Merge branch 'master' of asdf.us:megapixels_dev

304 files changed, 18653 insertions, 8509 deletions

diff --git a/client/actions.js b/client/actions.js
index 7007eb76..4ed6660d 100644
--- a/client/actions.js
+++ b/client/actions.js
@@ -1,9 +1,9 @@
-import * as faceAnalysis from './faceAnalysis/faceAnalysis.actions'
-import * as faceSearch from './faceSearch/faceSearch.actions'
-import * as nameSearch from './nameSearch/nameSearch.actions'
+// import * as faceAnalysis from './faceAnalysis/faceAnalysis.actions'
+// import * as faceSearch from './faceSearch/faceSearch.actions'
+// import * as nameSearch from './nameSearch/nameSearch.actions'
 
 export {
-  faceAnalysis,
-  faceSearch,
-  nameSearch,
+  // faceAnalysis,
+  // faceSearch,
+  // nameSearch,
 }
diff --git a/client/applet.js b/client/applet.js
index db95168a..ebc0e3fc 100644
--- a/client/applet.js
+++ b/client/applet.js
@@ -1,8 +1,8 @@
 import React, { Component } from 'react'
 
-import { Container as FaceSearchContainer } from './faceSearch'
-import { Container as FaceAnalysisContainer } from './faceAnalysis'
-import { Container as NameSearchContainer } from './nameSearch'
+// import { Container as FaceSearchContainer } from './faceSearch'
+// import { Container as FaceAnalysisContainer } from './faceAnalysis'
+// import { Container as NameSearchContainer } from './nameSearch'
 import { Container as DatasetListContainer } from './datasetList'
 import { CitationsTable, FileTable } from './table'
 import { CountriesByYear, PieCharts } from './chart'
@@ -11,12 +11,12 @@ export default class Applet extends Component {
   render() {
     // console.log(this.props.payload.cmd)
     switch (this.props.payload.cmd) {
-      case 'face_analysis':
-        return <FaceAnalysisContainer {...this.props} />
-      case 'face_search':
-        return <FaceSearchContainer {...this.props} />
-      case 'name_search':
-        return <NameSearchContainer {...this.props} />
+      // case 'face_analysis':
+      //   return <FaceAnalysisContainer {...this.props} />
+      // case 'face_search':
+      //   return <FaceSearchContainer {...this.props} />
+      // case 'name_search':
+      //   return <NameSearchContainer {...this.props} />
       case 'dataset_list':
         return <DatasetListContainer {...this.props} />
       case 'chart':
diff --git a/client/chart/pie.charts.js b/client/chart/pie.charts.js
index 84e85c3a..c3b94b7b 100644
--- a/client/chart/pie.charts.js
+++ b/client/chart/pie.charts.js
@@ -87,7 +87,7 @@ class PieCharts extends Component {
               height: countryRows.length < 4 ? 316 : 336,
             }}
           />
-          <span className='chartCaption'>{paper.name}{' dataset citations by country'}</span>
+          <span className='chartCaption'>{citations.length + ' verified ' + paper.name + ' dataset citations by country'}</span>
         </div>
         <div>
           <C3Chart
@@ -107,7 +107,7 @@ class PieCharts extends Component {
               height: 316,
             }}
           />
-          <span className='chartCaption'>{paper.name}{' dataset citations by organization type'}</span>
+          <span className='chartCaption'>{citations.length + ' verified ' + paper.name + ' dataset citations by organization type'}</span>
         </div>
       </div>
     )
diff --git a/client/index.js b/client/index.js
index 10ed8563..c003a8b3 100644
--- a/client/index.js
+++ b/client/index.js
@@ -24,7 +24,6 @@ function appendModalImage() {
   const el = document.createElement('div')
   document.body.appendChild(el)
   ReactDOM.render(<ModalImage />, el)
-  console.log(el)
 }
 
 function fetchDataset(payload) {
diff --git a/client/map/index.js b/client/map/index.js
index 475ba3c6..29fc2286 100644
--- a/client/map/index.js
+++ b/client/map/index.js
@@ -150,6 +150,15 @@ export default function append(el, payload) {
       el.removeChild(mapCover)
     }
   })
+  mapCover.querySelector('div').addEventListener('touchstart', (e) => {
+    e.preventDefault()
+  })
+  mapCover.querySelector('div').addEventListener('tap', () => {
+    map.scrollWheelZoom.enable()
+    if (mapCover.parentNode === el) {
+      el.removeChild(mapCover)
+    }
+  })
   function stopPropagation(e) {
     e.stopPropagation()
   }
diff --git a/client/modalImage/modal.css b/client/modalImage/modal.css
index d9180125..3ac9237e 100644
--- a/client/modalImage/modal.css
+++ b/client/modalImage/modal.css
@@ -1,7 +1,7 @@
 .modal {
   position: fixed;
   top: 0; left: 0; width: 100%; height: 100%;
-  background: rgba(0,0,0,0.8);
+  background: rgba(0,0,0,0.9);
   color: white;
   display: flex;
   justify-content: center;
@@ -25,45 +25,93 @@
   align-items: center;
 }
 .modal img {
-  max-width: 80vw;
-  max-height: 80vh;
+  max-width: 85vw;
+  max-height: 90vh;
 }
 .modal .caption {
   display: block;
   text-align: center;
+  background: black;
+  padding: 10px;
 }
-.modal .prev {
-  position: absolute;
-  top: 0; left: 0;
-  width: 10%;
-  height: 100%;
+.modal .prev span,
+.modal .next span,
+.modal .close span {
+  background: #222;
+  border-radius: 50%;
+  width: 40px;
+  height: 40px;
+  text-align: center;
   display: flex;
   justify-content: center;
   align-items: center;
-  color: white;
-  font-size: 40px;
-  cursor: pointer;
+  box-shadow: 0 1px 2px rgba(255,255,255,0.4);
+  transition: all 0.2s cubic-bezier(0,0,1,1);
+  user-select: none;
 }
-.modal .next {
+.desktop .modal .prev:hover span,
+.desktop .modal .prev:hover span,
+.desktop .modal .prev:hover span {
+  background: #000;
+  box-shadow: 0 1px 2px rgba(255,255,255,0.6);
+}
+.modal .prev,
+.modal .next,
+.modal .close {
   position: absolute;
-  top: 0; right: 0;
-  width: 10%;
+  top: 0;
+  padding: 20px;
+  width: 8%;
   height: 100%;
   display: flex;
   justify-content: center;
   align-items: center;
-  color: white;
-  font-size: 40px;
   cursor: pointer;
+  transition: all 0.1s cubic-bezier(0,0,0,1);
 }
+.modal .prev {
+  left: 0;
+}
+.modal .next {
+  right: 0;
+}
+.modal .prev img,
+.modal .next img {
+  max-width: 100%;
+  max-height: 100%;
+}
+
 .modal .close {
   position: absolute;
   top: 0; right: 0;
-  width: 10vw; height: 10vw;
+  width: 80px;
+  height: 80px;
+  max-width: 10vw;
+  max-height: 10vw;
   display: flex;
   justify-content: center;
   align-items: center;
-  color: white;
-  font-size: 40px;
   cursor: pointer;
+  transition: all 0.1s cubic-bezier(0,0,0,1);
+  padding: 20px;
+}
+.modal .close img {
+  width: 100%;
+  height: 100%;
+}
+
+.desktop .modal .prev:hover {
+  width: 9%;
+  left: -8px;
+}
+.desktop .modal .next:hover {
+  width: 9%;
+  right: -8px;
+}
+.desktop .modal .close:hover {
+  padding: 10px;
+}
+
+@media all and (max-device-width: 1024px) {
+
 }
\ No newline at end of file
diff --git a/client/modalImage/modalImage.container.js b/client/modalImage/modalImage.container.js
index a637deb6..d6271d61 100644
--- a/client/modalImage/modalImage.container.js
+++ b/client/modalImage/modalImage.container.js
@@ -10,7 +10,7 @@ import csv from 'parse-csv'
 
 class ModalImage extends Component {
   state = {
-    visible: true,
+    visible: false,
     images: [],
     index: 0,
   }
@@ -26,8 +26,11 @@ class ModalImage extends Component {
       if (document.activeElement && document.activeElement !== document.body) {
         return null
       }
-      // console.log(e.keyCode)
+      console.log(e.keyCode)
       switch (e.keyCode) {
+        case 27: // esc
+          this.close()
+          break
         case 37: // left
           this.prev()
           break
@@ -41,16 +44,21 @@ class ModalImage extends Component {
   }
 
   loadImage(index) {
+    const { images } = this.state
+    if (!images.length) return
+    if (index < 0 || index >= images.length) return
     this.setState({ visible: true, index })
   }
 
   prev() {
     const { index, images } = this.state
+    if (!images.length) return
     this.setState({ index: (images.length + index - 1) % images.length })
   }
 
   next() {
     const { index, images } = this.state
+    if (!images.length) return
     this.setState({ index: (index + 1) % images.length })
   }
 
@@ -75,9 +83,9 @@ class ModalImage extends Component {
             {caption && <div class='caption'>{caption}</div>}
           </div>
         </div>
-        <div onClick={() => this.prev()}className='prev'>{'<'}</div>
-        <div onClick={() => this.next()} className='next'>{'>'}</div>
-        <div onClick={() => this.close()} className='close'>{'x'}</div>
+        <div onClick={() => this.prev()} className='prev' aria-label='Previous image' alt='Previous image'><img src='/assets/img/arrow-left.png' /></div>
+        <div onClick={() => this.next()} className='next' aria-label='Next image' alt='Next image'><img src='/assets/img/arrow-right.png' /></div>
+        <div onClick={() => this.close()} className='close' aria-label='Close' alt='Close'><img src='/assets/img/close.png' /></div>
       </div>
     )
   }
diff --git a/client/store.js b/client/store.js
index e896bc58..a404a19d 100644
--- a/client/store.js
+++ b/client/store.js
@@ -1,14 +1,14 @@
 import { applyMiddleware, compose, combineReducers, createStore } from 'redux'
 import thunk from 'redux-thunk'
 
-import faceAnalysisReducer from './faceAnalysis/faceAnalysis.reducer'
-import faceSearchReducer from './faceSearch/faceSearch.reducer'
-import nameSearchReducer from './nameSearch/nameSearch.reducer'
+// import faceAnalysisReducer from './faceAnalysis/faceAnalysis.reducer'
+// import faceSearchReducer from './faceSearch/faceSearch.reducer'
+// import nameSearchReducer from './nameSearch/nameSearch.reducer'
 
 const rootReducer = combineReducers({
-  faceAnalysis: faceAnalysisReducer,
-  faceSearch: faceSearchReducer,
-  nameSearch: nameSearchReducer,
+  // faceAnalysis: faceAnalysisReducer,
+  // faceSearch: faceSearchReducer,
+  // nameSearch: nameSearchReducer,
 })
 
 function configureStore(initialState = {}) {
diff --git a/megapixels/app/processors/person_detector.py b/megapixels/app/processors/person_detector.py
new file mode 100644
index 00000000..6daa8c40
--- /dev/null
+++ b/megapixels/app/processors/person_detector.py
@@ -0,0 +1,65 @@
+import sys
+import os
+from os.path import join
+from pathlib import Path
+
+import cv2 as cv
+import numpy as np
+import imutils
+import operator
+
+from app.utils import im_utils, logger_utils
+from app.models.bbox import BBox
+from app.settings import app_cfg as cfg
+from app.settings import types
+
+
+class DetectorCVDNN:
+
+  # MobileNet SSD
+  dnn_scale = 0.007843  # fixed
+  dnn_mean = (127.5, 127.5, 127.5)  # fixed
+  dnn_crop = False  # crop or force resize
+  blob_size = (300, 300)
+  conf = 0.95
+
+  # detect
+  CLASSES = ["background", "aeroplane", "bicycle", "bird", "boat",
+    "bottle", "bus", "car", "cat", "chair", "cow", "diningtable",
+    "dog", "horse", "motorbike", "person", "pottedplant", "sheep",
+    "sofa", "train", "tvmonitor"]
+  
+  def __init__(self):
+    self.log = logger_utils.Logger.getLogger()
+    fp_prototxt = join(cfg.DIR_MODELS_CAFFE, 'mobilenet_ssd', 'MobileNetSSD_deploy.prototxt')
+    fp_model = join(cfg.DIR_MODELS_CAFFE, 'mobilenet_ssd', 'MobileNetSSD_deploy.caffemodel')
+    self.net = cv.dnn.readNet(fp_prototxt, fp_model)
+    self.net.setPreferableBackend(cv.dnn.DNN_BACKEND_OPENCV)
+    self.net.setPreferableTarget(cv.dnn.DNN_TARGET_CPU)
+
+  def detect(self, im, conf=None, largest=False, pyramids=None, zone=False, blob_size=None):
+    """Detects bodies and returns (list) of (BBox)"""
+    conf = self.conf if conf is None else conf
+    blob_size = self.blob_size if blob_size is None else blob_size
+    im = cv.resize(im, blob_size)
+    dim = im.shape[:2][::-1]
+    blob = cv.dnn.blobFromImage(im, self.dnn_scale, dim, self.dnn_mean)
+    self.net.setInput(blob)
+    net_outputs = self.net.forward()
+
+    bboxes = []
+    for i in range(0, net_outputs.shape[2]):
+      det_conf = float(net_outputs[0, 0, i, 2])
+      bounds = np.array(net_outputs[0, 0, i, 3:7])  # bug: ensure all x,y within 1.0 ?
+      if det_conf > conf and np.all(bounds < 1):
+        idx = int(net_outputs[0, 0, i, 1])
+        if self.CLASSES[idx] == "person":
+          rect_norm = net_outputs[0, 0, i, 3:7]
+          bboxes.append(BBox(*rect_norm))
+
+    if largest and len(bboxes) > 1:
+      # only keep largest
+      bboxes.sort(key=operator.attrgetter('area'), reverse=True)
+      bboxes = [bboxes[0]]
+
+    return bboxes
\ No newline at end of file
diff --git a/megapixels/app/settings/app_cfg.py b/megapixels/app/settings/app_cfg.py
index 1eed1a41..98d36b5f 100644
--- a/megapixels/app/settings/app_cfg.py
+++ b/megapixels/app/settings/app_cfg.py
@@ -19,6 +19,7 @@ LogLevelVar = click_utils.ParamVar(types.LogLevel)
 MetadataVar = click_utils.ParamVar(types.Metadata)
 DatasetVar = click_utils.ParamVar(types.Dataset)
 DataStoreVar = click_utils.ParamVar(types.DataStore)
+
 # Face analysis
 HaarCascadeVar = click_utils.ParamVar(types.HaarCascade)
 FaceDetectNetVar = click_utils.ParamVar(types.FaceDetectNet)
@@ -27,6 +28,10 @@ FaceLandmark2D_5Var = click_utils.ParamVar(types.FaceLandmark2D_5)
 FaceLandmark2D_68Var = click_utils.ParamVar(types.FaceLandmark2D_68)
 FaceLandmark3D_68Var = click_utils.ParamVar(types.FaceLandmark3D_68)
 
+# Person/Body detector
+BodyDetectNetVar = click_utils.ParamVar(types.BodyDetectNet)
+
+
 # base path
 DIR_SELF = os.path.dirname(os.path.realpath(__file__))
 DIR_ROOT = Path(DIR_SELF).parent.parent.parent
diff --git a/megapixels/app/settings/types.py b/megapixels/app/settings/types.py
index 3d7e96c0..2609ece7 100644
--- a/megapixels/app/settings/types.py
+++ b/megapixels/app/settings/types.py
@@ -59,6 +59,9 @@ class FaceDetectNet(Enum):
   """Scene text detector networks"""
   HAAR, DLIB_CNN, DLIB_HOG, CVDNN, MTCNN_TF, MTCNN_PT, MTCNN_CAFFE = range(7)
 
+class BodyDetectNet(Enum):
+  CVDNN = range(1)
+
 class FaceExtractor(Enum):
   """Type of face recognition feature extractor"""
   # TODO deprecate DLIB resnet and use only CVDNN Caffe models
diff --git a/megapixels/app/site/parser.py b/megapixels/app/site/parser.py
index dc2a09f2..92d950f8 100644
--- a/megapixels/app/site/parser.py
+++ b/megapixels/app/site/parser.py
@@ -59,10 +59,13 @@ def parse_markdown(metadata, sections, s3_path, skip_h1=False):
       if 'sidebar' not in section.lower():
         current_group.append(section)
       in_stats = True
+      if 'end sidebar' in section.lower():
+        current_group = [format_section(current_group, s3_path, 'right-sidebar', tag='div')]
+        in_stats = False
     elif in_stats and not section.strip().startswith('## ') and 'end sidebar' not in section.lower():
       current_group.append(section)
     elif in_stats and section.strip().startswith('## ') or 'end sidebar' in section.lower():
-      current_group = [format_section(current_group, s3_path, 'left-sidebar', tag='div')]
+      current_group = [format_section(current_group, s3_path, 'right-sidebar', tag='div')]
       if 'end sidebar' not in section.lower():
         current_group.append(section)
       in_stats = False
@@ -145,8 +148,11 @@ def parse_markdown(metadata, sections, s3_path, skip_h1=False):
         return '<a class="footnote_shim" name="{}_{}"> </a><a href="#{}" class="footnote" title="Footnote {}">{}</a>'.format(key, footnote_count, key, index, index)
       key_regex = re.compile(key.replace('[', '\\[').replace('^', '\\^').replace(']', '\\]'))
       content = key_regex.sub(footnote_tag, content)
-      footnote_txt = footnote_txt.replace("{}_BACKLINKS".format(index), "".join(footnote_backlinks))
+      footnote_txt = footnote_txt.replace("{}_BACKLINKS".format(key), "".join(footnote_backlinks))
+    content += '<section>'
+    content += '<h3>References</h3>'
     content += footnote_txt
+    content += '</section>'
   return content
 
 
@@ -254,7 +260,8 @@ def format_footnotes(footnotes, s3_path):
       continue
     key, note = footnote.split(': ', 1)
     footnote_index_lookup[key] = index
-    footnote_list.append('<a name="{}" class="footnote_shim"></a><span class="backlinks">{}_BACKLINKS</span>'.format(key, index) + markdown(note))
+    note_markup = markdown(note).replace('<p>', '', 1).replace('</p>', '', 1)
+    footnote_list.append('{} <a name="{}" class="footnote_shim"></a><span class="backlinks">{}_BACKLINKS</span>'.format(index, key, key) + note_markup)
     index += 1
 
   footnote_txt = '<section><ul class="footnotes"><li>' + '</li><li>'.join(footnote_list) + '</li></ul></section>'
diff --git a/megapixels/app/utils/display_utils.py b/megapixels/app/utils/display_utils.py
index 43328ae9..8e265ae7 100644
--- a/megapixels/app/utils/display_utils.py
+++ b/megapixels/app/utils/display_utils.py
@@ -19,3 +19,10 @@ def handle_keyboard(delay_amt=1):
       break
     elif k != 255:
       log.debug(f'k: {k}')
+
+def handle_keyboard_video(delay_amt=1):
+  key = cv.waitKey(1) & 0xFF
+  # if the `q` key was pressed, break from the loop
+  if key == ord("q"):
+    cv.destroyAllWindows()
+    sys.exit()
diff --git a/megapixels/app/utils/identity_utils.py b/megapixels/app/utils/identity_utils.py
index 775652dc..5855fbbd 100644
--- a/megapixels/app/utils/identity_utils.py
+++ b/megapixels/app/utils/identity_utils.py
@@ -29,6 +29,13 @@ def names_match_strict(a, b):
   return len(clean_a) == len(clean_b) and letter_match(clean_a, clean_b) and letter_match(clean_b, clean_a)
 
 
+def sanitize_name(name, as_str=False):
+  splits = [unidecode.unidecode(x.strip().lower()) for x in name.strip().split(' ')]
+  if as_str:
+    return ' '.join(splits)
+  else:
+    return splits
+
 '''
 class Dataset(Enum):
   LFW, VGG_FACE, VGG_FACE2, MSCELEB, UCCS, UMD_FACES, SCUT_FBP, UCF_SELFIE, UTK, \
@@ -106,12 +113,18 @@ def get_names(opt_dataset, opt_data_store=types.DataStore.HDD):
 def similarity(a, b):
   return difflib.SequenceMatcher(a=a.lower(), b=b.lower()).ratio()
 
-def names_match(name_a, name_b, threshold=0.9, as_float=False, compound_score=False):
+def names_match(name_a, name_b, threshold=0.9, as_float=False, compound_score=False, name_a_pre=False, name_b_pre=False):
   '''Returns boolean if names are similar enough
   '''
   # strip spaces and split names into list of plain text words
-  name_a_clean = [unidecode.unidecode(x.strip().lower()) for x in name_a.strip().split(' ')]
-  name_b_clean = [unidecode.unidecode(x.strip().lower()) for x in name_b.strip().split(' ')]
+  if name_a_pre:
+    name_a_clean = name_a
+  else:
+    name_a_clean = [unidecode.unidecode(x.strip().lower()) for x in name_a.strip().split(' ')]
+  if name_b_pre:
+    name_b_clean = name_b
+  else:
+    name_b_clean = [unidecode.unidecode(x.strip().lower()) for x in name_b.strip().split(' ')]
   
   # assign short long vars
   len_a = len(name_a_clean)
diff --git a/megapixels/commands/datasets/citations_to_csv.py b/megapixels/commands/datasets/citations_to_csv.py
index c6a04bd4..f3277d7e 100644
--- a/megapixels/commands/datasets/citations_to_csv.py
+++ b/megapixels/commands/datasets/citations_to_csv.py
@@ -35,9 +35,12 @@ def cli(ctx, opt_fp_in, opt_dir_out):
   else:
     fps_in = [opt_fp_in]
 
-  log.info(f'{fps_in}')
+  log.info(f'Converting {len(fps_in)} JSON files to CSV')
 
   for fp_in in fps_in:
+    
+    log.info(f'Processing: {Path(fp_in).name}')
+
     with open(fp_in, 'r') as fp:
       json_data = json.load(fp)
 
@@ -45,18 +48,22 @@ def cli(ctx, opt_fp_in, opt_dir_out):
     papers = []
     dataset_key = json_data['paper']['key']
     dataset_name = json_data['paper']['name']
-    papers_main = get_orig_paper(json_data)
-    papers += papers_main
-    papers_citations = get_citations(dataset_key, dataset_name, json_data)
-    papers += papers_citations
-    papers = [p.to_dict() for p in papers]
+    try:
+      papers_main = get_orig_paper(json_data)
+      papers += papers_main
+      papers_citations = get_citations(dataset_key, dataset_name, json_data)
+      papers += papers_citations
+      papers = [p.to_dict() for p in papers]
+    except Exception as e:
+      log.error(f'{e} on {Path(fp_in).name}')
+      continue
     
     # save
     if not opt_dir_out:
       # save to same directory replacing ext
       fp_out = fp_in.replace('.json','.csv')
     else:
-      fp_out = join(opt_dir_out, Path(fp_in).name)
+      fp_out = join(opt_dir_out, f'{Path(fp_in).stem}.csv')
 
     df_papers = pd.DataFrame.from_dict(papers)
     df_papers.index.name = 'id'
@@ -76,13 +83,13 @@ def get_citations(dataset_key, dataset_name, json_data):
     addresses = p.get('addresses', '')
     if addresses:
       for a in addresses:
-        pdf_url = '' if not p['pdf'] else p['pdf'][0]
+        pdf_url = '' if not p.get('pdf') else p.get('pdf')[0]
         paper = Paper(dataset_key, dataset_name, p['id'], p['title'], d_type,
                   year, pdf_url,
                   a['name'], a['type'], a['lat'], a['lng'], a['country'])  
         papers.append(paper)
     else:
-      pdf_url = '' if not p['pdf'] else p['pdf'][0]
+      pdf_url = '' if not p.get('pdf') else p.get('pdf')[0]
       paper = Paper(p['key'], p['name'], d['id'], p['title'], 'main', year, pdf_url)
       papers.append(paper)
   return papers
@@ -98,13 +105,13 @@ def get_orig_paper(json_data):
     for a in addresses:
       if type(a) == str or a is None:
         continue
-      pdf_url = '' if not p['pdf'] else p['pdf'][0]
-      paper = Paper(p['key'], p['name'], p['paper_id'], p['title'], d_type, year,
+      pdf_url = '' if not p.get('pdf') else p.get('pdf')[0]
+      paper = Paper(p.get('key'), p.get('name'), p.get('paper_id'), p.get('title'), d_type, year,
                   pdf_url,
-                  a['name'], a['type'], a['lat'], a['lng'], a['country'])
+                  a.get('name'), a.get('type'), a.get('lat'), a.get('lng'), a.get('country'))
       papers.append(paper)
   else:
-    pdf_url = '' if not p['pdf'] else p['pdf'][0]
-    paper = Paper(p['key'], p['name'], p['paper_id'], p['title'], d_type, year, pdf_url)
+    pdf_url = '' if not p.get('pdf') else p.get('pdf')[0]
+    paper = Paper(p.get('key'), p.get('name'), p.get('paper_id'), p.get('title'), d_type, year, pdf_url)
     papers.append(paper)
   return papers
diff --git a/megapixels/commands/datasets/pull_spreadsheet.py b/megapixels/commands/datasets/pull_spreadsheet.py
index b8b68094..caf5eb43 100644
--- a/megapixels/commands/datasets/pull_spreadsheet.py
+++ b/megapixels/commands/datasets/pull_spreadsheet.py
@@ -21,6 +21,10 @@ from app.utils.logger_utils import Logger
 log = Logger.getLogger()
 
 opt_sheets = ['datasets', 'relationships', 'funding', 'references', 'sources', 'tags', 'citations', 'legal']
+dataset_sheet_keys = ['key', 'name_short', 'name_full', 'url', 'dl_im', 'purpose', 'funded_by',
+  'year_start', 'year_end', 'year_published', 'images', 'videos', 'identities', 
+  'faces_or_persons', 'campus', 'youtube', 'flickr', 'google', 'bing', 'comment']
+
 
 @click.command()
 @click.option('-n', '--name', 'opt_spreadsheets', multiple=True,
@@ -30,11 +34,15 @@ opt_sheets = ['datasets', 'relationships', 'funding', 'references', 'sources', '
 @click.option('--all', 'opt_all', is_flag=True,
   help='Get all sheets')
 @click.option('-o', '--output', 'opt_fp_out', required=True,
+  type=click.Path(file_okay=False, dir_okay=True),
   help='Path to directory or filename')
+@click.option('--share', 'opt_share', required=True,
+  type=click.Choice(['nyt', 'ft']),
+  help='Share filter')
 @click.option('-f', '--force', 'opt_force', is_flag=True,
   help='Force overwrite')
 @click.pass_context
-def cli(ctx, opt_spreadsheets, opt_fp_out, opt_all, opt_force):
+def cli(ctx, opt_spreadsheets, opt_fp_out, opt_all, opt_share, opt_force):
   """Fetch Google spreadsheet"""
   
   import sys
@@ -47,6 +55,12 @@ def cli(ctx, opt_spreadsheets, opt_fp_out, opt_all, opt_force):
   
   for sheet_name in opt_spreadsheets:
     log.info(f'Get spreadsheet: {sheet_name}')
+    fp_out = join(opt_fp_out, f'{sheet_name}.csv')
+    fpp_out = Path(fp_out)
+    if fpp_out.exists() and not opt_force:
+      log.error(f'File "{fpp_out} exists. Use "-f" to overwrite')
+      return
+
     sheet_data = fetch_google_sheet_objects(name=sheet_name)
     df_sheet = pd.DataFrame.from_dict(sheet_data)
     if sheet_name == 'datasets':
@@ -58,22 +72,19 @@ def cli(ctx, opt_spreadsheets, opt_fp_out, opt_all, opt_force):
       fpp_out = fpp_out.parent
     else:
       fpp_out = join(opt_fp_out, f'{sheet_name}.csv')
+    log.info(f'Writing file: {fpp_out}')
     df_sheet.to_csv(fpp_out)
 
 
 def clean_datasets_sheet_ft(df):
   # clean data for FT
   df = df[df['ft_share'] == 'Y']
-  keys = ['key', 'name_short', 'name_full', 'url', 'downloaded', 'purpose', 'wild']
-  keys += ['campus', 'year_start', 'year_end', 'year_published', 'images', 'videos', 'identities', 'faces_or_persons', 'youtube', 'flickr', 'google', 'bing', 'comment']
-  return df[keys]
+  return df[dataset_sheet_keys]
 
 def clean_datasets_sheet_nyt(df):
   # clean data for FT
   df = df[df['ft_share'] == 'Y']
-  keys = ['key', 'name_short', 'name_full', 'url', 'downloaded', 'purpose', 'wild']
-  keys += ['campus', 'year_start', 'year_end', 'year_published', 'images', 'videos', 'identities', 'faces_or_persons', 'youtube', 'flickr', 'google', 'bing', 'comment']
-  return df[keys]
+  return df[dataset_sheet_keys]
 
 def fetch_spreadsheet():
   """Open the Google Spreadsheet, which contains the individual worksheets"""
diff --git a/megapixels/commands/processor/body_roi_video.py b/megapixels/commands/processor/body_roi_video.py
new file mode 100644
index 00000000..84bcebd2
--- /dev/null
+++ b/megapixels/commands/processor/body_roi_video.py
@@ -0,0 +1,148 @@
+"""
+Crop images to prepare for training
+"""
+
+import click
+# from PIL import Image, ImageOps, ImageFilter, ImageDraw
+
+from app.settings import types
+from app.utils import click_utils
+from app.settings import app_cfg as cfg
+
+color_filters = {'color': 1, 'gray': 2, 'all': 3}
+
+@click.command()
+@click.option('-i', '--input', 'opt_fp_in', required=True,
+  help='Override enum input filename CSV')
+@click.option('-o', '--output', 'opt_fp_out', required=True,
+  help='Override enum output filename CSV')
+@click.option('--store', 'opt_data_store',
+  type=cfg.DataStoreVar,
+  default=click_utils.get_default(types.DataStore.HDD),
+  show_default=True,
+  help=click_utils.show_help(types.Dataset))
+@click.option('--size', 'opt_size', 
+  type=(int, int), default=(640, 480),
+  help='Input image size')
+@click.option('-d', '--detector', 'opt_detector_type',
+  type=cfg.BodyDetectNetVar,
+  default=click_utils.get_default(types.BodyDetectNet.CVDNN),
+  help=click_utils.show_help(types.BodyDetectNet))
+@click.option('-g', '--gpu', 'opt_gpu', default=0,
+  help='GPU index')
+@click.option('--conf', 'opt_conf_thresh', default=0.85, type=click.FloatRange(0,1),
+  help='Confidence minimum threshold')
+@click.option('-p', '--pyramids', 'opt_pyramids', default=0, type=click.IntRange(0,4),
+  help='Number pyramids to upscale for DLIB detectors')
+@click.option('--slice', 'opt_slice', type=(int, int), default=(None, None),
+  help='Slice list of files')
+@click.option('--display/--no-display', 'opt_display', is_flag=True, default=False,
+  help='Display detections to debug')
+@click.option('-f', '--force', 'opt_force', is_flag=True,
+  help='Force overwrite file')
+@click.option('--color', 'opt_color_filter', 
+  type=click.Choice(color_filters.keys()), default='color',
+  help='Filter to keep color or grayscale images (color = keep color')
+@click.option('--keep', 'opt_largest', type=click.Choice(['largest', 'all']), default='largest',
+  help='Only keep largest face')
+@click.option('--zone', 'opt_zone', default=(0.0, 0.0), type=(float, float), 
+  help='Face center must be located within zone region (0.5 = half width/height)')
+@click.pass_context
+def cli(ctx, opt_fp_in, opt_fp_out, opt_data_store, opt_size, opt_detector_type, 
+  opt_gpu, opt_conf_thresh, opt_pyramids, opt_slice, opt_display, opt_force, opt_color_filter,
+  opt_largest, opt_zone):
+  """Converts frames with faces to CSV of ROIs"""
+  
+  import sys
+  import os
+  from os.path import join
+  from pathlib import Path
+  from glob import glob
+  
+  from tqdm import tqdm
+  import numpy as np
+  import dlib  # must keep a local reference for dlib
+  import cv2 as cv
+  import pandas as pd
+
+  from app.utils import logger_utils, file_utils, im_utils, display_utils, draw_utils
+  from app.processors import person_detector
+  from app.models.data_store import DataStore
+
+  # -------------------------------------------------
+  # init here
+
+  log = logger_utils.Logger.getLogger()
+
+  opt_fp_out = opt_fp_out
+  if not opt_force and Path(opt_fp_out).exists():
+    log.error('File exists. Use "-f / --force" to overwite')
+    return
+  
+  # set detector
+  if opt_detector_type == types.BodyDetectNet.CVDNN:
+    detector = person_detector.DetectorCVDNN()
+  else:
+    log.error('{} not yet implemented'.format(opt_detector_type.name))
+    return
+
+  # set largest flag, to keep all or only largest
+  opt_largest = (opt_largest == 'largest')
+
+  # process video
+  cap = cv.VideoCapture(opt_fp_in)
+  
+  bboxes_all = []
+  data_out = []
+  frame_index = 0
+  
+  while cap.isOpened():
+    # get video frame
+    readable, im = cap.read()
+    if not readable:
+      break
+
+    im_resized = im_utils.resize(im, width=opt_size[0], height=opt_size[1])
+
+    try:
+      bboxes_norm = detector.detect(im_resized, pyramids=opt_pyramids, largest=opt_largest, 
+        zone=opt_zone, conf=opt_conf_thresh, blob_size=opt_size)
+    except Exception as e:
+      log.error('could not detect: {}'.format(frame_index))
+      log.error('{}'.format(e))
+      continue
+
+    for bbox in bboxes_norm:
+      roi = {
+        'record_index': frame_index,
+        'x': bbox.x,
+        'y': bbox.y,
+        'w': bbox.w,
+        'h': bbox.h
+        }
+      data_out.append(roi)
+
+    if opt_display and len(bboxes_norm):
+      # draw each box
+      for bbox_norm in bboxes_norm:
+        dim = im_resized.shape[:2][::-1]
+        bbox_dim = bbox.to_dim(dim)
+        # if dim[0] > 1000:
+        #   im_resized = im_utils.resize(im_resized, width=1000)
+        im_resized = draw_utils.draw_bbox(im_resized, bbox_norm)
+
+      # display and wait
+      cv.imshow('', im_resized)
+      display_utils.handle_keyboard_video()
+
+    frame_index += 1
+
+
+  # create DataFrame and save to CSV
+  file_utils.mkdirs(opt_fp_out)
+  df = pd.DataFrame.from_dict(data_out)
+  df.index.name = 'index'
+  df.to_csv(opt_fp_out)
+
+  # save script
+  file_utils.write_text(' '.join(sys.argv), '{}.sh'.format(opt_fp_out))
\ No newline at end of file
diff --git a/megapixels/notebooks/data/colorbar_saliency.png b/megapixels/notebooks/data/colorbar_saliency.png
new file mode 100755
index 00000000..4d3b43dc
--- /dev/null
+++ b/megapixels/notebooks/data/colorbar_saliency.png
diff --git a/megapixels/notebooks/datasets/brainwash/brainwash_bboxes.ipynb b/megapixels/notebooks/datasets/brainwash/brainwash_bboxes.ipynb
index 3c9074fa..bd357ad3 100644
--- a/megapixels/notebooks/datasets/brainwash/brainwash_bboxes.ipynb
+++ b/megapixels/notebooks/datasets/brainwash/brainwash_bboxes.ipynb
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -62,7 +62,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 131,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -122,69 +122,271 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "8966\n"
+      "loaded image\n"
      ]
     }
    ],
    "source": [
-    "fp_ims = glob(join(fp_dir_ims, '*.png'))\n",
-    "print(len(fp_ims))"
+    "use_existing = True\n",
+    "\n",
+    "if use_existing:\n",
+    "  # load average image\n",
+    "  im_mean = cv.imread(fp_out_mean)\n",
+    "  print('loaded image')\n",
+    "else:\n",
+    "  # or create\n",
+    "  fp_ims = glob(join(fp_dir_ims, '*.png'))\n",
+    "  print(len(fp_ims))\n",
+    "\n",
+    "  ims = []\n",
+    "  for fp_im in fp_ims:\n",
+    "    ims.append(cv.imread(fp_im))\n",
+    "\n",
+    "  im_mean = np.mean(ims, axis=0).astype(np.uint8)\n",
+    "  cv.imwrite(fp_out_mean, im_mean)\n",
+    "  print('wrote image')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7f9dd994be80>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.imshow(im_mean)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Draw BBoxes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "im_mean_copy = im_mean.copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
-    "ims = []\n",
-    "for fp_im in fp_ims:\n",
-    "  ims.append(cv.imread(fp_im))"
+    "bboxes_test = file_utils.load_json(fp_json_test)\n",
+    "bboxes_train = file_utils.load_json(fp_json_train)\n",
+    "bboxes_val = file_utils.load_json(fp_json_val)\n",
+    "bboxes_all = bboxes_val + bboxes_test + bboxes_train"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "11769\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(len(bboxes_all))"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 9,
    "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'image_path': 'brainwash_11_24_2014_images/06966500_640x480.png',\n",
+      " 'rects': [{'x1': 182.0, 'x2': 197.0, 'y1': 138.0, 'y2': 156.0},\n",
+      "           {'x1': 160.0, 'x2': 177.0, 'y1': 153.0, 'y2': 175.0},\n",
+      "           {'x1': 128.0, 'x2': 147.0, 'y1': 168.0, 'y2': 190.0},\n",
+      "           {'x1': 195.0, 'x2': 241.0, 'y1': 221.0, 'y2': 271.0},\n",
+      "           {'x1': 249.0, 'x2': 271.0, 'y1': 159.0, 'y2': 183.0},\n",
+      "           {'x1': 334.0, 'x2': 350.0, 'y1': 136.0, 'y2': 154.0},\n",
+      "           {'x1': 424.0, 'x2': 446.0, 'y1': 135.0, 'y2': 156.0},\n",
+      "           {'x1': 474.0, 'x2': 494.0, 'y1': 150.0, 'y2': 169.0},\n",
+      "           {'x1': 520.0, 'x2': 540.0, 'y1': 173.0, 'y2': 199.0}]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "pprint(bboxes_all[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "BBox: (0.3375,0.33125), (0.39375, 0.5854166666666667), width:0.05624999999999997, height:0.2541666666666667\n"
+     ]
+    }
+   ],
+   "source": [
+    "bboxes = []\n",
+    "#bboxes_jit = []\n",
+    "dim = (640,480)\n",
+    "for bbox in bboxes_all:\n",
+    "  for rect in bbox['rects']:\n",
+    "      b = BBox.from_xyxy_dim(rect['x1'], rect['y1'], rect['x2'], rect['y2'], dim)\n",
+    "      if b.width > .25 or b.height > .25:\n",
+    "        print(b)\n",
+    "      bboxes.append(BBox.from_xyxy_dim(rect['x1'], rect['y1'], rect['x2'], rect['y2'], dim))\n",
+    "      #bboxes_jit.append(BBox.from_xyxy_dim(jit(rect['x1']), jit(rect['y1']), jit(rect['x2']), jit(rect['y2']), dim))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "ims_test = ims[:10]"
+    "# random shuffle bboxes\n",
+    "#bboxes_rand = bboxes_jit.copy()\n",
+    "#random.shuffle(bboxes_rand)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "BBox: (0.284375,0.2875), (0.3078125, 0.325), width:0.0234375, height:0.03750000000000003\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(bboxes[0])\n",
+    "bbox = bboxes[0]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Create Saliency Heat Map"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 218,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c779299eb4354ceaa7e7399d1fb06fdf",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(IntProgress(value=0, max=90298), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "im_saliency = np.zeros([dim[1], dim[0]]).astype(np.float32)\n",
+    "for i, bbox in enumerate(tqdm(bboxes)):\n",
+    "  bbox = bbox.to_dim(dim)\n",
+    "  pt1, pt2 = tuple(map(int, bbox.pt_tl)), tuple(map(int, bbox.pt_br))\n",
+    "  im_saliency[pt1[1]:pt2[1], pt1[0]:pt2[0]] += 1"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 551,
    "metadata": {},
    "outputs": [],
    "source": [
-    "im_mean = np.mean(ims, axis=0).astype(np.uint8)"
+    "im_saliency_mean = (im_saliency /  (np.max(im_saliency) / 3 )).astype(np.float32)\n",
+    "im_saliency_mean = 255 * im_saliency_mean\n",
+    "im_saliency_mean = np.clip(im_saliency_mean, 0, 255).astype(np.uint8)\n",
+    "im_saliency_mean = cv.blur(im_saliency_mean, ksize=(13, 13))\n",
+    "\n",
+    "im_saliency_mean_bgr = cv.cvtColor(im_saliency_mean, cv.COLOR_GRAY2BGR)\n",
+    "im_cm = cv.applyColorMap(im_saliency_mean, cv.COLORMAP_JET)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 552,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x7f9f4d4bf0b8>"
+       "<matplotlib.image.AxesImage at 0x7f9d978ef048>"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 552,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -196,138 +398,219 @@
     }
    ],
    "source": [
-    "plt.imshow(im_mean)"
+    "plt.imshow(im_saliency_mean_bgr)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 553,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "True"
+       "<matplotlib.image.AxesImage at 0x7f9d97842860>"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 553,
      "metadata": {},
      "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "cv.imwrite(fp_out_mean, im_mean)"
+    "plt.imshow(cv.cvtColor((im_cm).astype(np.uint8), cv.COLOR_BGR2RGB))"
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 554,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7f9d9781e198>"
+      ]
+     },
+     "execution_count": 554,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "## Draw BBoxes"
+    "# preview overlay (not for production)\n",
+    "alpha = 0.5\n",
+    "im_comp = cv.addWeighted(im_mean, alpha, im_cm, 1 - alpha, 0)\n",
+    "plt.imshow(cv.cvtColor(im_comp, cv.COLOR_BGR2RGB))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 555,
    "metadata": {},
    "outputs": [],
    "source": [
-    "im_mean_copy = im_mean.copy()"
+    "import blend_modes"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 556,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7f9d977f3470>"
+      ]
+     },
+     "execution_count": 556,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.imshow(im_cm)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 672,
    "metadata": {},
    "outputs": [],
    "source": [
-    "bboxes_test = file_utils.load_json(fp_json_test)\n",
-    "bboxes_train = file_utils.load_json(fp_json_train)\n",
-    "bboxes_val = file_utils.load_json(fp_json_val)\n",
-    "bboxes_raw = bboxes_val + bboxes_test + bboxes_train"
+    "im_dark = np.ones_like(im_mean) * np.array([.05])\n",
+    "im_mean_dark = cv.addWeighted(im_mean, 0.9, im_dark, 0.3, 0)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 189,
+   "execution_count": 673,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "81973\n"
-     ]
-    }
-   ],
+   "outputs": [],
+   "source": [
+    "im_mean_bgra = cv.cvtColor(im_mean_dark.astype(np.float32), cv.COLOR_BGR2BGRA)\n",
+    "im_cm_bgra = cv.cvtColor(im_cm_test_blur.astype(np.float32), cv.COLOR_BGR2BGRA)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 674,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Blend images\n",
+    "opacity = 1  # The opacity of the foreground that is blended onto the background is 70 %.\n",
+    "#blended_img_float = blend_modes.screen(im_mean_bgra, im_cm_bgra, opacity)\n",
+    "blended_img_float = blend_modes.dodge(im_mean_bgra, im_cm_bgra, opacity)\n",
+    "blended_img_float = blend_modes.overlay(blended_img_float.copy(), im_cm_bgra, opacity)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 675,
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "print(len(bboxes))"
+    "blended_img = blended_img_float.astype(np.uint8)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 676,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'image_path': 'brainwash_11_13_2014_images/00001000_640x480.png',\n",
-      " 'rects': [{'x1': 63.0, 'x2': 89.0, 'y1': 260.0, 'y2': 287.0},\n",
-      "           {'x1': 115.0, 'x2': 135.0, 'y1': 174.0, 'y2': 193.0},\n",
-      "           {'x1': 155.0, 'x2': 168.0, 'y1': 158.0, 'y2': 174.0},\n",
-      "           {'x1': 184.0, 'x2': 203.0, 'y1': 162.0, 'y2': 180.0},\n",
-      "           {'x1': 182.0, 'x2': 196.0, 'y1': 137.0, 'y2': 150.0},\n",
-      "           {'x1': 283.0, 'x2': 301.0, 'y1': 124.0, 'y2': 143.0},\n",
-      "           {'x1': 292.0, 'x2': 305.0, 'y1': 132.0, 'y2': 145.0},\n",
-      "           {'x1': 321.0, 'x2': 338.0, 'y1': 119.0, 'y2': 134.0},\n",
-      "           {'x1': 295.0, 'x2': 311.0, 'y1': 161.0, 'y2': 180.0},\n",
-      "           {'x1': 320.0, 'x2': 344.0, 'y1': 173.0, 'y2': 192.0},\n",
-      "           {'x1': 328.0, 'x2': 362.0, 'y1': 222.0, 'y2': 261.0},\n",
-      "           {'x1': 470.0, 'x2': 513.0, 'y1': 245.0, 'y2': 289.0}]}\n"
-     ]
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7f9d96c2dc50>"
+      ]
+     },
+     "execution_count": 676,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "pprint(bboxes_test[0])"
+    "blended_img = cv.cvtColor(blended_img, cv.COLOR_BGRA2BGR)\n",
+    "cv.imwrite('/home/adam/Downloads/test.png', blended_img)\n",
+    "plt.imshow(cv.cvtColor(blended_img, cv.COLOR_BGR2RGB))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 136,
+   "execution_count": 312,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "BBox: (0.3375,0.33125), (0.39375, 0.5854166666666667), width:0.05624999999999997, height:0.2541666666666667\n"
-     ]
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 312,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "bboxes = []\n",
-    "bboxes_jit = []\n",
-    "dim = (640,480)\n",
-    "for bbox in bboxes_train:\n",
-    "  for rect in bbox['rects']:\n",
-    "      b = BBox.from_xyxy_dim(rect['x1'], rect['y1'], rect['x2'], rect['y2'], dim)\n",
-    "      if b.width > .25 or b.height > .25:\n",
-    "        print(b)\n",
-    "      bboxes.append(BBox.from_xyxy_dim(rect['x1'], rect['y1'], rect['x2'], rect['y2'], dim))\n",
-    "      bboxes_jit.append(BBox.from_xyxy_dim(jit(rect['x1']), jit(rect['y1']), jit(rect['x2']), jit(rect['y2']), dim))"
+    "cv.imwrite('/data_store/datasets/people/brainwash/processed/brainwash_saliency.png', image_cm)\n",
+    "cv.imwrite('/data_store/datasets/people/brainwash/processed/brainwash_saliency_bw.png', im_saliency_mean)"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "# random shuffle bboxes\n",
-    "bboxes_rand = bboxes_jit.copy()\n",
-    "random.shuffle(bboxes_rand)"
+    "## Old Version"
    ]
   },
   {
diff --git a/megapixels/notebooks/datasets/duke_mtmc/duke_mtmc_montage.ipynb b/megapixels/notebooks/datasets/duke_mtmc/duke_mtmc_montage.ipynb
new file mode 100644
index 00000000..21c4901a
--- /dev/null
+++ b/megapixels/notebooks/datasets/duke_mtmc/duke_mtmc_montage.ipynb
@@ -0,0 +1,323 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Duke MTMC Re-ID Montage\n",
+    "\n",
+    "- get file list one per ID\n",
+    "- fit images\n",
+    "- create montages at 1920x1080"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%reload_ext autoreload\n",
+    "%autoreload 2\n",
+    "\n",
+    "import os\n",
+    "from os.path import join\n",
+    "import math\n",
+    "from glob import glob\n",
+    "from random import randint\n",
+    "\n",
+    "import cv2 as cv\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from PIL import Image, ImageDraw\n",
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "import scipy.io as sio\n",
+    "import h5py\n",
+    "from pathlib import Path\n",
+    "from sklearn import preprocessing\n",
+    "from tqdm import tqdm_notebook as tqdm\n",
+    "import imutils\n",
+    "\n",
+    "import sys\n",
+    "sys.path.append('/work/megapixels_dev/megapixels/')\n",
+    "from app.settings import app_cfg as cfg\n",
+    "from app.utils import file_utils, im_utils\n",
+    "from app.models.bbox import BBox"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fp_dir_duke = '/data_store/datasets/people/duke_mtmc/'\n",
+    "fp_dir_dataset = join(fp_dir_duke, 'dataset')\n",
+    "fp_dir_reid = join(fp_dir_dataset, 'DukeMTMC-reID_evaluation/DukeMTMC-reID/')\n",
+    "fp_dir_test = join(fp_dir_reid, 'bounding_box_test')\n",
+    "fp_dir_train = join(fp_dir_reid, 'bounding_box_train')\n",
+    "fp_dir_query = join(fp_dir_reid, 'query')\n",
+    "fp_dir_processed = join(fp_dir_duke, 'processed')\n",
+    "fp_out_montage = join(fp_dir_processed, 'duke_mtmc_reid_montage.jpg')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fps_im_train = glob(join(fp_dir_train, '*.jpg'))\n",
+    "fps_im_test = glob(join(fp_dir_test, '*.jpg'))\n",
+    "fps_im_query = glob(join(fp_dir_query, '*.jpg'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "36,411\n"
+     ]
+    }
+   ],
+   "source": [
+    "fps_im = fps_im_train + fps_im_test + fps_im_query\n",
+    "print(f'{len(fps_im):,}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "a0834d5b927e463ab076f7fad2cb1fcb",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(IntProgress(value=0, max=36411), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# create id hash key\n",
+    "im_ids = {}\n",
+    "for fp_im in tqdm(fps_im):\n",
+    "  fname = Path(fp_im).name\n",
+    "  id_str = fname[:4]\n",
+    "  if not id_str in im_ids.keys():\n",
+    "    im_ids[id_str] = []\n",
+    "  im_ids[id_str].append(fp_im)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['0001', '0008', '0013', '0014', '0015', '0016', '0017', '0018', '0020', '0022']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(list(im_ids.keys())[:10])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Help on built-in function sorted in module builtins:\n",
+      "\n",
+      "sorted(iterable, /, *, key=None, reverse=False)\n",
+      "    Return a new list containing all items from the iterable in ascending order.\n",
+      "    \n",
+      "    A custom key function can be supplied to customize the sort order, and the\n",
+      "    reverse flag can be set to request the result in descending order.\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "help(sorted)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from collections import OrderedDict\n",
+    "im_ids = OrderedDict(im_ids)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from PIL import Image, ImageOps"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "33fee82d90314813b914fa80870220b9",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(IntProgress(value=0, max=1812), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# grab one image per ID, resize height, add to array\n",
+    "ims = []\n",
+    "ims_colors = {}\n",
+    "count = 0\n",
+    "limit = 100000\n",
+    "max_width = 64\n",
+    "for im_id, fps_id in tqdm(im_ids.items()):\n",
+    "  fp_im = fps_id[0]\n",
+    "  #m = cv.imread(fp_im)\n",
+    "  im_pil = Image.open(fp_im)\n",
+    "  im_pil = ImageOps.fit(im_pil, (64,128), centering=(0.5, 0.0))\n",
+    "  im = im_utils.pil2np(im_pil)\n",
+    "  ims.append(im)\n",
+    "  im_hsv = cv.cvtColor(im, cv.COLOR_BGR2HSV)\n",
+    "  \n",
+    "  if count > limit:\n",
+    "    break\n",
+    "  count += 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "im_montages = imutils.build_montages(ims, (64,128), (80,20))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 105,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cv.imwrite(fp_out_montage, im_montages[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7f4874707400>"
+      ]
+     },
+     "execution_count": 99,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.imshow(im_montages[0])"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "megapixels",
+   "language": "python",
+   "name": "megapixels"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/megapixels/notebooks/datasets/duke_mtmc/duke_viz_bboxes.ipynb b/megapixels/notebooks/datasets/duke_mtmc/duke_viz_bboxes.ipynb
index 43007144..cd70da9d 100644
--- a/megapixels/notebooks/datasets/duke_mtmc/duke_viz_bboxes.ipynb
+++ b/megapixels/notebooks/datasets/duke_mtmc/duke_viz_bboxes.ipynb
@@ -49,11 +49,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
     "fp_det_trainval = '/data_store/datasets/people/duke_mtmc/dataset/trainvalRaw.mat'\n",
+    "fp_dir_processed = '/data_store/datasets/people/duke_mtmc/processed/'\n",
+    "fp_dir_vids = '/data_store/datasets/people/duke_mtmc/dataset/videos/'\n",
     "fp_out_bboxes = '/data_store/datasets/people/duke_mtmc/processed/duke_mtmc_bboxes_01.png'"
    ]
   },
@@ -105,7 +107,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5a4b6187bdfc424b87b2d427dec2a2fa",
+       "model_id": "7eaff9a503e8426380c71e84a262f448",
        "version_major": 2,
        "version_minor": 0
       },
@@ -155,230 +157,379 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "cam = 6"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 80,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "fp_video_cam = f'/data_store/datasets/people/duke_mtmc/dataset/videos/camera{cam}/00001.mp4'\n",
-    "frames = []\n",
-    "dec = 60\n",
-    "count = 0\n",
-    "frames_read = 0\n",
-    "vid = cv.VideoCapture(fp_video_cam)\n",
-    "while vid.isOpened():\n",
-    "  read, frame = vid.read()\n",
-    "  frames_read += 1\n",
-    "  if count == dec:\n",
-    "    if not read:\n",
-    "      break\n",
-    "    frames.append(frame)\n",
-    "    if len(frames) > 10000:\n",
-    "      break\n",
-    "    count = 0\n",
-    "  else:\n",
-    "    count += 1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "5ee08cb23c844e009d5ca5bd2ef39d09",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(IntProgress(value=0, max=10), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "629 38430\n"
+      "\n"
      ]
     },
     {
      "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "0f4bafaeaed7461d8ebba036890db289",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x7fa67b270048>"
+       "HBox(children=(IntProgress(value=0, max=10), HTML(value='')))"
       ]
      },
-     "execution_count": 69,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
     },
     {
      "data": {
-      "image/png": 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\n",
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c1a936c427b0425eb910be1d7115669b",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "HBox(children=(IntProgress(value=0, max=10), HTML(value='')))"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "9a0e24e13f0c44f4a2574ad5ae3be63c",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(IntProgress(value=0, max=10), HTML(value='')))"
+      ]
      },
+     "metadata": {},
      "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "print(len(frames), frames_read)\n",
-    "plt.imshow(frames[0])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 70,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# save average for each camera\n",
-    "im_mean = np.mean(frames, axis=0).astype(np.uint8)\n",
-    "cv.imwrite(fp_out_cam_avg, im_mean)\n",
-    "fp_out_cam_avg = f'/data_store/datasets/people/duke_mtmc/processed/cam{cam}_average.png'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 71,
-   "metadata": {},
-   "outputs": [
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
     {
      "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d3bdb03e99804938b655e9083d5823df",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "<matplotlib.image.AxesImage at 0x7fa6779bee10>"
+       "HBox(children=(IntProgress(value=0, max=10), HTML(value='')))"
       ]
      },
-     "execution_count": 71,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
     },
     {
      "data": {
-      "image/png": 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\n",
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "43ce9c80dddd42239e718dbd40ba1e07",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "HBox(children=(IntProgress(value=0, max=9), HTML(value='')))"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c445c047d97e4825a41b163782f795b5",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(IntProgress(value=0, max=9), HTML(value='')))"
+      ]
      },
+     "metadata": {},
      "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.imshow(cv.cvtColor(im_mean, cv.COLOR_BGR2RGB))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 74,
-   "metadata": {},
-   "outputs": [
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "59902f9a5cde4daf9beff2eeed60e04f",
+       "model_id": "77584ca01ac5496689dc6d2955c3d3ed",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HBox(children=(IntProgress(value=0, max=387367), HTML(value='')))"
+       "HBox(children=(IntProgress(value=0, max=10), HTML(value='')))"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
     }
    ],
    "source": [
-    "# create list of bboxes\n",
-    "dim = (1920, 1080)\n",
-    "bboxes = []\n",
-    "for d in tqdm(detections[str(cam)]):\n",
-    "  bboxes.append(BBox.from_xywh_dim(d['left'], d['top'], d['width'], d['height'], dim))"
+    "for cam in range(1,9):\n",
+    "  frames = []\n",
+    "  # skip frames\n",
+    "  dec = 480\n",
+    "  fps_video_cam = glob(join(fp_dir_vids, f'camera{cam}/*.mp4'))\n",
+    "\n",
+    "  for fp_video_cam in tqdm(fps_video_cam):\n",
+    "    pos = 0\n",
+    "    vid = cv.VideoCapture(fp_video_cam)\n",
+    "    nframes = int(vid.get(cv.CAP_PROP_FRAME_COUNT))\n",
+    "\n",
+    "    # read video frames\n",
+    "    while vid.isOpened():\n",
+    "      pos += dec\n",
+    "      if pos >= nframes:\n",
+    "        break\n",
+    "      vid.set(cv.CAP_PROP_POS_FRAMES, pos)\n",
+    "      read, frame = vid.read()\n",
+    "      if not read:\n",
+    "        break\n",
+    "      frames.append(frame)\n",
+    "  \n",
+    "  vid.release()\n",
+    "  # save average for each camera\n",
+    "  im_mean = np.mean(frames, axis=0).astype(np.uint8)\n",
+    "  fp_out_cam_avg = join(fp_dir_processed, f'duke_mtmc_cam{cam}_average.png')\n",
+    "  cv.imwrite(fp_out_cam_avg, im_mean)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "#size_draw = (1280, 720)\n",
-    "size_draw = (1920,1080)"
+    "plt.imshow(cv.cvtColor(im_mean, cv.COLOR_BGR2RGB))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "37f7ad3c034f4b49ade20a711f76ce26",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(IntProgress(value=0, max=1300168), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "/data_store/datasets/people/duke_mtmc/processed/duke_mtmc_bboxes_cam5_alpha_0.05.png\n"
+      "\n"
      ]
     }
    ],
    "source": [
-    "# draw it\n",
-    "clr = (255,255,255)\n",
-    "im_draw = np.zeros([size_draw[1], size_draw[0], 3]).astype(np.uint8)\n",
-    "im_bg = im_draw.copy()\n",
-    "limit = 100000000\n",
-    "stroke_weight = 1\n",
-    "alpha = 0.05\n",
-    "cam = 5\n",
-    "fp_out_bboxes = f'/data_store/datasets/people/duke_mtmc/processed/duke_mtmc_bboxes_cam{cam}_alpha_{alpha}.png'\n",
-    "print(fp_out_bboxes)\n"
+    "# create list of bboxes\n",
+    "dim = (1920, 1080)\n",
+    "bboxes = []\n",
+    "for d in tqdm(detections[str(cam)]):\n",
+    "  bboxes.append(BBox.from_xywh_dim(d['left'], d['top'], d['width'], d['height'], dim))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "51e8433c791541a48e0b243093582439",
+       "model_id": "fcdf5a38255540c38c544ccf6b459fa1",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "HBox(children=(IntProgress(value=0, max=387367), HTML(value='')))"
+       "HBox(children=(IntProgress(value=0, max=1300168), HTML(value='')))"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
     {
-     "data": {
-      "text/plain": [
-       "<matplotlib.image.AxesImage at 0x7fa5eb1d1f28>"
-      ]
-     },
-     "execution_count": 79,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "im_saliency = np.zeros([dim[1], dim[0]]).astype(np.float32)\n",
+    "for i, bbox in enumerate(tqdm(bboxes)):\n",
+    "  bbox = bbox.to_dim(dim)\n",
+    "  pt1, pt2 = tuple(map(int, bbox.pt_tl)), tuple(map(int, bbox.pt_br))\n",
+    "  im_saliency[pt1[1]:pt2[1], pt1[0]:pt2[0]] += 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "im_saliency_mean = (im_saliency /  (np.max(im_saliency) / 1)).astype(np.float32)\n",
+    "im_saliency_mean = 255 * im_saliency_mean\n",
+    "im_saliency_mean = np.clip(im_saliency_mean, 0, 255).astype(np.uint8)\n",
+    "im_cm = cv.applyColorMap(im_saliency_mean, cv.COLORMAP_JET)\n",
+    "im_cm = cv.blur(im_cm, ksize=(13, 13))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.imshow(cv.cvtColor((im_cm).astype(np.uint8), cv.COLOR_BGR2RGB))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# save files\n",
+    "fp_out_saliency = join(fp_dir_processed, f'duke_mtmc_saliency_cam{cam}.png')\n",
+    "cv.imwrite(fp_out_saliency, im_saliency_mean)\n",
+    "#im_saliency_mean = cv.blur(im_saliency_mean, ksize=(5,5))\n",
+    "#fp_out_saliency_blur = join(fp_dir_processed, f'duke_mtmc_saliency_cam{cam}_blur.png')\n",
+    "cv.imwrite(fp_out_saliency_blur, im_saliency_mean)\n",
+    "# wave"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
     {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
+     "ename": "NameError",
+     "evalue": "name 'im_cm' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-8-2462e63f80c0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# preview overlay (not for production)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0malpha\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0.5\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mim_comp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maddWeighted\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mim_mean\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mim_cm\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0malpha\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcvtColor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mim_comp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mCOLOR_BGR2RGB\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'im_cm' is not defined"
+     ]
     }
    ],
    "source": [
+    "# preview overlay (not for production)\n",
+    "alpha = 0.5\n",
+    "im_comp = cv.addWeighted(im_mean, alpha, im_cm, 1 - alpha, 0)\n",
+    "plt.imshow(cv.cvtColor(im_comp, cv.COLOR_BGR2RGB))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import blend_modes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "blend_modes."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Old Viz"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "for i, bbox in enumerate(tqdm(bboxes)):\n",
     "  if i % 60:\n",
     "    continue\n",
@@ -396,21 +547,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'rois' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-45-ed83ab959530>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0malpha\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0.125\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mroi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtqdm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrois\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m   \u001b[0mfname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbbox\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mroi\u001b[0m  \u001b[0;31m# expand\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m   \u001b[0mbbox\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbbox\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_dim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msize_draw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'rois' is not defined"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# draw it\n",
     "clr = (255, 255, 255)\n",
@@ -446,35 +585,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0b1e14cbaa644802bc8bfc2c42b8e10b",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "HBox(children=(IntProgress(value=0, max=1107), HTML(value='')))"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-24-4d9676b22f03>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mim_comp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mempty_like\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mim_utils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfp_im\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1920\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m255\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mfp_im\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtqdm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfp_ims\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m   \u001b[0mim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mim_utils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfp_im\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1920\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m255\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m   \u001b[0mim_comp\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0mim\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "im_comp = np.empty_like(im_utils.resize(cv.imread(fp_im), width=1920) / 255)\n",
     "for fp_im in tqdm(fp_ims[:100]):\n",
@@ -484,7 +597,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -493,49 +606,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.image.AxesImage at 0x7f4060095c50>"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "plt.imshow(im_mean)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[0.2 0.4]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "a = np.array([.1, .2])\n",
     "b = np.array([.1, .2])\n",
@@ -545,68 +627,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[[0.16078431, 0.17254902, 0.1372549 ],\n",
-       "        [0.15686275, 0.16862745, 0.13333333],\n",
-       "        [0.15294118, 0.16470588, 0.12941176],\n",
-       "        ...,\n",
-       "        [0.49411765, 0.54509804, 0.5372549 ],\n",
-       "        [0.49411765, 0.54509804, 0.5372549 ],\n",
-       "        [0.49411765, 0.54509804, 0.5372549 ]],\n",
-       "\n",
-       "       [[0.15294118, 0.16078431, 0.1372549 ],\n",
-       "        [0.14509804, 0.15294118, 0.12941176],\n",
-       "        [0.14509804, 0.15294118, 0.12941176],\n",
-       "        ...,\n",
-       "        [0.48627451, 0.5372549 , 0.52941176],\n",
-       "        [0.48627451, 0.5372549 , 0.52941176],\n",
-       "        [0.48627451, 0.5372549 , 0.52941176]],\n",
-       "\n",
-       "       [[0.15294118, 0.16078431, 0.1372549 ],\n",
-       "        [0.14901961, 0.15686275, 0.13333333],\n",
-       "        [0.14509804, 0.15294118, 0.12941176],\n",
-       "        ...,\n",
-       "        [0.48235294, 0.53333333, 0.5254902 ],\n",
-       "        [0.49019608, 0.54509804, 0.5372549 ],\n",
-       "        [0.49803922, 0.55294118, 0.54509804]],\n",
-       "\n",
-       "       ...,\n",
-       "\n",
-       "       [[0.26666667, 0.29411765, 0.28235294],\n",
-       "        [0.27058824, 0.29803922, 0.28627451],\n",
-       "        [0.27058824, 0.29411765, 0.29019608],\n",
-       "        ...,\n",
-       "        [0.70980392, 0.74117647, 0.70196078],\n",
-       "        [0.70588235, 0.7372549 , 0.69803922],\n",
-       "        [0.70588235, 0.7372549 , 0.69803922]],\n",
-       "\n",
-       "       [[0.27058824, 0.29411765, 0.29019608],\n",
-       "        [0.27058824, 0.29411765, 0.29019608],\n",
-       "        [0.2745098 , 0.29803922, 0.29411765],\n",
-       "        ...,\n",
-       "        [0.70588235, 0.7372549 , 0.69803922],\n",
-       "        [0.70196078, 0.7372549 , 0.69803922],\n",
-       "        [0.69803922, 0.73333333, 0.69411765]],\n",
-       "\n",
-       "       [[0.27058824, 0.29411765, 0.29019608],\n",
-       "        [0.27058824, 0.29411765, 0.29019608],\n",
-       "        [0.26666667, 0.29019608, 0.28627451],\n",
-       "        ...,\n",
-       "        [0.69803922, 0.73333333, 0.69411765],\n",
-       "        [0.69411765, 0.72941176, 0.69019608],\n",
-       "        [0.68627451, 0.72156863, 0.68235294]]])"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "im = im.astype(np.)"
    ]
diff --git a/megapixels/notebooks/datasets/oxford_town_centre/oxford_town_centre_bboxes-Copy1.ipynb b/megapixels/notebooks/datasets/oxford_town_centre/oxford_town_centre_bboxes-Copy1.ipynb
new file mode 100644
index 00000000..d8eac8f1
--- /dev/null
+++ b/megapixels/notebooks/datasets/oxford_town_centre/oxford_town_centre_bboxes-Copy1.ipynb
@@ -0,0 +1,917 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Oxford Town Centre\n",
+    "\n",
+    "- read in ground truth\n",
+    "- draw example frame"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%reload_ext autoreload\n",
+    "%autoreload 2\n",
+    "\n",
+    "import os\n",
+    "from os.path import join\n",
+    "import math\n",
+    "from glob import glob\n",
+    "from random import randint\n",
+    "\n",
+    "import cv2 as cv\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from PIL import Image, ImageDraw\n",
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "from pathlib import Path\n",
+    "from sklearn import preprocessing\n",
+    "from tqdm import tqdm_notebook as tqdm\n",
+    "\n",
+    "import sys\n",
+    "sys.path.append('/work/megapixels_dev/megapixels/')\n",
+    "from app.settings import app_cfg as cfg\n",
+    "from app.utils import file_utils, im_utils\n",
+    "from app.models.bbox import BBox"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# input\n",
+    "fp_dir_dataset = '/data_store/datasets/people/oxofrd_town_centre/dataset/'\n",
+    "fp_dets = join(fp_dir_dataset, 'TownCentre-groundtruth.top')\n",
+    "fp_vid = join(fp_dir_dataset, 'TownCentreXVID.avi')\n",
+    "\n",
+    "# output\n",
+    "fp_dir_processed = '/data_store/datasets/people/oxofrd_town_centre/processed/'\n",
+    "fp_out_bboxes = join(fp_dir_processed, 'oxford_town_centre_bboxes_01.png')\n",
+    "fp_cam_avg = join(fp_dir_processed, 'oxford_town_centre_avg.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load CSV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cols = ['person_id', 'frame', 'a', 'b', 'bx1', 'by1', 'bx2', 'by2', 'fx1', 'fy1', 'fx2', 'fy2']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_dets = pd.read_csv(fp_dets, names=cols)\n",
+    "detections = df_dets.to_dict('records')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>person_id</th>\n",
+       "      <th>frame</th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>bx1</th>\n",
+       "      <th>by1</th>\n",
+       "      <th>bx2</th>\n",
+       "      <th>by2</th>\n",
+       "      <th>fx1</th>\n",
+       "      <th>fy1</th>\n",
+       "      <th>fx2</th>\n",
+       "      <th>fy2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>270.828</td>\n",
+       "      <td>794.098</td>\n",
+       "      <td>309.037</td>\n",
+       "      <td>834.066</td>\n",
+       "      <td>235.925</td>\n",
+       "      <td>770.142</td>\n",
+       "      <td>371.546</td>\n",
+       "      <td>1101.029</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>308.304</td>\n",
+       "      <td>302.982</td>\n",
+       "      <td>330.837</td>\n",
+       "      <td>326.823</td>\n",
+       "      <td>285.748</td>\n",
+       "      <td>291.418</td>\n",
+       "      <td>370.556</td>\n",
+       "      <td>493.414</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>307.919</td>\n",
+       "      <td>241.003</td>\n",
+       "      <td>328.645</td>\n",
+       "      <td>262.841</td>\n",
+       "      <td>286.849</td>\n",
+       "      <td>230.501</td>\n",
+       "      <td>365.794</td>\n",
+       "      <td>416.410</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>739.951</td>\n",
+       "      <td>231.693</td>\n",
+       "      <td>759.968</td>\n",
+       "      <td>253.491</td>\n",
+       "      <td>719.708</td>\n",
+       "      <td>220.830</td>\n",
+       "      <td>786.893</td>\n",
+       "      <td>408.145</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>814.375</td>\n",
+       "      <td>246.562</td>\n",
+       "      <td>835.021</td>\n",
+       "      <td>268.946</td>\n",
+       "      <td>793.722</td>\n",
+       "      <td>235.410</td>\n",
+       "      <td>861.430</td>\n",
+       "      <td>427.627</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   person_id  frame  a  b      bx1      by1      bx2      by2      fx1  \\\n",
+       "0          0      0  1  1  270.828  794.098  309.037  834.066  235.925   \n",
+       "1          1      0  1  1  308.304  302.982  330.837  326.823  285.748   \n",
+       "2          2      0  1  1  307.919  241.003  328.645  262.841  286.849   \n",
+       "3          3      0  1  1  739.951  231.693  759.968  253.491  719.708   \n",
+       "4          4      0  1  1  814.375  246.562  835.021  268.946  793.722   \n",
+       "\n",
+       "       fy1      fx2       fy2  \n",
+       "0  770.142  371.546  1101.029  \n",
+       "1  291.418  370.556   493.414  \n",
+       "2  230.501  365.794   416.410  \n",
+       "3  220.830  786.893   408.145  \n",
+       "4  235.410  861.430   427.627  "
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_dets.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Create Average of Video"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "frames = []\n",
+    "pos = 0\n",
+    "dec = 120\n",
+    "vid = cv.VideoCapture(fp_vid)\n",
+    "nframes = int(vid.get(cv.CAP_PROP_FRAME_COUNT))\n",
+    "\n",
+    "# read video frames\n",
+    "while vid.isOpened():\n",
+    "  pos += dec\n",
+    "  if pos >= nframes:\n",
+    "    break\n",
+    "  vid.set(cv.CAP_PROP_POS_FRAMES, pos)\n",
+    "  read, frame = vid.read()\n",
+    "  if not read:\n",
+    "    break\n",
+    "  frames.append(frame)\n",
+    "\n",
+    "vid.release()\n",
+    "\n",
+    "# save average\n",
+    "im_mean = np.mean(frames, axis=0).astype(np.uint8)\n",
+    "cv.imwrite(fp_cam_avg, im_mean)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7ff1924f56a0>"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.imshow(im_mean)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# save average for each camera\n",
+    "im_mean = np.mean(frames[:(len(frames)//2)], axis=0).astype(np.uint8)\n",
+    "cv.imwrite(fp_im_avg, im_mean)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7ff191f4f240>"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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GG5HD4wVjWaN0opKCWub0XqWI7zqUgHFV8Ys/9ynO7e2yu7vL7WtX2D53bsB51+2aV199FSUlUWTDo5Sg0gZiJJbIXMrI9tY21loWi2O01pmjWgVMZVEF12+7gBCwXq1QKRF9RCIYNQ1KalzwSClZLpfMNqbUTUPXdRmWFAJTG1K5vkIKRCUyHKMU3rkS/QqkkIUXysFQKjAMpAEKVCXzIaVyLwTjyZRmPOH69etYabhw/gK+a1m4FZuTbbxLQIQUiRGcO4FH8/ZBaVUy4QzB5Ew4DVmxUpmvy5kBmOKQKBF4jH0wFZCIAgGJwcGccHlk2ApB5zqMNgitiEmyXq0zTxYDCajqKt+7HvIsziiEOKzffM8SKM10tl0y5AgpcP3GazQjiyBnGovlcnDWMSY6l/m6HsJ65dVX8a8mHnnHo2xvbWKris3NCW3nWC/fuhkAKaVfBX71zXzWdw4/d3zwiQ/SldSqrhvW7ZqYYNm1+BQZjUYsu47nX3qR2zdu0lQNs8mUxk648Lb72N7eYTQeU5cIX1s7GPuMSRqkkmhTDZOnj1ySiEOkrlVZFOIUtg8nZM5AHgkEObLSJW3PkX4aiLwYAzGmgax6IxPyRrLrdFSTCbVivlMcMoLpeMxHPvwBPvTkE4XgS9y+dZPu8IhpM2JzNiPGyGhW8cyzf4KUYK1GakUEJpMJ3jt0b8QFKCWwWqGUJUWH6zq01jRNw+HxMc1olPHtktb2BHg+XklV1ZAkEoVEodCIBCJqYijGPQnqekRkn9YHojQkGfAhIpBILSBlDF2InJ0YW6Gkom07GlkNjievvPKafNy3b91md+cczifm+4ccHx3z+rWrTOsZr792k007wgMuRJrZjKaZ0S3nvPLqLSaTGiWh0pJZLVEIRKdwQXEcHJ1R3H/+PI28y/vevcN7H1JcvrHP/sIhzU0avWBsBaMLFxg1hq2NMZOJpXWOkan5nd/6bSqrUUKgBGxtzFBC8tDbHuLo8ABrDDfv3KEyBlPVHB7dIzg/GFgpJEiBCz5zSSmxXq8AgSJhEPjWkUrEm2IEASF4qsoyn8+JxTB67zMmbg2qRMRCSgiBEDNUUldVITMpgY2gczmqNVqXTMID5Kg6JXwIKKmo6xFtG7h154DFlTslU3EcrdZsb4zZ2dkgdCusNqQ+iBA9iZv/H6LL56YU3md4pg9adHktpMy8ntJIKZAyr+WUIjGEIYDr4R2p5MAHJBj4jqqcq+idVwlwYoxEH4gh0rVtEUIIjo6OM9SlVIZ6YyK57FCUzNlRTGCrBjveJCaJEoKUAvu3bzCdjTm3t8PR0SHPPfPVfD+MprI1IUY650FKoo+slgv8ck2XIl975jmE0dja8n3f97EcnGnzZswr8GfgAP51hg8epCfgiCJxvJhz7fYNfIjcvnePF198kePjOU1VsznbYGIb7nvXE0wmUzY2NhmPJ5hC2mpjELqQtFqfpMMlZZZKZYxQSoQsUbMQQMyTp0QXvbGTQr6BsT3N6seYqKwZfu+Nfn4d86Lrt3dKS9FD6j0xfMIr5GvhvaeHXFKKA0wkgMoatFQEH4q6xxPimmTWzLs5G1qgjMHhkUZgjKbtOmIKSGXRJk8FVUi0GALeday9Y3M2YzQZM5/naMa5ls51aKMHuEaUuIfiBJIQOWOKEQWkFAjRM2iZhCSGRNc56romCsGXn/saL7zwAkom/rNP/Ccl8hQoKfGQ+ZOU0NoglaJ1blBxiMw4ZucoJBGJkIb3vvcJvn7pdQ7mK5TNmOuFt72D5559kShzxhCdRwiQyReIIDvwFCU+OiZWo6Lk+Pac9saK6KDzHXt757hx8w7t8jJvf/Q+dvU+Dzy6ze3bN1i1d3jluZ9md6dB6odAaxY+MBrvIGJisxnTrTqMEfiu46EHH+L8hfPcunWLqhkhlksOlgsmm5s0o1FRuCm6dUtTNRhr8D4QydlY6xykhJIlE0oJ17ZEJfDOERZztNYs12sSUDc13jvats0G3FpSTLRtl0nWCIgMP+ZMUBTnCs51+BCRUQE58l63LdYarLV5DfiQob0QaZ3naNly8+ZdlK7QymCVZGQlVgtSuyJajdYSUixzKC+ZmGJ28EVllFVNqQRARZ0lJaooAEOM2Koixfw5qURRuklC5wqfkgOx0zyBsZb1ap1hXiUHRRaIcv45+FJKE0NCKY0PflACee8yUR8CUiiK5eBwMedjH/terl+5np1LTIQk8vZciz86onYdLz7/HL/03DPUdc0T3/4BDtZLdADpIomA7wJ0kbTymDZRd4JaWqypUFIjpcFKhQiRzc3Zm7axb2kHkEg45zg4PODGrTscHR5xfDxHCZ3lc/WI+x46x2xjg8l4ynQ6ox6NkFpj64q6rtGmREtFvilElulpbXJURGHxS+QvpSoyuQLdpEBCkpzLE7M32qKXPJ4SNqUTZUOOLIoELISiXAER5UD4ikL69giPPOUwYghEKVGqN/j/MiSU0gmEpKRi1a0KNOSRMmGtZGQmHNy9g1DZsfkQsHWND6FkIVBX+Vw2NzdZLtdZwSAE4/EoX4IYWCzmxSFlA7mxsYFz7oToLsSfFLKQgIKR0UwqS4qBmCLa58hOhoQWkbbIKKuqIoTAZDJlPJkQug6pLCKF4ljl4PzWbUdMiRTy4pRDxF9ixUKwxQQIxY1bt7l67TpJCHySBKH5hV/6DG9/2zuycoTsoERKaAlVbWmXxycEu/eI0ZgYEtPJFiOhuXF4xHg8Zv/uXSIJlMCtPdN6jLGe++/bRKotvJpxa1Fz6yAwaXZRUaKrMWG9ZrVaooxmYzbhkbc/zMHBIUprRuMxV69fL9FsgVdI2djHiI8RFwPJUcQDYoAjTVUhnc6ZKonYjOnajOFn5wipyF6rqkYWDkdKSSjqFiEk3oXyOhvYEDyOhLAGVfgCKbJjHgQQKaJEjqytsYVHAqEsr79+mdYnlK5RArSIzBqLkhGtIIQs744hz4eUskMfxAQpc1+DYEJSyN9Q1Do5Q4y9FFwqEjlyd53DVtm5WWPoui5j9koTi9xXKE0MsaigFCFk2+NDGGSkSWToiZgQIjumHtZt23XmD4InJdCq2Ahj+fj3fz+j6YR3nt/NiIBU6GJjooBIXsMq5KBPS8mzzzwNMbGxMWPcNNRVzXd+53cRfcS1juViyXKx5OjomJu3bhJTZLK9wYE/YD1fcLS//6Zt7FvaAXgXeOWVKwiuYW2DNRUPXdxlc2OLyWTKaDyiGY2pmhqhNFVdZ3VOkWHayiKVKrZJZIJRnuDUJ8RtcQBFQfIGB4A4lT6Kwdz3JufE/ouCVRe/UYiqVKSPwCkSKss3T0H7w2TvtcK9BjmlhGs7YvAgwMWAUhKjNMtlS/KpLOCuaNMTHQkhIt47rBa07TpHRsYQ2kQzGg8GUqSc4SgpaNfrDIeJXCOglCKGQGXMKbK6KHWEQGs9OKGB9BaCP/z8F/jIhz9MXVme/Pb3ZSIdhuuvlGJzc4t161is19haE4iEQkyHKEAalDA4v8xOWspBASWkRsnsxKXMUIhIvd47kVImpQOC7XPncc+9hBBZeigESKE4Pj5GSU9lBefP7bG/P6d1nuPjJSkFimlFSkMSkkUIHK+WjKuazlZcubfPI+95jFv7t5iIMfNnVxy9dsjmdAs7rfBbjun7Z0QUa6+pfJbB7t/bz3JSo3ns8cfwXcaSdVXx4quXEYXrEIScYWlNTNkIt+tMNi+WC6TSWJu142m1IsRETBlnXq3XGSePEbRmuZhjjKVt2wxD1E2OlguUI4UohG/OqGwtS+1NpOs6RqMm1xGkiBB5PgsE1maSVEqRyWqZkFHQrjvQlqs391ks18RokEREDMwmNVZB8GtikgTyWnPFwZdEDlWMer7nGVYSShGdQ4s873pRhlTZoCrUgPHHWGpXtMa7kNdrTikQSqBEzhqkUoQitFBK0bkO1zkSqejvJSlmN7BaLjHGsFqtcjbWtZkDKFl4jJAkuBjpYuAj3/1dzHZ2qaXBrTrWqyUdkKRmtVqxWCxYzOccHx+xnM8RUnL1+jVUZdjY2eTGzZtUtsJUFlNZbG3JGYmm3mrY2Zty8fFHkErwX/3dn+BH//pf42D/gOXBW5QE/tcfgvsuPsTm5jbj0ZjxZELdjDDGYguWr40ZJJlKqwEbFVLkhVRIzd7gn1brnOxGDMRuxlVlweZ7654GaU6vchGn/3yyGXoZTyomBDKZmujVAYUjCCc6oeGfEt3H3jMI6FxHFzxegyfx1J88xa/93C/w3ne/h7/1H/0t1qIUa6W8a+jPOyAk1HWBB0ReaElAVdfFz/QKpzLBVytsBUbnQiNjatoQBsOfiJwuT9NS0nUejD5xYELwoQ99iLppMrwkIcs/5eAA8qIVVJXGJ41Svb4746tKZoPUjMZ0By0hpqx0EZKExNqaGAPa2IGs631nprYBKVHG8qWvfAGkJkRYLBZsbs1oRiOmG1P2j9fc/+h93L5zi3XwVGoykJlSKbS1+K7DhYi2FfvHCxa25kYITDu48+wllHR893v2mF/f575HPsj27nm0WHL52pcZeWjXLU21hQRiiKXA0NC6DlNbKmN4+utfZzKeYGxF27bYUrjmgsNay3rd4n1gPJniOpdx5zK3jTWEGKjqeoBC2nVbtPGRqrIondUwSIlE5Mi/rANfFCtKqUyyiiIyEBkPr5tRzqJl1u9LAcdHR2ij87H2yriqygV90nDcrrh59TZKWYiR5B2KwNZsgsCTQszZg+xlw0PcAzA49h4K7TMcISJS2LIGdQ6ihlAsk/79mheEE74teGpbZWhTFN6skLSkUodTsmzBCfzUG9t+biolMxdoFOt1PncEeOdIMRcrRp8DlC8/9SW+8NRT6EnDbGuL6cYmexcusL2zw7ndc5w/d47z73qQqqkxSuHna373dz7LRz/0bYxnE6TOWVmtDZNmRKH1MEpnni4KQpfrMf6bn/y7zA+OGE3GIEURfby58ZZ2AOPRmA984IMZw7cGW1c54lMabTTGZgIwR+9igHJywQgo3Uf0YtCYD5D7QNyWf0pUK2TWrIvBwosyOYtqQJpvoGgZ8P1+gye4fpmYg4yxVwhJhEhDZtJ/PEMXiYz6RdoYWYWO3/iNX+cPf///YWsy5dpLr/Lv/ZUf5F3vfjfR51Q8whurR1XPO+SI0DtXDHCGwJQ2tO2aqqpI8eQcV6sVxtY9Sn+idz5tXQXDtVFKsfKrQqydZAYU+CTLYftFdRo+oxgLWb6b0/f50RECcK4lhA4pp0hl0LZiY3MDYyqOjhZDttEbvxMVUimsg8GJXrz4AHfuvEBdj7ID2Jxx6+ZNUoLNjQax6NhKFYc+IqqcqYUUkQG8DzmTiCATrNqO47CkjZr27oLt3R2iW/HOCxe4fukqS+2w8yXH159n+6EJt2/v065qTKUHxdb8eI6PnhACN69eo6ltIfJBGYPRhq7t8kyKka7zhW/KETokRuNxiXB74yc5OjrGVhajNav1iqZpCCHkgqxeylhktSlGZIFGYwwIThRpzrlTgVOemlnEkIoIwRNSolsuc22MsSQESmtWbeDSiy+j7AjQhK5Fxo6tzTGakI0/iRAoWWHmiUIp7Oqz4n4NDpLplDF3SjVsShBSOoFupSz1DWKA7XoIL2d9Euc8fS1AzsAjzidi8llJmBLGGkjgQ0TrXCgXi/4fTni5tm2z4Q9+eC/LtMHWVS5IvD3nL3/bhxgRWa3WhPUR3fW7rLuOS87xla5j0ba0wTH3jkPniVKy6tqBRwmQM7iuw6eIsppmNGJjtsHO9g5bW1tIDwfrBbPdLTa3NunadihQezPjLe0AlNFsbG+jjUXqHBX1TL1UWREipMBoM0TjvTonxlAUACfecIhSi4kTAFJkwuu0fPMbyN0Y4zDxTsrivyH8LyORFT59pI/MuP/wnjhpb5A/H9FS5xRYCeZuDZXiK889zad//pOExZJJVTMzFbvjGfe05eLF+9ja3s6k6GlFUoloksyFU877IVNRSmUJGpkvaGNCSoWPAh/AmnrAmekj6RJB9e6sx2ZPRpa5SSFODIaUhfRNpV3GKdUUJUsRgrZriSkSYqKKNUoojg722ZjUjLYm7N+6xcbGLsoYYpuj/75LU7EMAAAgAElEQVR6tN+OtTYfXzEEBIhkeC0OUaxAK4EuMIXVFaN6hIhQa4uIknbRsT3d4vayRWhLPbEQEx1ZRbKMAtlFom4QQiOSZGNzi3v39jHhHtuTitsp8a7HHkWguP3yl9jeepivXHuOo3ieiY1E13H3zl1c1zGdTQDBqKlpqgpIuOCpRiNc19F2LX1hmPOZ/Dda47xDK40vWLlAoFKi6zq8d0yn4yylLUbOWjPAeKEoW7q2JcWId452vS4qFYkv1bAxRqIUOWsgZwiVyjLT1Sob/RjS0JpgvV6Dqrh68xbH8yXajorGPlJbidENRDeQsSnl/zufUELgQ4aqUk/ycmqNkQOKXEmd389yUjXAM8PcKhm7VD0cyMAPlIVWyGQ5zOW+AjiSCCmioh7WcIj+JPIv6iZxqhI4n0vJ7gsMFFMi+UAKYIJg9dJdVquW7/zYdzG7uMfTzzxNtWFZdQsujDd4+g+fYmIty0pydxr58nPP8Ocfex/bSqMrSxs8UQha78EqWpkz03XnWF075PaLr7O2humkwo52mE0mzO/ey/fyTY63tAPQWjPb2urREYwxWV52SrmTyH16BntcouqT8uzThvrEeIuUGCB8eRJB5j+XaDKlE1WIlPnm9iqF1G/xJDLuZ1YIkajDN8BIZbu9YwEQCZ8iXkbutkd8/gtf4Fc/8xlqJI21jLuA1g1a5LL2zemU0WSMaWpG0wnFluY0eDDCqSiYFEbrIWLPxWj5c8ZYQhIIqQk4RAQhTlRQPRHXR9qJk4j6Dc4rMZCzgxS0pPT9wZ3uk9TfpFiuay6Pl/jgCT7/XL1+BSsE73vftwNgbU3dOGKMrFYLnHfEFGjbFqUl3rflWEoRkii3QwqUlrj1Ci3At2va1QqNpFGKTWmYJEOaO4SqubtccbxsOVyuWLYtJEFTN2Q9esoVs86D8PgQuHPnFkIlZo2mqhr0aEyzs02zfQ7/x7+F3hhz+amruNkYJ+4ybbaZTidsbW5kowy5jQY5stbO0TmH93nexBSobUVMmSR3XVcECoJQJMRW6exIY1Z+HR8dF6WVwLmOFBOmOEmtFUIkrCmZaLlW+V4lRqNmCILWq1XG21NCqSINlYo1sFws2diYgRC4ELl3POfOvTsoZRGyQsZAJaG2Ci2ygEAaVWaRYt12yAJT9MViUuUKYalk4c4EDOsuByy5IDJnCplSE0NBm6AIAYrBNkXCnTX4OasBkFIjlWb/7j4uBrz3WGtpmprOORArrNGUFYW1BkisnUMkiMmX7frh2F2XW1AorUgh0q49D973AEdS8i9uP09lLb/8K/+YGAuPISQqCM5VEy5MN1HB8R3f+b188bd/A2enLBbQLpY8+V1PsHn/BY6OjjBC8sCFi+yMxvz+P/0Mqxt3WUbHf/7j/wU/8Y//HkslGW9vYiqLdz6T1W9yvKUdgJS5b0wu8VcDfp/6dK1Mq6HvDAz2to8kBsw/peG9XKGoTvwBhaAUYsAU+61klUWWdQXpT9o2nLL6MaXBIeQCppgjCJdKk6deZ5wloFGAl3Dl1jV+7ud/jldfeoWd2SY7m5u85/6HuHPjFjJkAkspSVVV2GbEaDphPJuShKBuGkJwxN74nwKe+rOq6hpjLFVV5etTAHIpJcdHR4xGo+F6Sq2pm+YEQ+fE4JNOSO3Csw48R1fUUcN1K4Ri3yitB8J68jgNhidLaZMQxOBzI7blMjvzlLi3v4/rWnwMuUjKO9brVVYkzecslwu6tkVZPzRKy9K/rFsPMfcrevnSC4zqGbZqSKFFEXjvOx7h6PW7yGNPEIlQS7zSSJOQsiP4iFEWQYbLvPc4n41JPzNyL6dEcB3zRct9D7yNu7cOCNdu8+h73o1oKu4eHWPtisq0dGLNaDRCCJiMGjrvM9dRjJi1lgQ4F0gx0rZreibJ6GyIVBET5MrTXJfgnCOlxKhp0CpXWjuXseFEIno/KFYkclhLubmZQIqTSD7GyGjUMJmMh2hckKHArlujpKKqK5KQOBd59oWXkMpgbZ0zLZForKQxAlKGuWJKkDKkIlLAlgCOlEp/qN7v5GxLvGGOnRRM9nLLHqvvv9tDj/36ruo6K4gSSJOdWF/YpqTGda7o77PMN3aRuV+xWK8Yj2tm03Fu31Cq3tv1Gq0zTCXIEm+t1NAuI6aITCe9uh56+J2MqzHUDTfmd9ncrKi3Nmg0J8FfhBdu3iSc3+FwvuSPf++fI1XillnwzOUv8MDF8/z+F38Z/SWFTLmCWMms2DI+13fEFPjUf/vjPPDog7RacH5vlxRTloD/m5IBCCFyc6VeWpPfpC8O6ZUoAG9YnRSMsWQKqe9GmG/hQP70mUWPpL4R2y9dBvvK2PJ7j61nZxKGviQ9GTlo/kvRVpCSiCBJSApu37vHP/w/foqnn/oSu5MZRkou1CNqoaltzX3338ed27dLcVBO46umph7V2Kammo6JEnRlcfMWZWzefh+xi1JdSI5gpdQ0zQgpVW4/EBzOw3K9wnmXFx2519Dm1hbz+QKkLEqafP4hCSazTY6P7g2GX5Aj+YxL94U7ZYIXhyCV5uDokK2trQL95HugtB4cApQah+Do1ms0Amsqjg4PadsFISac69AyEn2HFImuXbBezrFaYGzF2q0Gpyxkruj0Pkfue3t7qAjTrRnr0BFk4saVayQn+XN//km++MdfIiGJXZex9mI8eh5JKz20WLC2Kjh4R201nVvgVktWh/ssb95i9fox6/mCrr7Hk498iC4KxlIwMZLxuMmksndlTgZEijgXaDtXGo0FjFIkcpSfHW8glcKlFEMmcEXmi0Tf1iHGQogXg6R6KXN2+oncZiIXUPlc0StzxBpCzFxKiFiT5aOqlwy7LkshC3Ga5ZCK167c4MbNO/iQCO6Yxkh2tjfY3NrIap9TnFhehxm+CzEHQHqou9HZ4UtR4MocJCVy5b1WZih8zFl/UfgUuCUXcKohKNM6Z72+dUPGGmPuE5RSYtkt0EpTVQarA6LRgzBiOsmKwb6NgyAVslqdynj77Dc7I4kglXNxETZ2zoOsaF1AKI2UGms1dWOxWlGaCuC9w5G4fXjMvf0Dvvu7v5sv/tHnCQhUbbCThsYaZEzEEFFJUSvDfP+Qhy7cz1gYlodzrhzewaXIsuswjaXtXGaE/hR4+l813tIOABgafOWRTt4r/6XC4Pfa816/3MMh/U3LDiPHQW/Y/r+0xz4Gzn+RpYlZhhhO9tcVg6FUDz+dwCYRcApCCjSy45Xnn+FX/9mnWB4dcny0Yt1FLlRjYpuJn3pcs7u7y/bFC+wf3MvkmhDoEv3XdYWtK7TRjCcTUoG3enhHvOEshryephkT/JrxeMJ6nfv89DLJ9bol+ECSIHU2Ovfdfx/PP38p+y8SMQliEvgYqZqGw6N7lObPA6zjgstpeiHfXfDURuNT4usvX8J7z9beDgDXbt7gvgsX6fvPCFm03TErf7quo6lrRAp0qzld27JYrajrCogFy3asl6usvdY9Fiwg5muhpcL5gA8BFzyzZoJadExbOLx8Hfl+j06CLkU+/4Uv4KLHaEUKgUSG2vqMJyuCPKPRiLbUPEiVmweqfl9uweghz+6FCne4Zv/aPdbtkrnqePvbP0DS50HWONcVotHinMtZTYgDpqxN7qQpK01d17n+oGRSOWrOpLD3oVSmpiHyFUISU1ZQWZtbOSxXqwKp5Oi7qauiDBK5mKlkdF3XcnBwD2MMs+mUo+UiR9Y6QyGT6YyQJEIb7u7f4c69I6yt2draQ6SAkTCqBJVVELu8ekTmhvoahT5i6usMhJQDGRsKOZ3jpqzi8SET0r40exvEEioN72tjMw/BSSBorMlQYlGupbIctM5GXBYo1HUdMUWMUsQUEErlRVvWftd1uc15CQJiwfj7fly+tI7wwWeZLpLtvfM0kxmuyw54sjFD7itsZaibisqY7PhS7iIqtebj/85f4JOf/DRd52hdJterqqIZj5jWVc4snMvKI215/dZN3v0dH6TRlrGX/P7n/4jXjg9gu8nwoeuQCPwbRCn/3+Ot7QB6kJs+IiueOGbtcW/3+oCenrQsDiO3T1bDpjJW3aeSPTTBCdZfDH9KJz3Gh30gSCJL+ZSQpdw6RyWhwDpBJJKEo6M5v/nrv80///SneP/FPf7it7+bD+wY7jRjXoiB45vH+KBBloKdGGlGNQ/efz/PfvXLWC0xRQ9eFeNvqwopJZPxJBdB9bP7FHcxuK3Si8famtV6yXS2QYqlL4mQRQYHQsqseJA5ynrogYf4+tdfxgdZVBeWzq9ykUtKWd1D7vWC1AWrBqUtymhiDBhbcevuXYRV1JMJV69d5WA+59rrr/NtT3wg9+KnhxYkkZwpGZ0Xb20Vxi+I7SFdt+bTn/oUP/IjP8zO1oQQQlap6FwBKaXAkTBSE1C5oCfmegUfcrl+8B4jJRuTGW7VoiJoqVj6lp29Pa7fvsXKeQL5nEfjDH+4trT6jYmIpymGW4hcGaoUaGF5/H3fw9/7R59je7vh/LkNLty/w/ntd3CYxuzfE0y3GupSZZufaZAQFElh9JgSQGgpCVrmlsTBo1TufCqkpHMuV/gihkaDYpijed5qlfv8pFLXkVsuZ6289z43LZN5TsWYSCpDgU09Ymt7G1Jus+K6Fud9bneuDau25WDRcu/gkJgk1o7QSpCcY3M6ypr+sIaU+wBJ0cMuKQssSgDWSzRjj/GLU2uvOIehEj8EQsjOMgFK9J1Aw1Cpf9IxltIHKUu4XfT5nDuHlGJQ6ghyPYEqrV9KCI8Uef1KlR2y0gprTS7EjIFQvu9Dz3VRbAR4n+G42cYW87ZF1h4ZI56YW8jo3M3TNhUjW6GFzO28i4Dl7t0D3vvkt6ObChdzEVlV1YPC0SAJpemkqCxHdEwfuZ9x1bCxhqPfW+RmkItEYy3tcpUDjfhviAMQiPywF3oH0N+A/NeUIBWcUJZULZ0KhvsHtsThzZNsgJ5rKhF0X+jVf64fGfvO0VKfpksJSQqiEkQFqxS58vrr/NzP/izXLr3AfXvnGI+nfNs73sPzT/0B4+/5MK6a8D//9/8rC1+jzYRxM8ZIQWMUjz78IJdfepFXX7pEbS26tOy11mJtVWod8kSYjEYE5wjeFxilvxzi5LBzX4T80JEIxtSE0g44Y/aZEMsX6yStPbe7x/x4iTQSQWRrs+H46Da+DYyahpAEq9WSw6ObaG3zg1ZGE67fvMVsNiUEz3Rzgqkrrly/Ruc7jDFcunQJ06fSqcBkgiLRy0SxrWvadcdHP/oR/NFtVD3Bd2vmB3exEnyX+9HH4LFVnXmDlEi+zb2dhog9EqIkhozzrleOVFU88P738rk/+L9xPrHuPG2Eoy7QKsu6CyA16+UK37VYKdnZGNHUdS74cX5Q1uiSym/MRqxXS7RWvPOdH6UuXM/VV1Zcfn7O3rmGBx94HKlMIVMFKfncUiEpTF0RvctdNVPABQjRs1o5hICqqYnJQyjroKowRhesmewkrMUagw+ZT6BkRCHGQTJqjC4cUL7eMYQBDo0pdwpF5HoF593g6BfrjlW34uq1m2iToRgJNEYzayqSCSS/YO1yxt0XlKWMnxUYSuUiLpGJXETurRVTKk5Nle9qhCqZvNJYqYdW365kSAkGtVJV5VqARKKpmyL7LBm7kgMRGgv2363X6J4/JKG1pHMdKWZ8PUk5FDVKIXIbcWOQZAhOFQWWrQzNaJzrUILg8OgYlxK3794jAD5FZrZG2QpTKYIIKGOoRnUWciCplMFu7TF5/RYvX3qFo9ZxM97MhXxCoK3JFcJSILRGpyzOsHWNTJn7q6VhMqu5efMmrjZ4pTFK40u9SCzFmW9mvKUdwMArnopye6w99nhchMBJS4TsGE4eHtEV1YEo3QuBIR3sCz9ST+SWSlGIxFhUNZn+HwhlT8oFOnXDncN7/Pbnfo9/8qlPMm3GvOftj7C7vctLl17mox/9KG2MxMkWv/bHz/Gbv/s7rJhg6ylSaNouZCWCAiEyDqpLJKOVzHimMSijiyY5S9qqqmK5XGYyS+U2yD0ZXhKagTRTShNTwTFjr0pKpTe8HfDTDJ0lJpMJxmhQEqJive7QyuLWHa+/coXtvU2OjxfM50uEWGOtZTabsbW1xeXLrxJi4J2TR7FNzfkL57ly5XVSTFRNhSBx/fp1zu+eyxhuOQbvA63LUVvXusIbzNkbb7GYL/ixH/sxrLF0rsu4cWnsVdU167al8xHXCVzp/6OUYolh49wur75ymcnF+5kv5uz7wHEUHPiE2dlDL9bc2D/AlfYK6/UaIbLeP7c2SCxXC3b39nIrgZTQRqOlwFqNNoqpneYiI2OzYxCSyXiUF6P3jBpLSDkbyZloGpx7bg+SCxeTlJm4DoHRaEQMLjsz70s7ggyP5GMUIBRt11HZKhuylL/rvBsgyf4hLX332Fytm8lBbUxpu8DQaty7jsx7KVarlv2jJcvWY22D1uUJYsExbSpCt0JLEEoSY35yWt+pMwciRepc9h1DQJWnlcFJG2fZS7QFaJm78J5o98XwVLDeBkilkAUFkEXNVjTckGA+n2deoXAOseDtvZxz6FMU833oCpE7SJRhePKcLudkrGG1ys9LsNZmubZwBA+t87nFSOtyweZiiT13jtX8GIpTvHdwjxs3rvAjP/CDzG/fQ4bE5z77OexsytH+TVwXMVqjYlYPNqMRy9WK6DyjuqaqKmRl0XXFgw+/jSQEVdMwMWPuHRwwPrdDU9c5EHB+OL83O97aDgAKHEMhMcOgqFHlASs+ZHIskHKUcep7PWQUYm510N/l3hHkJ3P1jC4M0XAqqhaZ6wkikZAinYy8cOsq/8P/9D9y48pVvufD34FB8sSFh7l67RoNlo2LD/Pc05fY3txhvLfHT//CL3LlcElgmxQgCkHKJR7EmHtiK2lQMiIlxfjrkwfPaI0yuWsnIredvX3nNsvVkulkgku9CzhJANKpKDuEDK+sfUujxoBDyJxqKqVzY61i9KaTSX78oSpgWArURrNer3PDsZVnPJqxWLSkEHjwvgdQSvPktz/J8dERd+7e5vLly8y2Nrl55xZKSpqmZrFacuHcuYG/iDGSpMqyPJkfj1g3I9xizXgyY3d3j8lkMkSTMZZe8CEAovSs93TOIWXD3/mvfxLR1ECFMRYZYiG+NSJGhJb82uf+AIHgv/tf/j5NUUW5zuUeMP3DZ4qTt8awt7dzoliR+YEgdW1JIVBVmspm0jUEiUCijS1G3SK1QaucIRnRP8Etz93xZFwcnyt9fgShzdXGfaOxEHLGEAqRba0tHS0TzoWs/gqxVAj3nStB61wI5kNgtToejJ6U4F1pPih76W6eI20b0Eoilcb5yOHxnP3DOUkYjLE5tHAtWkvGTYWMXclk0vDMgL5BX+/g1m1HCKm0S86z0pVHrYbSAVeXFtxDe+aSIarSxlmp/MAhY3KPoN6ZVeWpXX0L6lRUVM65AQYSKQsLpJSld1B2CFqrIi+CznlcyU5i8CQl0aXD6WQyyVJPKPcg7//o8JgoJVKtmW3ssLV3HoFgO+aCsvGo4fJLlzg6OsJ1a7RUbMw2CNOGetrwH/zQXyUu1nzmk7/IeXuRj/y5DxAObnLz5gFL1xK8p6kbXnzxa/yFj3+cB3bPI3zEdZ7P/OZv4MaWn/m/foZ33P8Qj0x3mC/njNM2k8mYxtb0hYH9Ob6Z8dZ2AD0ZJ3JvG1Ew+Izo5OhcSUk2C0WyCMMF8D4/z1cU9UDfJvmE2IEwfCU/mCFRsguZEDJxuDjis7/3u/z9f/BT3Lhxm72tXUySPLJ9kU1ZEURgujHj+IVLuC7wxBOP8y9+5deYnH+Ajd1tWh9pV57SsSHjjOUpRT3roKSiMpnYNdZietjHnmQAupCstqr42rPPsVgVPbaPA6yV0qlrUDKhddtRNyPWbctW0Z8LqdClgtPailiiK60VPjpqkR3eZFxzfm+b69eu8ZEPf4Rf+Ge/wAMPPcBHv+s9pFLNupzPGTUNj77jEW7fvsnFvfPYUc3l115jPB1nzkEI7hzcow2e8zt77G5u5V71sWRVISuQFvcOqMYbmPsfZtm26JCJzf5Reaq0fV6tVsOjJVfzJaLLyhOtQXr//3L3psG2pWd93++d1lp7POOdh+7b3epujd1qzcgggTACYYQNAuKKXXESFxUIVYnjD8EkH6giOKSKOKGcEZfLgGNsBKaQEIOEkUACqTU1Uuv2eHvu2/fc4Yx7XNP7vvnwvGuf22UgSqiiFHbXvd197jnn7rP3Wu/zPP/nP0j3pxrQQboiLZ760nkHYhNX6vFuErTWQpTwlaKX0evlyZLC4PIM71usE1fIfr+QJWyMaCXeSa2XBWcxGKC0oaobgpLlePQ+MXUcs/kCWzcMRgN8hKqqiQmua1JHKbGckV6vv/LRVypFaurkNps7MpclGwN5XSJQt566qTEuo0jmZjF2V5pcJM1qakjurq1msag5mMxQJgclS3fail5u6fecHJLtEo/83R37CNXRp+V+reoagZcCOnVbwUesk6mnaWoCoumJXtLCslRMQfZSoWkF8ozHE3/nqaW0HNTmtoKhjaauKsn8Virh9jKp+yT2WinugbKuVvYPUgCE5ZQ52Tl0Hv9JnbaymgZFf7BObzAiYCRa2moinn5eMJ8e0ssdO9MjluUC4zLQmqIY4PoOZaVQNE3JB7/v/Vw4v05vcRe6HvKP/of/kRgixjne8OY384a3v5nX3HmBs8NNHn34y+RE3v26u/jAd34TajbFH8GF0Rhd5KyNxpw+eRIW1fHC/Ot8fGMXgGPMhs5wqRt3tY50NrGvctEMHc1TFsI63eirBc6rFgDpa5JFcwzCvGij5+E//iN+7Vd+hczD+mjMuy7dx5cnNb1o0UGho4y+BOmg6rKSmLzBgAv3XOKn/vufZjqfc2J7m9ik0z8eTyYybkZiUkjKYlG/6pd45yQbBSU3lbGWW3t7lHUlsELigce0E+noqxFhVywWC9bW1iirKtloSCHJs1zgovRclFYEBZPpDOV69PMep8+c4tlnnuVbv+3b+JM/+RO+/0Mf4smnnuTWzVv0igwQE61ev8eF8+f5vJJM1P3DA/Jej9lsxmK55J5Ll9jd32Nra4vat/iY0pEoV6N+v98nRiirCtW0Ahe0DZ0He0xMmcYLFbIoJBYy+Fb47WmK6wLQ4/HqBmcsQTVYFO1t14lOy0SZLILQblNnaYy8HyFJ/Dt31yyXyUwRVwEpEcGxe0WBy4SWq9M+wllZoLtegXMOn3zsZWIIaOOp60bES917ro7V4sF72tZT9Aqhj6ZcDGMtAYH5Yghoa49hmEg6tCJNkCaIGFYLzc7LX0qCZefGHlUTcS4XlW9scTqyMR6gQkPwzTG5Ikr3LAE9x0rb4MWZ0zl5nbQxUtCCFFeTOnhj5WDvMq31bcUrxLgSZyXahUAbKHw8DmrxKWNAdRGrMa5iN60xVKHCdzqUdCDKn3f5GR0MLDsF+TmEQttlBzjnMIVNqmVP3bQsq5reYIzJcmIbMUp0INYqbuxcRUfRrMznc6qmIhJ59vnneMc3vY33f+v7GQzW2b1xhWBaNs5YKnuV8UnLUA+ptMenJfapk6dZO7HFU889w/m3vJsbt25iM829r7+bOk7J84rtcyco45yRs2xsbDAcDFhWDe3t5+bX8fjGLgBAly4FrG7GY7pnWJ3nxgrNKujOOlju/lWACx2XX5a5PggFstHQhMje4QEf/fVf5+k/eZSTwzVGoyFniyGtD1w4e5bd6RHvePvbObixS5bnzKYzstzhAtRtg29r6VJjpPCKh+54DVevXWPetLTohNULLrnyIE0F6ehowvb6SZSRG9dYGdVX/kVAjClURsF0NhUvnYQrw224X/p8rQzGGeaLJdY6Fssy2TaIKdhgOKTxnWWFEWaIipRVhStLNJa9wwOK0YArLzzDrJozX045eXKLl156CatFbdovHF/47GeYTqfUywXjjTVe3r3Ohbvv4KknH+Pc+bPsHt1itDbmmeeu4IP4pfSKHptazNzapmTUH2C0pq4aCmeITUNVN/T6I3r9PvPJJIVviDtmVdf4pmU+nQtDx8tBE4EiddAxRFQQEz6XPGO01lTJK8YYi0a6amsdoV5y4dxpTmxt4oN8jjOyRPWhTUUofR+F2CskPyqhc3rKqpaD0DpCqFfq1aYTzMVILxf+epblAjWmg6izGDC5uHzK8j9LHHlpYnwyR+uCRnSabsqqYtDvv4q6COASo6VtRDCXu4yqbolodg/mzOcVKIs1GkMAXzIe9sSn35fJGz9RIFdcumOIpSs0ncVC08o83inAjTISWxlC2t8cT37dYW6TSItu/wLHrJ5G/INWJI+ueVJd0TFdr4dSUFalKKWjp7OJiDHSBmFBVU0jjZuPNKuvj5RlTZaFFWzmnJUlsW8o20DVBvrrm3g0sQlCxGhKYqg5mB4kGM1glKFcLKlDS5Fn7B023Hvv69GuR8TyzItXcRsn+YVf+iST6SHjwZi2/mPqoi9Gf63n8tce5T/70R+mf+9rGWUjDq7fpFcUjE5Z2p5nvDYitn3s5pDeeEjR71H0ekzb3UQM+SsyAchZf9y9d9i2EF4iwcdVQhFKyTieRsROuCWHqFw0AeEo13haFXnyiSf4jV/9NZazOVvrG+RKcXHrFIWVvNMYI8v5nOFgyJlLF/mX//KX6ZmM0fqY/YN9Pvnvfp/77r2b9e1NLJHN8RpqURP2p6xlPe7eOs0TN6/iOzfouFrXph9QLs7DyRHanEEZsartOh0Z51YLCkgFwKRuT+AL8VeJaQvcjYBd0ljTNJRVxTJF2OlEK9NGU9UyFdj04rZty9r6Gg+97W0YbXnwgQf41Kc+BanofOxjv0kIge3tbW7UNVrBXXfdyTNXrrC2vsbW5ia7e7ucv3ieq9evoZ3FFTkX7mPNlmIAACAASURBVLiDsqp55cZN1kZjlmVFuawo1k2yPo4Y5L2q6obRoI/1HrwGbVguSwAWiwXKWhbzOUUh3kXlsiTPcppFiVPiG2MVK3thKfhJtFaWuDzHGVkWZ1YOvtBWnD17irVhT9AUrbBWXC7zQjJpq4Xg4NJBClUws5ambglRVLdC1y3oEsrEUlwOuda3UqBCoFyWkudrM6q6kueZilOIwvVXiuQsKQdh51B6vAcTsVj0IdkXw2K5IHPZKgrTWic2EU2NcxZjMurGE5Xihas7oCzaZETfYqKnby2DYT81M0aovQke84m+64N4DUUEPxcb5eNjpItnhIS9t16evxJRk+zvums1TQ8rozpWr0UXpN79uXN2Nf2LMaNoKHyieMrnedq2SYKzsLqmI2CjoQlSZOsmUtWyPymKnM5EsDOMq8ol08mRFGUUXmVkvSFNC3kuBI3Y1BxO9omhJnMyWddVTd4vWJYldfCMhwPe9MY38dWvPsqjX3mUPgbqlnw0Ju+t8eZL97PRWr525UkChhhFpfz0E0/hbI5vJJjn6rWb5P0x/+oXH0YTcQpmRxM2z7+GfDwg6xdkuSy4jdHUzV8VFhCsKnh3wXR6DaM1aAiJ3x68p07RdaIAlsMgdJCIVlTB87GPfYzP/MGnGRQ91voD1k3B9kZfQp01LJqWyXLB45cvMxgMuPOOS6yNxwzHYwqX4ZRh0OvjvafILblz5FoocJubm8QY2dza4vTmCYq1EY9+/GVIiylS4To2qAqgNdPZHJRGJnO1ssntMMruYzHKzmNzY0NG8gQVNbW4VnYjdSfSiiGSFwVZdnyRd/a2zmXMZvOVmKZ7bGxsiO9OOee5F14gKsVkMuGBB97E1voa13d2xNK4rjl/7iwgcZKd2+X+/j71fuBoMcUax+H+IW3p2dvbx2rHbDontJHtzU2cy9LivqHX6yWb7xzvI5krqOqS2WwuBT0JfIL3VFUtC2Akw+DcmTMcHM3QSg7t6APeKNpWbLCzrKCMJQqoq4oszzAKnNWsr69x4fxpCQe3mtY3orAFCVjRlqatKfo9oveUywV55oRhkqYwla7Puq7THkZhraNuW7I8ZzqbCXMpl5AigMw6+W+lkv+PeCLFEPFRDjnfeiKikLVOKJWihRBVb+YScyZGmkYKTF7kVFWd2C9hxXmfzZe0oeTW/oSqDmhjUT4QY0MvU2yvDamrJcEHnBV2WYeTd9BS57zrvU/dfNJypOtSJiyzKlSFdUxn0+5OTvuC7hCXa73r4EGKh29l0lJaAuc7FpMxIbmEHvt0iSD0OCs4xpBeMxJMZjBRp+lArYpHWZUCCyUXgZB0Ra33qDql0BmL0paq9YzG63hENezbBt/UlPMZMQr8a1Iz1e8PyDNHVZZEa8iznGtXXyEYxfrGFi/uH7E2HOGN4+rOTa5dvcG432dRlkK/RXIK3vX2b+In/tF/S8843LIlVi3B5Qyt4U33vp4Cx6cf/gz9wToxV6vweqVkZ9XpfL6exzd8AejGvm5klBD0Jo3Zgpsq/HHVT2yKqg20eMg1n/3sH/N7v/O7+EXFuD9guz8gdzm5NrhM5OjGSLc4O6qJTcX5rS1Onz3LqfNn+dzDf8zLO9fJcbz1LW/l81/6ItpI7uZiseDE9hZFXlAUBdoats+cQrmCnYN94TsnWwq68TV19EqLuGxRVYlRkXyNtBZ14gqnvU28phRr4/GKuSSF4jbvD7X6bXWDLRZzoRyRhC+Ac5a6rhJsInCZRnYDX3vsMhHFjZs3OLG9zeOXH+c93/zNfPnzn2dzc5OrL7/M6ZMn6BcFoY0s5kvyfkFDYK3f5/DmDZyxvP3tb2Hn2g47165z7933cPXqK5w6fRoVoK5qauXEuloZJpM5PkCIijIdpD5G5pMjcpfRy6RYLBdL5rMZg8FAFKdty+b6Gr7xWJeTuZy8KCiSy2ZExnhjLcu6xrpMIKXFkoiwR67uXF951mSZGA6OhkOUSUtJxEIhz3J62mIyWe5ZLSZpdVURkILUdb1luQSlCW0raVdRHFqdy1cdsg+R1kveq7Em7S+ORYydo6rSUmzatjn279eipm7a9jb2TGQ+n0FMzCFrqOqKpvEsa8+N3UNQKS83BHRoGfYshVNU5VwiOLVd3W/HE3di2iQ7CcHrhbEW0uei1CphzIcgCt9WdgcdL73r4kEaFZNCl2LoDAyVLLYJSc2b/jGyJ7JKrcgQ8n6xoop2TCHtNFVdryxgxEE2ElLKWSeKk5wEQ2eDHaNe0XNBy/M3GVsnT1O2UTz4I/RzR9tU6MLgaykm3huyFC/pjJPdQpT9TC/vMZlO2Zlepakbbty8wR133MFisUCjKL1nWdeJHSWwZFmW9PMc0Nxx7z08/MefI+vlXL2+z9PPPUdhMmxmOTHs452AyyG58hqlVx5fX8/j/x8FIC3EOmhEHA7TmK+OD00QC4O9+RG/+4mP88gXv8hGX8IUhjqjvzWmWiyIEXJjKDKHMxIkkzmDM4qN3jmMj7j7FHXTMG9rmrKkMA6nHX/0x3+EK3JMjNgYcSFQFJb19RFltaT0DWbU53MPf5Esz3nXu97FVy4/SlXXAtekZe1qH62EGqeNQ2mhw0kAuiIog0LTRo1FEaImohiNx5RVeTwdHO+8kW95bLy2sbGxSkij+zvT76JsTayBKFzxOy5c4OqffAWtLfPFnPP5Oc6dP8dvfOQjDEdDZrMZeZazt7vH+nhdogTTYnDrxEmOljMu3X03Tzz5BDGIe6Q1OdWyYdAbMpssCa2nyPqYgcAVMSo2t7ZBaw4ODlgbZdIZ+yATwJpNlgGeZbmkSWZdRa/HuTNn2bl6jdFgQL/os7m5RUw01rZpaIOnMLl4CsXAvFwwWy7SrkTehQ7TR7Y4LMuGppkwnS1x1tF4OXjbtsFoEmwlr1eRFwwGffIsI+8PydPN1+H5CoWNWszfsgxlXQpa92gEN0bJz1MmJkt3oCqtieo4tEVrw2g4oq5FYNfBQQDWarxvju8TrVlWNcvKc/XadcCCSmI2Av1c08976Nii0oJVTOZs0mkElDnOBJB9ym2mhiEQUjHQyQq8qgTOWkFUyZOqrmT/UTdia21STsTqJkhvhTWy2DXJkqOu63R9HmP5UdgTK/uIDgLWKXXOB7+ijIr2ok3kgDadGaLubdvOW8jj24CxAh1370tUjrXN09RBUZYLYhQh3PRwRm4VKrQYDYN+X5xAgSzRZq0x+AQL7u/tUTfiTdSmoj6dTOm0Sk5LtnA3xdR1w/Wd6yyfW+K958tf/CIhBN75zncyL5eM1taIPrCsSoJShI4g0k1BxJXe4ut5fEMXADnU5CZaef5otRIvYYQF1MbIU88+zcc/8XH2dvfY3bnJa19zLxfXTxCiwAttCJw6fYrnnnk20fcUThtyZyicZTjs0S8kxJymYXpwSC+33Nw7RHvP9vo60+mSXlGQ93o000PecPcl7rl0gdLBxsYat27eZLi+ySI0nLv/bq48fYW9p5/i+77/b/KLv/SLaYrJVhCQSbJ+YZEIW8lYkwyqDMoWPPv8i9zavcWp06d53etfRxMixWDA3sHBStgjY/ixTP12bHU0kgNjvLYm3VjojPG4TVgkr3MMitOnTq5iLZuqZjabMZtMuPOOO9m9eYODgwMGgwF5NsBHj2/lBmpjw+6LV6lpOTg45NKdl3j00a+xtblNaCx7u4cs5gucyzlz+hTLeUXckI6zWlbC1tCal16+ygNveA0oRblciM3x0RFmNMJZg9OGM6dOUdU11lqmR1N8DGxsbqJQtEHCyFsfcEWOCoHZcsHRZEqZwk7kgGBll9BRLW+HGkETPKik1CVo8qxP62u0zgR2bCPTpqLxGqUqdg/mBCJt29AJDAU2kEXmeDxiWNbkWZY45xKY7oMYsPV6/ZUXTts0rwq7ESuQlL+gZbFsrWM+n9E5rzpjhNuOYr6suH5zn7IOoPMkBmzpOUXPGnRM1Fqj0NiVv1YHh6D1auH8qgwMpVLouVpNCp2Nc5cJ0XX1XXFVKtktKL36f8kUNqsi2TUyvm2Tyld0OlIgpAFsk2GcGOMdu8rGVBBU0iTcbueulFqJwZqmfZUTmPfH2cfBB+oQ0MaR99YYjDfwyjEoCilMBA72d8kMEFuUkr1Ed9haY1cZyVnmqCphBEmRJsHWAs80VUVV1xitKSPJdiKu1OZVWcpr5TTKaZbLJcpIc9Tduy7PmFclPrGmVITMiB1L+KtSADr+bnfRRCBqqNoG6wxXX3mJj330o+zfvMnGaMxAGXpra6hFSy8b4E1NVQUyl3Pm5AmUlQtVUgoDTktw+aCfMxrkDAoJvijLksPdXUbDIbnRnNhYx2vL4dEES6RQgV5c8tBrT2NcYD8EekXOwY1bbG+f5NyJk1z5/COszZecPHOa3avXyFxO4yPE1PEntkb3M4rda03UmtY4gnL87P/0v/J//rN/wVNXnueXfuGfc+7O1zBaV5giZ2dvj3JZiUFWOiRUusG6TinGQFH0WMwX5EWRXBRDwqmlAIASFahSeCLr4xGDoqBtGgieZjGD2LJYTJlNjyRcxQlVsUpZrV7JHiJ4UbbmrkAFR1PBYlZz68Y+edYDCpR3zI8aIjXl4jny3HE0mbBz/YakWVV1goLEW4ZUrKuyROU5vvUsywq05omnn+WJx58kdxlbmzm5y4hK0URoYiTUnus3roMROwdjHDGq1eHsvSwKj216k4dNCi2JITKbz1JubACvsCYnpBS1jiFT1wJJ6iSy6qYtHzxW2UQzDkwnCxaLOrGCUgZtXUs3TRRBT68nauz0c/d6Bb0il0kgBHyM2KKHj4Eu9lHEgxmN9/ho2N0/Ylm1qIRjayI6lIz7GU5HQlthrbhxdg6VOhUAgXoaiYxcHf4CVXZL7e716+CY7nXsBFNEksOoX3nyyzWub2t+zEqb0+HWy0Zov6RpBI73YdaIHYPs0DTKJG8fLXBLZoWSao2opLtdhSzt42ofUlXVSkegVVroRtmhtQGwfYq1bYIRZlJoPb6pONi/QW4VVkeMFpuRJoXAG2WwRgSEoRFWk6pZwWjdaG6dhSAwkSuMPNeqwrfNCn70TUsI8n5EFCSCR1mW9Io+RkmcatPUtFWNzyN5kdPvFYSkIs6T4vnreXxDF4AYIw0eqxUtQmP79Kc/zaf/4FMMi4K13oCCyNmNrfQmS+c6Go1QRmCZmzsLskw88YdrIwQ4BOUDGZpx0WdtNGC81sekZcpLV6/x9HPP84Hv/C52Dyf0hpGbh1PKqqTnchxQaM/J7QFL37J3VFNXJc1CUR9MeeiND/Bs42hjpIiWzfUNjHNUoUHHtHSy6aDuOAyJxROUJijN5Sef4vzFO3j4C1/kox/7XdbGm3z2s1/gg9/zfrKix9NPXWG2mLO2JqEl3XQkr1vq6GOkyGXp6LLsNp64dE++M7xKvkIYTZ5nhLZha2ODldmYhrxw1HUli0wnitjFdIZNBmxt62nbQNsail6PyVFNVWr2qjnODghB0e8P0KgUPg5ukGGUxmrNYj5na32dqipZLJZJCStdVJ1ycBdVTVSKpx5/iv39g8SZF2Mt5yQ6MisKJssFe/sHcuCj067dpBB1uRnzxOVXSpa3xlqa5JDZtm1aTh9Dacd0XHEvlS5TTOFCWoDfft12ats61InZk+yOY5d5q1fceW1kMbpclCwXVWK4yddomwzPEjzTQSj9ZDmho6FuIVOK/cMZ0+kcbRzaiALY4Mmtop8VaMRWQlsjYemtHKAKRASpju2ko+qyNmQiFRgjoKM0GSalvcnq5Niywaci0CRbgu7S7vZ3cpC3OCfZ1bdrHnSCPpUWenP3Pbuw9tVrHEmTicR2KpJDZzrou+tc7CIcWSZwUl03uEyKQJeEJvqIgLYGm/cZbZ0hKnHHJQTqasnB3k0yF9F4YlTJz1AKoXE2uasK0ys2YsCnSi2sNSWEFWXtCqfv93v4pqWpq9v0EYZBvy+NTnrdOigPo3G5o3CGtqpRQeOiol0umTcNg35/JWjMsiyZQX59j2/sAgDcPNjlV/7Nv+aJy5d5/X33MywKLm5s3vYZrBafSszP6eUZ08mEOy5d5ObOVfZ2b7Gzc426bShshm499azk8nOPcv9rLnHx9EP0XEZ0lpdeuYpxOe/+lm/jlZ2b9PpDqvmcg+mEuvWM+w7fBu67/16i7VP7EpSlnxfsHxzRhhaVW97+vvew3h/yh5//HIXNOLWxzaJu0NriY0jLuuRhZAxlXVMUmqAUN3Zv8cwzT3Nm+wSPfukLnD91kslkxu7uPi8+f5WLd55j5+oOy/mCjfV+whPlwFqN691DyVJOwsUlB1ik92p1CNXVMoWuK4osY2N9jRPb28wX81VUYK+XltxKUxQFTVWzXC6xxoHSND4S0IRgKUtPXS8ZFJJ+1SYXzeAjzsk4bTTkzon62WboEDE6w2rHfL5gOOzTNi3WZuzevMWVZ5/DOMdiucBoR+5yijynoibLclxWMFsu8fMFNs9ZX9+grhrptr0nJmm/c1kKP6kJidIoC0Px+hHLABF7+VZuameESWNsd4BbbueYr0KHEK+mpm1WFglKKQhdbGmaLJDuPtwWdkIU/LYTTqEEMjAk6+yoia38LHVs8Y04XTZNRZdbK3YMwuqyyuNUZNjP0NGjlU8UUSmqTdNI95uC433rV6QCbe1t2gNetWtYhS91O5T0ce9F4NY1Yl0hSHemHE5ODmJ9u08RadHuZQoiihiPBEfJchgRu61eP1b3DjHeBkEJdNf5Lsn36BhMnaI34qxMZW1Ti+OotijXZ2P7LJiMNnhC3WA1zCb7DHqWGGu5DpCFfEfIkMW5IkbJIlhUS2nuCBA8OvmIxUb8nTCWpqnJrMUYmfZmyzmh8hR5vrIKN9YRlAj+Bv0+Z86c5f4LF8iUwUTDpz71KULdUPQzTp84wWw6FQv09jgL4et5fEMXgJs3dvjIh/81fj7jgfvvF6qmSlAkXQ0GIQwfJ3PlNnJ4NGFtvCb0SgWFNWRKY0NETT3XXr7KN/21d3P25Cl+9X/+Rf6T//A/4P/66C/zA//gR/jxn/pZHrj7ft7y+vsofcPRcsmLO9fRaPKiz2R/n7se/E5+74tPEZXigQffzKB/nd24x3g0JAbP9Rev8uTuHnmRcWqwSbGMFHmPx55/jmwgbCGjxJ/cB89ssaDojQkx8siXH6GaHvFDP/S3+MQnP8XzuzOaVqGj5fLlxzh/7gxN1VKWFXKhe8AeHySK1Y2ojWG+WIin/XIpGHNyNM2zjNxZ2kavGB69PJNxMiUgOSvB4U3bsLGxzmK5xGVOONJaUTY1xjmU84QoDAsXIs4oyrJE061qBKPNigGbmxvCwIgRHw3GjTDaceHSfVy/+gJfeuRrDIY5wQfmsyXOSPi42AfEFdQllgg521vbGOvo9ZCDzFrKqiJEn/yi4ooeGrXADkKHPaYgrpa2KkWNpvxhZ5MRXNKGSKZEJ4hKXa/3YuMcAm1aQnZUQ5fC12XqkY65rhucdURi4m03iSUGSh8zW3TCwoEUBmNWRadJYS3WOIJK9shpmZ2byKjvcFZJiI7WOJulSaQBY8iT2Cwiy9suCD6mm6tT2R+zZMQqgbS8XUGydB2+XlGBdWfVwLEXv/fHWcUdSyhL/y+UTsmS7ozz2laglNa3iSgQk3gvKYyTDYxKOLsUm0iMct22rSeq4zAYnQSiUswCNn0vHzVZb0Q2WMNjCI0HPLlRzI72cKqmKheMRoOUjCYTmrCbxD7GJyiobmr2D/eZLqa85z1/jXPnzlOXNUdHR7zwwkvs3rrFfLZAVTUq2X40XpbwMm0IJDsc9CiyAm0UGMXG9haba2PWej1pXhclSkNUkTOnTrExGrPYO6RuatmD+L+EAqCUugD8EnAa0Vj9fIzx55RSm8CvAHcCLwA/GGM8UFKefw74ALAA/l6M8ZE/98kZg42yKd/e2pLQgxTE0nE4OhaL4GWCN1qjKZdLWcAF/yrlrdaaK1eusD4cc/2VHXKvuOfsBR75w89y1/lLOJPR74957rnnWS8c97zxtdx68UVm85ITgw16xYAXJy9zc9Lw7z7zJVyW8+BD7+DW3j7rm5vk/R4mczz7wgvcef4i06rk1z/8ayzrioFbF45zFP/3ldI3wv7+AZubQ2I0TI4mAEwmEy5eOM+t5UvM92dEbZjOZomrbROL5zaGRMfxSWKJGCUJajabsbY2XsXWVXVFUeTSyWp9zLiwDu8lS3a5XMqSjsBoPEYpxXh9TSiECY44ceIE+wcHWG3w84Uoq30ym8sc9WIpLC2lGQ0HbG9t0ityslwyicsm0HrNHXddZFF7Lj/5AplqyZRioHIiLUVBcqokqUZF8l/XDXfceSd5ontKUEor1gc+QmjRKW82BE3fZVRNDVEsH6wxNG2yjUBgG1Jz4RI/XCf1cJv8hToGUF3XyU/JrKCO7hBtkj1Et+PRWlNV4o/TJLOvdP+sfnWxhzotRaV4p6xge6z27t7n7lC25jgiEqTo5pmh7xTORIh+FX3awX2Zc1gn2QsdLLOCH9M1FNpICN1zJDHXJMO5ozPrBGcJKec4cGlFyTRawtRD567pVoXDWbu69uX19Wl6Od5NmQQVdZ387cWvI0/odPh3j5j2NiHBQVUtHX6XCVKVFV24i7WdrYjD5n2sK/AxhUZ5z8HRAeujnMnRNEFIlUxQCcaJKLTq6LLyesUYmU2nnNja4vGvPcYTjz2OTfbuVVWRFY7hcJter0+e54yGI7Ki4CO/+VFOnNjkzW9+E3mWM5tMmR0esVwsmM1nzPb3uP7yS0zzAofCoCmKHK9ge2uT8XBEezSjMZbBeLSCH7+ex19kAmiBfxhjfEQpNQK+rJT6PeDvAb8fY/wZpdSPAz8O/NfAdwGvSb/eAfzv6d9/zkMOx7W1dTa2TlLXFXu3bmCIGMXKzAsSNhtlbFRRkeW3Wct2tBatKCvP1MGFc6e4fOUp3nDv/bwUPGfvvpvZ0XX29iZUiyUn1jb5jr/xQT75pYd55PKTDPIxJza3yfIer3/zW/jwr/1btjZOMJvPmEwWjNe2eP9f/+s89crLVBbC9jqzzLIs4a6Ld/HyzjWUstx18SLXbt3AkSXBVkwFYJ8YLwjF0QdUMHz4w7/G9//gD3D0hUf5lm95H5/5gz/EJa+Sfr9P03rBaJVmJaSMr8arlYKjoyO2t7epl0vyPF9ZDUtQOLfZZchhPZ/NyIo+RW7wPmJNBoiMXszdDHv7h4TgOXn6DFd3rlP0+wyc49Jd29y6eYuiyNheG9ErcvLMrfYJPoAPFpP1uXDuHDd3j3jh2h5ow2jzBFujPrmO9PqO6cFN6uVkZdzXQTPnzl2gaprEdxbBz3AkN6e5zRd+NpsTfEyup566FQfRZVlS1TW1b1eJVbmV5aVJy0RRhWraWvYOeTpIOkptxyDpYJtEwUKRPPDlHUhWEHFV6JdlibMOpeNK8NRNM8eslpjYJMfLvBDiii1DCkWX4iqEhsxoNkY5oa0xiV7ZHZYhuWs6J7d727bigmqN2Fy0nioVNZUOy+45xHhsL942rRRvH1ZOrZ19cjeRd515x+JZsauUJGGhjgPh29aL82xULJZVWgzH1ee3iT2lUyGS3OTU6EReJXiKaSm+opcqVh5EGlYLYkBEblGhXJ9iuI7KhCWok+lkuTgiM4HF/Ig8c8QEN2ljVq6swfvkNBqEFaXkOrz3nnuIIfDVr34VZTWul1HkhRQnn+i1USa6xeyIyeSA0FasjwfcuP4KeZFT2Iy8Z3HZkMF6H+0Ms8WEaj5jmPXIXU7VVCgM586do8gcmXXMIxwc7FPX9Z9/rN72+P9cAGKMO8BO+u+pUuoJ4BzwvcB706f9IvAHSAH4XuCXooCJDyul1pVSZ9L3+bP+Fsq65eTpixSDMZP5daIxZCqKAk93+44uKzTgvXQMo/FQtvSkAw5NaAO3dnd5+zvfxZe/+CXe8paH+PDvf4IH3vgmPv6Vr/K+97wdWs24KLjr3vv5b37mn6CM5Y7T9/DSc89w33u/hceevsLu0YyN/pj/4kd+lJ/+x/8d1mgW1ZLWKAa9Pipq9m7tM8wHaJuxe2OP937r+3h59xrLF54ihIZxf4M8d+xNDlHAbCpRfCpGfN1y8sR5PvS3vo9TZ87wloemvP97vpevPfEkVaIYro3GibJn6eIvgZU/kGDZmrqKbG9tCa2zbfBtk2T0tSyjgnC1iVEW48YwKHpUXl7LthV62tHhgmqxFNaCD6igCEFTNZGA5XWveyPGOA6PJnz3d76Dpqq49so1Do6OUFGCbUKA9a2TFP0RB5MFL10/wLmMU6fOkBe5wFNNzfVbN9CHDbaZsjnqcce5Mwz6PVk0+1YsnyuFyyz9Xu9VdNY2jfi+9mS5I8+y5B4KvX6OtQN6qXh2h5tSiqqqxGAtBOazOQeHU5qmZjJZCr6slbx2bbI6UAqCRsXkSBvFshpYsWFCytM1WjyKev1c1MLdoWbsyrmyK1xq9VuXYCW3qOtCWbSGkKaHGKAp2VgbkhmFpSEaKIqcOk0k8n2EPdSZ1xlj0FaTZxmL+SKpXiVK00SSe+7tNE4ksS1lE3RWK75JlsuryTMtIePtNFBzvABOqmWlFHleUDWeumwpq4Y2dG5ZiduvSoyW2d4osYXuJoYuptVoKdDQLUwV0YfVe2oS/BRgVahiDIli3cf2RlTRoJo2MZoCPpSMB1Zw/mgTZKVWwjyXgn9CrDFAnomwzyZKsTWGgMJYjUmOrUbLbi+qiA6J/BHEycDXnrc89CB1XdHPc3pFQdHrHTsaKCFmaK3xTUNT1agYGQ77+CLjxZdexL7n21AKluWSrFcwGPwls4CUUncCbwY+D5zqDvUY445S6mT6tHPAy7d92dX0sVcVAKXUDwM/DLA2HvDitas88rXHuXjhDq48+Th/Gv55LgAAIABJREFU87u/i9y0WK0wptt2d92/JFn5CIP+ACLkRYGOEu8XdSTPcr70uc/z/re9m+cfucxDZy7SThYcthWfvvw4D2U5RZbxud//BD/7sz/L//J//FPOn1/n7/ztH2Pvxh7vfOdbeP6lV3jHu76Zn/zpn+LOOy9yeHjIW9/6Nvb39+kVBXXTcPrSBTZPnWY+W7C50efjn/k9NlzOXTjWik0cBarXZ39/n6AApAONdcPacESvKPjkw1/llZuf4NwdF7nyzLPSsRlNri1r/SFavJ3FMTG0Ioa5DXrosNUsl4u0aSRiME+2F51aFlKXZ2QCECl7hnMZITQELzF8w/46vcwndWnDHecugs0xxSnmS4dWlvH4PLsHLeWyYrx9kf6GCGCUFvrrremMeLRHUfTY3jpBXuQEL0vT69d3iE1Jz2r6meHimbvAl2gFVbXEZTm5yyVz1QkmX7c1PniWsyXet7jMMRz0CdFSVyVl2Rx35KpjrkQ6ZWvwkSLPk/WyTEV2Y018+13GYrEgy3Iyl61slOezObPZjLIsWVRLYoQiy8XKw1jKkFKZlOQGS6xjK5GGaX/RHa5ETdvWKemqoKxKqqpiOBrR8eq7hWm6p7Ba4iQzA6Nhn9wpYvCghFooiVhSdOqqlo532ZBnGdpoKeBaUVU1WhtZHqav6cgBOmU0u8ScMmlxq1KkqNGGoI7V5dCBNWnaJqQdxu32LGmHkiCpuqqo65blssZYlyAZ0TIIDbclc4bxeCSTTGLuBC/hRk1zHPYSoyaEzv+pez6yIDZGbLwHwxF+tqD14IoBTYJKVWzo5RZDwCaev4hApLC0bUvTtIRohXGUjPU6BpnWQud11oIS1pwxepVP4pMoLcaISs4rsoRuV6+ftZYsy7DOrRhfClZq5eOp3eKrlq31DQ78kiLLUFFYY/1+n/WtzVXh/3oef+ECoJQaAv8W+C9jjJPuxf/TPvVP+di/t62IMf488PMAZ09vx0xDeXCTa/MDxrFl9spTbNxxDuf6KOOIKnUNISSlncdGRVEY2rZha2OL+dHu6incvH6DB+66l/njL/Lu0XlYWuLWJjvnznL/g6/jmcef4P47L3KyHzm6/jX+4T/4O3z50cf5iZ/8ST74Nz7E5ccf463vfCu7kz3a6JnP51zb2WEyn/GB7/4Ak6Mpt4722b7/Ii+++BInaniN6XMuX6fvFbFpOXJjDsqWl24eQFQ0MXJ99xZV3RBjw7vf9RAH04pZdExmFYdfe4orjz+GjS1vuPsuRrZPO6uhFdgmyzKq2wygum44tEIlHAyG1GWJrxt6WS6q1qZFG0u5XNLr96mblsyKJ31ZVfSygsPDQ0bjDawr6PVGTCYLitEAGwBtmTZgVcHa1iYS7iJKzjqC7Q9poiaqyLKuJbu0aej3CtbX1mUxWViaes7OKy9iY0CFhrvvOs+wl9HUS6p6jtFKPJgyvYI0ymoJkOyVW3zTkDsDWSZiOiWRiUV23HEKTdbiIyyWJcY6nMvRuRwsVVUSQiQrMvHoD7LYdZmlaSpaX0tDkTlGoz6jUW+FP3cdp9BMoWlqlsuSo8lU0p1aMG2DihqrLAaLQtM2tbx/Wot2IQnVXHYsFrTJ+E+wZ9nwG+3p5RanQccmBaEHMpWL9xUKFYU6KXqHli5RK8bUYXvxyupw/G5BG1bQjCYr8tVhC4l6GboQermfOm8pSDTktCOQLjdRSmNM0JFPeRjyNb0iY2NtjaqqhDrqxXa5TfsJCUNPwe/dE+1AIN9d78fspBiTtiB5FoUQaBsPUWJhq1bRkNMbj2h8SHRUS2Y0qpnj2yVReUiTVuYkTzmmwtNRnlViaGVZnlxHpRm1WjPoFZTLJc5JIDxak+cFEYk17SBaq8SUMcRAlmcoL7qMztHAGBHb6XQvW23QpKKnRGPS7/UJrRfFe1LHl2XJfDH/s87gf+/xFyoASimHHP7/Ksb46+nDNzpoRyl1BriZPn4VuHDbl58Hrv153z/GyHT3Fd5waZNx3jIa5Bh2WUwzTp65JHmrSlSGbesJeHRU6CjhIPt7e2yfOEE5O8DHgPaRt77xQXYffY5TcYiuPdpqDq/vcrR7jc9e3+GeS5d4zWtfyxcO9zl/572cf+fb+IVf/nX+8c/9Uz78qx/jysuv8B3f+X6u3bhGXmQUWcb1a69QNw0vPf882WjEtevXuXTyHOGlGxxcfpyDVrOGk+epNW0IVKEmXx/QLKc0iVXgY8AoUtcz5POfewLf2DS2BnLj6JmcWzd3WT9xgv1yITeoFfFMh0fHGKmqaoXbWmMo25ZqWUIQ90RjDGWdFInJIVTcD2WM7/V7ULZynLiCg+kCrQv6o01Jl7IO4yMYwY1l2SYh83IzBibTKWVZoZViPB4xHp9CKbDOMJsccHRwhKUlj0vuPH+WrfUxUckyNy8cuetjjU5q45q2afFRLLWFbRKxrsC6PFE7Q5LWezFNS9xyYaMIRdIYSxv86mCt63bFDoFIXVeCz0exACAdmKFOLBatUVrYZiRlbpM48gKmpdwGZ9nY2mAjrqNglcsrXbAcaovFksViwXxRMpnNadtAVJY26JVORO4zyAzJu6cgtzo5duoVI4rYUR1dsucIdHYDXR5vxypSicEinakVIRJi3UwiVXSW00prOoQ/RulIfXIrNSm7QBmbwtUDqgtqsseeQjp168Za+kVBXUt6l8QuiglfCAGjIlZHXJFJznGi3x7TlpMjQDr0fVroplrUnUmrBLAQI9oafIz4qAnKkA/7NF5yQowPydNfpsfYlpLFS9f1NwlalgIn/9/lkCjKcrmi7FrryPOcXp5TlyV55tBGY5O1tLGWii6IRiZAZ+T7NL4VVpK1qft3qTAHVJQgoCrRdGP6GbOioNUyGSzmC/G3ms/ZP9j/y/ECSqyefw48EWP8J7f90UeB/wj4mfTvj9z28R9TSv0bZPl79Ofj//LIiz5Ff4h1LbWGo4NDvB5x4Y4+2mZ4lTzIlU4LSlG7ugjXdnZ46KEHUcagkkf4Vz7/RR5cu8CottiI3Mg+8MCDD/Lo45exlWa6u2D3qOK3fu8zjD7/MG9/x7v50b//I5w7fx+vu/+NlG3ksccep9/vCx7atCxnM37rNz4CNuO++17Hyc07+fKXn+LENNCzcmhUmaId9tnZv8E7PvDt/PZnPiOskcxx8uSpRBvMJOREA9RsbW1wdHRI5hwmQlPWPPfKVdbvOMsr9YyqqclNliLsEjsqLRaFTWEoXMZSCXbawQNVVdI0DYeHR4zH62hrWVYVttfnrrvuYn86Z2NzjHUDoh2SFQatC5TJpPO0Bk2kTdBER/OjDdy4cXNFIT1x4hR57oQOSMve7nV8XWJCy3o/4+ypEywXOaGZsVwGbIo/NFo89Zu6TlF+DpSEhG+fOk2MMJ8vWFvfoCxLzt1xFzdv3qTXKzjYvU6TxmXBbV0KQZH0qCwdXDaTQ7mqapq2EbO1uhLoxohbpyx4I3VdMzma0CYYSGmd+OCKpvUsypKtrU1cYt0QoCyFdmuUMIAkV9ejdYKINAzHI3rDAePNDZQ2PPPcC4mdpSS3tlySWc2o5xj2CoyKNHVF1supK5kgusOfDudPNg4mdayRCGlCFnuCkILqdVpmS3i8dW6l2RBmT3egpwlAHXvwd/GJCtkxhCQOU4k15W4LqHHWUTcSUt80Tbqz40p57YOE3hjbKYslcMa3nsGgL1YIyFK4ay4EIulccknXiUScSvqbXe0ElXG0GHr9IWUtGciZzVHBMz3aZ9QzqAyJXk3FtIPdOtM5tJYM4rTPiDGgsow8cxCh18vRaXE9mRwBaVfiPfNqRkQKsTZG9hrGIPbuTqwctE4xpqIlUZG0fE5ixLZdTV9tbFd+TcPhkKPJhOmtfWbzOU2QCf7rffxFJoB3A38X+JpS6ivpYz+BHPwfVkr9p8BLwA+kP/tthAL6DEID/Y//n/4CGVsdrhhSuMh0fkiWD8iLAdY5tM1S56wxiGtjwGOsR/vA0dFhuvE1KM1sOedtb3uI4UtzzLImELARYht5+eUd7r/v9YzmNV/59Ke59JqTfOozH+fU2XP0hkP+qx/7Ma68eJN7X/9ann7uKZ559nkybWFUc25zi+rWLms2p/KaLMBGf8ip0Tq9+SEuBCKesg74WHDfQw+QpXD3tUGfSilmkxmz2YJsc0A0lheef4EYGo6ObkgHFjN0tNhgOXXXJfZ0w/61q1RNLbBFWZLlPVQy6BJ3VKGbRuQmNVZosfWyoWokuESubTGdq+oWN1Dcdc+dHD3+NG20KF2glUUZcQ31+DSaGohyAMQQabwckEYbMpexubGZ9AItSkX2dm8wneyT68C45zh5apPxICcGz2goYRjOZsmNMlDXDVW1OF4sIurasqz4wpe+yIc+9CE++tHf5LWvf4DheI3DZc2srvj0H32ad7/9LYKJp7WiJhB9Q1SeEM3KdwnExyiGlrYRIzOtNHmRo5QlRukE9/d32drcFI1HFBgjhCBe8tpQH00geK5dvcb29haDwYCgAnle0NQNNpf4zYg6ZvsgTUHUiqgsu7t7HBwcYl1GF/+oYmCYa4aDgtwqjA4iXssc3reJFSNpZF2gjFggtMfsN1SC5rrs3DYtkFlNi50quE12ySGldaEUUXls2rV1UJewxxL/PtFHXcpV7phS3nsya6nrWrIQjJjMoYXR41xGXVUcJ96JD5APkhomgTNqRa8NUYqwFPWwUvN2YrNjD6BkyRBlT1G3LdYVDAfrVE2yTSfI4RtaCqewNorBJBGtuqIJNrOJmisTAOrYb6uuW8mHgKRCd2igrSrWxmsMBwNmi3naU0CZwl6mkwk+yIRKFDKBy6TwzlvRM/i8lmLsPaPRMFGORaeRWct8Nmde1+A962vrTI4mHB0eis1FkQuz8Ot8/EVYQH/En47rA7zvT/n8CPzn/6/+EgXRZNzcn9E7u83G6Q18CDz90g5fvvwRvue7v4vtE9uS/6o8QXlC1JgA1naYpBav7eTcePTKTc4wZqgtzaKkl/fpa8uDb7ifF194jpHLeeOJU9x5zwZ/9wf/PvtmwMNfeowrLz3HiTvv5bFnn+byo5dx+YC//UMf4uFP/g7jrT6qKel5Q4ZlrddHh8jA5AxNBrVkqaIV7/v2b6fuOz75B5/izo1tThSaKzd28EpxdDhhc2uMMoYrz7+A1kVasClMiKjGMxiMuF5OOHX/BZ75wrMslgt6vV5aNNb0bJ+2FWijblqasmQ6nVLWJVmWU9fHSkGFYjFf0olzQoIv1jaGRF3jbI8QazI7QCnH/a99HY9dfkwOL4SGW9Yt+3sHuCyj3+uxtbklAiVraHzFrRs7qGYJvubkxpBLF07TNEsIDdOjudga9Hr08iyJczRlVROiTxz/LsFNOrmoG2L0vPjS8xxNDvjt3/0d8qLHxuY2586c5k0PPLg6pHSi/jlrUzYEcqgJef2YztdRJxUrtazqmMNasb6+tlp8H+zt0e8PGI/HeB+oS7HUds6tlu9NXaPSBLZYLAhRFsrChvFonQvGGxU7N26wc+MmjYei6EuxDx6rI1vjAYWFpi6JPtIG0SjIYlKWjTGIKEylHYfAcIn+mdhgpEO9Y9h0ObqdDUNXOFZOoOp44WysPM8YBMe/nZ3SNg0Yu+Lyd7uLbjnbLUqDD8TbMiq6z1Gpm+/w/LKqkue//Fy1F4y+07ughIwQfBSFOkkKmqC+NqWHif22vNcm62OyIU3SNvjWU+QZbTWnbWZoGrQqqMoapVXKOzZp0yCBRJLGl5hEaYoJwUvwipbpa1kKtNbWFaFtJU86qaabtqGXJra18SAtejXLsmQ4GrOxscFyWa6uvdB4Qtsync9pqpKITLvT6QyTipztFwx6Q7a3tinnC+bzBZ6Ar//MHeyf+viGVgKHGHn+5Wtsr29xff856ViVw7dgo+NLX7rMB7/3u/EsiLR4FDqA9gFjFMPhkBU3QWn6Wc76xjb9VxqyFqpWKJdtEzi5dYKwNeT61Wd54N3v5pkXH2FQQT42vPOb3sorv/lJDq/fwGL44Ae/n/e+91v4F//sf6MY9Tk5HHOCjLO6x7SB9bxHiGLSVRiDB3SEvrZsD9f4rT/8fcqdfQZFzrxakgdFreFwMiEax1e+9hgu79E0YvOqUehoOLG2xTy2bK/lDPqKarLH0dGE9bWN5DipRQHrA1VdU5UVbbmkc1w0TjxzjDUslkt8Whotlkv2D8Q7p20bmrbk9Kk1rt+Y0R/0qZolvSLj2WeurBad09mMo9kcUKyvb7C+voEP4mu/WMx5+YWrOONplzPuuXiGjbUTFBbqcoL3AgdoFckzSwwtVdsQrYSP62Ss1VFUtbUczWb4BGPUdUuR92nqlqPDQ27eegbnCvI85zu+7b0MszEroZUWWp5W4vUuY7VkxbZ1YoeRtL0xSuBHEMdNEXbVWGMhGnKX08v6AkMoiL5hOBxSNxI+vra2TuaEaSPL9wG+lR1DB0WNR2OWZcmyWnL16g5tiCjlsFY64KqtGQ8KBrlFh4qmEbjBaEno0qpL4TKraaLIi0R/TQpYoE1KbpLILISIyRwWoQm3aQGqlbh5QmcZkhNMWIkIO1bPCkZDFtPLZSn7ho6+GWNSytarrlwS1cSLSsR0AWNcCrURqMqo4wm1i/RsW0kx62xLxPJCdgLz+eJV2omO1ZVlGVmi8fqoaDwYl5H1RsgdlPQHWrOcTwjNnMzG/5u794y29MrPOn977zec95xzc6iqeysqVCmUWqml7la3WuqcsGwMxthjGxhsk2YIMywWmVmAGTA2Brxmpm3wAoNt3DbQWZI7uaXuVs5ZpZKq6lbVzfmEN+89H/77PSU+jZhPWpwvWlp147nn7PD8n+f3UAOTU7MMBgMJEta1yFsOnHKjg0DTp4y3+47Cl7WlcCIh2qpGiQcWbUKiuDVCboShIQhaIpN5w0C37FBZx+7ONs5BOuzLgaSo6O336I6P0ekkmCAgiSImx8bAOra2d+S2pkO67Q7DYSE2Vidkgf+ex7t6A9BaERtwRcHkxAx5XnDp4iUOzs0RYJgcn+ahbz3E3fd+EKehNlJUoWuLqp2HJBm0CXC1vOl1EjOseky1OuSFJa0r6LRotdsUyjJ+4yne6O+xNiyZ3u6xc/E18qzGqJqli0v8mb/wV/jVf/sb3POZj3Jxa4UTc4f5wcs7DOopFl3MHDVBZSlcTa5qVKBGYZ2uU3zxN/49WTtGhSFlaJjpzrBlc4yx9NOUyoRcWl7DBDHa1XSSNlk/JbCKg4cOsxIOuWF+DPZ79DcHuNyO3nTWKvCJxCYkE8UxyjmG/YEUcvgTsPHUxCZRXFspwrC1pC8PLkyxsb3P/v4eYThFO2lT1YrBsM/u7j5JK2FifJJ2uyNArEBRDHOWls+j6oKoGnB4dpbxo9MEAdg6I/OUzSAMJYlbZrJQOeffvBVaOVzl0GEL60rQAc++8DzTMwtoExBGMdfdeDsvv36ea6+7mVPXi096f7/H7s42b559g/np2/DaCJUTx0VtHbVVoyGathZb4/tjRec1nkwpCSt8PEIG9KJ5O6wrybKSOJH+3do6QNNqd7yLRgI/zedNTk14OUagdpdWVinKmr29fTnxAq6uqTzj/96P3M35s69hNFRVQRjFqEAKaYo8p6FaCljO+t7c0rty9Nv0/9BvPHbkhGqK2MGXxtcOp9+GM/YF8+K+FynG2Xok6TR/uzzPiVuxbDh5TRCK3t98v7L08yCEWlnXllbSoq5r8jwbDeads5JrUYJQzrLczwr8qXqY+tuKyI1Z5r8vEtRzDrKsELtrLTedTqdDUVQknQnipEtjFiqrgkBDXfTQLgUKUC2SzjhZoXjo0cf5wIffRwtNOBqqywJvPa4hCgzOKkzjlqolrV363gJnrZQ/4QijNmlagpabWSPKNBWWg8HAQ+CEyGrxr5m3ZRiyIqc93qUopI/C+GDb7PwMtVJURhFpQ7+qKOuKpNP2Ets7vwW8qzcAZSs+8b4TaJuxublEez7hz/74J3nimZfQeg5qxfLyiiREsVTKUftra2AdkdegozgmHZY4LPu2JmiHbA0ruicPYyc7TB44wG7XsLm2y6uvvUhvZZlDc2NkJaysDtjeHXL6lo9ybvsZDhw9yt333kOlI4roIBf3Qv7Ipz9Ltb/F8ne+T7i2TbHfw+kKFVgi7WglLXKt2E0ienGHV4Y77BcZs+EYUb+g3WljtIVI88xzz6FNgK1rxpKE2ckplveHdMKE7WLIjR+8mXxli64zhBtDdGGFV1MPpG3KO39cXeM8oCvsdNjd2RG7aFHKKaOucGVNErcYDgajwu6yqAnCDs88/TKOCRYXr6GyIZdXN9FaTkYzM7O0O13KsiSKQvr7O6xtr2OwjIVw4sRhtKqpylzq9bQmjFqEoTBxQDhFcZxIsCgwUsyjr/TJFqX42sOgTVFCELc5eHCB9fU1nnzmGQbDPnEU0YpjBv0+R48eY39/T67WaUarFWGCQH4vvNzaII/9m1ZrQxTHfkMU3b0sSgpXgoXKd7LqyIyGl9ookjARD73HYjggUA0TRganjQe8KAuGgyFpUVIUJTu7++JSqmqvoTuoS44ePoRylgtvvY6tC3DKb86FcHWc83q5lKcrfcWC6ZwMWpu6VJCNDSUJYvc2ymkT7KoahxBGbjjIkyQuJ7GRioMnkl5f7UYbSMPAr6sKEwYjWU0pBHWum1uFG3n3nRXfu2wCErpTXk4CCfA1CeuqGUwHwRXdXcn7WXz/FYGRhjUQtHaRS+dFv58yM3cQFcRYmoCkRzjXKUbJcxB1xqms5sCBBb729a+xsrriZxSM+rbt235mrYHK4zqcGw2466oW2c3LPtZW4Cx7ezv+9SKk0DCIRvZWpQxVlWOdwjiNdbWEG5UE2ba3tmV+5KQtTqCEgkEPAqkBLV0NOhg1tDUSXu2uzEXeyePdvQEoaIUlcVhz63vfj7UFOu4TtFNslVMVOVkhTovSlQQYrIVK1ygtOvT+3j7d7hhZOpRC+ACGixNcO3mU/n7K5PwcVRjy8MMP81++/Q3u+uCd/L1/8I/4f/7vX+LNpWX29y2T08cZmzvK//537+NXP/95br71ZrJKcXnT0o40X/yDJ/jpH3kfP/2v/hH/+mf+F6qdPdK6ZubaE6z1X2X98gZZbQmDGdKJSbYGNTYMGdaW6fEpdvq7RJ2IiorDhxZYXd0ApFqwm3QIMSwuHmHsyAKJ0+iVfV56/SxHDh+lP0yp/PXZOsdwmIo7RPlOWR3I/EEJOGuQDmWI6TkraZqRdLqUhQzg4laCszFHDt/Kft9yeWUPa+XEMzc77wNByHW5HLBycZmIiql2xFXHjhKFMlwdpgUoafsKwkj0dD84FA1Z6KBRHBNGPrHq5ySyAIFziuXVLe760L2cX7rMdx96iCxLSaKAsVbiFwyx0FV5JiGoWpO0EhnQ1bXX/UHKyDVYqF1Fq90Rm6x1NKVDVd04ZYKRZl3bgrKQgFFZVdS2wlph+gco8WBX9WjoPBgMqEoZVhdVRXesy+zcATYvXKKsapKkK3yiusJWJWPtmIluQp4OBLbmGnSEbIbGg+muDCHFjdIMF5uTpWRh3Cix2izSzVlQ7JpmJCFFSUzD9W/cN0bLTQPrq0aRblycSJFBoD2eW071jee/wV3gZTdt/Bxk1E8BaZqNNPEgDEd1jXV9hUnUvD6sFUKp9jeqZqNUWmQmHXg7rlLENiTPfZDMaSam5kCFVLUjCOS1RF1RFRmddsDHP/VDbG9s8d2Hvs+x41dx//0PcGn5Ek5ZmUUpjX7bk6raUjtaV6XfDKqRO0ispuLkGRvrkmWpYFkaAgGe3eQUaV6KPOifj6QzNko1Z1lGGEnL3IWL52SITU0QRVRl7bMZlrKqiaIW1soMpD3WlRtD4wL7//F4V28AID2jRjsi08GFHQg1J04cR9kJtjcU733/p7m89gZjY9MEQYvaKZyPhwfGsLK8zNFjR9je2gLvYd4Z5qwVGctLl3nhO99l+ugCf/yv/wX+2F/+ec6ceZXf+fpXOPGeW6nyIdvLA46dOsazzzzNVVefpN3WlDWceX2JlukyM3ucrY11vv69V7j60CzPbVxkmoKJYZ+VbsCD6+c5Pj7NuJU6x8GgD1pcBP0yZzjMmZyYYq8e0ApD5sbG6MYRe8OUDM3yyhrjQYf56VkOzs9x6blXyXs7nLrtVs5eWmK/yKUv1jp6/X2ck3rGZjEYpEMCrekPBgRG0e/3Aai9GyRutSjrWhZe/7mOFq+deYtWZwajI6amJjGeSZ60QlaWl0j3d7BZn8NT4xw9fIQwNJ5QecUpoq1ci8si9ygBPepuDVuRlxfE9he3Wn7xUlROs98fMjN3ANfLuP8b38BWkmRtRYY8HZJnMD4+TlWVI0qjrUvv67WeA8NICjNK/slaCTkpDXUli1CWpuRKjU53eZbjsIRxLMO5OKadtDGhpa4rhmmKVjJQLbOMQb9PWeSC+Y0C9vf2sU4RtjosXV7h4somcdIlCELxswNxGDA52cbZEmwpw0evKzcLvFKKMi9JWokvNhGvvWtkEn8zUD4LIwUxfoP1J/1mE6nrWgJyVg5G1qd5G4BdGIRYZUccH2PkdpSlmfzMxnjfvh0FopxzwjXyCzeuSfsqgjgmz3KMkptdxZUGLtHFA98nLKdepxRZIVmOuCXtZ7aRVJTnfhmpipTfXfmGL0sUGfKypj0xiw7ERmyrSvR7W1PVQ7Y2lmBmnC9/9Uv0ewWnbzzNH3zjG1xYegsXqNHgWdIc8nDOYSuB5ZlAuiVq5+R2V9cyTfFmgv5g6NlkmiCI/cYlr0PtTRcOqL0MWtb+OajFHYTSYu+NJOlunaSiq9peyWFYue3U1lIHmqIqr2C0vYnB1dbLmO/s8a7eAOQ0EaJUjTGWIA6pjWJ1dQVb7nP9dXfyxhst+4cxAAAgAElEQVQvcuTIEb7zh8/wqc/8MEXl/GlTFqHl5cucPHmtnP60xhpNYSzn+pvccd/Hue/9f4PP/vEf4fqty6RrF3j+maf48R/9o/R2dlhcPERZVPzuF77Az/7cz9Eb7DHWjXjxhWd568J36bYPEgURi8ev5uxbT3NmeYeN/pBoLGVze5sDCwtcdd0pxlNHtbYjbO+xDmp3QJpnhCogikI2NzYJpnxxi9F8+EMf4D9/6atELegPCm46eiNH4pji8iq7yyscvPowO4Me7U57NICs6loGc6F4rkU/DQjDgKq25IUMuIaphFeUU+JhzgsJNFlxUpRVSWVzup0uUzNzWOfnCNqxu7XG6mAf7UoOjCccv/EEiposz6hKbyH09Ya2Fgtq2GqNFiVh44iXvPY3kNqXooAmjCJWVzcYm5olbLV54qkn2drcRCmIowCjFQcPLZBEEceOHeNDd9/NT/7kT3LquuvktuMDdUpJH7AKjccv4Ju3mmi9w5Z4PIYMOtvtjoR/6pp2O8G752klrRHJUuypcrsKfNLUYpmcnACPWt7Z2WZ8fJKkPc6Fy6tEcVeatayT5K+ByckxOnEAVYELBFN9BdgWSo+yd/uIJVLkhqhpuXICuHt7yrlx14ysml6Xf7vzRxKrouvjEIuuViN+j9fJxJ5pDLnPkQRBIBhpREaSpjOxfI4IoUrRSHsgX0sMA3YUaBsNkU3gkc8VCjMKnYm0Ykd21TAUiqbcJLwk47XwzN8otDbUZc341Awl0vwWKj2ylSpXsrpykcWFeTrtmLpSHD86z5NPPsmFpQsSHlWyDNZVRV7bETzO/xr+v85bmrWEBZXycD3jk9q+ptJ4YqkOMMb3IijtO6XlJql9lW3zdZv09c72jpz+PVK8LEpMGIIHAdK41vz61k6ukGXDMCQwAa1Wa5QmfiePd/UGUFU1JhqnrmD+4EF2ezvs9fdJWhME7QkeefQH0voTGKp8SKCv1CIaLXFwAYFduc7WusKFATtlyfjN1/Ds6nlu/tS9ZFh+8PD3iKzlNz//b/iTP/FjJFHI/sZFhjsXePC//Bu0sRyamuW1ly6S9wMmp0OUc6xv7xGPz/Mbv/cg7/30H+XlJx9le3uH+aPHOHzsBOuvvAlKTn51XpCEAa0kxmUVg8GA+dk5Xlp6nSDR3HjDtehA8+N/7If44n+9n7nWNMkgJXvlNfq65ujhGcamp2l1O+z09nyTVIryxdS2sh6WJVH6vb09Wq0WJgjoD4aUZU27LadRays6Y105iRlNb6/H+uYmG7sZB47dhIliLJZLF89RlSmRy7n62CLzU+NYWxDHljTNcbbGGU3SamGtMEy0FxiUVr6wTEnbmJMXc2AMQSTpSZF6NpicnqU1NsnTzz1Hv9en1YpI4lDCR8gpPvCYhwvn3uLZZ5/moUd+wM033sg9H76HMPDIBxN4uBcUpfjFIxMS+CG4CbTY9fCsGC2J1Lq2Mh94m1VS5hI1RV6P0quhDj3cTE7Fcvuo6PV6dLrjbG7u00v3cCYWx4pyMtBvt5joxIRGEA5hHJL5xLZILY4szQBZj8uyHC2azjFqvaq9VKWVJohir0F77r23dzb8GEC0duTzojBCBwEjhELzsd6lpJUmabfJ85yW37yNkQaxIpebdfg2CaYZLjdfLwwDlMNr5Fe4QtojipuOBIDIU2ILTwltehVkw3CjWwqNRNS4f0bzAktVK+L2BAQxrnJ0Oomfrwg6Y3N9mU9+/GNce+1VFLnlhedf5pFHnuSFF5+nrIuR06euBSUtQbAGb93coqzMVJxgPiQdzUg2s7UMdltJ4h13jG45zh86tHaAnOrltROM0spKa4o8QxuxcuMzHGVV0Q0i//00NojEcmw0hRLwnDip5DnVRobp/8PMAKwLuOq6j5Gmuzx1Zpdzb11i4dA0OzuaxcVJBr2zHDtyhCormJgYxwSgVcPtMASBo93tiB4XGIwKKVQBgVA0f+93/xM/8ed+js9+8pMsLi7y0He+w/b2Jm2tePzRR/nVX/3XHJyNOXXyKMPeKlGUELYn6Q9yqsqyubnMWOWYmJxnsKu57vQHeXXpAtf90E+zduEFTumEZ196g8986D7qtT7PfutBEl3SiUP6gZx4Dy4usLm+jnUwOTVDVdXEBrSr+OxnPkObmGBzyLUHDvPk939AsrbPzmDADXffyTAOKIqcNE1JOh3P+i8JjCEdpFKibqSU3ATiTsiKgq51opkHgnvOqwLrFK+dOUsrThhPOrh8yMbmhvB7VMHJk0fpJiFZ2qfM99BaUeUBgYZKu5GmbQIjb47A+ESzQoc+aORplEEg9Y1BnLB0eZmZ2XmSiRmeeeEltre26HbaHFlcIA4N2XBAHMe88dorHDp0iGtOnGDQ26Pb7XD1iaP8i3/yj/l7f/tv8u3vfJskHscqRVmUZLUU18StNmVZUTlk6NacQsOYsiiAijJP0VEsCVAlYC1PNEAhkofwdMQZkqVDqqqk1YpxQG/QZ3pmjtfeuogJCy8lCfICW5OEiumxLnVVQJlTVg4dx74PVoaSgUdWGy8ZBMaQJIm/sYmjR5wpBpRA5Yy3zZal9VZV36AFo14CBz4sKdKSdY66LP0i7DMCzazBOYqq9NKatIxpc6VRTqnySjbAh9WErW98gbzc8mQ+wKjnQMrTxZYqP48sWM2pv5GvO+22OHry3PciC9226WOobelzAo66ApQhCNtcXlknr2sflhIprxVpNCWz023W1y6zdOECExOzPP7kE7z48rPkZQZGNiSrLGmekeUZwywn1IY4ikc22eYGU9fVCHDXKO6Vv8kG3k0n/6bIyxJlDBZGsldV1+IwQnDlYRBQVZKTKJ2V+tZm8OwsSjvpbrDi/Gp6GaqyRsdyo4ujEGPEHNBut6WQ6L/DCvqu3gAMim53klw5OkFIN95ivr3A468/zjVX3YgL57j+9o9y98c+ytNPPsN3H/4Bt99yG0YVaK8bdrsdACkMp8IYTRCA0THjEzP82I/9CX7z936HLM/5U3/6T/P3/tpf4z0nr+XV115l8fAiF5ZWWNk+T9LpMhysU9arOGKMQ1wutiDU4lDoDzO215d5ae8SRw61qF3K7/zeb/CvfvnXOLxwiP/pZ3+Krzz4++TpNkkcM3/VAo+++QrGwunbb8FWGf3+gDAcx2AYb3WYjsd56fFXuf3kTdz1I/fx2LPPcODgDN948Ju872N3MxgMGPQHhFFMOhj6kJacsBVahkTG69tYZmZnyQtZvEo/Ozh3fomLFy8ReiugrSt21y4yMTXJNddfTWgcg8EeeZYDwj+PQkNeZH7YXIp8lA/JUt872+jOlZYAjqddhlELpSM2tvcJ4pKp2QO88MrLrK+tYbQiDBTK1uxsbjA50SWKAvJsyC/+4i+yv7/PSy++xNTkJOfOneOOO+8gjGJWV9f8NVk0/6quBdPRUBGV+P8bvzqIRFTXFRpJpTYqrdgYC4yJCUODLQQUFwQy40izjCAImJqa8sM4Rz/d4vzzr6BMiPaDVfGYVsxMjtGKDK7M/UlNTtMNyE75U2Zzeq8K3yVcllAK+rtq/PhIkEwh0pAdWTOvSCr437HR8ptTYhzFUuEZBIQemmet9Vwf5aFrcoMeDodeDqz8DTsYnYIbmqj25Tjg3UX+BG+0Joqi0e2lAcW1k7acbhu30Kipy9tulRqdskFkorIsCbRYU52TUnXnLFqH6MBgnWZlYxOHVJlWXvLqdFtk6S6z01MYE7C2us309Dyvv/4Gr732KmVZiKTnrZdRGHLTTTeBUpw+fRMH5+Y4cOAA84uLfO9b3+KVV17x3b8NqqJhIRnKuhhVRAahcPkLX0rf5G/EgnylOtT6Ib9SkoMYpAOiOKYqS8IgHlFSoyAgKwts7RhUKba2EvZst5mcGCeMQubn5xjs7sptLDBQlMzNzb3jNfZdvQG0kpiLq5cJ2jE2S6mGJYszR/jn//Tf8Wu//Vv8iZ/9X/m1f/lP+fp//m3mEscnPnQzRycvc8kNWLchhRmnnSQoFN2kTTUccO6VNzhw9CiV0nzkE5/gwz96H7/8K/+SrcsrDLd3uem6Gxkf6/KRj32MpeUV1neHXLy0jNpJpS7OwuxshwBFEECkKlq6pjU5SRIaurpgsHGRiWtvI4giPvzpT6Ks5W/+1M/xytNPgM348D138dK5N7nt5lvZu7xGFIXMzM6xs7/J/mDI1OwsJkyYnT3C2Rdfh3bC09/+Q5KJcU594CaiyS727Esoo9nc3GQ4PEzUEqeN0rJgFGUpuGelyYqSwXBI3IopKmGFFEXBq6++xnCYymkzatHvDSiykuuuu575gwdxOPIsY3+QUvohrFZ6RC1sCJNKldR1KcEbb9VzVhACCrCullIMFbK+3WNscoqxqWmef/459vf3SFoxLSVuBqMNgaup84I6N8zMLpIkCV//2lc4efIkRjva7Qluv+N9fPFLX+Hej9zDWLcrsoMPiuVFhTIluvDMFB/eiaJo9LyEYSShHO/3jsKQLMtIsz7O1cRR4LsmLGWRYXTbD+hCAXFZzd6wx7lzF0bBo6y/TxIZQu2YmZpkemISrSRcxgjVLQEr7SU6oXW6kdSitaHIxe6nja+S9JbPRq8fDtOR6yYIA6/RV6NZi9hag9GmJlWO+GT1lS7owPchV3XtT/xXaigbZ1QDXLOe2CmBL0Z45rc3cgXG+JuC/zyEk6+Q4bNSsjkqpYkiwTWkWUYlx/kreA0vuzTIZ+vbjow2VBasM2BiTBCzcGQSUHKbcxatKtLhNmOtkN3NbQIdcd0N7+HS5WUefexReoN97x5VIzT1WCfBVQXba2s83+txNklIvPy1u7NLt9uVZIStpb4TkX+q0d9R7FhN4E9+Vj16jyjwJ3iZUTWDbOv1/3aSUNWVBBaDAJcX0obmlQylIYxEngtrkfCGRc5Md5YGAJi0E4pSDmLpMH3Ha+y7egPIi4J2t0NaZAwGfV578w3Ov3merFSkRQ3bff7YnTfz8c+eRrdzCPu4wR7BpKNecQw3ajrtNulgSKsVk0Yx//AX/k9+/Tc+z9TYGF/8rX/P0tY2F86f4323v5fWTWMcWTzI9uYa61vLvPDSczz/4guMjU/Kic4pbGnZ3d2j05kmboWEgUO5HNAQBMwcXaRiW664SMG428947JHHmWl3+aN/6ed54JvfYIY2Zx95nsPj89xwx63s2D6x67J2cQtlAiYnp3jjzOvMXL3Aw889yk0TBzg0cCxu95manuL0NdcSxRGDXs+3iNUYDaUVtnsQhfTTIXmR0+/3MVrK3Hv7PV5++RUBU70tUZmmKSdPXsvk1BRKaba2Nghj2VScUoRR7NOgcvlNU8Ent0LjNXTxLOtao5QbxfeDIEAHbda395iYmWdiZo7zF85xcWkJ5yxxGEJdsbhwkHaScPjwYd5/5/t46OGHOTA7zXA4oK5rLi8vs721xXA44IXnX+K222/n3ns+zIXz5+j3Bxw7fpy1zQ3KqiRqtUAJidHWlZxkjcyApAJSjZwSMiiELC9kcIwsZEVRoK0mTYcURU4QxtROAHKb23u8/sZbhHE8qkOMAkOrm9BpBSwcmMXWJbau/MfIgDgMQ0lWZxlVXRJHLWxZYm0pWrfD/6x+nmPtyKJZ1RWBChgMBoIS0M3HNKlaQxB41pB+WzrXD1ilTc2D4Dzl0xgZwOIHq2K6MH4w7k/IKJrOXfM23d9ZN0psZ35z0NoHxrw0JHgMT+X0Gw2oUUNfkRcUHv/QJLGzNBP3DpC022RZBgpfEWkxUUKtY3QY45ShrK/grqMQ+vu7HJidZXJyiiwtCEyLpaWLPPnUU+z390bohiZ/ImGJCEWLQCekg5K8XzA16QgizeTEOCjF9tYWU9NTkiEIw9GG2xwwALRT3v4qv0BdluB8J4kRB5zzygTIJqqc/H2HWYYyUsqDNuADfVQ1xpNhxRnkv7atmZmdIUtTojj2NydFGEkD2Tt9vKs3gBrHl7/6FT5+770Ug5TrT51i5dIK5JqjxxZYvnQRlOO9u7OU2/uoMJdTnY1odxLYFKzwytoaiwsHWc1Lfubn/xyhVdx88kYWDh7kxo+8l093YnYGfXq7O8SRYmv1IudeXcM4w2c/91kWDh/lP/yH32a806XWFTpQOGq0cqRpnyBq0epoVpY3mJ9MsM6xvb/H/DBlpjvB/OwJtG7Rb7X4pc//Gh/50D28/OaTJCYgr5qaPFkAojDi8OFFJsbGeP7Zl0hmx0lNxSvpJsnRa3nq9ZfIX3iKO+65CxuF9PoDykKao8q6FqvpcEia5WSFaMxGawaDAa+/9hplXcniYR1FWaCVfPzCwgJT09MoBf1Bf8RpwSdOnVPs7e/RTlp02m2PN/aIjXaIKTwlUzWx/5rawdZuj/lDk0zOd1m6dJGlC+eIAkNoFMpqtMf7zs1Ms7u3R5Fn/P5//n3+/j/+Bf7jr3+e/b09bjx9mtnZWR56+GGuvfZajh8/zu7ODvu9HldffQ0zMzM88eSTXHPNNVJxWNcUhZRxh0FAkiSjMJWt5Wd0RvzYotZ4JwuKyqdVw9KIo0IpOflrAybgyWdeIIxbmCAkS3O58dQVoaqZn52im0RUeUYYGvKyFA2ZK0X26XDoOUDC8HG2oXK60WnO+i6CLM9E+giMryPUKBWIdEc1WuCFxVN6OYUrwTEvWShvCc2ynG63Q1OIA9K/25gErHeymAYNUdWesyNBLqsVOEFPaK2FuBqG6NGw2nmt3qeVkcXWIq8JGYrKYln5Q0tz47D2ytA4bOB0pZywTRhS14AOsAQoIylj2Wgadn/A9uZlPvaRj3D9yWt5+cVXeO21M1hb8sijj9Af9HGIpdM5WUCjuM30xARJEgEFFy+fI9Kaj957L0cPH+a5554limJMYDzSQlFV5SiANxpYF6VIQoHA45yzsrEh2YsR1psmG4C/GVwZogdBIG47oCwHsqH7CkzrrNy6Amn/s0ph4ogDc3Myd7CW3V6Pdrs9aqV7p4939QZgMNx84830t/co9oacuvpazp45y9zB4wyyHuNzE2ztLNNPa5wC4wyBiYlbY1Jz54aYIOLy8kWOnzjGN7/9LWJgujvBME1ZmB5nafkiZy4u8cC3v0MnVNx+wylmxhKOHjvFkWuv5dWLF/nyV79EGEVSQxmGgEUbRqeyuqqwleXA7By9rbdohy1O33A9u7u73Pvhu/nuNx8iHw4INzTHpg9y5MRxnnnyaQLnIK8Y0yFat9kclHz4Y/cwNd7irddf5+CBg2xubgi2GsWRG05hs4Jef4cdVaJzhQsCemlGUTv6w5Tt3V36PZkJgLeZ1RX7vZ548K1CWcEGDwYDrr7mao4eP0aaZ1RV4Z0XirLKsbXwWHDikGi3YsY8X8laz2d3clWP4oiyrNne3pKFLiuJ2uMcOrbAmbNnWV9fRTnH9HiXQb8nw8KiJm5FDPsD6jzn9KlTgnu+7hT/5O//HX7yJ36K1dVVzp+/wOrKCh/8wN2sr6+xvrXGLbfeyng2yYWVVZ54/gWWlpa4+aabsLagqgTWFY+KVdxIZ3eek689lbKx5JVFQZYNsXVFHMvfOvAnsmFe8Mb5y2RFTRh3ZLFGXE+4mm63xXg7AluTZ0M6nQ79Xl/erN66B5IyDsNgJLX4tVCkNO/ZV0r8/bW1o3S2c+BsTeGhbc2iqZWkrKuqIopif1K/cjq31o1sobVqSJaMNuoGSyC+fvc2K6n482WuUHp36JXO5Kqu0Fa8//nb9O7R1/bvX22MAOP8o/QzDWHtyPcLjBGN3Cd2G4y0rSsKP3MoixptYqJkDEyEdXiTrr/BKQg7EX/lr/1vjHVibN6weGIef/xxer09GXY775f3s55x/1qOA8PEeJepiUlaccTa6gory5fp9fZZWDhMmtdEcYd2ZxxjBuJ6szV15UYD6mbDlWBdQJ2mGB2gjLwGwiCgdhU0swAv1Y06o5uN3HdRa5+CBpFTMZIADoKQ2lnidsL42DjDXUGKRJGgqoWn5Hinj3f1BjA12eWNM09T7mfcsXg9lx99nU8cfx/n93d5aXWV2bl55uev4+wbQ66+bpayHlDaAExEWdVURYayAdlgiEHxQx//CNVOj5efe5Grji1y4a03OLuxyVOvvMLC3Byf/OjHGWytcnBukrzs89A3v0odJRT7W0xPHACrSKsME3jiIbm8idMhSidEoWZze52qGPAH9z/AyetOMXvwAH/97/8tfuFv/wNuOXqSKs+5/79+iTQdcmhyllOzR2lf2uXM2nne+5n3MzkVcfbJF9lZ3SWemMFVFQdm5hkOUk7eeAPb6xvMuoP0hwMGmVyf0zzn8vIye/v7DIZDyrICz/6vPQDNGAF4Oe+lvv2O2wmjmDzPxNuO9K4aE3kErnyesGaqkY5eVR48pdwIa6u1oT9IBVsbtWklHbrTEcvr67z02KP0e3uEgWGiO4bGcXB+Dq01B2bn+Yt/+S/zu//xPzLWTtBas3RhicUjh7nzjjv5xje/Sb/X5+TJk9x4+jRPPfUkt9/+XkyrxfZej5dffZXvP/IoExMTJEnCfq9PK24RBiJLlaXMLcBnSrQalYw0NkOsIxsOwdZEYSCBtqpCBRGFhbSoOXdhmcur6xw+clwWXi189iorODA7RRxqjKqFxlg31ttkxMbRRtP2LByFRyh4JHVV+ZOv0Zig6RuW13+DHGi0/aTdGnXtgmwY+IHiqEXLSicYPh3akD6tk2ExXstuzqCCWS59zkHmIVLYXtHULTbtXMYYjDOEUUzmGf15IejiJjwG4igqy+K/WfxzL/UYrX1ZjUhceZFLkUqrxWDQHyVtlfapcWOoraI1No5VwWjTw4f8Ym1Jh/tsD9b5i3/pT/Pnf/7n+ZVf+hccOXic8fFx3jx7Buex2M5ZNJrFI0eIOwl33fUBbnnPzexvbXNpaYndrS32d3cIOvJ7LBxaoK4rNjZ3cQ4GacrEWMc3hiHWTX/it9Z53748f3EswcamM6KxjDqfbA6jyDumpBviinwmkmvtBDvirEN5mm1DES2ywg+vI4oGOVIUBFEk+G1vBngnj3f1BnDx4gUOzt1J3TXsdUtaU2M8dfkS11x3Paa/yhsXLtLvTbG2cZETp+6jrEt0YCnKHEfBs88+zDPPr3DTjR9CO8Vrr53F7Kcszs2xs7pG5UqOHlpk4fhVvH5uieeef4YD4zF1vkFV9mkbS+UCOkahqgxHiBwYLXU1JA5DkiikzvdBB7THQo7OzfDEY88STM9Q5yVlVfHAd76NmR5jRWe4Ysg9H/gg55YvceTAPBtLq7x26Q1u/ugHaHUN9d4e5XrGgfggF9bWOX3X7ZTGsLq2ggoMc4cOcnl1lV5W0Ol2mZmb561z57nhhutESjIGrevRtbPIC4LQsLu3x/TMNMeOHJUhcVWReYiVwVzpIfWnYW18eMnKIhaGIYSMTtTGSAdDYAw6CFlZ2yJudRibmufyyipvvnWWupbNottqAY4iTWmHYwRavObtJOH/+Dt/l3/0y7/Ev/2VX2FiYoK7776bl195he89/DBHjh1HG83jjz/Orbfeyg2nT3N5ZYUzF87z4ssvk2WSnKw9KqEqa2pTo7DSQjbWpd1pe7+5SFlNkMnWIkmkWcru9haT4+PUCuIkYWd/g8urF1jf2CIvSpLuGFddda2wfDbXMEZx9dGjdJOEbNhD4xdCIxZY0xSov23oW0cBRV4SRpGceGtpyBK4WiHEVy1SiASDSh/kiwgCWfSrypMq8agGf9BT3kWDzxMIzVT9N120obeSNuDABslsjDwHb58HNXiGpojeeGSBs440S0cp5aqqZNEp5fd6+6ZhrRvlCHCM+ECq2d2UZAYajk6eZZJD0HpUjWnRlFYTtBJqtJ/fiKlAWcWtt97CeKtFOwpZvnSBu265nb3Lm9x71z187rM/zAMPPIBWhsFwQNSKqauasqrY3tom6od868E/4LHvfZ8kjqmKnMnuOFcdP876+jpRFHLp0iWyvGBien4kl+Z5RmB0U70EvC0sxpUNsyorz4+S90schURhQOlKtAp8vkT+TukwF9twINmGpolMOz8LqCviOBRnnW97a57Gsih8z7ShLIr/jrO/PN7VG8Di4SNQ94CSNy68QtI6wGAA7q3zqCDGKcsgS0nChN5uQDLeBbVP7XqE9S4fvnWMD91+A488M6R2in5aMG4ApVjZWmdmcZHuwhxvLF/m2ece55brr+fg7AF21i6CrtBIWcTEeJtBbiVjYAAsoao4MBUxkYQoa3F7l/njd97JzLG7yP7sj/I7v/nbVFVJu53w2IMP0kmkh1QnEXW3xfU3nWb1wkXe2ljlvh+7j71ykxDNE995jgNmiunpccxkwukbb+DEzdeRFRX7/SH727soo6isY2VlhWGvj7KW4TBDB4aqFLfLME1RShqJtnZ2uOrqq8WPXdU4rYgIwPigVFlhq6avtSnAkNOswldV+tsAOJQ23ocuA8O93pCw3WWQVzzz6PcI0QTO0o5j+oMBVVkS+SttXWQsHrwKBRTZkKuOH+Zf/sI/5FOf/gyD/oD/+sUvcuutt3DDjTeydGGJ4yeu4oYbbmCYlzz0gx9w5OhRHnviKanic83CJ6Xs25ubTE9NkLRi2p0E44eUYrmTmH6toJ0kRGHAxsY6w36f+elptFYMKktvb8hWPyd3Id3pecI8J88GXLr4JiEwMzXOgfk5jK7Jsx4gFMzA6+3i+678wFlfQTtUDqWlZAYl0oqlRvnnXBrGyhHaIQpjWQi0xzt466ec0rU4pozBKR8YU2LvLP1NoPZ4aOelpYb82shEo2pDrgTOlAfaGe9YwjlcXaODYNQUFkURpZ83BFEsyfGyRBlN6CGGcRRTFAVpmsppXUErjhmmQ6IokvlQVQt5VEkhSppmGCXPYZIkpFlJRUTcGceipefDa+YlNcN0yLFrTjA3M2oMhiIAACAASURBVEnLKK658VoZrrorCIf/+djPs7G9T6sV8Ohjj1Ls7406FHTtaIcxY62EsU6bwEwQGsPuzg79Xo/p6WkWFo9R1jVVXdHRbfr9Pq1WZ+R8MoG47oyyPiPQSFu+a8I6wkhIpmVRoJwlS1OCQGBwoy5l5WcDVp4TZ2vvUKp9labxUp2mdpoID46zjrKqKCsBDepKwpX/wwTB+vt9rjl+kLrosbt6kcRW1DuOUNfMxGPsx3scWlxgsL3B1772dX7sJ+6irvsMsz0CYHc/4zd/69/xoY//GVSgKA0E7Rb9smRj2GMsVFxYOk9eVkx2OmysrZAvyGIQxQnagA29Z9oPYubmZtnv9YhNQFiVzBrDAgkdE7Lx1Yd4Q9e83F/DHZohiIUNrwFXllTDjLFOh921Dc6vrLG9tcXnfvSP8MIbz3PD6eO8/PyrfOB99/D8o0+zeeFNPvbj9xFMjfPCU4+TxG2oaob9AWk6ZJjnUtSBoywKdnd2GZsYB+cY9vtcuLDEgQMHObywyJEjR6T/t5RTahTEvkRa3txaa69Ny8BSrHz46H0JpThlJEzW9PFqHwIKeOnll5iYmefSyjp1LnODz33uc7z0yku88PwLjHU7/Mkf/3Fuf+97+eLvf4FOu01ZFlw4f45bb70VBzz++BN0Ox3uuPNO1lZX0Vpz+x13sLvf45EnHufYVVfz9HPP8vrZN4Qr5P3wkoytqKuKaHyMMIoYG+syMTGOQ6QHbQxxHJMXBQpHmg7JM2mbmpqaRNUig+wPUs5dvEwYxezv75HnmZ8YlkyNdVk8OE8rEj94lhdizwsCcp+QNT68FQSCMMDPHPCbj1MyIG2wyuDk9ByGFGlGw97HQRjJZut8clr47xrxpspJv+nZbb537SsfAZwTTHbT8hVosZg2cLkwEqxz6d1J+PxC0+glu4eEvnBO8BgjaUjcSt5DQxgEBB4kJ7KjHW004GjFLYqyoCgKwkAWKKtE3snz3KMqtLcPOwprUWFCK+5QWY1TCu0kraudgzrHlCX/+p/9MzZ2tvng3Xfz6U9+CldWXLp4kTfOnuF3v/AFtne2mZ2ZQRmN047jp67lqquv4o477uDUNdcwNzPNytJFfu8Lv0NgDJ1OlzAQnMJ73vMeHvr+D3AO2t0uZVXR6bRFivGhL/zBQmmHqxjJfdbTZvG3P/md1ZWgnpcgZSjuZD6jm/eTYN2rosLWgoJohv3Ob27KdyDYWgrhR4RfHKGK3la7+f/9eFdvAMPBkIXZSTBwYXcaV0+wofaZWGxTljnhXkSW5yTdMTAl/WHFIE/Z3u3zrQe+zac+ci9//mf/FI88v872xjLvv+suXn/qSRYWDxHPz3JpY53u5CT9/X3x9auE9952N4sHZ/it//RrLCzMUqqAOA7pOIMJpWw5CkMiE1CWOVVZcGH5MgdMB11a8tBIX64cD/yASIZnWMtCZ4LNt5aocNzzuU9y//ce5L4f/gQvPvk41x+7hYcef4Yf/ck/QTzd4ZuPPsSJGIqioi767GxtyRtZCbgNB6521JXlzOtn6Ix32dnZ4aojR7nqxAmMMWxub9LudMR+5jXhsizBCaNdG02RSz2k8SEfZ60fdsu1NAxCadUCH4AJRgtbVVvCKGJleRlXg6sqCEJ2NjfZ3tokCA3TM9M8+eQTfPtb3+If//Nf5G//1b/KJz7xcRYXFnj44e9x4MABlBF7bV3X3HTTTYyNjfH9xx6j1Un4/mOP8cSzz0vVonUoV2O4kl5t8M633XoLdVUShsZTOiW5acuCQb/vHRyaTqdLnme0O12sU2Rlwcuvvk5a1ez1+rKwIgNSoxXvueEUSRhQ5BkyzM1HC2VR5HQ6ycgTX1XV6GTrnCNpJT4UZz3DvlnUkecuvIIJtn4o6rynXPvFWmnBNjenacUVbb9hKTWSkUg4NVEUi12wqolbLbGh+vIVgLzh2QQhKDXaKBsLp4TM6lFKOU2zK10JSMpXIzmE3OdKgBGELvBJ36abuskyVHWFKxuctA+DeQeWdZa8rChcQNyOqdFgNBo9mkEEBkIUcRITzc3y0gvP88BXvsK/+/VfJ2nFhEFAlmecOnlKOhXKksCJUWNrbY3+/i5Lb73JWLdDnMSkwwGzk5OMT06wv7vHddddx5tvvsX3vv99srzEAdn2NmEUkecZSSJpXXlvCEq79iRYmWs4HxCsRuVJdV2B08h9WmYXxm/GNVZudF7Lr60FFRAnYuJIsxSHIjQxVVGR5xkVlsm5KYo0k2xAEFB5Sa4oSj/jeWePd/UG0O62iXSIbmkmY01/ULF1eZ2u7pCMd3FVzebWlpAaY8Pn/8PDXFpdoiwKkrLFyomaB7/5+8yduIXzb15k4fhxkplpVoY5G9tbrK2tcUSHdJMOrTBEOZieX8TFLcZnDpIkEa5WZFmBdS2oSkJjcHVFWhZEUYwLNIVSpMpx513vYxAaVl96Rk5jkWhzWZ5xcHyaW4+fZHXpEjtFyns/eS+//ju/wd/6G3+e/e0NPvGx+/jON57grk9+jCfOvszE3BRxq83Z186QpVKMEUeR2PE8t6TMc7RSTE1NcfDAAY4cO0yapfR6+3THulKg4S2EjVd5MBj4jl05rcQ6QiuI42gkZgorvhmcivbacN9FO678yf9lhmmG886OqixkeExFWQ0xxpJnPaoyxdo2s7OT/F+//M/58L33cO78eZyF0zfdzOTkFH/40B9y2223cfjIEZ58+hkOLhziy1//OmNj42gdYv1ibpRifm6WhUOHiKKIpJ3Q7XSl4CYbEscCIANHYBRxFIwCRcNhQaAVZZFTVJY8K3n9zBuUWcEwHUr4xtVECgxw4tgRpibGMVpkHaXE+SXl58pzjK6UgIiV0xFGAVmao7QhzXIvAVWjRK3gmuX6Hgd+QGsCoPawOe+592CxuqyJ4tiHw8SSKSdQxfj4OHt7+yRJyzN5fKG5q3GVHT0focckNKwawUuUNEnkwN8ktDGEYUBRyMLc8P+bUJP1kpYgoWtpBLOOqCWyRJbnBEZuzXUtid8wCEQOMlImX3oshNRXVqP+i7q2VCogbE+gwpiqsgSht7QqDa5m0NujFWmWl1eIo5hrrz3BuXMXmBrvjtxLrShmbXWVuz5wFw8+8ACdblvmP3VBS0UYowgCTRIYOhOTjLU7rK+t02l3qCvH2vo22vcVBEEweg0JfE1cdQ3QTiuFQdxazW1JK0e743uRwwDnWUFhFAl9tZKbW+2grDwOA0dVw8Kh4yTdOZwOyeuSosyY6HZ587UzrFxeojPexrQM3YkZiqLAWelOMNpgjUhKjbT3Th7v6g0gTVOefPIp7v7INZw+dRVf/PLTTHUmUJWjt72P04p+mtKeHGeQZzgdokyXotxBF5at7W1+9ud+hi998ym2N9c4efomrj/9Hr70wP28de4c490xNrd3mJ+bo91uE5qEL33pi/zUT/80R45dxf7OKsNBhtExaV7TTgJ6vT6HDx9mcmKc82fO4AJNWpbkLqQ9Nsa5C+cohinRREe0OAt/5FOfxm0P2Fy6zM6wz4fu+xRf/sbX+LM/+1MM0x7XXXcTy8s9zFiXInAMipTtczsjLdEYg3YI+rWuKTI5vbXiiLjbYX5uHoejNxhIuKrV8hV6clXNi1xOgrE4YooiH8k8DXgrz1J/4rTi8KlEF65sjdYeW+D94Q7Hg3/wBywuHpYTIuq/cR40oR9jJGzUyCFVXYn8EIYcOrSAtZYnHn+C226/nY9/4hMsLy/z3YceYnVzk9/6wu8yOTHp3xxSDdlJEo4ePkynndBqtWjF8cir3yRT8zwnDPRoSNlUKta1JYoCrJN+1dWNbbZ290dgNTlFyyxkrNvl6hNHwUrWo7lSK63pJm3qqqL0tYWN3VLcLOIVt76dqhmsNvWHVV35gZ0mzzNaSQvrPeCFZzg1C/WoGN5f95tFP1ThiBnknKPX68nX8WlZ5SWKJnjUSECtVssPDBuTpqPdbtPvD4jCkDDS1FU9cgiFntkfhiFFXtAdG/Odu3KClXmCn18EMpyskQRskef+sIC3BGciweX5yIrazCnwm5J1gAkJgrbMSlCgRfqKwgiFJUt7jHdalHmKrQr20gEHD8xx8803obVhf3eX3Z1ddnZ22dnb5bmnnyIOm41NEBWtuDUiZ2pjiH2X8+TkJOvr6/zhQw+RFVIiFbdahJ6140rrw2aGJGmJXONfM2KFlgU/MIbayQm8nSQyvwm0zz/4nmRvA5U5mpd3kP//zX//W+z1S4aVQwURR4+e4OTV17B0/gJxJ2K+E1H1UzqTM5S1lMU0veDAaIN/p4939QYwPzfHTTe/h5Xdi7THpzGdgvmxObZ7OTuDPq3xcfJiyOrutpRzG+HTBGELZQvSvOT+r3+Lte2cydnjhEHEketP8KeOHOFf/eqvMtjbp59mtAcp7ahNWZRMT04SxSHX3HAbj3/vYeractPp25iaPYDShksXL0lEP89Ji5KXXj/DWGVwteIL93+VKgiwYy1UFFM76Z0Nsorzb55je2eHz/zMT/C1bz/AD//QZ2h3Qvr9Hq+eXSavA+ok4NW3zpClA8LA4HMrOIe4drKMbrvNeLdDO2lz4OABjNL0evtkWU5oJCqv/JIJUibfAMfqESsGxFUizUomMN4eWow2BQU4Jx7wPJPPM0FIbR0/eOQRjh45IlY2KxtS6Gsh03RIGIZkhS/yRtEfDAVb7RytUHH//fdz5513MugPufmWW4hbLb73gx+gtebLX/0K0/MH6I6NjX6OwBhmZ2aYHB8X94R/oznnRKdHYetQOobjSHhPRlj6uAD8KX0wzBlmBZdXNrAqJIgSjHNEYQvlamyVMDc9QWg0oXLESQTOErZi4ccgBTAjW5+XAS2M5BetNXnRNG+pt8kDzod6JKwXhCF1LSC13GvjwGhwLJuGLOYGM0ouN5JJ49lv+c5dq/A1m+VItiltJY1jSjEcDkdcIKXF0ZNlGe0koawqYfcbI/ZFDzhrDhBBFI4kHpEBG6QDI/kqDIPRALt+G7lT4UaguzAMqKpmNtCA6hBomgNnEqwKJTk8CjQ5yiLFlhkT3YA4AFeCcxWKmiztk2UDuu02ATWqyrHFEFfmhNrKByOBraqsyPOC4VB6snv9PnEYEgfSlV3WlvMXLxK1EoIgpNvt0G63KfKUifExbF1RK+eL5QVZUTk5lAUe21DXV/7eWisU8ner/CA+CIKRg2d0wzYyfC+KnE98/P3YGjrtKZ559lVOnLiBRx59FKsKdjb2+fD7f4Q4Hme2HUjhURNm9LwkhYP/UW4AZVXRcy3OvbXK/8vdm8dcluZ3fZ9nO+fc9d3qre6q6a5eZum2Z/Ms8TAx9ozHNsaLcEIAsyRBIYSgLCJCBpQ/EhJBEhHEEiAkQhCxKBGLAQdQMIZYI28Yz4ztWT2e7p7uqa7qrqWr3u3ee9bnefLH73fOWy0R0wmLRlypu6vevnXr3nPP8zy/3/f3XVbLB1y7tuL1exfcP9mQXeD8wUOS8fQ4lvtH/OBv+g388T/+P0KKGF/wxumG7/ueX8NPffpzLNYF2Rt++tOfJlv4bb/jt/Nn/sSfIqTE6fk5Sxv4A7/vv2B55Yi/8Xf/Dj2wOWtoTnb0Jw32vMcGQ37wkL29A+6en0E/0GM5J3Ex1Kz39umN+MtcT2JbvDkREUr1+CHf8V0fw1UFv+23/FZef/0Wxh1xtqvZXNyRKb7aD5eFwDEpD/RtBz6wWsxZLWaslitxPrWO8/OzS2pj7PHGTXiqVSqatUbojUXxJqtdSYbqxaTKoBWnXngVdxk1A2DkbStv+Ruee47br71GCEHCuIPYKSeEHdR2PVtNGsvGcufefe6/8ZAUB779Yx/jsWuP8/j1a6QEP/ETP8mTN27wt/7O3+X46jH7R1cE7jGSvbq/v8d6taIsArNZpQyfubpFypDVWYtB/jv0LcSO3kkFWjeSkRCKgq/euil0wmrO+ekp282OK0eHOJM52N9jVXm8zbRty2JxyXX3RrINun6QSlqDvn1wxGSxxgnGq0lNozePD5LqJlWueu2oj38Igbbr6XrxwRlGjYDOD4qylHzmSYSlwidlBIUiKL6sYeqpJxlDWZUaqi4zAWPtZE+Qs8BOTq2yDdINhhAYrNhej7YPWSHD8c+lPDJb5OezaqYB9GoYMcJLViyzu74nGD8dGDIPkHD0rPdf0/UY62g6cNWKhNAeM6LUlRjHjtjvONxbsKjkMLdJbLszGaPhPs4aYZqRSCmKst5aYgYn1CmxXe577t69z9n5GWdnZ8LZL6STDCGIf9aocHaWrmtYHuyRs2Rmy+wjUe82TFoSoCdBlgCXUcA3mfOlTNt3ciBoyI14QAlNNKnfkvei9I7B0WTPO9/3q/DFnI9/3w9M/ksPTk4pfM9qvs/56T1Z+5r7LN2yhfzW1cBf1wfAZtvwS798l6pcADV7Bws+9YsvEmY3GKiYWUfOhq5taduOL3/5y2L2ZSx5SFycXfBTP/Wz/PwvvcAnvvedtF3DT/zkT7B3cMCvPj6apNldvePwiWv8pb/yFzi6doMw36MymV074JsOFxMH8z3ykAm2YNZFHqcgro+4+/AhWEjO0cWInVcc7R9w4Aqauub8jYfceM9zrK5d5e3PP88//tmf5Z3veo6UPa/evMvFRm4kryKavutJmnJlgSv7+zjnWa6WLJdL6nrHqbr/jQs1pqjVxug0aCAlnHq/RHXILK3FqLgolIFRRg+PxvQlsIJlG8SRNasnzRClujg4OGBvb49XX32VWvNdU0zYosB5x917dzk5PaGqKs7PN5qLmrDO87M/93N85CMf4Qtf+hJ12/GFX/4lfuZTP8eV4yuy6WQwGeaLGcdXrrCYzyiKkvmsYr5YMJ/PIOXJi3/0HIqDOE2G4FXZK3CF9RUPz3fceu0mOEfXt2w3b5BjZFEFcr/jySeuE/uWODQYb7FWGDAL9cU32nWUZTWxYHLOnJ+fy2Dd5UlDgS58UdGqMjejQz6FdIY0OW2mnDT4RARVEms5MAy9hIPEpKpdgUJG1W3OTF3GoHCdmLwlDatRPr7qHVKSof0ED+if7/tBkrWshWwm8ZVXV0s7GpqZ0b9GOxF9TzFGirKQ90SecgRsP1xqCJzVmUBU7/tuGnbGbPBlxYAjZsgxQVZL4zhg6VnNPWloSLFSts5CbCqszCys+hpl0iUEYjJpiJeD2Ry5e++eHlpMHVypsxXnrIq6hKkTFNYqqhKjXVfwniIUzGbzSS8zHoyAwKp9/yZ2lrCE1JVVmU6jYd+oIM7KZEtRNvKyCPzMz/401eKYx598iqPjY9Z7e1SzGfh9dt0pLCvcuc6KGDsAgQr514UGGmPk5EHN8dWCNGyJacvbn77G9/yG/5z/5If+IE88cUPMolLmyv4+L9+8xf5qzZLEYbHCtPf53u/4Zp5/7xPcO7+LJfL6rVd4eO81Xn7hK1SuJA+RZAxnux0fev83YdyMXRPpm5pF3fOsKVkSKe+e0KWBa4cHdG2mP71g1SU2WDobaJyhmM+5evUYe7bjzu0X+fj3fTef/OLP8+D8jGGIvH73Luv1mps3b0pQjWFyhoxCYCb1HfNZxXq1EgO3WUVRSFW33VxMPjuiHBxDNuTf/TBMcX+dilBcKCSK0Ek93w29DjPFMKwoq0mU0mkVOm4YIxU0YyCOIqPLLOH9g0P2gfsP3pDnDcM0MGy7nue/8d3cf/AQUbpKVdT2kc/84mf54Ac+yN//Bz/KfD6foIKcElVR8NjVq8xmlVDyZhWLxZz9vX1GIzJfSrSntwFfCjvDW1FOGmPAFrSxZbNruXP/Ds4XdBEuzh5CGggWHImnr1/HO8vQbFWUFKQi1rAOyMLmAsBqcI6j7y5jIgetyEe2l/f+TaHp1mlnZcAYJ5i26jTKosQg9D4ZJMvcy1pxyzSosE8tFUb1aFIrgtGe2GrLn5Qx1LYdVVWS+oFCg1PEUC6L4ySWsprRtg3Ol7ohRVLf44NTqC/ig4TAjE6WfS+HVN+J/4yx4lQ5zkhGyE4NDMgx60HjKKsZJycPxZW1LDG+YtclQrkAJ1oaq3GhMQ7YHJmXlsIVdPUGV+iMJiZIEo5j7WWwjbcOZ6SLSSmSlZE1mrWdnZ5NaWMjhFeo8MxbMS0MXvyfZjP5xzvL3mpBETzOIK/Zd+w2F/gg9Glnjd4jojQWMaDEnA59N4XCj75MRVlOVN3R+qHrerJxuCAdkyXzTc8/z49/8p/w1ZdeIQFdikQinR941/veybd963vJMU9Mq4miB7h/XSAggHrXUpUrrDnHmsTTzzzBF778Bb77e76bL3zuC2w351RlxcPTE/bWe8Q+YejY7e7x7/7gd3HjqSXHz7ybX3r5IfdO7vKB9z3Pg/u3OTndkqjIIWANnG12bOqa5aKENDB0Hbmuac82uCHiyxKc497du5wrf74qClaLJZui4OkbT2L6BA83bC42rJ+8xhtDw5PvfAfGOZpdw+1bt4WLbsDojRljZEgJkxNVWbLcW1MVgeVyNlWcbdtMqVrGGryVARw6IB5b0aADLbEgHuj6AddHrcC85MmSSbKGRHw0DPQjXmnUmCxF6RRSFidMH+hTwiicMcREVc10UxD/8ZdeeRXvgg5/Hd3QUVbVI5uUMlpi5OLign/wYz/GrBKYw+RM4T1XH3+M5XJJVRYUZUERAsvFkrIsZaHpQUVOLBbVpGXwToZoEtHouNi2fOXFl7GuECOy+oKcE4VWonuLOUf7exTBKZQUxLpg6CmLchoaJ1XQdn2H815EVjAJsjLqn+OsYtxBFnMW+X4xOoFqkpdzhjjkCSMH2TTjMEyxiGM1K5W4dHT9MDCrKs7Ozqa4SqscdGH+GJ2JyBc7eiBJtoFAQW03EMo5m81O5hkbZfEMA4UGthTBs1fM2HUDi6qgb2ucdlo5Z8xop12VeB/Y7XZTClavzpejMd2IS+8f7F92S1ZCbHat+BrNlgdEZB6RRngpZ2LfUFaOwnucyRRlMamR+6En2CD3vW7kBuj6jr7vJ4GZQCxx6vJTTlMXZK0jeCf+/cFTlRVFESjLQogFswpDZm+1FOtwbwlOnW2NrJOhb990mIBYjVirUZ56MFjriJpU6Kyb6MLjEF3ugUtmmPcObz1lAUHtr7uc8EZCX3KwPP74NYKXNL22riltOSnPnfoRvdXH1/UBEIeBk5MTVot30UWH8YZtc8EP/8hfwRXHHB6u+MS3fZgf//EfJyyvcPLgId/wrueI97/CD/7Ab2Q+H7i/PaMLSxpjaLqW59/5DJ989Rf48Ac/wE//zOfx8yNigiFbXnnlNu/5xgNIsjl3sScarTGyfNE2FFxszjisZsx9wWPrfZZVQagHijZystnx3Ec+wNG73s6tO6/RtgO73dklm8dIalLXyg3rneNgf5+qEL3BarXk/OyEi82FKAlDIZuFWuhahK1RaEXkdFPr2o627UTGr+HUs2oOSs1rmoaiCxodJ/z1OPTkohA8VUUs4h0vCzpG6U76LqnZlGxa0YjFRKtB6GcXG7kBhziJiEJM3L51S7n6lzf6+AhKj/Pecbi/z2I2oywLyiKw3lszqyoWi4VU1AqpBM0bIEeh0jnLMHQKc2W6PnH3/l0u6o4hW1yCnCKzqmLoW0pbcO34cSyRoR8YBmEYpZQpSxn0jhuF1UFp2wmjxTonVaoGeYwpYSlnurrh+OoxFxcbBM8X+KMsCuq2VftjGQiLt1I3cfllyK/d3yP6AZAAcEnlElbVarWi69qJySO6A4E8jHL+xwD23Es4eEyiP+i6gU294WxbU1UzuqaeNAVDAoynS4YHZ+JWenH+ABNb1qvV5OBZFIXEfirMVZQlcRgYdDbkncBgo+laVVWcnZ6JjYJ1OO9ou4HsSkJZMiTeBItYa7FkTOpZzioYbUi8ZgooXbbrlJVlxF/HWVFGj930arli27SqA5ENcRji1MkUQUzVqiJQFIGqKpTuGSiLQHCW5XxOpQaQQamxTtXOkLE2aKayht7HS5uOQeGcnKFHZjw+SK60d34y8DPTDEG68xBkGG0SMtvwFpssPpmJmo11zKuKZrul6yTGdLFaTt1Ohmku8VYeb71X+H95GGOcMeYXjDF/T3//jDHmnxhjXjDG/DVjTKE/L/X3L+r/f/qf9doHe3t81yc+TnaBbD1YcG6g73dCkWtrTHOPj3z4WULREVPHqgxc3Ztz8/Xb3Nt0vHx7x53Xa65ducHF6QV7B/t87/f8Wv7Rj/5ffMtHJIVLKmLHrdt3pVIm0ueeFAwmWExweOV6Jwwf/taP0+KITcc3vfe9fPiDHxBJ/Mzzoe//DvJ6ziu3vsb5xTm73VYgGsXn6t2OoRf2zcF6zZXDfQ4P9nj82mPMF3OGvqOazVgslhKpp5tzjANJRUZOK06hPkalO/Y6KPJSiQ9pwhfl+ktrPQy9fI4or7W9OGPoa3Lq6Zod24tTdpsLGaYmgZtS7Kh3G9pmS9+3dG3Nrt6y2W44OT3j/Pxcbr4kG5DVRXHv7t0JEphuOMXJTYbVcsHTN25wsL/PfDHn8OiI9XrFcrFQeERwV+89s6pkvZpTBDFRq8pyos9hLGdnW+7eewODwRuwacDmAYaW5vwBx+uKa0d7OCPUxaIMDFodz2Yz6rqe+PpFoTmsxkrYPWbytBmvZ93UNK34sJRlKddAcVjvvVge6K/VrQfvgnLh/WXou5UQFZRaOVpKSKa1JwR5rRHnDaFQIV5WOwczwTIguLyxFq+e9dbKLCIOg8RrBo8hC5U2BGZVyXa7oa631HXN+cUZzkIZHPt7e2/qVNpW4ke7tpvuuX4YvfiVaaO4+6BeU4lM0I6k6yKJgA0zjL0sKEAzpHOibzcc7i8wJCwj42kcSMtMq2la6XRVjDcWGcYKTCdztXEoLYDUfFZRlYHlvGJeFazmFfNZybwqKQvPOzb75wAAIABJREFUfFZSlQVVEThYr1ivFtPmPxZuY2Et7yPigxgnZh3QAhNt1+th4x4xVhwGyYgY+o6h6xAyhpAw5FAXPYAxhpOLM06bE3777/iNfPvHPsTLX/l5fvU3fyO+OeVKsNB15LFQyXnqIGOU4uatPv5FdAC/B/glYK2//yPAn8g5/1VjzP8K/IfA/6L/Pck5v8MY85v1eT/4K72wuBxaVvvHbB++AKYHdvzxP/ZH+D2/94+yF+a42HJ9f86XtvcxwXN+5vjgO57nhZe/yvkXH3LjmRs88fR1Xr214+KiZT5f89f+1l/iP/jtv4WvvnyX4ISf3rWJ//L3/QEuLs648+Au12c3uOoCn/3rP8LSBRIZE2XBXpw3LPeOePDwPjsyD+oN7/nOb+Xmqze5+fA+7dBPHuioU+DQ9zLEw7Cez/HBs7e3VgHPwGazkc+MDhSRTmEM0zBGgWQUo9f2dnSMdN7pECmpe2em6VpmM1Ev5yyKw5wSbVOr3bHYE4hCVtpiqzDTaENMzqoLiLRtS9N1bHc1MYkBWtt2NF2Ld57FfMF2twPipVxeHzmpDjJnqqLg+rXHWS7m5Cx89Nlsxv7eHjEKbu3Vt0iwWEfb1tT1bhqgxRgZYqLp4ebN25TVAlfMKMoS62Wj7dsOmx3XHnuCNPQYknwPZUmKkWK9out6uq5ltV5NyuGm6xRPTiyWC/phYLvdUJYzttvdRKXU+TlRD+HZbE7TduLZAmoDjXr9jFBFP8n6h0FTuQwySI2JsiwlBwCBEUIoJtWvbPZeCwg/QUmPBqbbiUwgw2qjIr+yLLl6dUHdyubZx8hu25NTz8FqodDewMH+ITFKapp3Vo3JALIY7w3ibpmUqhq8JykTzTmrLKSBsprRdS1DH6lmc/qhJxnPbHXIrhMq7Hj/jhoRm3uODpZY1FvJCkOmmlVTIP1ut6OqZgprXlqyjfAi+ZHBqnZYkLlyfMRyoZu62p9YgxYsOgMInsV8TvCe0svBXJaF6gaczBtlY6IoK3rNPhb/Hrm3RD+R6bOsQTNabCs02jaNUESBvmse6QCQnOOcqIoFu6amNZF3f/Dd/G9/+c/x8u2X+Ov/x18mmS1H6wr6XiFd2O52WlAIG26M6nwrj3+uA8AY8wTwfcB/B/xeI2DYJ4Dfqk/5S8B/gxwAP6C/Bvhh4M8YY0weS6p/yqPteobBUpQHtPWa2TzgS8fPf/aTWL+DOCftGooi855nnuBrr/dsdw1fe/0NXLViWXnunW6x9+5TzEoyQnG7du06zXbL8cGSX/OJb+Xv/4NPUhRr/sYP/zC/8z/+nTQusdpb0rx2h2p/xem9h5TlgrKo8DbQdJnDD76fa3slD+sLTjcXnL7+Gru6lhbRGPqho+96+qGnrRvKomC9f8B8VrLeW4ExdF3Hbrebhq1kcBbIDrSVHrHzcSgplUbW9j5O6VHDMBCKApfF1ybjSCpYwlz6xluTgUSOluycVu1OmGNOo/uU7jaoOdUwRJGYZ7TaC/Qx0w+RajbDeMfZxU5YIWkUXsWpe8lJIIPFYs7TN56kqipl1RRUVTmxW0YaXte1BOfZX6/pupamb6cuQsK1ZTj7hV96gR5PxtM14jWfdx19s6VwhhvXr2NSh0RzRxoV0EUdxA59P0E/o43ulGIV04TpxxRZLJZgpCrv1fXSGEMcBsqyxBpL09SUZTHRLgUmEasHpxTFsWIDgcFSTlgfaJsaZx273U6V2ug90ip9UpZq13WiRFbcWaIbhWUydhyj19DE/kHpnKml8GpNYqBcy5ypbfvJYdKaSOElDF7+LvXi0cB3uEzS8k7yjfuu005jAA1Gz1EKFuc8u12DKxY4V7Jrepper4deB2ug9CL0I4lfldyrcoDVdU0RCrbbHav1mlIjLmXmcJlQ1ve93n/yd4+4eAiB4+OrOGsmuqhzQjOuqlI+h95/89kc753GZ0pxUoRCOqq+J45eSHHABc0F7oW117WXc4FBFdIYmRNZ9LBDrv0I+42fVei/0tH3raT4Gev41Gc+w/2HDwH4xHd9Nx/80If5mZ/+KWIfxcBRO5++72VdCeL0lh//vB3AnwR+P7DS3x8BpznnsQe5BbxNf/024FWAnPNgjDnT57/x6AsaY34X8LsAlrMZxgZiXvKVmxYfFrRNzRunX2RVHGDywO68wbWnlNljY4dfBFIaKGxitXKsDg9Y7VVc1DXzhYds+dC/8S385D/8O3znt3+Cm3dOuXplxekGbt+9wwtfeZHrT1znlVdf4hvf+S721wc8967naM43bE/P+cwXvsDB9cc573tef3CHtusUyxZDrSGJL00cBlIamIXA1WtXqaqSK8fH1LsNm82ZCm7SFLJtZDIsVboOBkFaSqN0wZEFI62foe8ly7UsC4KXjFUy+ADZRB0aS5U0JBkyS1chg+EM+CAD1qwDMh/KS0ZBzPQx4ULF3nKftu05PTslZql+vRdO+6pcc+/+ybTZxBgn5WNOCW/gmWducHR4xCiSWeyvsdYym82UxZBp6h3OGo6P9rHO0jabKUVqHGb2Q6bD8+UvvoB1Mwo3etFI+tmi9Kwry9WjA/r2jMV8DshhNZvNpii/WjfaMYt3HOKOB4QPXuT6Q1QGj6qdddMPRcCQsWOAiR6kUYVR1lpCVUllq59vTMUaoaThkarQGPH5KcpSOyepkUUbIsre0YJjUNpmVkx8cqe0Thg6isGL7/wjIq6c1bZ5tA+w7HYbqXCtpe1asjJVRoGXnVxC48T3HzUL1jo2OqsaIZC+qSeq6ND3uLBgub9P3UsojcVQGBksk8GZTOprCpsY2kEEVvpZxGFTNvBdXTNfLIReO84c5B0BQmoYs40lMMaSsxErCcA7w7yqcNZQKrZvSFNiXF3XzKqKEMT+wenpI5RSptyLRl08x+4ipSxwa1L3XGMRgbNYbIwzqLFjt2olnVLEZPumjARjBJO3QLupefzgKv/zH/uzPPPkO3nPez7Kr/72f5NPffof8/t//w/Rc8mwytP9Ket6vP5v5fH/+wAwxnw/cC/n/BljzMfHH/9Tnprfwv+7/EHOfw74cwBHq3UWu1UItuNwb8md+gxvZxhasoF3v+/DvH7z82KCZTq6DC1CzxqaljmGph+YL1asV0L1+9TPfYYf+Ld+PZ/+Jz/Lez74UY7f9jR//i/+MIVdc/X4KlVZ8u/8hh/kjfv32Du6CqsVP/ZTP8nR8TG7vTkP79+jbVqpdLK6NfY9Y5JR33XMqhLvCtZ7a/bXa+Gm992Ee9a7WqsMwf+i8r2zyVNVpzyTaciHuZR6j2pPrwrSmKTSH/FSawzZGoJ3dGoO5V3AhoK+79SmQaP+csJ7SRTCiNFbvduxXC5ZLJd0faSpG3bqa1OUIoWfzWekDLu6wQc/hYAMfU+OA6nv+Kb3v5/lYqFtt6OsSmKKLJcLldILTNR3LavFAmsN5xdnrFdr9aOPAnH4kj7Cl375RZItKMrFVIF757A5UlUF+8sZKXYy48iJpqmpKnm/xlliF6mq2eQ+6Yy09k6ZLjEluq4TVe8wMOhge1T5SgyiV4MvGSjGNBrToXCVHEa2CBofKIZgRVHq4S2hM+PnF+aVQAES7WinQ0QEZEwsm1FsNUJhwxBZr9dstztVHcuwtmnEyTR3mTFoHmPwKU2dTtO0FCGoRYOZupNHGSVyuCT1pK8muMt7T9d3WpTIBuSVV991rbCojAcTaIdMNm5aL6CCthzp2x1VSLhscA5i3zIo5VhwbaEOV/OF3AfaFV+7do2vvPgis+USrHQTg3UMzrPpel67c5cEzMul3B9GgBYZ7BoWi7nOzKSCPzo60vWkMxh19YxxILdZ4x6tkCKGQbohnTn0/SA+QMZOHYjBEOwYDJ/xas2BHs5kTaPTjkFsI9QeW3MqPvfFL/HFL/48f+i/+m/5t7/vu9i1O05ee4Vrh/uULtDmpIJRhYm1WByLx7fy+OfpAL4F+HXGmO8FKmQG8CeBfWOM1y7gCeA1ff4t4EngljHGA3vAw1/pL7DWcvbwDW7efoFnn7zG88+/nSEa/ve/+WMYkwjlmqfe8V5eufki7//mD/D5W/+QJg489sRzfPrTP8N8UdGlBUdXKjbbNyirAywlH/vYJ3j55ktcv/EuXnr5dc42LR/96LfyxLWnOTg65LHHr2Jcga/mfPYrn6Wua/qceeXmq/StbG6jN37fdeKjbyx921CGwMHRIY9fe0zw2xyptzvlx8uiKqu50PaSCIJkQYrnesqR2IuAKPiAVarhiBWOcXLS8s2U768PPU5jlESwEPyUIGUUd45J6I19203MB4MTNoNzYmlgE6EQeEkOOgnhcEawY6sV0Ug9rYogFEugS4nYdXz8276VZnfB8fExL77wEs888wzVbEZMkZw9y+XyMrqxDFSlfP7NZsfh4aG8x67Hh4JsDD//uS/SDQbvS4ogLqaob3oisVwvmBXgbabrZIUtFwsuLi6UKurZbrZqjiZwwWw2Y6cmZSEEUdB2vXr6IA6awevCzFOlbZChJdZq/m0xbaLjgYaBtu0oy0KYQxrI4lToJbBenARUYYREtMubhnu6EQ+9OFParJ79Qaiybduyq3fKFJLndOr06ZSxMnY01ortxHK5ZLvZYa2ZErlijGT19tnVO2HX6DC7qRs9DEbX0kSr/j7z2YyLzWbyOnrsymM8ePCQbuhoBsg5koeGUJQTndQasCS69pzVPGBGQz0Dy+WSPsLp6ZnCU50Iy4wllIWSEhLbzZaLs3O+8Pkv8qlP/QK77U5Ye5MQTLKEU070XUtVOBZVQeEt6/Wa9XqPvh/Y7rbs7x9MvlVZbcalyDKTCr7vJPqxa3phi8WEcR4XPKEYMXcp24YYJ9der8LEsdMTvY4c6sGr1XMWS2drLevlHJMC213N8duu03vDf/0//EEYGrwr+cD7nmd/fy3doaqmSVGKHH0X5Xz+ljZwAPMrQPBv/UWkA/ihnPP3G2P+BvA3HxkCfy7n/GeNMf8p8N6c8+/WIfCvzzn/pl/pdd/22NX8nuMZ3/Wx9/Oxb/sG1vsVs4Mlw2yf/+yH/gR75TN858c/zjM3rvBzn/00L33tNeoW3nb1GhfnG+IQsaHAeE9TN+yt9/nAhz7AydlDPv/5z+Kt5akb13nXs2/nyvqAzXnD29/3Hr5y82sYZ7h3/w1OHj5gc77RCb7KvGPU4a5UU6TM3t4Kbx1PvO06zoswo65rcZjU3icUhVD7rFFWgQ6/dOOI6kYp7pzlxPOOMRP1a5KEKGGQeO/oun7CAEc+8UgJG+mLkjNqaHa7CR7w3lFoheqdV5O2S3FLHDr6rlXRmVR3bSeUy6TcdqeH2KD4ZVmU3L79GkdHV4RDX5QUZclyvnhT9dT2nbKixFpBUpak8ipLsfjuh0wyjl/83BfZbGuq2QrnRZ5fOI8xCRM7rh8fknNkGDoYxVHW0LftxIoQqp965igs4n2gbuqpEhuFXILNytC8V4Xtm4asujFnZDYzRvmVZSGiHp0rdF1HKARyG5O1UJreaPcwun6GItA1DfP5nBglJhGENrpaLWWzQXQbgGQLq63HCCWNYrCRNpuUdWatU7qn/D9jxZ55nA/EODCfL1TBWzL0g1isz2Y0TasqWSE/yDxiDJEZ9LoJBTcjBVsRCto+0ecAYYZxKm5y7pJFkwdiu8GbDmtE/OeDMKOapqUfRGdijFXtRGQYep0jLbA6K7l79y6nZ+fUTSfWDpstTdsw6mUwMmc5Ptzn3e98B95kxfs9MQmluypLXPBYnQ+MA92sCm2n1y8jAru+G9SLymOcp1djvkKvnUGGwqgozzpLN/TMqhntOCPQ72JQqA+YND1VWWFi4G/+7R/lBMcnft2v5cnrj/Gbv/97+ZG//SN8z/d9J6dv3GF7+pC2riULwGSqSszgnHOEIvDeD3z0MznnD/+z9u5/GTqAPwD8VWPMHwZ+AfgL+vO/APwVY8yLSOX/m/9ZL9QPkcVyzrd/7KNcf7LAuI7WtNx+7atcu36V+iTxyiuvcPe1l3jXe55j22Ve/Ootmn4glBXzRaCaLXDGkRcRhsj9r73Gjafexnf/zt/N/Zu3+PLnfpHP/b3/m4cPTggHh8Tgubu74OzsjM1mK4ZLKZFiVnhDhEvGQBkC82pG33dcvXqV+awixYHmYjfF5jnvQDeYRx8jq0zcFpvpZihCMQ1DBW9V9o5hqsZHmOD09IR+6FkuV7rJjNWj0OK6vqdS35c4DNMidRqEPmKFUkkIdJRU2ZpzksjCLJVdTFGZEqMAKV4u2raV9hZ45zufBWN4eHKqh5SnbhpZ5GUpGOhgCEVBEYQFVBSBthVGxG7XEFPmYtfyyy++BDaw3jskKme8LApM7DGx513veIbz0wfE2NN1Mmhv2kZwfSt1nAxUpQuKMalYx02pVqNb6Qi3kI12Nn6CLEYNxxjMkWKaOqrR9Gt0ynR2pOj6aWg6+utMQ0CFBgCKQgbN4jffykFuZNBeVoXw3mNLpywyq4PXS0uBy/ckjBaDL8vJ82c0hxufO2iI+zD0ymRyei9YhiHSdi3z+Yx+iNIZJPEV6hHLjd2upqpKQiGupN57hrbDOmHNHBxe4c79E7yraGPGPkJVHA9Wx8B6Naf0cwxipoZh0hYs1zOscVPxMdiBtpXDaLvdst1sp1lO13WcnZ1SN41SZ4VmW1YFVVWxv7fm+GhfDuCROaTairIsqWYzES72LTHK/C6otUk0kWTSRLUdi7YQCrIeeiNF2DlJqIuTc6yZINsU49SZjHTNUQNirGgLJP9BXFCdE4uMMFvwf/7YJ9l2O/7Q//SnqeaeP/8P/xZ/6g/9QVzwuM7hvXwuo8OK8b54q49/IQdAzvmTwCf1118Fvvmf8pwG+I3/X17XpJ73PfckD0/u0fmC5AZM8Gxqw0d/1bfwj/7up7hz+w7/0e/497l9+xWWqeS5q8/gti3NZoeJO8JwQuoHhrYT6+ar59ijNX/6D//3fOQDH+TZG++kKJZ89NmneOHe63zp5lc5u9hSeE/sexmgKkzjrJObNWcWsxnr9ZqrV49JOdKoD78yAymUtWGsKBatzdPBAZeB3k1bS0pXUdB2Hf0gHj5tF+UmytC0OybfHsUIAQ4PD/S1LV0n2HvdNIrlj+1rUp8YJ6IxYzTHdxS4SOBL27WC2+eIQXQPMSYShqIQ7Jck1WvbNpyenjJfzFQoFCflo9Fu4crRFdo+CgNC8WFrLe2mIRsdEFqoqpLtdkuKidOzc07PNrz48tcoZ0tCUYlvf1czn8/wBkzsePxwReENF6f31BohsbdesdvuCN6rlUOcBq7yLxlcz9T9Utwy+4lemFNW8Y4soH6QXNZLvr5e+1BgCqne61pogVahoLIodDiYp47CWoPTIBavG/flDW7U0uByIx9ZK8YY6l09UQvJ6vOk1alR479sLd5IwhYIVOG8m1hYfT/I3EVhh/HzParObkd6I2JKttvuZFiscw6jkON8Psc79UeK4g/VdeJaaoCm7Xj93gkmzEjZArrJKaXWe0/fNMznlsLnaWCeNKEshEKO6pRIlulQPjs7ZVbNpu9kNp+z220pc0FZFCzmM1KK1G3HvKwoS8mJqMqSveWS4ANFUVEEr3OMJBbYXnQf2RgyhmFIhKKa5mK7ulUBpMF4Q8oGYz19P2jgjiE78KFgitq0BpPUoyterr2maXSWZ/SrF+qnM1a6ObLmVnRYX5GwXJzXnHYdw8yyfPw684MFN977FHlWSspZVgGjdoBjotu/8gPgX9ZjMa84PFxx884pT66eZldvuXv3Pm/cPuH0bs2zeUHYJn70T/1FiWoLBWUIxCrwjnc8wy9+8QvM9/e5qHf4gz2xzD1csisKvuPf+628cutV7NKzOV5z6/Yr6oeeKa2DJLjsbrsj6mB3PptTec96b81quSAOA7t6O23O475rtFIgw9C2ANSdDK2NdROU4JxjPp/TNI0O3qR6bJpmgkMAxcklVs8ZqfLG4ZK14nA4MjyKspKqKSX6vpuYLn3fk4asKtWBma+UiaFq0jxgTMJ7K2wkxbhNNhO7AuDhgwccHV3h2rVrQKKqSq0oB5qmpe1amuacw8NDjLEUVWA5XxD0xkyrpUJiIqe/e/cO282ObkjcuXefO/cecvXxt2mV5qmMuJLGvmFROg5WC1zuaHe9WCrr+6q3NYv5gouL86kKHD2Oslb1GEPbieahadvLAW8UDHq5XLDdbRlNwfb29thsLhhFRzmLhXIIgb6P02Z69epjnF+cs9luJthuzNgdOf+y2dlpDjRy1kffoKBWE16HjYAqQ+Vz+LkwmDJirzzOhMqyoGkEsmmblmTTVG0n8nSNJLxFbIwH9SgatFq11rLe2+P09HSCq0YfI6OtavDiC+TDKEITxonYKEe6XqwdegqScRP7abxuxgCx5WBdMC8klEcgSJkzjermnBLGCbyZUxLodm8PkKraKYRVhEDftqxXC+LQYUjs763E+TWIc+xisZwEgwAuVBhf4FGIL4qYbVkUWOcprJ90Fb6oCIPAhUOMYD2L1ZzThycY66dhbx4/Y5LsbIn+TKRsJnq28w5Uo5NznoqhkTIMogKWQ1rWnMOy50sWYY4NAdMZ4v2GJ9yKanD0UaBlFzw2BJkLOY81diKGvJXH1/UBMJiSePx+Tnzi5PUCa2aY8pj1c56DbzCUTqLpuq6jHwaiEc6y84EHfcdzz3wCl8WeeegHilDw0ksv4VcrtsPA6vCIV175Go9aFIwUTMny9KQ4EJxntixYLZfsrVbU9Y6L83PKqtRBT6lVmTpoOqdUr6Sy+cje3h5DjFJtaBV4iTdmxjQjUffKl9m24rMvIdJSCU5VRNYIOkSC3ucBsvC1QVhAlxVn1s0mTlSsuq5pavGIF4aO+pd4x+gZ6Zxl6AYyhtdfv8Orr97kPe9+t2oFsmLvAjeNmPCikmSqYRiYz4QdnJG/u6lr6qaZvHP6ruXBgxO6PvPg9IJsCq4+/gRDjPR9y6yqMBqk9+yTjxG7RpTbWaqlrntkE8+ZzWYzDTTFI8ZMBmDjvEJiHHuKosA64VKTZch+dn4+XT/vg/rXiOpYMHX1+29bqfoGaf3v3buH85aqLNnudlr5i3hvDIwPqjsIqnkYYTQxeBNISdxeaxV+CUNLAtbbaUaS9XsUQdmAVf53VohxciF1YhlinaWqKjYXF5QKM43pXylrJRwK6V5HrYiVjAj7CBOo6yQ2tFO4Z+wi2rYl2QJ8ya7LRBPJiENtCLJRmpwh9cxmjjIYUhomkVfbDpPAT6jQsFissAh1ebGY6yap+oOcJ1bXSOuVA7nHeoHtCh9EEOjEf2dvb09tNiw8UoHHYcDPNMdBB7bDIMlkoZSuSWAagdL6Ti22PZOzac6ZRCYlCTsySvGJCmuN16/XOdzI6rMjzdReDv0Nhq7t6aLCx8aQtWjAGCKa8GaEfOEXlqizPpnpldMB9lYfX98HwK7l8MGGg2dK2vlDknNkKoxf4vwCa0oSDhcqnAu8+OJX2J6fcv3q47z9ybfz0ktf5bHrTzJfLHj11m3aoeed3/A89x48pN7tdOKfp3asa1upinKmLAqqssDmyJXjK/SdUBzrnfjeWANVGXAGCm8Fq8dOdLi63snznJe4SWvxRvjKExPMinOrd4IhD12ceMf9NMgLzOcLxe+lFRc+sZP/GkvKqG2wIWdZtM5YhmbABXXOVJ0CoJuj2t4GrzTUQdk+9pKHbgwPHjxktVzx7LPP8PRTN4AxoDprZ5CI2VE3A7du3eLGjRscH1+VxaYDUhGIZXxRYLSKxQdefvkWm10tplgmYIxlSDAMiVlZUp/d5/rVAw4O9mk3p5RlYEhiPeCD+LgEVSiLgnl878LEACRYxzgNQe/UbdNo5S8DvJQyXd9ijNUKWA5kr3bMg3ZnvWLUwboJAx7ZUEMUBc5sNhfRXBRLhPlsRtM0WCszlbHyT+pWGZRy6J1TSEkO9xgTZaW6jZhIVnjo4tEkCWYy4PYC4SikY7IoXI21ZCeV98XFhbrEakeQIpUvIMs9Ie9PBtKP+hLFfOk2uVguaepGZkXZkBJ0fSSZQDQVuIALJd5IQWCTzJ6ChaFrqIqEA6wJMi/Joh0wwHw+o+s6ikID42NHikayd41F931OTk5ZaL51r0wqQ6aqCh577BhAq+wR6rLTIF4uaxI7Du8nbYTRbnxS5GYNQ+LNA3tr3ERWCMqo6js5DLNGtOpQQHURTl7bjDoe2dNiEvooCu9a68W00YiCW9bLgHUGn5lmetEmcu6JscM5wBiS6gaEAi4mfLPZXPyy3uLj6/oAYFZwe1tw5yfvs15vWF91rB4vcPNA8g43n2F8QTQBY2Y8/64VOV/F2Blt13P8trfRDAMuRvCe3WbD3fv3hFJmhcZJzvRDL4lV6ow4K0vKEDg+vsJ2t6NW+bZzMsgrq1KSqHJiu72gbT1VdTkwq4oSH7yGcYvKz1sPWJLinn0n+bmYrN4dUqn7ECZaIgjmLLTPTr3otZK3cmgZvbGKMkyD2H7op9Bpg5mGeXE6JMaqQfz7U4pS5XQtfZ8m6uOrt27RNi0H+wcCAwTJke06YboEhUpSNlxsNrzvfe/DGKsc8WGiD44Vb0qJIWcwlhde/CoPzzZSURk/UTOtBW8iqa15x9PX8c6w215oJZU4unLM5uJcMmlTUvjGqbLUgBNYZb1ccnFxroPZywQr52Ug32nrnWI3QTnWjsN6Q6OzgaIomFczttvtZNExRLFH2Nvb4+LiQiipOvBraqmwE+IdtB0FZ8NAVYnrqCxYqMqSuqnxPqgQT1w+Y5Kge0MxDe4NRn37ZYON6VLAxjjy0crCWqNDe7lmo+lYPwz0fcesrGSgbN4MA433V8rCe3dqpMZ4iCgjaiw0kimIpsAUM8HQU8ZZtRDR+7lttsxLRxFkNtO2HSTNOIiab03GGEd+YiIqAAAgAElEQVRKl5DJ0A9qnyBTtZOTE+bLxURFtVbuJ2dhVhXE2CvbSRTLPpTIrq8CRx+mXONRrzJfCF2y63rxMEoCbVVVpVV7h3XSbXRNJ589iIdRHHqp5bWbT4mpexwLSqPrLKMHkh2T5HQ9ZPm+ReciLCnjHPNVwcc+8SFev/uA3bZhu6s52W3ZtRcsC4tpOz08LFnZeCMykJQa/VYfX9cHQG53XLQv8PiTT3F+05B3juGNmm18mc53NM5z/eln6I3l8Oo+q/2eYjFwXtfUdcFsfsS90zd47c5dtpsNBjXZstJeD113iWcmCc+4+tgxVVUCibPzE+paWBOj/N6qFUNT13hrmM1mzGbCcS5tYAgqiU/QDo3eJEziq6jshagJUZNwy7opFlDUwFwyUKylKkVVOral6IZZD90UiiHKXB7BnvPkPY69bNvRPy+CMytKVISRMjKMvPc88cQTEwY8Dn/btmOz2dD1PaenZ8zmM5599lmuX7tOryZUm82GlGE+XxBTolH62xAjr925z937DzDGifhMrz85UwSLy5HrxwcQO4K/zMaVQyly984dFpoh0PeyWMUyuxP2Si/Xd7O5YL1as9uJu2WvPOuRy+91UJxzpvAFuclq2ywZCT7I5mysZbvdymxHN0nvPNFkzs7OtCrvpustVMgwwYohFIy5sePzxjnBEIVpUxSFeNyo/mB8n5PpmPcSLl8I7LRcLNhsxWQwJYGh5IApWSyWkhSXMkMehWzC8BmH8cZItzvSZEcoaoRH5rPL6+hUwFQWxQRnYSy7NpG9GLvlPAqeVKimG7HNHfv7S4IT5tN8Pufk4UOpzL1co6waAKcHm2eEgjIxDQxDR9M0rFYrjHOYoFX60DP0SP5uvhRSXrLbsrrHCmNnSBGHAStwidHOB9D87LFIydMMZfxOU5SUMaFkD3J4KZNndOu19tJyY9R7TCI5FO5VhGBkkBnl51orGgH5DiCmgfk88PSNY2ISinHMhjoNrCtPSJkuiYvAbD7nMiNarv+oY3krj6/rA8BZi481D+9/ifXBYxgW1PWc2fLtLI88qfJ0HXznr/m1DNbx8muv8eqrp6z2j2iaCx48uEXTiBWys1Z52IahE1e+1PdURcAWgYPDA/bXa7a7LSPP21pPSjWGRBy6ScJtrWW1WFJVFUVRSCXtrAqbkhpoSYas1YFPHAZinyf6FzlPQz1r/TR4NMpIyMpaAaZBodyXMqPYNg2FWkhLdQGSgjQoR129z/OYPiQsEKuJcSPDouviZIrlrATIdH0nNMQQRGhmZIGHcoYvKqqF5PXeePrZyQJghAq6rlfBDuzqmrquaQcJAXnhpZfZ1Q3OBozJZJOwxlA4hyOxnFfsrWY0O7FwiFFbYcUAvHfM5xK0PbRiy9D1A/0gFMmmkYH7arkkk9nutjIw1ZlAjEkhmu5NB4FQQg2lr9TNMtP3opIFsXsIQSAkoZYKc8nqAncTlVLx3kGH8kEGiLPZTLqrrpNf9/Le5cDwIj4rymmzd2qw1vedQE/qYWWspSgdm+1WICZGiCBpPnPm7OwUsuoBdAOXDVHYRU1dT/eeMUKTjU2jxoXCkmrbFnJGiU/ElKTwyFkOq6YnuwobZsQsiVdTmtu44cUe5yLOCCQz9JHzs1OBhR4ZeDtvJp3A2AmmDEfHV3jqySe48/rrnJ2d0rYtbduwvdgQikIYTKgNgs4siiJcdnN6z44ssVEJnOLA6Lkjn1Gq58u87HQ5oB8G8dxSEoRBaNJtHKTzzlkzotGCKpN09jRV+kA7iH9TGlk64/rMTINfHzRroazG5onR70l0FrIrrOYC8fRWupqi0DS2nIXhpMXlW318XR8AMcNXb73Os89c5+adL3Pj8RuE4DH1PptXEnvvOGbv2hV+6rMvsVhK/mzTe9545XXF6aVF8tZS1/WEb8rNkJhVJY9dvcJ6vaZuai62G4liHA2aYmI+m+G9tMppiPRqkNYPPT56TDcKsqRCznlgVs1k0UTxw0nqD5/11A7WMcRx8xkEE3Wo6EZhlZRkqJWZMN2uk2oo5zQNfYKGTFvrxE8Eq+ImN8ESwxAfCVJPQJrygq2xOMulM6+RTuBgb583HjzQNlUXmdPAbsW/5TpIuIXgqr3mqIpxXNcnbCh5cO8Obzx4iA8Fzo1hJWKQ5YDCwtHBCpMjhYOwXNL3nUIdsFqt9PtLk+HcYrGgaTqatmU+m4kVSIwsFsLkMUbFNnGYGBajqtVPrAmnnRe6uUv4yGgMJ2KgoJDRpQd9XddTuLez0rp3fafe9Jedlg+B1HUCu8xnpE2SDs3aaUgLo9JXPYPGzcMHHX4mgi2o5iKMkkGyBzWtG3HjsixodrXoCZpm8uxPY76zEYX42EkFjQBt6loGjGpyNjLQxPCNibMurLSKPgK+AFMyZKG3ulFABwi7q6MMmdVCfaZywlj1rcmX7qUYpiG+0uekeyVzfn7B5z7/Bc157tlut8QYmS+WwpRy4rtkrZsGqmLe18rwW9l4jcK3ArnIcLXve4qinA5siTz15BQnrn9KIw1biR2qHxktnhnN8/Q6Re0mjXbLY85BrzPF0UdJzg05FEcixzD0Si2WazWkrF1ap6aPst6GHDk4PKQsS4ZH2E2tMg29qs2t+9ckESwUJe/+4K/icK9gvViyv7/m+PCIO3c2rFlxvt1xWM44Oz/hZPuGKFezeOKbDE1d0zS1XLy2xamQyBnLtccfI3hH3TRs660OnyJOF1bOiTjIwHXbyOCwbSQucLVeCzSBVNZt04oqMiZR+yWpLLwmdGUB6HA+4Jyl0QxjGeiaNyVnjbOInKEqC9xMAjja3VbggrLEaHsqys5HoJ18aY0ghl/iWT56DhnETXJ0dxQXy8vFO3qfhBA432yE827j5AI6MmomCqG2nCPd1OiCbruepu154+Sce/fuE0Iph0dCB4gZZ8Wz/2h/TeHB5gFroWnE2nY2myH5BQO73W5ie9Q7gWVyyjjvcINlt9sJhzxn4YcXJUURxOBLD4dsE23T4oNXdlYiDyriUn+ftu1JChWNGbuP8vOTLmyUk5+iXGdjxMtltFoAJhx5NOmq60YpntJBNI0wmEYasBwoMn6sdzucF7uM7W4r0Yxdpx0JuunZKbO3qoRJFGOErpP5UFJn0LGiRVheSX8uFb0ohduhnyAxm2UgPb62zBhk86ubnuRmDCaQjBsHD9NBZI2F3OPtQBk8zjIVS2VRkLPQOsfgeLJoWoaxSreWUbeS0iB2G+TpZ/O5XGNQp1zV2MidbfSQdvggs7aiKBTfF9ZRVZbkjFq0yKxn+vu0cnbqz2RVpT2urSIUk/vuoxW60QNufP/eO4weKlH1Q8L+k+d7nTONJodGD+qmkQJ17MZzEmGfCMg0MtYZrhwdMjINhe7s2Nvfp++6afb3r8wO+l/2oyhLnn/vBzl54zWuPrXHrm4wR09R+Jr1wSH93Td4+fZN6lb8TEZzpSF2xEFEPqkXH/hVVVAWjv0DUQXWu1O2gyRdhVCRiQQnYdApyReWcwSsbvaGxXJFEaTt6jsVySidLRRe83vlkvbDIO9XoQfrHMEbmk7a7ZQyLkju67ghG2swj6QkdX1HyhEZpjVqHCYshoRg/TEnTDbTJmWshSgbWygCxipLISeccqRBqo6m7Sh8kE7AitdKoTQkyXyFIsgAztlLXrjLblr4Y+XTtp3y7AdizLxy8zU2dYvBMcQ0VcY5R0pviM2Wp952SAhCJSxCNSlyyyLQNI0qaS/tm8uyZPBRvZkE3w4hSPfzyObctq1m2orh2RiR57zOZ0ACZwzEQbqMrmlwziv9Mk/mcMbIUHEMHxG2ilo+Yybeft8P+MCl7bZu0GOcZRwiXnH0QZXBwkySzzzESwM20XOU6vMeJjin62WjLkuBoIQlJPBgXdfAZTj4WNX3ak2RUqIdVKwWdeCZk15D0ZtYh0JDl6I1q9TJIULyM3pKhmx0A7xUSgtw2dFsH3K4nmFTpq2Fbls4S06DYuaX2Lg1GiJkIHbityXfo9MsiJmsa2soCj8dwjmPHB2DUjmUzDFMegJj9JDOWaI5c6bvJTcjK/YeRV4uYTwhUJhCCzn1A1K2V4pRcxAegQx13bqp8zYTtDbOH4yy/ULw03cuzCaIah4ZigAaazrESPCq6naGi4sdddMzXy3xRUHOAwvtjrX6AoWG+r7TWUeeure38vi6PgCsdewdHvH49Wt85YUXqZtTzjrDWdNy9+Wv0bfdlCfa5qw8XsE2iRGbE8Fk1usF6/UKa6FudqSk9L2YMJ3EAlqlyZFlgNR1zcRCWC1XatcqJ7wMjexkCNd2Df1GwtaTDvaWyyUxCvNiVEM6YyjKgu12SzO04oDonUKIshhgNH6TAW7ftSpsmUmyklr+YkQin3RgNfoLyZd/2RYPUWiTjzIFJEwlTsEYcnAIHKIz36nCjbGf/Ol3uxqpyJROGCPBixCo70UItmt7Xr31miqgLV0vHj2jf8pqFjhYLnj6uec5OXkDSKI6HnpKDUU5P7/QEJCWK1euMgbm1HVN07YSrD0FccNiseDs7IwxD7XQBKrRAwlkfjKab435BONjxN5TyqyWK0m8UraJsxajFfP4vPEQyKr2HSt97xzt0E4c/tFZUmAe3vTnYxYrjZQT80rmEqMr7Gq9YrPZMp/P5fDR+ZVsyml67845Li4umM8X0+ElFiTQ6MFivdgnC0woLDZjDF28DCjqNKKyH/rJtTUrtbUIJU2fiXhiLsjW4RToz1m6TZMjhsjQbbl6tKYq5ECu65phYII13cQa0/zqsaJG6NGkhHGyDuXQipyensi1BuDyOzNKfYrIYRJCmLyMBvVwGsWLQpxQh1FjSVkouj6I5QNacaPft6wUtHtSuCp4gg8ST6nXcEji2xSHiLGQYlb6b54qeEkxHN0ALg3+kh4EwyCbeSZP97zRvGfnPIeHC4EMi4Cx0hmXoaCY5WmWNcSBoe9FzKbr8q0+vs4PAMOrt18H5AbElbx663Xh3ype2Ped3OCt0DOdtRTBUxSlyMQXFf3Qqpjmkqkw8sbJWStNcZ9Esb+yCAzaVnVdg1gpCJ5jjVTQY8gzRnj0BsNivhApvloCAFotR6xupFVVjrcYWr8Qh14Pgyyh9HHA6k09btAj1XHMDBgXs1HqnzViq0zO9JpE5oMcGtbI3zFWmmVRXA6QlKQ83aDjchsk8s8ic5HlcsFut1OlqITB5AzBenZNx9devUUXDU3bE/8f7t6s17YsSw/6xmxWs5tzzj1xm4zIiMxqqHIJ20KykAAhIQu/gIXkB+ABHrCxkV+QhXjC4hfwiC3RyIAskLAE8gt+QKZHCIOr0pWqKpdtqiojK6PPiLjNOWc3q5kdD9+Yc59MVxM4hRSqLUVGxr2n2XutNecc4xtfkxcyQYTOjwYJ+6HHz//0u0hhxuH+TaMV9l2PZV2x3dAb6HQmTZaMljv0/aAL1mPf9To3CY3PfTgcmhq5bnI5pTacZaVueRjp/bd64Ncql4rViMPhwAGuY6RfTAkmX0R09ZrXjUxEeBul/EgCmtONd12WZpoGkFZqhDxwA8KC88zAm1hIIz4dqc+gTYWGhWvso4gggvOL0+mEzWbbqMzzcpnHZCyoXkzeeRwOD9xU04UOvK4rIGi0X6rGI6rVdSmCWCzmBBg/IBt61dQNjJ72BZCAkhZc73pYFb8ZYzAOGhi/6oZceKiKdphNJYyKi5dWaJGhRQGn1TzhxzYaBaUuHXWOXQi1lALnOONpGcWZg9aYIiTnZp0OMAUsxwRR+nXvuO4hoCFhpn+UZHL6c4yKMiREJVpAu+bHnVNVg6PQ9mTRgT7dc4c251uXmZ+5GKSYdc0YfPTRx3j69CliCFhjQDoBw5M9vv+99/H8ao/esBDtu54mkzEhLQE1aP6rvr7WB0AIEa/e3MM5h4eHB620aMUbVa2bMweazhiYnDGOPZ6/eAZvKZAJMcJYD1tKE27kGLRVFIS0IkZgHBkGYQ3hk1wyrC1YlhkpZtiuA4pRhgR9T7zawTrnsR93qNzeukGUUhOLrB40ZKxEhaV0NHCR3IMMCDt0yMWjJOaIlgL0A43mYqwmUhe5PLFEKI9eYJ2Bsz1izsgZyClgzWQcVb5zjdOzGgWZS0ZOQYdSUQUyooyNgOPhiLBwmOmcQ4HBvARMy4r3f/sDTNPMiMaZTpZd15H7bQWdFLz3zgukOGFdTqRlJi5sWlms6HuPh4c7bLc7bgbQwRoo6vJdh/N01so7a6seL1x3oQirerDkXNB1Oly1VmMy1YXTGizrir4faCvQ9QiR6W3OqXNooT4jZcIGwzBinpjhQBggqaLVIuaEzWZHIzFvsC4LztOCfugBk2kLPfTq8z4rVs6uMKxM0KLGIjcFuGhwCSB64F3SrXIpKt5Sh065sGDWEJC1kq+WDkkZN9zc2VEYGBinkY9aFGS1Mmj0Rzic5ozid0gQuuDKJZRISoJBBMKE7YZWy1YHzpVzT/2MU5KBKotjgBhaVdffzc43aZXO8ihlBu9AOEuo6+oxnZmQENdS13kt7AjVrWnBfn+FZeE8I+pAu+t5L2j9os+aHnqTfm2dDaWoFgsqFhvUhbUybQo/Ft+PXpdcqFbu+h5BqeZFRF1oXTPzSylhMNt2oFZ/pnVZ8fzFC54rdT8ByRsGwN2bewxKP40po5zOpCxDlGX2yCL+93l9rQ+ANQScpzNPaL3hMWjObsW1jcFuM6KUjGfPnmK/3yLmhPNybsOSpBWACAe5ANs7AA0Tf8yZTylyoRqD/X7PwWnJKFlaO7vfM9ax73ri6fOstFCvLTsa1Q+FHu1ZH1RSRrMap9kLdg+aQ9VKqJhLhVSzV2vZI9BqRFg9rSs7iL7vL5S0lHW+8MjB81EiVUoRIa6tA7LWwmmebi655b6+uXuDzneaFJVQSsR5XjAtAd//wQ/gXN+wbWstxnED7yykJNzstri92gA54frqCvf3d8TyY0K/7Rt/fV2pYjydTkhq2VAtHLhx5ctnqH/nqiMl7R1WNU5bl1UpgbwHbUBn2TFsNjQ0q341KVHG3+niXlc93C03Vj53pHaejhzKivXw3YDzNOHl63ssn75k9WmpAxiGAcVwhjFsdig5ISW0DRalUoJLGzqfzyeMCvtYYzDNM8ZxBPBIfR15KA3D0PJ0SyZlcVkWHqqWSWuiEGJKHNST/dK1azDNs17/UU0OoRYbK8T2OE4BfrxGlLoileLIBUPoVDKGwWMYlASQNPVMu6bcKn0WQ/VAKLomqmVJZWnlOlQu1U7DNLKByMXpsg6eRQAp9MQhk0dV3NY12w9oYQZA4UOFXY3OL7yoOaHR6E4ok8jQ9K3obCfRp2uZF2QUxELIyljT1qazDgKd46E8ouPyOSJFPDd6af2sVTtgjcHheFBrcNrOE+dHozTnDLx5/RqH4xFvv/02Si5qNZ1V9/IHhAWUUmrYq+h/B80p9Wrn2nceL168UIVlxsPDPbzSIxmcHTUqkbzZmCK81RQoaxsVEoWhzqKYXacDOxFt2w19xLuO7nu1A61qvnqQpBSRs8Hh4YAQGXFHrxaNfLPSFoMxNXJPdKMijawUNHxZgEbjc8Yqxlc0NLve6AIUr4EbujhKgTRVJoCKmeoAsA47SyFHmg9qVsiCVfXpfIaxDtvtTlv5Cyvng08+wcPhxAWLRQ82h+1mB2cNEBc8u73G7c01EFdkkIXjtdUGgN12h9evX7WNreLlXlWqIoKUM/b7PR4ejggxwRg0ZsRms8H9/YO6ZybOUJTLXl91g6fSNKNTYZa1DkWZRTHwPpFM0DVZfxUJQgTZ0M3SecfRo+vx8s0DQ+JdDz/0FE+h4LhEHKYHHCayrHKKKDFhv99i7B22m5Gzllwadr+uK5O9zmcOtq1FJ6IMJ68VqW6SS6UXc0YVEq2dmdmwwONCZa1Mnr7r0fc9zueJegBlq9UBcUpVAZ6QsmCaA8ywRzauuYbWmEMBaHgWJvSjI1vNMrQmJw18sQKIfWSbDeTSThIIDLwfIMKhPYNycn1S25C3Vvzb3Ran07EeP1x76p8lNdO6kEhh63yC0+G2vqDYPNS8TXQ4b6EEBQGKMY0Km0qBMxalpIo2wXmPJQRshgHneWZXkVRzI9J8nWq34hrxoFw6jpIpPG38fmmHQALvcwFpndYIyrogJC3whgGyRvRXV3j24jlzE7T7H8YBzjocDoevvMd+rQ8AUe5ySaSSpZjQOYtN38E7i7fffgGrXO+qKCT1PqsYJ6s4qiZtraBFskCkoOvYJospyKkQOlF+t4NTfJxVA0CfnKUmM6k3DCEE2tIaYwFVGt88uVU6Jyf62ehnqfxhy4c25YKu6xXuyG3DJlbKa1CZEKVUiwA+3F2bQQAQZqDym7l5GWOQYyYvWQ8644xW/kEHVdpKJ9FDjtzpZU06DFRG03nCw+GIw+mIL798qRiqDuN0eZQUcbx7hffefQdvXT9BXCY8vHmF/dUew2bENE+Nfy4iOGqSlFNYo2gLu4aAEIIqXyPu7++x2+3xWF27hoDj8QSAtg3E7ZlPEJQr36qqZpBmUaQ0ptBms2msklX52gz14MHTddzYKjTU972+t4KPPvgE3bhBKAKbq410Qd/1yKW7iIdEAFi4fkCAxe3uCiIFOYUWsnJ9fY0QAo6nE6pT7IX95Am7GAPnHU7nE0ZVP9NLR1QEN2McmX9Mlar6yut7W1Z2et45Za4Rww+BjCFqJjIAjzUL3PaKIKWgZU1DyDgrOWCZ7tA7buTVm98Y+j8VMfxHF3H9TFVTEGKAcR69zqAgCdbVPGZds5WkYZhfQUYdh6kxXyy0Y6Qat3aHot1ULqpzUZ0GobzLYVZV2W1MB2ZvkLojgBgMG85M4lqT2ZiBbZwDDOdGvQ5dszoChxjhLYkRo/5dDamBkjSINBQAWYkk0ixKAMHTp09RUPQQL4gFsB2zIHrrId4irDM63+F8PCkLjQyxdVlbONBXeX2tDwC2rgGmAIP3gPfwzuLpW7e4vr5Ww7VA7xKtKp1uAtRZkFlTH3bkgrFjWpNzqhA1iqva0vj3jf9tL1bBEIE3xCNDIOQTokIq+vD06jdSQRqjFEsB4Ng3K27tcTge4Xpd3ACMcKPRb2VFrZXEYwsBY+xFlKJsIbbuRodRaNTA4+nESjcXdJ1BgTSWgjUWqX1WVrnruuLh4aGlMT0cDpjnRQ2xDD797DOsIejGVhcaD6TOM9XqD/3st7HdDFiXM3IO2O22KCUhpkfVn2LZ9Qgh6ybBOeogKr+a/Hx2Vg8PD00rcXlP0lrurh8QNOTEaicEoA1fgYvfjYiQY386qU9SbgschRTQ26dv4csvX/L56DqENTQ+/cuXb0jBLKWJbirEUNlVKECW0sRXBglPrq5oXdwcRy0ATxfToQfWy/utFuPk8msngoJRq7w1rEhrapv3drcl1t1cQwmxcGYiDW6KKSHMPCD7nsP33mtQfDFYs6DYAUJvtDZ4dU51EWlFwYreC7abQVO0HuHyQt8lHjx8hnO6MKh6hWCqPoHOp2Tn1Oe3FIt33/0WSgGOpzPGccTnP/wU1lRNAzBNLLzE0Am2emJZUTqoqWHrpb0/rkAg60yklKx070obhQoA61ole0jMZbYXFYqEYUhTHWZDz8hek+d2uz2kMMmvuq/WZ38N3KSbgl+hymqnUQ9Ta0gKEWsQTcG43cIai+P5iM1A2JUw4aCRn1yT1ZLlq7y+1geAjtDx5MkTbHcb9X3hJplyQDfQv+R0OsIZDpe6vkMMs954KvtyZmwjpCCkCHnEBkIuNP4qhcOjmOClcsE9IJdUpzq5z7pxDoNHDf6AVjwXHvJlQaBwQYSg7BWbYV0P6OKBGIgF+nHb7KFrpULJeM0PuJzsjwdRYgyMLtTKya9JUIBoelNWv3LCLGIMnDGw1uF4POHu/iXeun0CMQ73D0ec5wXn84TzxGv56tUrWMPHZTNumtAsrjN2vcPzJzfYbp4CecYyqaNq3+HmyQ3u7u4xTYQyCgr2V3scHg5IMRLGeXjAdrtDLcdyzvDOtxwCawwERi11uVFUMdiqoh3n2Qkuy6o2AVmjNllFVx8fYrqcbVyYQ1S5xhDbQn84PDRrAYDMLaM6gBfP36I6swDzvOB4PEGcx7pGIAtSZCVHmw4HKwXPnuzgvRCqQG7QVN8zROYxtbMymVpVjbY3IqeEB+0U+OcU5YUQ6JEfOIsRoBUN7bnNBTkzN3fjO8zzxOscM2Jh5S9uVI970UE1C5ScEiStKHGCswXd0KOzrmlW9KFHi9AUo4cYDyMpjyBczTiIMSkMalohBACn8wnvf/99dcEVHE9HwpeFoSzWddhdjZeoTCFEGsOKGOuB/0gzoN2wEVI3qy14CCwYxkGLkTqINYRAU84NVsQjCi0dBjI3/brOdX4CXDb8OtztfNcU6dVWW4Tdm1I62mfn96QLcyxnCjtzxm6/Qy4J5+lEmBWkQOdMxtv5fFZvqT8gQjArghfPbtF5j2k+4XC8p8qz73A8J43IY8VvdCgT1hnOGeQQKJSw3DhjDmSeCNWzKDXAQV34xMJYj3HccHikjJplmWl7q146ztH5M8bSwp0raglc2ADV6AnlwjmvYibmqCrdDbktsiKc9VutgKfTGSGu2Iy0lqhh4oIa+1jgvEWnQp7q206RUY2tI5zB92QINT2qiB4e7nB/f49nz5/jo48+Vuk8lKMEfP7FF6jhJmIMzucT+ccxYDcOuNlt8OLpNXa7jfrMZIzjgGEYcDie8MXnX2BQTL4eSqfjkddSW+TNOMJ7h3me8Qu/8At4//33sa5BB4aKIQMwVh9XgfrFs5p3XhOXDD3URTMiROGfOhOhIV1sSVRODcm6rmPQt9JCc8ma6kSMNmmMYieVLCDaOTr03uL6ageIUQjB4nSicvl4OmG33TKoRDiwjIUq5L7ziImxnUykMj4AACAASURBVKQLaqWtWoaSUttcqWkIGMYR0/mMvuuV0VU95vmcTfOMsK7o+kGJC6VFkwJ8RCloc+y0jNHCwCPAQXyHAl7vylICoCl3GaYEeFcgkrU7LajZ2OO4YRep9Fz+vW8D9voGnLftWa1pazRao4iLxIsdRAyWZcXu6grHw7Ex0rJ25yllDuu9p5o9cfg7zxO6vueaEHLz6/FZje+MrXMhdih0B+WssCjDMGfmf5MhV5DWzEJC9HCOmv+r94f6IOLwCj+g1AJQROMe0eZ2pe4VuehhyzYkp9zEhWIEFhZFBL0aRVpjcXN9Tc1Izjg93GO73WJZFwz9gIKC0+n0lffYr/UBQKyStgKEebghGyMomW1+P3DIlXRxe7EMYgfaULEUQIyF7zQfN6mYyXoOFsXoRVzx8uVrzQllTq6vjIHCyiGlhMPhSLxdbKuyloWDRAB6d0tjL9SvAdBYPbWCA5T1oIeAVSjHWatCoYtM3lpaRNdDhxtaRjzTJ6cGZ3Rdp+Zg/DqAGGiMdXhNSuyXL1/ivXffQ9d3eHh4eISfAl9+8VLzYbdwnoZl5LATP//Zn/0ZDF6w340AMg7HBw7udPc4HdU+WdRaQGg9UfOF9/s9rTqWGZvNFg8PDxjHEe+//z6MsRgGVjTrUiETbti1cp91oBxCaDYLOfL3G2Nxc3ONh/uHNszvOt7rt25v8erVK3YP66LMJ4rAKoyYYkLRoW8pRX2HZqp9mw8/OfMAENYZm90W6zIDMNhvPFAcnt7sqD9RKIgJWaRg1sVudABstf2POaGzHe0TXIecCgqy5i/X7oBV7uPZRljX9oyFdcWyLKTF5oyM0szOpN7/hRuedSNCcUjGQwoLGecdatkuBTR0ywuQF8DSh4lDVmpnOr2v1lr4HxM9WcOErKqTySnC+Q7O+QZHVtijyCWAJmrYzvFwgHMUOK0r8xJyobJ8ULilHiAAWsZvJX5khTtriV11CDC2+f5UGqoxl/AbI4IsBfO86rXmNRmGDtkx74PMHNMOL6/5EVYP7taBVNFXSNpF8HAlhZm/uw7LmVXhGjtIDAs3EcE7b7/NwKDaFStBpcLeXkku4/gHxQ3UGoybHuuq7nsQRKzIGdju6OXtLClkEMD3Y6tMcqEzZirql12gcFDSyj6gGNosG72Y4zBgM270YeHNO5+OTWSVRI2ejEFMxPOniTxuKCNhs93SfKxihUrhAyqVTRrGD1wqCADt65dlwUlx/5rZW4eugLQBWA0dzzm3nAEoiyCX0Cpa5gs4iAeWnHA6nnA6HfH0rbcatNV1HtdPbvHm7g7f+973STwTi5Ay1khDrWWeISXjresdtr0ghBnrAszLrNWbxe7qCSvCrYexDufzGSGwCoxqMew7j+PhqO+dMIoxFudpahbOdai33W1xPJIBdPE9Ypye9x1CiNhstpinCZVOW9kuFZ8nLEio59NPP8V2u0WMEWNPq4G7u/tWZdef4ZRHXxXF9LJffqzq00Gz0wOyvyRz1QH0drtpbBwRms6N48juLCdkZakw11XgdfEP44AcqfL0uvGfTieNF4RuXAZrDloJd2qORpO5vu+RYiCjK4SmwiW7hO6m0xyxJkEyFwim4MIcEx1U9l5QpECKqDqZAeaCgu2WWQB9P7ADWBZWx2rcZxpzqLSZje9ogVKHoYS66qbHDqsY5mrHEPH09glubq7xyccf46x8dw6IuYFfNtqErieDLKWsBVhBUTdVo9V4rri86k249gxiTuoxJK2QgYbWGymIa8ZcsmYMk1IcwsqvUp1DSoQ/k8KOhMISRDgvy4mhNKbagzir36c51SGj0ab0XoglQ8k5Cw+D87LCOQ00etTlFp1bdOPmK++xX+sD4IJdZojxZL70G4ybDfpO/fFTtcWFsmouWa3M+zLwtqY+kQXU9z1KRxl4CBQupRRhjYNUnL1kzPOkboZom08pQEwUWBVI446T3qiWAcrJrthj3/dK5atGYnzwaiIXH1QmRNWBLw3cVHSDKhTRiVFmR1LVqdWgzRijXGoeAtZdhkrLuiLGgPOZYibG6lHQdjqfMS8Lfuv9H7Bi6np43zdslzhoRlknvPP8BaxkGI1qPJ9P6PtBB7sdtQDG4nSe8d5777WUq8fhNKIHKYSQTVQ4oAA4nU56oJL9NC/0wbdOhTPDgHlZGr6Kwm5GjGAcRhyOB/Wsvxz4YkRDRkKzYqgb/PF41ANbfVmUlrcsC8VVviO9clnUfpddR4UG1nWF1Q11XbkBxxDb8xuUNUZbBY/9fo/D8dCGfJfurlaftHLgoFCYYyCkmHrvtVPgoHU6T+0Zc841anMBUHTAWhk81Sgs6SwgRiAUh+w6ZHCGVGrHrJRlKUBOC8Q79D2f/3EcGDYfIwy0+jUW5/NRu8Reh8cJvXftQBGpehetunXzL+WSf6AhWej7AbdPbvHw8ICH+IA3r7/E3ZtXNAkcBtJt8yXms0I7Xa+pcinCiKU9iiqMeT8qFVXZRiiwQqEd3WTrpo8G30IrdiP0I0LOiJHiO0FGyQx8ivniKkqhHX8Gh/DsKmqmcSkRJVs17XuU0ZFzm7c0rUgpyEbw3rvfQuc8wszcCOsEWUSHv+xqYmQx1GmW+Fd5fa0PAIDxgEUMcqbTpLMCIw7naYIxOgSpw1LRODbHhcUKLTR/cwpsaJJljaEaMKlyVDchK6I4OTnnkDqYKViWyKB0fbgUfAVAl03RQbA1BsMwNnO6Ki4KIejiohGYG0eg0LeebpdO7Z2lDUKhlXA1iGLFxM9b2U3WGnRKheODXAdhRQdzBvf3d1S0jgOqN1AIEb4fcHpzh48+/BjjdqeJVKTKAgWSMyAZb731FFcbhxxmeEMsebvdUJ2rmHOD3AA8e/YMX3zxBUVdFQITNOdLMWT/1PY1rAExBc01vWDi7dADO8LT6YTNdoucs27SbM35vi+CG2tsEz3VbNyKOVdooiqDa6B2aUN1UbyXzKgoFxy9vv8Ldk9xYtHrXitsJF7/Cltx7pNQVm5cndpM159rRBBLboN276kE7zoa+NH2YcQyzy0O1CqGDwD39/e844UqVHYFTunGGcMw4O7ungeCCJJ0gO0B69h1qLYCokrwEpAQMXTMhZZisNXfz4LMNNVuLkXtyTultvKaC+i3Ux0/Ac59iBQqk0yx7moWxw4m4KOPP1T3W81k0JCkZZkRY+L6MpoBbg1yvmxl4zDqmqHjaSkXZlxSFTw0J4FdsqZz6WC+Dr+r6DAnFbWVrJ2bznNUKVy0eyIxgdemwlS1w2EqHVdHjAnFZpSQEbWotNYhi75PaxHr+ykFJQOffPIJrDf4qRfvIMcAUtmbLK9Zy9eC+au+vuYHgKBYj3VeNJ6Or5SJ6eYcMU2TWrLqzECpZ7Xads4hBrZyPLULzZwKVP1Y4CxxNymXVjKXKnwht1eMpXxdlC6oGwfTt2r2bYYprLKkVvs500vHGIzj0KppMQXLfNS2uEBgqBZVLNKrdB9CZWkA/YQqqyHnjLAs6IeB3ifKtLDOwpSEw/GErvMYeo/z+YTt2HNIqUPOrOyjX/27/wCH04RcDMK8tkFc13Vw6uHz3jef68Jc1UCLGoEYietO04Tddod5WYBC47P7+3tM08z3Yw2W+ZLBmktBXOhSaZW7DDFAMWqVPMP7DvMSsN1ucDgeAe2ynNMsVqXXKg3kYomhxVTFYTcjuwIKf0wLFD9reLtzFtZrMLi9hLVzxsJN0T3ij1tnW8UJ/bukA8OUVi00YkvfmudZN3puYAxL70iDVH1Gzhkl8dBKWghklfPP84S+84TGTmf4zuN8PuucZICxnJVYtS8ZNwPtB3JCzICoqvh0PPHwkw5zKCiOBAoR24RMlU3jrEGJAWMnuLnaQMBhvBGDYnkoc5DKIsvroVu5/szepRI2hkiyhj63JadL3VQonKvQZ8mJxnT6zK/LBOs8al6v73p9BmgjUdPrapdBKxermQDqZ5QTSgaWwMQtakQ6RBTEgHZw1yKjQAvIRLZfgaa6ZdqwaBuBoe/VVaDogVb0M8ujTAiDOrtKOQHaIdQ1KA1qppULcoFkuhlzPkMoeSkJ280Nvvn225ACjREl9FNpp2/e3OGtp2+hxmx+1dfX/gAQ1Pi+mslL5k3lSXNYy4WccnXZq61WQVacrWRBVMMo4x2M0CgK5ZLZmQE4MVqlEIunSjICKaEUJqdwUGuanLu2bCkldLjYS+ScKEv3xGFDoE86ahss3KgoWZ+wGUftOC7imnVd8RCjGqUpDKTDos1mA6tVrWjl/uGHH+LZs2c0bjudcHc+Nj44hHmzvhvwwSef4bMffgExxNK5iKoZFWDSim9+4xk2PUNk6ASaeXhpNV/ZUih0Cq0zi2ma8PTps9aF0fK42iuzor9I5KtVrh4UC9k4u/0Or16+xOF45IPe9y2/FkCr2KKmNnHoTex7VYwUEIpw2sBdmsgspYxxMza4h/ei0j4F19fXiDHowL8gFXLwq07B+655zNSfwaExEBO/5jzRztkYbiqn04lqW40DHcdRIyMD5mlG1/dIj8gCVajmux5v3tzxz8Ehte2Ij4u5hLaEGBSvNkzaEYaKFMv/WGPBHBNMNxLASxnOmcY4EWH17SSh7xy2o0VKQT2JCNt555BFNRgqXjKqVK9wjjaCtFawl46GHjXSMPYKW0a1cTaeEA4EbWheYZWqh6lBT67zuoGWVghUfx16hEW1w+Z8IeWMogw50iwFKEI7CkO7GGYJe73KRZ9ZhSsLBZFWiCDEEOjTRXyIB6R68RtDIopI9SrShlYZRISmlMar80Cr6yJoaE21lzZKCLGWxcvycGRkp/o91fnS/uqK87BxbA6rX+X1tT4ABKSgWaFj4RqC4rtFPbGBvu9YVebcjKWqTwgKT+x5minHLwkGunkAEPBhq4KqCqGQg8sBnVG+PKQqGSNyKpBCQzAuSLI06DuU4XQGIQBKipjWGZvNAFecvi9uhDWqr+SM3XaDamJmpFaGgHMGXb9hW4pLVrBkkF2xrjr/YAXzzXfIFDitC6bzGdCDMmVBN/S4e32P7/3d30CCQdePgGoeUozELXPE0Fn87LfeQVwmhGWF6zp1Aj21VjxqrCFVyhbHI2cBp9MJvuvwcHgAIC30ph4atT3t+x6lZCqpVQkcQ0HWgd3h4YCcCzbbEYBoxyIYhlFxd9uUokDVaVQYQ+q2oEZkSr3LaqKm156qX2j1TJpqHZofj0fUfFurLJtlWVv1L2VtnPdWbGRaC1f2kCirBQAmhY6GYWx/N89zSygTEYSVnW71N7p/YOD8ly9fwTvXHG2rWj2mgNNhwv5qj9PxhI3CVgUZ8zKj8z1tNA5H5GKR4GG6Dhm2ra9KLaisdJGIzmX0lgcEhN78TmdVlQTBC4q2bgA0YgKT7XiwV0YedStZcxiEQ/0ksFa0k7Dq8Eur6GVdyJJyRm2yKeQUhRiDWn07ezEDTIkhTilF5ESltM1FSQgZGZxBhERYs5HWQN2N9b4VLUmfA6cssRh1Y1ZIhgcYkAXqH6Q/Q4f4NL1TAzt99ghDerWEuJA26iwk56LOvQJTLIoRmEKx2JMnT7BMEzvRnNUh1amglaZ/tKURVYR/tdfX+gDIJXPg6AyWdcGog1HvbDPWstYp1snBZwiBOH8KrUUj5OcQo9LALDn/vPeFFUchj5gs7NRO4XVddZFXl0+GUGcd6tGKtVZEHCzO86yh2wkvnj9T8dojIzdttet8gFLySl0lTsnq0nKYpXTThm/gUjmkFBqTRwCcT2TklBTReYtcLGAcXD/iV//eb1C9PGzghRCOcwZiOF+wJeP29gqDt4jrGblkYs+ZHG/CaVxYzlJ4JcbidJ6QysWh8rGpnrMORYBlXTEMI0JcMAwjlnWl97we2MSLrVr5Jq18u2aBnEvBZrslE8kYTPOC/W7HaspUGT2vLU3Bsg5UydcPGldZ5x+mznZKFUjx3zThqvfTcu6DQjGdBqtDYwjDSpdPKq1JAgiRit1pmmCdbSEuXpPIjAjO04xxs0HX9WTNhAhRCwIWlIbPGIpi5FWZzgCggtLIC845zBOH4oQzOITfbLaIIeBwmgA7IGWLBCCLbYdjQQ1gUQFjCbCyQEqGkQ69wmXMEzDtM3KgadrBxyHvj1GeRZpLqYjAWIHV38nqVnD79AUA4NWrL6kuB6G5eZnx1u1bqBTKkBg2lFF0puQusYd1ECpVOJkQtCDLRW20w6IHUkGJSTdsAwhhQTECZLSCrGp0ABYGy8rckWo6mGsR5hy2mw0/n6lFBRPIrDHIQtaVFYOEpDoWPp+NVKJGlTkn9SjSkJrW2RTAFGx2O9qmz8fmBCCq9yHrKf0ITPpVX1/dNOJ3eInIjYj8dRH5f0TkH4jIPyMityLyP4nIb+m/n+jXioj8ZRH5noj8moj8sd//5xMtATI2m7H9WVXr1Sg3ozzxWmmGEHHU1r2yT4A21EelStJe2igv2TXusm4lAC7RazVCjg+ORT+M8F2vZl624f0FBVf7Kzx79gy3t09YBakx16zMoMoOqQKxKgGnP/iKsHLTqKe8rcZvrdKqcXMX/2+v0vbKE1/XFXf395iXFWvM+Fv/9y9immYsa0CKWcMyCgwKlumE3gLvPH+KzglyYhRmdY8UI21x1PSq83RGCEGVjVaTo9gGryFiv7/iomh2zbRgtkYVmED7/F5l7J1n0laFhy4RiKZFJxbQorvzvs0KgsI6FQqJWg057zCOZCjRyTQSNzfSLHPrQK/vO+oVdMOui3oYhhYkY3Ro6D2rvK7zDcpgADzdWUOMbfNsn62jOCmEiH7ocTwemiK1oBDLLSrmC1TrXl9dYZ5mWEPL7DWERpmtFWPf98pgMzprWZiIFklPNtYji0MqZMT92PpFpV6mtCKFGc4IvLVtE+E9dLAahDRNU4twrHMQso0qvIdmv1AKWihLPXihRdWT21vcXD/B4eHwIx3ifr/Hk5snl4FrhUzqgWJtWweNpQO0IXNQqjEreKdzHarIjbU69xDU/O164BpTi6uiYyUlNJSi7/2iqo5Jny9Lp9oYIzvEedaZgWvvURQqhgghI1T48pIC6NRS3joP5z2sd+j6Hk7twLPCgfXr67zKqeAOIEw+jiONEB8Vir/f6yftAP4SgL9ZSvlXRKQDsAHw7wP4X0op/4GI/EUAfxHAvwfgXwTwc/rPPwXgP9F//64vLkKBEYsMUatj0DhKK50QA3IGckmIMSCmiHk66ylLzM1qZd4NTqsS1zaLorAPxRa1KgIgpHqmXKhDEIE3Bl7DmEUsbNsY+L3eeT1EcmtRrbHwmy0gBUYu6sxpmmANb3Rp8FMGhG2i9x1sYyklpc7xxsbWVmdUa9tpWpoYB0Ug1mO7v8Gv/Prfx5rIHAqZHiRZXUB7Z5Hzgp9+9wUkR+Q4qxVFwroCne+wrhpWoh5AXd/BGMF2s8fD4aAbNhObRATeMZozrJcWt+t7LMvctBnDwE5uXWb4ziPGpIeZVVUuK/d1XbHb7fDm7k6zWJVW2/XtQI6RoRik+QbUTOPq+BmU/78ss4rCQptFiBgMIy0RcmZ0IO/NuVWyDF45c3iMgmJZEQ+aJUAlqrK2vMfxeNYkN9L+mCmgfjePOsD6/cM4wHcd1rA2P5fN1uPh4YC713cQ1GQzw45O4cqqzp7nuR2Wfd8BpSgNlcLB4yoIBYDwoLmAPjpLMILNxsMbgUEHZzk4rUNGo/AnCmihYmogTGnWJHUzoxCJ7Cw40U3YMyY0zqQnakf25s0bfPbZ5xzcaioeY1K5zqtIjwWZwnr1YNFuunbFsXr7KHbfGPwK13CGRIM66HCeLD5l6+kQurGQlAm0LBOsoWDLO6cwchVyASElOIV9QMIf2WHmYldSB8JZ3VZFRKEuPVw0hQ9qT1PzPkg1T6omNuiHUQfYvuk9qg+ZoDSKcDVD/Kqvf+QDQESuAPxzAP4MAJRSVgCriPwpAH9cv+y/BPC/gwfAnwLwXxUC9H9bu4e3Symf/a6/RKfwUi5si2HYNJFHEaDr+jYsi8oKKgNnBGKcDiZdw5BjjGxCrYGRrOEMvOg5q2qvZMA4+M4gzjNSEfTdAKlybusgyjWvD0QBK79K76uDrpQSlrgirJzsc2hjsds/AXQQuCycZyzzTOw2Gx5AjfUDiOQW5F0ffmM6PBwOAKhHyCkjhYxiDD57+QY/+OAjFNR20FwsB3JEZ4C3rna43vRYzg9kbujBCAC3t7d4/ZpxfEM/YFkXDU5f0Hdds7ylkym1FefTidV1zDieYuPsJ6W05kRh07IGVV7Pyi6Kag5H+uWyLBg3G6ZjnY4oOdPvyVokXXC1Qs+pYL/b4e6eQ1LvPTdcZesIBCld4hQ5RKfJlzGGudGJDLE6EByGoQ14S4GG0XDIXQdsHNLTy+cx1bRuWJ33LYqx0xxeoxVnWDUk3VnstltQZDfhsQuokptQOewpRhT1LAKAEAipec/ZQNKuLGe6VRY4nFcgwAOaW5u124F20dYa9F5gygpTyMMXmDaTiDE02iZhnAtLiu615dIdF9GZmMB1A46HAzY7UrSzALbzSmlkTCqDUUyb3ZCkUCjQLPmSfyE1f0BnFtW+HVArC3YjkpkX4DvtxEqdCWS6zYao0Y0GsJfNnvRxKsuZHZyUjRX4nJTS4CmUDNoWkUxR4UbhjbqQSUrRoe5Fl8SscCHXXzUQLBqdrovcCsH6bDvvYEsBSsLYjyhZc4mtY2fqfdOoVAjqMmz/aq+fpAP4GQBfAvirIvJPAPhlAP8OgBd1Uy+lfCYiz/Xrvwngo0ff/7H+2Y8cACLy5wH8eQC4vblWbJhhDyZlxLAS91JjLmMMzif60odEzj8rJijMcvHw6bqL93nJGdRa5HbTHpuw5Zy0khJVB7NirJizsdLk5/VljKgI5aLWTZEDqLqo+g6Nk15AWwUePsS8vQaZVO3AJcxEtQ6ARjkWPDw8tE4hZz78xnr84ne+iyUkWNc3ChqHy9yYclzx7GaH0QtioAc+wOu13WyxLAtev37dKjC+x6LsI6N2GA96D0L7u91u1/QA9IcZEUPE4XhEsa5dL1bOrlFOQ7nECFLBa7UrYEez2+0wzRPGzQbTeeJMxtLTPaaM169ft8FkHeLV+Qr92MOj2UJShe4Ox+OxBW9UeAICWlCEoMwr0gCNIcTkvFMYEdhud6j5szXaMqbcILjaFeWUVddBFSw3i4Lr62vc3z+gpk+VUuA3WxWPsdMgxJNaV1PZH4AoBdrg5uZGZx70xgkxIYtHLNTQlPKYGlg4VwJgTYEzBd4ZWEAtjTU3Qa2wqbXo0EwPoc6g2vW2mY8SEYwhk2u73bJqz6UFp1trkKOmikFoaKZeTzlVr/zSNvXHjD7R6r02MRW6ygpDCS6Hm/dd48QbTZ2rDC1ClCs8HAAOXKd5IvusZPRdhxAWpBwb7FPZOCmXxsLCo9lM/acWRZDK+Yd+ryjRBEhy2eSddxeY6xGLCrp+Si6AMtwe7u9we7VHDdthV+IvMLdIYx/21ZLmK7x+kgPAAfhjAP5CKeUXReQvgXDP7/b6nYCp8g/9QSl/BcBfAYBvv/tOAdTCGAE17QfQZB/nuFHnRNxTudXOez2NM7zSD401zBRI1QNfHQtzbNVFign1cXKOQShRQ6FXNQszOrWPIbYTuz6MKLrpg1gkD5MMa72GyphGX+QQh9UU2SekjVbooXKjibFGrLFWEp2aVRXFGhkjmcXiN773Ab788hUPS8uDJCXCW70VlLhi2xl889vv4HB/p5CNx7ou2O12eugsTFWLCfM8Na53TebKhbCZU47y1dUV2SxawdJkTFR49KBDNtOGhE+ePMH93R2pmta0uEIpojhuQdd32jp3atGd8OLFC31/zIVIRe+UzifWdVXoYMXVOCLGyEhQnVGsy0KxkqeHz93dXVPPOu3aagh413X6uTjIP6pyV8+Hdo/q8Nk5wnZriJXU0Q58aCFSA+IpBAptQ/eebJlx3GBdqdSuecfVD6aycAScCdLbqNMht1FaKyvXmIBstzhMEUVcRbQ58ETtKATWZIydAfKCFADXe1hcdC7n88SCwhgYgwaTEBM3mp6lbCI95IwxeHi4p4suCsJMO2/nvLqBZsXOuUnmUlp0ZU5Ru46MaZ6BAp0/qdV2ubjxVu4/yuPUuALEGpQTOVwFC7Go64qEjQs0SUU3GTx97/W9BEjJkJKVLspOP5dqxqimhs6jGC0Adb16Iwxt1HnR5XDg5l9nS5CL5XN9r0z0Y8RszW3IpWBJAd3o8NbtDWwpsODBwerftvlVLe54e/+hbfV3ff0kB8DHAD4upfyi/vdfBw+Azyu0IyJvA/ji0de/9+j73wXw6e/9K3TarW2gV/9vYmIDpmlqVbL3HkGxWwB12gsADXPrq3ij1MjB3B4oa02zMpimWTFO1zZtVnP8n0V55lX5W21pYbhZpxC4Eagsv9odmMK2tSganCKFL7U6a92Hvq8qbko5kfkUI87TrN0Lf3fMwBoDvvPLv4p+3MBYh/zo/jtrYKXA5IC3334LKS64vb5CWGZmKXtW5tvdDgf13A8hYFlWHXDXWM3SIh95eflLjscDxFg4tbogduwUNx+x3e0wzxNj7rZbHNTcq+97hHVpm2jSCmkYOTyFgBDSNMEYi1cvX6mnE1txsZXySJZGSgk9pL3/GANypmkbQM8hVuJBNwMeYAZA9Zh3ziFMMxIShWJAY/h4TwFWjFyc87I07LkmWtUBp/cMCDopJNarF1HOEet6sRev3VLJdLLlZmswT3S0rNUrYY2kMGOgHXe+0F7XsGIcBsxzRCwW52lBsZzLQOoAVZpSWlCw6R1KnIAS4PoB3tfrpPdhGNrzLhVvB+i/n1TfAnYI5/PcBvH7qyvNBRZi/oV+Wv2wwTgOOJ9OWvFapYAmFdqhdYFDP7Rc5MoQkwbXVH+davHA1ZQzrUmMmdspkQAAIABJREFUNYRZtKAoWXRTvLiI1s8oAgT9PcT9E1ztbKyglEucaptH1C44/2gq34U4oEyuSk3nLgZjq2305WcUpa5TrBYR1oh1qfoW/uwsBdP5RJ1BUtsTJWMoTUi3Gqfv8ffeUX/89Y/MAiql/BDARyLyh/SP/gSAvw/gbwD40/pnfxrAf6f//28A+DeUDfRPA7j/PfF/8KYb18N6Ys5ROdjzPOPly5dNzZliwjLPzEPVqrtxeWoBBEFYFj0MLtV2bQ+d67SaBzabDTbbLfqBISPruraA8CrsqN7067K2VnVeJtL6cmobPS2H2XrWh6TixzWeUUSaWyOAy8YfI3KmHB2gUMc5D+s9h9cw+M4v/wq++yu/DtcNLZTEWg6tpGSUMONqdHhxu0XvCkoiFjpPxN/neYJ1Dvf39xjGsVXZq/rtrCsZKfM8wzsa01WXz6S0Q6+snWWZH20gnA0cjgcsmm1bf2bFkRmAzkEvAB0ws4LqOo9lmrjZhIjeeZgCbIYN+n5oA8p1If693+8xL3OD1WqVHPUaWmsaJg9lfgx9r9Ubr3vOdLokLbdey0ukIb3zI1OffB1eJ9U0aI6zwnfzPGO32yEX6lDYhax0NxXRbItLWLtRTB6gvcmyULx3Op/IpVeYoEIY8zyjH4bGZFtDBIzDp599jsPxxMPBmLah1Y0UGuQuJcCaAq9V/DRNCGvA6XRCNcFbtLj6kXX/iOq5rgygefLkBs+fP8OLb7zAZqTBnnMWyHwmTqcjHh7u8OrlF0gpNJinqEI6rKFpLEIIjfLbGHYKHpAWXQVURu8PoR3RPyupAODPbL7+qW60pNXWHG4WYJEzA/BQrlCcgWlUUqAyd5R7r2rkKtDyeoABWmxCnQnEIBfgNE0IMaqHUcaykNFVLebrrn0poNgZT/MZP/fzP4dh6HH35g2JG/3QwpRq1GT93qx7xjxPv9e2+iOvn5QF9BcA/NfKAPo+gH8TPFT+WxH5cwA+BPCv6tf+9wD+JIDvATjr1/6+L1bel/ablEK1wg0rv0I311wyRVp6ElezMAEwTycMfaf89YuBVhVuFMUXRSgBz4o/d94jSkQIC3JIQNeT370mnE9HTvYB9VJhOHU9lWuVXlkidbYAPK5E2JJX8VnjBgMYRs4s1jU0rLMgIxZBzAW/9Et/B/2wQYmUkjvlBvNwWeCl4Kffe46SI5ylSdb1zTVevXql+aVJcdkI1/fohkFDxGlXUEohjh8DhmHg1yqWXSMGyRRa1YaCc415WQBwQL8sC5y16LuO11IPurr5DSOtHnzPQWmYZ+bzninY6juHdQ2IYcF2v2Mimc4ActvkFKs2Bn3XIYYA3w2ADhc5K7q4YFbPnkU98yt3um7cg6aL5ZQQm5o5tcHpoJTS7ZYCvdoZ1SEcCplnp9MR3jmlCE7Y73dYlhXVy7/verW1sMg5toHjMIzYbMaW3xtCpJldzNjuOCPY7fZNWRxCgh83ePXqAQmCFFesd6+JM7tOmVMdUBKsydjuBiAHXh/V1nR9h0WhQGMNMugpVGcphFp+nEZqGhxT52fk/YOQhgGG3mPsb3A6Tdhf7cis0yqVbDn16kL1NoptTsK1y82UwUkXBcPFHLESMaSROJQQTtIEKKisDJz6tV3XYdHsCiMMTeKBVJqGx2pHb/QQimr9QsZSpjjMWEjVFeh7cQpNp5TpQiua82syTCbl1Ci0fWGGXWDFFANCXHFaJxxOD7DeYhwGrnFlZ8VE9MBud5cqXr+fHkRf7fUTHQCllF8B8E/+Dn/1J36Hry0A/u3/r7+D0vnchntF1b5GwyhEgK5jJSlaFTK7M7eHRQTYbTfwjicyhMO4ceAAsJ7O1fujCqtMCMg5YJ4mrTgtRL3dh75rLIhWQaaatcqHs+QMp8Or+jOrMIYVAi7MDKgtrkjDi0MMLS4RoCjleDrje7/9EeMc/YBcWDXUAYsAcCjYbno8v71C7wUpGUzTBN/1OBwOMLZi+qmxleZpwsPDPdkpOsGq0n0xDM0Q6dRJU1W4Uu8t5y6z8qAr514E2IxU7s7TpB0G2+usyU21or65eYJXrwnzRGVK1N9hnIMfLCa1dagWFFzIvh2mOSVM04RxHNthWq2d6wBYguhCsRDhgbSuAd7zXtaDqXL7k84lijJhAOLBIQSM44jz6awsKB5gEArE0jy1g6L+XaXxretKptG8aPCQafAHcBmSVy5+Vf5uthtc7ff48KOPWpcZU4HzI758dY/DaUEGoU1buPFFEGbzDshxxZPbPZBXhGVB5ylu2+6uANNBssWai4ak0zlTkNH9iKun1PWMakZYYVoACCs75ZpvYPQ52u+3qNXqN158Azc3N/jwww/a5+MGnpCSa66g1SOf0lvRtSytI6vdWeb/gAPuC9+eX6fBS0qEuFivLNhuNng4POjzwqGrdQbXNzeog+X63GQdsgNkZNVcCNFCyhjCWpUJVo3+aPuckUqBgJkkudC2w1t6k4V1JczbXVw8jTV49vw5/OAx5IHZ5zHhFJn6VYtKgOrs2kUWLT6+6utrrQQG0BY2wAufU0JYKahie0v/8/3VVXsYajsEr5BHa+2qQZyHEUuLZB3G6IQMRijvpqL33Kb3tZMoypRYFb+uCkGRmpvaNaYRAHVx3LS2sw6P68/kDIGBFt7R2rWyUio2HlOCGIff/uBDfP75l7B+1CpKEONK8zEIhqFHEeDdF7cwacF6PsBuNwhxZVWnh93oOn4OPTCzdi+Pue2VfWKMKI/dNvbNsqwtbJwVT6U8CpxmFXvnmwhPBNhf0ee/UgidGurFRJ+j83RmuLcRLDO7BgtDfnXOCCvZNVLKRYkpl9jMrM6Z1aQu58QBq26ww0BL5Xpq0TdoaLYL1Xup6hDWdcV2t+VBHALGcYNRjeVyprvm+UxzNg9p7XiMiWE0Dw/s9kTxWR2GU+5PJ9Qa6QmgMV+2uz1QgPP51BweU06Ee2LC5198gdvbJzgcT4REs0VMZ3zx6g7iPDsWJRws64rOWQAZKQu+8fwWaTnBGGC7YYB81/cIWVDE4zAHPH/xNo7HI6txAM4CcwpwBtzNs9JFjcC5S+dbRW/V2K7CGjWsnE8rmXLvf//7uLm+UXaW/ZHPT1y9ag24KSepxIiL748R2m77rtdNVofIKYPVeG6dmM5gm0lkVlbVw8MDGYX1oAERhtP5DGcd+s43hk0pHAAPfQcz9Li/f2jFKUolp0QAFszAVijJGHS9zmNKAQzgjcMyEw4yKM0eviX+6WePMeB//t/+V/wLf/JfQj+OsJE6mk7XSdd1hIO00KEPUmpd9ld5fe0PgKKbMsATOGlLlYXmXc579eCm0EVK0eFPVtGXh3FsKXMhbSwVIAc1myqk5LGKJLsm66ZqDVvhaikLEVhRAzodQBkDzQwoP9Jx0PzrzFxTHT5JrgpAoxGEmuxkBIPmz7JyNjgcz+Rd2w7edPjb3/lVUs/ciJi1BNL34sSiQ0RvFnzjxTOYsuDqZqvKxIzDwwPGDY3Hnjy5wfk8oaqjY+ShUGMnrfPwfY9pnnF9fc3rHzVnVgRiqAhNyBg3ZK4s09w4yZwJeN142YYDwN39PXLOuNrvuemoOnqjUnr+kzCdJ4zDgBQiMhJSLMpqsjhNZ2UMZTgjzUyMcB09Y6wBliWo97rDEmZsOo91DRg3G6QY2cV4h8OBQ+8nT26pYbCW7pt9D2Ogw95ZKZPCKMsCIBcsYW1CnFJYlZIR5DBPM0SEWQbeKeuna+Iw1rLVgpydZQwBYg3Op6Pi1ELYMVe8PCFmXq91nmGNw9MX7+J7P/gMn3z6GWAEBgUhBsg6Y7vZYFkXLHPGk6s9XtxeQ9IKQYF3j6zDFcJ671vv4N/91/5l/Mf/0V/FdJ5w8+wbCLHgtC4o2bJ7KoDveqBkOAN0rijJIEOQkRPY6XUeBlTjMiejEgd4hlztRqzLCV1H3n0pDIFBEWrOSqaNF4RDX6uJXMrFZydCL3/iMSwKpAClCGLi5xKx4HiOHYBXvyHY6rdEQ8icUqN3A6rIzwFZtTGCSwgRCg+4Xk39QgwotvojSYt4LaoWRlGtghZ1SQvMSkHPOmjPOVM7IECRDNNZvPPuO/jk1UtsdnukNWKdaZ9Su1rnmBBorddnqqDrXdMVfZXX1/8AyBHLMpPGATR+fVW0VtyLgov68OjgJueWXJT0z3ynw14d3JacG2WUkAdpfSh18MQOlCKljuHQOSseystOBgFDNqoPuLGeFUKKhJVKJQYRMzVCeMsaDfVWsymGddASd1kTfvN77+PN3QOWkJtlBP9NvNI7AXLEz3z7HaBEWCmIMeNwOBLOsBa3t7eEJ4xgVivZWmWczwtubm4wnc/Y7nZYDW1+R43We3P3BrvtFrboNcw8pGKIuP7GNb744os21Ms5o1NBV6UQZsNQe1uIKdfPWbH3eZrUyZMiuZvra4rmAAx9jzXSMiOtK7zzuNrvMa8zpmnWg5n3qVphzPPacO9pnvDuN9/B/T0Tv9ZlwboykSvlpL75Cw4HVvXL6YT9fgeyebgxOOsw7nY4PBya+ragtKB5stC48VMHsWANq4qKSEv2I+mszBH27XsK0Kwxur7T0Bd3mfdk+tBXnUD12i+w2N88wfc/+ARJOrz3Uz8LgDbpda50Pp0QY8bNzRbP3rpGSdQl9L1CfArnpBDwG7/1m+i7Hf7yf/if4vmLb6Jkh5QKBu8RFtpvRLWnELvlhuM7HBeyf7zhzxIUnB6O+OD7v4F//o//s7AKw0Gfj8qaM0rdzYURpaLMmZbwlWqQjQAKq1SbaT735tLl6zqv+wAp36ysUTtFc/kdFbJlYJJtmpH2PhsrkFBaFVnV+Mi+8xAUVY+z68xaHF5gS2oXOms1a/hCSMmZhSczi6lsrniw1QNqjQFrWPHZZ5/h3W++C4Ai0U03wKpTcGVdGWF3O/QDBHR//fFZze/1+lofACVnxHWhBSsumFqMtCswYmGABkXkcjGmeoxX4lG1S0FXZURczLa85yZECmEGLdIpYumHrglJiuL19SAqOaPYSpETWChzIGskXbkcRhTrJPR9B9t5QB8w1jqC87Tw9xoO/P6P/+uXAGPRdQM2G25aMQSYQi51iSuuhx5Xu1tIjpjnE672e6wrvX5812EYaY8cY8Duaq/8dw/nHc6nI5zrMC/0Sp+ms6pLPR7u75rqtxqppchAnBjp5f/DTz8jPKEbePWnZ2gKWS9XV1eq0hW4wkUZIuEuARlX1RfJGFHFL/HvmDibKSVzKJ0SHh7utQK6OKn6rsrgaSFQCp02h2HABz/4oHUZLN5rQA/9iPpu0L8r2O/3OkzmMNc6h7SuuLvT4O15gUhumHeFxKyVNkC+vr7Cw8M9DocDdtstjEZw1lnFsqyNP//s2VOcT2f11icMaG3XNhMxAimcV4QQ4DwpTHPIePnpF8iwyDBYEw9eZ6xizwVPbkc8txZOFmwHT/tzsABBoTspqakFXoD/5q/9NRjXwXQ9DocjUip48eIb+Lmf+3l8+6d/Fs+evqUeQ6yk1+kMKQU/8+1v49NPPiUO7iy++6t/D3E94u54wG4YG0WTVf6PBuAYFVZWIaHo/aFIjNVtgfrflAv+Xyv2zl94/dUV89KJqz5B6aJ917UM4vCo+7/oOQCYiwq36iWckkSyrvVpmqubO9e+2rCLMTD6PBYRSOE6rtCvUYuSSnFOj5hHdbYBEPtPS8Af+SN/GN/9tV+D3+yx311h5wbkNdKKTC520bTAiUB/MbNz/g/IDIC+PAo9yCXkg21bRpaAdQFcpgKWEIU0dV1BAWIV7hh4rxu14tKVg13FQsZYdB2HtuuyYFQmhsAgyyXCTsRolcaHhBmslb9usEwTvL/YUldXxAIDK0oZK2T69N61IbSxHtJ5/J9/6xfhfI/d1a0OeDjxLzkjx4DN0MEb4J133kZOC7wpSInVABkjZM44x0zeb33rW/jt738f03RWnJydxPX1NTUN1rbPwsqCLSQjEsk9z0tGP4zK4/eQnLHME66urzjnGDdIiYZ3fX/BVR8e7pXJUXTRgGEnhTh0HdompWhW+Aw5Yw2BbbewvY8pcpFnYr9iaPy3zis2mw2WZVYIquOBqbYb87xgu91w5hMiFhuamylnG3zGFrVsrsyrEIjrO+dxOp2RMw3aQoioZmhvvfUWXr9+jWVdsdvv8fkXn6NmMK+RvjDb7Rbn6UyhVgzsjkTw5vVr7cLODPIuuXVENbqzgIVLrmll1iOsCQGWMy1RbFu7RxGoIrcAecHVfoAgMxfYOkBhs5KB+4cH3D55CymTXPBn/uy/jv/sv/jP8Uf/6B/GDz76AG/uP8Mv/Z0f4pe/+7fQdx2q7ffNzRO8/Y138DM/83N4/bJD7wUBBetyQlgnwGRsr29gImc2BUkhEVKAKlOnERHEoKCav3HdF2VqVUFcXbO67wFAm6HUboAMGnYD9T5649scRwQ4HyfslZ7b+U53GdRmvhE2KmyT1XixZHasnbecEYIiyyLs1iqNl/BPuSAKBbSdeQQvoQDWGZ1lqGpYu+KUAvqBjKynt8/x8as7WNshR9qO55SQhZBUKbjMAETULt/9wZkBzNOETz75GN/4xttwjr7kbThUMkphNZpygnMcaha9OLqfASitwuIf1c2otN9T7Q1qJXE6ndCrYdk4ju1rKl+/FIOidsDOWWoIVNhRXfoAqP2wYp9qmJVjYLCEJaMIpWANERkGX756g9/8/g/gup6/Q59MEdLGjOM/T2922Ix98zISqVYS9FEXMdjudo2z/cMf/hDDMCDliHEcNVych4RR3D6ESM9xpeQ5x4cravShiNC7Xp0hS2ZASgwBz58/x/0dMX5602g8pAg3DhVndV1P6Oj6Bvd3b8gaUnig8uFFquCH94ZCtaQHaIEfOADjcDxqZq9t97MuCC4+KqetdgvWWPjOY7vd4HQ8cRZgnR4AvL/t+igjiOprq172lxCYunm9evUKAIVTUd1TT6cTbm445KyW2iEGXO33COGS3QuQh7/b7xkuXgq22y3hv0W5/n2PKczMIo4J6zJjiQYiXTMHrB1MY2WBmLo3wkwIUCU8aFRiyAHjZsTbw9vo/MB8XePwU9/+afxbf/bP4X/4H/8mjDE4HA64ublBigHTclKaJwCz4rc/+E189MkH7OhCwre+9S28efMa43bA8UQ2WLW/rhi6c3TNPc106q2uolWkVkV0VZRWpDrsghCPPhT12lfYqSqMBfQrMgrliFyq/JiUWq36lOoDVPUo7DJy2x+cc4iFuRckjVyo3OxCMjKKijgFXe+RQlJYShp8CMMqfxgICRZjFP9XW2y5UMarNml7dY3T8YRxM2L59HOcpwnOdI/mFDytmlDQ+baXtZ/7FV8/kR30/9+vcRzx3re+ha7v8MGHH+KXvvNL+Pjjj5rysoqBctIBcYwN2qnVOjF1evjXMIn6IsOMOFwMysNOtPKtfN8qFqNuwPOQAQdMw0g8tKCyOyyqRS6g7JXAeD4jQFzXxgBalgUhJMxLREiC73z31/GDTz6HcSNSrmph3kopBd5kbDqDf/wf+ymMncHVdiC3P0YdphXlk5c2MKt4duWaG61yOeSkQlVAXNo7h/v7OyQ1tIMQ96149ZMntzDWYr+/gjx6AEsBXn75suHd1aqjFOBqv4e1Vi0VePz2w9A81aG+96X8v9y9WaymSZrf9YuId/22c07mya2ytu7qrpnptmfc9lggbBmLGYzMDQhZYm4sJCz5AktISAhjhO+4QQJjyQiQJV8gLjDYIIFky2bsadsM2DPTM9Nbdc10V0/tlZWZZ/3Wd4sILp4n4ssSxi40klXyd1NZmSfz29434on/SsaI+75nHEaClwktvy+NlBaFTs9qtcz47DCO+UZPm5b8v1VBQKQfZGMT81sn11cjPEcKeHPWcnN9jbUmy0xPTk4Yp4nlcplzj4JuPpg8Px5b4GJgdXIiv1dVogAqHKcnp/J7RZHJR2clnqDvOjEyKumcIrZFWVZIFLCr6EboJ0M0QgQmyXNygKZIksIEKhcoLcznLcvFksViriRhfewNcA4fRra7G9pFxX/8n/yH/N2/84tcXV7w1ne+z/e+/R0++J0PAMtqeQpYyrJmu9nh/cQUBkwROTmb8fEn73J1/SlT8LmPQUQNY3Zay8mqVwhNB6YsZxSOTeBbgXhRJUwMnuDFPJnkp0CGsNI9nXDxdNITGarVezz5cLQPOsm19UjhNWpFyZHsb0iLbEIMjJrBrCtoZwtcUdHO5sQgcRjT6FVWXAvcbCWzpztorEpZYG1qOFR3cbLuG5imkbZu2e07jClpFrMcY5MMawm5kEwzhb+9vJcka/68jy/0CQAlUwC++tWv8NWvfiXv2IfDgd9593fY7fbcv3ef8/NzTIyMXZ+joJOOWDBD7TyKctHJ5qulDTFoNIA/1qnl7yQpVESyOE4T4yBTcaG/H5WYSr3ACZuO0ecY2WkQCeI0ymsZp8Bm1/P04oqLq1vJbRnTxSyLpbVgo0BfP/H6S5Rlwfr2muVilt1+RhfAfpDSjNl8rgFlhucXz7l3fi4XRd/LUTK1ZmmjmFUisCwcoZdckv1uiw+BdrXUukj4+JNP5HPvOk5PT9lsNhwOe8qy5PT0hGfPn7NcLBiVBJvN5wzDyEEz+4dhoOt7nCuxxlJWDV3Xs1xJVERVHLt1v/rmm7z/vkyXdSWOWZuhmYG2abm8vORktcpmrqRH7zqJnW7blsPhkKWeMZIL6sdxwk8jVV1z6PZCLPc93SCwn5+8pMy2rTaDxSwZTJEVpdV2KD1lpCaqBAcM2nnQNA2HKeQTyTiNTOMo/dAxstao6xBhtVpxcXHJiAYYasbRGKAbLUOoEHrTaDaPXCsiZIhYE3Em0BQS9VCVFc5JWGKqBL29vdWgt+QQhqvLK6LxnN094Wr7nFgEfub3/F6+8Xt/hldfeokpTqw3t3pahbt37vDjd97hwYMH4AOH3Y6EYx+6A7NWVCmGF0/aIn0dx2OUwWfIW8Xn5VQT1fdTam6XpLBmN0CewJPIQzaXlBQ603iOaRr1no+ULuXwmCxhJsqw5PNGFKWFyyaIJebTfFK1BVUcjV7gLFfW0iQ2ebwXuKcwSKlLEOFEXZa4opJ4CSLRxPTHpC4FP0UwgXv3zri8vuHu3Qf86re/z+rxPVHp2UIX+GONquOYNpoAj1wO8zkfX+gTwIsHmaMF3GhYUskbX3mD3/N7vs79B/d59uwZv/TNX+KXf/kf8OSTTzT24Wj7TjrvBCDmbBOOsNCL4VaucDmf/WjukC9L5IcJszvikKnERaRtgajppSEIUTNNE5MP3Nys2XUD3/+tH/H04oYpRdfq67NGJY3BUzHx2qNzhn7P0O1YLRd0Gq2QtPnTNLFYLOTYqjdS0rTf3Nyw2+5ydIXEFwTFOkM2qCWVSfJdWGvZbresN2v2ux2LxSKrZm7Xt4yTwB3OOvaHPWenp1r4YqnrWly0agYb1Uks5J5Y3eu6YrlcsN/vCRo4V9cCF334wYcM/aD5+hv1ccgiXmjGv8Gw2+2lMQyyMiSVviRdeOp1LrXub9LoinY2E1xXT3XjIGGDu+1WoYhC9OA6sZdaGpQ+r8PhwHyxIHifPQypXN3n79tzfX2TYYRUnBMheyvm8wXeSwTF7e1aQwON/tcx9BPDCP0EHkM0vDAkoL8S4rcqDE1dEDUWvR/GvAkWZcVhf2AxX+TTc+rPnc1nTJO4xLuu42/+zb/BRx99gLWW+/cfZJOVvH7DRx9+yJ/6d/8Ufd8xTRNvvvlmxuCNNSznC2nB8j5P633f5V6ElBuVIjEAUpRGuv/Kosykbyp1SYu/DGqSCaQob4Z1+77noGVFpEVe8CgVjIR8L6d0z4wa+ECcvKpNfX5diceTHxFEIZW8pA7guq6pq5rCiSQ9DZKZQEZOH5MXqXVV1eoVMvna7fqesip58OB+vqeboqJ2BdbL60imNFFSHbmPJLVNHpjP+/hCnwAyjqhHMNR0kYhgayxWJY0PHt3nwaMHYkqaPLvuwPd/622ePXvOw4ePePPNr3Ln7A5j1m9rqp9zEu0cQpYoOicxrVOQI5fDZXVBkmGCHsV0c0k6X2fAG/BKIOauWucoq4bb2y0/ev8TlSs2L5wwhGT2wRPHnugnXn/5PnXpqCuHRzD4ZC5ar9f44JnPFxLXrNLUcZx46aVHPPnkSY739aoImtQ96opCIQ4r7VV1mdUoUkcYqQqb8/+F9A5549tutxqVHOmGTrNxpozdHg572naWCa+kpSZ6vB9zCqc1SANVVTOo2QrG3J+bmrWSAzNxC9bKd2CNyScDwaJHrJE8/+vrGyF+dQMwBoiBk5MzydfpR1J37/p2LaXzaroqy5KhkwjsQOSw31NVwjUUTlyxBnj+/DlFWVBXNcPQidlMT4ghpbeWlZLqAht1vWQEbbYb3Fx6liV//pgNZa1lvdlKDDMl3WTwxnLUt8hiIkNI0p0PLJdzYgxU7YoweY0/kGv28vKa1Wqpkce19Ds4hzeBQyfFJxcXFzjn+JN/8k/yF/+bv8if/0//PB8++yDHpRQKr52envDX/pe/ltvIvvf978mJ2lochrZpubq85mSxyHh32y6y0sVPI++//z6Fs5ycrFgsFtrLnGInACcxFi+WwRgrqr9sAMTn795iiXHKCp0pTMIHYtXQ6OjGEZylVNhJYppl6IpBPETGWPw4YqqSWlGBJCiRjUNOeUZbxJyzUkE7ecqqVGhJUoOnKPfzzc2O+WKOdccyqlpPk1FjI2IcaNuKBw8ecHl5y2//1g/58PKKP/jGK1hNqrWk1AGBpuDoBrZO5OTpvX7exxd6A4BjJWOa1J1m/CQ9sWDHIrcSqaUscvP5nK9//ev8gZ9tSRkht+tbPvzwA64uL3n80ks8fPiQkpIYdBGGLOVKJJJcbCErDwyG3X5oj5wXAAAgAElEQVSHs5IJo8IBiWaOMI09YRqZ/PjC7lzisXz3Bz9k342EYKRNTEkrgzoh/URlIycncx6c32V7e8luCBRuRT+KXLSuJer49OyU9XoNSG9Ae7Iiek9dlTx99kyOlV76U9NkdTgcmM8XzOZzDpeX2fE7ec9Cc2p6dQJ779ntdpzducP19XUOLxuGgXvnd9ltd5nccpMsEOOYEkQ1ZrmQKOAQAtFKrWc/9HTdXrFwuVBDkPC1YRywRYGNMeP4k+a6N02TS7B3u40Sv/J3BXOVaI8EjVkjqa0S/+wZ+oGqqlivb0mxIs5Z7Th2uUSjqRuWqyWfPvlUegnGiZluZkM/gFG830kvcFJQSdBXL6ecotSeaped4smxXJaizGqaht1+rzi8kN5NU7PfHYgR5osTbtZ7RiBY6fHNsmYVFciEKwPGyaJWnFokzaYUSGboO9brW87OznDWst/vNERRoKtUVpNcqxhY3675s//Rn+Xk5ESED3oq/dpP/RQ/eOttjOrY02SbcPxEllpjWSyWQszqz4jeIeQt7NVXXwHdvKyquXa7HbfrDc4VrFYr2tlc1V5arjIdRQIxiNs+izOiV9YMVdcIBxcgv6+iLHDa412UDj+OWCTYMV1P3ntGVSxJrafXtUBRAicGMAO57SupcbyWz0eVoJdVCSPM795RN7+kBQSFbQhReY0AFhaLJev1hqvrG5q6kdjnSnKqKlsSCRhzrGYF4bHkJG4zWvHPzQngxUdV13SHQ8YUJRxKTgmj5qi4lLyJoShFT104x+Dl5q7Kkq9+5U3Cl0aeP39K3x/45JOPeP+991gslvzUT36N09NTjHXsDwchcdXtd9jvWSyXWOeoq1rp5GPG+jgMihPK6y1cQbAytXz67JL3P/6EomrxOaxOEz4RrLRQXPBLjx8y9nv63Y2E15Uli+WC6VZOI8MwZD22sSZHD3SHjtmsZbNZyyRdSLRyVVSMtwJHzGYzDHBxcSE37zDgipL5fM769payqCg1tG0cRSlyc3PDbDYTZVRdM5/Pubi4pCwK5vO5TPJOi2GiBMB1Xcfdu3e5vr6lbqRI3ljL/rAH4Oz0lO3u2Nncdb1gwaoLl0leNt7U0NV1B7mB+SyEEkaoqySXFLPSei09BH6a6FRhlNzYQRc+kNCv7AbXo/o4TVxcXLBYyMnKFtrSFYJ2tx5hoBijyF6ril4VRT5Meppp5XpwqSJ0zIusMXJkr+s6w3nTNKrWv1ReoyDaikCRp2BZ3MwL8kFxordVocbCim984xuE4Pnub/6GcBbec/fOnazcapomb4CyYWvNpEFVNEJ+np6dZoHAdr/nj/3xP8Y3v/n3CFPgG7/393Nzfc2777+ryh4Ng1P8frmY46cJZ5XD00HKIf4Mk+Ak6/Ippq5r6qbmzp07ROXqhmFiv9/jXMFuv2O73QKGtmmYzWbiJVEoU9I/BRkQ70jC/o8lLanUSRJnjwojY4Vj8FGURbNqBkZIXVRVkxNDwxFijfF4DS3mc1HklKUOXFHhXKPP5WnqlhAFKYjpVKrP3/V7fuIn3+S9d9/l4yfPiBNsNlsWyyU+BKqq0TwuDXxTIUHzAhScvBAT/5zIQF802+z3B5k04nGHxQrGLxkv0hssqo50YaQAqFQPGJn8wNQfePWVxwTvuXO64suvv0KMkf1+z49//DbPPn1GWde8/MorzNoF86qhKSola7zqmKWBa5xGnj55wr3792SiiQKhRCxTiHzve28xRcBWjBqLQEyKAoslEqeBO8uWk0VLmDqs0do4Y9judlpAIRvPqNr2iJyOlssF682GdtbqIt1kiCv4wGHaU9elRjwL4llpYU5ROA5dx2671TIVWcSdVs5J41iR5Ygg1ZgH2+Ej7PYSJU2U0LfJe65vblgulux28md939NqzHThBCLabMRV2zSSrVMqJoxJ8jk50aVGsN1ux2I+IxLViFTmyIxU4l5ogUbC/WeadZOUKCL1VadsWWSJaNdJSJ2og0SBVDc1h8NeEjf3e5UySrFPiooIRkrWCyfO6WTN7/uQM3FC9EQv14mfJAMpeJ8VRckE5JwjeOEgPJYxOA7DBK4G447Cd8i/jjFioscx0lQtzkT80PHsycds1mvqStJI66airIQonRT2cHoiER28OSZoGjFZJsg1hMBqJv6Jv/23/ra0pM3n/NZvvc1ut80O3SMsYXVyrjXaIR6hFmDI71ec7N5PWFvo31dJqzWaxivmPxdlyDs5OWG5WGaHbhq6Lq4uc16XUwNhmszlvZakatAk5khRLPnU7yRB05OcxkczWLAWG+U1pzjoqB4Qr4a0GAK3t7fM2pZUCmWdqPcMSL9xIeUvKaRSPh75DIyNLE5mbLZrTk/vEaaGm/WaxaqnaWbUZSXpAKgxTT/zMkXchONJKMmmP+/jC70BJEPO0ZqdpJ2qHjAGYwqKqtTp5bNvPjk2k8X69uaS+aylampMDFgjpEoynM3ali+//jovv/RYyp2Lgqura97/4AO22z0vv/wyZ2d3aJqW7X7LzbUUqTRNzXvvvadfqMABU4CPPn5Cs1gKdvlC1giKy9roKUzg8eP72DBi8Ix+ZBx6Tk5Oub65oaqqTCAdOsnbr5uGwjl2+x2bzUYJUQkPk0l4ym5bp1LNuhbzzziNKp8UI8ts1rLf9ZRtK+1nTmKSh7GXCSPJNhUWu7q+zpBMCr0rC4Exgg8sFwt88Pjea9RwqmQUrXXycpRlwWaz0Snf0g89Td0QOfakSq6OLLiJdB6GQZ6zEglrURYUTrwHwyCRClVVZRfzq6++ynvvvZsNX85Zqqpms76l1GKaRFhPk+fk9ITtdkdRaFiYwmGz2YxxEvVO13Us5gvpO9bAvDTRpmspkXWnJ6c5QC5FRYtjNeQTwTgONO2cEA23m47DZAm2Imq7VD45cJR6Gjyz1tGWFoJcq9ZEPvrwvay6Ep+KwdaivPLGi0olpW/6F7qwOWbYv/TSYz598gkYqcdUyRw/93M/xy//8i8zWkkzPeipTOg5oycAgbJiCBRJbqmj7jAMNLW0hQH5uUW9c8T2rU7qQTF568Q/EPFZdpsksvfO7+kG73Sz91kAYJzcC/0goXOuLAUiHgYtYZHu6PQ6SZ8vaAS4cG5p87DOZjmp956qlP7qoihoy1a+Fz2RdNpqNk4jo59o2gbjbN70/XgkdTGR5fJENh1jefsHb2OqEluJSKDTiPQcihrkVPJi5EOWsOZP9vM9vvAqIGvly7cZj09ZIE6iIKxVYs5o76hTQtXkm+b66pK+OzBrGlInrFc5l9eaSR8iwzjS9YOExqlDs2lq3vzqG/zsz/4+Xnv1Mdv1DR998C5DL7b/ECaeXzxHClEGpmjYdj3PLq+xZaXl0ZpmmHFcmd4WleWl81Pi1NP3HYf9ntmsFbLNT9RNTWqcGsdRHcd13gyTuqkoj58DilPm3PsoN944jp9JnzTWcu/eA4nVAK6urmmblt12x24nUM35vXvc3q6zs1DIvFb6XjGCUxbSWepSdIERM11Rluz3u7wQjrog5XKWcaKua5XPiuIhFVrId2/y5h9DyHCJqLUKxnHEafvYOIn7uW3brBSpKml3e+eddwgh5pNI07QSoFfINeP9C+R/cYyxACmoSeab7W7LarXicDjgCoEI00I6DFL00h0OqjaTO7UoCiF7Vc4pUkVL14sRrG1bFvMFxlhubjcMY6QbI9hSF3/9rnRSDbkFLDBrSionJLqYEV3Oivd+YrlYcH7vnJmqnRLH4awonpJcNv37JEjTwLNnT+VnC5cdtE1d8yv/6FewxrI/HPj617/OX/gL/yWNEsFC0qqJTxej7XYrOVfDQN93mQshpsiHFJESM0yXFDrTNCoxPumEL/p9lEupilJzp8gQSDJTpROw7mhyUok67IWg1/CC2XxGU4sKKZXf+MkzauFONrLpBm/SZxWj1m/6fJ1NflLXvpDARVFQ1RV1XdM0jUShI85mp2ZRUU3B5IXDWi4WPHnyhNXqhGhgDF4gJmNYLBYsFotjAijylTnnstoJRUDEB/T5Hl/oE4Cq8IUotQYTtPg46We9J/oAVvTAIUSk1TdqSciBsT+wmM1FMWQ1yRPV7iORtuLMjVmNEbyHOHHx/IoQxAQ0m8344IMP6fuBV155RbBgrajDFQzDBEXNJ58+y1lCRVFRaVOX6IcHKmupCsO9syWlDdRFpDuMzFohWff7AyHAft/hComsfvjoIRfPLsBE/Diy6w6y0LqCk9MTbUOz6pYeGDTbZ/Seqm3kgtQQMmMtjUYvXF/dMvggpLQruF2vWa5WbLdbIpYnnz5lvlhofk2BK2yOi07F5RCxk+CcRVnkJqZpEvdpkpbaFyS2CetOuGXTNNLspR25MYhrO5XVl1XFbrdX7LzIeGpK3SxUKCCRCq1q/UcK56hmMzHXtAIJbdYbUV/gaNoUf10rpCbFKH7y9MOAQaLDffQUZcV2KwmWAh319IMojKwrqDQPyblj7/M4jDSN/HyyIA6agirDScQH6IaAq2Zcbzu8qwCHyePeUQ4tCxCUxlMyUjnB/hP2LLDIJG1qQ5eJQVc4iRJQ4yRGklKN4tNS8HM0tsnpsWR9u2a1Wgl0FSPWCXe1Xt/y5Mkn/OLf+tvcPTtjt9tm+C1ENPdopG2qbLiS6ThmnBrIOH3K2CEeT6/SpDcxjQE0qiMopt40rYg+VBk4TpKJMw6T+gY0LkYNVlY3AasSzTRoiLJGHOLzhZwoJbJ8yq+7qismbT5LSbcxHPsnKIu8SRSJoA2iyAmq0vEvSKulK0H6JjBQmpKmLLl/9yWur9Y8/fSKiKXzE74uuXv3LnMMF8+e0fU9fd+LIMN7Xnv1VUIoVGlX5s0vydk/z+OLvQEYUTsIsRF1Z33BbasXvytKrNPChP1OJrFx5N69exjkYqvqStQew4jXkohJJ4vEnpdFyafXV3z4wYeywE8TVWG5urriyZMnvPrqa3nh8j4w+glXlLz08qt869e/zTgFnd4mqrrEvRDyRYyU1lA4w8uPHuGHjqoqFNIQCOL+/fvcXN+I23UclHzd8sknn1CXteCJ4wAxUtc1ZVlxfXXFrJ3lKAVrBY6ZtKD8oBBK1/XUrXStej+x3W5F317VtE2rcc9WMu4V9rCaPpmatLpuyHwKpKJwNdAkxYdOrdYarBF4xluvum75M4FrxNA1TaL+WC4XHA77rOKIIWA0xyXVO4agOeshAoMOPjodZrIvnXgGTk5OJccohCy3TIR1WZbc3t7mBM80AyepbVCeJvXoNk3DycmKvuu5vb2lriv2hwNN3ciGqVEjqZQDp8qQEITAdk6ipdVgtFguuHx+QVE1WFfiKfHWEI3LC2Qie4UohRAnCgcn8xmlQ0PojsU6YnCUeyQ1uiXzXCIOpbtBpIwxCKdy2B8wRaWLtJyeo4e/9Jf+a/7Mv/dnmC9nAIxj4LVXXiMGw/XVLX/n7/6Sftk6UFmLIWifser0DdLS5o8ihjStp4lfNvEjDCOSXMkICiYlgyrMYexnFHaJfHbRimLHp+A5MYL64HMUSFbmqHgkcYyEiO8nUoSCtZLlZBQ2LKuKGAKb3R5RfI0sF0sK7Z/YdWK0k3x/KzJm5SowEocSYsSoQigXycRANLA6WfGrv/qrFK5W7spyO3XU8zkg19H89JSmaSirivV6Q93UpNaz/X4v/F2QdSHfaJ/j8YXeAAQC0sArV2BMwNgCW1iVgDlV+9i8iDZNK5JBnX6msefQdXRdz2w+FwwWPkP2yII5MBiJYa7qWvt9B8LkePmlR0J2JmI5RgKBsp6x3u74je9+n6pqZMLAYOokXRXtOz5QOMP56ZLzswX73S3WwHbQkLIobtabmxu6rmMYeharFdvNVgg8o96EGCiNEKbOWmZtK1HZKkNM8bRVIfHDpycnTJNnu9sKUZk+o7rOPIIrKtbrNWdnZ6zXG5yV3JS6qhnHQVNR1aBm5XVM08T53XusN2uA7Jw8HA5ZApmgnWkas/YZBEKqKjkar2/XuaM1KZsoAH88cqfFSzpiHTfXNxkT90peJks8HJvGhH+AcRhVSidqJGctpjTZD7Lf7Viulqr0OihBabI5S2S2PdvNWuCMccxuYoBhHMV9PYz5ehJsVxaiuZYB7XZbYpA2tOVyyWa9wRYlozdsuwHbNBhbqr4/ZRslEltKw02cJDQuTPgYKFxz1KNrdEHbznKOUdKDOyumpb7rmdykxTRBv1M9sThHKjGSc4Dnz/25P8vJ6VJz7WWq/vCjD/j5n/95fvEXfzETjyliQfcfSlfgpxHj0KFlzPyXdGPb7OnwXuA7ccVG5bC0AEo/Q6sqnlShOPUjkSHf4yZdg5PErPsokS6jclfJSCbFQY5pNNSVqHWSqz94nzdeMVhFnIs5LpoYOTs7Zeg7oBE3sIYmEiM319eESYao+XxBDqjTTcYk4g8IPuINQKAoBLo9OTnFmoJnT99ns++wCxFztHWNmWQD7LqejcqvQ4zaGlcwny84PS3lmlfI9/M+vtAbAMiEZ0mqiqiQj8M4J/rkSD6ypegHmUI1S72saco6q0NKjTd2qVtzkoUpEpmGkdIVvPH664zjwOjVvt8PBETLbIuC4GGIhl//je+opn9GUjiHIH0AzgkcE8YDj+/dYTGrcMbQHbayCUWRcA3DKNCO93n6Plucsd/vKUohscuiFFld4SgLRxwCxMB+t809uyFEVQhAiCoRVeNRCIGmbTgcBDra7vZUda159kL27vd7/DjQzhraphY3bKHKB9X1CwkGs1nLze2Vxi10RD1Gp4IUCZfrmLxk7pdlIS5H3Qhub240skKz+fXGEbVMYLGcyylhHPNN0x32otcuCmI0+DBBDFoGpIY2lT0KxyLf9+OXHvP84jm9GrussdSNVGMulwuqas6hO1AWZa5uLMuSIgR22zXn5+dIp7LAGW3bSCiefjenpyfcXN8wm7dst7vMSxhjuL65oShLduMeEDghva9hmKjnp9xuOgbTwJDkqiFPqCAkndNNZVYXVC5iTVDXs4QRWiMnyUSgTuNIVVbsdzuats0KKbRfPWroGJEc6jcYsFFawEBjzBVikchmeZRlyTf/3jezO15uNbnpopYqOeXoUKg1KO7fHQ7M5gv6YYQ0vRfKszgn6Zox4sOxHtOkuGXlKcSQ5pAeCIGlgpeID8qCcRKexBOxhaEglfYk96zBmkB32OUNcBql34IIxjlMtNpNkOomA15PkumbMUSCnyjKgqYuKGYNJmr3b/BMo8BE+92BQ38gcOTPqroCAhjP6mTOYjZn2MH7H3yEMSXf+IM/TXu65Afv/Tb7zZrT1Rm+G9jtpIFu8oE4SpRJEk3EtE7FwGa9+dzr6xd6A8iaf6KWaUNRSt1byhN5MeUzESGJbJqURCo14XM+l+nIVHJh9l1PURZZRpaOoum5/egVVhHuYZw8PkR23cB3v/82ZTOTZ074AeTpnDDBNPIzX/spDutr7UYdFBeXqWscZIEripKUD94WLev1OoeUJby40ojlqiw5HDq8j7giSgy1qhmSpLAoBG5IZqxEClVVlfmTXonIFMwlevRGQqVKmYIOhwNgqOuG5WrFzc01hW4Gi/mC/WEvrV7zeY5eLgpxUYdwLBXf7fcaJyzTohzxJR00BA0oU2VFdAJbSQJo6ooNhEmUGT6knJyCMU4apibhgJJDM8uaeoD3P3hfp0SNCncxp1yKGmrKmu6k4kgF86vVUj4DvQ5TlEc7a+m6nmma2Gy2NE3NzfUN7WzGoesYRymvmc/nOVaiLCrd4Cs6dVevNzvG4LD6PtM1mFznolE3WALWIpLTacxKnrqqsc5kB3NV6fE/inPUWMutdjFUlUyIRVLG6bVVVBofXNYkhzPG5Ocnvy5AXbUJ5kuLf3rtEfK9lEjeI6aHxG/o67LuaI5Lz1PqMGNtmWGSFJYWcyH8EUJJJk04mgmtM4ISxOPPB6/PqREr1lrKppG01hCk5Y0on58SySkYsnKShRWi9B/7SUriRdVV4QqLM9oxrRtAMq4562hnLbOF+AqKUkyZXXfgdn2NK+DLX/lZbq7WOCexKldXV1x961tsp56f+H0/yaxt2KzXGK9uYOcoTIqyUT+Fk8C7EMWsmKC0z/P4QquAYoRDPxCiYTZfSEyy/oEw+hPWRCwR50QWZVUGEjTzpe8kI75VJ+thL4tWDCGbWJJ6IAZZ8Mehp+8OoB4EQG5Wb/mVb32HH/zwdyiqlhBURRSPjsjCWgies0XLT375VfY3l5RlgkMm+qHPlnHpVS2oypK6rMRxqhd30i43lRRA+8nTdz3rTdLNO/29LnslvDYpdV2XJ/L1ep1hBGMss9mMWTujLAse3H8gWTjG8ODBfYjHbKMYI/fv35emISN1iIk4dFZCxQyGWTvDIvb/ptHX6idd8JWc1AnuGK9ckeKQx3FUVdCo6h7Z8HJrkirArFWizTkO+4Omfk4M/cD9B/czT5Fr/PQmqbRoe5zUWTxO2UdQqMol6Gcd9XM0wPn5uZ5khGsYtRazH0T29wf+wO+HKBLYw16gL5AAt8V8IXESfU+jUFRSlfgQqOqWMVj64Ii20DRTPrOYolIFEyeqwrCYt0CkadoMl/TDoMmpEu/Qtq18XupqreqKk9NTVicnVFWd87SmaVRISqC9pGb6zCakr0EewvXkNF1d1F9Emo0u8kmGnBzcSeGTSuzF0WwzbzRNPkdgTNOUo0oqVbsZpAfCILWc1hiknliko6L5J79up7CUcHsmQ8hJ5RVVwSOKmZLCqSPfFlmh41yR30/fD2x3W6ZROjtyvzgSEJcaBYP3dH3H6EdC1P4GI8OodaL2SQaxorDcuXPKw0fn9L0E6b311ltcXl7hypIxBKYYsGWpPM2UF/+kckwJCUkVlHLLjD3mAn2exxd6AzDW0s5XlHVLNE4DuRwxjPjhwNTvmLodY7+j32/ouy19t6PvD1xdXbLdbqjrhux0NAZXFNze3nI4SKXbNI5SlqELlxQ6S/JfWZUYV1A1C55drvn177yNKWeEKHpdY9JOb2mqmtJZKjPy6GzG3WWDH3YYJ2Yu7wOVZrDs9iKztMYIAZUKHGJQGZ26W4M0hsmx2HPv/n2Nt/VqTDkqHqZJ8vxFydABlsOh16J1lx2+u/1O4hJ8ZLte87Wv/RTOWZ4/ey5TWFWKW9MYri6vAHj48JE0jJUl0yhEW60LSgxSYjIMPWMvU7GQyFM2zBiTYDrPOPQKW0hMdVkWcqIJga7r9Vhr9Ojvs7R0UohnHEcePXzEbrfTBS9y+fxSydugBPrIbCYu5b6XOOv5Ypk31rQRyLE/qqt5hrVQV2Im2u/3Cp21oFEF1kn8x2635bfffhtnDPvdjtQjMAxywpvGkVk7wxmYRpG/DuOID1F6dnvPdgBXzXBFRa01pUnumVM0o2feltQVGO1+EOhwji1KnEp9jbVUtZTGY4QwxlqKssK6kmgsrqxwZaVkslRaOmeFSCbkSZpEYicJKipDNfYzG0Ry1yayFxKQKtHb6Xtzyu8UVSVKOK25TLxBVdd6j6os23tejDkG2VQrjdtG+Qrii7n3+lxWTwJ+FOUQumlYaQG0qtLBiLPbxwjGkbrFjW4eiby2+n0kWWmMERRa7XupJB11E5jU5BWBfpoIBjwTgYlpGugOe4bhQIxe3dYTZ3cWhCAdCJ9++in7rmOMEWtLTF3SNrWWVRVEKxyCwGVWXP6Vku1FobBjOuH8c6ICMqoykV/L1OOnKUezGpVfRdXeivMXikJy3NO/kTKynRpVlssliaiDo57e+0nau2yapiOHfuLb3/oOwxgEr9TykBT2Za3FGQhDz2re8PDeOYf9hnHoqJuG/X7HnTt3eP78GbFCi9YB5S6IMJvPMAqVgEyuwziIMSoKtl+UBc+ePRMdvbUUxjBXYvRwELgn+InZrM0bh7ilzWcqF42xrFYnzOdzPn3yhG9/+9tUurCOw0BZlZrzovi6s1xdy0bQ94O6ZA8SF6HyOFc42kYqK/t+YL/f8+DBA65vbvJ3WValELIqR40h0mpV46i9qSmtsygKrYyUTTnJ7/a7HQa4vLxUMtZl+aMhZqNYqy7mtm218H6mJw3hIJaLJVfXV8eQOitGOoORiOrlkvVmI0S4wnQhBgojPQtDL2FvVSWVhMTI4SCO4bZtOBwim82aUnHysijxGIngLhp2245gq4xtJ6cskOEmCNRVQYo3KAt5btGZy3OnOszkRUgqMICoefhGpbjov9FPPU1dqYkyIUZp6SbJY7Lm9LjwKygUX4hAVzgxbQaywIdMMk/ThJ88J6engGHCK7Zukogv3wdpCIqCUdKPg8YoBI3t7iidgxiyRDM5wRNkll5LTrU1MSuCREAkm1XwPm9aPoRjRLqsGLJZWOmSkFNEyURSWlk8GvyoisRer2cppJJrxceA0804ELOXAH2dyZ3+ycdPIcz58pe/wsXlDWM/5Y11tVpSlRV2DBhSpMhE00jyaCpq0pdNEoPY/x+dwF/oEwDIDl46izUyEaXpV2zfko9uiwpX1pRVSztbqFQz6sIv4WPb7VqmByPKHLHRB6Kf6PsDQ9+RkMwpwtn5Q9796Cnfe/vHFPVC8H4jx8JxGBlHwQPD0GEOa37/19/gzqrmsL0hepHk7XdbCuvYbbdUpZRdCGzRZ/y90Vatfugpy1Iai3wiNEUXL13A0n5VVzUnp6dsdzv6fuB2veHe/fuA4ermlucXlwzjlLtWk3lKZHOC+5ZVxcXFBcvVUlyw48hisWC5XFEWgnkO/ZAD2Ya+wxUWawWzDWHCR88UPQG56Xb7HdvNVjDKsuTy8ooUEFYUAte0GoAW9Kbrh4Hd/qAR1vJ9l0WZQ/bSBluWJdaJWmimun6I9FpKvt1u1b08kJqeikLe62w2EzGALiYxBG5ub5jPWsahx/uRqiiYxpGiqtjudhhjaWoBxq4AACAASURBVKqG/W7HrG0pXYHTY3epKqdhmhi9pyglpKuuxOF6fX0JiEIjRJkMJz8xDJ43fuKnud5OeCPKtah4Suaw9DQXo8cZz6xxlDZSaKyCmP0sbd1gYsxkb1q5m7qmrkqqqmTWNlRlSVk4rBEJcrffUpYKOdZSAtQ2mllkLYW1GHeETJIj90U4KHkH0kax3e7ySdSHCaPGvGkadUOURj1RJwSCn4hhghCULO0heF3YJRBxmgb8NNL3HcMonczeR/pxIhrLOHlCNEJYa+mKsRIBg7Ei4XUiFjDWSTa/dXnISGqjpDAy5sjjpbeXYN1eT27YAqwjGod1FRHH5CPGOGIw0uoXxV0fFBYWhakwK7Yocr0lJnL/4X1ubm5xrqUsZ0w+CDdkDZMf8X5kMZsRVMkk37/Tk4lwWk4jqeWhCaXueFL7PI8v9AkgalzDOPSQUvlIjkM5MhorCocUJStHPUMwySEocQZ1VWVy0FnyIoMe9ZweAftxYt8N/KNf//uUVQMqzUuHc6+nhrqwOGDRtrz88A677Q2WwKgTSko+tC/om7M0FP3ejJBGCatMGuHXXnuNp0+f5tdorWUYJqqqYL+XDHaZuIVHePLkCUVZUpalWPf1Ih7HkbqqSdENUvbtubi4xJjAuBlYLhaZZE8a9Rcnca/Yd3JqJrNJCrmS34dHDx9xeXlJ1/cSHW1t/g5Tafw4jrRNQ9u27A8HqqpWZZJwJMlM1fd9btiSyS5inKimur6Tlq5xJCKfV1WVpJgQHybGESUVnfYg1/JzRcF8NmN1suL6+pqlBm3tDwfZWPwkufzrNacnJ4zjwM3NjU5kQjj2muHz8ssv8/Tp08y/DLopVZXAlH3f55MVxlI2Lb/+3bcIuLzZTX6i1nykmAD0GDBxYtYU0uylyimn7W/pdcQYaOpKZcB6vxAYB1FKBeBwEN+GVC967pyeZsmoMVA1JcMgef5PbzZsdgeCn8BandLNC+KKF+5LvYANhj/0h/4Qb731PQRzh7YuKAo5gfRdT6wbIJDa6iBN6jIE5CwvtP9b1TeFczJ16ybrCrl3QtR61iyS0NjrmClsGQqtodbBI22sGKMcg8sKnxhChruO15DAQ9YVeJWJRgNWo8CdteBD3izKssRV4rsoLISoHhXlSlwhUlWvZUk+Trz00mOshd9++10+efoRm/VeXpdxlM4yawqWS6l1DcqDOc3IKpT4TekCEg3BZ8j9z/v4Qm8AAP3hQPoCkxzNGs2V8SL1kqOVBL/tdluapskLmXDCIf8bbSMKlIQvBu/1+BrAFPzmd3/A4CMUFYP3ihvqRGQN1ogruTKeVx/dxxIgjnSHgdlswXK55NnzZyTlxXyxYKNwRNdJAXrhrCZe6nRrUFWOuFw/ffKEiPSaCsYYwViJoXbHKsxB87+jKhiiLsjee2kMclLWspgvNHcHTk5WiFRzzEf3FFFRVrKBLBdLNttNhtF6nUwkyjYR4+KadTZ1416IUisETk5W6niV8LNec3yscfjgc6pj0sonwjYFtjkrWUDJj6DoR+5yHfqeszt3eP78OeM4sVqtJGd/vtAAtIbNeiNRE+r+lk1YnvPi4gKDYZwm5vOFbKhty/XNdcbyry6vZBGpa4mIOHQvQGlW+hhU5rpaLrm8vKBuxFmcOoX7rqesaja7A9vJ402tGfWypiac+4itR5wVSLApheRM0tQQgsBi1mRlWvou0gZRFqXWHcoilSoWK72XUjLp7e0t1kopT4wyIHl/gyzimow5aSG6TzCVPcI26fUCb731lnJWFcvFnPOzJU3pmM3mlIVAZAkawohoAo4b3qgRykZPHUI0x+wsFmxbDJDOuHyyK4BRgyGlzMjm6x4Mw+DzNdW0raax6uLe9fk9BYV5ImCiwFNBr0nB+nt1xkeFXPVi1E0tmb2GflSuS6JYCt2giCF3g8tHGLFVwTBOfPLRE0JwnJyc8OjhY370zrsYHJOJNK1cV9FLcY0phHtwwYmpLqmjnJwfk/oq9Ul83sfvCgIyxvwHxpi3jDHfN8b8j8aYxhjzJWPMrxhjfmSM+Z+MMZX+bK3//47++ev/1CeIWm6tJEdZ1pRlgytKMI6qrgUjs2IMSwFiwQtUZImYGDBRgqkskgwpnQJeTgSTZxgD+zHw9/+vX2HCYVwl23e0JEOONVAVBW1hWbUlD+6siGEkEtht93gvN9bzi+c0TSsFDd7nmy1ME7OmYew6TIzM21ZI0VHs3VVZ6XsV09JqucqSu6AkcF2L2SwgJU3j5CmrmhBkMtrtd1qr6Hj44AEGVL4q8cSrk5XGMh8wttDY604nI0etmT7DOPDKy4+lUk9vzOTadc5JAcY45mO8MUZ7dkV5cTjsZZpL+HJIGK1AMaUrWMznHA4Hzs/PxZlbSKiYfJ8ydTptfDocOoHJuj6bla6vriFI8Nh6vdZExhtcUbDfSabS2A84W+BcqVCBZRjFBTvphnBze4MxUnLz2cwmeS8pP6koZNP96Z/+GeEWhp6ycEzjwNWVcBL7/Z6iqrFFiS1KirJmdxiJxYyimmWMPcSEoGhUgBfi0o8dbWVoXKTbb0VeCEJo6r1gESzfGqOmNRnYQfLyU3kLBr2+RlKvLlE4tLqpaedzyroV6LQoWM0b8D2udAJpNSWuMJSVYz6fMZu3zOcz5osZbVtTlk6yknQ3e3DvPv3hwKuPX2Zzc4Uzkbp0tHVJpRJlY8SxnTw4ZVVRFCVNO8MVJSEaxikwabMaVuJNjLFSCB9Td2+QEnlt//IaH+GDz+F8ySi42W457KUjwrmUJZSm/WMsdVI4pdC+ohAu7OT0hLquadtZ/jkZJESFJeovkXimjLKouWL73Z5+GIlYJi/4PdbgHDRVzaxecXt1w7yZ8c4779CPI1PwFEWZI03SRJ/4jcRdJE5mGuXkCceo6n8mJLAx5jHw7wNfizEejDH/M/ALwL8O/Fcxxr9qjPnvgD8F/Lf63+sY41eMMb8A/OfAv/1Peo4QAt1hT1nVVE2rwWomk1RRp7hhkPCmSiWH8QVeZH/Yq+lFpKJFUQg2FwIRQz1b8PYPf8Snz68wRU3XC1koE4+e8QxYIjZ67t85wUaPNRE/jdiy5O75Xa6vrykUtpg0jVAasiS2tlXdsUQjCwmUFtz9/kAfXphYdJJMwWInpyfc3K5FfzxNtEpqpmJo4DNFFMM48OzZs6y5HtVQ1c5k0a3qo2HKOcugLtZD1+mEKVWGdV2z3Wyo6obddodTN22CGJum1cgGmztux1FSOV8Mz1qcnrBZrxUSEefnoetYzOc8f/6cqiwgSh6MQVzfkSjkrco160ZiLOLoVcIpFZKb7VaMNZGMN9e1aO6TMczr4tcPA00tUc/GpqYoyavvh1ETVveCnVdCcrezmQTAWVGefPvb36adtVgk82a33WKLgsVywW63Q+IzRmbzCh8th2miDx6fjuvybaWbSHkSB8Fz947kQxXOYO1c8OBxEILUSHuV1QXLOVEOxegx5ngbi7+i1J+x+VqM6g1I/pPV6RllWbHZbHnw8CGvf/UNfvzee/T6s+dndwg+8Gu/9muUpeXe+TnPnz8HY7FGJMbL5ZKiKDg/u8NHH77PfNZyc3PFw/NT7t+7R98PkteUbZIykERE4RUxQiTHSDSWQn0qkaALXcz5VV47lgtXkBa/qq4o00k/xKOU1MhwlDq+fYwYPckk2DcCPqbMrmNFprxQee6khpov5llhBVpGr6eUdP8lM9s09pIk7FyOdPfp3nbyvr/8yiv86Ic/YjGTZOH33/+AQ9dhqxZTFJiylOSBELXgXTb0JFcfhsjB7qXfwxhFCBJELYmvn/fxuyWBC6A1cgXOgCfAvwL8df3z/x74N/XX/4b+P/rnP2f+KWyFtZbFcilJerpbJ+mCMWINl5TMSS96k3fopBaZz2ZUZZGzc2KUqAOs42a95Zv/5//Nx59eMHqjkEz1wg4a5eINE5UzPH5wF4cHPwBRdn177J2dxlETLlNHsNPaPM8wDpn9T5BqjEL8iCRPayqHIccZg5BoCcMn4fPjpJLJilozjowxzGZtJl6rqjrGLqhyZ7PZaFm2XJDOFcxmoiRKppwjKShxCRKiBhglkp1M0uk1yrQpm0bSSs/n86zLt9ay2255/fUv0XU9Tdtyfu8eddtIvLUXQ01d19SlSFXns5ayKLj/4D7DMFDXNbvdTpNPZToyefEU41nKCkrfx2q1oqrr/Jk4JTclG6agbcWh/Nprr+W8oxDFuj8Mx0X3ztkdUWEVhUhpNW568lPuLTbAdrvlZCW8wWq1YhhGLm929MHiSZyVEqkcJZ8y1Y6cn62IXqo933zza/zhP/xH+fKXvyp9B2VJrR2ywr1EuRa07yJl4jjrcuhhWZa5ozhtAIeD8AXtTAyMydT20uNHnN+9yxuvv8550/L6vXu01nA2n/ELf+Lf4l/7V3+OL33pVebzlu12zajX8l67dw+HfU7EjTHy6OFDDcRL3biqOFKdupxOok7jWmivEkxjjer0yYq8sihzxIt0Nwj2Pw6i7hM3vUJiNvkZjEIx2oXgfY7vSBw2xhDQUvbo9XXJgp5+Nq8pek/HGOWEkKSpCk2L5yFoV7D4Tlwh8RxZLegsq9WC25trUDTCAI8ePdTPSIZGY2Detgx68hVzqcvRF+neSmtkeu7UA/7PpA8gxvixMea/AD4ADsD/Afw6cBNjTCzER8Bj/fVj4EP9u5Mx5ha4C1y8+O8aY/408KcB7pye0I2RstSs/6hGJS+yKv15MVb5iduba3G01hVVVXJ+fkeJ5KRkkAvMFjXfeesHXN9sqKqFlLLopC+4bIqfjYz7Wx4/fMCsbQhTR2GBulSixYoE8xA5Oztju9szaOSBNYboPeM0cbJacXt7LZHHOpEKSWx14pXj9G63o6obrm9usa7gpcePef+992nahvliyV67aXeHvcoC4ebmhsViyXa74c6dM3a7iegsTVnnGkQfj+URTV3LIlZWHLoD6/VtLrAulDNoZy1ep+xJSdauV4jNlblgXTYuR9ePGc+fayTzfDbj+vqa5L147/13pXT8cODq8kL5iBN2ux3b3Yb5bJaVhn0/4EPg448+xlnLYb+ncJb5bK5lL3Nu17d0w5iDw9q2ZbPd0vfCswzTyDROekqa8JOkp/adpKwmSeo777wji4R+9yl/pqglwfOjjz8hBK8iAk/TtkzDhHMl/SDFM+MwslzO6fqBsiiYooVixmAGPtPmFSOrkxM10SXM21MwwdTR7beMxvHe7/yYwlo+fP99kmkqpdKO05iL4RPtKRtcwZQkmMDoB+Fxo5Hy8whV3VJrUFtqx7q9vWW1XDKOEy8/eshrr7zMs6dPmaaJT58+ZXNzxcnqhP72mq+/8SX+hW/8NBcXl2Atg/dcX13zwx9+l5cfP+SNN97gdN4y9APr9TafSMuyBht1+EpF6LJIZz5BJ28/jVxeXWGt5d69c2zhsqoGI4RnUTdYX3A4HFgsllxeXnJ5dYtzlrOzMwjqZcAoXKQ5VibFyR//6xTWMSpHTT0TQaHUScPlklEwnd7kmpCCpjTHWmNz6J1RCCo1r1mnBT5lwYN7L+Foef+9T5hGz4022KUob6PIwHI+w+w7GRLUH5F6EtL3F+OLCiYDRg2Un/Pxu4GAzpCp/kvADfDXgD/+j/nRJCH4x0378f/1GzH+ZeAvA7z+6iuxaWdCroSkrlG1Q5d07UeVwupEooxnZ6dSeK227JRZYoxj3/f86m/+BhGHLep8w0s3rMqoYmTqtiyWc+6/9ooETPkRYqCsRdtfqZt31ko07TpBNDHQ9wOL+SyTh/u9FIwMwyAJoTrFJ6dqcu+mI+rdu3epaymZadsZfpo08W/AT57lasF+f6DUzPGkKR6GkcePX+L58+cc9gestZoGKsqbSSeDzWarscsSy2CdOGLTkVnCuKIqnjSQzRhaTSfc7yQWeRwlW8kYkxfzspRNY7PeSCifc3nyPRykXCQqmbvb7VitViI1HUfJMooSWdFYCQzDint5u93SdYes2kmRzJBiK0Tu2tR1nuLqWhJU+6Fn6AeiEwOU0SnKT6KVryop9ljMF6RIitQY5bSPdRwGFoulNNNZw6ifeXc4gDG58nEcYTtM7HqPtHmRYURjrITAKSRZOMOsrlm0C/CDQE9lyX6/5a23viP8jw4L1srmnOLQUxvVizn6hUskcWDy4j+IRJwDo0mgyQtxUOMcBtHYq6ms67bM5nNCCPyEqq1mszmPXnrEOE7crte89NIjDHB1fUVlTnjzS39UM6lGTldLqrJQAUAgJece+pFpCrSzGdaVOXAtxqMTOU0AD+4/UNesnvQ5nv6998iwbliuVoQQuXv3Lnfv3NGYb1XEWP33YmTyqiD0nsKQRRRp7bBWNoCilErZFIedThUZOnqBPyhLgRnlRCLdFdFIDH0KuHNGKzFJBUCiiPvoo48o7ByDoaoqrm9u8N5TRAkxPPiRxXLObrdlpv3hpPeki714aQJVWRGjQFb7/R5nnbb3fb7H70YF9PPAuzHG5wDGmP8V+JeAU2NMoaeAl4FP9Oc/Al4BPlLI6AS4+ic/hcA1BhTHTnVuoyompIFJVCjPaRshTq6uLgUCKEuF8Q1FUfMPv/Vt+nHCFtJUxQtkkFVnrQkeGye+9tXXMVGcqwE06waiToPJoGQKmGLk9OxMYqg1gmIYBkIvm0t6HRKFIJhjKit3rpDSB51e1us1T58+zYXdMQrWOU5e37dhu9lK3k/XZfim1mKOi4vLjG2nWOeEbdaVcAsnqxWbzUZhBCHo0InHpMVMVVN9P0gMsrZfGWO4d+8+z58/5+zOmeSU2OL42nY7PbJLb6vk+ky5PzgRracnp1xdX3N1ecWbb36VH//4x7J5KMdwu77l7p07HLpOJmYjDkevR91xHFguF2IECsfy+ETWTt4zDOL2TRhvUQgk1XWHHPp2fn6P/UFI/JQflOIqrLNS5ahQY4qtGLXz1weJUi4LMblF49gPgd0QibZQxQx5zEmxzsQkKjCUNhD8iImSnWRI2nH5OYzk3x+6gxoD5fVJRpBJaJCudZHgI3/kj/zLxGj58IMPePu3fsBiMZMWPIyEIY4Sie6cA4/i2FJOXpSlnojkOkiSXGMtZeFZrVY5SfXOyR3KsqQsLSJ4CWw2W2IMSnQbsA5nHI2RALdx8gQm4kSGKsSAWJFMccYg+Tx6b5ZFIe7geOS7krQ3wUXywZExccl+kuGvQAlgZPIfh1EmbmXPJz+x3Wwl/+n0VBzzux0ffPghLz9+WX0O5gWpuRzBUuT2NEoGz3w+IxgJ5EtfSorDsAbaWct2u2E4eFbLuXY2B77yla/w6fNLLm83TJOnbivunp2xnC8Iu4OW/RSfMX4lEj27spGCJoF4x8+9iP9uNoAPgH/RGDNDIKCfA74FfBP4E8BfBf4d4H/Tn//f9f//of75L8Wkxfz/eMQYlOVGCVnR7aas7cIZdvs93ntOT07w08jJyVLwRevofWAaIz9+9wMuLm+o2hnYKn+Ix5OBwdoIY8fdsxPun62Yz2uePXsmagsrype6LrOaIjkEz8/vcnUp0FM66qcFt9H8ofN75zx9+ikhRtpGKh6rsqLrBvYHmdQX8yU3t2uFXpxUNXYdk5fk0kGt51VZCz8Qg0bY+iyXSyXfwodYrauT8pazszOuLq8o1MHb1jUhaHmOsQTFKifFlSWLRf6NYRgpCnGcim5/R1mW7LZ75vMFYfJMgzQX+SiKpK4fmHzI7VrdoRPde92oe1KkeHVV8eEHH8qkNk15w2qbhovLS/FwNPKeL6+vWC6XnJwsubq6lqISJdhKV4oSxAeaumG/3zOfzwUGUnK6nc3ou44I+T3t93sisFgs6A576lo2rucXz8RE5qWjuJ3NRdk1TdR1Ra/qqaaWMpuinnGz9+wniMkDAcdNgM9cxlgCZ4uWMA0YPW1Zoy5S7ylcQ9loOU3fZx29U+hP3rfR3gKbVSwA3/zmL1HXDbvdjqapM1nprNOKx2Nez6C8lSsKnPYv9KrKapomCxuIkbKSzoCyrCSBsyykuWoK+CDeAeuEAxN5smDTGChKcVvXzQxXSP6RsRKFnNQ7IQSmoIYw7f4AQKWOCYPXF0Q6M4jCSBdG63JfgDMmVzjK9ybwVz/1uVA+xWGHEDg9O9MJXiTUD+7fF7c+LstSE54vCb4TPsjzSj/4ROGcmjdDNsjF6OmGjlfu3oVocKsZH374sabs9nzve9+nni3FwRxhfziwXC457HcsSjmhJ4VSCFFX7ZjXL2dNdpULH/FPXFY/8/jdcAC/Yoz568BvABPwmwh08zeAv2qM+c/09/6K/pW/AvwPxph3kMn/Fz7P8yTiMdnlUwtVjIFnzy/FzKOLhnxIMWPaZdXwnd/8Lv0YKKpGDV36+vW/BpHXRe95eP+cykHf7ZmmTrNmErlbyYWqUshKoYarK+nIlWPvlBUYXd/R9R3TOPHs2TPFQkVquU2xAxrXYJ2kAKb2KFdIEXqh0QazmQZU2ZAv2qIoWK3kiC7RxjN2u5ANV30vE/KkNZKpACblm6duVWtMrmbshkGmVFVJjeMoC3zwjIP0+i7mgsN3nVQs9l1PjIHFfMHteq25JKJVlulHexn8lCfLEALPnj9nuVjig5cTkUYa1JVucMBivhAnrb6HmUpH5c/lhhwGiZTuhyF7JF5++WX2+13eUIrCcXbnDpvNVsQAecMUEi5p52tdzMdxYD6b5x6B/W4vm03vlSQ+dhyEEPExMnQj/RgJxioeC0nTnq+5qItW9CwXcm0JHGEEQvETVnUZVSUQg0sNTypeiHAkG/Vf9t6D00pQZDq8vb3h7OxMlElR74dShAERuUe6vmOxENhL2tW0stBqcxgmk+LjOOKmRIzK55UHqRfyfY4xzsqlpbwsLR9KvFLMfgBIJS7SiYs4rYeRjOF7LzHLMV3/Tk9jonSKUVvMyuL/4e5NYjVNrzSh5x2++Z/uFHOm067Bc7fbZVxVtAU0iGnDrsUK9QIWzRI2lESjUu/YIUFLlIQYxNClFiBEL5C6EVVtF7jcrqo0OdguO+2stDMyIu78T9/4TizOed//RlOCKMEi5GulI/PGHf7h+857znOeIVm4xBddSAElCCkwxlAAPHsJRYjHe4+TkxNEb69oEaOVQtXU8M6znuEu4+5AI6XnS0aF0Sguz3Oe/oj3rzPOPhAZ3nvvPRwfnSLLMhTshGuMweSBIC1MRr+nqitgjKy37CCkCwfTxjiZWEPLcB88hPp/5Na89PH/SQgWQvhtAL/9T3z6QwBf/3O+dgDw1/+ivyNyhqU4GHmRNYJJDBkpRMK3paIL7eLqCj/80dtQeQMhM0hB6T6xK8uzHN4YSASUmcLnv/Rl3Fw9h5bANBJmTPa5JICqqgK7PVn/xuXWOJLrZkweioKUePF55yj8Y7dlX3yyAIhYclmUGCdSjG7Wa4YqJHa7HVkJG+qY9/uWiuxshuurayhFE0Lb7omyqti8LI2dJCSJ7ptp8YVA2ch1TVALU9Nu12saZxEwq2fY7nZs6qZTNxex8hg+n+cZ6rrG0PcEZ3mPh48e4vnzczjpMI1TMm+LTAjiV1MBiPBUNAurSp4MxoGj/4hBEf19LB/yieobAmckl4jOjVVZoes6/OSDDwi75d9ZFAXGYUwMGu8DrKEO3lqTur4iJ/JA9FIJzuFmvWGjOMVdK43cWtMSsqxn8KrAZt3BQae2P3X/uPPvISAEg6bKkGtOlWNqqgkesxlNLFFDotkN0jumATLcV9Z1gi+9C+y9E2MQCTtfrVYIISR67jAQw0iKg1iwKgoMXYvFYslFEZiMxXq9wTD0aJoay+US4zSiyPP0jMiGRaSDOj3ncDBw84EEUT5EDF2QWBHgQnvHVjoERBV6CsOJi1XFDp06YBpGnvosd8sOLT+GEDxpL7SGkpQtMU3k9Go9G6oJonUKeVgCU02JBxA9HmcNnPcoywIIBy+mOEkkK23OooiBORM3UAAhBFmWYzIDlBYoK40nj9/An/7gJ7h370H6WWsmSoB/h5MSm6FFVVeYhhGNImpsbG7o0HnZ8dPzjoP2Qr9AVhB0qhIzwLD6DeApIARIEBU0msAprbFrO/z4vR/BekDmDSAUYg5oGhh9QL/fIZcBbzw8g9YC/e4ahaKFYVFkUJI26X3f0w3EXVrsPhxjozEWMXq9j+OAeb5IKUZj32G1XCZDspjoAwgsl5xE1XdYLOaJxrdYrHB1dYmiqCAVOKwkRhjSItY5h2maUFYKM7YvyJmpQowFsMkVsFzM0bYtECRkpiFEAERAUZDgZZhG5EWGyVjsdjsIUL4vqUwPC2FnJpwcrXB7e4vgKZBGa43BGBRS4ur6BkVVYpomzOaztFgOQFoIO2upMCuVQr6bpmFISKKqG17wEkWUpP7EyJmmkWMn+YDgxWcIPsFtQgh0fYc8p4VqRm84gnfIM6JvZjqD92RApqVEXeaYjIGxFKriR/qd3jssFjO0+y4ts2VRIsCj6wconcNC4ZOLawRZQGjqmpM1sgjpeiOmhsWj+0fwZiQrY6VQ5A1f7fS1xlhijchDhONkDNM9qYj2wwHCIHdcx7Rde2ehysUOkaECeGfhncFgBhR84AdnsLm9ZsiPlMTL5Twx6CgXeIkYb0qPkRbeUcSGl6BUhmkEcHN7S7s4TWJEMmMTAIhsABYLRoxd8PXg/OHnBSA50eosgwY1DhTT6BACF3OpEIKjtC3n4QfaJUnBmIGn/ZuUSNOLtRNPTYqvEfp9URMQ41/jtByZNvHv4+PLMjIVjMZz4zRy7egwTR2EMvi1r/9VvPO993Hv7DEu+xtM44T9roX3DsM0QgUBXZAVjYfHyckx8r6HsIEjMSM7kSagSG/lQkmvIZOq/iJK4Nf6AAjBYxwGwhD5wnLOcqfLHOIACLYj+Pjp6m3kvwAAIABJREFUc2x3e1gfQBIHAYSDt37skDQ8iizgyYN7sKYFhMK020NCom5qCo+pyRKgbmru9gbuQCWyTGMcJxwfHWOz2UArjaOjIyrKLB2XQiQe/DAMcNZz90K8dwrupui2pm7Qs0naMI7IHDlWRgohicImQADOOkyGYg7n8znW6w2Wq1VartKylfzpy7LAvdNTfPCTDzBrZhA4ZCyTbN6i63vuaKi7HhyFy2QZde91VaLrSUlJy/ZrlGWBsqrRdT0vX2mMV0ondkykrFJsJ3Wcfd9zgLbEjGPzRraQJp978oMZhpEzAzTW61t44w/7oAwY2okFdVQcrDVJNe2cRVmSEVpe5NhuNkSjbRqyHQjURWmtkigsMsEMw0haa54uXWJVUEJbxstXDaVzGC9wcbWB1CV8shr+v1/HkTxQFRLBG2hNTQ0QQ8odolGfYPuJWADBSz7NOgZjprR8BAKcC0wl1ohhRKTJcHxoEcShsyigoj7Ksf1CzOudxgHed6kAjtzYrJYL6jzjNzKz5gCfqQR1RJw6wjlHR0eJaZRlGVEYnSMlu3Mc1K4QjDlkKQcgBj3hjuNvDLOPnbv38eAJ6fNZdKjliTzTGQXJSHmneYx7GMoioGWu5vdJQEpgHGkvIoXg+FjBpYSevzGkETlEa1K5ifBmzAVxIiDLFOarBpv1Gg8ePMDPPvoYi/kx6rrGcrHEer3F9XqDtu+hPKCq6qDFsRbCHw7VGJJ0d6Gt7jCD6G04TGGv8vFaHwCEb8XcV87i9QdObJACu32LyXpcXa3RjRPdEJLohIK7MAVg6DoURQYRHE6PGjRVA4EJSgiIQHFtAoLpgFREZ7OG84RJQLNYkKK1aRp453Fxfo6KQ1zIz0RCSU1BNSqqCz2Cp8IUhEDNsFXbtpyHq3Hv/n389Cc/QQhEXez7IfGII23UDAZNXSepOkJA1/dYrVakH8ho9F2vb3FytELf9+g7i48/JojGe6LgjeMIpTWOmppDzYlH7yyNy1lGXHktJbQSpGtQinFnjSYv4IPHvu0QggCEgpBx/JWoyjL56QfnEsaZFwXn1lKQxjgOgJAoCpoMhFJkfcCvY1R5K53RlGc95osVrLOo6gxtS1NT13Xwjl5HHzyKouaiI9C2PZTKYSYH50ic451DWZXYbPY4Pj6G0hm/3gJZTrYI4zRht9sxVZCM03SmMV/Msd+36IYRs+U9XG/3MEEjiAPsJ/68EwAedeZxdrSENROspwByKSja0lmXFu5lUUJImeA7KWOCmk0Hdew4gZD2YxR4z9YSvBgvygJXV1eoOYkLiEZsvKMQgg+GcMdTiHYSnvUwt9cXyPOChUeC92Aegl1flZJJYYyANPlGsWHwHl76pGKNAqvIarHWQvL9nbprT9138juSL9shxOkmQoHAIbs3yyjPQrLdi097icM+JuAQRJ9lEuBJ2VkH4wNNmd4ieEGZDoy9iwi7eZcgOII1FSuFCV4Snpb0SgE6U3j06AEuzq8wDWR8GuvZ0A84PTmGlAI/+uCnlGXsyV1ASYGyKJAFme49xQdmfO/5VE72GJK1BOoXZQKIF6RlTC6qZSNbResKw+Tx9NkLQJDzJ7PH6EOQhYPwAV/83K/i+bOf4+T4GMEOEMFTEIWWaZQl33CfOsTIUjEcckKjPBVkUhYzzdLTpNLM5ohzGC127AFrZFEIceFpHM+yEtNk8PTjjxEC2KbCJ8MvdQczV4o66a7tUDekDRBSoB96NmkjmMWzJ38cR6N3SFEU6SAbxhGG1a/UcQkImaHkYkx+SuQro6TEft8ihpU7Lup936FhzFpHO2WGeIKnG6oo8sTo8Nw1AsR1nsYRWVGSI6TM4YNApnMITbRA5+0dZaWA6XtstltaBlcNpBzQtR1CoInFebJdHqcBWmpYS0Iv4o579B29br0hc7KHjx6h3e/hnEVV19hs1mhmc55Y2IdIHAzrAgRubtcIQiKv5ri42cIJjQDBBm9/XuGnC7HMNZ48OIMZOyIc+BhSQjey4p2D1hm7PNI/mu0EPO++iEigU5GmHYCD0NSFBxZ8xTyFq6tLjht1vCylR5XnxPCKMFIf4Zw7/k2Cu/amqWGM5bwBz3GHpPqO0YnAARoRbKFSsE6G4Ar63XSf0Y5htVpRgEogSmsmdbItoaLNWb/MegJPAkopSDA0KXiBHyh7IMIwEeOX3FQ4DodJp3QsEhEyYfYV2b+Q8ZoIgWFCB2NdWmZLhqriPR0PKapLPpmxOecwuQnWjSiLGnZaQ6scTUPRm1oqziUBTk9OsNlscHOzQScBC0fZBy4kkkhsRjQbzUXqZ+CmOH4kC4pX/Hit8wAkY1sZe8rHJ+sDsG97/NEffw/PX1zBBwnnXsYhpSQ+hQgBSgRsbq6xqDLMSw0tyA5aCpHEN/HUjAu+EAL2+32CB4QQaNs9gEBL4mlKtqsCAmVZQjL1syxLGGuSIEMyqyJCUbOmof/mk9t7x5Q7nSid6g5jp2L8vO8HrFYrDH0Pw5qCNHZyoRZC4itf+UoSmQ3DwAcDHXJFWRI8xcvO6HIoITAMREmd2IYiQh+LxYKnHoIquq4nmmrXpVjNiElOZkLf94cFPQeSOGtxcnKCsqrgnEMzm7GttCT6KnOn4/sXIyUj/bFpmpQZe3t7C4Cw6Nj1aE1dE71WMsUjDkPPrqJEYSwKogFfXl7g05/5NFYrgu6kIPfOyNzqo2LYGIoklPS+HJ8+wHY/gdIk7gS50IWQ8GLe60EEizKX6NpdgqoePXp0uEb5oJEseItQkNYHAZ1mKxPqdA95197FxDR5B6um/ch2u8VivqBrmw/1jD3pAY6U5PCeSBPVKvLt6fc657HftywMFOn9ElIlWjBwCI1xjgqxNZaFe0OC+OJjRgg4PT2hBoubDymoiBtu9Ijbztc2219Eo8eM4z7JBoOef9QOAEhL5ywnp9Oo4k3JZQnOP9BIozOpY/fPBKc4T519iFMB5fmOQ49hoAyRmPgW84JTkBHXhi984QsQQmHWrGANkOclH+w0oTjn0A89Hj94hGAdpnFAVVLOt7eeF+YvNxdKqzTFRchJQsI7j2kY4c0vih20IHn1aEY+rckw6vvv/xCb7R5lRTnBU9eBk50hImwUKEhDBo97J8dQ8CiyClqROm9g47H7Dx9ASokXL16QG2eWcaEH84YVhmEkLYBSGIcBxycn5EQ49GRP4CjgxVgLxxdYXTcp/MT5mEoUUJUV9vsOZVHBOo951WCayJ/HWJPG4jwn5kpZEkQTeIlNCk5SJgfGS7MsR9e25FpYlnj/vfeRKQ1nLGZNwwukgNl8QWyeooSxZFvgHSVchUBGW3aacP/+fdzc3KDd79HUMwzDmGAVH3wyZsuURs6KSAAIUNyxyJRLbL3DbNZADIJsGKRAXvNeZSR6IU1Xjm0eaqbeegS+6S2oO3bWQahYDBSMmQ7QIOOjAgI6y1JEZHw9J+9ge5sosXme4d133k3eKUVZ8pSpUDYlbm5u0XYkXJNk/w4bgPPLNWxQ8IJFXbHyiJevWwAQweHBvWMUGgiWbCGkEHjx4gWKIk+YtZJkfueDT95HAOWYpDQrQZPGYcEnUnGLDphUjMmmexw5R0DecThlr33v49RBmLYUAlCxgYoFJ9oiH7j3xjiMk0leQgGA1PR+MCYCgOCPON0IANvNJkEzADCbU2ayB2CnSK+krptINB4hULHO8uyOHw6JNe3kmGZKDYNQCjIAkzEUSMTEgGgHgdgtM2QWQkBg0VgE7UhlK5HHeMvAHT3NeEDwkEDC3KWk/YoEmcrRROThMwUhArOk9nC2w8c/v8LlxQ7Hx6eoypwNE0eeROgAKqWGVhLTMOL+gu7TTOt03xPxgQ+7RDKgBxock2KEQi41XDu9col9vQ+AAPQdLSk9BPrR4Dvf/UNUzQJCakzGoRt2fFCI+D5DIgDB4uz4BE2hEBzZ4ToX0PfsGR4IWyWxl0SRFxjGnoqIkMjzjAVdZEc9jCOOV0ck3b65gdYKD+4/YK9wWqpZ56C5g99zQX78+DE++eQZJmOQZ4Q3Z5nGOBkMw5CWpcaSkjbiikKQEVzf9+TXjog/+kQJm8/nnAlAJmmUSUuTRs0e6ODvSwtXvknqukbbdsgUdZfOkrr23r17+NnPfg4Pn/yCtM5SZ1YWJQfNk3SetAINJkMX3TRZzGYzgoICksAnLyi0vOs6ZHmG3WYLzVCEUgrT2JO8PVi4O+yebr9HNNqLqkfHB0PJE0pRFFAcGhJdYSczsZimIyqrd+QZFTwFbQSyjaCsXtI8xKXeOE0oy4rZJhmKPMNu30OqHPtuQpD65c7/zkcsNQKBLJbtCCEpWjNmPhQceG6jwyTf1N4RzEaMGzZ+A+A9RT0KIGHhcfKRMtIlI/YbEiPNMYNLMBkCSVNziGxMkaYvZROE5HFDsArROq1zKKoaQcjkQBkCACkhAiA0wVCR3RUPgqIsyLCvyIkrbwykoNQ5xQ6Zznk+UNjawtNS35gJkcAheBJQSnC2hE9LWKKdqgS/ElvmcCrTgpkPhPROITGWiCBBh2Vw9FpQtrFk+uUBGouWE4pFbGS6Bz5rovtnwHzRYDID1re3mM+P4axF2+6T9gAIbESY4fLmCoOdMAw95nXNVughQXt3J7NkBMerAG8dnHHY3Ozxzd//JjH+XvHjtT4AYuEaRoPvvfd9UtI2c/hA/hiJcZB83AnyyaTAg/v3UGQS1vSYhhHz2QzTNNFCSxMDx3nHQS0D8eZZQUjYOtks5FJCMvujYMO2oiyB4Nn+l+h6CAG5IiVf3w9pc//BBz8hXxGQEMeEiZZkjpZ6kjvUppnBOctUvgwDO23OZg3atkVd1bRYDSEJunbMNop4fzWfwbBD5cD8aG/oOUmtUBQlva7eQ+mMFrCCpoqqKtF1Bn/2Z3+Wgk1i4Ml6syX1NajQxKVkXMJ1HVnTGj4EpFQY7ICSVbVkYTthPiPM03JkpRSUxSzygNXREpv1mtk+BBXEzjIWPCJbEA7cdR1BTzoj6qsgCm+ekUvpfDYn1bIUyFUOCIHtdofFYo5pIibNxOleMQAnk3my13CepjVAYBgmFGWNy9sOgc24ktfMn3vhemSZwGJeQotI4QtMZxV8MHpkmYaxIR2u5LtTp8UzFQmiwgpJwiTJ8AbSMpRZH1JiYr6+4iIbCyGha8SYc8bCwKZlrQRhzJmUGPk9jwetuFMk44GfZRmCILsFgh9k6pQpveqQsJU8bALgBS12EQKUokOpKGi/ZiaajrKc7NNj127MRPefkul+ij27v/NyexbUOR8Spp30L//EISC4a07wD38uxO+JAjVuxOKEl7Q0PI2l5x2ibcdhuUs5EsByTjul+WyJfTumaZNsuh2/rzQtf/mf+ir+hdN/GR/8/CNsTY+p66GhAbZnl/ze3w1RotOBlsDOenzz9/8A612Pbnp1K4jXegcQANxsWnz3e+8jyAJQJXxQnL3puCMtkGmFKs8g3IRFqfCpByuU0mNodxCBDMCcd3Deoh86toY1QACmaYRWiky9Ao92jphHUsiE84/DiNv1GlLx4k5nGDiTNnqVDP3Aoz3L6LVGXdUpC5QYOArGssVvSUvQvCgw9D0tvZQiE7QAwualRN00WG/WkEoiL3JMZkKWawR4ZLlOXiEmun96kukTZMNh1QEYh4FeryzD1A+Q8SKXAt3QQ2UaRycnqJsGUpOcvet6nJ6eQbNNdvQEijF9xtBjjVPBo4cPCcesKlhvsd5uaDoQAtfX15iMQdt1vKykhKdxGFICGKk+2Xgvoymgqgj/Vkqg61vG8QkLjcEzFKIzp+VmpmHMgOAtK2ppunjzU5/COFH0Zdd1sM7yc+yQZzlNFWUJJRVynfGux2C0Cp9c7tB7hcALWgQqgtGUCwxfSOGxajLcP2rgpg5Rv26tSyr16FXk/MEyWSqNoqoglcZkPelYdAYhMwqZURR9ShML4c1xRxYx8VzT6yUFifY0B7GQSOiwyyKTO82Hatwn+ES1PEAmDOJIet5ZTl5EfU+pZwFInvcAECKkkn4OsbkmYylOMdBsJCR9PrqUllWVaKJCUBcfLY8jO8kx084YC+M8hFTIMrKwIBo45/2GkJbLaUEdi0nsqO/8z0cqeVwTS3JKhRBsj0KTCSSTO0AHgJB3NB9gbYGUGK2BF4DQAsZ76KzGRx+fIy8KrI6OILWiLOy2xaPHj/G1X/sa3nzzTXz4/R/h7/3d38X/9Pf/Z/zaX/kKFAshLe/d4vMhO3Z+rAIQwUN6YH1xg2fPL9BNBtvh1SGg1/oAGCeDP/3Jh9B5kVY21HmGxDawzsKaCfvtDR7fP8bxsmYln02OjtFALs/zFCpelkXiF+d5jnEamUlAp/18Rjz1loVbdV0nz+2oChSCFMjDOHI6kCb6IFP6hmFIJmkx73YYRw7NJg5+UVaEXfL4GROGAHJpjAKvaMFMPHBaFjdNg77vYM2UzMmiGCoqFJumgbEWdVVhPp+n51iVNA1Q2Al1VxPTH6PfO/nCTJTwdUe1K9in3TvPEvWDQvfi4gLOecojKCss5nPkRUH2FBN52hwdHUEqhb7ruRPOcXpGwfaQ5PJojEnU0mmcyJjNOTR1DQHqjvu+R5bTQVwx5JUxfXBipThlNRAMdX19nXYGZVmimc2QPGS0Tq8d+edYLlIS19sOTmZc4ACAYywVhfcoZowFH+DsgCIXcHZEkWd4+PAhovHcNE0YpwkBSDAf0YU1MhauEazh0lI13MHppVLIcsof0JlOBQ6BQuiJ3ijTYwEOhIiYaSATxn2wbQgBLxW0Q/Gk59u2HcMdVGApa4L3AN5HFJ0bqAOLyXMyVjzwop/O04+fwliK1zTW4ucff8wkhj3Ah3m8Z+KBGS3dtdacnqcZsovsKc2U4izVBinJbj3qSyLEysdVom+ngyEwkwqRIcSHfXrXaZISMu5PkBb1kfIaM5iVIvuTp0+f4otf+AKqiowR5/M5/tKXv4wHD+7j4tlzvP3dP8bPf/pn+MNvfxtPP35Ku7Guh7M2LZItK3xTZkJ8bpz9UGQF3n3nXVycn+OXPvNLiYjwKh+vNQRkrYPUVPxFCHAheqCwuMZZwBkczRu89cZn4EyHvmshuQu0toBWGiaydcSBXz2OI7F1eFSeNTOsVivc3NxgsZgjOkuWZUluhRmFrESePuGLVDgt2x5477FarVjxuiVmRaaTSVm82Z2bEHwMVKdFXfSz1wEJkiL7XoXb2zVzuYkeN40jhr5PbBspBIaerCViV6eUxqwh9XCW0UJwu9tCCipaMUWtrmucnJ6Sdz+osJL1RIDOC1SS9h93edbek4WBEMS6CSWZrwXvUoAMMUImSkeSCpFdNQwdvLcMKVEGcrvf4/vvfx/NjPJ5u65jqihhxCenp7DW4ubmOkVJJh8V75Ex1bGua+x3OxjOIAao0yWb38DLdZLW90OPGCgzGQPX9Tg5PcFut0PbdZBaQUqN2+1ExT92iHcv0BB4SUiuP1I4rFYziOBSstqzZ58crBeqim/N8NJPEmmHdWC7ACBsGbGoHn4nIvNFCjjrEoyYYBKhoDPi07vRwzqLoAIU1IHW6gMUO6f6ECjiM4TkeBntMPp+QD2bAYhLb16eUmVNFEghkLr1eEBSNnFMhuMdViAKLnXrJGD79Kc/g3GasDo+Toea5OV3gmtE7HqpC9f8u+LBJZn+qCXAZKM7sBFBoABY2X5YCgcwi4knnnhIxUOXbKnpIIn6gehLRi9DeGm5LKWAcQaL5Sn+0l/+Et753vex3e4Qw1rOz8+x3+2IzlvksM5hMT/Br//mb+D5xQWe7yk3JPQjhcHHqY3vzUj1jTGZ3ljACnzwo5/Ca4Vvfuf/QOt+gVhA1MjQqBZhG60VgvNQbsJn3ngEJTwyYbHd7xC8h+Wln7UGVitME7F0BMCiG3LsmxiSCT6gbVtcX1/j5OSEMGjBF5lWQJAwzCsngRAFuBhj4J3HMHTI8wJHR0e4uLhA08yQ5zn6YUgGXv0wMAbo06haVSXGfkhU05hcVdUVEAL6voPSir5uMhAIbBNNBW25mNPeYJrIE0cQ3ptlBTabDUIIzOM2qaNfLpcUYF7kODo+wjgMePbJU4J0pEbfdSjKAhAS4zCiqmt4BOz3LcqCjNqqqkJVUYEehp5EXFqhKOqUbyxADK6K81Rvb28prUqQcKkqacEdcxUSpC6AqiKPIcvv1dXVNRVYST5J1h6M5ZqmwTgSq2Ice+Z+q7SUzjMNKfME0SFoNJxrMI4jIETaeVxeXdLy1HlkzTE+eXEJqDIJvWL3lXBfgILERYCAwf3TJaSfkk9LXNQikGV4CMSA2e920JoKrGPlNAItfseB4CoKICcBXvAWOs9iqw7v7GHRyYH3sUAFRCdO6lYhwIf2XQMxYr0EH0iUxgUves1EQk/MnI5wEAA+9NJ/8P+TJ1EIdxfXPt7CAGiJSV0yFS/SbpC7qQtk5eBZZ3CwXmAIRxwo2pLvY8rJ9pCCKdZRQHgH8ozLVpqGaGkdtUQCtHBGoMcQ1fEIgckCAc5G36TDjkNEKIjzrWPxj1OE8xNmsxqLxQLf+v1v4/TkIcx4Tb8zA8oYOOM8ijxDHsgmYz5vYNwR9rYDnIcSEoqnqgj5xH1jdAelCQx48fNPcHl+iVEKXJsOjz/z1iuX2NcaAgKitBxpvNSZRqYESi3x1ptPMA4tzDTg/OI8mSGFQOHX0S1yuVxy6hEVQs1qurquEg2LFrE1rq+uICQVFqkUc+LJPC7GSgop0O67xBSZzSgb9eLiIlH49vs92zsQrn18dJT8cDJN+L/lJWueMa6fsT2xJwHMbDZL3uLWmrRLSFGIgTr9ZjZDUZBpWsS3T09PU2Zo9MAXANa3tyiLgpg6zqbO0RqDaRwSvOScQ81FaBxGLJfLJAwKgcJGfIjiIRpFyatoRvip98Sptxbr9Rp13UBnGsPQU5iMNQyFUYap0jpxxgXAeHzBFFGPqizTgnO5WCRTtu1um7KAo0tiFK0ppbDd7dKhGznwux0xx4qy5GvEoK5qNM0M1jhIpfHJs3MEKLhw6Lxi9/zSh6BCWxUZEGzi5RO8SLhCnEBD8Bj6HkVRQLOmwfP+YOLFXZblmC8WiN7vJnq7x86Yl7PxZwNIC/Jo8Rx/5l0ISErBcaTxNaKi5tgOgTrtO18vZNLIHIAvZsDwPzQt+ASjxICm5BPEWgXP+wfFjUKESw4vIX8fwuF7+TFatiyJGgdrbWqYgMNEkCYE/nfPVuHJTkPKQwPCGQJxShCSVM1lWSHjnRECmU5eX9/gxz/+cRJXJnrrnUMpfl4KUlZ/7nOfhXMOb731aRR5jvl8gaIosFgsMJ/PiehgLcOp9D4Sc0tjvV7DmClZdU9mSkFQd5+3d0QZHscR77//HtquwzCO8CGgZ+uWV/l47Q8A4PCmKikgncHposLDsxUkLKoyQwh0chO9jN7kKH5BII+X9XqN5WJJ+KKkfM5hoIJHVNOIwVMh2mw2MMYwHk0Wr56DRwJTwgjfl5zPS52SkLTkqeoKJ6cnhPkGj7qumK6p4IJL6s64+IxMISklqSQd0RVj5OFivsTnP/d5WEM5qOv1BsbaxK1ebyhWbpomrFYrVu9S1/Xk8RMEphUOI339ft9iv29TwpSEQJGXyDQFt1tLzJ2+79E0DS112fdnNpvj6voGWV4gzwvsdjtorfHw4cM7/PuoYEViuHhHmcPTNOGzn/sc3dLMwBgnwyytPBWBYRiS3fRmu+GfQeyJaZzYY8hinMakus5zSnnL8xzDOKIsK3R9zwwT6pikkBw8Q/BBdBzd3G4wmy2wbyc4kSNIDYgD7nrXc5+uS4ImtQioy5xjOnmnIDUAyRGISIvViE9HlklVNyg477ZgCM9ZlyY2Klb8M5VKGHQs9LHTjrmxsSDFjwi7gPdLkq9xAKw9cVhvd+iGCc4DzhJHPtMZeem4gPTjQiyuh6VsFEB17R7n5+eYxhHr22s4O4F2wXQw0M7pgL/Hxwu+t+8yjuKBAHEAyugxiCTajItY7g1feq6JJx9xGv67OCHRZKbZ44hDdSD40UnkRYmf/fwpLi6vcHR8gs9/4Yt8DUhI9nyKKujAxnKBca5xHMjMD/TenZ9fQkqCXePepa5q1HWDEECFX9NBWxYlRBBQQdASOAR2sEWim8bmluxbCM76x3/8J3ACcPxKnBwfv1phxesOAfHmXlAvhjJXOFktAT9CwsO7wF2kT9z3aO9qPal9RUGhGnmRY7vdpNB2SqsiWuViPkfF9spFkcNOFOw9DAN2bAwl2A7YhYBSa/IIGsdkJRADRvp+oA5PZ+S1U5YkPBvJbx2BsgOiz3qWkeVskedoO3IOvbq8wvHxETa3axRlgTwj64cf/fAHEAhYrVZwjrDz+WKOtmvJb70oMAwj5xT39Bz6Hi9evEBW5JBCoi5LzjI1rNhsefnlISaamoqqggKxGvq+h2A9QfTen8yE+WLBEZeK9Apdj6EfUDc1njx5go8++gjHp2d0uHLBGscRj588wbPnz/Hee++z/uFQuOOBYRwlbxGdzibmVLzBt/sdjk+O0fOuoO87zGdzbPc7ulEC0HZ9GpWrqoaZqODnZZZi+EopsVgssF6vqdstKzy/2qK3ClDEorqLPwOB9IaCeenwqKscVZYB3sJ7hSwv2MIghzUTQZiQ7OWj2bUSbNIWKOOBH6fjayjn4BLvXIL7Ai+yk/pcSGgdMX9xB57ymCaDjNPPrGWBnDi4XFprCIqREjrLYQPZLrdth6qs4BF48jlQQj2X2lj0aSJyVDYFMG9q3Ds9wXp9i7oqYM2IPKMCr7SAs2QLLqXm/Rx9L7iZAqirpWGE9hMxTwH8Hjjv4aeRJxT29Gc8PImiQkA3DMmqObIlAYp6DGDfICkIRlYKEHe4/s4hCIknb34K1nsYHyBDgMpIndv2ZKcOKRAkMHnJX666AAAgAElEQVSPduwxXy3wW//u38Lt+U/xve+9jadPP8GD+29SczOOvLubEBBSR08240RQcdajGwaM3UC2GPAQGWkBDud5YKICXRvWWEgfcHV9DQsBG6hBMX8BGuhrfQAQzQkQ3uL+yQLHRwto4bHfe0wsEHHO0Q0jBNvoKpjJpg5fZxRwAb7p+n5AXZe4ub6hm0TQaOxsRiKV4Jh6JaF1hqN6hmEkSbtUCk3dpIxca2yyW4ghLUVZwliL7XaLklkoEY6KHvJLLp5RnCWFhLHkYknWC3P+flLcjsOIosjT5r/IC3R9h7N7Z9hsNtTBjqQhWK1WuLq8wOkp/Z139Ltz9i0q2TPfekeY/jChKkvqvCE4d5du/L7rKHCHKYcnJycYhoHDQwTnH4+oqxqB3RBnsxk+fkqsjvXtLfK8YEZHBucsbm9JRCe4mzMc7D5OhjyA2OMo4+VsXdcUY7lakfLXEPSw2WzThCcERVFqrZHlOUFRzYxCPKTkDGOaAMqSkrJqDpjf7SlTYbFc4dnFLQYHeEl5runjzs42KTIBhGCxmC0AZyAh0zTHYw/5RPGSNnLKfYhYeEhwiw8ED0XYJ9IWA8DmadTOanZpjQttx4lrdx04AYLPaH/GBY7hIM97CAkJLwLqukbXke325CZUJdFtQ8TXpUhpWREyksycC/DINPH2+76jrtRZtusgv6cI8xCzRkCAoUYmENBeQKUcbiGQOuq4a4j7CX7x2Ycn7mR4yvQsqONCmfHSn6jiMj2nCG06diINCMkDzBgLJYk04FnVm1TYoMPSIWDGIUZCKrzYrvEf/O2/jZmu+eE5HN3/DN5797/DG2+8ga4dyWzRUU548vAJ9B6NE7Ht8iyjBi7TmM9mXKsC4DwyrUF7bg4EGid0sqXJkI0m/7m/9tfwD37v92Athc/UZfXKNfa1hoCC93DjFveOa8gwod3eYh/DShgyiYWl7zvubCwWizk0L3/jn+CTX0pSFy5Xy4OJlBCJ8w0QI2i92UAqhbbrQF4/RKPc7XfYbDfQLMYRKo6EAQNTSaWUWC4JxiE/lpxiEocx5XZO44jFrMGDe/dQVyX27Z66HikwThR8QfuAgPl8zsITpJzWcRiwWW/gnUff9pQnIIBMKbzxxptJyJXpjKiDggLOJzMhK3LmTVNtKPKCrJ05SawqK8wXc8RwC+8dhnFA19OCuCypQ53P5hSPOA4MuSnsdlvurMjbxjoy9xonA8FinbKoME4G213LhnAAPAWikEMqdaonJycYxxHGGGw2GyrWkRseAo6Pj5kXTwtLaz3RAlVG3aMj7L4sK+qs8xzb7Rb9MKDvu8QgCUHgkxfX2AwBQWZsCnYHluACkpaSCNDS4q0nD+DtCIGQbBPiNREXljVrOYSUyPMideUhgJeHgvcIvGPw/oCBO8+Qy+GwiBDM3WBzKcmE7UBblKAjivnsAbBRaasUlNZEP54oZyDPc8xmM/Jscj421ogeY3lGzREC+FCLIkAS6lVliaqqkGkyKsvznDFqCylJ9R6XsjG4iQpyQAgWZhowjT3MNLILp6NOnE3cohWDVqRruHMkpJ9LOwyGmMLd94ufhBDJfTd+fRSQxsNhMhbTOEEAnLHNFhf8M0i4SY2LVgr/2r/4r+Dm46d0hXiDq2dPAUj8W//mvw0tK/TdCO/Jy2y5XGK+WEAqRSSPeCV5sthQQeFTjz+FsqjxW//+38J//t/8t/g/v/8D3NxcYxp6mGFAmKjjl0EArBof7Ijf+Od/E5frc3jTIowD/PjqLKDX+gDIM42vfOmzqHIKvYh+O97TAuTgAkjxadGATOno6V6yFQAtdcuySI6Fu90ORVHQxc2du+a/M9ZivlgShVFp5Kx8zbIcJycnRB2cDMZpwn6/R5bn7E6a8QUZUgrYerNJAdYhkPCMNAkZ+r7Dzc0VpBSYz+foupa4zYEUrqujo1R8YgqaFNSlBD50sixDlufouw7TNOLm9hrn5+fY7Xb45V/+JSgtYa1JPv3RYA0gDxOPgMEQnq4y4qMPQ4/Liwt451IgTlkSPr3d7kjzwB7/9PrkEWpNgqLItloul5BKYrlaYhxHfPnLX8Zuv0+OjW3bYRwGTGYidkymYVihG+0HTs/OEITA6b176IchLeKev3hOTpzsEuk9LcBmsxmJpqYpGeEZY9gDKGfGDBV2Yyy8yLAfPDzkIZD9wEU5fAjCtL2f8OD+CaapQ5nnZKzHVM2IO0fxVT8MLPRSyfIAIC8erVRSuWZ5nhgecbqKClyiJJJJ3/XVVdo9xQnBxU47iINlQNoFiKQcB/hxRVjKheSyGwQgdbR45uuDdxHTOCVoNeoEpDyYJh4IXIyyB2LbzGZz5EWJ5XJFO46qIjWwiBCYZ7sKauClAHXzwcFMI5ydYKYhLZ35bUnYexLgSZlyJiLzKmoZosUFwEEptBN+aaHvWMEspeT3yeP6+oZJEiYdBE1dM8uJfufbf/xH+Hu/+7v4nf/kP4KQGc4evwmEgObkPk14QmKxmKOuquTKWhQlyrJCM5uhKkt89a98FVeXV9j3HX7vW9/C4CxOHj/E2ZtPYJTA02ef4N1338F3vvNt/MH//o/w7T/8A/zgB+/i+voFxqEFYKG1wO/8zt9Bk+cIw4hp9wtiBSGlwPXlC2gtmckypI79YIsrURQ5i64mlFXJXHCLIs8TPXK325EDaIRdJDn2eU/FbegHrI5W2G53sM5RqIuU5MtdVthstjg/P0eWUVhI2/VMr3PUGUf3QQT246HfWVUVhnFIdgsIntTCmiyLrbE8upP1wDiNODs9xfPnzzF0ClodaKxRBDf0ZLMQNQwZ20gXBaViaX6Mn3zyDN4H9v3ZY79vScA1TqgqMj87PTvDbrel8BtJRmJd10FyB++sp6SsaWJnRsliJIGuIyjFu0OxNWwL3fekuK6bGkppnL94gSzL8b23v4eyKLDb72Ad2Wo3TYNpouV0lO8LKbHb76DzDAEBeUHGacZMyHSeio+UAuVshv1+D28OGg967LR3iOlRmsVeAdT5BC9QlA1u9iOc4OBvgDtTASHiERCPDADB4/69U9hpImtntj6IliRaU7cf4TPNxTQKhMB4e9wrRL97ggENd7JkzOfFwf8+sq0WyyUzWfiw4phDyTsLzYtR51yyMY8USaK4WkRbZs2eUsYaaKhUWCOsBAQ46w/+8j7Ai4ibh0MEKlgP4HljFwJUloGxC3j2DZKg3AKKUWVoiJezZiK2SwAQ2BfLmImFhiPmiyXGcXrJ2iF6KU2RehybEM4+ONgiC4aPyDVTsR/SyKLMmiM2AdKvkICyBgQ5Awh+fuM4pOcSJ4ecM76318/RzBeYWvITWy6WaPctvLUoKyIiOA5bilnVu+0O/+Af/kN473F+eYEgBYbR4OzBAyzmcxyvjlAHD1/XcG7iCcrgdn2Jy6vnAIB238KMBkIo/Bt//V/H7/xn/yXa69tXrrGv9QEQFZQEBgbmb9NFGo3OBAJ5mFgHazyqki7qsqzYaZHHZCAdIhmn6kShVZSc39zeIgaQT8bAOg8hA7s3Fsl9UqfvV8gywvzHYYRzHovlgvcFMtk6aK1RlWT3kGmNkEXbY4W8oAD4GKiR6wybNaWMxWDwqq7Zb6fhySeg2+8hJAneskxDBOrIZvMFbm9ugBCwWq7Q9R3aroN1ATkfEFVVESTkAza3t8jzDIvjE1xdXzL33OHBw0e4ubmBVhqZouSqbiI2TWQwFUWZ8NyyrJKXezcMKGvKClCSiu5iSTeElBIT39h5QcVxs91Q4WS7Xh8CtBApdzV2obvtLtkMWEcWEGZgtSRb8SYxDi+oi6LADWsQAiikPIaHB5nhZrODQY4Da10kyD8u32JhEQBW8wpahGg+mxhhkZXivUMmFUMqMrF50s8Eje4Fq1yjRbIA7pioEYUyLaHjDSGogBFi5hMeHpPjUp5uCAhCcLd9oHZG8VVgckUIbNSnyYkyeAcXPJzxKWOWHtOB8ql5oRzuwCuOOfSRjqo0ZXCnxwaQYyWnc5F7K08pAJz1gFDQeUEFlid7pUgVL6RM7zevdTk3mq4DInaI9NrdQW3SDgDMDFJsX+68RZ5nZLTo7+QTIyaOeUg+zHzwKPIc4zjduUp4lEBAlmv83f/+d/E3/+a/gyqvgODwpS98Hi+ePoUNDh/97BxP3ngDRVmQGLLvkWUaWmlmJir89IMP0XZkx/Lrv/lPY7fZINcZKi0gyxyWDS09Zw5YZ9K97C0957ZroTONzW77yjX2tT4AhBAYR1q4zmc1Mk3FUgiBxWKO9WYNO9F4XxYlAoe8aK2Yt3uw1xWScnubhkRGPghMZsLueo/FYo5+GLBcrtifeyCVopSIQfTDOAABaMo6cZS99+i7nkd+h7KqEsZZVRW22y1iDq6UEsvFAs5alEWBZjajQs3VJVJTg6db5smTJ3jx4gWi33dVlpyiRYW+5MjCSJeUSkF4ifVmg6qusF6vYS3ZHxM1smesmNkk3C0rSXYPVVWxcZvHfD4n4ZYkTUFcguV5ztANMJ/P0LYd+aWwgCcvCkxmQtNQHnCk1Mbge+ssTQV1A4AOhcurS7JlqCva73AQDRnLkdBpt9sxJh2wbBpY5kBnnGbVtR0HehBsYUcS8wC0HJ7NZmx5UaTQEeOBaRzgoA8WDyH1GneqbvwIyDOJslBAiLz+SE+WaUGqNVlgWEeL8yiAAneLOtOcAxHQdx3TU5FsSxSbfllrydIEBxZSKrxCwvkApOQswsYjOyl4Uth6zpD1PqZYMW//zp8CFE4UuGEx48BCPgHFkFgMf7HeoSjmCToBSLmcLEwE0aCFkGAOKP9+nyCXyFQK/AJGV1HvCc6SPDXknCRHGhORXj/LhAQXaJ8QD0sh5SEASQIxG5t+TeDp3KZGIU4tUtJpISSbHTJ8F/gQjQtk8tSSySzOOgt4D6EErDN4+OQt9NMaVb4CIHDy8AG6/R7N0RKr4yPsuCiHQLVBKo2qzhCcJzKGMRTsA4kf/vhH+MoXv4QyK6CFhxIBWVAJKYCg/WicJJzz8NZhc76HCw69GV65xr7WOwDBF/Rs1rCIy/FNZbHdbmhjDgphyfIMq+US+/0eu92eu1Fa5kR6IS2EqYu3hgywqrqCVGT50Pd98pO5G4ItlUKe5ciLPIltItQQb3wlSbUZfz7RQUucnp4x/c6iH3oYM2EYR3zy9BN2AuTCjMNImecFLi8ukbEhljEGWU7B5VVZwVqTTOfqukae55Rv2/XJkmKxXMJ7j812y4rbHD2LkByHbJ+dnSHPKUNg37YoozAq+fTnSQMQeett2+L4+Ajb7Q7RFVEIck/t+g4T70Wi6CgvCK5pmgazZpYgg2irvZjN8Su//MvY7XacGkYpTNFidxxHNE0Dyywp62hBSHgsTXGz2YzgDObBk0qbvt5Zi74f2F4aGCdLh7+XGEyAQ0zKOlA97yp94+ekBGZNibosKS3KOZ4SCAqZpgneBxR5gXEa05RKzQIVScvXIYXc+MSC6vs+ZREoGSMe6XW11mK72eCu86QUkgLSdcbFnSYbISWUzviQsxC4q2HgZTZj54HV13dN0w6xkwbgBS+F19PvI7YZpcl5ZjtFammcAO4KsyKfP95HAYGLKxDdSSE4jyAExJjIjJ9X9C0CDi6cisOV4mFSV3VyGfV3dAkR6op++vHnRsHWAYKLWhUkd1vK2KDdoODvjcE0caEfmVZC0DJ/dbTEd/7xt+l5ugminOH29gbXNzdUEzxFskIA1hr0XcesN4e3334bm3aH0Rl86St/GY8ePcZ8Nue0PZoWq6pCURQoCqJxF+y0W9cNZrMZFosFtutdOqhf9eO1PgBCCKirAvAOSgh0+xbeOdRlBS0VrLE4OT6BFDLhvUCgBCcBANQdD5yDS6rZOSAkSsbAq6rGOE4oK7I8mBh/TBVAkLqvmc+S8ZhzFnVJxUArBW/pYBqHkbrHAEzjiKaqkDHOmmU5tM7QzGnaEEpiu9tBSIW8KOCcPbAXWDyT5Tnqqk7JXPP5ApvthvBdPqiGvgWCQ9NU+NVf+SU4RwyN6F9UlhXqpkG77wAEhqrI+//8/AWMs+jHEdY5bPct6R2YPUTB5SFZE+y7DsvVCpst+RwZLhh5nieK2/1792DNBCGAqi6JbSNo+prMBMn0zgAqLNvtGu++8w4EBN5841MkcPGesGQfoKTGbrdHE3FaH9DUFew0wo4DQqCUprIsUdUNnA9kTZFpGEfZzMaSfsMFj2rWwKoCFlkSeuEwACS0ACE6xQSIMOHxvSVWTQERHJQEMq3gvQUCMZ5ynaHgMCFS64ZkagZwchMAO1GCVKQpSkG7rjzPAETTskOxy7IMzWwGDjeFD6AAFC5EMfgdEBgng34YYR3ZfQeGPaJjqBIUek4N+sEUDhDcTQf4IBJMRA3NiF27w8XVBbbbDV2bipbUzlkMfcdwiEzfl5g4CHDOJl+h2P1HP57kZipjPCYvrgVnBmvWYkiyhI5KZVJ20wHheDEdBWLxMNNKIuYySASI4JBphSLTjNwEnoBpwoiFP8agxkNJANDsZ3S4QKLVtMRkezx8fIQf/ek7uH9vBQQLoQu8/61/hOXxEay3UDkdFm3XUgSqVlgs5xj7AU1Vo+162FyjFR5eSjw5eYDv/N43cf7xz+GMIRJHtPcO4NdBI9PkTFBmFZp8hsvzS7pO/gJV/bU+AAi3DKnLikEIMQSk73us1+u0EFzM52iaGnVVpQv8YODWk13rOCRoyXuPPdvadl2Lru2Qc8dNcFIBAeqMLi4uoPiGA5CofNGwi6CT2aEgao3tbocX5+d8QZP/EN24dCGfnZ0l64jTk5ODiI0XlVEObiZKCmvbPbSmZWi732Pgzj4utq+ur+jmEjEjQCHTGrvtjtPCqkQxjE6Lx8fHWC6XyTbCefI7sY5M2aKLat8PyPMsdSJ5kSe1teMOuK7qFKZODJ8Wy9USfd+hH3oUZYmqrtge4hbDOGA2n6MsS4zjhA8//BBN00AIis2kfFNiSMUuUkhBrpEIWCwW1DmyMdg4jcno7uhohWki3yJyCKUAeucljBOgMHsJROuG2IkCacxnAAMnqzk0PCQX6MjKiu+1UoqnQwr9cfYQiRjRJW53ISXRZWODISXpOpy1L00D8ToQQLJGzng6lDKqVw9c9wjDvPXpT+OvfuMb+PrXv54KXIgMHj5sBJD4/Fmm2TwxR7KmliSOEkpBKI2yrnB6dkZ2xlLxxCuTqjiA3Eil4CxcY1JkZeBpKcJBUQEcYRUf2Tzi4J0UBVxpPyIETXAAIl027jUQYtYwTUHR3kNxFrF3FtZO9Oc00oHNkFx0WJVsBgeAchTYSiROOJ7zDiKTL2ZwEGQn0fUt3nj8GI8fPoTtbvD8pz+EVwr/zD/7L6Eq5wiBfna0d3cM2yqt8M0/+BYGO7FVvMZnPv1plEWBr371qxj6HuNIoVFRf2OMIWtx57n2xP2RwtOPnwIAdvvdK9fY13oHEDwtneADRfaxChJcwImfT6ZkwQcSAM1pdJrP5+j6jl04yV5h37YYhwFSSCwXc+zbFgDRKo0xmM1nKMsSu92euu3NBgJkFeCUTYIvax0mM9E4qohzPZvPsN+3mIzF8fEx9vs9mqZm+IHG6jwvYJ3FfDZD3w+4vLzE0dERZesqwtiNMShLCqnp+54Ut+OYQuVJcJYnTNU7j0ePHmK3b4lyyF1jtKqQSic/nThJfOMb38Dbb/8JtNa4ur5G8AE9d9GZ1nDGYblYYL/fE34+DLSfAMFDZLEcSMiSkxHZjAN3pKSbMB4Cuy0JraKyNTjPOoIKeZYRjBZCEmhFGE1zHm8Mltf8PLp9S373Wc4OmzW9Z/s9L2IFnJDouh5FUaUAH+eAwQgM1sJDEXQnJEI42ATTAhAMp1MO7HxWQgsHawKCl4diKxWP8xZNXVPOgHzZejzSLw8CJMuSfpfonpCSoxAlhEYSyVlHYsc8L6DY3lopBaHIAhmCClGe50SrZBiobzvKhfVU9InKaQlyiUUTd4LEuTA71kzExxRhEZ0r/vmO4T6kwwQSPPlOyHJq1qLNRNwVBed5EjnsDaQ6QDC0BLYJlolL7DShgAuuD6B9Lu8tIi6fmD4RlqOu3zKFM34IQcX9LpToERf4BOl4NtHzIUB6n96jCD8BETITtG8KAUVZYLU6wtXlNbTU+NlHH8BZgeMHD6HFHF3vUWd0UfV9j+hP5qzF9eU1HAK8EhBCYb3dUPOw3cEPA6q6hhnp0ALi46Sdj2aISoqAXFDduLq+wTBNGP0viBIYQmAYBjS8nASzeJq6hg8eWUHUSyEJb1RSYb/fpZETQMKvd7s9JxrlyDOyaQCIs68FKUSHYUQXRoQg0HY97Q1yskPOc7KBBkB2EdaiKEt0fQcpgPVmhFIaVV1is12jyHPs9zuURQnvbIovVJyFGjt/7xyaqsZ2u0XTzCClwna7gdYZyrqioqI1hHPM96ZQeq0ovIScOWt88uwcOtPwPqDdUeFWgvncCBiNwzD0qKsS3/3udxlfdtAck3h0dIJp7NlpU2G33cJaOkjbrmPHzBFVWaVO5OT4GF3fo+taZpvQASEliV3o3yWP8LQcbPc77u65+NIth2kccXq8xHa3Q12XmMyU8he6tk2ul0WZo64q3FzfQGdk89G1Lc7O7mGcaHdRlDTxacVdYAC8zNAPDk5oOE8FUHDX6ZxnqICY7GQcBijhMa80cn3w13HcffpAMEaeE2MsYvrgHYSSmqGOA+dcsmhQa5mSsyKu75wlRaikwyk2JdSVF+RiKQCA4BfFwSmRFRJ8QJ4pbNe3eOfmGt5zbL0gOGQyFjGsKx6exhpEwVhUJjNjHkEEZt4IiEAFirEpCKGw3+2wWFCTtFgsYBILKBZ3wWdLSLuSg6UGudZ6d4hGdNampb7ig8ohTgiODkpQiAwRhQKzoUI6lBACvLMwZjzkFIOYPzEyVpW0oxGCph3vA4ahJdqw84k1FZXPwfsD/KRkOnC8F/DC4snjx4BwOD29j4vLKzx6/ARtt8cwOFxc3gKiwDi1aOoyiVaVyGFVDONxMCoAGU1vhdSQxsEYi/mMIl9vb66ZtOGxWCwQAtL02dQVSlUhk5S5bJxFZ/9/XAILIf4LIcSFEOL9O587FkL8r0KID/jPI/68EEL8x0KInwgh3hVCfPXO9/wN/voPhBB/41UfYMn+PtEIaTabJWk9UQTJHCwWCykVBa+3LSsbqXDmWY6ClZiRQkpiI5+omhlHtpFfCtHwqINy3JmXyLIMfd+jbhpiyAjC6hfzeeJPP3z4kKCSnHjXE3Oc67rGfr8/LHwzYqp0HXmw9Bz5SK6EWVoCSkl7CCkPWGfEIm9vbvDs2bMElwleEFJCV7SY1qjqihgyzIKQUuKzn/1sgkbi6+c4XjHCQxfn5wDIQbMsS1zzxKCUwvn5OaQQKeNWM/02z3Ps+eullKjYBTUEn0zBdrtdyi6NXdm+bZN3TfAes9mMgmbCQWxkpgm3t7fI8pzDcTIcn5xgs9mgbVtySBwGWEPuqeM0YTZfYL3ZkvDpTrYqXZcyHVKpwEmBECwe3D+FswYHTxzCiEVylSQqMAniVGK7CHFgj8WiF5ekxhwmhfh3Usi0oIzOo0opHB0dU+ZBONBMo94A4mWP+DzPSVwVu3NEO2Ry0wTA+5IBH330ESDIeTR+fpxGzmQOaXq0xgIQ6blHuEUIgcVyCYA8taSkIHYACauO7CD6+XcfT8A4DrwIDknM6Rz9U1cVnjx6BMsL0vhzPF+bUQdEr9sd6ie4K3cEm8XXIBIVogU7MY98mjYilZIeJ0F8ZC1Oy+4o6HPepQM7CvWAgNVqibfeegvjZJDlJcpqgSav8PEHH+B/+R//B3zj67+Bumpo4W9JxU97RIfTs1NAACrLMPQDPvcrvwrhaU8XRa8vzi/hgoALAkJq3NyucXN7i6ura7x48QJPnz7F8+fPcXNzQ4I2kCPBq368ygTwXwH4OwD+6zuf+y0A/1sI4T8UQvwW//e/B+BfBfAr/M+vA/hPAfy6EOIYwG8D+Bqocv2JEOLvhxD+XxUL0zBS0ZAhOSCmkVFK7Pctzs7O0O73cM5isZyx935GYTDGkEeLdQhdh7qqUNY5tjuiaMbAEmstxmFgnjvdOFJK1E0NM5l0kUohURQF9rtdwia9cxicZxXthJvrGwAhhclIppM6S8lZln8O3fAUPB5zA6IjZtwV0L5iRKY14aKcsBSD4SltixwxtSJ66NB1ePPNT+HZs2eJ3bRYzJFp6hKouwE+/PBDeIR0085nDbqWYDNrLG7X6wRlSKmYRjsjSMpMWMzn2O92yIsc9x6e4fz8HGBIpakJw4/JXrGD8iGgzHIISVGcUhLDigyx3EvBM+MwMCMlwAE4OlqRQ+hIh+nEi+717S0d0FVFk9rQEWyVZXjrM5/FD3/8ITxyuMDCLRHpfeBt5x21qKA54MmDM+QaEJmCsQ5a0UEfYbgUAcgeL3FvoDQvEJVI12oA2LpEEAU2hJeSvyyLsrSka8mHAM9wZ4zsjIU4ipyirz3YOynwQeB4iRyCZ/ok7aviIaWUwsnJCX+tRbSa0Io6fOei/kCk9yJi75Kvd/LGGrBcLtO+KDKNMk1wp5JE2Y7JZ7Fbpz0YTb+RKRTzC7z32O12uL264gONno/39Fp4PhjhLIRUKZiFHp9HAC3VPRf9IIjAkOUZwDkEIZDFBfuQIiDw1EkZEZEEEOL1kfYnEg4+XT/eO1SrEt4D02ABI3Dx9BL2dsBbn/tVfO1rNb76xd/E6IAff/QOikrDegdfOnimAZvR4N7ZPVxub5ELhYen91FIjdZ3+O6f/BE+94XPYnlyD+SrdQPrPaAF2t0eCOTBpJXErOghwxVM8HAIEP9Xe2ceI8l13/fPq6Orqo/pnpvL3SWXXFE0KflSKJm2JB9IIkuyZcVWnB6uejgAACAASURBVDgwYME24ASJgRhBgNgwEBgJENgJkj+CBDEc2Ihs6HCCxJCCRLCIII5sWbJlkTpIidSullxyudfszPRZ3XW+/PH7veohLfFQxN1h2D9gdmZrarpfv6p673d8f9+v/5cwzN/QXnQDsNZ+0hhz5nmH3wv8oP78AeCPkA3gvcDvWnmaPmOMGRhjTui5D1lrD/TCPwS8E/jwi7y7eslSUAwCn4CAMPCZLxZ0O13aiYRW/lqP/f19Ka4o57c0krUoy3nDv+EueEc9eM8P8Xyf6SwVCKamZpyoeprORKAkW0goqyRaizxTauKSJI6FGXSesT4YqHg70iOgd5STWXTEdGWZN3QIroidJBHzVMjhppOpiruETcex8aDX6RIEAYcHh+pNitfte9LCPk9TwiBgNp0SR1Jc7Pf7RFHEeDxma2uL8WTciM6DoEPCKGI2nckD7RYVK009rt4R+B7ZIpXUULdLWRYksaCbLj3zDL2uELC1ooj9/X3CUAqkg36fbCHz5ysNR7vdpioqRsMJGNFt9jzhKipUzrEsCiHo0vx/kee0k4TJNMVbSMptMp3wurNnuXjxKXZ3drh2/RrG9yhrSxC2+eJj57BhTH0E7XPk3m7uM/c736vY3ujjU2IrKayGYUsFc4Tqu65y2p12wx3l9Bmkj6NuvFaHt3d1nSZ/7t5MXVVX+NSRAMvial3XGCsLjh8EGuWZxottRa0mxeLVlrp2XrFVbiTdSIIQY6RLttvtCGLNGGqU3sF1uCqc2YmeN920LlWlhem1Xk9qGcYxdspnErCARBZxHOP0GcCqhvNRFTH5myB0iDO5Rn4rpEa8WZRS2onjGHSTs1a0G5Rd1VpZ+Jzn7ygmXGQWBqK/sMhywkZjWdaDtgIPZOZNE+UYsxSgccDgIBBpzKKqePA7v4szd9zJn/7xp7h6+TrXr9zgsS89ytWrV7j39fdyeHjI5uYm9953H34Q04677O/vS4raWqxnKaoMqoJ+FPHB//jbzCczFtmc7btP832nf4igrBnuH9BdW2c8nQq7QXcgz7W1Ipw0z5gcHJLVFbW3rMO8FPtmawC71torcl/YK8aYHT1+EnjmyHmX9Ng3Ov6XzBjzC8AvAPR7naYxpt1uC2e/LqaCDJFmEKdju7Ozw2g8wvg+w+GQbrdHXQusc7HI1JuXbj6XL47jdvMAu/CsrgTq1m7LIpfnGVEU4enfLRZzglZImkmoNlfitTiORfBc88FVXTe0BEkSP4fHJmm3cWyLk/GEMAiYzxeNxqhEAUu0QZrO2djYYJ7OGQwGyxZ/PFqhdCnGSq/c6XQ4PDjQdAWURcnwcEin22Fvb4+qrhoVLCkYC5RSUkGWMA4lV9wSemtbW4zvUdWlFp6EBsLzfWWUnDcPu+/7zNOUjY0NFosczzMMRyNEzSyiLIWAbDabSVu+Cpc7/p/NzU1G4xGzdEa3023I4FwH9nAo1xdjhMJ7Ol1GOos57aTNeJZy3/3fwfnzT0LQEu4bhf65hdkc2QyMNhp5WNa6CaGPdItrWshRUVdVqWk40TgW9llPoJEuJYMUTOtK0zEYkeo8wk8jfFQgy43cD+Ila5qnqpf8PvKQNcgY1xntxl2VlSJrPEqr2HdbN5BIRyTnKBRaYUu1nLVr+Aj/0bLhzCF8IvJ8qc0sReewQV3VtXYKI3NgjNCyyLgt1tUQDDREdUbfU//evW8YtpZFYN8XN111PmRYHlVdEfguZQeBkTSJwSh/VgvrS/pOKCnqpvbkogwXwTltgDDwm2fOIDWeosiJWhFBGCzh4NCMz6rDUFcV0/GE23Z3+fjHH+I973kPGztbVLZWHRCJIupQnbPFXJvZcnFaPY/733AfT3z1CZ555jKdXoyJIM98fuhH3kFRFqx3+wRGgCdZIZHWYDBQVbmAne3b2L9yjU7UETGbctEIH70U+1bDQL9e7GFf4PhfPmjtb1lrH7DWPpDEEYHvMZ+nnD51Cltb0nRGVdWkSiKWxBGloi4a2UHPZzBYb/Q9HcpknqrMoPGp8pJW0GoI3ERQBNpJu2HfnM1mAsH0PGXKlFSMRUL0ViheX1kKfz0IRYCITQQUhUgXZipsEng+1MIQKgpcObPpjF63Bxh6vTUpWE+n4sFoO0IQhESRpHI63S43buwTBGGjv5vnGXGiTVK25uDwEDxDGAmhXJYt6K31mg5m8fjq5zzwUStqZBazLGM6mYrwtnqb1tZ0Oh0c/rm2cNttJ4RO2EpU5BA9QRCwSFNaoU9dldJpWtcURcZsKpHcYi4Yfs/IzdHtdel2u1y7fg3f9zlx2wlG45GkJWxN2JIu3iiOJA3XaqlqlRb10zllXjAaT4GA8xeeZprX0umLJ1A8V3R1XDFHbkyDxdQZcWjwqJUuRJEhtVXCuoI8yzTVEdDtdIg0QpU0gVmmk4w0fIXKGvt8Ns+qcoIvDsljNIdv0fIj1iiWXlN2LpWJImAqJzbjIgUDWPGSXT9BVYk+wHyeUVWWorDMs4JpmjFNcxZ5icXT3wmluCPi+9zDj5AuFlS1ZZbOGY4nfOWJr2rRusDYWhAqtoS6oi5zrPZGGFtjzBGGTqz+f4mmMRjtepaCuusiNsYXxJIfYvyQMErwgxae38ILIrygRVUZyhqsNdSgRHot+SzW4PkhQRgTBBG19ajxNNoPcZk/iao9bSKUOlAcRRqteQqXVfIJzTXVWLIi544zd4KFP/3Up9m7ccj3fO/30opiqaHVln63x+bagO3BOv12Bw8oFhm+pr1aYYs4jrC25vSpU7zlzQ9w7z2v47577uH1J07RL33ygzGXLj5DnuW044TTt50gCVp0opj1wYC1tR5xGLG+tg4VZFlBDaxvbb7YOt3YNxsBXDPGnFDv/wRwXY9fAk4fOe8UcFmP/+Dzjv/Ri72Ja5bxfZ+9vevkhfDghJoKEsoHUYzKMwnLQRpiWqHwv7sO2qosGawP2N/fb/C9eZYTJe2mCCxcQVmTKw2CgFK9z95aj9FwyCKbN/KAp06dYjyZNCG8YKBzAoU9guZwjYbonni8ExVndzh4rEDPDodDgb6q4Lkjv4tUB7goCibjibb5W0ndtGQDS2ezBllyxx2nuXz5skYOM8qqIMulkOeEbgpdlF1o7bwgzxNVMeMZrl+/zu5tu8RRRJ7n4rUbQVvVFp699CynTp9mPBpxeHBwBM3SavL3pbKQVqUIpcexMKuKtGRNO243Le3GF8x/nuU8/fTTDX1yXdWaNisFYhnF7O1d561vfSuff+TzjWc3mU4Jo4TpvGIyz6m9sLmXdG0+suCjIicGYyui0KfX7uEZq403kgYryqVsZlUJMmM8GUuXdiDX9vkpHON5omOhKQS0X8Sl/GSeTVPQPdqNC5IOsywFUhwyppEE1MXI8498GiPOtVGcv4tAGmbPqsbiUSOLI5XAKo0XaOThY9S7DYIAzw/Y3d0VzetMHJi6rtnY2BAki28IjHLqlxXWSmoIz8PzkZy7wknFyxfpRUH/LLH0IHTTjtzOzaG1NNFV5foylFXVmBDjSSRUoBQa2jRmMU1aCJfC0U3XeB5lvoToepqyK8ryOfeXr52+LlrHiPKboJHkWX7b29/O9cuXRXdjPKXjaghIFDEajjDGiKOioI1ut9s4IOPRCAcNLZR1+LbdXebzORv9TS6cP89TT13k7jN3sbO7y3D/kMFgHYNhMhKR+SiOCU1NEkVMRmOskUjo1J13vtjS2tg3uwF8DHg/8Ov6/aNHjv+iMeYjSBF4pJvEHwL/wqGFgHcAv/Kig/N9Ot0O8zRVTiCPJE6I4qgh+zJGoHhFkbOYL4TAzZgm1ziZCCHcTEVQjPGUJiChLEr2buyxvb0NGGXsTBR+5zWhtucJu2McRXi+J3nOMGT/4KDRTRXt04rA99nd3WF//0C86TynFco0B4HfSDh217qaU63kmBExlSAIhKo6jkUkIvBVolEiFFc03Nzc5NKlS+rhi0pSmQv3z8WLF1lfX5ectXb5bnR7XL12rWkaswiVhdMmNsYwHo+FWiKKRJxmNlOlL+HOX1tbI8sWlEVJksTUVc2VK1cIAkkFlWXJ1uYWN/b3G3glCB96q9WShrRYNpOiKEjimMPDQ6I4Elx2VWsHdKj8QSHT6ZS1tTWqqqbT6TIeixBMO2nzyMOPEIahUGQkbWoMs6xkMs+ojS5sLFMb3pEFeBn0WzzPkiSi6iViQoJ9d4gwt4gGfiCLvx/QCltYrVE5dM7Rek6lzU+Sd9c6gSfRo8vZO377qqyaVA+6WIFQDPgIMqmuKrLFQrl/vCaFZBXVUmjXtu8LRDOOYl27JPoIwpYWeQWpFKr0pqsXOJQRqvNc17bRY0hnqepiwMb6QD5fWWNNpXQNy4jHjQeDEMCBLszCOQRg62qpbOYtOfmdufnBQFVU6uTI7+W5FnUxpwni/sj1NhhPKPNsA/e1TS3AIdZcGs5oXUW4/pd9HlajZXlpo+lnEdIJw0AWeAQNNZmkhC2hYul0uuT5giROeN3rzjI8HJKmKT/wAz/AI488woULF2i1QjqdLmAJQqGbyHPR4sjznBt7B8wX0sR4bW+Pi888I31BszlbW9vcfeZuup0usTqJoRcIAEM3wM3NrRdbWpdr7IudYIz5MOK9bxljLiFonl8H/rMx5ueBp4Gf1NP/J/Bu4DyQAj+LXMwDY8w/Bz6r5/0zVxB+Iatry3g0lvRDu90odS00xzxfLOh1uxwq535ZCSGby5l3u90GAldjNb8qXPxRK6QsQ7Z7HebzFIAoihtxE1vX4nXn8mBLpEHToOR5PtliodJ6ZfPwexhu3LjRtPlbQ9O5OJtO2dnZpSwrprMpnU6n4edxnZP4InqezmYkccx4PGatt8ag32dvT/RFwzjkcDhka2uLPJfNKlS+EAfXrDVN5ugUhqOR0C5nQrkbtlp0ut0GXbTIMjwjHvqNvRtk2YI8z9E4GIzhcDgUj9fzyWcKgQ1DzRNndDpdKax7HqUuBL1eV5TJrKW31iPPCwbr66TpTBFPEd1Oj9F4zPqgz2g8wvN8ojhmOksFHjqdCUFZLJtythDZzSIXXqX19Q0m0zmtOGE8nVHp4q/3L3oPNjDApgCgaYrtjT5R6BGH4vWJFnKqDTdC3uagwcYY4iSWaXEeolIxWJywusFqP7548ZJemc0mWsvym42i6ZK1tlkM0eJkoPw+udatqqrSLud1bYLSBi6DSmqKqlq308VBgJdaAZKPNp7BN4Eu0tJgFgSOotnDN74S8ol3H0URJ0/djuP1McBikWKwQregtCVufMu0ojR8SapFU0WazpKGTqkZ2KrSmo5ssq6B0DG7+oHfLN6gi3EgkGNbOaZVmffKLvsKpKHNNO9jjERJEnnUCA5I5np9XYEbmkqTdFDQvJ/xhCnVWkthK77tvvvx8ZiMJB0dBC1Cv9UUd1thQpYtOPf4eVwE8dAffkJSzHGbRb7Qel9NWQhZpfBDWaF2iKX+INoNNWk24x3v/OtcuniJyXTKFx/7gkhIpikntm9nZ3uHZ69dxwt8TFURmJfu15ujO+9xsxPbm/bv//SPaxFMctNxHHPq1CmefPJJ5os5dW3lgTQeeVEJeVi3gxPTdumdLM9YzOfs7OyQzlK2t7bY379BoDjzIAgYKXtnt9sVLm9bN23rziqln3V0CqGKySwWC0bDId1Ou4lA3AMEsLW5xd7eXkNj6+sN3ul0OBwO6fbkPatKPP1IO5wD7XkAhbppaJzluTSZNd6mPOBCXFXRrE0WxVpXdLvidXieL8Xu2hJqq7sLU8uipD8YcPXaNfqK9S7yQrwLs/QW61IK3VmW0+12mgVtOp0QhiG7Ozs8e/nZppU+SUQMvlB1KM+XiKXdbmuRV7nSi4KwJcibdJ5Ks9F4jGcF8SLRVtmQ5OH7pLMFXhBxOM3Iaw+rnjZLvA3gumXFo5a1oWR7o08SQtRyOPaSqizxg0DlHL2GfsMimg3OexQ6BbnWldZWgiBs0jbOQxdopUQQjuJ6eX1sQ3nhqhJ1XXH5yhVOnTxF2GpppBY1sGYHH5bP5PQDfLJF2kQYTuO2qm0DXy0r6QyutF5gLU2/gnwWv1nAsQJrFs5/QT85/QCpi0gRVxZM06Q5JT2otB3QFJ8d7UKpNQa3MDelQC/U9JkvDYo6R4LjNxohuetYHSlEy3Mm6SMn1k4DnnADcSk693oOIIF1iCH5T1WL8tjR+pA+fOAZ5lXJm9/yZra3tknHKY8/8YTQj5SVCE5pSq/TaTPo97lw4UKzdlVlSbfXJSvkeTJAlksKKImkYTWKY/au7wn4RPnNNrc2ufC1J0lnc86ePctwOOKZZ56V6NRIM+yTTz7FospZ2Ir1nS0e+uhHP2etfeDF1thjzQVkjOCShWskJE6kseipp57C90WS0CkdBUGodA49LehaZulMqACiiCRJiJOEWZpS1zVXr14VAfWFeLoHh4ciDAFMxhMwkr93mPz+2lqjGyCwzJrt7W3yoiCdzTDA7m27jfhGEAjnvGNL3LuxRxBKTcECi8UCC9zY32dNaRfKqiRJ2pJqWQikNFKc/4//xE8QJ5Kemc1EBN31CbhFyPe9hv8GTR24uXNeV1XVTKdT4jjWIpRr/MlZLDKCMGA2m5GonjHQNMA5Nk9pqPPJc4Frep7HaDSSz1TLIvnss882HmscJ2SZvH4UC4thnuVNui3S1BpWKHdLJbur6lppnMUTzzIpImdZpgimFulMKJWHw4l4/krRsJRzbG4mzS0vi5KdpEUSh4SqziXFubBJ/7mO8oV2jbeTBCdW73mmERYJgqBxFFxaZWmyMLUUbdWIqut5bmGqykobBiWdd/rUadqdNq1WSDtJVDxFvOCG6VKdAQcZTZKEwA+ae881ny2L/+BkPpeLpIzR1uJIZNmC4XDIdDpjOplSlSIs40RhHBtupVQTYSikc3Ut0ppCCCdFdzmuqRlFsiwhoN5zZsg6Bku75OOv62VDWZZljEajZmH3tbZCU9tZevvNtfEcx5OgB909UTskj/695/nN+a4g7CIRjlwnzxhm6Yzv+I7vZDGfK/BDivMHoyGj2Yz9gwNm6YzhcMSTTz2l9csb0hTp+xiFgYe+9Cm57n9BHxXcdeYMuzs7+J7PxmCd9cGAyWjM5sYGnU6b8+fPcXCwv4xsDWRFzt2vO8vr7n09Z86coZ90X/Iae8w3AHnorLWMxhNJd2iHXFaUZEVBfzCgFUWMRiN63Q6VEnLluRRju0plkGU5RVFhEI8ujhN2b7uNQHVQu52uehUVSTuW3K4RnvaWsoA60ithfITD/Rv4Ci+sSiFtC0KBHT74fd/XFP1kkRa4aNxOBM4WBswXc24/dTvpPAVjCHyhwc3yXLx1zR9XVckHP/Rh0rm0sA8GoluQZ/JZ61ryobY2dNpdDvYPiFWUuxWGukj5zSIgDwrMZlPyQtTRHG9Nms4Fxhq0yLOCqpSwepbOiMIIzwh5Vhi1sEY8vEWW0el15aHy5CGxWG6//XZNR1Us5gul5pb8cNJuM01TiqoiXSwoq1JezxjqUthKHQFYK1JFL18Ut6QNXqg5ut0NDsYZuZ9QWtXYtc+FmLmF391TnqnpJT5bgy5xYHRu1CvVTdWRnUWtFr4u+LLY1M18uUWsVPJA34mq6AINVrucIxaLTCMfiUwNRj/v8ivwRYGuLHOqKiOdTUinY7L5jDJbQFXh2RrPSsHXVhXT8Zh0NiP0RaLTQFN7MUbey1pDkUtkGWpHvNMkwAo4wGqhOfAD1tbWhKQvSYQkzqGYjFGdXtss1GUlxXI8QeNYI4XmqkbQN9ajtj5lZbAmwJpAGUfdOVDXWhPxHEmbRg8Ghc8KfNWh0KwioFwjmSO285VoL1BJ2DAMBLYa+E1K6yjhHJqeNSw3bsdJJJvMslvbYimqCj8M8AMhWfzSF77AxYtPsr27wz333MvJk6c5e9999Ld3uDYcEnW6jGYprXaHwhpqP6CoLIEfE7c6hEFC6CfErS51BWVZ8+UvP854PJG+nqIkCkI2+usMej2+/63fx8agT9KO+JH3vptvu/de3v83f5Knz32Npy88RTaeY9OC6f7oJa+xx3oDAJgv5hgDnU67ETipNWyezxfiqUwln+6KqsIKqYyg6h3EcSxydLrIW2uZjMdEUUuQN3pTOM/C8zyp7Bsa/v+qLLUpSZg0McKeGSexwBOVWbIsSz71J38iAitW8nplVTQ31+nTpygUWTJPhaV0fSD6v+lc+ggERyxz0He4/6pkNpuxWIj4fLfXbV4nSdqNx7221mMwGDSLVJIkxLFw8yyyBeuDAXvXr9PpdCRFZS133XVXUySzCFVzt9vF84Trv520mc1mDSe8AZI45o1vfKPkzNOULMvo9/tYLN1ej729PRwWvT/oN+mLeTrHMyLraeuasigaeg6X95VrLaR3RVEIJhuWUEor2rbjNMcE0uil4Bhx7JpUBjgoioT1Ft+zDPpdAh+qsmhQSIVqRIS6aDisvCu6ukXTSSqKRF+JaxJydAOuA9iRFy7m8wZOWGuxu1R4aVlVjc71kQE3lNJlUUj3N4bpZMo8XTQF1DAMSZIY35PIL89zCudl673misu1lc1oPl8wm8k95qgVrFKlOM+6KeSiUElk7kpHSQzqZfu0k6R5HpegjFBgmZ5yQCnCR1hGDahSmAUU4EWpYymcLKR7H8fU6otgkq/v63D94K5L3URILvXmaDKMXptQ1cAc7/9z0kTutTSVJ4VpOeb7vo615v777yPPM06evJ33/eT7eNvb38a58+d4y4MP8D3f8wA7WxvEYcD2xjo1ljOvO8t93/5GTpy8na2tbWbzOV9+4nGuH9wg1+tha9t0TFdVRZEXTTPabDZrGvcunD/P7tY2J3dP8PiXHmO8f8iHPvwRvCBgtki5eOlpLl29zGj60jeAY10DuH1n0/7dv/0eaiteYFVVSgbXaXK80+mMIAhUUcljc3OTRZaJJ4t2GVYVuVIqu/xhSxkyHSzLCTxUWgQSbLLk4uepNHA5uGSk/QlNGK55v15vjelsxmAwYDQ6PEIBUSrZnMA+ncJVR4t1xhhtLJI0TasVsrYm3bOLxZx5OmetP1Aq2JI4irU5TXh1ut0uw+GQfr9PbS0H+/vCq9Ju4wi+er0e165eo9PpUJRFU4CuykJzxcKs6QqdZSkF3DwvVMIxaMZalSVBqyXt/mnKYH3AaDiiqit2trdE4rKqsXWlDz2NIE1ZVsRJrAV1aeySTmrXlCbpiW67zTzLCALx4nytq4zHI918fYraZ5jW1J6P5Rt3+i4P12ArTp3cIfbB96Sz1dpai3nuISy1l8Mjz3JJH9UiHhSGQQMK8Jzn7AfNuxwtOmtaWvmVjKJMJBHhcs2o9ynOh9dAE32ll8izrNF6zrMCPxCsvB+IJ+oQM8aT3LYwtdZLqgjjNegYh06SgjhakJVN2XnXgNa+nESnwB+bPgO0+G2WXbe9fl+fNyudcMahdZa9JrYWjYImOrJyPaTonjWaGZVCX5cC7542r1XaiCfiSsu5Nsr6KWGD8RxjKcpuSoPSatBVxsFzbVOPchu0608wxlFoqEqZRrpv/cG3URYFg16PO06dJhls8LXzX2U4nVLlBeu9dTa3tuivr2Pw2b+xx6OPPso0nXP12lXuOH2HUthIGnY6HnN4eEhZFpw8eZLr167R7/XIFgswMBkN2dza5Pz5c/TX+iyUJbTTWeP07kl+7wMf4tnr18lsTWlrCiv1q89++lMvqQZwrDeAk7tb9ufe964G9y5UzZMmR+srV4kTvwaUL0jODcIW48lEfyc3bRgEGsYui0lVVTEYDBgOhw2ioLe2RlmWTKZCWCY3lGDZpdAlN3EUtfD8UCCMvk9Z5E3I2egBJ9KE5qB2RotQlXZ8Gn1grJUHvt1OhM1SERBWvSfHrSPh+JJwLPB9BuvrDYxzOp0qTYQnKRglswuCkOFwSBxF4nF4nghqRxFxFDMaj4WTRmGteZ5Lqgca0W03zqIUyUfhbJdUQCtsNR4j0BQNHey0qmqB8BaFiMK4lIiVa+E2NOP5FMof1O3J5tbptCmKkrW1NQ6HY5LeBs9cPVCsv1nm/b/OJtAE8bZge6NHv5M0qJRcJUcl8lFaZk+8bSeRCSj1dKLFX08RI899dpzX6Ng/hdTOPmds4lyUR66rbgwsoxuXw3ILmGjo1s35dS2vbTwjaBh9f0+RLk5sPUkS0nSu9ZqcspJNJy8K5krpXdc1g8FAF0NHHiikd6hzZLWpDGSTqW3d3JPS2yKYfN3vlv86YMERhTd7tJqrkY6rVThnRQM2TeuYprCKRhrAEsSgGzIWyro6wgQsuf9ZOuPZZy+ze9sug36/QYBJ93Ct6CunMibev+tRaERYPIMfSG3qwQcfYDg6YDoZ4mva9Nu//TvZWN8m6W83n92WJfPpmPF0zGC9T9TuYYzPwd5l/vv/+Bj33/8G/vzPP0sr6XHXXXeRzub4ngAPkrjD5x5+GLAM1gdk+ZwsS5vnNo4T6rwiqj0+/cnP8uWvnaMwNYWtyG2J1wp4+E8/85I2gGNNB22tPFSLxYJOVyCG3W6X4WjI5uYWh4eHTdhZFCW7uzvUVc1wNFryfjRcOlZTNhUeKGmWIhQ8w3B42NzIRVEyGo1ot9sEQSCFzCjG95VJ1EAnlsaPNE2hkhD7ts0NbuxJT9xCoYqeCpj42sTi6krZIlMd3ZammASJE2qxMwh8+v0+k+m08bwX8zn9wYDxSPRFnYQe1nLjxg0staSQrOWNb3gD586dYzabNpGAU/ZqhSGh3rxTxJutq6pJM5XqFcZJgucLnn82m6r4thTZet0ek6k0tPlhiCkNi2whXEVhoM1bqlmgC1cQBhR5TqwU1r6K5pRFQX+tDwbm8zkeCAyuEFEakb0UNFWWZ4Rxh2ev7B1p9JJctjUWYzW3rr9xD7at+EXCNgAAC/lJREFULb1OQieJdZNaFvdcfti1+Y8OR42wjLu/HL+KZzxhyXSNXL7XiAK5+3Xp9drG63cbAUhUKRh1vQeXK2ezEBvjtHMlYmjEzLUvwRghZmuI4KwIqwv8EWxlSdO02bCl0VEoOK5eu0avP5A0Z6cja6LsNHie1wguBX6gHeNugLZBsUm3F036y/NFNlFYdGWePIfi0QKy5zlNXduw9FZWIJ+e76u2r6PJoCkGG83VwxJSHUdxQ0LnGjBlLMGRjVQi3xO3n2jI5dDNOQhCmhDNRQcaSVldH0QfQu6nqqrY2toCRIYyiVt4gaTAZtMZnmkxm6aq4iZd6mVVsNnvEUQh+WiPVn+ddmj4sR99F91ul+/+rjdSWY/Lly+zu30bFy5c5Ny5c+wfTLnzzCmSOAFN44ZBQJHNGY1E63ueZiRJl8lkrBGPu39pNrmXYsd6AwAIwhZlZZuuwu3tbaazGePRmF5vjcl43LASTiZTlSD0mM1S1jc2KKujGG1w3qLniQ5wOp1oDlPSPg7lkxcFeS4L4Z133MHe3g0WiwWtSHh3Fqr76vk+QSB0rtevXdeFe8BkMqIsCyliqw5BWRQNd4kF2or/LzVFILqlAVkmhFoOm99KEnzdiObzlCRJRLi+rsHYRhmorkrphyhKHnvsMc1RCyxOYJhzFUhPKXzJs4dRzPb2DtPplNzxz3uiu9Bbi5qIqteTDuKwJSmK2WxGXYtgSFEUhEGI35bXnM6mRK2IdjtuhL4lX50oG6klTSfs7N6GMVNA6gwnT57kxo29Jl1XInTEna7c6FVZ4Qdw9XBKbUIwL6GEpYtpqxXQ68TK86/RkxNAwQmOiLC97wcNLXVRVkf0eRdKWrfscC2KpYTjspmKJtJz+WgdCsb3wLpmLyVK0FSEKwajC5+n16iubUP6ZhR9FWhnsNe8vnSB+kp54RZsVygV9JF87ezsCM2C5wlgIsuUi187uTW953iFjBZm3eNTS5ghwAXPFbVlDhyVd20tVVEu4aU4z97xHkHgCzNuUVa0PF+gt655MAzlXOvhxGjqIwXgurbKUSSv5etCKc/TslYh3biR1nCKZgyBsrPKZ1bElO9hqqWGgyO6K4oKP/DZ2NgkjtviFJXCMhoGLYzxGz0FqbOkVEVJVRfM0wnXr14hKzJOnbqd/YMbPPDmt2FqMHjYPOeuM6/HUnPPXXfwbfecJSvm+EqXcvHiJR577HHmacZ4mrLWW+PUqZMU6zmRDZjMplS1lX4jlxj/VrKB3mpbaJdrVQlFwoUnLxJHQvw1HI4YDERERFSfBOnQ7fWoLFgMUSxwxkg9BlsvpfbmiwVZWUqnatymKCTfGycJ5XRGVuSs9da4fOWK5KId4VkQ0Iqk2SrLM/K5FDWjJKbIhZoiyzK6nQ6T6aTJ2VbKpyMdsbGkEWwtRGrqmUymMzYG6/o+PpNsQguP0XCkYaksikWRK5RTPVrjNUpTtVWooK3Z3N6Sm3Kx0LxxQGVh0JdIwuIxns4oixLPD8izjG6vTSuKNRrJNR8qCCwH/bQUJK2WkOy124zHE4LAJ44iumEokDktfla2phX47A8PSaKEReY4+keEYYswkE11NpsznabS/BMEIp5TW4ajkRQZQ5+Lly5zY1bQ6w1YX99qmqRc9sdlGKQQLL9qBR7rgy6BEQSPrW3Ds18qDUBta2xZMZkciLeIJV2ImttEoagOXts0JzU5c/A0xSiNQ8sC7NE8uEP/4NZojKB5MMtNxBMZQ4vRrnafIDB4xtfaQaWv7z2XGM44wXLT0A07mmcnA5prf4PxfKwuzF7g0211mzqUiApJE2GhkoztJGmAAa5A7FI0LuXlNjuDxRrTRDJVDdZqV7Qec6CKmgoaWnQrXc5IF/JcobdxJMgz4xk83cCk3uHhBRJRO81ggFCjIxcVifaGFO0LFVUJAtn0hCvMU69fni3XgOZ+59J5RV4wHI44eep22u2u1iFkjqtKvhdajDaeR9ROqOoWtYFTZ7tgS9L5mMPJAZ/8409I/a82xK0ug/4mp0/fiR+GfPXRL3P2nnsopjntuM3rz57l7jvuwCLZhnQ+59KlSxzs7XFjUrDIMypbN7xRotn8/0kjmDFmAjxxq8fxMmwLuHGrB/Ey7NU03lfTWOHVNd5X01hhNd6XYndaa7df7KTjHgE88VIKGcfFjDF/sRrvK2OvprHCq2u8r6axwmq830o79n0AK1vZyla2slfGVhvAyla2spW9Ru24bwC/dasH8DJtNd5Xzl5NY4VX13hfTWOF1Xi/ZXasi8ArW9nKVrayV86OewSwspWtbGUre4Xs2G4Axph3GmOeMMacN8b88jEYz2ljzP82xnzFGPOYMeYf6vFfM8Y8a4z5vH69+8jf/IqO/wljzA/fgjE/ZYz5ko7rL/TYhjHmIWPMOf2+rseNMebf6ni/aIx5000e671H5vDzxpixMeaXjsv8GmN+xxhz3Rjz6JFjL3sujTHv1/PPGWPef5PH+6+MMY/rmP7AGDPQ42eMMfMjc/ybR/7mr+g9dF4/00vvMvp/G+vLvu43a834BuP9/SNjfcoY83k9fkvn9kWtaSE+Rl+IXM/XgLuBFvAF4P5bPKYTwJv05x7wVeB+4NeAf/x1zr9fxx0Bd+nn8W/ymJ8Ctp537F8Cv6w//zLwG/rzu4GPI/1UDwJ/douv/1XgzuMyv8D3A28CHv1m5xLYAC7o93X9ef0mjvcdQKA//8aR8Z45et7zXufPge/Vz/Jx4F03aawv67rfzDXj6433eb//18A/PQ5z+2JfxzUCeAtw3lp7wVqbAx8B3nsrB2StvWKtfVh/ngBfAU6+wJ+8F/iItTaz1j6JyGS+5ZUf6Yvae4EP6M8fAP7GkeO/a8U+AwyMMSduxQCBvwp8zVp78QXOuanza639JPB8GdOXO5c/DDxkrT2w1h4CDwHvvFnjtdZ+wlpb6n8/A5x6odfQMa9Zaz9tZcX6XZaf8RUd6wvYN7ruN23NeKHxqhf/t4APv9Br3Ky5fTE7rhvASeCZI/+/xAsvtjfVjDFngO8G/kwP/aKG1b9jlsL3x+EzWOATxpjPGWN+QY/tWmuvgGxqwI4ePw7jdfZTPPcBOq7z+3Ln8jiM2dnPIV6ns7uMMY8YY/6PMebteuwkMkZnN3u8L+e6H5e5fTtwzVp77six4zi3wPHdAL5eLuxYwJWMMV3gvwK/ZK0dA/8BOAt8F3AFCf/geHyGt1pr3wS8C/gHxpjvf4Fzj8N4Mca0gB8D/oseOs7z+43sG43tWIzZGPOrQAl8UA9dAe6w1n438I+ADxlj1ri143251/1YzC3wd3iu83Ic57ax47oBXAJOH/n/KeDyLRpLY8aYEFn8P2it/W8A1tpr1trKihzRf2SZhrjln8Fae1m/Xwf+QMd2zaV29Pt1Pf2Wj1ftXcDD1tprcLznl5c/l7d8zFp4/lHgpzX1gKZT9vXnzyG59NfreI+miW7aeL+J634c5jYAfgL4fXfsOM7tUTuuG8BngXuMMXepR/hTwMdu5YA0t/fbwFestf/myPGjefIfBxwy4GPATxljImPMXcA9SNHnZo23Y4zpuZ+RAuCjOi6HPnk/8NEj4/0ZRbA8CIxceuMm23M8qOM6v0fG8HLm8g+Bdxhj1jWl8Q49dlPMGPNO4J8AP2atTY8c3zYiIIwx5m5kLi/omCfGmAf1/v+ZI5/xlR7ry73ux2HN+GvA49baJrVzHOf2OXazq84v9QtBUnwV2TF/9RiM521IiPZF4PP69W7g94Av6fGPASeO/M2v6vif4CZX+BE0xBf06zE3h8Am8L+Ac/p9Q48b4N/reL8EPHAL5rgN7AP9I8eOxfwim9IVoEC8t5//ZuYSyb2f16+fvcnjPY/kyd39+5t67vv0HvkC8DDwniOv8wCy+H4N+Hdo8+hNGOvLvu43a834euPV4/8J+HvPO/eWzu2Lfa06gVe2spWt7DVqxzUFtLKVrWxlK3uFbbUBrGxlK1vZa9RWG8DKVraylb1GbbUBrGxlK1vZa9RWG8DKVraylb1GbbUBrGxlK1vZa9RWG8DKVraylb1GbbUBrGxlK1vZa9T+LyTu/M4sqNTwAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.imshow(cv.cvtColor(im_mean, cv.COLOR_BGR2RGB))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Generate BBoxes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create list of bboxes\n",
+    "dim = (1920, 1080)\n",
+    "bboxes = []\n",
+    "for d in tqdm(detections[str(cam)]):\n",
+    "  bboxes.append(BBox.from_xywh_dim(d['left'], d['top'], d['width'], d['height'], dim))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# \n",
+    "im_saliency = np.zeros([dim[1], dim[0]]).astype(np.float32)\n",
+    "for i, bbox in enumerate(tqdm(bboxes)):\n",
+    "  bbox = bbox.to_dim(dim)\n",
+    "  pt1, pt2 = tuple(map(int, bbox.pt_tl)), tuple(map(int, bbox.pt_br))\n",
+    "  im_saliency[pt1[1]:pt2[1], pt1[0]:pt2[0]] += 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "im_saliency_mean = (im_saliency /  (np.max(im_saliency) / 1)).astype(np.float32)\n",
+    "im_saliency_mean = 255 * im_saliency_mean\n",
+    "im_saliency_mean = np.clip(im_saliency_mean, 0, 255).astype(np.uint8)\n",
+    "im_cm = cv.applyColorMap(im_saliency_mean, cv.COLORMAP_JET)\n",
+    "im_cm = cv.blur(im_cm, ksize=(13, 13))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# save files\n",
+    "fp_out_saliency = join(fp_dir_processed, f'duke_mtmc_saliency_cam{cam}.png')\n",
+    "cv.imwrite(fp_out_saliency, im_saliency_mean)\n",
+    "#im_saliency_mean = cv.blur(im_saliency_mean, ksize=(5,5))\n",
+    "#fp_out_saliency_blur = join(fp_dir_processed, f'duke_mtmc_saliency_cam{cam}_blur.png')\n",
+    "cv.imwrite(fp_out_saliency_blur, im_saliency_mean)\n",
+    "# wave"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Old Viz"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Assign Colors to IDs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# function to create spaced colormaps as RGB values\n",
+    "\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.cm as mplcm\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib import cm\n",
+    "\n",
+    "def get_color_map(cmap='prism', ncolors=20, as_hex=False, reverse=False, bgr=True):\n",
+    "  norm  = mpl.colors.Normalize(vmin=0, vmax=ncolors-1)\n",
+    "  scalars = mplcm.ScalarMappable(norm=norm, cmap=cmap)\n",
+    "  colors = [scalars.to_rgba(i) for i in range(ncolors)]\n",
+    "  colors = [(int(255*c[0]),int(255*c[1]),int(255*c[2])) for c in colors]  \n",
+    "  if reverse:\n",
+    "    colors = colors[::-1]\n",
+    "  if bgr:\n",
+    "    colors = [c[::-1] for c in colors]\n",
+    "  if as_hex:\n",
+    "    colors = ['#{:02x}{:02x}{:02x}'.format(c[0],c[1],c[2]) for c in colors]\n",
+    "  return colors\n",
+    "\n",
+    "def jitter_clr(clr, amt=10, mono=False):\n",
+    "  clr = list(clr)\n",
+    "  if mono:\n",
+    "    r = randint(-amt, amt)\n",
+    "    for i in range(len(clr)):\n",
+    "      clr[i] = max(0, min(255, clr[i] + r))\n",
+    "  else:\n",
+    "    for i in range(len(clr)):\n",
+    "      r = randint(-amt, amt)\n",
+    "      clr[i] = max(0, min(255, clr[i] + r))\n",
+    "  return clr\n",
+    "\n",
+    "def random_color():\n",
+    "  return tuple(map(int, np.random.choice(range(256), size=3)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "frame_groups = df_dets.groupby('frame')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0 <class 'pandas.core.frame.DataFrame'>\n",
+      "<class 'pandas.core.frame.Pandas'> 235.925\n",
+      "<class 'pandas.core.frame.Pandas'> 285.748\n",
+      "<class 'pandas.core.frame.Pandas'> 286.849\n",
+      "<class 'pandas.core.frame.Pandas'> 719.7080000000001\n",
+      "<class 'pandas.core.frame.Pandas'> 793.722\n",
+      "<class 'pandas.core.frame.Pandas'> 876.425\n",
+      "<class 'pandas.core.frame.Pandas'> 656.185\n",
+      "<class 'pandas.core.frame.Pandas'> 1607.1429999999998\n",
+      "<class 'pandas.core.frame.Pandas'> 1615.588\n",
+      "<class 'pandas.core.frame.Pandas'> 1790.455\n",
+      "<class 'pandas.core.frame.Pandas'> 1645.396\n",
+      "<class 'pandas.core.frame.Pandas'> 1459.905\n",
+      "<class 'pandas.core.frame.Pandas'> 1361.4979999999998\n",
+      "<class 'pandas.core.frame.Pandas'> 890.294\n"
+     ]
+    }
+   ],
+   "source": [
+    "for frame_idx, df_group in frame_groups:\n",
+    "  print(i, type(df_group))\n",
+    "  for dframe in df_group.itertuples():\n",
+    "    print(type(dframe), dframe.fx1)\n",
+    "  break"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def draw_frame(idx):\n",
+    "  # test draw a frame\n",
+    "  # get frame image\n",
+    "  im = frames[idx]\n",
+    "  # get all detections per ID\n",
+    "  \n",
+    "  heads = []\n",
+    "  bodies = []\n",
+    "  # draw body\n",
+    "  # draw head\n",
+    "  \n",
+    "  return im"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "59902f9a5cde4daf9beff2eeed60e04f",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(IntProgress(value=0, max=387367), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# create list of bboxes\n",
+    "dim = (1920, 1080)\n",
+    "bboxes = []\n",
+    "for d in tqdm(detections[str(cam)]):\n",
+    "  bboxes.append(BBox.from_xywh_dim(d['left'], d['top'], d['width'], d['height'], dim))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#size_draw = (1280, 720)\n",
+    "size_draw = (1920,1080)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/data_store/datasets/people/duke_mtmc/processed/duke_mtmc_bboxes_cam5_alpha_0.05.png\n"
+     ]
+    }
+   ],
+   "source": [
+    "# draw it\n",
+    "clr = (255,255,255)\n",
+    "im_draw = np.zeros([size_draw[1], size_draw[0], 3]).astype(np.uint8)\n",
+    "im_bg = im_draw.copy()\n",
+    "limit = 100000000\n",
+    "stroke_weight = 1\n",
+    "alpha = 0.05\n",
+    "cam = 5\n",
+    "fp_out_bboxes = f'/data_store/datasets/people/duke_mtmc/processed/duke_mtmc_bboxes_cam{cam}_alpha_{alpha}.png'\n",
+    "print(fp_out_bboxes)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "51e8433c791541a48e0b243093582439",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(IntProgress(value=0, max=387367), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7fa5eb1d1f28>"
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i, bbox in enumerate(tqdm(bboxes)):\n",
+    "  if i % 60:\n",
+    "    continue\n",
+    "  bbox = bbox.to_dim(size_draw)\n",
+    "  pt1, pt2 = tuple(map(int, bbox.pt_tl)), tuple(map(int, bbox.pt_br))\n",
+    "  im_draw_next = im_bg.copy()\n",
+    "  cv.rectangle(im_draw_next, pt1, pt2, clr, stroke_weight, cv.LINE_AA)\n",
+    "  im_bg = cv.addWeighted(im_draw_next, alpha, im_bg, 1 - alpha, 0)\n",
+    "  if i > limit:\n",
+    "    break\n",
+    "\n",
+    "cv.imwrite(fp_out_bboxes, im_bg)\n",
+    "plt.imshow(cv.cvtColor(im_bg, cv.COLOR_BGR2RGB))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'rois' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-45-ed83ab959530>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     10\u001b[0m \u001b[0malpha\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0.125\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mroi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtqdm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrois\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m   \u001b[0mfname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbbox\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mroi\u001b[0m  \u001b[0;31m# expand\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m   \u001b[0mbbox\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbbox\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_dim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msize_draw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'rois' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "# draw it\n",
+    "clr = (255, 255, 255)\n",
+    "size_orig = (5184, 3456)\n",
+    "scale = size_orig[0]/1920\n",
+    "size_draw = (int(size_orig[0]/scale), int(size_orig[1]/scale))\n",
+    "im_draw = np.zeros([size_draw[1], size_draw[0], 3]).astype(np.uint8)\n",
+    "im_bg = im_draw.copy()\n",
+    "limit = 2000000\n",
+    "stroke_weight = 1\n",
+    "alpha = 0.125\n",
+    "\n",
+    "for i, roi in enumerate(tqdm(rois.items())):\n",
+    "  fname, bbox = roi  # expand\n",
+    "  bbox = bbox.to_dim(size_draw)\n",
+    "  pt1, pt2 = tuple(map(int, bbox.pt_tl)), tuple(map(int, bbox.pt_br))\n",
+    "  im_draw_next = im_bg.copy()\n",
+    "  cv.rectangle(im_draw_next, pt1, pt2, clr, stroke_weight, cv.LINE_AA)\n",
+    "  im_bg = cv.addWeighted(im_draw_next, alpha, im_bg, 1 - alpha, 0)\n",
+    "  if i > limit:\n",
+    "    break\n",
+    "\n",
+    "\n",
+    "plt.imshow(cv.cvtColor(im_bg, cv.COLOR_BGR2RGB))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Create Average Image"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "0b1e14cbaa644802bc8bfc2c42b8e10b",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(IntProgress(value=0, max=1107), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-24-4d9676b22f03>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mim_comp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mempty_like\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mim_utils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfp_im\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1920\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m255\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mfp_im\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtqdm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfp_ims\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m   \u001b[0mim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mim_utils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfp_im\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1920\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m255\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m   \u001b[0mim_comp\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0mim\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+     ]
+    }
+   ],
+   "source": [
+    "im_comp = np.empty_like(im_utils.resize(cv.imread(fp_im), width=1920) / 255)\n",
+    "for fp_im in tqdm(fp_ims[:100]):\n",
+    "  im = im_utils.resize(cv.imread(fp_im), width=1920) / 255\n",
+    "  im_comp += im"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "im_mean = np.mean(ims, axis=0).astype(np.uint8)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7f4060095c50>"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.imshow(im_mean)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0.2 0.4]\n"
+     ]
+    }
+   ],
+   "source": [
+    "a = np.array([.1, .2])\n",
+    "b = np.array([.1, .2])\n",
+    "c = a + b\n",
+    "print(c)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[[0.16078431, 0.17254902, 0.1372549 ],\n",
+       "        [0.15686275, 0.16862745, 0.13333333],\n",
+       "        [0.15294118, 0.16470588, 0.12941176],\n",
+       "        ...,\n",
+       "        [0.49411765, 0.54509804, 0.5372549 ],\n",
+       "        [0.49411765, 0.54509804, 0.5372549 ],\n",
+       "        [0.49411765, 0.54509804, 0.5372549 ]],\n",
+       "\n",
+       "       [[0.15294118, 0.16078431, 0.1372549 ],\n",
+       "        [0.14509804, 0.15294118, 0.12941176],\n",
+       "        [0.14509804, 0.15294118, 0.12941176],\n",
+       "        ...,\n",
+       "        [0.48627451, 0.5372549 , 0.52941176],\n",
+       "        [0.48627451, 0.5372549 , 0.52941176],\n",
+       "        [0.48627451, 0.5372549 , 0.52941176]],\n",
+       "\n",
+       "       [[0.15294118, 0.16078431, 0.1372549 ],\n",
+       "        [0.14901961, 0.15686275, 0.13333333],\n",
+       "        [0.14509804, 0.15294118, 0.12941176],\n",
+       "        ...,\n",
+       "        [0.48235294, 0.53333333, 0.5254902 ],\n",
+       "        [0.49019608, 0.54509804, 0.5372549 ],\n",
+       "        [0.49803922, 0.55294118, 0.54509804]],\n",
+       "\n",
+       "       ...,\n",
+       "\n",
+       "       [[0.26666667, 0.29411765, 0.28235294],\n",
+       "        [0.27058824, 0.29803922, 0.28627451],\n",
+       "        [0.27058824, 0.29411765, 0.29019608],\n",
+       "        ...,\n",
+       "        [0.70980392, 0.74117647, 0.70196078],\n",
+       "        [0.70588235, 0.7372549 , 0.69803922],\n",
+       "        [0.70588235, 0.7372549 , 0.69803922]],\n",
+       "\n",
+       "       [[0.27058824, 0.29411765, 0.29019608],\n",
+       "        [0.27058824, 0.29411765, 0.29019608],\n",
+       "        [0.2745098 , 0.29803922, 0.29411765],\n",
+       "        ...,\n",
+       "        [0.70588235, 0.7372549 , 0.69803922],\n",
+       "        [0.70196078, 0.7372549 , 0.69803922],\n",
+       "        [0.69803922, 0.73333333, 0.69411765]],\n",
+       "\n",
+       "       [[0.27058824, 0.29411765, 0.29019608],\n",
+       "        [0.27058824, 0.29411765, 0.29019608],\n",
+       "        [0.26666667, 0.29019608, 0.28627451],\n",
+       "        ...,\n",
+       "        [0.69803922, 0.73333333, 0.69411765],\n",
+       "        [0.69411765, 0.72941176, 0.69019608],\n",
+       "        [0.68627451, 0.72156863, 0.68235294]]])"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "im = im.astype(np.)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "megapixels",
+   "language": "python",
+   "name": "megapixels"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/megapixels/notebooks/datasets/oxford_town_centre/oxford_town_centre_bboxes-Copy2.ipynb b/megapixels/notebooks/datasets/oxford_town_centre/oxford_town_centre_bboxes-Copy2.ipynb
new file mode 100644
index 00000000..67b25637
--- /dev/null
+++ b/megapixels/notebooks/datasets/oxford_town_centre/oxford_town_centre_bboxes-Copy2.ipynb
@@ -0,0 +1,448 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Oxford Town Centre\n",
+    "\n",
+    "- read in manual detections\n",
+    "- draw example frame"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%reload_ext autoreload\n",
+    "%autoreload 2\n",
+    "\n",
+    "import os\n",
+    "from os.path import join\n",
+    "import math\n",
+    "from glob import glob\n",
+    "from random import randint\n",
+    "\n",
+    "import cv2 as cv\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from PIL import Image, ImageDraw\n",
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "from pathlib import Path\n",
+    "from sklearn import preprocessing\n",
+    "from tqdm import tqdm_notebook as tqdm\n",
+    "import random\n",
+    "\n",
+    "import sys\n",
+    "sys.path.append('/work/megapixels_dev/megapixels/')\n",
+    "from app.settings import app_cfg as cfg\n",
+    "from app.utils import file_utils, im_utils\n",
+    "from app.models.bbox import BBox"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# input\n",
+    "fp_dir_dataset = '/data_store/datasets/people/oxford_town_centre/dataset/'\n",
+    "#fp_vid = join(fp_dir_dataset, 'TownCentreXVID.avi')\n",
+    "\n",
+    "# output\n",
+    "fp_dir_processed = '/data_store/datasets/people/oxford_town_centre/processed/'\n",
+    "fp_dets = join(fp_dir_processed, 'body_roi_400.csv')\n",
+    "fp_cam_avg = join(fp_dir_processed, 'oxford_town_centre_avg.png')\n",
+    "fp_cam_sal = join(fp_dir_processed, 'oxford_town_centre_sal.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load CSV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_dets = pd.read_csv(fp_dets)\n",
+    "detections = df_dets.to_dict('records')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>index</th>\n",
+       "      <th>h</th>\n",
+       "      <th>record_index</th>\n",
+       "      <th>w</th>\n",
+       "      <th>x</th>\n",
+       "      <th>y</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.268369</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.072830</td>\n",
+       "      <td>0.136287</td>\n",
+       "      <td>0.693005</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.222680</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.053638</td>\n",
+       "      <td>0.846111</td>\n",
+       "      <td>0.568722</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>0.199632</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.059557</td>\n",
+       "      <td>0.461100</td>\n",
+       "      <td>0.366682</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>0.136677</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.032335</td>\n",
+       "      <td>0.460765</td>\n",
+       "      <td>0.080763</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>0.162292</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.036466</td>\n",
+       "      <td>0.374826</td>\n",
+       "      <td>0.219409</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   index         h  record_index         w         x         y\n",
+       "0      0  0.268369             0  0.072830  0.136287  0.693005\n",
+       "1      1  0.222680             0  0.053638  0.846111  0.568722\n",
+       "2      2  0.199632             0  0.059557  0.461100  0.366682\n",
+       "3      3  0.136677             0  0.032335  0.460765  0.080763\n",
+       "4      4  0.162292             0  0.036466  0.374826  0.219409"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_dets.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Read Average of Video"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7f22c99f4da0>"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "im_cam_avg = cv.imread(fp_cam_avg)\n",
+    "plt.imshow(im_cam_avg)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Generate BBoxes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "3789aa74b6924d5496a8490ced93b19f",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(IntProgress(value=0, max=3714), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    },
+    {
+     "ename": "KeyError",
+     "evalue": "'x1'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-16-656c58874c2c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mbboxes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0md\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtqdm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdetections\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m   \u001b[0mbbox\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mBBox\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_xywh_dim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0md\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'x1'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0md\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'y1'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0md\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'x2'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0md\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'y2'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdim\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m   \u001b[0mbboxes\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbbox\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mKeyError\u001b[0m: 'x1'"
+     ]
+    }
+   ],
+   "source": [
+    "# create list of bboxes\n",
+    "dim = (1920, 1080)\n",
+    "bboxes = []\n",
+    "for d in tqdm(detections):\n",
+    "  bbox = BBox.from_xywh_dim(d['x1'], d['y1'], d['x2'], d['y2'], dim)\n",
+    "  bboxes.append(bbox)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "b1ef0355970e43569dfad1366640885e",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(IntProgress(value=0, max=62741), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# create grayscale saliency\n",
+    "im_saliency_body = np.zeros([dim[1], dim[0]]).astype(np.float32)\n",
+    "for i, bbox in enumerate(tqdm(bboxes_body)):\n",
+    "  bbox = bbox.to_dim(dim)\n",
+    "  pt1, pt2 = tuple(map(int, bbox.pt_tl)), tuple(map(int, bbox.pt_br))\n",
+    "  im_saliency_body[pt1[1]:pt2[1], pt1[0]:pt2[0]] += 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c00b1fbfb199414cb2b9af5394694b40",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(IntProgress(value=0, max=62741), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# face\n",
+    "im_saliency_face = np.zeros([dim[1], dim[0]]).astype(np.float32)\n",
+    "for i, bbox in enumerate(tqdm(bboxes_face)):\n",
+    "  bbox = bbox.to_dim(dim)\n",
+    "  pt1, pt2 = tuple(map(int, bbox.pt_tl)), tuple(map(int, bbox.pt_br))\n",
+    "  im_saliency_face[pt1[1]:pt2[1], pt1[0]:pt2[0]] += 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "im_saliency_mean = (im_saliency_body /  (np.max(im_saliency_body) / 1)).astype(np.float32)\n",
+    "im_saliency_mean = 255 * im_saliency_mean\n",
+    "im_saliency_mean = np.clip(im_saliency_mean, 0, 255).astype(np.uint8)\n",
+    "im_cm = cv.applyColorMap(im_saliency_mean, cv.COLORMAP_JET)\n",
+    "im_cm = cv.blur(im_cm, ksize=(13, 13))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7ff0d5a7fb00>"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.imshow(cv.cvtColor(im_saliency_mean, cv.COLOR_BGR2RGB))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# save files\n",
+    "fp_out_saliency = join(fp_dir_processed, 'oxford_town_centre_saliency_body.png')\n",
+    "#cv.imwrite(fp_out_saliency, im_saliency_mean)\n",
+    "im_saliency_mean = cv.blur(im_saliency_mean, ksize=(5,5))\n",
+    "#fp_out_saliency_blur = join(fp_dir_processed, f'duke_mtmc_saliency_cam{cam}_blur.png')\n",
+    "cv.imwrite(fp_out_saliency, im_saliency_mean)\n",
+    "# wave"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Old Viz"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "megapixels",
+   "language": "python",
+   "name": "megapixels"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/megapixels/notebooks/datasets/oxford_town_centre/oxford_town_centre_bboxes.ipynb b/megapixels/notebooks/datasets/oxford_town_centre/oxford_town_centre_bboxes.ipynb
new file mode 100755
index 00000000..6fbca884
--- /dev/null
+++ b/megapixels/notebooks/datasets/oxford_town_centre/oxford_town_centre_bboxes.ipynb
@@ -0,0 +1,580 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Oxford Town Centre\n",
+    "\n",
+    "- read in ground truth\n",
+    "- draw example frame"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%reload_ext autoreload\n",
+    "%autoreload 2\n",
+    "\n",
+    "import os\n",
+    "from os.path import join\n",
+    "import math\n",
+    "from glob import glob\n",
+    "from random import randint\n",
+    "\n",
+    "import cv2 as cv\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from PIL import Image, ImageDraw\n",
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "from pathlib import Path\n",
+    "from sklearn import preprocessing\n",
+    "from tqdm import tqdm_notebook as tqdm\n",
+    "import random\n",
+    "\n",
+    "import sys\n",
+    "sys.path.append('/work/megapixels_dev/megapixels/')\n",
+    "from app.settings import app_cfg as cfg\n",
+    "from app.utils import file_utils, im_utils\n",
+    "from app.models.bbox import BBox"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 166,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# input\n",
+    "fp_dir_dataset = '/data_store/datasets/people/oxofrd_town_centre/dataset/'\n",
+    "fp_dets = join(fp_dir_dataset, 'TownCentre-groundtruth.top')\n",
+    "fp_dets = join(fp_dir_dataset, 'TownCentre-output-BenfoldReidCVPR2011.top')\n",
+    "fp_dets = join(fp_dir_dataset, 'TownCentre-output-HOGPedestrians.top')\n",
+    "fp_vid = join(fp_dir_dataset, 'TownCentreXVID.avi')\n",
+    "\n",
+    "# output\n",
+    "fp_dir_processed = '/data_store/datasets/people/oxford_town_centre/processed/'\n",
+    "fp_out_bboxes = join(fp_dir_processed, 'oxford_town_centre_bboxes_01.png')\n",
+    "fp_cam_avg = join(fp_dir_processed, 'oxford_town_centre_avg.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load CSV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cols = ['person_id', 'frame', 'a', 'b', 'bx1', 'by1', 'bx2', 'by2', 'fx1', 'fy1', 'fx2', 'fy2']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_dets = pd.read_csv(fp_dets, names=cols)\n",
+    "detections = df_dets.to_dict('records')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>person_id</th>\n",
+       "      <th>frame</th>\n",
+       "      <th>a</th>\n",
+       "      <th>b</th>\n",
+       "      <th>bx1</th>\n",
+       "      <th>by1</th>\n",
+       "      <th>bx2</th>\n",
+       "      <th>by2</th>\n",
+       "      <th>fx1</th>\n",
+       "      <th>fy1</th>\n",
+       "      <th>fx2</th>\n",
+       "      <th>fy2</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>295.626</td>\n",
+       "      <td>811.142</td>\n",
+       "      <td>334.374</td>\n",
+       "      <td>851.827</td>\n",
+       "      <td>260.713</td>\n",
+       "      <td>811.142</td>\n",
+       "      <td>396.615</td>\n",
+       "      <td>1121.977</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>901.680</td>\n",
+       "      <td>402.431</td>\n",
+       "      <td>927.320</td>\n",
+       "      <td>430.350</td>\n",
+       "      <td>877.443</td>\n",
+       "      <td>402.431</td>\n",
+       "      <td>957.062</td>\n",
+       "      <td>624.178</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1646.674</td>\n",
+       "      <td>935.667</td>\n",
+       "      <td>1691.326</td>\n",
+       "      <td>982.208</td>\n",
+       "      <td>1596.772</td>\n",
+       "      <td>935.667</td>\n",
+       "      <td>1729.112</td>\n",
+       "      <td>1293.447</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>882.242</td>\n",
+       "      <td>49.998</td>\n",
+       "      <td>896.758</td>\n",
+       "      <td>65.783</td>\n",
+       "      <td>866.204</td>\n",
+       "      <td>49.998</td>\n",
+       "      <td>916.275</td>\n",
+       "      <td>179.462</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>740.066</td>\n",
+       "      <td>229.356</td>\n",
+       "      <td>759.934</td>\n",
+       "      <td>250.987</td>\n",
+       "      <td>719.841</td>\n",
+       "      <td>229.356</td>\n",
+       "      <td>786.812</td>\n",
+       "      <td>405.142</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   person_id  frame  a  b       bx1      by1       bx2      by2       fx1  \\\n",
+       "0          0      2  1  1   295.626  811.142   334.374  851.827   260.713   \n",
+       "1          1      2  1  1   901.680  402.431   927.320  430.350   877.443   \n",
+       "2          2      2  1  1  1646.674  935.667  1691.326  982.208  1596.772   \n",
+       "3          3      2  1  1   882.242   49.998   896.758   65.783   866.204   \n",
+       "4          4      2  1  1   740.066  229.356   759.934  250.987   719.841   \n",
+       "\n",
+       "       fy1       fx2       fy2  \n",
+       "0  811.142   396.615  1121.977  \n",
+       "1  402.431   957.062   624.178  \n",
+       "2  935.667  1729.112  1293.447  \n",
+       "3   49.998   916.275   179.462  \n",
+       "4  229.356   786.812   405.142  "
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_dets.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Create Average of Video"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "frames = []\n",
+    "pos = 0\n",
+    "dec = 120\n",
+    "vid = cv.VideoCapture(fp_vid)\n",
+    "nframes = int(vid.get(cv.CAP_PROP_FRAME_COUNT))\n",
+    "\n",
+    "# read video frames\n",
+    "while vid.isOpened():\n",
+    "  pos += dec\n",
+    "  if pos >= nframes:\n",
+    "    break\n",
+    "  vid.set(cv.CAP_PROP_POS_FRAMES, pos)\n",
+    "  read, frame = vid.read()\n",
+    "  if not read:\n",
+    "    break\n",
+    "  frames.append(frame)\n",
+    "\n",
+    "vid.release()\n",
+    "\n",
+    "# save average\n",
+    "im_mean = np.mean(frames, axis=0).astype(np.uint8)\n",
+    "cv.imwrite(fp_cam_avg, im_mean)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7ff1924f56a0>"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.imshow(im_mean)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7ff19214ab70>"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# save average for each camera\n",
+    "im_mean = np.mean(frames[:(len(frames)//2)], axis=0).astype(np.uint8)\n",
+    "cv.imwrite(fp_im_avg, im_mean)\n",
+    "\n",
+    "plt.imshow(cv.cvtColor(im_mean, cv.COLOR_BGR2RGB))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Generate BBoxes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 148,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "ff61e53037744af7b0c5d901bb1a1398",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(IntProgress(value=0, max=62741), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# create list of bboxes\n",
+    "dim = (1920, 1080)\n",
+    "bboxes_body = []\n",
+    "bboxes_face = []\n",
+    "for d in tqdm(detections):\n",
+    "  bbox_body = BBox.from_xyxy_dim(d['bx1'], d['by1'], d['bx2'], d['by2'], dim)\n",
+    "  bbox_face = BBox.from_xyxy_dim(d['fx1'], d['fy1'], d['fx2'], d['fy2'], dim)\n",
+    "  bboxes_face.append(bbox_face)\n",
+    "  bboxes_body.append(bbox_body)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 149,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "157f87ed590d474ea1d3f75943841633",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(IntProgress(value=0, max=62741), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# create grayscale saliency\n",
+    "im_saliency_body = np.zeros([dim[1], dim[0]]).astype(np.float32)\n",
+    "for i, bbox in enumerate(tqdm(bboxes_body)):\n",
+    "  bbox = bbox.to_dim(dim)\n",
+    "  pt1, pt2 = tuple(map(int, bbox.pt_tl)), tuple(map(int, bbox.pt_br))\n",
+    "  im_saliency_body[pt1[1]:pt2[1], pt1[0]:pt2[0]] += 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 150,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d85e76dc545c4f3e99589bffc7511324",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(IntProgress(value=0, max=62741), HTML(value='')))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# face\n",
+    "im_saliency_face = np.zeros([dim[1], dim[0]]).astype(np.float32)\n",
+    "for i, bbox in enumerate(tqdm(bboxes_face)):\n",
+    "  bbox = bbox.to_dim(dim)\n",
+    "  pt1, pt2 = tuple(map(int, bbox.pt_tl)), tuple(map(int, bbox.pt_br))\n",
+    "  im_saliency_face[pt1[1]:pt2[1], pt1[0]:pt2[0]] += 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 172,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7ff0aea66710>"
+      ]
+     },
+     "execution_count": 172,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "im_saliency_mean = (im_saliency_face /  (np.max(im_saliency_face) / 2)).astype(np.float32)\n",
+    "im_saliency_mean = 255 * im_saliency_mean\n",
+    "im_saliency_mean = np.clip(im_saliency_mean, 0, 255).astype(np.uint8)\n",
+    "im_saliency_mean = cv.blur(im_saliency_mean, ksize=(13,13))\n",
+    "im_cm = cv.applyColorMap(im_saliency_mean, cv.COLORMAP_JET)\n",
+    "im_cm = cv.blur(im_cm, ksize=(13, 13))\n",
+    "plt.imshow(cv.cvtColor(im_saliency_mean, cv.COLOR_BGR2RGB))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 173,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 173,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# save files\n",
+    "fp_out_saliency = join(fp_dir_processed, 'oxford_town_centre_saliency_face.png')\n",
+    "#cv.imwrite(fp_out_saliency, im_saliency_mean)\n",
+    "im_saliency_mean = cv.blur(im_saliency_mean, ksize=(5,5))\n",
+    "#fp_out_saliency_blur = join(fp_dir_processed, f'duke_mtmc_saliency_cam{cam}_blur.png')\n",
+    "cv.imwrite(fp_out_saliency, im_saliency_mean)\n",
+    "# wave"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 163,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/data_store/datasets/people/oxofrd_town_centre/processed/oxford_town_centre_saliency_face.png\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(fp_out_saliency)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "megapixels",
+   "language": "python",
+   "name": "megapixels"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/megapixels/notebooks/datasets/uccs/uccs_exif.ipynb b/megapixels/notebooks/datasets/uccs/uccs_exif.ipynb
index c4d37b39..30e77eb7 100644
--- a/megapixels/notebooks/datasets/uccs/uccs_exif.ipynb
+++ b/megapixels/notebooks/datasets/uccs/uccs_exif.ipynb
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 216,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -23,10 +23,17 @@
     "from glob import glob\n",
     "from pprint import pprint\n",
     "\n",
+    "import collections\n",
     "import cv2 as cv\n",
     "import pandas as pd\n",
     "from PIL import Image, ImageDraw, ExifTags\n",
     "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import matplotlib.mlab as mlab\n",
+    "import matplotlib.gridspec as gridspec\n",
+    "import math\n",
+    "\n",
     "from pathlib import Path\n",
     "from tqdm import tqdm_notebook as tqdm"
    ]
@@ -350,43 +357,452 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Parse CSV to Markdown"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_exif = pd.read_csv(fp_out_exif)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>aperture</th>\n",
+       "      <th>date</th>\n",
+       "      <th>date_time</th>\n",
+       "      <th>exposure_mode</th>\n",
+       "      <th>exposure_program</th>\n",
+       "      <th>filename</th>\n",
+       "      <th>fnumber</th>\n",
+       "      <th>focal_length</th>\n",
+       "      <th>iso</th>\n",
+       "      <th>time</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2013-01-29</td>\n",
+       "      <td>2013-01-29 12:07:45</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>e87a43c32cc697d3e6b40be3e3594057.jpg</td>\n",
+       "      <td>5.6</td>\n",
+       "      <td>800</td>\n",
+       "      <td>100</td>\n",
+       "      <td>12:07:45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2012-04-03</td>\n",
+       "      <td>2012-04-03 11:07:53</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9d15290fdd811d5cbaeb44448a4b54d3.jpg</td>\n",
+       "      <td>5.6</td>\n",
+       "      <td>800</td>\n",
+       "      <td>400</td>\n",
+       "      <td>11:07:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2013-01-29</td>\n",
+       "      <td>2013-01-29 12:08:01</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>d9cad73c2f47022195169e07f21dc567.jpg</td>\n",
+       "      <td>5.6</td>\n",
+       "      <td>800</td>\n",
+       "      <td>100</td>\n",
+       "      <td>12:08:01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2013-02-20</td>\n",
+       "      <td>2013-02-20 12:16:35</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>decf44da0b963a33c88362e613878820.jpg</td>\n",
+       "      <td>5.6</td>\n",
+       "      <td>800</td>\n",
+       "      <td>160</td>\n",
+       "      <td>12:16:35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2013-02-19</td>\n",
+       "      <td>2013-02-19 16:30:51</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4a59b6b9b50cf6fc87e45caa0fdb86df.jpg</td>\n",
+       "      <td>5.6</td>\n",
+       "      <td>800</td>\n",
+       "      <td>400</td>\n",
+       "      <td>16:30:51</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   aperture        date            date_time  exposure_mode  exposure_program  \\\n",
+       "0       1.0  2013-01-29  2013-01-29 12:07:45              1                 1   \n",
+       "1       1.0  2012-04-03  2012-04-03 11:07:53              0                 3   \n",
+       "2       1.0  2013-01-29  2013-01-29 12:08:01              1                 1   \n",
+       "3       1.0  2013-02-20  2013-02-20 12:16:35              1                 1   \n",
+       "4       1.0  2013-02-19  2013-02-19 16:30:51              1                 1   \n",
+       "\n",
+       "                               filename  fnumber  focal_length  iso      time  \n",
+       "0  e87a43c32cc697d3e6b40be3e3594057.jpg      5.6           800  100  12:07:45  \n",
+       "1  9d15290fdd811d5cbaeb44448a4b54d3.jpg      5.6           800  400  11:07:53  \n",
+       "2  d9cad73c2f47022195169e07f21dc567.jpg      5.6           800  100  12:08:01  \n",
+       "3  decf44da0b963a33c88362e613878820.jpg      5.6           800  160  12:16:35  \n",
+       "4  4a59b6b9b50cf6fc87e45caa0fdb86df.jpg      5.6           800  400  16:30:51  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_exif.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "date_groups = df_exif.groupby('date')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "days = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']"
+   ]
+  },
+  {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 350,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "<built-in method index of tuple object at 0x7fc507b54b48>\n"
+      "Monday 1056\n",
+      "Tuesday 7029\n",
+      "Wednesday 1715\n",
+      "Thursday 1117\n",
+      "Friday 0\n",
+      "Saturday 0\n",
+      "Sunday 0\n",
+      "2012-02-23 132\n",
+      "2012-03-06 288\n",
+      "2012-03-08 506\n",
+      "2012-03-13 160\n",
+      "2012-03-20 1840\n",
+      "2012-03-22 445\n",
+      "2012-04-03 1639\n",
+      "2012-04-12 14\n",
+      "2012-04-17 19\n",
+      "2012-04-24 63\n",
+      "2012-04-25 11\n",
+      "2012-04-26 20\n",
+      "2013-01-28 1056\n",
+      "2013-01-29 1561\n",
+      "2013-02-13 739\n",
+      "2013-02-19 723\n",
+      "2013-02-20 965\n",
+      "2013-02-26 736\n",
+      "18\n"
      ]
     }
    ],
    "source": [
-    "for exif_date in exif_dates:\n",
-    "  print(exif_date.index)\n",
-    "  idx = exif_date\n",
-    "  break"
+    "date_times = {}\n",
+    "weekday_times = {}\n",
+    "cal_date_counts = {}\n",
+    "\n",
+    "for d in days:\n",
+    "  date_times[d] = []\n",
+    "  weekday_times = []\n",
+    "  \n",
+    "for date_str, date_group in date_groups:\n",
+    "  \n",
+    "  year, month, date = (int(x) for x in date_str.split('-'))    \n",
+    "  day_idx = datetime.date(year, month, date).weekday()\n",
+    "  day = days[day_idx]\n",
+    "  for item in date_group.itertuples():\n",
+    "    hour, minute, second = (int(x) for x in item.time.split(':'))\n",
+    "    dt = datetime.datetime(year, month, date, hour, minute, second, 0)\n",
+    "    date_times[day].append(dt)\n",
+    "    # date count\n",
+    "    if date_str not in cal_date_counts.keys():\n",
+    "      cal_date_counts[date_str] = 0\n",
+    "    cal_date_counts[date_str] += 1\n",
+    "\n",
+    "date_counts = {}\n",
+    "for day, hours in date_times.items():\n",
+    "  date_counts[day] = len(hours)\n",
+    "  print(day, len(hours))\n",
+    "  \n",
+    "# print date counts\n",
+    "for k,v in cal_date_counts.items():\n",
+    "  print(k,v)\n",
+    "\n",
+    "print(len(cal_date_counts))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 317,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.style.use(['dark_background'])\n",
+    "bar_clr = '#9E0142'\n",
+    "face_clr = '#181818'\n",
+    "grid_clr = '#333333'\n",
+    "frame_clr =  '#333333'"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 338,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "image/png": 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\n",
       "text/plain": [
-       "builtin_function_or_method"
+       "<Figure size 1440x576 with 1 Axes>"
       ]
      },
-     "execution_count": 31,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "\n",
+    "fig = plt.figure(figsize=(20,8), dpi=72, facecolor=face_clr)\n",
+    "ax = plt.subplot(111) # Upper Plot\n",
+    "\n",
+    "num_photos = list(date_counts.values())\n",
+    "x_pos = [i for i, _ in enumerate(days)]\n",
+    "plt.bar(x_pos, num_photos, color=bar_clr)\n",
+    "plt.grid(linestyle='-', linewidth='1', color=grid_clr)\n",
+    "plt.setp(ax.spines.values(), color=frame_clr)\n",
+    "plt.ylabel(\"Photos\")\n",
+    "plt.title('UCCS Dataset Photos Captured per Day')\n",
+    "fig.set_facecolor(face_clr)\n",
+    "plt.xticks(x_pos, days)\n",
+    "plt.show()\n",
+    "fig.savefig('/mnt/ahprojects/tmp/uccs_exif_plot_days.png', dpi=fig.dpi, transparent=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 345,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# bucket times into 30min intervals\n",
+    "delta = 10\n",
+    "time_buckets = {}\n",
+    "for day_name, times in date_times.items():\n",
+    "  time_buckets[day_name] = {}\n",
+    "  for t in times:\n",
+    "    # conver times\n",
+    "    bucket_name = '{:02}:{:02}'.format(t.hour, (t.minute // delta) * delta)\n",
+    "    if not bucket_name in time_buckets[day_name].keys():\n",
+    "      time_buckets[day_name][bucket_name] = 0\n",
+    "    time_buckets[day_name][bucket_name] += 1\n",
+    "\n",
+    "# add all keys to all days\n",
+    "all_time_keys = []\n",
+    "for k, v in time_buckets.items():\n",
+    "  all_time_keys += list(v.keys())\n",
+    "\n",
+    "# reduce to unique\n",
+    "all_time_keys = set(all_time_keys)\n",
+    "\n",
+    "for k, v in time_buckets.items():\n",
+    "  for atk in all_time_keys:\n",
+    "    if atk not in time_buckets[k].keys():\n",
+    "      time_buckets[k][atk] = 0\n",
+    "  \n",
+    "for k, v in time_buckets.items():\n",
+    "  time_buckets[k] = collections.OrderedDict(sorted(v.items()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 346,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "OrderedDict([('09:30', 0), ('09:40', 0), ('10:40', 0), ('10:50', 0), ('11:00', 0), ('11:10', 0), ('11:50', 0), ('12:00', 0), ('12:10', 0), ('12:20', 0), ('12:30', 662), ('12:40', 394), ('12:50', 0), ('13:00', 0), ('13:10', 0), ('13:20', 0), ('13:30', 0), ('13:50', 0), ('14:00', 0), ('14:10', 0), ('14:50', 0), ('15:00', 0), ('15:20', 0), ('16:10', 0), ('16:20', 0), ('16:30', 0)])\n",
+      "OrderedDict([('09:30', 414), ('09:40', 664), ('10:40', 0), ('10:50', 0), ('11:00', 832), ('11:10', 376), ('11:50', 0), ('12:00', 361), ('12:10', 710), ('12:20', 306), ('12:30', 901), ('12:40', 48), ('12:50', 0), ('13:00', 0), ('13:10', 0), ('13:20', 167), ('13:30', 121), ('13:50', 365), ('14:00', 0), ('14:10', 0), ('14:50', 0), ('15:00', 0), ('15:20', 312), ('16:10', 183), ('16:20', 797), ('16:30', 472)])\n",
+      "OrderedDict([('09:30', 0), ('09:40', 0), ('10:40', 0), ('10:50', 5), ('11:00', 6), ('11:10', 0), ('11:50', 5), ('12:00', 356), ('12:10', 380), ('12:20', 305), ('12:30', 133), ('12:40', 152), ('12:50', 74), ('13:00', 55), ('13:10', 116), ('13:20', 101), ('13:30', 20), ('13:50', 0), ('14:00', 0), ('14:10', 7), ('14:50', 0), ('15:00', 0), ('15:20', 0), ('16:10', 0), ('16:20', 0), ('16:30', 0)])\n",
+      "OrderedDict([('09:30', 0), ('09:40', 0), ('10:40', 213), ('10:50', 0), ('11:00', 309), ('11:10', 62), ('11:50', 0), ('12:00', 2), ('12:10', 130), ('12:20', 0), ('12:30', 14), ('12:40', 0), ('12:50', 0), ('13:00', 0), ('13:10', 0), ('13:20', 0), ('13:30', 0), ('13:50', 51), ('14:00', 43), ('14:10', 0), ('14:50', 266), ('15:00', 27), ('15:20', 0), ('16:10', 0), ('16:20', 0), ('16:30', 0)])\n",
+      "OrderedDict([('09:30', 0), ('09:40', 0), ('10:40', 0), ('10:50', 0), ('11:00', 0), ('11:10', 0), ('11:50', 0), ('12:00', 0), ('12:10', 0), ('12:20', 0), ('12:30', 0), ('12:40', 0), ('12:50', 0), ('13:00', 0), ('13:10', 0), ('13:20', 0), ('13:30', 0), ('13:50', 0), ('14:00', 0), ('14:10', 0), ('14:50', 0), ('15:00', 0), ('15:20', 0), ('16:10', 0), ('16:20', 0), ('16:30', 0)])\n",
+      "OrderedDict([('09:30', 0), ('09:40', 0), ('10:40', 0), ('10:50', 0), ('11:00', 0), ('11:10', 0), ('11:50', 0), ('12:00', 0), ('12:10', 0), ('12:20', 0), ('12:30', 0), ('12:40', 0), ('12:50', 0), ('13:00', 0), ('13:10', 0), ('13:20', 0), ('13:30', 0), ('13:50', 0), ('14:00', 0), ('14:10', 0), ('14:50', 0), ('15:00', 0), ('15:20', 0), ('16:10', 0), ('16:20', 0), ('16:30', 0)])\n",
+      "OrderedDict([('09:30', 0), ('09:40', 0), ('10:40', 0), ('10:50', 0), ('11:00', 0), ('11:10', 0), ('11:50', 0), ('12:00', 0), ('12:10', 0), ('12:20', 0), ('12:30', 0), ('12:40', 0), ('12:50', 0), ('13:00', 0), ('13:10', 0), ('13:20', 0), ('13:30', 0), ('13:50', 0), ('14:00', 0), ('14:10', 0), ('14:50', 0), ('15:00', 0), ('15:20', 0), ('16:10', 0), ('16:20', 0), ('16:30', 0)])\n"
+     ]
     }
    ],
    "source": [
-    "type(idx.count)"
+    "for k, v in time_buckets.items():\n",
+    "  print(time_buckets[k])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 347,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "901\n"
+     ]
+    }
+   ],
+   "source": [
+    "# find max photos per bucket\n",
+    "max_photos = 0\n",
+    "for display_day in display_days:\n",
+    "  for k,v in time_buckets[display_day].items():\n",
+    "    max_photos = max(max_photos, v)\n",
+    "print(max_photos)\n",
+    "max_photos = 1000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 348,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Monday\n",
+      "Tuesday\n",
+      "Wednesday\n",
+      "Thursday\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x1296 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n",
+    "\n",
+    "fig = plt.figure(figsize=(20,18), dpi=72, facecolor=face_clr)\n",
+    "fig.subplots_adjust(hspace=0.5)\n",
+    "\n",
+    "display_days = ['Monday', 'Tuesday', 'Wednesday', 'Thursday']\n",
+    "for i, display_day in enumerate(display_days):\n",
+    "  # Monday\n",
+    "  print(display_day)\n",
+    "  ax = plt.subplot('41{}'.format(i+1))\n",
+    "  x = list(time_buckets[display_day].keys())\n",
+    "  x_label_idxs = list(range(0,len(x)))\n",
+    "  x_labels = x.copy()\n",
+    "  y = [v for k,v in time_buckets[display_day].items()]\n",
+    "  plt.ylim([0,max_photos])\n",
+    "  plt.ylabel(display_day)\n",
+    "  ax.set_facecolor(face_clr)\n",
+    "  plt.bar(x, y, color=bar_clr)\n",
+    "  ax.grid(linestyle='-', linewidth='1', color=grid_clr)\n",
+    "  plt.setp(ax.spines.values(), color=frame_clr)\n",
+    "\n",
+    "ax = plt.subplot('411')\n",
+    "plt.title('Unconstrained College Students Dataset: Photos Captured per Weekday')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 349,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig.savefig('/mnt/ahprojects/tmp/uccs_exif_plot.png', dpi=fig.dpi, transparent=True)"
    ]
   },
   {
diff --git a/scraper/client/common/common.css b/scraper/client/common/common.css
index 7fdaf01c..15f11dfc 100644
--- a/scraper/client/common/common.css
+++ b/scraper/client/common/common.css
@@ -71,6 +71,9 @@ header > section:last-of-type {
   justify-content: flex-end;
   flex: 1 0;
 }
+header select.datasets{
+  width:200px;
+}
 
 /* sidebar / body columns */
 
diff --git a/scraper/client/paper/paper.manager.js b/scraper/client/paper/paper.manager.js
index 8b25b1cc..2c5b79de 100644
--- a/scraper/client/paper/paper.manager.js
+++ b/scraper/client/paper/paper.manager.js
@@ -3,7 +3,7 @@ import { bindActionCreators } from 'redux'
 import { connect } from 'react-redux'
 
 import * as actions from '../actions'
-import { USES_DATASET } from '../types'
+import { USES_DATASET, ADDRESS_TYPE_ENUM } from '../types'
 
 import { Loader } from '../common'
 
@@ -16,13 +16,10 @@ class PaperManager extends Component {
     if (this.props.match.params.key !== oldProps.match.params.key) {
       this.props.actions.getPaperInfo(this.props.match.params.key)
     }
-    console.log('whoms?')
     if (this.props.api.paperInfo.dataset !== oldProps.api.paperInfo.dataset && this.props.api.paperInfo.dataset && this.props.api.paperInfo.dataset.key) {
-    console.log('vert?')
       this.props.actions.getVerificationsDataset(this.props.api.paperInfo.dataset.key)
     }
     if (this.props.api.verifications !== oldProps.api.verifications && this.props.api.paperInfo.dataset) {
-    console.log('updated?')
       this.updateSortedCitations()
     }
   }
@@ -37,13 +34,25 @@ class PaperManager extends Component {
     }
     const citations = paperInfo.citations.concat(unknownCitations.citations)
     let verifiedLookup = verifications[dataset.key] || {}
-    const sortedCitations = citations.map(citation => [
+    // first sort by verification status,
+    // then by a combination of its geolocated sources and paper count.
+    // penalize papers with no PDF
+    const sortedCitations = citations
+      .map(citation => [
         citation.title,
-        verifiedLookup[citation.id] ? verifiedLookup[citation.id].uses_dataset : USES_DATASET.NO_DATA,
-        citation.pdf.length,
+        verifiedLookup[citation.id]
+          ? verifiedLookup[citation.id].uses_dataset
+          : USES_DATASET.NO_DATA,
+        (citation.addresses || [])
+          .map(address => (ADDRESS_TYPE_ENUM[address.type] || 0))
+          .reduce((a, b) => (a + b), 0)
+          + (citation.pdf.length > 0
+            ? Math.max(citation.pdf.length, 2)
+            : -2
+          ),
         citation
       ])
-      .sort((a,b) => (b[1] - a[1] || b[2] - a[2] || (a[0].localeCompare(b[0]))))
+      .sort((a, b) => (b[1] - a[1] || b[2] - a[2] || (a[0].localeCompare(b[0]))))
       .map(tup => ({
         ...tup[3],
         verified: tup[1],
diff --git a/scraper/client/types.js b/scraper/client/types.js
index 22c93a89..049b2761 100644
--- a/scraper/client/types.js
+++ b/scraper/client/types.js
@@ -22,3 +22,9 @@ export const USES_DATASET = {
   UNKNOWN: "0",
   NO_DATA: "-2",
 }
+
+export const ADDRESS_TYPE_ENUM = {
+  'edu': 1,
+  'company': 3,
+  'mil': 10,
+}
\ No newline at end of file
diff --git a/scraper/datasets/.~lock.citation_lookup.csv# b/scraper/datasets/.~lock.citation_lookup.csv#
new file mode 100644
index 00000000..cc57fca6
--- /dev/null
+++ b/scraper/datasets/.~lock.citation_lookup.csv#
@@ -0,0 +1 @@
+,adam,adam,11.02.2019 13:20,file:///home/adam/.config/libreoffice/4;
\ No newline at end of file
diff --git a/site/assets/css/applets.css b/site/assets/css/applets.css
index 7fac3e27..ef9f09e2 100644
--- a/site/assets/css/applets.css
+++ b/site/assets/css/applets.css
@@ -9,7 +9,7 @@
   min-height: 0;
 }
 .applet {
-  margin-bottom: 40px;
+  margin-bottom: 60px;
   transition: opacity 0.2s cubic-bezier(0,0,1,1);
   opacity: 0;
 }
@@ -28,8 +28,9 @@
 }
 .q {
   width: 100%;
-  padding: 5px;
-  font-size: 14pt;
+  padding: 8px 12px;
+  font-size: 13pt;
+  color:#333;
 }
 .timing {
   font-size: 9pt;
diff --git a/site/assets/css/css.css b/site/assets/css/css.css
index 824819a9..48816fef 100644
--- a/site/assets/css/css.css
+++ b/site/assets/css/css.css
@@ -1,4 +1,10 @@
 * { box-sizing: border-box; outline: 0; }
+@media (prefers-reduced-motion: reduce) {
+  * {
+    animation-duration: 0.001s !important;
+    transition-duration: 0.001s !important;
+  }
+}
 html, body {
   margin: 0;
   padding: 0;
@@ -43,7 +49,8 @@ header .slogan {
   display: flex;
   flex-direction: row;
   align-items: center;
-  padding-left: 56px;
+  /*padding-left: 56px;*/
+  padding-left: 36px;
   text-decoration: none;
 }
 header .logo {
@@ -54,6 +61,7 @@ header .logo {
   margin-right: 8px;
   width: 20px;
   height: 20px;
+  flex: 0 0 20px;
 }
 header .site_name {
   font-family: 'Roboto', sans-serif;
@@ -65,12 +73,14 @@ header .site_name {
   letter-spacing: 3px;
 }
 header .splash{
-  font-size: 15px;
+  font-size: 22px;
   font-weight: 400;
-  color: #888;
-  padding-left: 8px;
+  color: #eee;
+  /*padding-left: 8px;*/
   opacity: 0;
   transition: 0.3s opacity cubic-bezier(0,0,1,1);
+  margin-left:18px;
+  /*line-height: 22px;*/
 }
 .scrolled header .splash {
   opacity: 1;
@@ -138,7 +148,8 @@ footer {
   justify-content: space-between;
   color: #888;
   font-size: 9pt;
-  padding: 20px 0 20px;
+  line-height: 17px;
+  padding: 20px 20px;
   font-family: "Roboto", sans-serif;
 }
 footer > div {
@@ -157,7 +168,7 @@ footer a {
   transition: color 0.1s cubic-bezier(0,0,1,1);
   margin-right: 5px;
 }
-footer a:hover {
+.desktop footer a:hover {
   color: #ddd;
 }
 
@@ -167,7 +178,7 @@ h1 {
   color: #eee;
   font-weight: 400;
   font-size: 34pt;
-  margin: 75px 0 10px;
+  margin: 75px auto 10px auto;
   padding: 0;
   transition: color 0.1s cubic-bezier(0,0,1,1);
   font-family: 'Roboto Mono', monospace;
@@ -175,25 +186,32 @@ h1 {
 h2 {
   color: #eee;
   font-weight: 400;
-  font-size: 32px;
+  font-size: 34px;
   line-height: 43px;
-  margin: 20px 0 20px;
+  margin: 20px auto 20px auto;
   padding: 0;
   transition: color 0.1s cubic-bezier(0,0,1,1);
   font-family: 'Roboto Mono', monospace;
 }
 h3 {
-  margin: 0 0 20px 0;
-  padding: 20px 0 0 0;
-  font-size: 22pt;
+  margin: 20px auto 10px auto;
+  font-size: 28px;
   font-weight: 400;
   transition: color 0.1s cubic-bezier(0,0,1,1);
   font-family: 'Roboto Mono', monospace;
 }
 h4 {
-  margin: 0 0 10px 0;
+  margin: 6px auto 10px auto;
   padding: 0;
-  font-size: 11pt;
+  font-size: 18pt;
+  font-weight: 400;
+  transition: color 0.1s cubic-bezier(0,0,1,1);
+  font-family: 'Roboto Mono', monospace;
+}
+h5 {
+  margin: 6px auto 10px auto;
+  padding: 0;
+  font-size: 14pt;
   font-weight: 400;
   transition: color 0.1s cubic-bezier(0,0,1,1);
   font-family: 'Roboto Mono', monospace;
@@ -215,7 +233,7 @@ h4 {
   text-transform: uppercase;
   letter-spacing: 2px;
 }
-.right-sidebar ul li a{
+.right-sidebar ul li a {
   border-bottom: 0;
 }
 th, .gray {
@@ -252,12 +270,24 @@ section {
   margin-top: 30px;
   line-height: 36px;
 }
-p {
-  margin: 0 10px 20px 0;
-  line-height: 2;
-  font-size: 18px;
-  font-weight: 300;
-  color: #dedede;
+section p {
+  margin: 10px auto 20px auto;
+  line-height: 1.85rem;
+  font-size: 17px;
+  font-weight: 400;
+  color: #cdcdcd;
+}
+section ul {
+  margin: 10px auto 20px auto;
+  max-width: 720px;
+}
+section h1, section h2, section h3, section h4, section h5, section h6, section p{
+  max-width: 720px;
+}
+
+.content-dataset section:nth-child(2) p:first-child{
+  font-size:19px;
+  color:red;
 }
 p.subp{
   font-size: 14px;
@@ -265,12 +295,13 @@ p.subp{
 .content a {
   color: #fff;
   text-decoration: none;
-  border-bottom: 1px dashed;
+  border-bottom: 2px solid #666;
+  padding-bottom: 1px;
   transition: color 0.1s cubic-bezier(0,0,1,1);
 }
 .desktop .content a:hover {
   color: #fff;
-  border-bottom: 1px solid;
+  border-bottom: 2px solid #ccc;
 }
 
 /* top of post metadata */
@@ -294,11 +325,11 @@ p.subp{
 }
 .right-sidebar {
   float: right;
-  width: 240px;
-  margin-left: 20px;
-  padding-top: 10px;
+  width: 200px;
+  margin: 0px 20px 20px 20px;
+  padding-top: 12px;
   padding-left: 20px;
-  border-left: 1px solid #444;
+  border-left: 1px solid #333;
   font-family: 'Roboto';
   font-size: 14px;
   font-weight: 400;
@@ -335,6 +366,13 @@ p.subp{
   text-decoration: none;
   border-bottom: 1px solid;
 }
+.left-sidebar a, .right-sidebar a {
+  border-bottom: 1px solid #666;
+}
+.desktop .content .left-sidebar a:hover,
+.desktop .content .right-sidebar a:hover {
+  border-bottom: 1px solid #ccc;
+}
 
 /* lists */
 
@@ -347,7 +385,7 @@ ul li {
   margin-bottom: 8px;
   color: #dedede;
   font-weight: 300;
-  font-size: 13px;
+  font-size: 14px;
 }
 
 /* misc formatting */
@@ -359,9 +397,14 @@ code {
   background: rgba(255,255,255,0.1);
 }
 pre {
-  margin: 0 0 40px 0;
+  margin: 0 auto 20px auto;
+  max-width: 720px;
   border: 1px solid #666;
   border-radius: 2px;
+  padding: 10px;
+  display: block;
+  background: #333;
+  overflow: auto
 }
 pre code {
   display: block;
@@ -413,18 +456,51 @@ hr.supp{
   margin:70px 0 30px 0;
 }
 blockquote {
-  margin-left: 28px;
+  margin: 0 auto;
+  max-width: 720px;
   padding: 0 0 0 10px;
   border-left: 2px solid #555;
 }
 
+/* Buttons */
+
+.citation-opts {
+}
+.citation-opts li{
+  display: inline-block;
+  margin-right:10px;
+}
+.desktop .content a.btn{
+  display: inline-block;
+  background: #333;
+  padding: 6px 10px;
+  font-size: 10px;
+  border-radius: 6px;
+  font-weight: 400;
+  border:0px;
+}
+.desktop .content a.btn:hover{
+  background: #444;
+  border:0px;
+}
+
 /* footnotes */
 
 .footnotes hr {
   display: none;
 }
-ul.footnotes li, ul.footnotes p{
-  font-size:12px;
+ul.footnotes {
+  max-width: 720px;
+  margin: 0 auto;
+  font-size: 12px;
+}
+ul.footnotes li {
+  font-size: 12px;
+  list-style-type: none;
+  margin-bottom: 12px;
+}
+ul.footnotes p {
+  font-size: 12px;
 }
 .footnotes ol:before {
   content: 'Footnotes';
@@ -445,6 +521,9 @@ section img {
   display: block;
   margin: 0 auto;
 }
+.image img {
+  cursor: pointer;
+}
 section .image {
   margin-bottom: 20px;
 }
@@ -506,12 +585,12 @@ section.fullwidth .image {
   margin: 10px auto 10px auto;
   font-family: 'Roboto';
 }
-.caption a{
-  color:#ccc;
+.caption a {
+  color: #ccc;
   border: 0;
 }
-.caption a:hover{
-  color:#fff;
+.desktop .caption a:hover {
+  color: #fff;
   border: 0;
 }
 
@@ -671,8 +750,8 @@ section.fullwidth .image {
   border: 0;
 }
 .dataset-list .dataset {
-  width: 220px;
-  height: 140px;
+  width: 300px;
+  height: 178px;
   padding: 10px;
   color: white;
   font-weight: 400;
@@ -682,7 +761,7 @@ section.fullwidth .image {
 .desktop .content .dataset-list a {
   border: none;
 }
-.dataset-list a:hover{
+.desktop .dataset-list a:hover {
   border: none;
 }
 .dataset-list a:nth-child(3n+1) { background-color: rgba(255, 0, 0, 0.1); }
@@ -701,6 +780,8 @@ section.fullwidth .image {
 }
 .dataset-list .title {
   margin-bottom: 10px;
+  padding: 2px 4px;
+
 }
 .dataset-list .fields {
   display: block;
@@ -721,29 +802,29 @@ section.fullwidth .image {
   padding: 0;
 }
 .dataset-list .sort-options:before {
-  content: 'Browse list by ';
+  content: 'Browse list by:';
   opacity: 0.7;
-  margin-right: 0px;
+  display: block;
+  padding-bottom: 10px;
 }
 .dataset-list .sort-options li {
   display: inline-block;
   margin: 0;
-  padding: 0;
   cursor: pointer;
   margin-right: 20px;
-}
-.dataset-list .sort-options li:before {
-  content: '_';
-  opacity: 0;
-  margin-right: 10px;
+  font-size: 16px;
+  transition: background 0.2s;
+  background: #888;
+  color: #fff;
+  padding: 4px 6px;
+  border-radius: 4px;
+  font-weight: 500;
+  font-size: 14px;
+  cursor: pointer;
 }
 .dataset-list .sort-options li.active {
-  border-bottom: 1px solid;
-}
-.dataset-list .sort-options li.active:before {
-  content: '>';
-  opacity: 1;
-  margin-right: 10px;
+  background: #fff;
+  color: #222;
 }
 .dataset_list .applet {
   margin-bottom: 15px;
@@ -870,6 +951,12 @@ ul.map-legend li.source:before {
 }
 
 /* about */
+.desktop a.ahrefmoz{
+  color:#DE5825;
+}
+.desktop a.ahrefmoz:hover{
+  color:#EF6D3B;
+}
 
 .content-about {
   color: #fff;
@@ -882,8 +969,8 @@ ul.map-legend li.source:before {
  font-weight: 300; 
 }
 .content-about section:first-of-type > p:first-of-type {
-  font-size: 23px;
-  line-height: 39px;
+  font-size: 22px;
+  line-height: 40px;
 }
 .content-about .about-menu ul li {
   display: inline-block;
@@ -977,7 +1064,7 @@ ul.map-legend li.source:before {
   display: block;
 }
 .content-about .team-member h3{
-  font-size:18px;
+  font-size:20px;
 }
 
 
@@ -1009,6 +1096,7 @@ a.footnote_shim {
 .desktop a.footnote:hover {
   /*background-color: #ff8;*/
   color: #fff;
+  border: 0;
 }
 .backlinks {
   margin-right: 10px;
@@ -1023,9 +1111,8 @@ a.footnote_shim {
   bottom: 5px;
   margin-right: 2px;
 }
-ul.footnotes {
-  list-style-type: decimal;
-  margin-left: 30px;
+.content .footnotes .backlinks a {
+  bottom: 3px;
 }
 li p {
   margin: 0; padding: 0;
@@ -1035,5 +1122,17 @@ li p {
 /* citation browser */
 
 .citationHeader {
+  max-width: 720px;
+  margin: 10px auto;
   padding-bottom: 10px
-}
\ No newline at end of file
+}
+.download-btn {
+  display: inline-block;
+  font-size: 13px;
+  color: #ddd;
+  cursor: pointer;
+  background: #333;
+  padding: 8px 10px;
+  border-radius: 5px;
+  transition: all 0.1s;
+}
diff --git a/site/assets/css/mobile.css b/site/assets/css/mobile.css
new file mode 100644
index 00000000..6a742277
--- /dev/null
+++ b/site/assets/css/mobile.css
@@ -0,0 +1,91 @@
+/* MOBILE - iphone/ipad css */
+
+@media all and (max-device-width: 1024px) {
+  /* header / footer */
+  .slogan {
+    padding-left: 10px;
+  }
+  header .splash {
+    display: none;
+  }
+  header .links a {
+    margin-right: 14px;
+    font-size: 14px;
+  }
+
+  /* MOBILE content */
+
+  .intro_section {
+    padding: 50px 0 20px 0;
+  }
+  .intro_section .hero_desc {
+    font-size: 28px;
+    line-height: 50px;
+    margin-bottom: 20px;
+  }
+  .intro_section .inner {
+    margin: 0;
+    max-width: 100%;
+    padding: 20px;
+  }
+  .intro_section .hero_subdesc {
+    max-width: 100%;
+  }
+  section h1, section h2, section h3, section h4, section h5, section h6, section p {
+    max-width: 100%;
+  }
+  section {
+    width: 100%;
+    padding: 0 10px;
+  }
+  .meta {
+    margin-right: 0px;
+    margin-bottom: 10px;
+  }
+  .modal img {
+    max-width: 100%;
+  }
+  th {
+    overflow: hidden;
+    text-overflow: ellipsis;
+  }
+  .citationHeader {
+
+  }
+  section.wide {
+    width: 100%;
+  }
+  .map, .map .applet {
+    height: 360px;
+  }
+
+  /* MOBILE datasets page */
+}
+
+/* iphone-specific */
+@media all and (max-device-width: 640px) {
+  .right-sidebar {
+    float: none;
+    width: 100%;
+    border: 0;
+    margin: 0 0 14px 0;
+    padding: 0 2px;
+  }
+  .map, .map .applet {
+    height: 360px;
+  }
+  .citationBrowser input.q {
+    max-width: 180px;
+  }
+  .columns {
+    flex-direction: column;
+  }
+  .columns .column {
+    margin: 0;
+  }
+  .columns-2 .column,
+  .columns-3 .column,
+  .columns-4 .column {
+    width: 100%;
+  }
+}
\ No newline at end of file
diff --git a/site/assets/img/arrow-left-black.png b/site/assets/img/arrow-left-black.png
new file mode 100644
index 00000000..377a696f
--- /dev/null
+++ b/site/assets/img/arrow-left-black.png
diff --git a/site/assets/img/arrow-left.png b/site/assets/img/arrow-left.png
new file mode 100644
index 00000000..3ddd4781
--- /dev/null
+++ b/site/assets/img/arrow-left.png
diff --git a/site/assets/img/arrow-right-black.png b/site/assets/img/arrow-right-black.png
new file mode 100644
index 00000000..12dbe37c
--- /dev/null
+++ b/site/assets/img/arrow-right-black.png
diff --git a/site/assets/img/arrow-right.png b/site/assets/img/arrow-right.png
new file mode 100644
index 00000000..0cb2588f
--- /dev/null
+++ b/site/assets/img/arrow-right.png
diff --git a/site/assets/img/close-black.png b/site/assets/img/close-black.png
new file mode 100644
index 00000000..191442ac
--- /dev/null
+++ b/site/assets/img/close-black.png
diff --git a/site/assets/img/close.png b/site/assets/img/close.png
new file mode 100644
index 00000000..529d7302
--- /dev/null
+++ b/site/assets/img/close.png
diff --git a/site/assets/js/app/prototypes.js b/site/assets/js/app/prototypes.js
new file mode 100644
index 00000000..a7da2e46
--- /dev/null
+++ b/site/assets/js/app/prototypes.js
@@ -0,0 +1 @@
+prototypes.js
\ No newline at end of file
diff --git a/site/content/pages/about/assets/LICENSE.md b/site/content/pages/about/assets/LICENSE.md
new file mode 100644
index 00000000..90f1fb01
--- /dev/null
+++ b/site/content/pages/about/assets/LICENSE.md
@@ -0,0 +1,34 @@
+ATTRIBUTION PROTOCOL
+
+If you use the MegaPixels data or any data derived from it, please cite the original work as follows:
+
+```
+@online{megapixels,
+  author = {Harvey, Adam. LaPlace, Jules.},
+  title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
+  year = 2019,
+  url = {https://megapixels.cc/},
+  urldate = {2019-04-20}
+}
+```
+
+and include this license and attribution protocol within any derivative work.
+
+If you publish data derived from MegaPixels, the original dataset creators should first be notified.
+
+The MegaPixels dataset is made available under the Open Data Commons Attribution License (https://opendatacommons.org/licenses/by/1.0/) and for academic use only.
+
+READABLE SUMMARY OF Open Data Commons Attribution License 
+
+You are free:
+
+    To Share: To copy, distribute and use the dataset
+    To Create: To produce works from the dataset
+    To Adapt: To modify, transform and build upon the database
+
+As long as you:
+
+    Attribute: You must attribute any public use of the database, or works produced from the database, in the manner specified in the license. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the database and keep intact any notices on the original database.
+
+
+
diff --git a/site/content/pages/about/assets/adam-harvey-3d.jpg b/site/content/pages/about/assets/adam-harvey-3d.jpg
deleted file mode 100644
index 2d7cbd80..00000000
--- a/site/content/pages/about/assets/adam-harvey-3d.jpg
+++ /dev/null
diff --git a/site/content/pages/about/assets/adam-harvey-3d.png b/site/content/pages/about/assets/adam-harvey-3d.png
deleted file mode 100644
index 3616e851..00000000
--- a/site/content/pages/about/assets/adam-harvey-3d.png
+++ /dev/null
diff --git a/site/content/pages/about/assets/adam-harvey.jpg b/site/content/pages/about/assets/adam-harvey.jpg
deleted file mode 100644
index 38a484d1..00000000
--- a/site/content/pages/about/assets/adam-harvey.jpg
+++ /dev/null
diff --git a/site/content/pages/about/assets/jules-laplace-3d.jpg b/site/content/pages/about/assets/jules-laplace-3d.jpg
deleted file mode 100644
index d51e0933..00000000
--- a/site/content/pages/about/assets/jules-laplace-3d.jpg
+++ /dev/null
diff --git a/site/content/pages/about/assets/jules-laplace.jpg b/site/content/pages/about/assets/jules-laplace.jpg
deleted file mode 100644
index 18fc1170..00000000
--- a/site/content/pages/about/assets/jules-laplace.jpg
+++ /dev/null
diff --git a/site/content/pages/about/assets/mozilla.png b/site/content/pages/about/assets/mozilla.png
deleted file mode 100644
index 0fd4f115..00000000
--- a/site/content/pages/about/assets/mozilla.png
+++ /dev/null
diff --git a/site/content/pages/about/attribution.md b/site/content/pages/about/attribution.md
new file mode 100644
index 00000000..cf537ad4
--- /dev/null
+++ b/site/content/pages/about/attribution.md
@@ -0,0 +1,58 @@
+------------
+
+status: published
+title: Privacy Policy
+desc: MegaPixels Privacy Policy
+slug: privacy-policy
+cssclass: about
+published: 2018-12-04
+updated: 2018-12-04
+authors: Adam Harvey
+ 
+------------
+
+# Legal
+
+<section class="about-menu">
+<ul>
+<li><a href="/about/">About</a></li>
+<li><a href="/about/press/">Press</a></li>
+<li><a class="current" href="/about/attribution/">Attribution</a></li>
+<li><a href="/about/legal/">Legal / Privacy</a></li>
+</ul>
+</section>
+
+ATTRIBUTION PROTOCOL
+
+If you use the MegaPixels data or any data derived from it, please cite the original work as follows:
+
+<pre>
+@online{megapixels,
+  author = {Harvey, Adam. LaPlace, Jules.},
+  title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
+  year = 2019,
+  url = {https://megapixels.cc/},
+  urldate = {2019-04-20}
+}
+</pre>
+
+and include this license and attribution protocol within any derivative work.
+
+If you publish data derived from MegaPixels, the original dataset creators should first be notified.
+
+The MegaPixels dataset is made available under the Open Data Commons Attribution License (https://opendatacommons.org/licenses/by/1.0/) and for academic use only.
+
+READABLE SUMMARY OF Open Data Commons Attribution License 
+
+You are free:
+
+> To Share: To copy, distribute and use the dataset
+To Create: To produce works from the dataset
+To Adapt: To modify, transform and build upon the database
+
+As long as you:
+
+> Attribute: You must attribute any public use of the database, or works produced from the database, in the manner specified in the license. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the database and keep intact any notices on the original database.
+
+
+
diff --git a/site/content/pages/about/faq.md b/site/content/pages/about/faq.md
deleted file mode 100644
index 8b780262..00000000
--- a/site/content/pages/about/faq.md
+++ /dev/null
@@ -1,26 +0,0 @@
-------------
-
-status: published
-title: MegaPixels Press and News
-desc: MegaPixels Press and News
-slug: faqs
-cssclass: about
-published: 2018-12-04
-updated: 2018-12-04
-authors: Adam Harvey
- 
-------------
- 
-# FAQs
-
-<section class="about-menu">
-<ul>
-<li><a href="/about/">About</a></li>
-<li><a class="current" href="/about/faq/">FAQs</a></li>
-<li><a href="/about/press/">Press</a></li>
-<li><a href="/about/terms/">Terms</a></li>
-<li><a href="/about/privacy/">Privacy</a></li>
-</ul>
-</section>
-
-[ page under development ]
diff --git a/site/content/pages/about/index.md b/site/content/pages/about/index.md
index 5fc147c9..f68008cc 100644
--- a/site/content/pages/about/index.md
+++ b/site/content/pages/about/index.md
@@ -16,17 +16,18 @@ authors: Adam Harvey
 <section class="about-menu">
 <ul>
 <li><a class="current" href="/about/">About</a></li>
-<li><a href="/about/faq/">FAQs</a></li>
 <li><a href="/about/press/">Press</a></li>
-<li><a href="/about/terms/">Terms</a></li>
-<li><a href="/about/privacy/">Privacy</a></li>
+<li><a href="/about/attribution/">Attribution</a></li>
+<li><a href="/about/legal/">Legal / Privacy</a></li>
 </ul>
 </section>
 
-MegaPixels is an independent art and research project by Adam Harvey and Jules LaPlace investigating the ethics and individual privacy implications of publicly available face recognition datasets, and their role in industry and governmental expansion into biometric surveillance technologies.
+MegaPixels is an independent art and research project by Adam Harvey and Jules LaPlace that investigates the ethics, origins, and individual privacy implications of face recognition image datasets and their role in the expansion of biometric surveillance technologies.
+
 
 The MegaPixels site is made possible with support from <a href="http://mozilla.org">Mozilla</a>
 
+
 <div class="flex-container team-photos-container">
     <div class="team-member">
         <h3>Adam Harvey</h3>
@@ -42,30 +43,37 @@ The MegaPixels site is made possible with support from <a href="http://mozilla.o
     </div>
 </div>
 
-MegaPixels.cc is an independent research project about publicly available face recognition datasets. This website is based, in part, on earlier installations and research projects about facial recognition datasets in 2016-2018, which focused particularly on the MegaFace dataset. Since then it has evolved into a large-scale survey of publicly-available face and person analysis datasets, covering their usage, geographies, and ethics.
 
-An academic report and presentation on the findings is forthcoming. This site is published to make the research more accessible to a wider audience and to include visualizations and interactive features not possible in PDF publications. Continued research on MegaPixels is supported by a 1 year Researcher-in-Residence grant from Karlsruhe HfG.
+The MegaPixels website is based on an [earlier installation from 2017](https://ahprojects.com/megapixels-glassroom/) and ongoing research and lectures ([TedX](https://www.youtube.com/watch?v=bfhcco9gS30), [CPDP](https://www.cpdpconferences.org/events/megapixels-is-in-publicly-available-facial-recognition-datasets)) about facial recognition datasets. Over the last several years this project has evolved into a large-scale interrogation of hundreds of publicly-available face and person analysis datasets. 
+
+MegaPixels aims to provide a critical perspective on machine learning image datsets, one that might otherwise escape academia and the industry funded artificial intelligence think tanks that are often supported by the same technology companies who have created many of the datasets presented on this site.
+
+MegaPixels is an independent project, designed as a public resource for educators, students, journalists, and researchers. Each dataset presented on this site undergoes a thorough review of its images, intent, and funding sources. Though the goals are similar to publishing a public academic paper, MegaPixels is a website-first reserch project aligns closley with the goals of pre-print academic publications. As such we welcome feedback and ways to improve this site and the clarity of the research.
+
+Because this project surfaces many funding issues with datasets (from datasets funded by the C.I.A. to the National Unviversity of Defense and Technology in China), it is important that we are transparent about own funding. The original MegaPixels installation in 2017 was built as a commission for and with support from Tactical Technology Collective and Mozilla. The bulk of the research and web-development during 2018 - 2018 was supported by a grant from Mozilla. Continued development in 2019 is partially supported by a 1-year Reseacher-in-Residence grant from Karlsruhe HfG, lecture and workshop fees, and from commissions and sales from the Privacy Gift Shop.
+
+Please get in touch if you are interested in supporting this project.
 
-When possible, and once thoroughly verified, data generated for MegaPixels will be made available for download on [github.com/adamhrv/megapixels](https://github.com/adamhrv/megapixels)
 
 === columns 3
 
-#### Team
+##### Team
 
-- Adam Harvey: Concept, research, design, computer vision
-- Jules LaPlace: Information and systems architecture, data retrieval, web applications
+- Adam Harvey: Concept, research and analysis, design, computer vision
+- Jules LaPlace: Information and systems architecture, data management, web applications
+You are free:
 
 ===========
 
-#### Contributing Researchers
+##### Contributing Researchers
 
-- Berit Gilma: Dataset statistics and discovery
-- Beth (aka Ms. Celeb): Dataset usage verification and research
-- Mathana Stender: Commercial usage verification and research on LFW
+- Berit Gilma
+- Beth (aka Ms. Celeb)
+- Mathana Stender
 
 ===========
 
-#### Code and Libraries
+##### Code and Libraries
 
 - [Semantic Scholar](https://semanticscholar.org) for citation aggregation
 - Leaflet.js for maps
@@ -75,4 +83,18 @@ When possible, and once thoroughly verified, data generated for MegaPixels will
 
 === end columns
 
-Please direct questions, comments, or feedback to [mastodon.social/@adamhrv](https://mastodon.social/@adamhrv)
\ No newline at end of file
+Please direct questions, comments, or feedback to [mastodon.social/@adamhrv](https://mastodon.social/@adamhrv)
+
+##### Attribution
+
+If you use MegaPixels or any data derived from it for your work, please cite our original work as follows:
+
+<pre>
+@online{megapixels,
+  author = {Harvey, Adam. LaPlace, Jules.},
+  title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
+  year = 2019,
+  url = {https://megapixels.cc/},
+  urldate = {2019-04-20}
+}
+</pre>
diff --git a/site/content/pages/about/legal.md b/site/content/pages/about/legal.md
index 089f32d7..85cf5c48 100644
--- a/site/content/pages/about/legal.md
+++ b/site/content/pages/about/legal.md
@@ -16,44 +16,70 @@ authors: Adam Harvey
 <section class="about-menu">
 <ul>
 <li><a href="/about/">About</a></li>
-<li><a href="/about/faq/">FAQs</a></li>
 <li><a href="/about/press/">Press</a></li>
-<li><a href="/about/terms/">Terms</a></li>
-<li><a class="current" href="/about/privacy/">Privacy</a></li>
+<li><a href="/about/attribution/">Attribution</a></li>
+<li><a class="current" href="/about/legal/">Legal / Privacy</a></li>
 </ul>
 </section>
 
 MegaPixels.cc Terms and Privacy
 
-MegaPixels is an independent art and research project about the origins and ethics of publicly available face analysis image datasets. By accessing MegaPixels (the *Service* or *Services*) you agree to the terms and conditions set forth below.
-
-### Changes
-
-We reserve the right, at our sole discretion, to modify or replace these Terms at any time. If a revision is material we will try to provide at least 30 days notice prior to any new terms taking effect. What constitutes a material change will be determined at our sole discretion.
-
-By continuing to access or use our Service after those revisions become effective, you agree to be bound by the revised terms. If you do not agree to the new terms, please stop using the Service.
+MegaPixels is an independent and academic art and research project about the origins and ethics of publicly available face analysis image datasets. By accessing MegaPixels (the *Service* or *Services*) you agree to the terms and conditions set forth below.
 
 
 ## Privacy
 
-The MegaPixels site has been designed to minimize the amount of network requests to 3rd party services and therefore prioritize the privacy of the viewer by only loading local dependencies. Additionaly, this site does not use any anaytics programs to monitor site viewers. In fact, the only data collected are the necessary server logs that used only for preventing misuse, which are deleteted at regular short-term intervals.
+The MegaPixels site has been designed to minimize the amount of network requests to 3rd party services and therefore prioritize the privacy of the viewer. This site does not use any local or external analytics programs to monitor site viewers. In fact, the only data collected are the necessary server logs used only for preventing misuse, which are deleted at short-term intervals.
 
 ## 3rd Party Services
 
-In order to provide certain features of the site, some 3rd party services are needed. Currently, the MegaPixels.cc site uses two 3rd party services: (1) Leaflet.js for the interactive map and (2 Digital Ocean Spaces as a condent delivery network. Both services encrypt your requests to their server using HTTPS and neither service requires storing any cookies or authentication. However, both services will store files in your web browser's local cache (local storage) to improve loading performance. None of these local storage files are using for analytics, cookie-like technologies, tracking, or any similar purpose.
+In order to provide certain features of the site, some 3rd party services are needed. Currently, the MegaPixels.cc site uses two 3rd party services: (1) Leaflet.js for the interactive map and (2) Digital Ocean Spaces as a content delivery network. Both services encrypt your requests to their server using HTTPS and neither service requires storing any cookies or authentication. However, both services will store files in your web browser's local cache (local storage) to improve loading performance. None of these local storage files are using for analytics, tracking, or any similar purpose.
 
 ### Links To Other Web Sites
 
-The MegaPixels.cc contains many links to 3rd party websites, especically in the list of citations that are provided for each dataset. This website has no control over and assumes no responsibility for, the content, privacy policies, or practices of any third party web sites or services. You further acknowledge and agree that megapixels.cc shall not be responsible or liable, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with use of or reliance on any such content, goods or services available on or through any such web sites or services.
+The MegaPixels.cc contains many links to 3rd party websites, especially in the list of citations that are provided for each dataset. This website has no control over and assumes no responsibility for, the content, privacy policies, or practices of any third party web sites or services. You  acknowledge and agree that megapixels.cc shall not be responsible or liable, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with use of or reliance on any such content, goods or services available on or through any such web sites or services.
 
 We advise you to read the terms and conditions and privacy policies of any third-party web sites or services that you visit.
 
+### Information We Collect
+
+When you access the Service, we record your visit to the site in a server log file for the purposes of maintaining site security and preventing misuse. This includes your IP address and the header information sent by your web browser which includes the User Agent, referrer, and the requested page on our site.
+
+### Information We Share
+
+We do not share or make public any information about individual site visitors, unless where required by law to the extent that server logs are only retained for a limited duration.
+
+
+### Information We Provide
+
+We provide information for educational, journalistic, and research purposes. The published information on MegaPixels is made available under the Open Data Commons Attribution License (https://opendatacommons.org/licenses/by/1.0/) and for academic use only.
 
-### The Information We Provide
+You are free:
 
-While every intention is made to verify and publish only verifiablenformation, at times amendments to accuracy may be required. In no event will the operators of this site be liable for your use or misuse of the information provided.
+> To Share: To copy, distribute and use the dataset
+To Create: To produce works from the dataset
+To Adapt: To modify, transform and build upon the database
 
-We may terminate or suspend access to our Service immediately, without prior notice or liability, for any reason whatsoever, including without limitation if you breach the Terms.
+As long as you:
+
+
+> Attribute: You must attribute any public use of the database, or works produced from the database, in the manner specified in the license. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the database and keep intact any notices on the original database.
+
+If you use the MegaPixels data or any data derived from it, please cite the original work as follows:
+
+<pre>
+@online{megapixels,
+  author = {Harvey, Adam. LaPlace, Jules.},
+  title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
+  year = 2019,
+  url = {https://megapixels.cc/},
+  urldate = {2019-04-20}
+}
+</pre>
+
+While every intention is made to publish only verifiable information, at times information may be edited, removed, or appended for clarity or correction. In no event will the operators of this site be liable for your use or misuse of the information provided.
+
+We may terminate or suspend access to our Service immediately without prior notice or liability, for any reason whatsoever, including without limitation if you breach the Terms.
 
 All provisions of the Terms which by their nature should survive termination shall survive termination, including, without limitation, ownership provisions, warranty disclaimers, indemnity and limitations of liability.
 
@@ -69,7 +95,7 @@ Without prior written consent, you shall not:
 
 (iii) use services, software or any manual or automatic device, tool, or process designed to circumvent any restriction, condition, or technological measure that controls access to the Services in any way, including overriding any security feature or bypassing or circumventing any access controls or use limits of the Services;
 
-(iv) cache or archive the Content (except for a public search engine’s use of spiders for creating search indices);
+(iv) cache or archive the Content (except for a public search engine’s use of spiders for creating search indices) with prior written consent;
 
 (v) take action that imposes an unreasonable or disproportionately large load on our network or infrastructure; and
 
@@ -85,4 +111,8 @@ Our failure to enforce any right or provision of these Terms will not be conside
 
 ### Indemnity
 
-You hereby indemnify, defend and hold harmless MegaPixels (and its creators) and all officers, directors, owners, agents, information providers, affiliates, licensors and licensees (collectively, the "Indemnified Parties") from and against any and all liability and costs, including, without limitation, reasonable attorneys' fees, incurred by the Indemnified Parties in connection with any claim arising out of any breach by you or any user of your account of these Terms of Service or the foregoing representations, warranties and covenants. You shall cooperate as fully as reasonably required in the defense of any such claim. We reserves the right, at its own expense, to assume the exclusive defense and control of any matter subject to indemnification by you.
\ No newline at end of file
+You hereby indemnify, defend and hold harmless MegaPixels (and its creators) and all officers, directors, owners, agents, information providers, affiliates, licensors and licensees (collectively, the "Indemnified Parties") from and against any and all liability and costs, including, without limitation, reasonable attorneys' fees, incurred by the Indemnified Parties in connection with any claim arising out of any breach by you or any user of your account of these Terms of Service or the foregoing representations, warranties and covenants. You shall cooperate as fully as reasonably required in the defense of any such claim. We reserves the right, at its own expense, to assume the exclusive defense and control of any matter subject to indemnification by you.
+
+### Changes
+
+We reserve the right, at our sole discretion, to modify or replace these Terms at any time. By continuing to use or access our Service after revisions become effective, you agree to be bound by the revised terms. If you do not agree to revised terms, please do not use the Service.
\ No newline at end of file
diff --git a/site/content/pages/about/press.md b/site/content/pages/about/press.md
index a0780d64..d3ed008c 100644
--- a/site/content/pages/about/press.md
+++ b/site/content/pages/about/press.md
@@ -16,13 +16,10 @@ authors: Adam Harvey
 <section class="about-menu">
 <ul>
 <li><a href="/about/">About</a></li>
-<li><a href="/about/faq/">FAQs</a></li>
 <li><a class="current" href="/about/press/">Press</a></li>
-<li><a href="/about/terms/">Terms</a></li>
-<li><a href="/about/privacy/">Privacy</a></li>
+<li><a href="/about/attribution/">Attribution</a></li>
+<li><a href="/about/legal/">Legal / Privacy</a></li>
 </ul>
 </section>
 
-(TEMPORARY PAGE)
-
 - Aug 22, 2018: "Transgender YouTubers had their videos grabbed to train facial recognition software" by James Vincent <https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset>
\ No newline at end of file
diff --git a/site/content/pages/datasets/50_people_one_question/assets/background.jpg b/site/content/pages/datasets/50_people_one_question/assets/background.jpg
deleted file mode 100644
index f7567314..00000000
--- a/site/content/pages/datasets/50_people_one_question/assets/background.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/50_people_one_question/assets/background_02.jpg b/site/content/pages/datasets/50_people_one_question/assets/background_02.jpg
deleted file mode 100644
index f20ee861..00000000
--- a/site/content/pages/datasets/50_people_one_question/assets/background_02.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/50_people_one_question/assets/index.jpg b/site/content/pages/datasets/50_people_one_question/assets/index.jpg
deleted file mode 100644
index 7bf4ed1d..00000000
--- a/site/content/pages/datasets/50_people_one_question/assets/index.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/50_people_one_question/assets/index_02.jpg b/site/content/pages/datasets/50_people_one_question/assets/index_02.jpg
deleted file mode 100644
index 347bd08d..00000000
--- a/site/content/pages/datasets/50_people_one_question/assets/index_02.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/50_people_one_question/index.md b/site/content/pages/datasets/50_people_one_question/index.md
index 2276e386..8b7fb931 100644
--- a/site/content/pages/datasets/50_people_one_question/index.md
+++ b/site/content/pages/datasets/50_people_one_question/index.md
@@ -13,24 +13,11 @@ authors: Adam Harvey
 
 ------------
 
-### sidebar
-
-+ Collected: TBD
-+ Published: TBD
-+ Images: TBD
-+ Faces: TBD
-
-
 ## 50 People 1 Question
 
-(PAGE UNDER DEVELOPMENT)
-
-At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. 
-
-Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat
-
-{% include 'map.html' %}
+### sidebar
+### end sidebar
 
-{% include 'supplementary_header.html' %}
+[ page under development ]
 
-{% include 'citations.html' %}
\ No newline at end of file
+{% include 'dashboard.html' %}
\ No newline at end of file
diff --git a/site/content/pages/datasets/afad/index.md b/site/content/pages/datasets/afad/index.md
index 3b0ca3c3..755506d8 100644
--- a/site/content/pages/datasets/afad/index.md
+++ b/site/content/pages/datasets/afad/index.md
@@ -10,18 +10,18 @@ authors: Adam Harvey
 
 ------------
 
-# Asian Face Age Dataset
+## Asian Face Age Dataset
 
-+ Years: 2016?
-+ Images: 164,432
-+ Identities: 4,362
-+ Origin: RenRen
+### sidebar
+### end sidebar
 
+[ page under development ]
 
------
+{% include 'dashboard.html' %}
 
-## Research
+-----
 
+## (ignore) research notes
 
 > The Asian Face Age Dataset (AFAD) is a new dataset proposed for evaluating the performance of age estimation, which contains more than 160K facial images and the corresponding age and gender labels. This dataset is oriented to age estimation on Asian faces, so all the facial images are for Asian faces. It is noted that the AFAD is the biggest dataset for age estimation to date. It is well suited to evaluate how deep learning methods can be adopted for age estimation.
 Motivation
diff --git a/site/content/pages/datasets/aflw/aflw_index.gif b/site/content/pages/datasets/aflw/aflw_index.gif
deleted file mode 100644
index b794c030..00000000
--- a/site/content/pages/datasets/aflw/aflw_index.gif
+++ /dev/null
diff --git a/site/content/pages/datasets/aflw/index.md b/site/content/pages/datasets/aflw/index.md
deleted file mode 100644
index 66f0f806..00000000
--- a/site/content/pages/datasets/aflw/index.md
+++ /dev/null
@@ -1,33 +0,0 @@
-------------
-
-status: draft
-title: Annotated Facial Landmarks in The Wild
-desc: AFLW: Annotated Facial Landmarks in The Wild
-slug: aflw
-published: 2019-2-23
-updated: 2019-2-23
-authors: Adam Harvey
-
-------------
-
-# Annotated Facial Landmarks in The Wild
-
-+ Years: 1993-1996
-+ Images: 25,993
-+ Identities: 1,199 
-+ Origin: Flickr
-
-
-<!--header-->
-
-![](aflw_index.gif)*FERET, the first large scale facial recognition dataset*
-
-
-
---------
-
-RESEARCH below this line
-
-> The motivation for the AFLW database is the need for a large-scale, multi-view, real-world face database with annotated facial features. We gathered the images on Flickr using a wide range of face relevant tags (e.g., face, mugshot, profile face). The downloaded set of images was manually scanned for images containing faces. The key data and most important properties of the database are:
-
-<https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/aflw/>
\ No newline at end of file
diff --git a/site/content/pages/datasets/brainwash/assets/00425000_640x480.jpg b/site/content/pages/datasets/brainwash/assets/00425000_640x480.jpg
deleted file mode 100644
index de62175a..00000000
--- a/site/content/pages/datasets/brainwash/assets/00425000_640x480.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/brainwash/assets/00425000_960.jpg b/site/content/pages/datasets/brainwash/assets/00425000_960.jpg
deleted file mode 100644
index caa96fe2..00000000
--- a/site/content/pages/datasets/brainwash/assets/00425000_960.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/brainwash/assets/background.jpg b/site/content/pages/datasets/brainwash/assets/background.jpg
index e6393ab5..83499088 100644..100755
--- a/site/content/pages/datasets/brainwash/assets/background.jpg
+++ b/site/content/pages/datasets/brainwash/assets/background.jpg
diff --git a/site/content/pages/datasets/brainwash/assets/brainwash_example.jpg b/site/content/pages/datasets/brainwash/assets/brainwash_example.jpg
new file mode 100755
index 00000000..3ddf4323
--- /dev/null
+++ b/site/content/pages/datasets/brainwash/assets/brainwash_example.jpg
diff --git a/site/content/pages/datasets/brainwash/assets/brainwash_grid.jpg b/site/content/pages/datasets/brainwash/assets/brainwash_grid.jpg
new file mode 100755
index 00000000..0271ec6a
--- /dev/null
+++ b/site/content/pages/datasets/brainwash/assets/brainwash_grid.jpg
diff --git a/site/content/pages/datasets/brainwash/assets/brainwash_mean_overlay.jpg b/site/content/pages/datasets/brainwash/assets/brainwash_mean_overlay.jpg
deleted file mode 100755
index 2f5917e3..00000000
--- a/site/content/pages/datasets/brainwash/assets/brainwash_mean_overlay.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/brainwash/assets/brainwash_mean_overlay_wm.jpg b/site/content/pages/datasets/brainwash/assets/brainwash_mean_overlay_wm.jpg
deleted file mode 100755
index 790dbb79..00000000
--- a/site/content/pages/datasets/brainwash/assets/brainwash_mean_overlay_wm.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/brainwash/assets/brainwash_montage.jpg b/site/content/pages/datasets/brainwash/assets/brainwash_montage.jpg
deleted file mode 100644
index 193fdd03..00000000
--- a/site/content/pages/datasets/brainwash/assets/brainwash_montage.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/brainwash/assets/brainwash_saliency_map.jpg b/site/content/pages/datasets/brainwash/assets/brainwash_saliency_map.jpg
new file mode 100755
index 00000000..38e540f0
--- /dev/null
+++ b/site/content/pages/datasets/brainwash/assets/brainwash_saliency_map.jpg
diff --git a/site/content/pages/datasets/brainwash/assets/index.jpg b/site/content/pages/datasets/brainwash/assets/index.jpg
index e5004ec0..d47aa68d 100755
--- a/site/content/pages/datasets/brainwash/assets/index.jpg
+++ b/site/content/pages/datasets/brainwash/assets/index.jpg
diff --git a/site/content/pages/datasets/brainwash/index.md b/site/content/pages/datasets/brainwash/index.md
index db88d949..b57bcdf4 100644
--- a/site/content/pages/datasets/brainwash/index.md
+++ b/site/content/pages/datasets/brainwash/index.md
@@ -14,49 +14,36 @@ authors: Adam Harvey
 
 ------------
 
-### sidebar
-### end sidebar
-
 ## Brainwash Dataset
 
-*Brainwash* is a head detection dataset created from San Francisco's Brainwash Cafe livecam footage. It includes 11,918 images of "everyday life of a busy downtown cafe"[^readme] captured at 100 second intervals throught the entire day. Brainwash dataset was captured during 3 days in 2014: October 27, November 13, and November 24. According the author's reserach paper introducing the dataset, the images were acquired with the help of Angelcam.com [cite orig paper].
-
-Brainwash is not a widely used dataset but since its publication by Stanford University in 2015, it has notably appeared in several research papers from the National University of Defense Technology in Changsha, China. In 2016 and in 2017 researchers there conducted studies on detecting people's heads in crowded scenes for the purpose of surveillance [^localized_region_context] [^replacement_algorithm].
-
-If you happen to have been at Brainwash cafe in San Franscisco at any time on October 26, November 13, or November 24 in 2014 you are most likely included in the Brainwash dataset.
+### sidebar
+### end sidebar
 
-![caption: The pixel-averaged image of all Brainwash dataset images is shown with 81,973 head annotations drawn from the Brainwash training partition. (c) Adam Harvey](assets/brainwash_mean_overlay.jpg)
+Brainwash is a dataset of livecam images taken from San Francisco's Brainwash Cafe. It includes 11,918 images of "everyday life of a busy downtown cafe"[^readme] captured at 100 second intervals throught the entire day. The Brainwash dataset includes 3 full days of webcam images taken on October 27, November 13, and November 24 in 2014. According the author's [reserach paper](https://www.semanticscholar.org/paper/End-to-End-People-Detection-in-Crowded-Scenes-Stewart-Andriluka/1bd1645a629f1b612960ab9bba276afd4cf7c666) introducing the dataset, the images were acquired with the help of Angelcam.com[^end_to_end]
 
+The Brainwash dataset is unique because it uses images from a publicly available webcam that records people inside a privately owned business without any consent. No ordinary cafe custom could ever suspect there image would end up in dataset used for surveillance reserach and development, but that is exactly what happened to customers at Brainwash cafe in San Francisco.
 
-{% include 'chart.html' %}
+Although Brainwash appears to be a less popular dataset, it was used in 2016 and 2017 by researchers from the National University of Defense Technology in China took note of the dataset and used it for two [research](https://www.semanticscholar.org/paper/Localized-region-context-and-object-feature-fusion-Li-Dou/b02d31c640b0a31fb18c4f170d841d8e21ffb66c) [projects](https://www.semanticscholar.org/paper/A-Replacement-Algorithm-of-Non-Maximum-Suppression-Zhao-Wang/591a4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b) on advancing the capabilities of object detection to more accurately isolate the target region in an image ([PDF](https://www.itm-conferences.org/articles/itmconf/pdf/2017/04/itmconf_ita2017_05006.pdf)). [^localized_region_context] [^replacement_algorithm]. The dataset also appears in a 2017 [research paper](https://ieeexplore.ieee.org/document/7877809) from Peking University for the purpose of improving surveillance capabilities for "people detection in the crowded scenes". 
 
-{% include 'piechart.html' %}
 
-{% include 'map.html' %}
+![caption: A visualization of 81,973 head annotations from the Brainwash dataset training partition. &copy; megapixels.cc](assets/brainwash_grid.jpg)
 
-{% include 'citations.html' %}
+{% include 'dashboard.html' %}
 
 {% include 'supplementary_header.html' %}
 
-![caption: An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)](assets/00425000_960.jpg)
-
-![caption: 49 of the 11,918 images included in the Brainwash dataset. License: Open Data Commons Public Domain Dedication (PDDL)](assets/brainwash_montage.jpg)
-
-#### Additional Resources
 
-- The dataset author spoke about his research at the CVPR conference in 2016 <https://www.youtube.com/watch?v=Nl2fBKxwusQ>
+![caption: An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)](assets/brainwash_example.jpg)
 
+![caption: A visualization of 81,973 head annotations from the Brainwash dataset training partition. &copy; megapixels.cc](assets/brainwash_saliency_map.jpg)
 
-TODO
-
-- add bounding boxes to the header image
-- remake montage with randomized images, with bboxes
-- clean up intro text
-- verify quote citations
 
+{% include 'cite_our_work.html' %}
 
 ### Footnotes
 
+
 [^readme]: "readme.txt" https://exhibits.stanford.edu/data/catalog/sx925dc9385.
+[^end_to_end]: Stewart, Russel. Andriluka, Mykhaylo. "End-to-end people detection in crowded scenes". 2016. 
 [^localized_region_context]: Li, Y. and Dou, Y. and Liu, X. and Li, T. Localized Region Context and Object Feature Fusion for People Head Detection. ICIP16 Proceedings. 2016. Pages 594-598.
-[^replacement_algorithm]: Zhao. X, Wang Y, Dou, Y. A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering. 
\ No newline at end of file
+[^replacement_algorithm]: Zhao. X, Wang Y, Dou, Y. A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering.
diff --git a/site/content/pages/datasets/caltech_10k/index.md b/site/content/pages/datasets/caltech_10k/index.md
index 6b37c1f9..db2383c7 100644
--- a/site/content/pages/datasets/caltech_10k/index.md
+++ b/site/content/pages/datasets/caltech_10k/index.md
@@ -3,27 +3,25 @@
 status: draft
 title: Caltech 10K Faces Dataset
 desc: Caltech 10K Faces Dataset
-slug: caltech_10k
+slug: brainwash
 published: 2019-2-23
 updated: 2019-2-23
 authors: Adam Harvey
 
 ------------
 
-# Caltech 10K Faces Dataset
 
-+ Years: TBD
-+ Images: TBD
-+ Identities: TBD
-+ Origin: Google Search
-+ Funding: TBD
+## Caltech 10K Faces Dataset
 
--------
+### sidebar
+### end sidebar
 
-Ignore text below these lines
+[ page under development ]
 
--------
+{% include 'dashboard.html' %}
 
-Research
+---
+
+### (ignore) research notes
 
 The dataset contains images of people collected from the web by typing common given names into  Google Image Search. The coordinates of the eyes, the nose and the center of the mouth for each frontal face are provided in a ground truth file. This information can be used to align and crop the human faces or as a ground truth for a face detection algorithm. The dataset has 10,524 human faces of various resolutions and in different settings, e.g. portrait images, groups of people, etc. Profile faces or very low resolution faces are not labeled. 
\ No newline at end of file
diff --git a/site/content/pages/datasets/celeba/index.md b/site/content/pages/datasets/celeba/index.md
index a2669cf6..3f3aea79 100644
--- a/site/content/pages/datasets/celeba/index.md
+++ b/site/content/pages/datasets/celeba/index.md
@@ -13,27 +13,14 @@ authors: Adam Harvey
 
 ------------
 
-### sidebar
-
-+ Collected: TBD
-+ Published: TBD
-+ Images: TBD
-+ Faces: TBD
-
-
-## CelebA
+## CelebA Dataset
 
-(PAGE UNDER DEVELOPMENT)
-
-At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. 
-
-Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat
-
-{% include 'map.html' %}
+### sidebar
+### end sidebar
 
-{% include 'supplementary_header.html' %}
+[ PAGE UNDER DEVELOPMENT ]
 
-{% include 'citations.html' %}
+{% include 'dashboard.html' %}
 
 -----
 
diff --git a/site/content/pages/datasets/cofw/assets/cofw_index.gif b/site/content/pages/datasets/cofw/assets/cofw_index.gif
deleted file mode 100644
index 722dc6d6..00000000
--- a/site/content/pages/datasets/cofw/assets/cofw_index.gif
+++ /dev/null
diff --git a/site/content/pages/datasets/cofw/index.md b/site/content/pages/datasets/cofw/index.md
index d017f405..3cafe5b1 100644
--- a/site/content/pages/datasets/cofw/index.md
+++ b/site/content/pages/datasets/cofw/index.md
@@ -11,7 +11,18 @@ authors: Adam Harvey
 ------------
 
 
+## Caltech Occluded Faces in the Wild
+
 ### sidebar
+### end sidebar
+
+[ PAGE UNDER DEVELOPMENT ]
+
+{% include 'dashboard.html' %}
+
+--------
+
+### (ignore) research notes
 
 + Years: 1993-1996
 + Images: 14,126
@@ -19,18 +30,8 @@ authors: Adam Harvey
 + Origin: Web Searches
 + Funded by: ODNI, IARPA, Microsoft
 
-
-## Caltech Occluded Faces in the Wild
-
-(PAGE UNDER DEVELOPMENT)
-
 COFW is "is designed to benchmark face landmark algorithms in realistic conditions, which include heavy occlusions and large shape variations" [Robust face landmark estimation under occlusion].
 
-
---------
-
-RESEARCH below this line
-
 > We asked four people with different levels of computer vision knowledge to each collect 250 faces representative of typical real-world images, with the clear goal of challenging computer vision methods.
 The result is 1,007 images of faces obtained from a variety of sources. 
 
diff --git a/site/content/pages/datasets/duke_mtmc/assets/background.jpg b/site/content/pages/datasets/duke_mtmc/assets/background.jpg
index 2275bd9e..080939ba 100755..100644
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+++ b/site/content/pages/datasets/duke_mtmc/assets/background.jpg
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diff --git a/site/content/pages/datasets/duke_mtmc/assets/index.jpg b/site/content/pages/datasets/duke_mtmc/assets/index.jpg
index 7b144b42..1062e85c 100755..100644
--- a/site/content/pages/datasets/duke_mtmc/assets/index.jpg
+++ b/site/content/pages/datasets/duke_mtmc/assets/index.jpg
diff --git a/site/content/pages/datasets/duke_mtmc/index.md b/site/content/pages/datasets/duke_mtmc/index.md
index c626ef4e..0f4986de 100644
--- a/site/content/pages/datasets/duke_mtmc/index.md
+++ b/site/content/pages/datasets/duke_mtmc/index.md
@@ -1,9 +1,9 @@
 ------------
 
 status: published
-title: Duke Multi-Target, Multi-Camera Tracking
+title: Duke MTMC
 desc: <span class="dataset-name">Duke MTMC</span> is a dataset of surveillance camera footage of students on Duke University campus
-subdesc: Duke MTMC contains over 2 million video frames and 2,000 unique identities collected from 8 HD cameras at Duke University campus in March 2014
+subdesc: Duke MTMC contains over 2 million video frames and 2,700 unique identities collected from 8 HD cameras at Duke University campus in March 2014
 slug: duke_mtmc
 cssclass: dataset
 image: assets/background.jpg
@@ -13,125 +13,122 @@ authors: Adam Harvey
 
 ------------
 
+## Duke MTMC
+
 ### sidebar
+### end sidebar
 
-+ Created: 2014
-+ Identities: Over 2,700
-+ Used for: Face recognition, person re-identification
-+ Created by: Computer Science Department, Duke University, Durham, US
-+ Website: <a href="http://vision.cs.duke.edu/DukeMTMC/">duke.edu</a>
+Duke MTMC (Multi-Target, Multi-Camera) is a dataset of surveillance video footage taken on Duke University's campus in 2014 and is used for research and development of video tracking systems, person re-identification, and low-resolution facial recognition. The dataset contains over 14 hours of synchronized surveillance video from 8 cameras at 1080p and 60FPS with over 2 million frames of 2,000 students walking to and from classes. The 8 surveillance cameras deployed on campus were specifically setup to capture students "during periods between lectures, when pedestrian traffic is heavy"[^duke_mtmc_orig].
 
-## Duke Multi-Target, Multi-Camera Tracking Dataset (Duke MTMC)
+In this investigation into the Duke MTMC dataset we tracked down over 100 publicly available research papers that explicitly acknowledged using Duke MTMC. Our analysis shows that the dataset has spread far beyond its origins and intentions in academic research projects at Duke University. Since its publication in 2016, more than twice as many research citations originated in China as in the United States. Among these citations were papers with explicit and direct links to the Chinese military and several of the companies known to provide Chinese authorities with the oppressive surveillance technology used to monitor millions of Uighur Muslims.
 
-[ PAGE UNDER DEVELOPMENT ]
+In one 2018 [paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Attention-Aware_Compositional_Network_CVPR_2018_paper.pdf) jointly published by researchers from SenseNets and SenseTime (and funded by SenseTime Group Limited) entitled [Attention-Aware Compositional Network for Person Re-identification](https://www.semanticscholar.org/paper/Attention-Aware-Compositional-Network-for-Person-Xu-Zhao/14ce502bc19b225466126b256511f9c05cadcb6e), the Duke MTMC dataset was used for "extensive experiments" on improving person re-identification across multiple surveillance cameras with important applications in "finding missing elderly and children, and suspect tracking, etc." Both SenseNets and SenseTime have been directly linked to the providing surveillance technology to monitor Uighur Muslims in China. [^xinjiang_nyt][^sensetime_qz][^sensenets_uyghurs]
 
-Duke MTMC is a dataset of video recorded on Duke University campus during for the purpose of training, evaluating, and improving *multi-target multi-camera tracking*. The videos were recorded during February and March 2014 and cinclude
+![caption: A collection of 1,600 out of the approximately 2,000 students and pedestrians in the Duke MTMC dataset. These students were also included in the Duke MTMC Re-ID dataset extension used for person re-identification, and eventually the QMUL SurvFace face recognition dataset. Open Data Commons Attribution License.](assets/duke_mtmc_reid_montage.jpg)
 
-Includes a total of 888.8 minutes of video (ind. verified)
+Despite [repeated](https://www.hrw.org/news/2017/11/19/china-police-big-data-systems-violate-privacy-target-dissent) [warnings](https://www.hrw.org/news/2018/02/26/china-big-data-fuels-crackdown-minority-region) by Human Rights Watch that the authoritarian surveillance used in China represents a violation of human rights, researchers at Duke University continued to provide open access to their dataset for anyone to use for any project. As the surveillance crisis in China grew, so did the number of citations with links to organizations complicit in the crisis. In 2018 alone there were over 70 research projects happening in China that publicly acknowledged benefiting from the Duke MTMC dataset. Amongst these were projects from SenseNets, SenseTime, CloudWalk, Megvii, Beihang University, and the PLA's National University of Defense Technology.
 
-"We make available a new data set that has more than 2 million frames and more than 2,700 identities. It consists of 8×85 minutes of 1080p video recorded at 60 frames per second from 8 static cameras deployed on the Duke University campus during periods between lectures, when pedestrian traffic is heavy."
+| Organization | Paper | Link | Year | Used Duke MTMC |
+|---|---|---|---|
+| Beihang University | Orientation-Guided Similarity Learning for Person Re-identification | [ieee.org](https://ieeexplore.ieee.org/document/8545620) | 2018 | &#x2714; |
+| Beihang University | Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology | [acm.org](https://dl.acm.org/citation.cfm?id=3240663) | 2018 | &#x2714; |
+| CloudWalk | CloudWalk re-identification technology extends facial biometric tracking with improved accuracy | [BiometricUpdate.com](https://www.biometricupdate.com/201903/cloudwalk-re-identification-technology-extends-facial-biometric-tracking-with-improved-accuracy) | 2019 | &#x2714; |
+|CloudWalk| Horizontal Pyramid Matching for Person Re-identification | [arxiv.org](https://arxiv.org/pdf/1804.05275.pdf) | 2018 | &#x2714; |
+| Megvii | Person Re-Identification (slides) | [github.io](https://zsc.github.io/megvii-pku-dl-course/slides/Lecture%2011,%20Human%20Understanding_%20ReID%20and%20Pose%20and%20Attributes%20and%20Activity%20.pdf) | 2017 | &#x2714; |
+| Megvii | Multi-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent Progress on DukeMTMC Project | [SemanticScholar](https://www.semanticscholar.org/paper/Multi-Target%2C-Multi-Camera-Tracking-by-Hierarchical-Zhang-Wu/10c20cf47d61063032dce4af73a4b8e350bf1128) | 2018 | &#x2714; |
+| Megvii | SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial PersonRe-Identification | [arxiv.org](https://arxiv.org/abs/1810.06996) | 2018 | &#x2714; |
+| National University of Defense Technology | Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers | [SemanticScholar.org](https://www.semanticscholar.org/paper/Tracking-by-Animation%3A-Unsupervised-Learning-of-He-Liu/e90816e1a0e14ea1e7039e0b2782260999aef786) | 2018 | &#x2714; |
+| National University of Defense Technology | Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks | [SemanticScholar.org](https://www.semanticscholar.org/paper/Unsupervised-Multi-Object-Detection-for-Video-Using-He-He/59f357015054bab43fb8cbfd3f3dbf17b1d1f881) | 2018 | &#x2714; |
+| SenseNets, SenseTime | Attention-Aware Compositional Network for Person Re-identification | [SemanticScholar](https://www.semanticscholar.org/paper/Attention-Aware-Compositional-Network-for-Person-Xu-Zhao/14ce502bc19b225466126b256511f9c05cadcb6e) | 2018 | &#x2714; |
+|SenseTime| End-to-End Deep Kronecker-Product Matching for Person Re-identification | [thcvf.com](http://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_End-to-End_Deep_Kronecker-Product_CVPR_2018_paper.pdf) | 2018| &#x2714; |
 
-The dataset includes approximately 2,000 annotated identities appearing in 85 hours of video from 8 cameras located throughout Duke University's campus.
+The reasons that companies in China use the Duke MTMC dataset for research are technically no different than the reasons it is used in the United States and Europe. In fact, the original creators of the dataset published a follow up report in 2017 titled [Tracking Social Groups Within and Across Cameras](https://www.semanticscholar.org/paper/Tracking-Social-Groups-Within-and-Across-Cameras-Solera-Calderara/9e644b1e33dd9367be167eb9d832174004840400) with specific applications to "automated analysis of crowds and social gatherings for surveillance and security applications". Their work, as well as the creation of the original dataset in 2014 were both supported in part by the United States Army Research Laboratory.
 
-![caption: Duke MTMC pixel-averaged image of camera #5 is shown with the bounding boxes for each student drawn in white. (c) Adam Harvey](assets/duke_mtmc_cam5_average_comp.jpg)
+Citations from the United States and Europe show a similar trend to that in China, including publicly acknowledged and verified usage of the Duke MTMC dataset supported or carried out by the United States Department of Homeland Security, IARPA, IBM, Microsoft (who provides surveillance to ICE), and Vision Semantics (who works with the UK Ministry of Defence). One [paper](https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf) is even jointly published by researchers affiliated with both the University College of London and the National University of Defense Technology in China. 
 
-According to the dataset authors, 
+| Organization | Paper | Link | Year | Used Duke MTMC |
+|---|---|---|---|
+| IARPA, IBM | Horizontal Pyramid Matching for Person Re-identification | [arxiv.org](https://arxiv.org/abs/1804.05275) | 2018 | &#x2714; |
+| Microsoft | ReXCam: Resource-Efficient, Cross-CameraVideo Analytics at Enterprise Scale | [arxiv.org](https://arxiv.org/abs/1811.01268) | 2018 | &#x2714; |
+| Microsoft | Scaling Video Analytics Systems to Large Camera Deployments | [arxiv.org](https://arxiv.org/pdf/1809.02318.pdf) | 2018 | &#x2714; |
+| University College of London | Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based RecurrentAttention Networks | [SemanticScholar.org](https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf) | 2018 | &#x2714; |
+| US Dept. of Homeland Security | Re-Identification with Consistent Attentive Siamese Networks | [arxiv.org](https://arxiv.org/abs/1811.07487/) | 2019 | &#x2714; |
+| Vision Semantics Ltd. | Unsupervised Person Re-identification by Deep Learning Tracklet Association  | [arxiv.org](https://arxiv.org/abs/1809.02874) | 2018 | &#x2714; |
 
-{% include 'map.html' %}
 
-{% include 'chart.html' %}
+By some metrics the dataset is considered a huge success. It is regarded as highly influential research and has contributed to hundreds, if not thousands, of projects to advance artificial intelligence for person tracking and monitoring. All the above citations, regardless of which country is using it, align perfectly with the original [intent](http://vision.cs.duke.edu/DukeMTMC/) of the Duke MTMC dataset: "to accelerate advances in multi-target multi-camera tracking".
 
-{% include 'piechart.html' %}
+The same logic applies for all the new extensions of the Duke MTMC dataset including [Duke MTMC Re-ID](https://github.com/layumi/DukeMTMC-reID_evaluation), [Duke MTMC Video Re-ID](https://github.com/Yu-Wu/DukeMTMC-VideoReID), Duke MTMC Groups, and [Duke MTMC Attribute](https://github.com/vana77/DukeMTMC-attribute). And it also applies to all the new specialized datasets that will be created from Duke MTMC, such as the low-resolution face recognition dataset called [QMUL-SurvFace](https://qmul-survface.github.io/), which was funded in part by [SeeQuestor](https://seequestor.com), a computer vision provider to law enforcement agencies including Scotland Yards and Queensland Police. From the perspective of academic researchers, security contractors, and defense agencies using these datasets to advance their organization's work, Duke MTMC provides significant value regardless of who else is using it, so long as it advances their own interests in artificial intelligence.
+
+![caption: Duke MTMC pedestrian detection saliency maps for 8 cameras deployed on campus &copy; megapixels.cc](assets/duke_mtmc_saliencies.jpg)
 
-{% include 'supplementary_header.html' %}
 
-{% include 'citations.html' %}
+But this perspective comes at significant cost to civil rights, human rights, and privacy. The creation and distribution of the Duke MTMC illustrates an egregious prioritization of surveillance technologies over individual rights, where the simple act of going to class could implicate your biometric data in a surveillance training dataset, perhaps even used by foreign defense agencies against your own ethics, against your own political interests, or against universal human rights.
 
+For the approximately 2,000 students in Duke MTMC dataset there is unfortunately no escape. It would be impossible to remove oneself from all copies of the dataset downloaded around the world. Instead, over 2,000 students and visitors who happened to be walking to class in 2014 will forever remain in all downloaded copies of the Duke MTMC dataset and all its extensions, contributing to a global supply chain of data that powers governmental and commercial expansion of biometric surveillance technologies.
 
-----
+![caption: Duke MTMC camera views for 8 cameras deployed on campus &copy; megapixels.cc](assets/duke_mtmc_cameras.jpg)
 
-## Research Notes
+![caption: Duke MTMC camera locations on Duke University campus. Open Data Commons Attribution License.](assets/duke_mtmc_camera_map.jpg)
 
-- "We make available a new data set that has more than 2 million frames and more than 2,700 identities. It consists of 8×85 minutes of 1080p video recorded at 60 frames per second from 8 static cameras deployed on the Duke University campus during periods between lectures, when pedestrian traffic is heavy." - 27a2fad58dd8727e280f97036e0d2bc55ef5424c
-- "This work was supported in part by the EPSRC Programme Grant (FACER2VM) EP/N007743/1, EPSRC/dstl/MURI project EP/R018456/1, the National Natural Science Foundation of China (61373055, 61672265, 61602390, 61532009, 61571313), Chinese Ministry of Education (Z2015101), Science and Technology Department of Sichuan Province (2017RZ0009 and 2017FZ0029), Education Department of Sichuan Province (15ZB0130), the Open Research Fund from Province Key Laboratory of Xihua University (szjj2015-056) and the NVIDIA GPU Grant Program." - ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b
-- "DukeMTMC aims to accelerate advances in multi-target multi-camera tracking. It provides a tracking system that works within and across cameras, a new large scale HD video data set recorded by 8 synchronized cameras with more than 7,000 single camera trajectories and over 2,000 unique identities, and a new performance evaluation method that measures how often a system is correct about who is where"
-- DukeMTMC is a new, manually annotated, calibrated, multi-camera data set recorded outdoors on the Duke University campus with 8 synchronized cameras. It consists of:
 
-    8 static cameras x 85 minutes of 1080p 60 fps video
-    More than 2,000,000 manually annotated frames
-    More than 2,000 identities
-    Manual annotation by 5 people over 1 year
-    More identities than all existing MTMC datasets combined
-    Unconstrained paths, diverse appearance
-- 
-DukeMTMC Project
-Ergys Ristani Ergys Ristani Ergys Ristani Ergys Ristani Ergys Ristani
+{% include 'dashboard.html' %}
+
+{% include 'supplementary_header.html' %}
+
 
-People involved:
-Ergys Ristani, Francesco Solera, Roger S. Zou, Rita Cucchiara, Carlo Tomasi.
+#### Video Timestamps
 
-Navigation:
+The video timestamps contain the likely, but not yet confirmed, date and times the video recorded. Because the video timestamps align with the start and stop [time sync data](http://vision.cs.duke.edu/DukeMTMC/details.html#time-sync) provided by the researchers, it at least confirms the relative timing. The [precipitous weather](https://www.wunderground.com/history/daily/KIGX/date/2014-3-19?req_city=Durham&req_state=NC&req_statename=North%20Carolina&reqdb.zip=27708&reqdb.magic=1&reqdb.wmo=99999) on March 14, 2014 in Durham, North Carolina supports, but does not confirm, that this day is a potential capture date.
 
-    Data Set
-    Downloads
-    Downloads
-    Dataset Extensions
-    Performance Measures
-    Tracking Systems
-    Publications
-    How to Cite
-    Contact
+=== columns 2
 
-Welcome to the Duke Multi-Target, Multi-Camera Tracking Project.
+| Camera | Date  | Start | End |
+| --- | --- | --- | --- |
+| Camera 1 | March 14, 2014 | 4:14PM | 5:43PM |
+| Camera 2 | March 14, 2014 | 4:13PM | 4:43PM |
+| Camera 3 | March 14, 2014 | 4:20PM | 5:48PM |
+| Camera 4 | March 14, 2014 | 4:21PM | 5:54PM |
 
-DukeMTMC aims to accelerate advances in multi-target multi-camera tracking. It provides a tracking system that works within and across cameras, a new large scale HD video data set recorded by 8 synchronized cameras with more than 7,000 single camera trajectories and over 2,000 unique identities, and a new performance evaluation method that measures how often a system is correct about who is where.
-DukeMTMC Data Set
-Snapshot from the DukeMTMC data set.
+===========
 
-DukeMTMC is a new, manually annotated, calibrated, multi-camera data set recorded outdoors on the Duke University campus with 8 synchronized cameras. It consists of:
+| Camera | Date  | Start | End |
+| --- | --- | --- | --- |
+| Camera 5 | March 14, 2014 | 4:12PM | 5:43PM |
+| Camera 6 | March 14, 2014 | 4:18PM | 5:43PM |
+| Camera 7 | March 14, 2014 | 4:16PM | 5:40PM |
+| Camera 8 | March 14, 2014 | 4:25PM | 5:42PM |
 
-    8 static cameras x 85 minutes of 1080p 60 fps video
-    More than 2,000,000 manually annotated frames
-    More than 2,000 identities
-    Manual annotation by 5 people over 1 year
-    More identities than all existing MTMC datasets combined
-    Unconstrained paths, diverse appearance
+=== end columns
 
-News
 
-    05 Feb 2019 We are organizing the 2nd Workshop on MTMCT and ReID at CVPR 2019
-    25 Jul 2018: The code for DeepCC is available on github
-    28 Feb 2018: OpenPose detections now available for download
-    19 Feb 2018: Our DeepCC tracker has been accepted to CVPR 2018
-    04 Oct 2017: A new blog post describes ID measures of performance
-    26 Jul 2017: Slides from the BMTT 2017 workshop are now available
-    09 Dec 2016: DukeMTMC is now hosted on MOTChallenge 
+#### Errata
 
-DukeMTMC Downloads
+The original Duke MTMC dataset paper mentions 2,700 identities, but their ground truth file only lists annotations for 1,812, and their own research typically mentions 2,000. For this writeup we used 2,000 to describe the approximate number of students.
 
-    DukeMTMC dataset (tracking)
+#### Ethics
 
-Dataset Extensions
+Please direct any questions about the ethics of the dataset to Duke University's [Institutional Ethics & Compliance Office](https://hr.duke.edu/policies/expectations/compliance/) using the number at the bottom of the page.
 
-Below is a list of dataset extensions provided by the community:
+{% include 'cite_our_work.html' %}
 
-    DukeMTMC-VideoReID (download)
-    DukeMTMC-reID (download)
-    DukeMTMC4REID
-    DukeMTMC-attribute
+#### Citing Duke MTMC
 
-If you use or extend DukeMTMC, please refer to the license terms.
-DukeMTMCT Benchmark
+If you use any data from the Duke MTMC, please follow their [license](http://vision.cs.duke.edu/DukeMTMC/#how-to-cite) and cite their work as:
 
-DukeMTMCT is a tracking benchmark hosted on motchallenge.net. Click here for the up-to-date rankings. Here you will find the official motchallenge-devkit used for evaluation by MOTChallenge. For detailed instructions how to submit on motchallenge you can refer to this link.
+<pre>
+@inproceedings{ristani2016MTMC,
+  title =        {Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking},
+  author =       {Ristani, Ergys and Solera, Francesco and Zou, Roger and Cucchiara, Rita and Tomasi, Carlo},
+  booktitle =    {European Conference on Computer Vision workshop on Benchmarking Multi-Target Tracking},
+  year =         {2016}
+}
+</pre>
 
-Trackers are ranked using our identity-based measures which compute how often the system is correct about who is where, regardless of how often a target is lost and reacquired. Our measures are useful in applications such as security, surveillance or sports. This short post describes our measures with illustrations, while for details you can refer to the original paper.
-Tracking Systems
+### Footnotes
 
-We provide code for the following tracking systems which are all based on Correlation Clustering optimization:
+[^duke_mtmc_orig]: "Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking". 2016. [SemanticScholar](https://www.semanticscholar.org/paper/Performance-Measures-and-a-Data-Set-for-Tracking-Ristani-Solera/27a2fad58dd8727e280f97036e0d2bc55ef5424c)
+[^sensetime_qz]: <https://qz.com/1248493/sensetime-the-billion-dollar-alibaba-backed-ai-company-thats-quietly-watching-everyone-in-china/>
+[^sensenets_uyghurs]: <https://foreignpolicy.com/2019/03/19/962492-orwell-china-socialcredit-surveillance/>
+[^xinjiang_nyt]: Mozur, Paul. "One Month, 500,000 Face Scans: How China Is Using A.I. to Profile a Minority". https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html. April 14, 2019.
 
-    DeepCC for single- and multi-camera tracking [1]
-    Single-Camera Tracker (demo video) [2]
-    Multi-Camera Tracker (demo video, failure cases) [2]
-    People-Groups Tracker [3]
-    Original Single-Camera Tracker [4]
diff --git a/site/content/pages/datasets/facebook/index.md b/site/content/pages/datasets/facebook/index.md
deleted file mode 100644
index 84d2b572..00000000
--- a/site/content/pages/datasets/facebook/index.md
+++ /dev/null
@@ -1,32 +0,0 @@
-------------
-
-status: draft
-title: Facebook
-desc: TBD
-subdesc: TBD
-image: assets/background.jpg
-caption: TBD
-slug: facebook
-published: 2019-2-23
-updated: 2019-2-23
-color: #aaaaff
-authors: Adam Harvey
-
-------------
-
-### Statistics
-
-+ Years: 2002-2004
-+ Images: 13,233
-+ Identities: 5,749
-+ Origin: Yahoo News Images
-+ Funding: (Possibly, partially CIA)
-
-----
-
-Ignore content below these lines
-
----
-
-
-- Tool to create face datasets from Facebook <https://github.com/ankitaggarwal011/FaceGrab>
diff --git a/site/content/pages/datasets/feret/assets/feret_index.gif b/site/content/pages/datasets/feret/assets/feret_index.gif
deleted file mode 100644
index 6272f57b..00000000
--- a/site/content/pages/datasets/feret/assets/feret_index.gif
+++ /dev/null
diff --git a/site/content/pages/datasets/feret/index.md b/site/content/pages/datasets/feret/index.md
index da64f9fb..034ff4aa 100644
--- a/site/content/pages/datasets/feret/index.md
+++ b/site/content/pages/datasets/feret/index.md
@@ -10,29 +10,28 @@ authors: Adam Harvey
 
 ------------
 
-# FERET
 
-+ Years: 1993-1996
-+ Images: 14,126
-+ Identities: 1,199 
-+ Origin: Fairfax, MD
+# FacE REcognition Dataset (FERET)
 
+### sidebar
+### end sidebar
 
-<!--header-->
+[ page under development ]
 
-![](assets/feret_index.gif)*FERET, the first large scale facial recognition dataset*
+{% include 'dashboard.html' %}
 
-*Facial Recognition Evaluation* (FERET) is develop, test, and evaluate face recognition algorithms
+--------
 
-The goal of the FERET program was to develop automatic face recognition capabilities that could be employed to assist security, intelligence, and law enforcement personnel in the performance of their duties.
+### (ignore) RESEARCH below this line
 
+- Years: 1993-1996
+- Images: 14,126
+- Identities: 1,199 
+- Origin: Fairfax, MD
+- *Facial Recognition Evaluation* (FERET) is develop, test, and evaluate face recognition algorithms
+- The goal of the FERET program was to develop automatic face recognition capabilities that could be employed to assist security, intelligence, and law enforcement personnel in the performance of their duties.
 - https://www.nist.gov/programs-projects/face-recognition-technology-feret
 
-
---------
-
-RESEARCH below this line
-
 ### "The FERET database and evaluation procedure for face-recognition algorithms"
 
 - Images were captured using Kodak Ultra film
diff --git a/site/content/pages/datasets/helen/assets/background.jpg b/site/content/pages/datasets/helen/assets/background.jpg
deleted file mode 100644
index 63ebb8c9..00000000
--- a/site/content/pages/datasets/helen/assets/background.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/helen/assets/index.jpg b/site/content/pages/datasets/helen/assets/index.jpg
deleted file mode 100644
index 9e62679b..00000000
--- a/site/content/pages/datasets/helen/assets/index.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/hrt_transgender/assets/background.jpg b/site/content/pages/datasets/hrt_transgender/assets/background.jpg
deleted file mode 100644
index 9437c4ff..00000000
--- a/site/content/pages/datasets/hrt_transgender/assets/background.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/hrt_transgender/assets/index.jpg b/site/content/pages/datasets/hrt_transgender/assets/index.jpg
deleted file mode 100644
index 428ac42a..00000000
--- a/site/content/pages/datasets/hrt_transgender/assets/index.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/hrt_transgender/index.md b/site/content/pages/datasets/hrt_transgender/index.md
index 2d7fdcca..137e6dcb 100644
--- a/site/content/pages/datasets/hrt_transgender/index.md
+++ b/site/content/pages/datasets/hrt_transgender/index.md
@@ -1,6 +1,6 @@
 ------------
 
-status: draft
+status: published
 title: HRT Transgender Dataset
 desc: TBD
 subdesc: TBD
@@ -14,20 +14,11 @@ authors: Adam Harvey
 
 ------------
 
-### sidebar
-
-+ Published: TBD
-+ Images: TBD
-
 ## HRT Transgender Dataset
 
+### sidebar
+### end sidebar
 
-{% include 'chart.html' %}
-
-{% include 'piechart.html' %}
-
-{% include 'map.html' %}
-
-{% include 'supplementary_header.html' %}
+[ page under development ]
 
-{% include 'citations.html' %}
+{% include 'dashboard.html' }
\ No newline at end of file
diff --git a/site/content/pages/datasets/index.md b/site/content/pages/datasets/index.md
index c0373d60..289aa2fd 100644
--- a/site/content/pages/datasets/index.md
+++ b/site/content/pages/datasets/index.md
@@ -13,4 +13,4 @@ sync: false
 
 # Facial Recognition Datasets
 
-Explore publicly available facial recognition datasets. More datasets will be added throughout 2019.
+Explore publicly available facial recognition datasets feeding into research and development of biometric surveillance technologies at the largest technology companies and defense contractors in the world.
diff --git a/site/content/pages/datasets/lfpw/assets/lfpw_index.gif b/site/content/pages/datasets/lfpw/assets/lfpw_index.gif
deleted file mode 100644
index 5752b0be..00000000
--- a/site/content/pages/datasets/lfpw/assets/lfpw_index.gif
+++ /dev/null
diff --git a/site/content/pages/datasets/lfpw/index.md b/site/content/pages/datasets/lfpw/index.md
index 80b20647..09506313 100644
--- a/site/content/pages/datasets/lfpw/index.md
+++ b/site/content/pages/datasets/lfpw/index.md
@@ -10,16 +10,13 @@ authors: Adam Harvey
 
 ------------
 
-# Labeled Face Parts in The Wild
 
-+ Year: 2011
-+ Images: 1,432
-+ Origin: Flickr
-+ Funding: CIA
+## Labeled Face Parts in The Wild
 
+### sidebar
+### end sidebar
 
-![](assets/background.jpg)
-
+{% include 'dashboard.html' %}
 
 --------
 
diff --git a/site/content/pages/datasets/lfw/assets/render_pgan.mp4 b/site/content/pages/datasets/lfw/assets/render_pgan.mp4
deleted file mode 100644
index b573e0b1..00000000
--- a/site/content/pages/datasets/lfw/assets/render_pgan.mp4
+++ /dev/null
diff --git a/site/content/pages/datasets/lfw/assets/render_pgan_poster.jpg b/site/content/pages/datasets/lfw/assets/render_pgan_poster.jpg
deleted file mode 100644
index 003de9f9..00000000
--- a/site/content/pages/datasets/lfw/assets/render_pgan_poster.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/lfw/assets/synthetic_01.jpg b/site/content/pages/datasets/lfw/assets/synthetic_01.jpg
deleted file mode 100644
index 93ee8312..00000000
--- a/site/content/pages/datasets/lfw/assets/synthetic_01.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/lfw/assets/synthetic_02.jpg b/site/content/pages/datasets/lfw/assets/synthetic_02.jpg
deleted file mode 100644
index f2ddc681..00000000
--- a/site/content/pages/datasets/lfw/assets/synthetic_02.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/lfw/assets/synthetic_03.jpg b/site/content/pages/datasets/lfw/assets/synthetic_03.jpg
deleted file mode 100644
index 40bb3001..00000000
--- a/site/content/pages/datasets/lfw/assets/synthetic_03.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/lfw/index.md b/site/content/pages/datasets/lfw/index.md
index a8c8e2eb..5d90e87f 100644
--- a/site/content/pages/datasets/lfw/index.md
+++ b/site/content/pages/datasets/lfw/index.md
@@ -1,6 +1,6 @@
 ------------
 
-status: published
+status: draft
 title: Labeled Faces in The Wild
 desc: <span class="dataset-name">Labeled Faces in The Wild (LFW)</span> is the first facial recognition dataset created entirely from online photos
 subdesc: It includes 13,456 images of 4,432 people's images copied from the Internet during 2002-2004 and is the most frequently used dataset in the world for benchmarking face recognition algorithms.
@@ -13,26 +13,12 @@ authors: Adam Harvey
 
 ------------
 
-### sidebar
-
-+ Created: 2002 &ndash; 2004
-+ Images: 13,233
-+ Identities: 5,749
-+ Origin: Yahoo! News Images
-+ Used by: Facebook, Google, Microsoft, Baidu, Tencent, SenseTime, Face++, CIA, NSA, IARPA
-+ Website: <a href="http://vis-www.cs.umass.edu/lfw">umass.edu</a>
-
-- There are about 3 men for every 1 woman in the LFW dataset[^lfw_www]
-- The person with the most images is [George W. Bush](http://vis-www.cs.umass.edu/lfw/person/George_W_Bush_comp.html) with 530
-- There are about 3 George W. Bush's for every 1 [Tony Blair](http://vis-www.cs.umass.edu/lfw/person/Tony_Blair.html)
-- The LFW dataset includes over 500 actors, 30 models, 10 presidents, 124 basketball players, 24 football players, 11 kings, 7 queens, and 1 [Moby](http://vis-www.cs.umass.edu/lfw/person/Moby.html)
-- In all 3 of the LFW publications [^lfw_original_paper], [^lfw_survey], [^lfw_tech_report] the words "ethics", "consent", and "privacy" appear 0 times
-- The word "future" appears 71 times
-- \* denotes partial funding for related research
-
 ## Labeled Faces in the Wild
 
-(PAGE UNDER DEVELOPMENT)
+### sidebar
+### end sidebar
+
+[ PAGE UNDER DEVELOPMENT ]
 
 *Labeled Faces in The Wild* (LFW) is "a database of face photographs designed for studying the problem of unconstrained face recognition[^lfw_www]. It is used to evaluate and improve the performance of facial recognition algorithms in academic, commercial, and government research. According to BiometricUpdate.com[^lfw_pingan], LFW is "the most widely used evaluation set in the field of facial recognition, LFW attracts a few dozen teams from around the globe including Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong." 
 
@@ -48,16 +34,10 @@ The *Names and Faces* dataset was the first face recognition dataset created ent
 
 The *Names and Faces* dataset was the first face recognition dataset created entire from online photos. However, *Names and Faces* and *LFW* are not the first face recognition dataset created entirely "in the wild". That title belongs to the [UCD dataset](/datasets/ucd_faces/). Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer. 
 
-{% include 'map.html' %}
-
-{% include 'chart.html' %}
-
-{% include 'piechart.html' %}
+{% include 'dashboard.html' %}
 
 {% include 'supplementary_header.html' %}
 
-{% include 'citations.html' %}
-
 
 ### Commercial Use
 
@@ -69,15 +49,6 @@ name_display, company_url, example_url, country, description
 ```
 
 
-Research, text, and graphics ©Adam Harvey / megapixels.cc
-
--------
-
-Ignore text below these lines
-
--------
-
-
 ### Research
 
 - "In our experiments, we used 10000 images and associated captions from the Faces in the wilddata set [3]."
@@ -98,6 +69,21 @@ Ignore text below these lines
 - The dataset includes 2 images of [George Tenet](http://vis-www.cs.umass.edu/lfw/person/George_Tenet.html), the former Director of Central Intelligence (DCI) for the Central Intelligence Agency whose facial biometrics were eventually used to help train facial recognition software in China and Russia
 - ./15/155205b8e288fd49bf203135871d66de879c8c04/paper.txt shows usage by DSTO Australia, supported parimal@iisc.ac.in
 
++ Created: 2002 &ndash; 2004
++ Images: 13,233
++ Identities: 5,749
++ Origin: Yahoo! News Images
++ Used by: Facebook, Google, Microsoft, Baidu, Tencent, SenseTime, Face++, CIA, NSA, IARPA
++ Website: <a href="http://vis-www.cs.umass.edu/lfw">umass.edu</a>
+
+- There are about 3 men for every 1 woman in the LFW dataset[^lfw_www]
+- The person with the most images is [George W. Bush](http://vis-www.cs.umass.edu/lfw/person/George_W_Bush_comp.html) with 530
+- There are about 3 George W. Bush's for every 1 [Tony Blair](http://vis-www.cs.umass.edu/lfw/person/Tony_Blair.html)
+- The LFW dataset includes over 500 actors, 30 models, 10 presidents, 124 basketball players, 24 football players, 11 kings, 7 queens, and 1 [Moby](http://vis-www.cs.umass.edu/lfw/person/Moby.html)
+- In all 3 of the LFW publications [^lfw_original_paper], [^lfw_survey], [^lfw_tech_report] the words "ethics", "consent", and "privacy" appear 0 times
+- The word "future" appears 71 times
+- \* denotes partial funding for related research
+
 ### Footnotes
 
 [^lfw_www]: <http://vis-www.cs.umass.edu/lfw/results.html>
diff --git a/site/content/pages/datasets/market_1501/index.md b/site/content/pages/datasets/market_1501/index.md
index 8d253c79..e106a498 100644
--- a/site/content/pages/datasets/market_1501/index.md
+++ b/site/content/pages/datasets/market_1501/index.md
@@ -1,9 +1,9 @@
 ------------
 
-status: published
+status: draft
 title: Market-1501
-desc: <span class="dataset-name">Market-1501</span> is a dataset is collection of CCTV footage from ...
-subdesc: The Market-1501 dataset includes ...
+desc: <span class="dataset-name">Market-1501</span> is a dataset is collection of CCTV footage from Tsinghua University
+subdesc: The Market-1501 dataset includes 1,261 people from 5 HD surveillance cameras located on campus
 slug: market_1501
 cssclass: dataset
 image: assets/background.jpg
@@ -13,28 +13,19 @@ authors: Adam Harvey
 
 ------------
 
-### sidebar
-
-+ Collected: TBD
-+ Published: TBD
-+ Images: TBD
-+ Faces: TBD
-
+## Market-1501 Dataset
 
-## Market-1501 ...
-
-(PAGE UNDER DEVELOPMENT)
-
-{% include 'map.html' %}
+### sidebar
+### end sidebar
 
-{% include 'supplementary_header.html' %}
+[ PAGE UNDER DEVELOPMENT] 
 
-{% include 'citations.html' %}
+{% include 'dashboard.html' %}
 
 
 ----
 
-## Research Notes
+## (ignore) research Notes
 
 - "MARS is an extension of the Market-1501 dataset. During collection, we placed six near synchronized cameras in the campus of Tsinghua university. There were Five 1,080*1920 HD cameras and one 640*480 SD camera. MARS consists of 1,261 different pedestrians whom are captured by at least 2 cameras. Given a query tracklet, MARS aims to retrieve tracklets that contain the same ID." - main paper
 - bbox "0065C1T0002F0016.jpg", "0065" is the ID of the pedestrian. "C1" denotes the first
diff --git a/site/content/pages/datasets/msceleb/index.md b/site/content/pages/datasets/msceleb/index.md
index eb084eaa..d5e52952 100644
--- a/site/content/pages/datasets/msceleb/index.md
+++ b/site/content/pages/datasets/msceleb/index.md
@@ -1,7 +1,7 @@
 ------------
 
 status: published
-title: MS Celeb
+title: Microsoft Celeb
 desc: MS Celeb is a dataset of web images used for training and evaluating face recognition algorithms
 subdesc: The MS Celeb dataset includes over 10,000,000 images and 93,000 identities of semi-public figures collected using the Bing search engine
 slug: msceleb
@@ -14,36 +14,20 @@ authors: Adam Harvey
 
 ------------
 
-### sidebar
-
-+ Published: TBD
-+ Images: TBD
-+ Faces: TBD
-+ Created by: TBD
-
-
 ## Microsoft Celeb Dataset (MS Celeb)
 
-(PAGE UNDER DEVELOPMENT)
-
-At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio. 
-
-Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat
-
-{% include 'chart.html' %}
+### sidebar
+### end sidebar
 
-{% include 'piechart.html' %}
 
-{% include 'map.html' %}
+https://www.hrw.org/news/2019/01/15/letter-microsoft-face-surveillance-technology
 
-Add more analysis here
+https://www.scmp.com/tech/science-research/article/3005733/what-you-need-know-about-sensenets-facial-recognition-firm
 
+{% include 'dashboard.html' %}
 
 {% include 'supplementary_header.html' %}
 
-{% include 'citations.html' %}
-
-
 ### Additional Information
 
 - The dataset author spoke about his research at the CVPR conference in 2016 <https://www.youtube.com/watch?v=Nl2fBKxwusQ>
diff --git a/site/content/pages/datasets/oxford_town_centre/assets/background.jpg b/site/content/pages/datasets/oxford_town_centre/assets/background.jpg
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diff --git a/site/content/pages/datasets/oxford_town_centre/assets/oxford_town_centre_sal_face.jpg b/site/content/pages/datasets/oxford_town_centre/assets/oxford_town_centre_sal_face.jpg
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diff --git a/site/content/pages/datasets/oxford_town_centre/index.md b/site/content/pages/datasets/oxford_town_centre/index.md
new file mode 100644
index 00000000..c32cd022
--- /dev/null
+++ b/site/content/pages/datasets/oxford_town_centre/index.md
@@ -0,0 +1,57 @@
+------------
+
+status: published
+title: Oxford Town Centre
+desc: Oxford Town Centre is a dataset of surveillance camera footage from Cornmarket St Oxford, England
+subdesc: The Oxford Town Centre dataset includes approximately 2,200 identities and is used for research and development of face recognition systems
+slug: oxford_town_centre
+cssclass: dataset
+image: assets/background.jpg
+year: 2015
+published: 2019-2-23
+updated: 2019-2-23
+authors: Adam Harvey
+
+------------
+
+## Oxford Town Centre
+
+### sidebar
+### end sidebar
+
+The Oxford Town Centre dataset is a CCTV video of pedestrians in a busy downtown area in Oxford used for research and development of activity and face recognition systems.[^ben_benfold_orig] The CCTV video was obtained from a public surveillance camera at the corner of Cornmarket and Market St. in Oxford, England and includes approximately 2,200 people. Since its publication in 2009[^guiding_surveillance] the Oxford Town Centre dataset has been used in over 80 verified research projects including commercial research by Amazon, Disney, OSRAM, and Huawei; and academic research in China, Israel, Russia, Singapore, the US, and Germany among dozens more.
+
+The Oxford Town Centre dataset is unique in that it uses footage from a public surveillance camera that would otherwise be designated for public safety. The video shows that the pedestrians act normally and unrehearsed indicating they neither knew of or consented to participation in the research project.
+
+{% include 'dashboard.html' %}
+
+{% include 'supplementary_header.html' %}
+
+### Location
+
+The street location of the camera used for the Oxford Town Centre dataset was confirmed by matching the road, benches, and store signs [source](https://www.google.com/maps/@51.7528162,-1.2581152,3a,50.3y,310.59h,87.23t/data=!3m7!1e1!3m5!1s3FsGN-PqYC-VhQGjWgmBdQ!2e0!5s20120601T000000!7i13312!8i6656). At that location, two public CCTV cameras exist mounted on the side of the Northgate House building at 13-20 Cornmarket St. Because of the lower camera's mounting pole directionality, a view from a private camera in the building across the street can be ruled out because it would have to show more of silhouette of the lower camera's mounting pole. Two options remain: either the public CCTV camera mounted to the side of the building was used or the researchers mounted their own camera to the side of the building in the same location. Because the researchers used many other existing public CCTV cameras for their [research projects](http://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/project.html) it is likely that they would also be able to access to this camera.
+
+To discredit the theory that this public CCTV is only seen pointing the other way in Google Street View images, at least one public photo shows the upper CCTV camera [pointing in the same direction](https://www.oxcivicsoc.org.uk/northgate-house-cornmarket/) as the Oxford Town Centre dataset proving the camera can and has been rotated before.
+
+As for the capture date, the text on the storefront display shows a sale happening from December 2nd &ndash; 7th indicating the capture date was between or just before those dates. The capture year is either 2008 or 2007 since prior to 2007 the Carphone Warehouse ([photo](https://www.flickr.com/photos/katieportwin/364492063/in/photolist-4meWFE-yd7rw-yd7X6-5sDHuc-yd7DN-59CpEK-5GoHAc-yd7Zh-3G2uJP-yd7US-5GomQH-4peYpq-4bAEwm-PALEr-58RkAp-5pHEkf-5v7fGq-4q1J9W-4kypQ2-5KX2Eu-yd7MV-yd7p6-4McgWb-5pJ55w-24N9gj-37u9LK-4FVcKQ-a81Enz-5qNhTG-59CrMZ-2yuwYM-5oagH5-59CdsP-4FVcKN-4PdxhC-5Lhr2j-2PAd2d-5hAwvk-zsQSG-4Cdr4F-3dUPEi-9B1RZ6-2hv5NY-4G5qwP-HCHBW-4JiuC4-4Pdr9Y-584aEV-2GYBEc-HCPkp/), [history](http://www.oxfordhistory.org.uk/cornmarket/west/47_51.html)) did not exist at this location. Since the sweaters in the GAP window display are more similar to those in a [GAP website snapshot](web.archive.org/web/20081201002524/http://www.gap.com/) from November 2007, our guess is that the footage was obtained during late November or early December 2007. The lack of street vendors and slight waste residue near the bench suggests that is was probably a weekday after rubbish removal.
+
+![caption: Footage from this public CCTV camera was used to create the Oxford Town Centre dataset. Image sources: Google Street View (<a href="https://www.google.com/maps/@51.7528162,-1.2581152,3a,50.3y,310.59h,87.23t/data=!3m7!1e1!3m5!1s3FsGN-PqYC-VhQGjWgmBdQ!2e0!5s20120601T000000!7i13312!8i6656">map</a>)](assets/oxford_town_centre_cctv.jpg)
+
+==== columns 
+
+![caption: Heat map body visualization of the pedestrians detected in the Oxford Town Centre dataset &copy; megapixels.cc](assets/oxford_town_centre_sal_body.jpg)
+
+====
+
+![caption: Heat map face visualization of the pedestrians detected in the Oxford Town Centre dataset &copy; megapixels.cc](assets/oxford_town_centre_sal_face.jpg)
+
+=== end columns
+
+
+{% include 'cite_our_work.html' %}
+
+
+### Footnotes
+
+[^ben_benfold_orig]: Benfold, Ben and Reid, Ian. "Stable Multi-Target Tracking in Real-Time Surveillance Video". CVPR 2011. Pages 3457-3464.
+[^guiding_surveillance]: "Guiding Visual Surveillance by Tracking Human Attention". 2009.
diff --git a/site/content/pages/datasets/pipa/index.md b/site/content/pages/datasets/pipa/index.md
index d4a7ec43..250878ff 100644
--- a/site/content/pages/datasets/pipa/index.md
+++ b/site/content/pages/datasets/pipa/index.md
@@ -1,9 +1,9 @@
 ------------
 
-status: published
+status: draft
 title: People in Photo Albums
-desc: <span class="dataset-name"> is a dataset...
-subdesc: PIPA subdescription
+desc: <span class="dataset-name"> People in Photo Albums (PIPA)</span> is a dataset...
+subdesc: [ add subdescrition ]
 slug: pipa
 cssclass: dataset
 image: assets/background.jpg
@@ -13,25 +13,11 @@ authors: Adam Harvey
 
 ------------
 
-### sidebar
-
-+ Collected: TBD
-+ Published: TBD
-+ Images: TBD
-+ Faces: TBD
-
-
-## Dataset Title TBD
-
-(PAGE UNDER DEVELOPMENT)
-
-{% include 'map.html' %}
-
-{% include 'supplementary_header.html' %}
-
-{% include 'citations.html' %}
+## People in Photo Albums
 
+### sidebar
+### end sidebar
 
-----
+[ PAGE UNDER DEVELOPMENT ]
 
-## Research Notes
+{% include 'dashboard.html' %}
diff --git a/site/content/pages/datasets/pubfig/index.md b/site/content/pages/datasets/pubfig/index.md
new file mode 100644
index 00000000..5f2e1ad5
--- /dev/null
+++ b/site/content/pages/datasets/pubfig/index.md
@@ -0,0 +1,23 @@
+------------
+
+status: draft
+title: PubFig
+desc: <span class="dataset-name">PubFig</span> is a dataset...
+subdesc: [ add subdescrition ]
+slug: pubfig
+cssclass: dataset
+image: assets/background.jpg
+published: 2019-2-23
+updated: 2019-2-23
+authors: Adam Harvey
+
+------------
+
+## PubFig
+
+### sidebar
+### end sidebar
+
+[ PAGE UNDER DEVELOPMENT ]
+
+{% include 'dashboard.html' %}
diff --git a/site/content/pages/datasets/uccs/assets/background.jpg b/site/content/pages/datasets/uccs/assets/background.jpg
index ec6c5196..bc371f1c 100755..100644
--- a/site/content/pages/datasets/uccs/assets/background.jpg
+++ b/site/content/pages/datasets/uccs/assets/background.jpg
diff --git a/site/content/pages/datasets/uccs/assets/index.jpg b/site/content/pages/datasets/uccs/assets/index.jpg
index 4e11943f..69ecaf10 100755..100644
--- a/site/content/pages/datasets/uccs/assets/index.jpg
+++ b/site/content/pages/datasets/uccs/assets/index.jpg
diff --git a/site/content/pages/datasets/uccs/assets/uccs_camera_exif.csv b/site/content/pages/datasets/uccs/assets/uccs_camera_exif.csv
new file mode 100644
index 00000000..2ddbc958
--- /dev/null
+++ b/site/content/pages/datasets/uccs/assets/uccs_camera_exif.csv
@@ -0,0 +1,10918 @@
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+1.0,2013-02-26,2013-02-26 12:16:27,1,1,47a9a3a85beadd3259af43f30a1f1d86.jpg,5.6,800,160,12:16:27
+1.0,2012-03-20,2012-03-20 11:04:00,0,3,e0401859d8135f995adb9dab9c23c5a5.jpg,5.6,800,400,11:04:00
+1.0,2013-02-20,2013-02-20 12:05:18,1,1,66a2821445bf3e89668102ee6e491fb3.jpg,5.6,800,200,12:05:18
+1.0,2012-03-22,2012-03-22 11:05:00,0,3,dd38c1df5666a88fe0ab2b7ab4616911.jpg,5.6,800,400,11:05:00
+1.0,2012-03-20,2012-03-20 13:55:45,0,3,7ff5213294ce2671331af58361352877.jpg,5.6,800,400,13:55:45
+1.0,2012-04-03,2012-04-03 12:35:47,0,3,8e234d6fb3774fc50b52721f5be2e2be.jpg,5.6,800,400,12:35:47
+1.0,2012-03-20,2012-03-20 15:24:15,0,3,c14c54fd6bc5c01d0cd016447f0df13c.jpg,5.6,800,400,15:24:15
+1.0,2012-03-20,2012-03-20 11:08:44,0,3,ee8da5c5b7d2be34f3c72930a4e3cdbf.jpg,5.6,800,400,11:08:44
+1.0,2013-02-19,2013-02-19 16:26:38,1,1,55777360f4315da402a7c6779d3ae319.jpg,5.6,800,320,16:26:38
+1.0,2012-03-20,2012-03-20 09:47:33,0,3,c774b9401c94223398fcd2a827901b7f.jpg,5.6,800,400,09:47:33
+1.0,2012-04-03,2012-04-03 11:11:31,0,3,572fb9c0d830f91157e78806162f03b9.jpg,5.6,800,400,11:11:31
+1.0,2013-02-19,2013-02-19 16:31:42,1,1,bc4aad82eaaf59fcef0046e027e1b9f5.jpg,5.6,800,400,16:31:42
+1.0,2012-04-03,2012-04-03 11:04:01,0,3,68e4e15c39a4dbe60dd4894b40be0a82.jpg,5.6,800,400,11:04:01
+1.0,2013-01-28,2013-01-28 12:34:21,1,1,6166df0d3946137ab56bd916e5b1792f.jpg,5.6,800,100,12:34:21
+1.0,2012-04-03,2012-04-03 09:44:00,0,3,db2189028c75eee17163030aa333c2f3.jpg,5.6,800,400,09:44:00
+1.0,2012-04-03,2012-04-03 11:05:45,0,3,e60179f354c102d6a2ba6053185a5a2d.jpg,5.6,800,400,11:05:45
+1.0,2012-03-08,2012-03-08 12:10:07,0,3,79d30d589ba7ebf5ae2fd3e8b29a9e36.jpg,5.6,800,400,12:10:07
+1.0,2013-02-19,2013-02-19 16:22:52,1,1,a3ca43a37b4f1d391e1190f0dcd0d8a0.jpg,5.6,800,320,16:22:52
+1.0,2013-02-26,2013-02-26 12:40:43,1,1,e7dfe1e73e15ee5fd4dbe7a031ebc81c.jpg,5.6,800,200,12:40:43
+1.0,2013-02-20,2013-02-20 12:07:54,1,1,d65889aaddd800d43446d9455dc4350c.jpg,5.6,800,200,12:07:54
+1.0,2012-03-20,2012-03-20 15:23:12,0,3,d7a4c931c4972515eab384144baf6065.jpg,5.6,800,400,15:23:12
+1.0,2013-01-29,2013-01-29 16:32:33,1,1,4e86ef3dac255d947cc14796230cdcea.jpg,5.6,800,400,16:32:33
+1.0,2012-03-20,2012-03-20 12:33:38,0,3,bd9d6e272a53671f8b051cc9c6369a56.jpg,5.6,800,400,12:33:38
+1.0,2012-03-13,2012-03-13 11:09:09,0,3,fcfb43c34ebcc6d56904a11ee7e364fe.jpg,5.6,800,400,11:09:09
+1.0,2012-04-03,2012-04-03 12:34:00,0,3,0f51466cf15538943ee270cfaf22d0aa.jpg,5.6,800,400,12:34:00
+1.0,2013-02-19,2013-02-19 16:31:46,1,1,ea0dd51dc75755e8191121f5eb43bb12.jpg,5.6,800,320,16:31:46
+1.0,2012-04-03,2012-04-03 11:07:53,0,3,581474bc758adfd10a4461c9bfd471e3.jpg,5.6,800,400,11:07:53
+1.0,2013-02-20,2013-02-20 12:14:00,1,1,21ed6728395a715f17040b1532cc501f.jpg,5.6,800,125,12:14:00
+1.0,2012-04-03,2012-04-03 11:07:27,0,3,930e96fbc08d9158da82bc74cbc062e1.jpg,5.6,800,400,11:07:27
+1.0,2012-04-03,2012-04-03 12:33:02,0,3,ea60f9d864b2664f0f0fc4e4434ab5f8.jpg,5.6,800,400,12:33:02
+1.0,2013-02-20,2013-02-20 12:25:23,1,1,5bf7aaf6a80c8d1b66d6ce835bc4e0bd.jpg,5.6,800,100,12:25:23
+1.0,2012-03-08,2012-03-08 14:53:47,0,3,a9f88e602465c0bc5541e52e9a12ab60.jpg,5.6,800,400,14:53:47
+1.0,2013-01-28,2013-01-28 12:38:54,1,1,d5f39880afd6d33a9999a3b11105b906.jpg,5.6,800,100,12:38:54
+1.0,2013-02-13,2013-02-13 13:25:37,1,1,312c93652c8209ebd1b60721818192c7.jpg,5.6,800,100,13:25:37
+1.0,2012-03-22,2012-03-22 11:10:16,0,3,8e25b643a54927ecb1d09c6e19d9aea7.jpg,5.6,800,400,11:10:16
+1.0,2013-02-13,2013-02-13 12:13:29,1,1,7cb2a707a7837faadd80771d6059e32f.jpg,5.6,800,100,12:13:29
+1.0,2012-03-20,2012-03-20 09:43:46,0,3,4b10da763fab6c3dffbca8ad1b782b51.jpg,5.6,800,400,09:43:46
+1.0,2013-02-20,2013-02-20 12:10:59,1,1,1187b7b9a1acbc8ae3f2dca30b7de56f.jpg,5.6,800,160,12:10:59
+1.0,2013-02-20,2013-02-20 12:26:22,1,1,fd400ffbccf087406a4b3a52ce325db6.jpg,5.6,800,100,12:26:22
+1.0,2012-04-03,2012-04-03 11:12:06,0,3,5adcffd391f8926641e1a4a3b62ff5df.jpg,5.6,800,400,11:12:06
+1.0,2013-02-26,2013-02-26 12:32:16,1,1,c070b71c87edef0049f37c233b24496d.jpg,5.6,800,200,12:32:16
+1.0,2013-01-29,2013-01-29 12:27:45,1,1,fda78cc4aefe4196ee5c98259455e619.jpg,5.6,800,100,12:27:45
+1.0,2012-03-08,2012-03-08 10:43:48,0,3,7889ab4381cd5c293f72fb9556639e72.jpg,5.6,800,400,10:43:48
+1.0,2013-02-20,2013-02-20 12:44:21,1,1,3a6f82af2f132271805e557d62255b31.jpg,5.6,800,100,12:44:21
+1.0,2012-04-03,2012-04-03 11:09:27,0,3,2d4b2a0db2ad171fdda16ef92a3349da.jpg,5.6,800,400,11:09:27
+1.0,2013-02-20,2013-02-20 12:10:49,1,1,00510fe03491d1217863950dbdd3dbc8.jpg,5.6,800,160,12:10:49
+1.0,2012-03-20,2012-03-20 15:24:16,0,3,2c787f507e0c7be9c741c6d82bf42fa7.jpg,5.6,800,400,15:24:16
+1.0,2013-02-20,2013-02-20 12:20:32,1,1,3aa2f40c04d5f89e1c2aa26be2154196.jpg,5.6,800,100,12:20:32
+1.0,2013-01-29,2013-01-29 16:33:49,1,1,39d6040b85dd633a83beda5c5c97ecb1.jpg,5.6,800,800,16:33:49
+1.0,2013-02-20,2013-02-20 12:45:35,1,1,56ba05de093b400e715ef5cc05446e41.jpg,5.6,800,100,12:45:35
+1.0,2012-03-06,2012-03-06 13:27:45,0,3,2662b05a1a7ddc3049ab82802d591dd0.jpg,5.6,800,400,13:27:45
+1.0,2012-03-20,2012-03-20 15:23:01,0,3,b7d332c034c276eacb9fca77c9739cd6.jpg,5.6,800,400,15:23:01
+1.0,2013-01-28,2013-01-28 12:42:12,1,1,5dcc8a112dc493418e6b6b4cedf9eab0.jpg,5.6,800,100,12:42:12
+1.0,2013-02-19,2013-02-19 16:22:21,1,1,e894620f8674cbd4f49f5d0ee3894c65.jpg,5.6,800,400,16:22:21
+1.0,2012-03-20,2012-03-20 11:05:41,0,3,999849f0c96a7780dea343fcd58ef40e.jpg,5.6,800,400,11:05:41
+1.0,2013-01-28,2013-01-28 12:42:27,1,1,bff5af80129a65875fe9def80a0bb0f3.jpg,5.6,800,100,12:42:27
+1.0,2013-02-13,2013-02-13 13:18:01,1,1,7642a3c8b43397da9005f82984e4c8dd.jpg,5.6,800,100,13:18:01
+1.0,2012-03-06,2012-03-06 13:27:40,0,3,fd9f54d44e2c3ca2497f7462f830ac4c.jpg,5.6,800,400,13:27:40
+1.0,2012-03-08,2012-03-08 12:12:28,0,3,73dde78efb3fe058b74423b9398fef6f.jpg,5.6,800,400,12:12:28
+1.0,2012-03-20,2012-03-20 15:22:54,0,3,3b7490d881f161f145c43551d456dfce.jpg,5.6,800,400,15:22:54
+1.0,2013-01-28,2013-01-28 12:41:56,1,1,197d8388e9c26c8c22411084fd1f6b72.jpg,5.6,800,100,12:41:56
+1.0,2012-03-22,2012-03-22 11:09:45,0,3,2baee008056b78474c7320a82516bf24.jpg,5.6,800,400,11:09:45
+1.0,2013-01-28,2013-01-28 12:36:11,1,1,de2c01059da0b4cc3331f67ed369d991.jpg,5.6,800,100,12:36:11
+1.0,2013-02-13,2013-02-13 12:16:53,1,1,7eeb053241c704f852864bc33b251d40.jpg,5.6,800,100,12:16:53
+1.0,2013-01-29,2013-01-29 16:24:55,1,1,404ed749efdd1dc8160723e8425da1b2.jpg,5.6,800,400,16:24:55
+1.0,2013-02-20,2013-02-20 12:34:04,1,1,ef0cbaaf000093cdb52a9c7f1791ee2d.jpg,5.6,800,100,12:34:04
+1.0,2013-01-29,2013-01-29 16:23:58,1,1,10bf4be6df392c698cdba9f8de75ba6e.jpg,5.6,800,640,16:23:58
+1.0,2013-02-19,2013-02-19 16:27:17,1,1,396792747ce179fb587d5f367b0084e2.jpg,5.6,800,320,16:27:17
+1.0,2012-04-03,2012-04-03 11:11:19,0,3,b5ca27fe640ff993a2e48d0b30ba88bd.jpg,5.6,800,400,11:11:19
+1.0,2012-03-20,2012-03-20 12:30:01,0,3,d97f88aa9f7bc86684b74a3ad41dd9ec.jpg,5.6,800,400,12:30:01
+1.0,2012-04-03,2012-04-03 09:44:01,0,3,3e270d88c3c9feec5d480fbaa0ff0f73.jpg,5.6,800,400,09:44:01
+1.0,2013-02-13,2013-02-13 12:32:23,1,1,9a53ca61c6f631385cd578c66b48a6d5.jpg,5.6,800,100,12:32:23
+1.0,2012-04-03,2012-04-03 11:08:47,0,3,8db1863dba60563a4d06abbf7262b1e6.jpg,5.6,800,400,11:08:47
+1.0,2013-01-29,2013-01-29 12:17:51,1,1,3ef814d98549a41c1d661c238f0e0bf5.jpg,5.6,800,100,12:17:51
+1.0,2012-03-08,2012-03-08 10:43:39,0,3,32b33e0cb2e30f7f1df7e32844f3469b.jpg,5.6,800,400,10:43:39
+1.0,2013-01-29,2013-01-29 12:10:25,1,1,ca7dd62258c6e3e85a93cf778fb45466.jpg,5.6,800,100,12:10:25
+1.0,2012-03-08,2012-03-08 15:01:00,0,3,9e51a6417a47ec432e1ba6b009ba255a.jpg,5.6,800,400,15:01:00
+1.0,2012-03-20,2012-03-20 13:58:39,0,3,2b00a4d81944ddca59dfa9f616956afb.jpg,5.6,800,400,13:58:39
+1.0,2012-04-03,2012-04-03 11:11:45,0,3,6883da0ed33ed74c19d2e94033f5bbd0.jpg,5.6,800,400,11:11:45
+1.0,2013-01-29,2013-01-29 12:07:45,1,1,97f2250ad7758f7d09f65bea83ef8a4b.jpg,5.6,800,100,12:07:45
+1.0,2013-02-26,2013-02-26 12:30:01,1,1,0b7dc5668dded0f698b67c6dd331da6e.jpg,5.6,800,200,12:30:01
+1.0,2013-02-13,2013-02-13 11:59:41,1,1,4703dc654d41a4fbc0641aa9dd2be977.jpg,5.6,800,100,11:59:41
+1.0,2013-02-20,2013-02-20 12:03:03,1,1,06602ef0c68b1ba8b81da9fb4c441031.jpg,5.6,800,160,12:03:03
+1.0,2013-02-26,2013-02-26 12:13:11,1,1,054a147822bcfce81c78dbfeccf3def0.jpg,5.6,800,160,12:13:11
+1.0,2013-02-13,2013-02-13 12:55:21,1,1,aa015ccad296de63bf5812bc358c4684.jpg,5.6,800,100,12:55:21
+1.0,2013-02-20,2013-02-20 12:24:32,1,1,c04f15d439ceca23d1341130d0b4b186.jpg,5.6,800,100,12:24:32
+1.0,2012-03-06,2012-03-06 13:31:40,0,3,2e9c17fcac8b7acbef36dccd1056e04f.jpg,5.6,800,400,13:31:40
+1.0,2012-03-20,2012-03-20 11:05:55,0,3,70940da99d98a9df2e42ca47e2f25f4b.jpg,5.6,800,400,11:05:55
+1.0,2013-01-28,2013-01-28 12:37:54,1,1,5b613716c76e4d97fa7a316efd9b879a.jpg,5.6,800,100,12:37:54
+1.0,2012-04-03,2012-04-03 11:05:30,0,3,0bc0a31b72e54aa088e5b676b7e0ced0.jpg,5.6,800,400,11:05:30
+1.0,2013-02-26,2013-02-26 12:12:51,1,1,d5c08a519ac392136b6b64607dbb6bdc.jpg,5.6,800,160,12:12:51
+1.0,2012-04-03,2012-04-03 11:10:02,0,3,0e455dac98b2983d35e42c8ee22d8fd9.jpg,5.6,800,400,11:10:02
+1.0,2013-02-13,2013-02-13 13:29:10,1,1,e18b99efdf28ad8b972614d59956d07b.jpg,5.6,800,100,13:29:10
+1.0,2012-04-03,2012-04-03 11:08:00,0,3,682a529858999e4c7f8b9ed0dac17675.jpg,5.6,800,400,11:08:00
+1.0,2013-02-20,2013-02-20 12:32:23,1,1,4befcf54531f022203c8fee9ab80cf8a.jpg,5.6,800,100,12:32:23
+1.0,2013-02-13,2013-02-13 12:33:22,1,1,ccd184670bb273b78429076a56736514.jpg,5.6,800,100,12:33:22
+1.0,2013-02-13,2013-02-13 13:17:20,1,1,6c40296697817d22f175c83933a35238.jpg,5.6,800,100,13:17:20
+1.0,2013-01-29,2013-01-29 12:19:26,1,1,ff520c3ba3a56cccab2ec134c774942d.jpg,5.6,800,100,12:19:26
+1.0,2012-04-03,2012-04-03 11:06:46,0,3,160bb09f878500523871fbe5675204f0.jpg,5.6,800,400,11:06:46
+1.0,2012-03-20,2012-03-20 15:24:56,0,3,d609703c991b3f824b4bfbdc6f5983b7.jpg,5.6,800,400,15:24:56
+1.0,2012-03-20,2012-03-20 15:22:29,0,3,1856368ef202b35cd18de7fbb67b3af6.jpg,5.6,800,400,15:22:29
+1.0,2012-03-20,2012-03-20 11:08:20,0,3,447a7750ea0241aeb309012dd9260bfb.jpg,5.6,800,400,11:08:20
+1.0,2013-01-29,2013-01-29 12:25:39,1,1,eece6ca91e7350f64f28bdb952464981.jpg,5.6,800,100,12:25:39
+1.0,2012-03-20,2012-03-20 15:24:19,0,3,fdc38f65d3fe7f18cbb0ce93cb00fce2.jpg,5.6,800,400,15:24:19
+1.0,2012-04-03,2012-04-03 12:37:41,0,3,283aa21c6ce244125e90f30a3626ef9d.jpg,5.6,800,400,12:37:41
+1.0,2012-03-22,2012-03-22 11:11:21,0,3,a30dcb382fcc61d49985dc5c82b0d482.jpg,5.6,800,400,11:11:21
+1.0,2013-02-26,2013-02-26 12:17:25,1,1,f8cfd7683802384ab85b0838dacad3a4.jpg,5.6,800,200,12:17:25
+1.0,2012-03-20,2012-03-20 09:43:37,0,3,bdb725b65e92b6c8c68d366c91455cf7.jpg,5.6,800,400,09:43:37
+1.0,2013-02-20,2013-02-20 12:10:09,1,1,36015271ecebb76a08aafd3c6b44a26c.jpg,5.6,800,160,12:10:09
+1.0,2013-01-28,2013-01-28 12:42:26,1,1,25fc2b5e63fa3bab93ca35f2282ebf69.jpg,5.6,800,100,12:42:26
+1.0,2013-02-20,2013-02-20 12:24:02,1,1,90dec723922cfb0c442a0db2c7fc0c54.jpg,5.6,800,100,12:24:02
+1.0,2012-04-03,2012-04-03 09:36:58,0,3,382eb7bebefe9119b29ff2f86e2975c8.jpg,5.6,800,400,09:36:58
+1.0,2013-02-13,2013-02-13 12:02:21,1,1,3f68b27573cf8790d61c4ea9c71aae3b.jpg,5.6,800,100,12:02:21
+1.0,2013-01-28,2013-01-28 12:38:11,1,1,d68e66b54365dc025a1f2feb46b09d61.jpg,5.6,800,100,12:38:11
+1.0,2013-02-13,2013-02-13 13:12:57,1,1,af53bc308dd1e91a4a99ed6b33bd24b7.jpg,5.6,800,100,13:12:57
+1.0,2012-03-20,2012-03-20 12:34:50,0,3,d7519cbfdb7126d7a40a8b5f8de4fbb2.jpg,5.6,800,400,12:34:50
+1.0,2013-02-26,2013-02-26 12:08:14,1,1,b90d9759c53ff71bac41b9b8862af96e.jpg,5.6,800,200,12:08:14
+1.0,2012-04-03,2012-04-03 12:30:44,0,3,631cbd75e93a632f53cd286394e00010.jpg,5.6,800,400,12:30:44
+1.0,2012-03-08,2012-03-08 12:12:25,0,3,bfb09994e17a9761a61d149c489776fb.jpg,5.6,800,400,12:12:25
+1.0,2013-02-20,2013-02-20 12:13:14,1,1,257e8966d22d7bf9902b415f4c93ae18.jpg,5.6,800,160,12:13:14
+1.0,2012-04-03,2012-04-03 11:05:52,0,3,c415f41caa8ac68dfc675650c3eb9d3b.jpg,5.6,800,400,11:05:52
+1.0,2013-01-29,2013-01-29 16:25:01,1,1,a8ceaf38ca783ddf65684c24cc7cb760.jpg,5.6,800,250,16:25:01
+1.0,2012-04-03,2012-04-03 09:37:30,0,3,67839bfb9dd82c0ad7da05378ad5acbc.jpg,5.6,800,400,09:37:30
+1.0,2013-02-13,2013-02-13 13:13:14,1,1,69244e74e6c881710edc56f1a0924661.jpg,5.6,800,100,13:13:14
+1.0,2012-03-08,2012-03-08 14:54:01,0,3,cd98af929e8546cee9b81c493fd97eed.jpg,5.6,800,400,14:54:01
+1.0,2013-02-19,2013-02-19 16:16:04,1,1,5b748e171049394e8f8f7fdb50a6db5c.jpg,5.6,800,400,16:16:04
+1.0,2012-04-03,2012-04-03 09:45:00,0,3,042fc2f7255312ef9dd20732b35f9d12.jpg,5.6,800,400,09:45:00
+1.0,2013-01-29,2013-01-29 16:22:50,1,1,ab6926dfc2597963ff6f6adf4f3559ee.jpg,5.6,800,320,16:22:50
+1.0,2013-01-28,2013-01-28 12:33:03,1,1,8ea8349e4443b66e75e3535869eb8419.jpg,5.6,800,100,12:33:03
+1.0,2013-02-20,2013-02-20 12:26:31,1,1,1b67504925d004df5790ab5c61c85858.jpg,5.6,800,100,12:26:31
+1.0,2012-03-06,2012-03-06 13:28:58,0,3,cba004db0c8137fcc683fc2962f6a196.jpg,5.6,800,400,13:28:58
+1.0,2012-03-20,2012-03-20 12:31:26,0,3,8912fc180f5c3515f9c7406b837dd9a6.jpg,5.6,800,400,12:31:26
+1.0,2013-01-29,2013-01-29 12:34:03,1,1,ea0d8d6ee0ef7d54d77468110fe895b6.jpg,5.6,800,100,12:34:03
+1.0,2013-02-26,2013-02-26 12:26:04,1,1,e72f8c3e99f79d715e5df44a8e3c11d4.jpg,5.6,800,200,12:26:04
+1.0,2013-02-26,2013-02-26 12:23:36,1,1,609fd4fae3380dbe9e679e886d765678.jpg,5.6,800,200,12:23:36
+1.0,2012-03-22,2012-03-22 11:07:46,0,3,6bb7100956dfc46f2b6e7223bfe0c781.jpg,5.6,800,400,11:07:46
+1.0,2013-02-13,2013-02-13 13:21:56,1,1,621757eab3653d6fc8c70a351265dca9.jpg,5.6,800,100,13:21:56
+1.0,2013-02-20,2013-02-20 12:13:54,1,1,0a96dcf6ee3eabb0b0fe46ea81a58881.jpg,5.6,800,125,12:13:54
+1.0,2013-02-20,2013-02-20 12:39:35,1,1,0100311fa2e5fbb2ca2fd0a9a45c6835.jpg,5.6,800,100,12:39:35
+1.0,2012-03-22,2012-03-22 11:09:54,0,3,6784d6513fd3ba8f1bc0c9466c779988.jpg,5.6,800,400,11:09:54
+1.0,2013-01-29,2013-01-29 12:15:47,1,1,74c3901e0736a2349d623ac64f2dc3af.jpg,5.6,800,100,12:15:47
+1.0,2013-02-20,2013-02-20 12:29:24,1,1,a62412ce84483816b0b0de368334119d.jpg,5.6,800,100,12:29:24
+1.0,2013-01-29,2013-01-29 12:19:05,1,1,bf30b519355506c40d8c14f43c63d41b.jpg,5.6,800,100,12:19:05
+1.0,2013-01-29,2013-01-29 12:10:21,1,1,2b0751319b24efd07b221460fde74405.jpg,5.6,800,100,12:10:21
+1.0,2012-03-20,2012-03-20 12:33:35,0,3,bedc4f44c26d48b13d218a6ad986473a.jpg,5.6,800,400,12:33:35
+1.0,2012-03-20,2012-03-20 12:33:40,0,3,dfc8c55bdcaa1f44b6183d8865b9f183.jpg,5.6,800,400,12:33:40
+1.0,2013-01-28,2013-01-28 12:42:34,1,1,7b135019546409406f97d630449ba39f.jpg,5.6,800,100,12:42:34
+1.0,2012-03-20,2012-03-20 12:35:54,0,3,07a90741a627c7ad3c494427d3b4f034.jpg,5.6,800,400,12:35:54
+1.0,2013-01-29,2013-01-29 16:27:20,1,1,ebe202b1e7f7baccd0b822769957b851.jpg,5.6,800,400,16:27:20
+1.0,2012-03-20,2012-03-20 13:57:33,0,3,394d60289b66cc3e1b48fe6800ddf4a4.jpg,5.6,800,400,13:57:33
+1.0,2013-02-26,2013-02-26 12:16:33,1,1,a78d4dc3c18dfc43d615b3c47264a8c1.jpg,5.6,800,160,12:16:33
+1.0,2013-02-19,2013-02-19 16:16:11,1,1,a8207031e46b957dd886cfcd501b7f30.jpg,5.6,800,320,16:16:11
+1.0,2013-02-20,2013-02-20 12:11:08,1,1,b6f19e7ef62dce3aee7a3703d6ab2d75.jpg,5.6,800,160,12:11:08
+1.0,2012-04-03,2012-04-03 11:12:41,0,3,41cd09ec9dbba8463e13d3cdc80a0422.jpg,5.6,800,400,11:12:41
+1.0,2013-01-28,2013-01-28 12:42:34,1,1,c28035d4f35f9388cbcca0f40c730afa.jpg,5.6,800,100,12:42:34
+1.0,2012-03-20,2012-03-20 09:44:55,0,3,cf4e370617721c4c8302c040c4a19e35.jpg,5.6,800,400,09:44:55
+1.0,2013-01-29,2013-01-29 16:26:50,1,1,6a8dced2ca02ff43849f48674b903477.jpg,5.6,800,250,16:26:50
+1.0,2012-03-20,2012-03-20 11:05:44,0,3,799e6dcfcd39dc967cffe690a56fce29.jpg,5.6,800,400,11:05:44
+1.0,2013-02-19,2013-02-19 16:26:18,1,1,ce318b324f3225fcee7806acb01a46df.jpg,5.6,800,320,16:26:18
+1.0,2013-02-26,2013-02-26 12:09:16,1,1,3e5fe24c3f9e5292e7b8fe87c5e3fbd8.jpg,5.6,800,200,12:09:16
+1.0,2012-02-23,2012-02-23 14:56:14,0,3,4d191d5ae52777d31187176e17b6a4a7.jpg,5.6,800,400,14:56:14
+1.0,2013-02-26,2013-02-26 12:07:41,1,1,ad21908ed507b422eb3d659845a6b2bf.jpg,5.6,800,200,12:07:41
+1.0,2013-01-29,2013-01-29 16:21:36,1,1,048d71f0758755f4bcfad3a10c94105f.jpg,5.6,800,250,16:21:36
+1.0,2012-04-03,2012-04-03 09:44:20,0,3,48386d8a5ef54d9df39bdd0359f57272.jpg,5.6,800,400,09:44:20
+1.0,2013-02-19,2013-02-19 16:22:45,1,1,2aa11822c311be5e8be6b189f63a0e9a.jpg,5.6,800,320,16:22:45
+1.0,2013-02-26,2013-02-26 12:19:30,1,1,3cb1c8baddbb0a0e965e67ca5c9c12d5.jpg,5.6,800,160,12:19:30
+1.0,2012-03-06,2012-03-06 13:32:44,0,3,922b7a1272b6b0dcff4e123675801a61.jpg,5.6,800,400,13:32:44
+1.0,2013-02-13,2013-02-13 13:22:40,1,1,27684b01e4178c12c4f8f70034a5793b.jpg,5.6,800,100,13:22:40
+1.0,2013-01-29,2013-01-29 12:10:19,1,1,0a63578048366ff23ed2579233dc75e4.jpg,5.6,800,100,12:10:19
+1.0,2012-03-20,2012-03-20 12:28:43,0,3,80840fd539e4526535e0506d48740055.jpg,5.6,800,400,12:28:43
+1.0,2013-01-29,2013-01-29 12:07:33,1,1,b7a554b039c6d2ed736307fb40a70a4b.jpg,5.6,800,100,12:07:33
+1.0,2012-03-20,2012-03-20 09:46:27,0,3,0e48c60e19fccded77c01fe7669b7942.jpg,5.6,800,400,09:46:27
+1.0,2013-01-28,2013-01-28 12:40:43,1,1,c7f072f00e625f23ce7dceca003ba693.jpg,5.6,800,100,12:40:43
+1.0,2012-04-03,2012-04-03 11:11:04,0,3,8b72627b0a73c84d0ef733e33633c130.jpg,5.6,800,400,11:11:04
+1.0,2012-03-20,2012-03-20 11:04:25,0,3,5db0b857ba3b2ef9fc723d22e3de2392.jpg,5.6,800,400,11:04:25
+1.0,2012-03-08,2012-03-08 12:09:32,0,3,2ea2d0ee42c0fc79f23ec43591511b80.jpg,5.6,800,400,12:09:32
+1.0,2012-03-06,2012-03-06 13:29:24,0,3,4c3f1b94627cbd47e47ca1a62e8cd3be.jpg,5.6,800,400,13:29:24
+1.0,2013-01-29,2013-01-29 16:26:08,1,1,387858a432e9f5d90e0c46f93c8a3a3e.jpg,5.6,800,320,16:26:08
+1.0,2012-04-03,2012-04-03 11:07:07,0,3,4a4cdf0c61f88404e2904daa399fbe87.jpg,5.6,800,400,11:07:07
+1.0,2012-04-03,2012-04-03 11:10:01,0,3,e88ee23b67bae1be9646434c2b95875c.jpg,5.6,800,400,11:10:01
+1.0,2013-01-28,2013-01-28 12:38:39,1,1,e09cdeda058806a2cfaae0955049c36c.jpg,5.6,800,100,12:38:39
+1.0,2012-03-20,2012-03-20 15:24:05,0,3,5125e2ff5270d4b597d8a4b219c1c229.jpg,5.6,800,400,15:24:05
+1.0,2013-02-20,2013-02-20 12:10:57,1,1,5446a22fbf63f37dfb7185cea2c3b51e.jpg,5.6,800,160,12:10:57
+1.0,2013-01-29,2013-01-29 16:34:20,1,1,ff3eb249bd19691580f9a9c2421e2c39.jpg,5.6,800,400,16:34:20
+1.0,2012-03-20,2012-03-20 12:30:02,0,3,463c9e7ff49a33321b64d6ed929c48ea.jpg,5.6,800,400,12:30:02
+1.0,2013-01-29,2013-01-29 12:08:07,1,1,d4692fa9e5571912b4c10b407a498f1d.jpg,5.6,800,100,12:08:07
+1.0,2012-03-06,2012-03-06 13:28:04,0,3,309a42e491e3784a162c2546142320b3.jpg,5.6,800,400,13:28:04
+1.0,2013-01-29,2013-01-29 16:33:27,1,1,721a7a056c37022a2d4b49f71398c14e.jpg,5.6,800,400,16:33:27
+1.0,2013-02-19,2013-02-19 16:20:55,1,1,1a0767d8acc7bca22a00aed09edf85b8.jpg,5.6,800,320,16:20:55
+1.0,2013-01-29,2013-01-29 12:16:19,1,1,03c156ac6318730b7d82335a6f395f1e.jpg,5.6,800,100,12:16:19
+1.0,2013-02-13,2013-02-13 12:19:16,1,1,72d2b149cce709e305d760cc81a7e6b7.jpg,5.6,800,100,12:19:16
+1.0,2013-02-19,2013-02-19 16:34:05,1,1,39ab63629393dbb65dbf8ee03eb5d1a9.jpg,5.6,800,400,16:34:05
+1.0,2013-02-26,2013-02-26 12:17:39,1,1,39a5708cc6bb12d7e3e7324d3b9c4802.jpg,5.6,800,200,12:17:39
+1.0,2013-02-13,2013-02-13 13:26:39,1,1,6fee94ff0c69964d25e3e629347e2d9c.jpg,5.6,800,100,13:26:39
+1.0,2013-01-29,2013-01-29 12:15:07,1,1,39b80143f4413d1fdd585df4ee57e37d.jpg,5.6,800,100,12:15:07
+1.0,2013-02-19,2013-02-19 16:26:30,1,1,2f7f29a21ab7c64a45abd84b76e7c402.jpg,5.6,800,320,16:26:30
+1.0,2012-02-23,2012-02-23 14:58:53,0,3,dcfc081f8022ba45685924eb9bbfb4ba.jpg,5.6,800,400,14:58:53
+1.0,2013-02-26,2013-02-26 12:19:03,1,1,960e569d0bd61d74d24ba6e2b4d91b8f.jpg,5.6,800,200,12:19:03
+1.0,2012-03-20,2012-03-20 13:56:38,0,3,2235c7d1d5045fd966c1dffbec3d720a.jpg,5.6,800,400,13:56:38
+1.0,2013-01-28,2013-01-28 12:40:48,1,1,a2ba985f70a24b91303a392c36812ff4.jpg,5.6,800,100,12:40:48
+1.0,2013-02-13,2013-02-13 12:14:06,1,1,a95b3b01bb6ff20f311ba3e28f96cc63.jpg,5.6,800,100,12:14:06
+1.0,2012-03-20,2012-03-20 13:58:45,0,3,bcd3590207f2d908e401e1c613f73ebd.jpg,5.6,800,400,13:58:45
+1.0,2012-03-20,2012-03-20 15:22:51,0,3,e90fd0e63a0435ea273b30f2a2fb7e0e.jpg,5.6,800,400,15:22:51
+1.0,2013-01-28,2013-01-28 12:33:34,1,1,2865f9240f1c2183f564ce7702aa81e2.jpg,5.6,800,100,12:33:34
+1.0,2012-03-06,2012-03-06 13:28:21,0,3,a084f6e6d8aec33096c3f8133cb591e8.jpg,5.6,800,400,13:28:21
+1.0,2012-03-20,2012-03-20 15:25:02,0,3,c7e9061a829ca8eb4f706da2bfdce42b.jpg,5.6,800,400,15:25:02
+1.0,2013-01-28,2013-01-28 12:41:30,1,1,8d883d1b0db06f022fd72c05573e5fac.jpg,5.6,800,100,12:41:30
+1.0,2013-01-28,2013-01-28 12:40:02,1,1,574953b2c18f11f274b1de01adcd7ad7.jpg,5.6,800,100,12:40:02
+1.0,2012-03-20,2012-03-20 12:29:05,0,3,ef4014ac79e83d1732d0675f55221ca8.jpg,5.6,800,400,12:29:05
+1.0,2013-02-26,2013-02-26 12:06:48,1,1,d9b9853a8c8d27749009130618a53423.jpg,5.6,800,160,12:06:48
+1.0,2013-01-29,2013-01-29 12:17:22,1,1,a0255d64c03a71a0f2c070dde2e0f257.jpg,5.6,800,100,12:17:22
+1.0,2013-01-28,2013-01-28 12:41:40,1,1,9d2668fcdb4f7b8b6a5bfade6519f659.jpg,5.6,800,100,12:41:40
+1.0,2013-01-29,2013-01-29 12:33:10,1,1,667bb29ea8451378dda4d26673981640.jpg,5.6,800,100,12:33:10
+1.0,2012-04-03,2012-04-03 09:35:50,0,3,82f7a437950a7d249a378d553321435d.jpg,5.6,800,400,09:35:50
+1.0,2012-04-03,2012-04-03 09:36:15,0,3,e0a8a95852b152edd5e622e48ac23bd4.jpg,5.6,800,400,09:36:15
+1.0,2012-04-03,2012-04-03 09:43:26,0,3,c46888d063b654ac97b395da0532dc1e.jpg,5.6,800,400,09:43:26
+1.0,2012-03-20,2012-03-20 15:22:25,0,3,65fd1c33478f652889ecd5e6a92cd6ea.jpg,5.6,800,400,15:22:25
+1.0,2013-01-29,2013-01-29 16:30:27,1,1,79cfdf0a2358ef684931d99c5ead410b.jpg,5.6,800,250,16:30:27
+1.0,2012-03-20,2012-03-20 15:23:55,0,3,326985dfeda97fc2896c09c3dec8b792.jpg,5.6,800,400,15:23:55
+1.0,2013-02-19,2013-02-19 16:14:26,1,1,00c0ebb5a884b88d718e91e073acb94e.jpg,5.6,800,320,16:14:26
+1.0,2012-04-03,2012-04-03 09:38:01,0,3,52ad8c70cc610a88d552aac4e0aff211.jpg,5.6,800,400,09:38:01
+1.0,2012-03-20,2012-03-20 09:45:08,0,3,1752a5d807be7b0bcd6ed343e9d05a01.jpg,5.6,800,400,09:45:08
+1.0,2012-03-20,2012-03-20 13:56:37,0,3,19549543a11d3643e845ee5a0e4008f4.jpg,5.6,800,400,13:56:37
+1.0,2013-02-13,2013-02-13 12:23:45,1,1,1fa10eb213c120a38bbd8d9e80d108de.jpg,5.6,800,100,12:23:45
+1.0,2012-03-08,2012-03-08 10:47:43,0,3,472da6755b7ffad2421b3d9a6ebc6f89.jpg,5.6,800,400,10:47:43
+1.0,2012-04-03,2012-04-03 09:41:23,0,3,0106957357f7582efbe6a8f1b0a98157.jpg,5.6,800,400,09:41:23
+1.0,2013-02-26,2013-02-26 12:04:24,1,1,fd31297363e48cbe50ca8125f94eebfd.jpg,5.6,800,160,12:04:24
+1.0,2012-04-03,2012-04-03 09:35:46,0,3,0a8d1ed2d484b9b7ef58b388ea42b3ca.jpg,5.6,800,400,09:35:46
+1.0,2013-02-26,2013-02-26 12:19:06,1,1,fe3c405273590ce32b709d8f01584490.jpg,5.6,800,200,12:19:06
+1.0,2013-02-19,2013-02-19 16:25:57,1,1,db5642c54efad8c48e3346778ff8bd70.jpg,5.6,800,500,16:25:57
+1.0,2013-01-29,2013-01-29 16:24:24,1,1,f550e0dfefb1b9bfd701aa39e2226483.jpg,5.6,800,250,16:24:24
+1.0,2012-03-20,2012-03-20 11:05:48,0,3,b34f75e1726ea8768c3ebadb2ad71688.jpg,5.6,800,400,11:05:48
+1.0,2012-03-20,2012-03-20 11:06:19,0,3,8887949744bff73c013a5afa659786cb.jpg,5.6,800,400,11:06:19
+1.0,2012-04-03,2012-04-03 11:10:01,0,3,7181a932f3dc4ef412d3595d690649e4.jpg,5.6,800,400,11:10:01
+1.0,2013-01-28,2013-01-28 12:40:08,1,1,d9c424a038373275a4a851e01df603f3.jpg,5.6,800,100,12:40:08
+1.0,2012-03-20,2012-03-20 09:47:30,0,3,b83d81f9d57b021e1c8a143492ee5750.jpg,5.6,800,400,09:47:30
+1.0,2012-03-20,2012-03-20 09:46:32,0,3,514edce5e8c7a26e5da903f9f727975b.jpg,5.6,800,400,09:46:32
+1.0,2012-03-20,2012-03-20 13:56:11,0,3,474464b3ff0f49d91633b26acd595d97.jpg,5.6,800,400,13:56:11
+1.0,2013-01-28,2013-01-28 12:38:32,1,1,132fccd48b944de406efdba5f5b53349.jpg,5.6,800,100,12:38:32
+1.0,2013-01-28,2013-01-28 12:33:19,1,1,c477b198ecaceaa7f904978ecfd461af.jpg,5.6,800,100,12:33:19
+1.0,2013-02-20,2013-02-20 12:17:24,1,1,e3e3c7ade454e6fa0c1f5145dd1be9dc.jpg,5.6,800,100,12:17:24
+1.0,2013-02-13,2013-02-13 13:23:10,1,1,b800519f67a324010e1be53cb5f2540a.jpg,5.6,800,100,13:23:10
+1.0,2012-03-20,2012-03-20 13:57:22,0,3,e4f8963b9debf4172ab2e6fe6068e352.jpg,5.6,800,400,13:57:22
+1.0,2013-02-20,2013-02-20 12:09:50,1,1,e40ac2e98f0baf6fb1e8349d3c3502d4.jpg,5.6,800,200,12:09:50
+1.0,2012-04-03,2012-04-03 11:12:39,0,3,7da9aee1482c18963f2e7fe97d8d4a11.jpg,5.6,800,400,11:12:39
+1.0,2013-02-20,2013-02-20 12:44:18,1,1,dbce43800b2102f85b428b58759c2a11.jpg,5.6,800,100,12:44:18
+1.0,2012-04-03,2012-04-03 11:08:34,0,3,3cd87f04efa28917e89f21c9793de63e.jpg,5.6,800,400,11:08:34
+1.0,2013-01-28,2013-01-28 12:33:06,1,1,32ea97d357a8b5b54ca4a8c86b28ee5d.jpg,5.6,800,100,12:33:06
+1.0,2012-04-03,2012-04-03 09:41:22,0,3,9f30533b87177c88d4c40ebf4258d85c.jpg,5.6,800,400,09:41:22
+1.0,2012-04-03,2012-04-03 11:13:07,0,3,9d199560390a6ef5606c11b63b653bb1.jpg,5.6,800,400,11:13:07
+1.0,2012-04-03,2012-04-03 11:12:35,0,3,adb1816c88a21c9b7b97d9cbc4b1af7c.jpg,5.6,800,400,11:12:35
+1.0,2013-02-20,2013-02-20 12:19:45,1,1,6ab8d95f4b3bdab8d11af66bf0ae64bc.jpg,5.6,800,100,12:19:45
+1.0,2013-02-13,2013-02-13 13:26:34,1,1,855a882582a8b32097cf3cfcdef0565a.jpg,5.6,800,100,13:26:34
+1.0,2013-02-20,2013-02-20 12:20:15,1,1,d4ca89df3923f6533b2573a0a5df70b6.jpg,5.6,800,100,12:20:15
+1.0,2013-01-29,2013-01-29 16:24:05,1,1,51f00c7f2f5070a3d436c6e242b11fc4.jpg,5.6,800,320,16:24:05
+1.0,2012-03-08,2012-03-08 14:54:25,0,3,63945b7e445421c873edd39544064fcb.jpg,5.6,800,400,14:54:25
+1.0,2012-03-20,2012-03-20 11:06:53,0,3,0492c0308629c977c1041b52f37f9b2d.jpg,5.6,800,400,11:06:53
+1.0,2012-04-03,2012-04-03 09:38:21,0,3,258deba54566f4b4a2fa319af7b2a6ce.jpg,5.6,800,400,09:38:21
+1.0,2012-04-03,2012-04-03 11:06:19,0,3,4e48cf9514f93abd749c1fa8f39f3f34.jpg,5.6,800,400,11:06:19
+1.0,2012-04-03,2012-04-03 11:12:32,0,3,9dcf2516d1688c30f9f3c8f3f6f16e55.jpg,5.6,800,400,11:12:32
+1.0,2012-03-20,2012-03-20 09:46:38,0,3,240cfaa1a57e585f9dff89ed20c8a278.jpg,5.6,800,400,09:46:38
+1.0,2012-03-22,2012-03-22 11:06:55,0,3,bcf1d0aa9fd8770f0b0ec8bc5200dcc6.jpg,5.6,800,400,11:06:55
+1.0,2012-04-03,2012-04-03 11:13:00,0,3,60ee182166ab0f85ecfb75fdf3d8508f.jpg,5.6,800,400,11:13:00
+1.0,2012-04-03,2012-04-03 09:41:27,0,3,a8b448c9809a1d0479262089b102bcdd.jpg,5.6,800,400,09:41:27
+1.0,2013-02-20,2013-02-20 12:26:12,1,1,5947af014fa15007150187d81815092c.jpg,5.6,800,100,12:26:12
+1.0,2012-04-03,2012-04-03 12:37:54,0,3,6ab7286eab1c34c9d0e6e3574497d141.jpg,5.6,800,400,12:37:54
+1.0,2012-03-13,2012-03-13 11:13:22,0,3,1935796e5ce1f1852f242d35df8ea18d.jpg,5.6,800,400,11:13:22
+1.0,2012-04-03,2012-04-03 12:33:43,0,3,9de5d21d4742733aac84040d10532689.jpg,5.6,800,400,12:33:43
+1.0,2012-03-20,2012-03-20 09:45:33,0,3,a7373ae61e7144f89c43c3ab6b9ac6c6.jpg,5.6,800,400,09:45:33
+1.0,2013-01-29,2013-01-29 16:33:14,1,1,56fa2977c02c5f7c9aea366e4809ee58.jpg,5.6,800,320,16:33:14
+1.0,2013-02-19,2013-02-19 16:16:02,1,1,cbc6611e0e2a18ba3d6acfaf41a82ff2.jpg,5.6,800,320,16:16:02
+1.0,2012-03-08,2012-03-08 15:01:00,0,3,f81927b897ec22c38c3c96b25e30a765.jpg,5.6,800,400,15:01:00
+1.0,2012-04-03,2012-04-03 09:39:28,0,3,72c3297ef543a7b9d03a3c40e6535a7a.jpg,5.6,800,400,09:39:28
+1.0,2012-03-22,2012-03-22 11:11:28,0,3,04b76282156fa6be313651d2e1cd2e97.jpg,5.6,800,400,11:11:28
+1.0,2012-03-20,2012-03-20 13:56:35,0,3,48ba57fd97c8fc0b8f20060411d23ae9.jpg,5.6,800,400,13:56:35
+1.0,2013-02-19,2013-02-19 16:31:38,1,1,55ed37ebde8f188e8fd474ae64c91323.jpg,5.6,800,320,16:31:38
+1.0,2012-03-08,2012-03-08 12:12:08,0,3,a8a2e7cd4d36019e7fa2805c1c418e25.jpg,5.6,800,400,12:12:08
+1.0,2012-03-20,2012-03-20 15:23:35,0,3,0950bb7c108082b69f6bd30a32e54e37.jpg,5.6,800,400,15:23:35
+1.0,2013-02-26,2013-02-26 12:17:59,1,1,199e9c1368657d1339778b0812bafdb0.jpg,5.6,800,200,12:17:59
+1.0,2012-03-08,2012-03-08 10:46:29,0,3,752e4b66c9ec007fb93e55605ec964ca.jpg,5.6,800,400,10:46:29
+1.0,2013-01-29,2013-01-29 16:33:47,1,1,f809e27ffaf2cba4e30cb795675e379a.jpg,5.6,800,800,16:33:47
+1.0,2013-02-20,2013-02-20 12:22:54,1,1,b2216215453d6a7daa9c38412bed8ce7.jpg,5.6,800,100,12:22:54
+1.0,2013-02-19,2013-02-19 16:22:55,1,1,cd60773f777bb0df136248af656226a0.jpg,5.6,800,400,16:22:55
+1.0,2013-01-29,2013-01-29 12:18:01,1,1,003b37864df377206aced5ce255c0b1d.jpg,5.6,800,100,12:18:01
+1.0,2012-03-20,2012-03-20 12:34:32,0,3,4dec7131dcf8d8f8a79775d52f7a1e2d.jpg,5.6,800,400,12:34:32
+1.0,2012-04-03,2012-04-03 09:35:55,0,3,9dabe00bccb74eec95fa20edae80c4b0.jpg,5.6,800,400,09:35:55
+1.0,2012-03-20,2012-03-20 15:22:58,0,3,b3cbea51b281b21738becfd0701abe04.jpg,5.6,800,400,15:22:58
+1.0,2013-02-13,2013-02-13 12:12:14,1,1,84bf4aa427b7bf89ca6a9a5d42cd1168.jpg,5.6,800,100,12:12:14
+1.0,2013-02-13,2013-02-13 13:01:18,1,1,4def2ecd1f5d4bb87460e0a554696be0.jpg,5.6,800,100,13:01:18
+1.0,2013-01-28,2013-01-28 12:38:09,1,1,ea5c94992d50510ae3f3848ca0589291.jpg,5.6,800,100,12:38:09
+1.0,2013-01-28,2013-01-28 12:34:13,1,1,abf9e4bd7bad0bc306d87068f668b051.jpg,5.6,800,100,12:34:13
+1.0,2013-01-28,2013-01-28 12:40:07,1,1,814ea8b678ca2ca51a3f1b3efd25acf6.jpg,5.6,800,100,12:40:07
+1.0,2013-02-26,2013-02-26 12:19:58,1,1,a01220da861961d122b4f3d353aaf0a0.jpg,5.6,800,200,12:19:58
+1.0,2012-04-03,2012-04-03 09:37:03,0,3,b46bf68f6438b406afc6171de232b0d2.jpg,5.6,800,400,09:37:03
+1.0,2012-03-20,2012-03-20 11:05:39,0,3,42dcac413458cdc86747b533dfeab830.jpg,5.6,800,400,11:05:39
+1.0,2013-02-13,2013-02-13 13:14:15,1,1,12ad6cce4f3c6a771eb7e5815cea1d40.jpg,5.6,800,100,13:14:15
+1.0,2012-04-24,2012-04-24 09:44:03,0,3,bf04a5d050ab3682b5173187e62015de.jpg,5.6,800,400,09:44:03
+1.0,2012-03-20,2012-03-20 11:08:39,0,3,8799c3b9076a54947875948e081e1f17.jpg,5.6,800,400,11:08:39
+1.0,2013-02-19,2013-02-19 16:32:43,1,1,42c96afb36b07e7d99a033274d782795.jpg,5.6,800,320,16:32:43
+1.0,2012-03-20,2012-03-20 12:34:31,0,3,a82db5b8c61a4b18c1e750b5a9cfa2d2.jpg,5.6,800,400,12:34:31
+1.0,2013-02-20,2013-02-20 12:43:23,1,1,efc93bbffab68ca36536ca95a3adb9ce.jpg,5.6,800,100,12:43:23
+1.0,2012-03-20,2012-03-20 12:29:26,0,3,fd3b0de9329d94da257a74fd562cf83c.jpg,5.6,800,400,12:29:26
+1.0,2012-03-20,2012-03-20 13:56:59,0,3,dc22dee3b0b9e597d41a34dc165cbb27.jpg,5.6,800,400,13:56:59
+1.0,2013-02-20,2013-02-20 12:02:21,1,1,4805ac4937942d12ed61790181e0f2ce.jpg,5.6,800,160,12:02:21
+1.0,2012-03-13,2012-03-13 11:11:29,0,3,6904a936c4ac8cb156ee7e7e27d75145.jpg,5.6,800,400,11:11:29
+1.0,2013-02-20,2013-02-20 12:26:02,1,1,6889cae8c5667e6af69f5483e2a43898.jpg,5.6,800,100,12:26:02
+1.0,2013-01-29,2013-01-29 12:30:53,1,1,abe077b77320ab004f2d6038fe315dfb.jpg,5.6,800,100,12:30:53
+1.0,2012-03-20,2012-03-20 12:32:51,0,3,56e197962c40e217a6e492c84f77f6e2.jpg,5.6,800,400,12:32:51
+1.0,2013-01-29,2013-01-29 12:12:45,1,1,5a43008f28873a0c8c15f5a9355afe0b.jpg,5.6,800,100,12:12:45
+1.0,2012-04-03,2012-04-03 09:36:34,0,3,1d978b19fadeff5de38d9ebf040e481f.jpg,5.6,800,400,09:36:34
+1.0,2013-01-29,2013-01-29 16:27:10,1,1,dbe11a134f587059e693cf396387c251.jpg,5.6,800,250,16:27:10
+1.0,2012-04-03,2012-04-03 11:12:58,0,3,c88288a81e1f392cef49103440d8a03c.jpg,5.6,800,400,11:12:58
+1.0,2013-01-28,2013-01-28 12:37:51,1,1,0737c3d6ceae3134c7d463604a98faf8.jpg,5.6,800,100,12:37:51
+1.0,2013-02-19,2013-02-19 16:33:34,1,1,d4fd9e52fb36832183a92e031210ff18.jpg,5.6,800,400,16:33:34
+1.0,2013-02-20,2013-02-20 12:25:48,1,1,14cb288a812e17488354327d0b02c1c4.jpg,5.6,800,100,12:25:48
+1.0,2013-02-19,2013-02-19 16:17:16,1,1,72338f7928507b5abdd5a81c262857a6.jpg,5.6,800,320,16:17:16
+1.0,2013-02-20,2013-02-20 12:11:24,1,1,3fe71de2b6d11cce6d7a800ff41a8c5e.jpg,5.6,800,160,12:11:24
+1.0,2012-03-20,2012-03-20 12:33:07,0,3,853e6eda9b0c09e8b78ccf14267e3ae1.jpg,5.6,800,400,12:33:07
+1.0,2013-01-28,2013-01-28 12:42:33,1,1,8b9dc1f973417f71292fc227164d4445.jpg,5.6,800,100,12:42:33
+1.0,2012-04-03,2012-04-03 11:10:15,0,3,d8bffb5ac777741b22544a80f08a53ed.jpg,5.6,800,400,11:10:15
+1.0,2012-03-08,2012-03-08 12:10:20,0,3,3ccb4e7a7140189e5186e084f59fac62.jpg,5.6,800,400,12:10:20
+1.0,2012-03-13,2012-03-13 11:09:08,0,3,3cf194e7a9fd2b250d95473111e42576.jpg,5.6,800,400,11:09:08
+1.0,2013-02-26,2013-02-26 12:17:36,1,1,6cf727d6606b305d3d2fc4fc0c9733ee.jpg,5.6,800,200,12:17:36
+1.0,2013-01-29,2013-01-29 16:25:29,1,1,266bfe7624c14fe9c0bcebd795a30480.jpg,5.6,800,320,16:25:29
+1.0,2013-01-29,2013-01-29 12:27:25,1,1,a96af5412b3011cfcdd834b18c97d0ac.jpg,5.6,800,100,12:27:25
+1.0,2012-03-08,2012-03-08 14:54:10,0,3,b9235a9e33504ae7863a456387a3665d.jpg,5.6,800,400,14:54:10
+1.0,2013-01-28,2013-01-28 12:38:14,1,1,3b6c4dc3272ffe08acf7c362b13105fb.jpg,5.6,800,100,12:38:14
+1.0,2013-02-20,2013-02-20 12:03:19,1,1,34c00cd0ed89580b75c8ba78bc91f912.jpg,5.6,800,160,12:03:19
+1.0,2012-03-22,2012-03-22 11:08:26,0,3,d358b4f60ad145082f8ed87a9af7eceb.jpg,5.6,800,400,11:08:26
+1.0,2012-03-20,2012-03-20 12:35:18,0,3,00cdb27659b894ef7f011658e8b2cfa5.jpg,5.6,800,400,12:35:18
+1.0,2013-02-26,2013-02-26 12:45:07,1,1,b70b4b61003a79e25377ecc4096582a3.jpg,5.6,800,200,12:45:07
+1.0,2012-04-03,2012-04-03 09:36:13,0,3,1af0eeea1b0865d769d856d25a867648.jpg,5.6,800,400,09:36:13
+1.0,2013-02-19,2013-02-19 16:26:36,1,1,9aefa1e3653313deaba781f609862e32.jpg,5.6,800,320,16:26:36
+1.0,2013-02-26,2013-02-26 12:09:11,1,1,c9575094053d001a2e878e1a4b31d527.jpg,5.6,800,200,12:09:11
+1.0,2012-04-03,2012-04-03 09:44:16,0,3,c79abf4c63f1a38ed83bb21d27a62259.jpg,5.6,800,400,09:44:16
+1.0,2012-03-22,2012-03-22 11:08:18,0,3,ea8f6d0b8dadc0c0462ac347527fdd33.jpg,5.6,800,400,11:08:18
+1.0,2012-03-08,2012-03-08 10:47:41,0,3,cbb5c4b1a0fc0f0b79324325fcd2ce28.jpg,5.6,800,400,10:47:41
+1.0,2013-02-20,2013-02-20 12:08:03,1,1,c5691cae3a377431a800ebdab103480f.jpg,5.6,800,250,12:08:03
+1.0,2012-04-03,2012-04-03 09:41:20,0,3,f1335164d0f86014da58559a6857d847.jpg,5.6,800,400,09:41:20
+1.0,2012-04-03,2012-04-03 09:38:48,0,3,bbfddd8bf47e2aa4b019dd8df2a3ae04.jpg,5.6,800,400,09:38:48
+1.0,2013-01-29,2013-01-29 12:27:44,1,1,44de1c3a353eaec425a3db0d211fb6fd.jpg,5.6,800,100,12:27:44
+1.0,2012-04-03,2012-04-03 11:11:11,0,3,cda6afce445ca365c09aa187260110f5.jpg,5.6,800,400,11:11:11
+1.0,2012-04-03,2012-04-03 12:36:35,0,3,4a4b6705314f3a71405647b697fc9837.jpg,5.6,800,400,12:36:35
+1.0,2012-03-20,2012-03-20 13:58:26,0,3,8d62ec331e5a10bd75b9bf6846bb3cf7.jpg,5.6,800,400,13:58:26
+1.0,2012-03-20,2012-03-20 11:08:26,0,3,b7a9c778dffbf37d328a5f549751bb55.jpg,5.6,800,400,11:08:26
+1.0,2013-02-19,2013-02-19 16:30:14,1,1,1cd46d618c20fd960f147dd00a78e78a.jpg,5.6,800,320,16:30:14
+1.0,2012-03-20,2012-03-20 12:32:08,0,3,bff84f11b6f84f20ea6f8049bf190061.jpg,5.6,800,400,12:32:08
+1.0,2013-02-19,2013-02-19 16:18:02,1,1,6187b73180120661b82e3f777c36b731.jpg,5.6,800,320,16:18:02
+1.0,2012-03-20,2012-03-20 12:32:43,0,3,342ba9f9d42cbc3cc8ee3d50d0db7351.jpg,5.6,800,400,12:32:43
+1.0,2013-02-26,2013-02-26 12:04:51,1,1,623348eb366c44e454ab9df2f551290b.jpg,5.6,800,160,12:04:51
+1.0,2012-03-22,2012-03-22 11:04:57,0,3,9c18601387cad29cd183dad661fa76bd.jpg,5.6,800,400,11:04:57
+1.0,2013-01-28,2013-01-28 12:41:57,1,1,b0e3a6afd438ec7ace909f092e74a4dd.jpg,5.6,800,100,12:41:57
+1.0,2012-03-20,2012-03-20 13:55:52,0,3,d2840c4c097cba5cddfde42ae3153ee8.jpg,5.6,800,400,13:55:52
+1.0,2013-02-20,2013-02-20 12:14:42,1,1,7e6958a736d8da683bde6aab5d32094f.jpg,5.6,800,125,12:14:42
+1.0,2013-01-28,2013-01-28 12:38:38,1,1,1302a86e3c7a5c508295f9d93f4927bb.jpg,5.6,800,100,12:38:38
+1.0,2013-01-29,2013-01-29 12:17:03,1,1,bb3f27ec22d42a5196b16b1d30bf833c.jpg,5.6,800,100,12:17:03
+1.0,2013-02-13,2013-02-13 12:32:29,1,1,729b5f85afd6fd411754f7eccb0d95af.jpg,5.6,800,100,12:32:29
+1.0,2013-01-28,2013-01-28 12:38:47,1,1,ea2b17ba7d51a15d1abde1b6280bda92.jpg,5.6,800,100,12:38:47
+1.0,2013-01-29,2013-01-29 12:18:43,1,1,92ea5fdfe8d21e399f535d2ff3f1cdbb.jpg,5.6,800,100,12:18:43
+1.0,2013-02-13,2013-02-13 13:19:46,1,1,3555a840a83f331789cec2ba6fb31870.jpg,5.6,800,100,13:19:46
+1.0,2012-04-03,2012-04-03 09:45:02,0,3,6a9e4ca0b85e81e58d7830029be9e4f6.jpg,5.6,800,400,09:45:02
+1.0,2013-02-26,2013-02-26 12:41:09,1,1,c2fcfb358baa0156ebef2d5b6b2e424c.jpg,5.6,800,200,12:41:09
+1.0,2013-01-28,2013-01-28 12:33:16,1,1,72fc3c6977cbe5463699cfc798f654bc.jpg,5.6,800,100,12:33:16
+1.0,2012-02-23,2012-02-23 14:54:47,0,3,25927615e9ece2e321834dab33cc370e.jpg,5.6,800,400,14:54:47
+1.0,2012-03-08,2012-03-08 15:01:04,0,3,66f1fc78750f817b7542f5aabce591bf.jpg,5.6,800,400,15:01:04
+1.0,2013-02-26,2013-02-26 12:04:27,1,1,593e94315899b9cc1d4cdb0fd43bdb95.jpg,5.6,800,160,12:04:27
+1.0,2012-03-20,2012-03-20 09:45:32,0,3,0af35000b197e4023898030ddc34869d.jpg,5.6,800,400,09:45:32
+1.0,2012-03-22,2012-03-22 11:04:42,0,3,297b77469f45737e186334adc156ec51.jpg,5.6,800,400,11:04:42
+1.0,2012-03-08,2012-03-08 10:43:47,0,3,4225671e51ef83afa3dff2b70f47376e.jpg,5.6,800,400,10:43:47
+1.0,2013-02-13,2013-02-13 12:48:02,1,1,fe854d74d802cbb1b45299ee8fca2d21.jpg,5.6,800,100,12:48:02
+1.0,2013-02-13,2013-02-13 13:15:56,1,1,c1cdd22dba728f0a3557be5170bf4cbf.jpg,5.6,800,100,13:15:56
+1.0,2013-02-26,2013-02-26 12:15:19,1,1,ac7ddffef3a7871e7cbaa371f9e3dd80.jpg,5.6,800,200,12:15:19
+1.0,2013-02-20,2013-02-20 12:26:29,1,1,4ec27e998a75262a7ddad1cb680ed694.jpg,5.6,800,100,12:26:29
+1.0,2013-01-28,2013-01-28 12:34:44,1,1,2cf97a240ae0aa270876ba8021006d8e.jpg,5.6,800,100,12:34:44
+1.0,2013-02-20,2013-02-20 12:14:47,1,1,aceff2393ba61de11644eef203e16a3a.jpg,5.6,800,125,12:14:47
+1.0,2013-02-13,2013-02-13 12:59:38,1,1,d27fa3d63ea26f734d58e3ce146b91d5.jpg,5.6,800,100,12:59:38
+1.0,2013-01-29,2013-01-29 16:22:21,1,1,420fbb8927bee812a7f60a663b6dde82.jpg,5.6,800,320,16:22:21
+1.0,2012-03-22,2012-03-22 11:11:00,0,3,4160be8aa7bb1d3fa7db49731f9d10d4.jpg,5.6,800,400,11:11:00
+1.0,2013-01-28,2013-01-28 12:38:36,1,1,63e3deaa6cb43aac40e396e0bdeb5d2e.jpg,5.6,800,100,12:38:36
+1.0,2012-03-20,2012-03-20 09:42:13,0,3,2ef61b8bb4415f2436cdb511a38fa223.jpg,5.6,800,400,09:42:13
+1.0,2012-03-06,2012-03-06 13:27:37,0,3,66c375299453478138a432ffbba522c3.jpg,5.6,800,400,13:27:37
+1.0,2012-03-22,2012-03-22 11:08:30,0,3,4f9a28700ae9e9d3595c5028109203eb.jpg,5.6,800,400,11:08:30
+1.0,2013-02-20,2013-02-20 12:20:24,1,1,6976d24cc4e7bdb6c3c4599edcac8c52.jpg,5.6,800,100,12:20:24
+1.0,2013-01-29,2013-01-29 12:14:18,1,1,092adbc2223a4814c030492a1e644cdf.jpg,5.6,800,100,12:14:18
+1.0,2013-01-29,2013-01-29 12:34:24,1,1,5fe397be5ed3627ad90c38cc554d443d.jpg,5.6,800,100,12:34:24
+1.0,2013-01-28,2013-01-28 12:34:14,1,1,8ca0e31b5477950b908a1d06c646530f.jpg,5.6,800,100,12:34:14
+1.0,2013-01-29,2013-01-29 12:13:38,1,1,ed00c129ffcdcc5e2e6b80d432962643.jpg,5.6,800,100,12:13:38
+1.0,2012-03-06,2012-03-06 13:32:46,0,3,784b81cc419318cd1451b68262e95f68.jpg,5.6,800,400,13:32:46
+1.0,2013-01-29,2013-01-29 12:07:42,1,1,27a9bdde6fda441978d695c39b082811.jpg,5.6,800,100,12:07:42
+1.0,2012-03-20,2012-03-20 13:56:36,0,3,cbd8560bc54e2e72e51b3cb5b9ebc32d.jpg,5.6,800,400,13:56:36
+1.0,2012-04-03,2012-04-03 11:12:05,0,3,06d7dc682a55490ddf42829d9cf9ca8f.jpg,5.6,800,400,11:12:05
+1.0,2012-03-08,2012-03-08 14:58:08,0,3,3ce9f01f1211c2714f895e53b539ead1.jpg,5.6,800,400,14:58:08
+1.0,2013-01-29,2013-01-29 16:25:39,1,1,ce778a5a029c1fb5d672c5a9a017dfb7.jpg,5.6,800,250,16:25:39
+1.0,2013-02-26,2013-02-26 12:19:04,1,1,422fa844e6263af832c40d4ab8a9286f.jpg,5.6,800,200,12:19:04
+1.0,2013-01-29,2013-01-29 12:33:11,1,1,1712886a017b4afe53310a54b770f4f6.jpg,5.6,800,100,12:33:11
+1.0,2012-04-03,2012-04-03 09:42:29,0,3,d143c6bb4210d612501d87f0df4edef2.jpg,5.6,800,400,09:42:29
+1.0,2013-01-29,2013-01-29 16:25:41,1,1,861d39dfadb0365ea8f8f309d078016b.jpg,5.6,800,400,16:25:41
+1.0,2012-03-20,2012-03-20 09:47:33,0,3,2b86a33b3d1394a089b4fe6284fb8ef4.jpg,5.6,800,400,09:47:33
+1.0,2012-04-03,2012-04-03 09:43:55,0,3,9d46961c5905192451090d4fbb39d12e.jpg,5.6,800,400,09:43:55
+1.0,2013-02-20,2013-02-20 12:24:38,1,1,9c655d33a502cc4733ed7070c8931ce2.jpg,5.6,800,100,12:24:38
+1.0,2013-01-29,2013-01-29 12:33:15,1,1,aca78e947f797e16af3fce7d89286d90.jpg,5.6,800,100,12:33:15
+1.0,2013-02-13,2013-02-13 12:12:31,1,1,0ee66482e6344491cb67527d3aeee1e6.jpg,5.6,800,100,12:12:31
+1.0,2012-03-20,2012-03-20 09:42:23,0,3,b40da76c31925585c89746a9936dac69.jpg,5.6,800,400,09:42:23
+1.0,2013-02-20,2013-02-20 12:21:03,1,1,c7bfca77641b0b9ddb186cdcb7b19be3.jpg,5.6,800,100,12:21:03
+1.0,2013-02-13,2013-02-13 12:48:13,1,1,59d1d270ea3ea3b3e23a3ec4da66c49b.jpg,5.6,800,100,12:48:13
+1.0,2012-04-12,2012-04-12 13:58:16,0,3,30354924f6b1de6caeb883b71ce7d180.jpg,5.6,800,400,13:58:16
+1.0,2013-02-19,2013-02-19 16:22:10,1,1,f57799c87a13b0e24762dd7bd8fb5252.jpg,5.6,800,400,16:22:10
+1.0,2013-01-28,2013-01-28 12:34:12,1,1,c250b0350ff2c331a246b101e784ac53.jpg,5.6,800,100,12:34:12
+1.0,2013-02-26,2013-02-26 12:04:55,1,1,bdf4b95f6e571e90bae21f9e5e583479.jpg,5.6,800,160,12:04:55
+1.0,2012-03-20,2012-03-20 12:29:53,0,3,a6c70898c1ba4ee34c5147d0dc40b01e.jpg,5.6,800,400,12:29:53
+1.0,2012-04-03,2012-04-03 12:31:00,0,3,8e1be26b437aa35c26d2f0039f278c54.jpg,5.6,800,400,12:31:00
+1.0,2012-04-03,2012-04-03 09:39:50,0,3,d37b5ab638679b181e3505f04d5c84e9.jpg,5.6,800,400,09:39:50
+1.0,2012-03-08,2012-03-08 10:48:23,0,3,a9eb8325287d4a090070d215b059f3aa.jpg,5.6,800,400,10:48:23
+1.0,2012-04-03,2012-04-03 11:04:29,0,3,c0fca8681159118fe0310c77d681c98e.jpg,5.6,800,400,11:04:29
+1.0,2012-03-20,2012-03-20 11:07:03,0,3,f50ea2fa2910488d3901bf6b057dfff0.jpg,5.6,800,400,11:07:03
+1.0,2012-03-20,2012-03-20 13:55:58,0,3,22457d11b751cae3fc3b19349319a312.jpg,5.6,800,400,13:55:58
+1.0,2012-03-20,2012-03-20 09:45:04,0,3,d7d5095f0255fb98f7b1e4e374371539.jpg,5.6,800,400,09:45:04
+1.0,2012-03-22,2012-03-22 11:11:20,0,3,e89957e9366d694cda1a6bf945a21642.jpg,5.6,800,400,11:11:20
+1.0,2013-02-20,2013-02-20 12:25:48,1,1,cd3f04e0844a362d6d73085c45e10d80.jpg,5.6,800,100,12:25:48
+1.0,2013-02-20,2013-02-20 12:13:12,1,1,289c6ca9f6e9f58d9ce51a940eab9c75.jpg,5.6,800,160,12:13:12
+1.0,2013-02-13,2013-02-13 12:49:07,1,1,d4c668ee4d8adc5e0d8d596d128a6906.jpg,5.6,800,100,12:49:07
+1.0,2013-01-29,2013-01-29 12:19:55,1,1,ada3281cf7ccf651d8b2af063dbfb170.jpg,5.6,800,100,12:19:55
+1.0,2013-02-20,2013-02-20 12:34:05,1,1,df39a5ac56d7eba9f414797937004684.jpg,5.6,800,100,12:34:05
+1.0,2013-01-29,2013-01-29 12:18:43,1,1,21562e649a0e0e7818d5355330525592.jpg,5.6,800,100,12:18:43
+1.0,2013-02-13,2013-02-13 13:27:20,1,1,71f704b95662ecb0d885bd1caf5b3781.jpg,5.6,800,100,13:27:20
+1.0,2012-04-03,2012-04-03 09:41:26,0,3,565b83830266abc33449e35dd721ee90.jpg,5.6,800,400,09:41:26
+1.0,2013-02-26,2013-02-26 12:30:01,1,1,0372b3f9ade2bab82fadf12c4b54460f.jpg,5.6,800,200,12:30:01
+1.0,2013-02-20,2013-02-20 12:04:08,1,1,d62a49a004cdfdd081f2ebd6a9f2e83f.jpg,5.6,800,200,12:04:08
+1.0,2013-02-19,2013-02-19 16:21:33,1,1,e7858eb99a60f075efa1620de0c03d4c.jpg,5.6,800,320,16:21:33
+1.0,2013-01-28,2013-01-28 12:34:14,1,1,ba4fb5749c3bb6c1d565edebb0956ee6.jpg,5.6,800,100,12:34:14
+1.0,2012-03-20,2012-03-20 13:58:00,0,3,24da422ec3cccfb88b6c1fc249dcf53d.jpg,5.6,800,400,13:58:00
+1.0,2013-02-20,2013-02-20 12:04:40,1,1,9cad154ea4b14082dca38f8161d420c6.jpg,5.6,800,160,12:04:40
+1.0,2012-04-03,2012-04-03 12:31:05,0,3,b04a673ca1e622052c9e6b344df3e06e.jpg,5.6,800,400,12:31:05
+1.0,2012-04-03,2012-04-03 09:42:20,0,3,6fc660cafff47d2eef976e5e728d3ec5.jpg,5.6,800,400,09:42:20
+1.0,2013-02-20,2013-02-20 12:13:37,1,1,2297037ea3ee754c412f3f3cc4c2fd39.jpg,5.6,800,160,12:13:37
+1.0,2013-02-26,2013-02-26 12:11:05,1,1,cb72ed1eb79c51e4e7f81e6eaffddc4a.jpg,5.6,800,200,12:11:05
+1.0,2012-02-23,2012-02-23 14:58:48,0,3,e8dd2beb0f0b84764f8eac3f2f333d43.jpg,5.6,800,400,14:58:48
+1.0,2012-03-20,2012-03-20 09:45:49,0,3,22ac38d4757cdfa1aa50fc6b434607a0.jpg,5.6,800,400,09:45:49
+1.0,2012-03-08,2012-03-08 10:46:20,0,3,2cc843efb8c01aabd01766debec50e45.jpg,5.6,800,400,10:46:20
+1.0,2013-01-28,2013-01-28 12:38:50,1,1,c6bd1da93a31801350bb1abb4a532cad.jpg,5.6,800,100,12:38:50
+1.0,2012-04-03,2012-04-03 11:06:17,0,3,c049a53a8bd2a3b3b5c884792c9f122c.jpg,5.6,800,400,11:06:17
+1.0,2012-04-03,2012-04-03 09:34:58,0,3,e006b276fd6e42c07c50b570d0ff6a1c.jpg,5.6,800,400,09:34:58
+1.0,2012-04-03,2012-04-03 09:38:45,0,3,0ff016469eff50096c8ff9bf245b4b93.jpg,5.6,800,400,09:38:45
+1.0,2012-03-20,2012-03-20 12:29:09,0,3,31395407a78c9f3f3d91f9d7ebe230e7.jpg,5.6,800,400,12:29:09
+1.0,2013-02-26,2013-02-26 12:10:55,1,1,d41a45ffc7e3f954e72a68e3c295fb3f.jpg,5.6,800,160,12:10:55
+1.0,2012-04-03,2012-04-03 09:37:58,0,3,89b59c8bab6a6d9a4c88b7671b649aad.jpg,5.6,800,400,09:37:58
+1.0,2013-02-20,2013-02-20 12:03:01,1,1,aaa7eaec6b61c60587751e7b8388764b.jpg,5.6,800,160,12:03:01
+1.0,2012-04-03,2012-04-03 11:08:06,0,3,fb4bd40b860c168336a8e521fcb8c02d.jpg,5.6,800,400,11:08:06
+1.0,2013-01-29,2013-01-29 12:10:32,1,1,db2b02a73c2ada4c61c6123b47dab02a.jpg,5.6,800,100,12:10:32
+1.0,2012-03-20,2012-03-20 09:46:37,0,3,0fd40571b08abb59e48cdf4fe0d4bfff.jpg,5.6,800,400,09:46:37
+1.0,2013-01-29,2013-01-29 12:27:42,1,1,0cdf61c2902b1cc894941cf669f71e8d.jpg,5.6,800,100,12:27:42
+1.0,2013-01-28,2013-01-28 12:34:20,1,1,bf3cf312b4a9bcab8aaf6b91cc1a85a0.jpg,5.6,800,100,12:34:20
+1.0,2012-04-03,2012-04-03 09:40:59,0,3,b0b5e8b5b71de132585f4bd137cd8689.jpg,5.6,800,400,09:40:59
+1.0,2013-02-13,2013-02-13 12:33:30,1,1,5960b893c2623600fd4f3b64c749823b.jpg,5.6,800,100,12:33:30
+1.0,2013-01-28,2013-01-28 12:40:04,1,1,751b9600597fb9f206a196ec33341008.jpg,5.6,800,100,12:40:04
+1.0,2013-01-29,2013-01-29 16:30:29,1,1,334f8671104a3a54d1b8ed447ed6ee34.jpg,5.6,800,320,16:30:29
+1.0,2012-04-03,2012-04-03 11:12:11,0,3,c5d1b9f1ff0253805cf4ec9bede28cc5.jpg,5.6,800,400,11:12:11
+1.0,2012-03-08,2012-03-08 12:10:17,0,3,580d6884ce8c2cb01d6a86e9a0a7714e.jpg,5.6,800,400,12:10:17
+1.0,2013-01-29,2013-01-29 12:18:00,1,1,d161a384f0582e128d5022083ce53fd8.jpg,5.6,800,100,12:18:00
+1.0,2013-01-29,2013-01-29 16:31:32,1,1,3a05905b5d9701080eb6e956a1995575.jpg,5.6,800,320,16:31:32
+1.0,2012-03-20,2012-03-20 09:44:50,0,3,3eed341ca023d54379ad58d60d6fa125.jpg,5.6,800,400,09:44:50
+1.0,2012-04-03,2012-04-03 11:04:07,0,3,68529957ab307a17694d7d1cb0c73d14.jpg,5.6,800,400,11:04:07
+1.0,2013-02-19,2013-02-19 16:32:47,1,1,70b7d5d002255b6e6e66a443286a9c6c.jpg,5.6,800,320,16:32:47
+1.0,2013-02-26,2013-02-26 12:29:01,1,1,8ff76b82b552492a026d79e2a7a1aeda.jpg,5.6,800,200,12:29:01
+1.0,2012-03-20,2012-03-20 12:30:18,0,3,b0a3fef28cf36cf306a17956826dab71.jpg,5.6,800,400,12:30:18
+1.0,2013-02-26,2013-02-26 12:16:26,1,1,5a21eed86ef51506aab2ad5748ddd887.jpg,5.6,800,160,12:16:26
+1.0,2012-04-03,2012-04-03 11:10:14,0,3,66b6436ba285916b33c7af708e651105.jpg,5.6,800,400,11:10:14
+1.0,2012-03-06,2012-03-06 13:28:06,0,3,69fd48ca4b903075b7fb11144b60c34e.jpg,5.6,800,400,13:28:06
+1.0,2012-04-03,2012-04-03 09:41:07,0,3,b0cc228dbe4ac1854b3f3a697e92296f.jpg,5.6,800,400,09:41:07
+1.0,2013-02-20,2013-02-20 12:10:56,1,1,cd22fc33635c3967f8e9819a033fdaa7.jpg,5.6,800,200,12:10:56
+1.0,2012-04-03,2012-04-03 11:10:50,0,3,b3501f5ff4eca03c18d05332d63d9a02.jpg,5.6,800,400,11:10:50
+1.0,2013-01-29,2013-01-29 12:25:13,1,1,fb7b460134ac0f4348458202ce72179f.jpg,5.6,800,100,12:25:13
+1.0,2013-02-20,2013-02-20 12:14:46,1,1,43d34c5abe9d138f884432295002875d.jpg,5.6,800,125,12:14:46
+1.0,2013-02-20,2013-02-20 12:25:07,1,1,588375a60f29ba48bbb3af4266c59b66.jpg,5.6,800,100,12:25:07
+1.0,2013-01-28,2013-01-28 12:38:50,1,1,800e0e7cd5cea03c3d2b190b1cf18703.jpg,5.6,800,100,12:38:50
+1.0,2012-04-03,2012-04-03 09:45:03,0,3,21a537763f6fe9ac46f84e3b314f3ccd.jpg,5.6,800,400,09:45:03
+1.0,2013-01-28,2013-01-28 12:40:54,1,1,fcf23d2da755779cbc2ab80c28d8c7a9.jpg,5.6,800,100,12:40:54
+1.0,2012-04-03,2012-04-03 11:06:22,0,3,05a46f5b1c5107f4547f608d06731aa2.jpg,5.6,800,400,11:06:22
+1.0,2013-01-28,2013-01-28 12:39:07,1,1,28e4a6478e8bfe3e53dd0347d770a284.jpg,5.6,800,100,12:39:07
+1.0,2013-01-28,2013-01-28 12:38:41,1,1,0dad542508c9246f8d8e73ae8e389634.jpg,5.6,800,100,12:38:41
+1.0,2012-03-06,2012-03-06 13:31:24,0,3,1995e473eecb04d24f873aa97ab8ef65.jpg,5.6,800,400,13:31:24
+1.0,2013-02-19,2013-02-19 16:25:14,1,1,e39f659fadf41b637a388c45ec143471.jpg,5.6,800,500,16:25:14
+1.0,2013-02-26,2013-02-26 12:14:32,1,1,35b1d945f7cc337c900280cb5f3c0cfc.jpg,5.6,800,200,12:14:32
+1.0,2013-02-13,2013-02-13 13:06:42,1,1,3198032bfc252c97748ca90e319f249a.jpg,5.6,800,100,13:06:42
+1.0,2013-02-20,2013-02-20 12:17:26,1,1,067e5ed93276a5fcf973a8d96c5d621f.jpg,5.6,800,100,12:17:26
+1.0,2012-02-23,2012-02-23 14:54:49,0,3,6f4978f9a8b1d9f59da0c135069fa92c.jpg,5.6,800,400,14:54:49
+1.0,2012-03-20,2012-03-20 11:04:12,0,3,f4ed19599ad7fa8590f92f4f7078ab69.jpg,5.6,800,400,11:04:12
+1.0,2012-04-03,2012-04-03 09:40:59,0,3,b252afc49d178569dff52094ac0eb996.jpg,5.6,800,400,09:40:59
+1.0,2013-01-28,2013-01-28 12:33:38,1,1,fc0f2aaaa97f5f265c38823001d4dc0b.jpg,5.6,800,100,12:33:38
+1.0,2012-03-20,2012-03-20 13:59:21,0,3,adb11bead0d48e30d97b74ab3fa67634.jpg,5.6,800,400,13:59:21
+1.0,2013-02-26,2013-02-26 12:11:05,1,1,72e042eef47ae022c9d3807c02eca4c6.jpg,5.6,800,200,12:11:05
+1.0,2012-04-03,2012-04-03 09:35:50,0,3,fa5556e35e862423ecaf4776f74cb8b0.jpg,5.6,800,400,09:35:50
+1.0,2013-01-29,2013-01-29 12:20:53,1,1,67b877ab1666795748c522a0fb5e6311.jpg,5.6,800,100,12:20:53
+1.0,2013-01-29,2013-01-29 16:27:32,1,1,b2382aa2834fd3d696b00189241b9dd3.jpg,5.6,800,250,16:27:32
+1.0,2013-01-28,2013-01-28 12:36:12,1,1,334718d658847512a077c9d561f59fc7.jpg,5.6,800,100,12:36:12
+1.0,2012-03-22,2012-03-22 11:08:20,0,3,0c255170887bc2089674051cb1d7c063.jpg,5.6,800,400,11:08:20
+1.0,2013-01-29,2013-01-29 12:17:54,1,1,96d939555bfe4f8a7f6aecd4063ec8bc.jpg,5.6,800,100,12:17:54
+1.0,2013-02-13,2013-02-13 13:17:31,1,1,8ac415e87eca0b7547e5df451a8889a3.jpg,5.6,800,100,13:17:31
+1.0,2013-02-20,2013-02-20 12:03:02,1,1,93b80ba3dde3d57e339efcdb611f32ac.jpg,5.6,800,160,12:03:02
+1.0,2012-03-20,2012-03-20 13:56:54,0,3,864b51beba5d84d8c0a403bfdc614b79.jpg,5.6,800,400,13:56:54
+1.0,2012-03-20,2012-03-20 11:08:17,0,3,5487e47ee8bba46bc7c88647b3d928cf.jpg,5.6,800,400,11:08:17
+1.0,2013-02-13,2013-02-13 12:08:07,1,1,2536185adbea584a8ba3c092a53f7287.jpg,5.6,800,100,12:08:07
+1.0,2013-02-19,2013-02-19 16:18:09,1,1,09356a7446e19d7c96bbe3c9516ea9cc.jpg,5.6,800,320,16:18:09
+1.0,2012-03-08,2012-03-08 12:10:06,0,3,a0e277fe8847f1c558d639b4ab0aa710.jpg,5.6,800,400,12:10:06
+1.0,2012-04-03,2012-04-03 11:06:42,0,3,3deb287774629715c5a9a6f60dc32153.jpg,5.6,800,400,11:06:42
+1.0,2013-02-13,2013-02-13 12:19:47,1,1,bd1dc56d289da2be39bf5400e7ddb722.jpg,5.6,800,100,12:19:47
+1.0,2012-03-22,2012-03-22 11:08:31,0,3,5d109d45f51c914dd992cdf5e4e84c00.jpg,5.6,800,400,11:08:31
+1.0,2013-02-19,2013-02-19 16:33:23,1,1,2bdd874ec9d4fbee0e09e1df3c657100.jpg,5.6,800,320,16:33:23
+1.0,2012-03-20,2012-03-20 15:24:12,0,3,097bb5f2e384e3c13d3f4b001dc455de.jpg,5.6,800,400,15:24:12
+1.0,2012-03-20,2012-03-20 15:25:06,0,3,eafaaf36fdc47c56e9cb516e1c5147bc.jpg,5.6,800,400,15:25:06
+1.0,2013-01-28,2013-01-28 12:35:35,1,1,297a8b4c5efbc8830d9d9acd40c489d3.jpg,5.6,800,100,12:35:35
+1.0,2013-02-20,2013-02-20 12:14:02,1,1,fcde28acf28d8d7632ad1a247ce72094.jpg,5.6,800,160,12:14:02
+1.0,2012-03-20,2012-03-20 15:23:12,0,3,c9a79e25f5093980ce11fcb764cbfef6.jpg,5.6,800,400,15:23:12
+1.0,2012-04-03,2012-04-03 09:37:00,0,3,afecb5dbef10b2219f680f7247eb9400.jpg,5.6,800,400,09:37:00
+1.0,2013-02-20,2013-02-20 12:06:05,1,1,16a0b69022e861145fa2f33582c3150f.jpg,5.6,800,200,12:06:05
+1.0,2013-02-19,2013-02-19 16:14:46,1,1,9c02a8e605082228970046400f7210a0.jpg,5.6,800,250,16:14:46
+1.0,2012-03-20,2012-03-20 15:25:01,0,3,635a76a81316aa1d6695f7fdaae1e493.jpg,5.6,800,400,15:25:01
+1.0,2012-04-03,2012-04-03 09:43:57,0,3,65ea82bf501d871c21ce9854b4f7004f.jpg,5.6,800,400,09:43:57
+1.0,2013-01-28,2013-01-28 12:40:23,1,1,3960a9d2070dbd68ad1a26a2358488d2.jpg,5.6,800,100,12:40:23
+1.0,2013-01-28,2013-01-28 12:38:35,1,1,5fd34d69f831e5780ed99a4b96df6ebe.jpg,5.6,800,100,12:38:35
+1.0,2012-03-20,2012-03-20 15:23:54,0,3,ed5dea9a10912a44b7b8638aca0717f9.jpg,5.6,800,400,15:23:54
+1.0,2012-03-20,2012-03-20 15:23:08,0,3,0984aecc2cb6af4709bb1632f987af8e.jpg,5.6,800,400,15:23:08
+1.0,2013-02-13,2013-02-13 13:29:57,1,1,d528df770abb9d1985652c2d3fa1c917.jpg,5.6,800,100,13:29:57
+1.0,2012-04-03,2012-04-03 11:13:10,0,3,1083ffdabe5d15be0134aed16d544415.jpg,5.6,800,400,11:13:10
+1.0,2013-01-28,2013-01-28 12:38:53,1,1,60fd60a3903509d3e82351ae63133d5e.jpg,5.6,800,100,12:38:53
+1.0,2012-04-03,2012-04-03 09:36:30,0,3,bf533ce1e9287e41e5e8e9f42388d696.jpg,5.6,800,400,09:36:30
+1.0,2013-01-28,2013-01-28 12:41:53,1,1,9f5d110bcac5a0d19431684cf5e20c50.jpg,5.6,800,100,12:41:53
+1.0,2013-01-28,2013-01-28 12:41:35,1,1,4e38dec6656ddfc1c3f6983e33113c96.jpg,5.6,800,100,12:41:35
+1.0,2012-03-08,2012-03-08 10:46:25,0,3,8bdfd207c22792d3ad71d6ec5d891e92.jpg,5.6,800,400,10:46:25
+1.0,2013-01-28,2013-01-28 12:34:19,1,1,dbc47ba8e7714c70ca164f7ce0873727.jpg,5.6,800,100,12:34:19
+1.0,2012-03-22,2012-03-22 11:04:50,0,3,22821f18bed9f17426c2c092aff037a1.jpg,5.6,800,400,11:04:50
+1.0,2012-03-20,2012-03-20 13:57:57,0,3,b7c5bfcae228e0c9a3bba713338cad6e.jpg,5.6,800,400,13:57:57
+1.0,2013-01-29,2013-01-29 16:33:13,1,1,d6dea015dcbffc5579e8dcbf75e72bd4.jpg,5.6,800,320,16:33:13
+1.0,2012-04-03,2012-04-03 11:10:49,0,3,c258f46f738b0a8ba67898c1c006b6aa.jpg,5.6,800,400,11:10:49
+1.0,2012-04-03,2012-04-03 09:45:00,0,3,be3f196b95b629455b72bd27f92247ae.jpg,5.6,800,400,09:45:00
+1.0,2013-02-20,2013-02-20 12:13:57,1,1,e76d45dfd8143712e51a6e2ecc771bb9.jpg,5.6,800,125,12:13:57
+1.0,2013-01-29,2013-01-29 12:18:10,1,1,c3bd86bac38032878a4b87f76e03627f.jpg,5.6,800,100,12:18:10
+1.0,2012-04-03,2012-04-03 11:05:01,0,3,77577808f9c8a953fce8a154eec2d08d.jpg,5.6,800,400,11:05:01
+1.0,2013-02-26,2013-02-26 12:19:57,1,1,2b5957eb33e66dec8e481a79c1306d39.jpg,5.6,800,200,12:19:57
+1.0,2013-01-28,2013-01-28 12:42:18,1,1,2228d3fd5acf89669ca5b30741c7daaf.jpg,5.6,800,100,12:42:18
+1.0,2013-02-20,2013-02-20 12:26:00,1,1,d755d50341f58ea4160ffccfac0372bc.jpg,5.6,800,100,12:26:00
+1.0,2012-04-03,2012-04-03 09:36:50,0,3,6430ae3c6534a48638539e5f169a0803.jpg,5.6,800,400,09:36:50
+1.0,2013-02-26,2013-02-26 12:04:25,1,1,a5531d11a464778b8f09a87a667b1a5e.jpg,5.6,800,160,12:04:25
+1.0,2012-03-20,2012-03-20 09:44:40,0,3,c6509d2da6e72e9c57a6f8d3530dc41b.jpg,5.6,800,400,09:44:40
+1.0,2013-02-13,2013-02-13 12:32:27,1,1,64cfd83f9c722e58f5e828e4da485010.jpg,5.6,800,100,12:32:27
+1.0,2012-03-20,2012-03-20 12:34:55,0,3,212e9f59f9990177fdb31141c80a212f.jpg,5.6,800,400,12:34:55
+1.0,2012-03-20,2012-03-20 11:08:21,0,3,e73ec815361e6e0aa49d28798f1a3e09.jpg,5.6,800,400,11:08:21
+1.0,2013-01-29,2013-01-29 12:17:13,1,1,054639f9a4787a79531b8eecc80d72f0.jpg,5.6,800,100,12:17:13
+1.0,2013-02-26,2013-02-26 12:08:22,1,1,f12fb822cd56e6e2fa00e0b115531c14.jpg,5.6,800,200,12:08:22
+1.0,2012-04-03,2012-04-03 12:33:34,0,3,b3d74478ef3742613de101a354546d3d.jpg,5.6,800,400,12:33:34
+1.0,2013-01-28,2013-01-28 12:34:15,1,1,5826244d66bd8809387bf1d9dd48fbee.jpg,5.6,800,100,12:34:15
+1.0,2012-04-03,2012-04-03 09:44:57,0,3,61432adf31a684741d012acda465c20c.jpg,5.6,800,400,09:44:57
+1.0,2013-01-29,2013-01-29 12:27:43,1,1,5855a6c689abf2a309baa948fda3480f.jpg,5.6,800,100,12:27:43
+1.0,2013-02-19,2013-02-19 16:31:32,1,1,54919236dd0ca94c9f6d3677aa24ec9a.jpg,5.6,800,320,16:31:32
+1.0,2012-03-08,2012-03-08 10:48:21,0,3,a62e927dccc9cf8f3e4e87195171b093.jpg,5.6,800,400,10:48:21
+1.0,2012-04-03,2012-04-03 09:43:50,0,3,38d3f30c34d791b1b09d78abaad2b5dd.jpg,5.6,800,400,09:43:50
+1.0,2013-01-28,2013-01-28 12:41:39,1,1,10e8b375d0f15cb4971ee3ca02b17185.jpg,5.6,800,100,12:41:39
+1.0,2013-01-29,2013-01-29 12:19:58,1,1,897bf7c268adedabc52da2caff83cefd.jpg,5.6,800,100,12:19:58
+1.0,2013-02-19,2013-02-19 16:28:15,1,1,d62f9a4aef3e8762ac7edd73c8834283.jpg,5.6,800,320,16:28:15
+1.0,2013-02-13,2013-02-13 13:15:36,1,1,d7e489723f5129120123a70072a2db89.jpg,5.6,800,100,13:15:36
+1.0,2012-04-03,2012-04-03 09:43:41,0,3,ee216b29092eb3220e5162c74b89feeb.jpg,5.6,800,400,09:43:41
+1.0,2013-02-13,2013-02-13 12:00:09,1,1,ca0768c28a0a96a853f4629c3c32f744.jpg,5.6,800,100,12:00:09
+1.0,2012-04-03,2012-04-03 12:35:07,0,3,871ffe19cecc83bd389841bab06c19a2.jpg,5.6,800,400,12:35:07
+1.0,2013-01-29,2013-01-29 12:33:48,1,1,a6683c2cc7cedc568518c9bf3dedfcc1.jpg,5.6,800,100,12:33:48
+1.0,2013-02-19,2013-02-19 16:28:41,1,1,821529ebd9331ce15dc92c5ad1aa64d7.jpg,5.6,800,320,16:28:41
+1.0,2013-02-13,2013-02-13 13:00:58,1,1,5d34e27412d1c7308c79204968abe9fa.jpg,5.6,800,100,13:00:58
+1.0,2012-03-22,2012-03-22 14:00:51,0,3,c28d9667ea9b0d0ae54580c51c167b65.jpg,5.6,800,400,14:00:51
+1.0,2012-03-20,2012-03-20 12:33:37,0,3,9a4c327069e9703e43e620038159cd0e.jpg,5.6,800,400,12:33:37
+1.0,2012-04-03,2012-04-03 09:40:45,0,3,beebde7a1b97470e282fb31d83dd4aae.jpg,5.6,800,400,09:40:45
+1.0,2013-01-29,2013-01-29 12:11:52,1,1,2d9780c7a1192c31b4406140a5c6b17c.jpg,5.6,800,100,12:11:52
+1.0,2012-04-03,2012-04-03 11:07:58,0,3,e0c69250458dec5c928718c0e4ab4a13.jpg,5.6,800,400,11:07:58
+1.0,2013-01-29,2013-01-29 12:31:22,1,1,cd2e2aa74ec07b818738d3486b0f5390.jpg,5.6,800,100,12:31:22
+1.0,2012-04-03,2012-04-03 09:40:25,0,3,21c5675ee998d18d9b3ed5c5f4d0e927.jpg,5.6,800,400,09:40:25
+1.0,2013-01-29,2013-01-29 12:16:49,1,1,70984945cbed45b321c113d2550c6889.jpg,5.6,800,100,12:16:49
+1.0,2012-03-06,2012-03-06 13:32:09,0,3,bac4dcef96e34f9768a5ccdcc892f1c4.jpg,5.6,800,400,13:32:09
+1.0,2013-01-29,2013-01-29 12:12:34,1,1,f40dc3460966d75d6821fd962958bc4f.jpg,5.6,800,100,12:12:34
+1.0,2013-02-20,2013-02-20 12:07:02,1,1,e0aa8f83bf1a70fb684fb41ea648c173.jpg,5.6,800,160,12:07:02
+1.0,2013-01-28,2013-01-28 12:42:36,1,1,bbe27c41049694cc8d29401a7933b4a0.jpg,5.6,800,100,12:42:36
+1.0,2013-02-20,2013-02-20 12:25:22,1,1,ec1c0656860f69ab742316e75b0f40a4.jpg,5.6,800,100,12:25:22
+1.0,2013-02-19,2013-02-19 16:28:58,1,1,c02e24c0751de8caf3d153d2b362cb0d.jpg,5.6,800,320,16:28:58
+1.0,2013-02-26,2013-02-26 12:15:25,1,1,6f3c9c0d7d6d6547ec8762feb5ecee8f.jpg,5.6,800,200,12:15:25
+1.0,2012-02-23,2012-02-23 14:58:52,0,3,7eaaa1f8b42a79fa9a895e0afbf8bf1c.jpg,5.6,800,400,14:58:52
+1.0,2013-01-29,2013-01-29 16:30:37,1,1,c36faf6afe8930ad6cbe026b43c7af93.jpg,5.6,800,800,16:30:37
+1.0,2013-02-19,2013-02-19 16:30:52,1,1,311394d600f93b2fb223adec591b6d86.jpg,5.6,800,500,16:30:52
+1.0,2012-03-20,2012-03-20 11:09:19,0,3,a21b54cabbb16da9c3f8b2a3609242df.jpg,5.6,800,400,11:09:19
+1.0,2013-01-28,2013-01-28 12:36:05,1,1,718542fa135fa0a3ebf4eaf444da0927.jpg,5.6,800,100,12:36:05
+1.0,2013-01-29,2013-01-29 12:30:55,1,1,870aaa4b994833a4741be8bd463209c4.jpg,5.6,800,100,12:30:55
+1.0,2012-03-13,2012-03-13 11:13:24,0,3,b9b391d97aa26b7ba3655ea66d865d1c.jpg,5.6,800,400,11:13:24
+1.0,2013-02-13,2013-02-13 13:27:23,1,1,bff803e6352152911ce153ee69e515ec.jpg,5.6,800,100,13:27:23
+1.0,2013-02-19,2013-02-19 16:26:40,1,1,58d3d6d29929041a732669f98027097b.jpg,5.6,800,400,16:26:40
+1.0,2013-02-13,2013-02-13 13:06:58,1,1,3a36d0dfe4471b07859643a582460926.jpg,5.6,800,100,13:06:58
+1.0,2013-01-28,2013-01-28 12:37:40,1,1,ec94535df421d7b423361ea0208f4ae2.jpg,5.6,800,100,12:37:40
+1.0,2012-03-22,2012-03-22 11:07:02,0,3,a0200cde6e3c7e429e3238b3483b5a74.jpg,5.6,800,400,11:07:02
+1.0,2012-03-06,2012-03-06 13:29:14,0,3,b5748e93dd637749ae2c0f05ea138e9b.jpg,5.6,800,400,13:29:14
+1.0,2013-01-28,2013-01-28 12:34:45,1,1,fc14ad6e9925c5a07f79532bbf0f1abb.jpg,5.6,800,100,12:34:45
+1.0,2012-04-03,2012-04-03 12:33:08,0,3,dba34e8504dfef2a50891c30e0b9dfc8.jpg,5.6,800,400,12:33:08
+1.0,2012-04-03,2012-04-03 11:11:05,0,3,58ad885b1f69183f1f2fe75374bce348.jpg,5.6,800,400,11:11:05
+1.0,2012-03-08,2012-03-08 10:47:42,0,3,8d31301896a3c19527d52e4e4abfd884.jpg,5.6,800,400,10:47:42
+1.0,2013-02-26,2013-02-26 12:09:13,1,1,cced98c6bffaa5ee63c65f4a91a70c2c.jpg,5.6,800,200,12:09:13
+1.0,2013-02-19,2013-02-19 16:31:03,1,1,b66a2fc329264e7330474ef427252ef9.jpg,5.6,800,320,16:31:03
+1.0,2012-04-03,2012-04-03 09:39:47,0,3,547639a77a42ceddc2e8b3ea65fc1ba1.jpg,5.6,800,400,09:39:47
+1.0,2012-03-06,2012-03-06 13:28:13,0,3,8a8c4ab5fc4de7598f1262659e098b53.jpg,5.6,800,400,13:28:13
+1.0,2013-02-20,2013-02-20 12:11:44,1,1,8340b1aa0e5a2daa9a8ff4c7541875e3.jpg,5.6,800,160,12:11:44
+1.0,2012-03-20,2012-03-20 12:35:18,0,3,b654d8163b5cee23b59b41bd00f8596e.jpg,5.6,800,400,12:35:18
+1.0,2013-02-13,2013-02-13 12:56:32,1,1,7ef13a971917740f4c9c2584253c49ee.jpg,5.6,800,100,12:56:32
+1.0,2013-01-29,2013-01-29 16:21:10,1,1,b04cd4ffbc20a39b39f56da838dc2831.jpg,5.6,800,250,16:21:10
+1.0,2013-02-19,2013-02-19 16:23:37,1,1,e83f34eeaed0d5e2ddd72f56ebf2f1b5.jpg,5.6,800,320,16:23:37
+1.0,2012-03-08,2012-03-08 12:13:16,0,3,3f41fd8732a416e159aa18262a68f806.jpg,5.6,800,400,12:13:16
+1.0,2012-03-20,2012-03-20 12:29:41,0,3,d8ce3da07dea42cd3abb66a6cf13121b.jpg,5.6,800,400,12:29:41
+1.0,2013-01-29,2013-01-29 12:31:08,1,1,427633ef27c211ae2534dd09bd2a4f73.jpg,5.6,800,100,12:31:08
+1.0,2013-01-29,2013-01-29 16:34:25,1,1,ce5fab72f467a579577dcea897340fd9.jpg,5.6,800,800,16:34:25
+1.0,2013-02-19,2013-02-19 16:21:39,1,1,5a193529e5292d013408fa872bc5ad13.jpg,5.6,800,400,16:21:39
+1.0,2012-04-03,2012-04-03 11:06:32,0,3,01b9c4dd94336eb9069d0d77133ee04a.jpg,5.6,800,400,11:06:32
+1.0,2013-02-19,2013-02-19 16:30:46,1,1,dace688d680db60c05cfeccd4096153c.jpg,5.6,800,320,16:30:46
+1.0,2012-03-08,2012-03-08 12:12:28,0,3,e616a7b4d1c44e64b9c23b75e9b18236.jpg,5.6,800,400,12:12:28
+1.0,2012-02-23,2012-02-23 14:54:50,0,3,751aa435da92463e04b224351f4906d3.jpg,5.6,800,400,14:54:50
+1.0,2013-01-28,2013-01-28 12:33:04,1,1,2b9ce94a804de60e351c1428e322ba85.jpg,5.6,800,100,12:33:04
+1.0,2013-02-13,2013-02-13 12:01:42,1,1,16bdd9908e5881a422d30dd1bcc568c5.jpg,5.6,800,100,12:01:42
+1.0,2013-02-20,2013-02-20 12:15:37,1,1,556264a886e8cf7d4ded29e403671745.jpg,5.6,800,125,12:15:37
+1.0,2013-02-26,2013-02-26 12:09:10,1,1,c4cecbc00c78229c43e970585122b4f9.jpg,5.6,800,200,12:09:10
+1.0,2013-01-28,2013-01-28 12:34:40,1,1,98181674e0c18eef1a2078b1e1c3a9fe.jpg,5.6,800,100,12:34:40
+1.0,2012-04-26,2012-04-26 11:09:49,0,3,9fc37d35d09d3563ac4dcf939f05662c.jpg,5.6,800,400,11:09:49
+1.0,2012-03-20,2012-03-20 11:09:31,0,3,220bf9fb50af4c27cfe4f2d92c4e946b.jpg,5.6,800,400,11:09:31
+1.0,2012-04-25,2012-04-25 11:01:42,0,3,9169a6b213ffb90ae9ba4cef9dbc474a.jpg,5.6,800,400,11:01:42
+1.0,2012-04-03,2012-04-03 09:38:20,0,3,0e9bd799d96c886e5acdc59b5effce84.jpg,5.6,800,400,09:38:20
+1.0,2013-01-29,2013-01-29 12:14:58,1,1,02976ae777568398d7f43045edaa72a5.jpg,5.6,800,100,12:14:58
+1.0,2013-02-20,2013-02-20 12:12:10,1,1,9b3c70bd55d1004b248606ce4328ccf0.jpg,5.6,800,160,12:12:10
+1.0,2012-04-03,2012-04-03 09:45:01,0,3,78c897dc1b038ed8910043200e095027.jpg,5.6,800,400,09:45:01
+1.0,2013-01-29,2013-01-29 12:34:23,1,1,c59a322536bb602e88b9861ff655686b.jpg,5.6,800,100,12:34:23
+1.0,2012-04-03,2012-04-03 09:35:45,0,3,047207acf16e132db6484b66f6999901.jpg,5.6,800,400,09:35:45
+1.0,2013-02-20,2013-02-20 12:34:55,1,1,485d1dbe7554a49daf58b4f4ca5c22ab.jpg,5.6,800,100,12:34:55
+1.0,2012-03-22,2012-03-22 11:10:39,0,3,a790085ff1b8df518a6875a56c25fdf5.jpg,5.6,800,400,11:10:39
+1.0,2012-03-08,2012-03-08 14:54:43,0,3,746e1eb2d0bc2aebda6c2f2e9beaeb93.jpg,5.6,800,400,14:54:43
+1.0,2013-01-29,2013-01-29 16:24:40,1,1,62fab9c585ff28f08d44919057a8a4bc.jpg,5.6,800,400,16:24:40
+1.0,2012-03-20,2012-03-20 11:04:11,0,3,f2fe112e5996473598c7af8b27be4f0d.jpg,5.6,800,400,11:04:11
+1.0,2013-01-28,2013-01-28 12:34:09,1,1,4b7684381f6f350ebe163431eb99559e.jpg,5.6,800,100,12:34:09
+1.0,2012-03-13,2012-03-13 11:09:31,0,3,a2359c819fc1e3e40378a33a57e55a96.jpg,5.6,800,400,11:09:31
+1.0,2013-02-13,2013-02-13 12:23:59,1,1,ab2b1cac9366b1dd0c7c337a675f1408.jpg,5.6,800,100,12:23:59
+1.0,2012-04-03,2012-04-03 11:12:05,0,3,465974cc8d18046684b1e604b93627f2.jpg,5.6,800,400,11:12:05
+1.0,2012-04-03,2012-04-03 11:06:55,0,3,f40144e27df9f42288a3e37ab5c4c488.jpg,5.6,800,400,11:06:55
+1.0,2013-01-28,2013-01-28 12:33:58,1,1,38f6718a1bd9d28f202ebc94b8d38b9d.jpg,5.6,800,100,12:33:58
+1.0,2013-02-13,2013-02-13 13:13:25,1,1,63e58efb7c2d62325ee4da2a1954cd6d.jpg,5.6,800,100,13:13:25
+1.0,2013-01-29,2013-01-29 16:22:12,1,1,4cdcd89dee08311dcc32ed0d4e91969f.jpg,5.6,800,400,16:22:12
+1.0,2012-04-03,2012-04-03 11:06:44,0,3,c7fe84cdcd63ba08c4b47759e11b5a6b.jpg,5.6,800,400,11:06:44
+1.0,2013-02-20,2013-02-20 12:26:21,1,1,3ea3d9bb538ff781523b110da1233cc4.jpg,5.6,800,100,12:26:21
+1.0,2013-02-26,2013-02-26 12:16:24,1,1,d3feca7a28f782550575251bd0e89d7a.jpg,5.6,800,160,12:16:24
+1.0,2013-02-13,2013-02-13 12:47:28,1,1,c143be62ab01eac5d58bd7811978cb51.jpg,5.6,800,100,12:47:28
+1.0,2013-02-13,2013-02-13 13:30:12,1,1,6f93f3f9a06f5d43abc2f9ddb3b90aee.jpg,5.6,800,100,13:30:12
+1.0,2013-02-20,2013-02-20 12:19:26,1,1,8253836f35cdf96c494b86aa6cc7885d.jpg,5.6,800,100,12:19:26
+1.0,2013-02-26,2013-02-26 12:28:43,1,1,18d81f3c03651cced6ed9ff6c4c587dd.jpg,5.6,800,200,12:28:43
+1.0,2013-02-20,2013-02-20 12:16:43,1,1,5e48936c12e96bfd8bd26868a10395cd.jpg,5.6,800,125,12:16:43
+1.0,2013-01-29,2013-01-29 16:30:50,1,1,dd87897ba772483d55ae6c49f39cc9c3.jpg,5.6,800,320,16:30:50
+1.0,2013-02-20,2013-02-20 12:02:20,1,1,ddb38ad33492a969af1126e44a0f028c.jpg,5.6,800,160,12:02:20
+1.0,2012-03-08,2012-03-08 12:12:05,0,3,fd43ba9abc62740f3f5e4e14d4bbb180.jpg,5.6,800,400,12:12:05
+1.0,2013-01-29,2013-01-29 12:27:40,1,1,8c70bddcddee5a61c9e95a4a1f752918.jpg,5.6,800,100,12:27:40
+1.0,2013-02-19,2013-02-19 16:21:36,1,1,6d554960596513b69d3066b70fb19236.jpg,5.6,800,320,16:21:36
+1.0,2013-01-29,2013-01-29 12:09:27,1,1,ce1024744be0586b9cc74d569b431649.jpg,5.6,800,100,12:09:27
+1.0,2013-01-29,2013-01-29 16:23:43,1,1,9c1dc78c426abf734dc0b961ec13c269.jpg,5.6,800,320,16:23:43
+1.0,2013-02-20,2013-02-20 12:07:26,1,1,c10779e8fd596a36b65fb9cda1b8e033.jpg,5.6,800,250,12:07:26
+1.0,2013-01-28,2013-01-28 12:34:17,1,1,daab31d3e347db9b2f8865202e10ad76.jpg,5.6,800,100,12:34:17
+1.0,2013-02-13,2013-02-13 12:32:32,1,1,0310a291fc6dc7c06c5af8b944240ee0.jpg,5.6,800,100,12:32:32
+1.0,2013-02-26,2013-02-26 12:10:33,1,1,a3a51d8361d9a1998a669fc20d223026.jpg,5.6,800,200,12:10:33
+1.0,2012-03-22,2012-03-22 13:57:56,0,3,edeef80ae950b7f45412858887ba8a64.jpg,5.6,800,400,13:57:56
+1.0,2013-01-29,2013-01-29 12:10:26,1,1,de701026471eeade6e25c3e58cae096e.jpg,5.6,800,100,12:10:26
+1.0,2013-02-26,2013-02-26 12:21:27,1,1,8f3c1be048bcb73651c89d1b8c55f3ed.jpg,5.6,800,200,12:21:27
+1.0,2013-02-13,2013-02-13 13:26:36,1,1,a1be257b1c026435e7e004885dc5a9f1.jpg,5.6,800,100,13:26:36
+1.0,2012-03-20,2012-03-20 09:42:12,0,3,5352ca8d7072f7037d2ae9e7e7f7249e.jpg,5.6,800,400,09:42:12
+1.0,2012-03-20,2012-03-20 11:04:15,0,3,4bbf44157ebe5d93acd441474a0cdd34.jpg,5.6,800,400,11:04:15
+1.0,2013-01-28,2013-01-28 12:34:20,1,1,e16331a619d5dc06748467f52e724b76.jpg,5.6,800,100,12:34:20
+1.0,2013-02-26,2013-02-26 12:13:05,1,1,4d0e9310eabb5c5786c9478e719b50e7.jpg,5.6,800,160,12:13:05
+1.0,2013-01-29,2013-01-29 12:27:28,1,1,98a8c703118db7fb6d4ffe19e4722512.jpg,5.6,800,100,12:27:28
+1.0,2013-02-20,2013-02-20 12:10:21,1,1,1100a9f2504da0623a1df714f2cb4d32.jpg,5.6,800,160,12:10:21
+1.0,2012-04-03,2012-04-03 09:37:44,0,3,48c4354c3b53c8bd3a03b93727057d89.jpg,5.6,800,400,09:37:44
+1.0,2013-02-13,2013-02-13 12:19:54,1,1,579d9003fddc56ab4094c318cc82b7a2.jpg,5.6,800,100,12:19:54
+1.0,2013-02-19,2013-02-19 16:28:47,1,1,57ba5096ccd244d6c071d3685f8e01af.jpg,5.6,800,320,16:28:47
+1.0,2012-03-20,2012-03-20 11:08:49,0,3,912cc4a77037a653610e796fbdeee86c.jpg,5.6,800,400,11:08:49
+1.0,2013-02-20,2013-02-20 12:09:28,1,1,9b822f5749e1f492f8f7eaa0696c630c.jpg,5.6,800,200,12:09:28
+1.0,2012-04-03,2012-04-03 09:35:36,0,3,7ef7fa173f53c6b28a4b40a77634a6bb.jpg,5.6,800,400,09:35:36
+1.0,2013-01-29,2013-01-29 16:21:24,1,1,e18ccbd9e38bb106b21e0673aecc44f4.jpg,5.6,800,200,16:21:24
+1.0,2012-03-20,2012-03-20 13:58:41,0,3,be2cbb8565b99dc414ed2801cbeec3f9.jpg,5.6,800,400,13:58:41
+1.0,2012-03-06,2012-03-06 13:28:59,0,3,bc6b9873909fa462f1bf1654e78fc69c.jpg,5.6,800,400,13:28:59
+1.0,2013-01-29,2013-01-29 12:08:26,1,1,659fceac7ae6a349444daf78f4a2107f.jpg,5.6,800,100,12:08:26
+1.0,2012-03-20,2012-03-20 13:57:26,0,3,d8a1d3e921cbcacd6158520573916c9a.jpg,5.6,800,400,13:57:26
+1.0,2012-03-20,2012-03-20 09:46:34,0,3,4f151c924aba6e515261813bf86b5656.jpg,5.6,800,400,09:46:34
+1.0,2012-04-03,2012-04-03 11:10:02,0,3,f0da56452903388dc9d67fd9c4909596.jpg,5.6,800,400,11:10:02
+1.0,2013-02-26,2013-02-26 12:09:13,1,1,da7100a19d7381460222c720cbd73282.jpg,5.6,800,200,12:09:13
+1.0,2012-03-22,2012-03-22 11:08:27,0,3,8ac911472ed8ef100a49194aed07c974.jpg,5.6,800,400,11:08:27
+1.0,2013-01-29,2013-01-29 16:27:00,1,1,165f99e683a192b7344030cb14514924.jpg,5.6,800,250,16:27:00
+1.0,2013-02-26,2013-02-26 12:08:39,1,1,bf67b421e2eb51252b6448ab7627e3ba.jpg,5.6,800,200,12:08:39
+1.0,2012-03-20,2012-03-20 09:44:31,0,3,285e4bc507882ae4698c2fb30aec5810.jpg,5.6,800,400,09:44:31
+1.0,2012-03-06,2012-03-06 13:30:04,0,3,2cf7cbca5cc3b04f8bf48e38f822e5ca.jpg,5.6,800,400,13:30:04
+1.0,2012-03-20,2012-03-20 15:24:05,0,3,58db4cd3bfb1e44b44fabaf3be338438.jpg,5.6,800,400,15:24:05
+1.0,2012-03-20,2012-03-20 12:32:09,0,3,35118594935ca91bf67aa6df222bff1b.jpg,5.6,800,400,12:32:09
+1.0,2013-01-29,2013-01-29 12:27:26,1,1,21ed7149b69d7fa278e671a2cb5c1e25.jpg,5.6,800,100,12:27:26
+1.0,2013-02-19,2013-02-19 16:14:49,1,1,0a21bb7635eaaf3818720d2208c34e7e.jpg,5.6,800,320,16:14:49
+1.0,2013-01-29,2013-01-29 16:27:29,1,1,ce10f8ef58713b9019042cbed5d75595.jpg,5.6,800,250,16:27:29
+1.0,2012-03-20,2012-03-20 15:22:58,0,3,50cb455245237bfc8ace47bafc202371.jpg,5.6,800,400,15:22:58
+1.0,2013-01-29,2013-01-29 16:27:59,1,1,de813bf06e96c1527ed07174de39fbd8.jpg,5.6,800,500,16:27:59
+1.0,2012-03-20,2012-03-20 09:42:07,0,3,8177e810508259391a32e336cda8b0eb.jpg,5.6,800,400,09:42:07
+1.0,2012-03-20,2012-03-20 12:35:07,0,3,feaef9e90959b14795bb04acf0a3dd8a.jpg,5.6,800,400,12:35:07
+1.0,2013-01-28,2013-01-28 12:38:18,1,1,65ff44f4f36d82fe2d02ef89a6ff614f.jpg,5.6,800,100,12:38:18
+1.0,2012-04-03,2012-04-03 11:11:59,0,3,d3cbc9f918ec2c7fd1abc910bcf327c2.jpg,5.6,800,400,11:11:59
+1.0,2012-03-20,2012-03-20 11:07:04,0,3,9658dda86104b32af2352010964995a3.jpg,5.6,800,400,11:07:04
+1.0,2012-03-22,2012-03-22 13:58:32,0,3,71e71399d0d8dbbb38a3860a804b1997.jpg,5.6,800,400,13:58:32
+1.0,2012-03-20,2012-03-20 09:41:01,0,3,bf043164a3ec1352e7b9759582f2f5b5.jpg,5.6,800,400,09:41:01
+1.0,2012-03-20,2012-03-20 09:47:30,0,3,da8822f57078a2ec7c162e99e16522d6.jpg,5.6,800,400,09:47:30
+1.0,2012-03-08,2012-03-08 10:46:07,0,3,2cac0a4d2813809fc43ba51d30605e01.jpg,5.6,800,400,10:46:07
+1.0,2013-02-20,2013-02-20 12:26:17,1,1,8debd80c65cba4c33351c49de72b9556.jpg,5.6,800,100,12:26:17
+1.0,2013-02-20,2013-02-20 12:23:58,1,1,d35e4f535e4a15a3740d1c4d712e1756.jpg,5.6,800,100,12:23:58
+1.0,2012-04-03,2012-04-03 11:04:53,0,3,6173463808fdb82035f0dab84db8bcb4.jpg,5.6,800,400,11:04:53
+1.0,2012-03-08,2012-03-08 14:58:07,0,3,37dc1395b4039bc71d97b05138ead7ad.jpg,5.6,800,400,14:58:07
+1.0,2012-03-20,2012-03-20 12:29:09,0,3,60aa9092249b9d79e96367539bfc2101.jpg,5.6,800,400,12:29:09
+1.0,2012-04-03,2012-04-03 09:39:26,0,3,420df7620c6d74f2a7ec2b11a5b3f8b2.jpg,5.6,800,400,09:39:26
+1.0,2012-03-08,2012-03-08 10:47:41,0,3,8ada1532102e6ef791d5316f47e9ffe8.jpg,5.6,800,400,10:47:41
+1.0,2012-03-22,2012-03-22 14:00:12,0,3,6f276e1fd00825d2dee4950c95789420.jpg,5.6,800,400,14:00:12
+1.0,2013-02-13,2013-02-13 12:07:59,1,1,2ec630b72b7de9822efc96775d5592dd.jpg,5.6,800,100,12:07:59
+1.0,2012-03-20,2012-03-20 09:42:19,0,3,c311e04ecde2d1b6b87abd936a38589d.jpg,5.6,800,400,09:42:19
+1.0,2013-02-19,2013-02-19 16:32:57,1,1,b988bfea9ee2a1429cca1236f89dd642.jpg,5.6,800,320,16:32:57
+1.0,2012-04-03,2012-04-03 11:10:54,0,3,8b566c48ad3f477f31c8f7b3d8ae94b5.jpg,5.6,800,400,11:10:54
+1.0,2012-03-22,2012-03-22 11:07:45,0,3,792ed4923d0761fe0dc0e3e02b261d8e.jpg,5.6,800,400,11:07:45
+1.0,2012-03-06,2012-03-06 13:31:40,0,3,8cb96b952471095575104ea077477fc5.jpg,5.6,800,400,13:31:40
+1.0,2013-02-26,2013-02-26 12:44:15,1,1,3ae771203ebea0be4f4e40bc93a8c89e.jpg,5.6,800,200,12:44:15
+1.0,2013-01-28,2013-01-28 12:37:47,1,1,1ddd0af82698a8b741b961f00417caa3.jpg,5.6,800,100,12:37:47
+1.0,2013-01-28,2013-01-28 12:41:52,1,1,ba9cb2c6c673e093d1719b8647575d1d.jpg,5.6,800,100,12:41:52
+1.0,2013-01-29,2013-01-29 12:15:46,1,1,f8a0a340429d50d1e4915331dea0838b.jpg,5.6,800,100,12:15:46
+1.0,2012-03-08,2012-03-08 15:01:02,0,3,a540473fb8bf8212538b599886a34ebe.jpg,5.6,800,400,15:01:02
+1.0,2013-02-13,2013-02-13 12:52:29,1,1,14ab48cc44f3023006f600b56c8680b6.jpg,5.6,800,100,12:52:29
+1.0,2013-02-26,2013-02-26 12:04:11,1,1,efcc6bada3931c498005a19cf84615b6.jpg,5.6,800,160,12:04:11
+1.0,2012-03-20,2012-03-20 13:58:25,0,3,c6a00ec1c5eab086d8696ce199bc65e3.jpg,5.6,800,400,13:58:25
+1.0,2012-04-03,2012-04-03 11:07:09,0,3,bc4fb2cea357b4f9d7a2437fa89e237e.jpg,5.6,800,400,11:07:09
+1.0,2012-03-22,2012-03-22 11:04:09,0,3,6bf43d071ec634717147ad80f628fea8.jpg,5.6,800,400,11:04:09
+1.0,2013-01-28,2013-01-28 12:36:20,1,1,4b71ffa77d426cb6e9eba7a944ff0961.jpg,5.6,800,100,12:36:20
+1.0,2012-03-08,2012-03-08 14:53:34,0,3,633fe176670aac36f441a4aa1cbc6f16.jpg,5.6,800,400,14:53:34
+1.0,2013-01-29,2013-01-29 16:33:58,1,1,cd9b28606daa32f3e6d4255850fd0fc7.jpg,5.6,800,500,16:33:58
+1.0,2013-02-20,2013-02-20 12:04:56,1,1,33e68d6bb9fb11c249de87bf341fad5b.jpg,5.6,800,200,12:04:56
+1.0,2013-01-29,2013-01-29 16:31:36,1,1,1ae47d1e67153d43ada8944ac680c1cb.jpg,5.6,800,500,16:31:36
+1.0,2013-01-28,2013-01-28 12:40:45,1,1,500e8a15395af7186c7e01dba8a44dc1.jpg,5.6,800,100,12:40:45
+1.0,2013-02-26,2013-02-26 12:16:18,1,1,dc5dac7caaafad2a6ef2cef52bfd3eee.jpg,5.6,800,200,12:16:18
+1.0,2012-04-03,2012-04-03 11:10:39,0,3,384576c99814b84d5a42d92dbe29d866.jpg,5.6,800,400,11:10:39
+1.0,2012-04-03,2012-04-03 11:11:35,0,3,7a5304fd469f65d98b2d04bc64bf6de3.jpg,5.6,800,400,11:11:35
+1.0,2012-03-20,2012-03-20 12:34:41,0,3,b0d6ea51adfbbefa361806e1cc481f7d.jpg,5.6,800,400,12:34:41
+1.0,2012-04-03,2012-04-03 12:32:17,0,3,065aba5b09a3f0d4661a4456cf221f4c.jpg,5.6,800,400,12:32:17
+1.0,2013-02-19,2013-02-19 16:26:22,1,1,098ebe535046ec7cbb5b69c1aa4a19d2.jpg,5.6,800,320,16:26:22
+1.0,2013-01-29,2013-01-29 12:13:37,1,1,d9eeac46687201424975e78868fe56dc.jpg,5.6,800,100,12:13:37
+1.0,2013-02-26,2013-02-26 12:10:41,1,1,80058703c564af0b784f053f99d046b0.jpg,5.6,800,160,12:10:41
+1.0,2013-01-29,2013-01-29 16:27:05,1,1,fb8441bb505a1ef3341ac1a9633dfeb3.jpg,5.6,800,400,16:27:05
+1.0,2012-03-08,2012-03-08 14:56:12,0,3,31604e23a832db1d9420879e0f199cbe.jpg,5.6,800,400,14:56:12
+1.0,2012-03-20,2012-03-20 09:42:24,0,3,13399e2e68514fca89cd3aad43ffdabb.jpg,5.6,800,400,09:42:24
+1.0,2012-04-03,2012-04-03 09:44:56,0,3,c855a1534a2c6f67893b08fa0bd98013.jpg,5.6,800,400,09:44:56
+1.0,2013-01-29,2013-01-29 12:10:53,1,1,8878ebddb1ebfda667a964313e0353af.jpg,5.6,800,100,12:10:53
+1.0,2012-03-20,2012-03-20 12:29:05,0,3,3402583e6c437db7f740589470bf5832.jpg,5.6,800,400,12:29:05
+1.0,2013-02-19,2013-02-19 16:18:58,1,1,b989aafd7a343d5c56091808107d3b40.jpg,5.6,800,320,16:18:58
+1.0,2013-02-26,2013-02-26 12:19:19,1,1,465f7c71e9d22a6060f762e8f485dc5f.jpg,5.6,800,200,12:19:19
+1.0,2012-03-22,2012-03-22 13:58:31,0,3,7e52e5b33caf7ef5d6c6404566b76b27.jpg,5.6,800,400,13:58:31
+1.0,2012-03-06,2012-03-06 13:29:11,0,3,18d93db01bd642f9644ea187af83ddba.jpg,5.6,800,400,13:29:11
+1.0,2013-02-13,2013-02-13 12:50:02,1,1,fff83eb60e6ab68b787d573c3d0a104f.jpg,5.6,800,100,12:50:02
+1.0,2012-04-03,2012-04-03 11:05:05,0,3,312287383566e284530bc07d384e0dfa.jpg,5.6,800,400,11:05:05
+1.0,2012-03-20,2012-03-20 13:56:11,0,3,6344f82799322d6b1fa7962495a72d36.jpg,5.6,800,400,13:56:11
+1.0,2012-03-20,2012-03-20 09:46:37,0,3,dc47f36138ae1c1338b6efd6e1ee7bd6.jpg,5.6,800,400,09:46:37
+1.0,2013-02-20,2013-02-20 12:43:23,1,1,f57ef8b7fa1a3590aaedde910c82e17a.jpg,5.6,800,100,12:43:23
+1.0,2012-03-20,2012-03-20 13:58:25,0,3,dce2416a2bb17c9ec88f253f834c0703.jpg,5.6,800,400,13:58:25
+1.0,2013-01-28,2013-01-28 12:38:59,1,1,600e2eaa33907ad50ff9c1afc8b29f1b.jpg,5.6,800,100,12:38:59
+1.0,2013-02-26,2013-02-26 12:09:08,1,1,d9533fe4d2ed8b14947f7d0ae030792a.jpg,5.6,800,200,12:09:08
+1.0,2013-01-29,2013-01-29 16:33:53,1,1,86809359691057a0fdbacb348f1bdc40.jpg,5.6,800,400,16:33:53
+1.0,2013-01-28,2013-01-28 12:40:00,1,1,ca9ac0219223d7a8e643bb26448a0f5c.jpg,5.6,800,100,12:40:00
+1.0,2012-04-03,2012-04-03 11:11:58,0,3,b1da3ab6cd00a8bad797c0be64628360.jpg,5.6,800,400,11:11:58
+1.0,2013-02-13,2013-02-13 12:48:19,1,1,c56e46432dca0b7582a6837223b27fcd.jpg,5.6,800,100,12:48:19
+1.0,2013-01-29,2013-01-29 16:31:21,1,1,2f55546a44fcbf3bf74de6c8fc77e4db.jpg,5.6,800,250,16:31:21
+1.0,2012-03-20,2012-03-20 13:59:23,0,3,d3bac3a45099803b03fe2db0c96f2d90.jpg,5.6,800,400,13:59:23
+1.0,2013-01-29,2013-01-29 16:26:12,1,1,046bb17a663fde14849725bc3a02b4f9.jpg,5.6,800,500,16:26:12
+1.0,2012-04-03,2012-04-03 09:44:18,0,3,9dc059ed5295aa791243f4de2a86ad2a.jpg,5.6,800,400,09:44:18
+1.0,2012-03-22,2012-03-22 11:06:23,0,3,62ca0ffe6039d3f97545d37efd12ecca.jpg,5.6,800,400,11:06:23
+1.0,2013-01-29,2013-01-29 12:10:39,1,1,3d491011c60ae53092e2e1079034bb1e.jpg,5.6,800,100,12:10:39
+1.0,2013-02-26,2013-02-26 12:05:06,1,1,d8d0128a6aa906e44f1264a75a3b1170.jpg,5.6,800,160,12:05:06
+1.0,2013-01-29,2013-01-29 12:08:09,1,1,f29a30e96e76a25e84fb5a5b2e250c1a.jpg,5.6,800,100,12:08:09
+1.0,2012-03-20,2012-03-20 12:35:10,0,3,ce293df952697683a1978b5b2a1ea4e3.jpg,5.6,800,400,12:35:10
+1.0,2013-01-28,2013-01-28 12:34:39,1,1,9902ee270b98b818a575d9a79f66e5ce.jpg,5.6,800,100,12:34:39
+1.0,2012-03-08,2012-03-08 14:53:34,0,3,b6cc85f64cef0faad2cb421ac2f7a83b.jpg,5.6,800,400,14:53:34
+1.0,2012-03-08,2012-03-08 14:58:07,0,3,0b15bf63c40333c31cb62e2ed9778972.jpg,5.6,800,400,14:58:07
+1.0,2012-03-06,2012-03-06 13:34:07,0,3,85ab2522020926476c8e0705ccc2fc8d.jpg,5.6,800,400,13:34:07
+1.0,2013-02-26,2013-02-26 12:25:30,1,1,b214f486ba322cdcfa61c44cc088dbe8.jpg,5.6,800,200,12:25:30
+1.0,2013-02-20,2013-02-20 12:14:15,1,1,5221d58e03156872a60210e82082ee22.jpg,5.6,800,125,12:14:15
+1.0,2012-03-20,2012-03-20 13:57:32,0,3,8682002b6bf72df85cc5ad96fdf26000.jpg,5.6,800,400,13:57:32
+1.0,2012-03-06,2012-03-06 13:31:31,0,3,7da9ae0fb0e7a10f1cd5f37f2599d2b7.jpg,5.6,800,400,13:31:31
+1.0,2013-01-29,2013-01-29 16:22:33,1,1,9919c9a9c096dd2f1d39c1c890477d86.jpg,5.6,800,400,16:22:33
+1.0,2013-02-26,2013-02-26 12:40:43,1,1,5dba52cff761e23ca7aa9a1d36eec59e.jpg,5.6,800,200,12:40:43
+1.0,2013-02-20,2013-02-20 12:04:54,1,1,c8c7b48a159e1fe26db5d7915692c1d2.jpg,5.6,800,250,12:04:54
+1.0,2012-03-06,2012-03-06 13:30:12,0,3,3ccc26233cfc746da57465e7ca0051ff.jpg,5.6,800,400,13:30:12
+1.0,2013-02-26,2013-02-26 12:40:39,1,1,3687307b595409e0afa1b1a1e338ad8d.jpg,5.6,800,200,12:40:39
+1.0,2012-03-08,2012-03-08 10:46:08,0,3,aeb768287c90ecc89879bca3fabef5db.jpg,5.6,800,400,10:46:08
+1.0,2012-03-20,2012-03-20 09:43:44,0,3,952970a04655dd1b45df731e6726f845.jpg,5.6,800,400,09:43:44
+1.0,2012-03-22,2012-03-22 14:00:58,0,3,bd8001d2765402e2cd5116a7542fbcfc.jpg,5.6,800,400,14:00:58
+1.0,2012-03-20,2012-03-20 12:30:44,0,3,65f64a534a246b73dd0237e352c14950.jpg,5.6,800,400,12:30:44
+1.0,2012-03-20,2012-03-20 13:56:15,0,3,b095bf3f8cf2afed52781c167943cb1c.jpg,5.6,800,400,13:56:15
+1.0,2012-03-08,2012-03-08 14:55:50,0,3,df3d6b8172c35f20be4e21e51c77a974.jpg,5.6,800,400,14:55:50
+1.0,2012-04-03,2012-04-03 11:12:58,0,3,888107c0caefef59bbe7298462ea71dd.jpg,5.6,800,400,11:12:58
+1.0,2012-04-03,2012-04-03 09:39:27,0,3,3bb513563ebf64f77a1e1b80e05da4ec.jpg,5.6,800,400,09:39:27
+1.0,2012-03-20,2012-03-20 09:42:06,0,3,a82da3f67e75047365903fb0e77e6ba6.jpg,5.6,800,400,09:42:06
+1.0,2013-02-26,2013-02-26 12:28:34,1,1,c33e660598e9ab5d64ff9c7eb89c2213.jpg,5.6,800,200,12:28:34
+1.0,2012-04-03,2012-04-03 12:33:53,0,3,36a8fbfa437a46958019ddf0c3ec6b70.jpg,5.6,800,400,12:33:53
+1.0,2013-02-26,2013-02-26 12:15:23,1,1,4b8f12dd3020e14e4dff47af7a81e72f.jpg,5.6,800,200,12:15:23
+1.0,2013-01-28,2013-01-28 12:37:09,1,1,3cb8bc4f0363658b7f9fe7ef37c8fe90.jpg,5.6,800,100,12:37:09
+1.0,2013-01-29,2013-01-29 16:26:54,1,1,9c4bda1f908c052231a3632802e9b112.jpg,5.6,800,250,16:26:54
+1.0,2013-02-20,2013-02-20 12:34:56,1,1,54c5edbf2754dd3e7c5b0c86912cccb3.jpg,5.6,800,100,12:34:56
+1.0,2013-02-13,2013-02-13 13:06:29,1,1,0214ee9c4d88a760209946fc08a20d5f.jpg,5.6,800,100,13:06:29
+1.0,2013-02-13,2013-02-13 12:19:42,1,1,5b005306b76451a774196cb955371ffe.jpg,5.6,800,100,12:19:42
+1.0,2012-03-20,2012-03-20 15:25:11,0,3,077770735dc6c7fb57d8dc27d62783b6.jpg,5.6,800,400,15:25:11
+1.0,2013-01-29,2013-01-29 16:24:45,1,1,729d9759e8d504da270c2d7e3f39082a.jpg,5.6,800,250,16:24:45
+1.0,2013-02-19,2013-02-19 16:33:55,1,1,2dea8639d22524352cc4eea3ab8bc135.jpg,5.6,800,320,16:33:55
+1.0,2012-03-20,2012-03-20 12:29:08,0,3,9135397abb146e16dc288d68b03dc2d6.jpg,5.6,800,400,12:29:08
+1.0,2013-01-28,2013-01-28 12:36:17,1,1,53cc92d4eb263f0882c1e5ee44287803.jpg,5.6,800,100,12:36:17
+1.0,2013-02-20,2013-02-20 12:13:24,1,1,e48e22896722e1c33b3750e71c0f6b75.jpg,5.6,800,160,12:13:24
+1.0,2013-02-26,2013-02-26 12:04:12,1,1,3f515d2b69ea675908a71f9e9a523a86.jpg,5.6,800,160,12:04:12
+1.0,2013-01-29,2013-01-29 12:14:53,1,1,8eaa3af1a2656eb78da4ca5240f6bb93.jpg,5.6,800,100,12:14:53
+1.0,2013-01-29,2013-01-29 16:28:58,1,1,ff9f402f4a5db7bdc17cf1514dcb2d78.jpg,5.6,800,400,16:28:58
+1.0,2012-03-20,2012-03-20 11:07:22,0,3,35bd62ec8a188ad6afc6ffc1f71d30c2.jpg,5.6,800,400,11:07:22
+1.0,2012-04-03,2012-04-03 11:09:59,0,3,0f4c89efef478bd2ab00f9538b3fbd35.jpg,5.6,800,400,11:09:59
+1.0,2012-03-22,2012-03-22 11:07:03,0,3,c04b11792591a747eefa4679fc2cb874.jpg,5.6,800,400,11:07:03
+1.0,2012-03-20,2012-03-20 12:32:09,0,3,300b986f42ae58e007f3fc1a74505684.jpg,5.6,800,400,12:32:09
+1.0,2013-01-29,2013-01-29 12:17:57,1,1,228c69117f6d14e3b35ed6c59183385e.jpg,5.6,800,100,12:17:57
+1.0,2013-02-13,2013-02-13 12:15:42,1,1,ebd210c23c288848a01e902e54c66f3f.jpg,5.6,800,100,12:15:42
+1.0,2012-03-06,2012-03-06 13:29:48,0,3,268b66d5f84cfa24644e9421321cd761.jpg,5.6,800,400,13:29:48
+1.0,2013-01-28,2013-01-28 12:38:42,1,1,253d72be4a1698cb112e8794f3b2b3bd.jpg,5.6,800,100,12:38:42
+1.0,2012-04-03,2012-04-03 09:35:37,0,3,aa18df6f0e0a7ac165e43a9e25116660.jpg,5.6,800,400,09:35:37
+1.0,2012-04-03,2012-04-03 12:32:37,0,3,7992553cef831051e12a07960681084a.jpg,5.6,800,400,12:32:37
+1.0,2012-04-03,2012-04-03 11:04:05,0,3,2d9d02d3700ce76e9364dab4b2a7289a.jpg,5.6,800,400,11:04:05
+1.0,2013-01-29,2013-01-29 16:34:33,1,1,a309cb71e97292096b018ec994b88394.jpg,5.6,800,320,16:34:33
+1.0,2013-01-29,2013-01-29 16:29:34,1,1,8acb9b613fd8d7c2ce25accffed85e4e.jpg,5.6,800,320,16:29:34
+1.0,2013-01-28,2013-01-28 12:33:36,1,1,a9ac4d8c8ea42de94e5c98c61390cfb4.jpg,5.6,800,100,12:33:36
+1.0,2013-02-19,2013-02-19 16:31:12,1,1,6465e42e7dbf8e788f67ec409a138100.jpg,5.6,800,320,16:31:12
+1.0,2013-02-13,2013-02-13 12:14:35,1,1,69260793223f7641199020d421d726fd.jpg,5.6,800,100,12:14:35
+1.0,2012-04-03,2012-04-03 12:36:33,0,3,30fb642d812f6e1ab35d9b099ca27bd4.jpg,5.6,800,400,12:36:33
+1.0,2013-01-28,2013-01-28 12:38:17,1,1,263fd486d5bd2904613d2cbc8e6a8474.jpg,5.6,800,100,12:38:17
+1.0,2012-04-03,2012-04-03 11:04:34,0,3,6d5b6b3aee99cfac3a26ece3b6272e9e.jpg,5.6,800,400,11:04:34
+1.0,2013-01-28,2013-01-28 12:34:20,1,1,c5903f3111f8b51af62bd011426fe4ef.jpg,5.6,800,100,12:34:20
+1.0,2013-02-26,2013-02-26 12:08:21,1,1,e4fd9794356322ad99f03769d418dacd.jpg,5.6,800,200,12:08:21
+1.0,2013-02-26,2013-02-26 12:28:58,1,1,2e02467b2500af3e0421915dd31dfc2e.jpg,5.6,800,200,12:28:58
+1.0,2012-03-20,2012-03-20 09:42:21,0,3,209acd9cbd948e6144f655594a9c8930.jpg,5.6,800,400,09:42:21
+1.0,2013-01-28,2013-01-28 12:33:02,1,1,4b0f5eceb0c09b873f88406939db7fd6.jpg,5.6,800,100,12:33:02
+1.0,2012-03-22,2012-03-22 11:06:29,0,3,ce7794a55c50a3a747683ee39f953eb1.jpg,5.6,800,400,11:06:29
+1.0,2013-02-13,2013-02-13 12:55:23,1,1,84fc9ddcd3f9b12f917e1e57e2dd2b4d.jpg,5.6,800,100,12:55:23
+1.0,2013-01-29,2013-01-29 16:33:07,1,1,36f7713f3782c3d7b485a5d7e928ac4b.jpg,5.6,800,320,16:33:07
+1.0,2013-01-29,2013-01-29 12:08:27,1,1,235e9c088d94d42b6d1aa57c13f1a207.jpg,5.6,800,100,12:08:27
+1.0,2012-03-20,2012-03-20 09:41:30,0,3,b87aabade32e0a2c49ca6f3a76488f3c.jpg,5.6,800,400,09:41:30
+1.0,2013-02-19,2013-02-19 16:33:34,1,1,c0d91e54a7e261b8c755350c2e2774a3.jpg,5.6,800,400,16:33:34
+1.0,2012-03-20,2012-03-20 12:35:10,0,3,91bcd7cde6c7526de86343f74235ab4f.jpg,5.6,800,400,12:35:10
+1.0,2013-02-19,2013-02-19 16:30:35,1,1,87f447c8e9f4964089ccc456f25b96ca.jpg,5.6,800,320,16:30:35
+1.0,2013-02-13,2013-02-13 12:41:57,1,1,4f72acf65ebafddc20c7abc37e3cbc08.jpg,5.6,800,100,12:41:57
+1.0,2012-03-20,2012-03-20 09:45:33,0,3,25650408dab26f10e20287657db7d7b2.jpg,5.6,800,400,09:45:33
+1.0,2013-02-26,2013-02-26 12:05:25,1,1,b805174e3e7f255c337fc2b58736cedf.jpg,5.6,800,160,12:05:25
+1.0,2013-02-20,2013-02-20 12:27:30,1,1,5d5446a62da905bcfc2fc37a028f60ad.jpg,5.6,800,100,12:27:30
+1.0,2013-01-29,2013-01-29 16:24:27,1,1,4d65fb9f02fb47d0aebeec945070fc4f.jpg,5.6,800,320,16:24:27
+1.0,2013-01-28,2013-01-28 12:38:33,1,1,59a1af5271e0e594475d6f94dd71d9ba.jpg,5.6,800,100,12:38:33
+1.0,2012-03-20,2012-03-20 13:59:16,0,3,5b81ce503b67aee8aed8aaef764fd40b.jpg,5.6,800,400,13:59:16
+1.0,2013-02-13,2013-02-13 13:25:33,1,1,ba718b7c4045713f33c53b4074cd03c0.jpg,5.6,800,100,13:25:33
+1.0,2013-01-29,2013-01-29 16:29:45,1,1,5ff2ec879a1ed6b4940572571abd59be.jpg,5.6,800,250,16:29:45
+1.0,2012-04-03,2012-04-03 11:08:10,0,3,32c457abff27b45a01fb6306d559087a.jpg,5.6,800,400,11:08:10
+1.0,2012-03-13,2012-03-13 11:09:02,0,3,d0e34732cc61bc0cfe1babfce1e360f1.jpg,5.6,800,400,11:09:02
+1.0,2013-01-29,2013-01-29 16:35:09,1,1,5d8f20b2ebef2cef2b7920f9deea7581.jpg,5.6,800,640,16:35:09
+1.0,2012-03-20,2012-03-20 12:30:51,0,3,d93330eddd9a1b0ea8b9962330c2c767.jpg,5.6,800,400,12:30:51
+1.0,2013-02-26,2013-02-26 12:12:56,1,1,45bea4458b39034b65d0df9b572dc9ef.jpg,5.6,800,160,12:12:56
+1.0,2013-01-28,2013-01-28 12:33:35,1,1,1c8e87d4ba3c44d603c43460b0432494.jpg,5.6,800,100,12:33:35
+1.0,2013-02-19,2013-02-19 16:28:15,1,1,5183f0ff60663bd4137f0bc867a80f41.jpg,5.6,800,320,16:28:15
+1.0,2013-02-13,2013-02-13 13:17:35,1,1,24b16fd17e89f8bf260d0c171930bcb8.jpg,5.6,800,100,13:17:35
+1.0,2012-03-20,2012-03-20 13:57:55,0,3,96bb9f5a602f9bc1ca374fdd69c1bc26.jpg,5.6,800,400,13:57:55
+1.0,2013-02-19,2013-02-19 16:16:00,1,1,4c9f8b1df90894a8a83c5bc38e9ac50b.jpg,5.6,800,320,16:16:00
+1.0,2013-01-29,2013-01-29 16:26:49,1,1,f9735031803ad0869f0be54f4444b523.jpg,5.6,800,400,16:26:49
+1.0,2013-01-29,2013-01-29 12:27:36,1,1,c3ba2fc489bfe4b2bbfc4156e939c859.jpg,5.6,800,100,12:27:36
+1.0,2013-02-19,2013-02-19 16:24:50,1,1,1040e8f4d3593664c9644151b157f0da.jpg,5.6,800,400,16:24:50
+1.0,2013-01-29,2013-01-29 12:16:06,1,1,883508b5e734b78a80fa6fc97fc3119c.jpg,5.6,800,100,12:16:06
+1.0,2012-03-20,2012-03-20 12:35:54,0,3,a86a3c9c6668d2ad3c94f332fa15f30c.jpg,5.6,800,400,12:35:54
+1.0,2013-01-28,2013-01-28 12:41:43,1,1,6268ba7e9d70d4c460fa813b192f6cbc.jpg,5.6,800,100,12:41:43
+1.0,2012-03-20,2012-03-20 12:31:59,0,3,5f2f5d3ce1c5a8d4b55955a0528fb59c.jpg,5.6,800,400,12:31:59
+1.0,2012-03-20,2012-03-20 13:59:20,0,3,3eb0768d619fe3f3e61b35e481870f9c.jpg,5.6,800,400,13:59:20
+1.0,2013-01-29,2013-01-29 12:31:16,1,1,75eb160d07f00e64674973da99a7fbac.jpg,5.6,800,100,12:31:16
+1.0,2013-01-29,2013-01-29 12:34:26,1,1,b7208aafaef4afe46d5e6dd0b28f2947.jpg,5.6,800,100,12:34:26
+1.0,2012-03-20,2012-03-20 11:05:40,0,3,bee3b0ef2041fadf8fa15ade34ef0fa2.jpg,5.6,800,400,11:05:40
+1.0,2012-03-20,2012-03-20 12:29:52,0,3,158bfeab47a218c219fbca7d27b06dbb.jpg,5.6,800,400,12:29:52
+1.0,2012-03-20,2012-03-20 15:23:16,0,3,b31d5e1693f05afea621078288b2b4db.jpg,5.6,800,400,15:23:16
+1.0,2012-03-22,2012-03-22 11:07:05,0,3,afe4fc121d5a2f19f8fb23e345b70848.jpg,5.6,800,400,11:07:05
+1.0,2012-03-20,2012-03-20 12:30:51,0,3,5dc6c065d69be49c0f683f8fd970d645.jpg,5.6,800,400,12:30:51
+1.0,2013-01-28,2013-01-28 12:42:43,1,1,02d5024cb5dfeeb8f19f17d4144c6cc7.jpg,5.6,800,100,12:42:43
+1.0,2013-02-20,2013-02-20 12:25:43,1,1,ac39e2fa564c2bd7115e2b3b04e638cb.jpg,5.6,800,100,12:25:43
+1.0,2013-01-29,2013-01-29 12:09:16,1,1,57216842625003764eb7176e2a38ff07.jpg,5.6,800,100,12:09:16
+1.0,2013-02-13,2013-02-13 13:15:37,1,1,f041a01548dfaf24aa88d398d0a1b92f.jpg,5.6,800,100,13:15:37
+1.0,2012-03-20,2012-03-20 13:57:49,0,3,2465f37a37b8f18b02bc1f7b27b6f3ef.jpg,5.6,800,400,13:57:49
+1.0,2012-03-20,2012-03-20 09:46:30,0,3,a8471f7d531cdfc3da22efa87e971425.jpg,5.6,800,400,09:46:30
+1.0,2012-03-20,2012-03-20 12:29:48,0,3,c2524854bd40a997a1fc2bac61674813.jpg,5.6,800,400,12:29:48
+1.0,2012-03-20,2012-03-20 11:04:02,0,3,fe5a02b6adc3ad2370dbafe1b07256b5.jpg,5.6,800,400,11:04:02
+1.0,2013-02-26,2013-02-26 12:17:37,1,1,2c89070cbb54ceb7f01571b906d94477.jpg,5.6,800,200,12:17:37
+1.0,2013-02-20,2013-02-20 12:26:07,1,1,391cc1b4fff50ef0e9a5f0d14e99dee2.jpg,5.6,800,100,12:26:07
+1.0,2013-02-19,2013-02-19 16:18:01,1,1,b8d9cd12eff9527347b66b6fe7f31811.jpg,5.6,800,400,16:18:01
+1.0,2012-03-22,2012-03-22 11:07:47,0,3,22d82a099b4ddecd63b2ab37f1e18da1.jpg,5.6,800,400,11:07:47
+1.0,2013-02-20,2013-02-20 12:25:28,1,1,0c26349d92742a3977ff39e61b4748ca.jpg,5.6,800,100,12:25:28
+1.0,2012-03-13,2012-03-13 11:09:06,0,3,908a92ad3e03d90f3b1b8fe8f4eb1a3f.jpg,5.6,800,400,11:09:06
+1.0,2012-03-20,2012-03-20 09:45:58,0,3,66811243fd2cf16051ed05b79aea995f.jpg,5.6,800,400,09:45:58
+1.0,2012-03-20,2012-03-20 11:08:22,0,3,179aaeb47ca49eac335544584123c24a.jpg,5.6,800,400,11:08:22
+1.0,2012-04-03,2012-04-03 09:38:01,0,3,0d2167ab834e537a4bada09418dc9cb9.jpg,5.6,800,400,09:38:01
+1.0,2013-01-28,2013-01-28 12:38:34,1,1,426e63a718ecabfc23aa0eb4ee3d4b5d.jpg,5.6,800,100,12:38:34
+1.0,2013-01-29,2013-01-29 12:20:46,1,1,ddaeb0538b2d31e9eb614871188a5d13.jpg,5.6,800,100,12:20:46
+1.0,2013-02-13,2013-02-13 13:26:09,1,1,82482ef80b88464cda62a44c18fb7546.jpg,5.6,800,100,13:26:09
+1.0,2012-03-20,2012-03-20 09:43:07,0,3,6467c814b331bb3a6bc48ba9fc7eed93.jpg,5.6,800,400,09:43:07
+1.0,2013-01-28,2013-01-28 12:40:06,1,1,b04ca5bfbcd08e7ced77da6fac0db62a.jpg,5.6,800,100,12:40:06
+1.0,2013-02-26,2013-02-26 12:05:11,1,1,5ff06adf0fb1d44058408857d8b4ab11.jpg,5.6,800,160,12:05:11
+1.0,2012-04-03,2012-04-03 11:09:13,0,3,987acce64e5befb5cbf5ba20405783a2.jpg,5.6,800,400,11:09:13
+1.0,2012-04-24,2012-04-24 09:37:27,0,3,a964cf95d2ef6dee6cf3559df2b0b751.jpg,5.6,800,400,09:37:27
+1.0,2013-01-28,2013-01-28 12:40:50,1,1,f59aa35adda49f0cbe232e34db374b11.jpg,5.6,800,100,12:40:50
+1.0,2012-03-22,2012-03-22 11:08:06,0,3,b91f3efc6eb081eb41820e454733eac4.jpg,5.6,800,400,11:08:06
+1.0,2013-02-26,2013-02-26 12:09:53,1,1,3e61294bb8e7d1f2640329c687320350.jpg,5.6,800,200,12:09:53
+1.0,2013-02-20,2013-02-20 12:24:01,1,1,d1828090177d23e93a828194ce4a3347.jpg,5.6,800,100,12:24:01
+1.0,2013-01-29,2013-01-29 16:35:02,1,1,d8bdf310686cc0812263cc430e4285a9.jpg,5.6,800,320,16:35:02
+1.0,2012-03-08,2012-03-08 10:47:04,0,3,ad9c4cafd2d65c7fb4b00c1d4fb5df58.jpg,5.6,800,400,10:47:04
+1.0,2012-04-03,2012-04-03 12:33:14,0,3,9b050583877e1ab63e5f4ed8c808ec7d.jpg,5.6,800,400,12:33:14
+1.0,2012-03-08,2012-03-08 10:47:27,0,3,84f65dea9e915da48d4897d24459af46.jpg,5.6,800,400,10:47:27
+1.0,2013-01-29,2013-01-29 12:12:50,1,1,ffbd2de5b936e38977389083672225ca.jpg,5.6,800,100,12:12:50
+1.0,2013-01-28,2013-01-28 12:38:12,1,1,00056475158675a7f26160c17b6643bb.jpg,5.6,800,100,12:38:12
+1.0,2013-01-29,2013-01-29 16:33:13,1,1,3539d0ddeedfb885b3524a2ba86d9ac5.jpg,5.6,800,400,16:33:13
+1.0,2012-03-06,2012-03-06 13:28:27,0,3,8248eecb0a40f7092bf4d3412b6d5a28.jpg,5.6,800,400,13:28:27
+1.0,2012-03-20,2012-03-20 15:24:27,0,3,68de02db747d3576cdebf626e38a92e6.jpg,5.6,800,400,15:24:27
+1.0,2013-01-29,2013-01-29 12:27:56,1,1,244b92c0777d16df45a61d374a5e1836.jpg,5.6,800,100,12:27:56
+1.0,2012-04-03,2012-04-03 11:09:12,0,3,113b11171c634f255a72be588e359720.jpg,5.6,800,400,11:09:12
+1.0,2012-03-20,2012-03-20 13:56:19,0,3,79dc4cf5c930c0c5e3aff61eb57ef756.jpg,5.6,800,400,13:56:19
+1.0,2013-02-13,2013-02-13 12:34:23,1,1,5792694bd8f2cae5cf0814b0ae1a1431.jpg,5.6,800,100,12:34:23
+1.0,2013-02-19,2013-02-19 16:35:17,1,1,593d0d8ecb42c5a2fe2bdd90d63a402b.jpg,5.6,800,320,16:35:17
+1.0,2012-03-22,2012-03-22 11:06:46,0,3,fcf24ea4b5abdab38d4824a71275a5f5.jpg,5.6,800,400,11:06:46
+1.0,2013-02-13,2013-02-13 12:45:11,1,1,0bdd6b111a4d374076da17e665e21513.jpg,5.6,800,100,12:45:11
+1.0,2012-03-08,2012-03-08 10:43:55,0,3,c89720c3c306dc052e5e9184008bcdd7.jpg,5.6,800,400,10:43:55
+1.0,2013-01-29,2013-01-29 12:11:40,1,1,8cf85a00e7a89dad415fc49df8c635fe.jpg,5.6,800,100,12:11:40
+1.0,2012-03-20,2012-03-20 11:09:28,0,3,005183a92f1a0ee9dfb65b81da6c5b12.jpg,5.6,800,400,11:09:28
+1.0,2012-03-20,2012-03-20 13:58:05,0,3,008f66dbd3525d40e30bae1e41205ab8.jpg,5.6,800,400,13:58:05
+1.0,2013-02-26,2013-02-26 12:35:44,1,1,0124f8eb1439b89cfd7447822fd0ffd5.jpg,5.6,800,200,12:35:44
+1.0,2013-02-26,2013-02-26 12:45:30,1,1,0129b412d6cb3f53a4ca22f960c748dd.jpg,5.6,800,200,12:45:30
+1.0,2012-03-20,2012-03-20 15:23:24,0,3,0181da95f4391c00267b89c0a60ff327.jpg,5.6,800,400,15:23:24
+1.0,2012-04-03,2012-04-03 09:42:27,0,3,01c2ee2fdfddb91abd41e8b31033d40a.jpg,5.6,800,400,09:42:27
+1.0,2013-01-28,2013-01-28 12:37:41,1,1,01f37746166701c10d4e0f92eb1c0dc0.jpg,5.6,800,100,12:37:41
+1.0,2012-04-03,2012-04-03 12:34:10,0,3,023e93aaa117e87e802f64d02e79edfc.jpg,5.6,800,400,12:34:10
+1.0,2012-03-06,2012-03-06 13:27:40,0,3,0261e2bf0ab9ece4816400520e25811c.jpg,5.6,800,400,13:27:40
+1.0,2013-02-13,2013-02-13 12:12:20,1,1,02916507cbf08fadb984553b8fb22766.jpg,5.6,800,100,12:12:20
+1.0,2013-02-20,2013-02-20 12:25:06,1,1,029415184ee6b920437ba33094bff009.jpg,5.6,800,100,12:25:06
+1.0,2012-04-24,2012-04-24 09:38:58,0,3,02a74348671f163991a5436d85cb6306.jpg,5.6,800,400,09:38:58
+1.0,2012-04-03,2012-04-03 12:34:27,0,3,02aaa1997654b83cdca51b198f072054.jpg,5.6,800,400,12:34:27
+1.0,2013-01-29,2013-01-29 16:26:49,1,1,02b433e600336d98fbf052a936336465.jpg,5.6,800,250,16:26:49
+1.0,2012-02-23,2012-02-23 14:57:12,0,3,02c3f20f65180624cb92c40fbdecf50b.jpg,5.6,800,400,14:57:12
+1.0,2013-02-20,2013-02-20 12:06:23,1,1,034c3c706e640aeee7fb4765eb034d0a.jpg,5.6,800,250,12:06:23
+1.0,2012-03-06,2012-03-06 13:31:45,0,3,03e0f2c3506c1a1b09cad3e2afa7607a.jpg,5.6,800,400,13:31:45
+1.0,2012-03-20,2012-03-20 09:45:01,0,3,0415ace7221b6a1f5689cdc82ca77af1.jpg,5.6,800,400,09:45:01
+1.0,2013-02-26,2013-02-26 12:16:17,1,1,044d13a14bae3ff151292c6cfaab7167.jpg,5.6,800,200,12:16:17
+1.0,2013-01-28,2013-01-28 12:33:38,1,1,04a0a3ad86c585425cdd7d21e03f53f3.jpg,5.6,800,100,12:33:38
+1.0,2013-02-20,2013-02-20 12:02:53,1,1,04b5f2a3cab1b013a28f8c2f7bf3b7a4.jpg,5.6,800,160,12:02:53
+1.0,2012-04-03,2012-04-03 12:26:43,0,3,04eeb3cdf1d6017d1c4a7d3cb395d803.jpg,5.6,800,400,12:26:43
+1.0,2013-02-20,2013-02-20 12:44:46,1,1,054ef74a56f7e077f11d56aa5945e47b.jpg,5.6,800,100,12:44:46
+1.0,2012-03-20,2012-03-20 12:29:46,0,3,057f002c683c04ab7e62198ff2e1ee13.jpg,5.6,800,400,12:29:46
+1.0,2012-04-03,2012-04-03 09:36:10,0,3,0593cd36527059ce357bb36ad469d702.jpg,5.6,800,400,09:36:10
+1.0,2013-02-13,2013-02-13 12:51:37,1,1,05abf4e110b0052620b953a8897837e3.jpg,5.6,800,100,12:51:37
+1.0,2013-01-29,2013-01-29 16:23:44,1,1,05bb96d80758eaa3642b7bb247eff0b0.jpg,5.6,800,320,16:23:44
+1.0,2012-03-06,2012-03-06 13:30:07,0,3,061a8fa236fb177569d19d74b1bacad8.jpg,5.6,800,400,13:30:07
+1.0,2012-03-20,2012-03-20 12:36:56,0,3,061c9680bed5f7dab955a5de0f31503f.jpg,5.6,800,400,12:36:56
+1.0,2012-04-24,2012-04-24 09:48:26,0,3,07392675bf68c0c52a305d6a32826968.jpg,5.6,800,400,09:48:26
+1.0,2013-01-29,2013-01-29 16:24:06,1,1,077172b620c6ba33a56132ac1599607e.jpg,5.6,800,400,16:24:06
+1.0,2012-03-20,2012-03-20 09:41:00,0,3,07fae001e6581b5707aa2270bf36d5f2.jpg,5.6,800,400,09:41:00
+1.0,2012-03-20,2012-03-20 12:32:15,0,3,08ccebceb4ec9db4d2024163e8c751e5.jpg,5.6,800,400,12:32:15
+1.0,2012-03-22,2012-03-22 11:08:20,0,3,08d9755ecf4838ec99a1c166b909e870.jpg,5.6,800,400,11:08:20
+1.0,2012-03-20,2012-03-20 12:28:38,0,3,08e1b35b13fea09b325b5b10f0470920.jpg,5.6,800,400,12:28:38
+1.0,2012-04-03,2012-04-03 11:05:13,0,3,0902f40bcc4b10d67ab4c07ac145c956.jpg,5.6,800,400,11:05:13
+1.0,2012-04-03,2012-04-03 09:36:17,0,3,099523a538fbc24a1f75097be6cc67e1.jpg,5.6,800,400,09:36:17
+1.0,2013-02-26,2013-02-26 12:06:33,1,1,0a0b3fb297a06d2f0bd46fc4b70076e0.jpg,5.6,800,200,12:06:33
+1.0,2012-03-20,2012-03-20 12:34:36,0,3,0a54bca7407d4f5350123a457cc336aa.jpg,5.6,800,400,12:34:36
+1.0,2012-03-22,2012-03-22 11:06:40,0,3,0a75aabdff1591a50489b9510eabaef9.jpg,5.6,800,400,11:06:40
+1.0,2013-01-29,2013-01-29 12:32:34,1,1,0a9ab29dff559910880fa38721ae3082.jpg,5.6,800,100,12:32:34
+1.0,2013-02-20,2013-02-20 12:27:21,1,1,0aa463e9dab4fdd77bf7b76388740815.jpg,5.6,800,100,12:27:21
+1.0,2012-04-03,2012-04-03 12:31:40,0,3,0aa69e333d6bb1480f8e369d69b4d41b.jpg,5.6,800,400,12:31:40
+1.0,2012-03-20,2012-03-20 12:31:35,0,3,0ae0ce97310dd8ffb8de4b5250aa1e8d.jpg,5.6,800,400,12:31:35
+1.0,2012-03-20,2012-03-20 12:29:48,0,3,0b3a6771fd8426ff17f1dd7ef0b90d35.jpg,5.6,800,400,12:29:48
+1.0,2013-02-13,2013-02-13 13:06:26,1,1,0c01ab921063cf3339b7621afdad90ce.jpg,5.6,800,100,13:06:26
+1.0,2013-01-28,2013-01-28 12:37:16,1,1,0c25d187439f2e7636291a940dac1125.jpg,5.6,800,100,12:37:16
+1.0,2013-01-29,2013-01-29 12:10:13,1,1,0c5fe0396308e71e7a805909343d93c2.jpg,5.6,800,100,12:10:13
+1.0,2012-03-22,2012-03-22 11:06:32,0,3,0c6fa751a45a6bff782a5b27393d7824.jpg,5.6,800,400,11:06:32
+1.0,2013-01-29,2013-01-29 16:26:44,1,1,0cc0534da69a5eb8f929697434006e7d.jpg,5.6,800,500,16:26:44
+1.0,2012-03-13,2012-03-13 11:11:05,0,3,0ccc75ce29e0b0f44b62fb3becbce8f8.jpg,5.6,800,400,11:11:05
+1.0,2013-02-13,2013-02-13 12:56:28,1,1,0df22ea66a7bef697776f7d54bcde9f8.jpg,5.6,800,100,12:56:28
+1.0,2013-01-29,2013-01-29 12:17:55,1,1,0ec5655ef3c3ed217f664640bf04ccc8.jpg,5.6,800,100,12:17:55
+1.0,2013-02-13,2013-02-13 12:32:24,1,1,0f28612b94ea66252b77c74df31cd1db.jpg,5.6,800,100,12:32:24
+1.0,2013-02-13,2013-02-13 12:13:52,1,1,0f350737b3859f3c5de4731fe774542d.jpg,5.6,800,100,12:13:52
+1.0,2013-01-29,2013-01-29 16:22:55,1,1,0f4ae7b02391510bcbbd49ccc720ee1b.jpg,5.6,800,400,16:22:55
+1.0,2013-02-19,2013-02-19 16:18:53,1,1,100e89c56fbb4b6641a52b0d4f16a834.jpg,5.6,800,320,16:18:53
+1.0,2013-01-28,2013-01-28 12:42:43,1,1,10dfa2c0e78748d22d68553b7d849d50.jpg,5.6,800,100,12:42:43
+1.0,2013-01-28,2013-01-28 12:38:50,1,1,11073467d4a1cbc8dafa790acb823b2c.jpg,5.6,800,100,12:38:50
+1.0,2012-03-20,2012-03-20 11:08:19,0,3,110746f7ea13439b022c3d837d5c758e.jpg,5.6,800,400,11:08:19
+1.0,2013-02-13,2013-02-13 13:14:59,1,1,126914655394fbe78b2d5a46cd7b12e0.jpg,5.6,800,100,13:14:59
+1.0,2013-02-13,2013-02-13 13:18:04,1,1,1274dfe4e910eb19389d757908d77a96.jpg,5.6,800,100,13:18:04
+1.0,2012-03-20,2012-03-20 12:32:17,0,3,12bcdb354133904c70bbab85ef6882f2.jpg,5.6,800,400,12:32:17
+1.0,2013-02-19,2013-02-19 16:17:14,1,1,131ced59d479e73d80af3e41d672c918.jpg,5.6,800,320,16:17:14
+1.0,2013-01-28,2013-01-28 12:35:32,1,1,13570c1cd26de93ab6b70e778eee677c.jpg,5.6,800,100,12:35:32
+1.0,2012-04-03,2012-04-03 11:09:23,0,3,13e872603d053894d9f0b64383f1a38d.jpg,5.6,800,400,11:09:23
+1.0,2012-04-03,2012-04-03 11:05:04,0,3,1454e47f8b6637d511716837143f97eb.jpg,5.6,800,400,11:05:04
+1.0,2012-04-03,2012-04-03 12:33:52,0,3,14689d6b30c4b799e68ff4836796d945.jpg,5.6,800,400,12:33:52
+1.0,2012-03-20,2012-03-20 12:30:52,0,3,1485aaf50c7e5767cab33235f4be27b5.jpg,5.6,800,400,12:30:52
+1.0,2012-04-03,2012-04-03 12:27:23,0,3,14f41e9cb8d446b91b6437affd45132e.jpg,5.6,800,400,12:27:23
+1.0,2013-02-20,2013-02-20 12:27:29,1,1,1549073b0cabc58be685f7bf8a9d5f92.jpg,5.6,800,100,12:27:29
+1.0,2012-03-13,2012-03-13 11:09:37,0,3,15cf20c94f0c1ea2e6eec0428599accb.jpg,5.6,800,400,11:09:37
+1.0,2013-02-13,2013-02-13 12:49:41,1,1,15d794e6312858832bc62aa15e54ed81.jpg,5.6,800,100,12:49:41
+1.0,2012-04-03,2012-04-03 09:37:43,0,3,15f1625e6165b69e327b8ef0bffa375f.jpg,5.6,800,400,09:37:43
+1.0,2012-04-03,2012-04-03 11:13:06,0,3,16d1f1a79164e201db71f1a278f692e4.jpg,5.6,800,400,11:13:06
+1.0,2012-03-20,2012-03-20 15:23:40,0,3,179b4123597920b3bc34d1b2a039a37d.jpg,5.6,800,400,15:23:40
+1.0,2012-03-20,2012-03-20 12:35:08,0,3,17f6a3640b771f03ef9a95ef004cfa61.jpg,5.6,800,400,12:35:08
+1.0,2013-01-29,2013-01-29 12:31:14,1,1,180b0918e9d34acbf44d6a255d90f586.jpg,5.6,800,100,12:31:14
+1.0,2013-01-29,2013-01-29 16:31:19,1,1,1837c28b53c4b5177424777b3e796698.jpg,5.6,800,320,16:31:19
+1.0,2013-02-13,2013-02-13 13:18:12,1,1,187d423c51e91e25153243ff599f5cf9.jpg,5.6,800,100,13:18:12
+1.0,2012-04-03,2012-04-03 11:07:29,0,3,18847fa0e013992b6dc928f636df20ea.jpg,5.6,800,400,11:07:29
+1.0,2012-03-20,2012-03-20 15:24:33,0,3,1886347f39854a110f6775c5070f6460.jpg,5.6,800,400,15:24:33
+1.0,2012-04-03,2012-04-03 11:05:07,0,3,190f85b63fc188438b35c7a8fa9df246.jpg,5.6,800,400,11:05:07
+1.0,2012-03-20,2012-03-20 15:23:07,0,3,1933b72f37d4b1d3d3b2a2c3350e1bd5.jpg,5.6,800,400,15:23:07
+1.0,2013-01-28,2013-01-28 12:35:36,1,1,199f41e18ea9ecc08bdddc44a6766176.jpg,5.6,800,100,12:35:36
+1.0,2013-02-20,2013-02-20 12:22:06,1,1,1a0695a368649f4cd8351d5fb0c0f20b.jpg,5.6,800,100,12:22:06
+1.0,2013-02-20,2013-02-20 12:13:28,1,1,1ab137223c88aa592399cefc470f3790.jpg,5.6,800,160,12:13:28
+1.0,2012-04-03,2012-04-03 09:35:14,0,3,1aceb31f663947ece67698f3d79682a2.jpg,5.6,800,400,09:35:14
+1.0,2013-02-26,2013-02-26 12:07:49,1,1,1b5bcfce430e3a3f5bb5954760d33aaa.jpg,5.6,800,160,12:07:49
+1.0,2012-03-20,2012-03-20 12:32:47,0,3,1b7cb0f080a309d8a08cada649509c15.jpg,5.6,800,400,12:32:47
+1.0,2013-02-13,2013-02-13 12:54:47,1,1,1be7f7bd9ede7118a018e6be95ad57ae.jpg,5.6,800,100,12:54:47
+1.0,2013-02-26,2013-02-26 12:19:17,1,1,1c0916ccf783c4f680ce93ae700b987a.jpg,5.6,800,200,12:19:17
+1.0,2012-04-03,2012-04-03 09:41:23,0,3,1c20128875fff0ce9d2c787f7e9f7d00.jpg,5.6,800,400,09:41:23
+1.0,2013-02-13,2013-02-13 13:15:55,1,1,1c29d0dbcdabe724530a224a836901a1.jpg,5.6,800,100,13:15:55
+1.0,2013-02-20,2013-02-20 12:22:04,1,1,1cd2861a21c654884f990bd9d185d1c6.jpg,5.6,800,100,12:22:04
+1.0,2013-02-19,2013-02-19 16:31:34,1,1,1cf76125d4349d951e78c91c0b905c4e.jpg,5.6,800,320,16:31:34
+1.0,2013-02-13,2013-02-13 12:10:30,1,1,1d3242ac6f3f55a9f60fe477bba5a5bd.jpg,5.6,800,100,12:10:30
+1.0,2012-03-20,2012-03-20 13:56:19,0,3,1d4838cb8cd52bfc94a627c34eb274a3.jpg,5.6,800,400,13:56:19
+1.0,2012-04-03,2012-04-03 12:34:45,0,3,1d75ce4553f14dea95dc70531c101d69.jpg,5.6,800,400,12:34:45
+1.0,2012-04-24,2012-04-24 09:44:45,0,3,1dacb8e5c1160880c0ef5b22abf5643b.jpg,5.6,800,400,09:44:45
+1.0,2013-01-29,2013-01-29 16:27:43,1,1,1e105e8042b66d454df0b533889cd690.jpg,5.6,800,320,16:27:43
+1.0,2012-03-22,2012-03-22 11:06:57,0,3,1e1e059aca42989bb99fdc0cb8f85ed7.jpg,5.6,800,400,11:06:57
+1.0,2013-01-29,2013-01-29 12:09:46,1,1,1e8f59d101d52db30d0687090bec5360.jpg,5.6,800,100,12:09:46
+1.0,2013-02-20,2013-02-20 12:22:24,1,1,1ef8260aee973047947ff899418ad966.jpg,5.6,800,100,12:22:24
+1.0,2013-02-20,2013-02-20 12:07:04,1,1,1f0720cab59c88afee7d6b9d48e031a4.jpg,5.6,800,160,12:07:04
+1.0,2013-01-29,2013-01-29 12:31:23,1,1,1f50b7a1d0ebd96f629cdaac87c3bfe9.jpg,5.6,800,100,12:31:23
+1.0,2013-02-20,2013-02-20 12:14:18,1,1,1f7708806064cdd74c2cf012fccf1c7d.jpg,5.6,800,125,12:14:18
+1.0,2013-01-29,2013-01-29 12:11:03,1,1,1fbd98489a9ad116cd7808f9daf3f025.jpg,5.6,800,100,12:11:03
+1.0,2012-03-13,2012-03-13 11:12:19,0,3,1fd040746b57aea54a4c722b25638a17.jpg,5.6,800,400,11:12:19
+1.0,2013-01-29,2013-01-29 16:29:40,1,1,20d3a989a0918e644c36b8cf3d05912e.jpg,5.6,800,400,16:29:40
+1.0,2012-03-20,2012-03-20 13:58:15,0,3,21225cbf4cc13efb0a96139c6f44ea4a.jpg,5.6,800,400,13:58:15
+1.0,2013-02-20,2013-02-20 12:08:02,1,1,2184b19b2e465b06420856c678e77381.jpg,5.6,800,200,12:08:02
+1.0,2012-04-03,2012-04-03 11:09:34,0,3,21952a3c7c2503a31a553988e649091c.jpg,5.6,800,400,11:09:34
+1.0,2013-01-29,2013-01-29 12:12:00,1,1,21c739d76fc9f3d8afe7fd1f0ba89cf2.jpg,5.6,800,100,12:12:00
+1.0,2012-03-20,2012-03-20 09:47:35,0,3,2215f4c0e73268484556ec96c60c5418.jpg,5.6,800,400,09:47:35
+1.0,2012-04-24,2012-04-24 11:10:03,0,3,22824af6cd0454cb4b2b5eb6e38bf9fd.jpg,5.6,800,400,11:10:03
+1.0,2013-01-28,2013-01-28 12:37:52,1,1,2292cc4d14c9afe1c63ebd9f5d2a4f47.jpg,5.6,800,100,12:37:52
+1.0,2012-03-20,2012-03-20 12:36:21,0,3,235cd0fea1bf26945df3c1d3ff4e4a6e.jpg,5.6,800,400,12:36:21
+1.0,2012-04-03,2012-04-03 09:36:54,0,3,2386f277489f6a2d26f0c185e50a5eda.jpg,5.6,800,400,09:36:54
+1.0,2013-02-13,2013-02-13 12:48:29,1,1,239ddb50f394f42a32fb8c235648c832.jpg,5.6,800,100,12:48:29
+1.0,2013-02-20,2013-02-20 12:12:15,1,1,23b6bb05a5ab79775c86dfa4ddcd34d2.jpg,5.6,800,200,12:12:15
+1.0,2013-02-19,2013-02-19 16:33:32,1,1,23f5563529d9f056e03b062afa3df1e2.jpg,5.6,800,320,16:33:32
+1.0,2012-03-13,2012-03-13 11:08:56,0,3,2424352e3b18b4c334908c1767c519e6.jpg,5.6,800,400,11:08:56
+1.0,2012-04-03,2012-04-03 11:12:59,0,3,2464c855a68495fb7e4f002d72ce2720.jpg,5.6,800,400,11:12:59
+1.0,2013-01-29,2013-01-29 16:32:59,1,1,2493c50c57aec8ac7cb810dba2129787.jpg,5.6,800,320,16:32:59
+1.0,2013-01-28,2013-01-28 12:36:02,1,1,249cbfcf4b71e20d36368f55d51cc26d.jpg,5.6,800,100,12:36:02
+1.0,2012-04-03,2012-04-03 09:39:26,0,3,24a58884808bf21611f981b7b954a69f.jpg,5.6,800,400,09:39:26
+1.0,2013-02-13,2013-02-13 12:06:48,1,1,24c1eb8554c4dd9d7b0a328a174f5da2.jpg,5.6,800,125,12:06:48
+1.0,2012-03-08,2012-03-08 14:54:07,0,3,24df09056a3b37da9c9a9c56f944584b.jpg,5.6,800,400,14:54:07
+1.0,2012-04-03,2012-04-03 09:36:22,0,3,24e801c92831b659d49a871896500c5d.jpg,5.6,800,400,09:36:22
+1.0,2012-04-03,2012-04-03 11:09:26,0,3,24fa107f75d912669c900d6788f1c968.jpg,5.6,800,400,11:09:26
+1.0,2013-01-28,2013-01-28 12:36:13,1,1,251306a336737c869c9b2a7ec3bfbf5a.jpg,5.6,800,100,12:36:13
+1.0,2013-02-13,2013-02-13 13:20:40,1,1,2601a9bec0c10f4c9d2bff57dd0b5ffb.jpg,5.6,800,100,13:20:40
+1.0,2013-02-19,2013-02-19 16:32:22,1,1,2606aea941f9784c23494d3278cdf6ee.jpg,5.6,800,400,16:32:22
+1.0,2013-02-20,2013-02-20 12:06:53,1,1,26236d761fd983ffc6e77c93918db7e5.jpg,5.6,800,160,12:06:53
+1.0,2012-03-20,2012-03-20 11:09:33,0,3,26caba1927d15c704a530b1666c4cb31.jpg,5.6,800,400,11:09:33
+1.0,2013-01-28,2013-01-28 12:38:41,1,1,273429c2eca41492f4337fe581d52109.jpg,5.6,800,100,12:38:41
+1.0,2013-02-13,2013-02-13 13:20:09,1,1,27343fc293fff86b6fd80362c1a749d6.jpg,5.6,800,100,13:20:09
+1.0,2012-03-20,2012-03-20 15:22:21,0,3,277eac48054e98723f4a1b50cea92aaa.jpg,5.6,800,400,15:22:21
+1.0,2012-04-03,2012-04-03 12:34:04,0,3,279174177ce3d0517b0640b12e6d7457.jpg,5.6,800,400,12:34:04
+1.0,2013-01-28,2013-01-28 12:40:26,1,1,27fb6daa01c8de66618b5e764f5317c5.jpg,5.6,800,100,12:40:26
+1.0,2013-02-20,2013-02-20 12:11:19,1,1,2803fd175199a30d9c9a19edd9839ecc.jpg,5.6,800,160,12:11:19
+1.0,2012-03-20,2012-03-20 09:43:05,0,3,283f78053e33d0c79336c900143c9563.jpg,5.6,800,400,09:43:05
+1.0,2013-01-28,2013-01-28 12:39:07,1,1,28938df27aa8354c1f2c70d59e0da110.jpg,5.6,800,100,12:39:07
+1.0,2012-03-06,2012-03-06 13:29:25,0,3,289e983a8e7518c0820e67a1980ea9ab.jpg,5.6,800,400,13:29:25
+1.0,2013-02-20,2013-02-20 12:17:30,1,1,29359597ebe11e983be1eda22ae7d7e3.jpg,5.6,800,125,12:17:30
+1.0,2012-03-08,2012-03-08 14:58:08,0,3,29bba1031ecfd535b49db53017daa52b.jpg,5.6,800,400,14:58:08
+1.0,2012-03-20,2012-03-20 11:09:19,0,3,29e17a2e23525aca93b2a4449af34f0a.jpg,5.6,800,400,11:09:19
+1.0,2013-02-19,2013-02-19 16:33:11,1,1,2a19ed97103b2ac1291fa6cdb7e987be.jpg,5.6,800,320,16:33:11
+1.0,2013-02-13,2013-02-13 12:14:12,1,1,2a22acf04474399e9a3a3ceafead07e7.jpg,5.6,800,100,12:14:12
+1.0,2013-01-29,2013-01-29 12:11:00,1,1,2aa9a6743efbc7693fcbff511daa5ba0.jpg,5.6,800,100,12:11:00
+1.0,2013-01-29,2013-01-29 16:24:05,1,1,2ab8ee5e6cd56031b6b579ba60bae039.jpg,5.6,800,400,16:24:05
+1.0,2013-02-13,2013-02-13 12:49:00,1,1,2ada886ae0b597068cee2e351a8d38e5.jpg,5.6,800,100,12:49:00
+1.0,2013-02-19,2013-02-19 16:25:11,1,1,2add4ff0961e271cda1e5c4e25f78fd9.jpg,5.6,800,320,16:25:11
+1.0,2013-01-28,2013-01-28 12:38:46,1,1,2b778c2094a0d673039fadf94f39b6be.jpg,5.6,800,100,12:38:46
+1.0,2013-01-29,2013-01-29 16:26:57,1,1,2ba5d7a498d6bf22bc37e83780d0c460.jpg,5.6,800,250,16:26:57
+1.0,2013-01-29,2013-01-29 16:21:11,1,1,2bf3fb438785c66760eef0d65346bfeb.jpg,5.6,800,200,16:21:11
+1.0,2012-03-20,2012-03-20 13:58:52,0,3,2bfbcb6d2bdfc3d1ce0d3cd7f5f0a3ea.jpg,5.6,800,400,13:58:52
+1.0,2013-02-13,2013-02-13 13:12:19,1,1,2c472ce05606e863d8a371a5be893bf8.jpg,5.6,800,100,13:12:19
+1.0,2012-03-20,2012-03-20 15:24:09,0,3,2c60b845943b3696f730b22a17e7eab1.jpg,5.6,800,400,15:24:09
+1.0,2012-03-20,2012-03-20 11:04:27,0,3,2c8b12cfa5ae5c1f40703bedfb4baeb6.jpg,5.6,800,400,11:04:27
+1.0,2013-02-26,2013-02-26 12:06:58,1,1,2cb7180d9f4212694bb00ab1ee41e5ff.jpg,5.6,800,200,12:06:58
+1.0,2012-04-03,2012-04-03 11:08:01,0,3,2cbd789eb5091920741647df09ffea01.jpg,5.6,800,400,11:08:01
+1.0,2013-02-20,2013-02-20 12:27:28,1,1,2dc3140452bd75c66a266a93e4c3f734.jpg,5.6,800,100,12:27:28
+1.0,2012-04-03,2012-04-03 12:33:55,0,3,2f22ba0a981ecce69282009631d099c3.jpg,5.6,800,400,12:33:55
+1.0,2012-04-03,2012-04-03 12:31:21,0,3,2f7119932f102ccbb1c1525bceb38075.jpg,5.6,800,400,12:31:21
+1.0,2013-02-20,2013-02-20 12:16:45,1,1,2fbc99b2119a0e89bf046ba57a8dab31.jpg,5.6,800,125,12:16:45
+1.0,2012-03-22,2012-03-22 11:06:59,0,3,2fd1e8ec57fcdf3065207abb1d7cc1c2.jpg,5.6,800,400,11:06:59
+1.0,2013-02-13,2013-02-13 13:29:30,1,1,2fdf48ae7d57485ba9f67f7a74bd4f82.jpg,5.6,800,100,13:29:30
+1.0,2013-01-29,2013-01-29 16:27:23,1,1,3000a6a2bb850c2d9ba4557c7bab106e.jpg,5.6,800,250,16:27:23
+1.0,2012-03-20,2012-03-20 15:23:55,0,3,307bddeb13fe3e684c4504695e2b0c06.jpg,5.6,800,400,15:23:55
+1.0,2012-04-03,2012-04-03 09:36:23,0,3,309b957a5797113e3d879b1740361a9d.jpg,5.6,800,400,09:36:23
+1.0,2013-02-26,2013-02-26 12:04:46,1,1,31597b315e7e934bced346f88af98a98.jpg,5.6,800,160,12:04:46
+1.0,2012-04-03,2012-04-03 09:44:51,0,3,316f0def43d4dfc03af122f9bdf7b168.jpg,5.6,800,400,09:44:51
+1.0,2012-02-23,2012-02-23 14:56:49,0,3,3256e677903d2a73a6f22066b6d7d3ae.jpg,5.6,800,400,14:56:49
+1.0,2013-02-20,2013-02-20 12:07:25,1,1,3266a2dfc4a2d4a1c05d0e0bc130f1e5.jpg,5.6,800,200,12:07:25
+1.0,2013-01-29,2013-01-29 12:12:44,1,1,32a54f233db009dca69390b30bdaeca2.jpg,5.6,800,100,12:12:44
+1.0,2013-02-20,2013-02-20 12:10:04,1,1,32b2fbe0f6afb8ce592193fabd6c9255.jpg,5.6,800,200,12:10:04
+1.0,2012-03-20,2012-03-20 11:08:19,0,3,33c1314f05c7381b31b4550445d22339.jpg,5.6,800,400,11:08:19
+1.0,2012-03-20,2012-03-20 11:09:32,0,3,33f257dd75514cea6570214580c2bb4c.jpg,5.6,800,400,11:09:32
+1.0,2013-01-29,2013-01-29 12:07:37,1,1,3501d8fd31565af807856e5dd994cd96.jpg,5.6,800,100,12:07:37
+1.0,2012-03-20,2012-03-20 11:04:30,0,3,35219728417fb08c06459cf07fa9183c.jpg,5.6,800,400,11:04:30
+1.0,2013-01-28,2013-01-28 12:40:23,1,1,35a34cb18ca1401d85ff1342ef735765.jpg,5.6,800,100,12:40:23
+1.0,2012-03-20,2012-03-20 15:23:15,0,3,35a7bb0a850480e5cb9f9770673b1bff.jpg,5.6,800,400,15:23:15
+1.0,2013-02-20,2013-02-20 12:10:18,1,1,35ec45078e307fd8b1c577c0e8cac876.jpg,5.6,800,160,12:10:18
+1.0,2012-03-22,2012-03-22 11:10:59,0,3,36274b6ca8b9d4c608a5fcb3c6becb7e.jpg,5.6,800,400,11:10:59
+1.0,2012-04-03,2012-04-03 09:41:22,0,3,36b1b4c1e3d6c92d1488b8d975042ec0.jpg,5.6,800,400,09:41:22
+1.0,2013-01-28,2013-01-28 12:42:37,1,1,36c1315198b250f47631bbf9eff0ee76.jpg,5.6,800,100,12:42:37
+1.0,2012-03-20,2012-03-20 15:24:10,0,3,36f284901c66b588357befba4054dd0c.jpg,5.6,800,400,15:24:10
+1.0,2013-01-29,2013-01-29 12:20:44,1,1,36f2996eac34b55eef28c47382c0421c.jpg,5.6,800,100,12:20:44
+1.0,2012-04-03,2012-04-03 11:05:39,0,3,372484d61563126783bdaa28e0bfe527.jpg,5.6,800,400,11:05:39
+1.0,2012-03-20,2012-03-20 09:43:39,0,3,372a2e41718d2f0aea2ed6f844285693.jpg,5.6,800,400,09:43:39
+1.0,2013-02-20,2013-02-20 12:26:29,1,1,385269d7dfafeb1c680d923e21bbcec4.jpg,5.6,800,100,12:26:29
+1.0,2013-01-28,2013-01-28 12:41:23,1,1,3918fb9da87cb0a647595457ad972604.jpg,5.6,800,100,12:41:23
+1.0,2013-02-20,2013-02-20 12:06:02,1,1,3990759c2f78ddaff48a5d378797a452.jpg,5.6,800,160,12:06:02
+1.0,2012-04-03,2012-04-03 11:12:18,0,3,39fe422e96964753bbf3efa265d4d6c4.jpg,5.6,800,400,11:12:18
+1.0,2012-03-08,2012-03-08 12:12:23,0,3,3a2f1a68bcdb4a2c740966bb454366cd.jpg,5.6,800,400,12:12:23
+1.0,2012-04-03,2012-04-03 09:40:47,0,3,3a83305b240cd1ecebf28a020364d8f8.jpg,5.6,800,400,09:40:47
+1.0,2012-04-03,2012-04-03 09:43:50,0,3,3aa9db01fdd9101a8ff4eac12c60de6a.jpg,5.6,800,400,09:43:50
+1.0,2013-01-28,2013-01-28 12:33:00,1,1,3ab8a0bef3a077342ebfd3e1f5ae1188.jpg,5.6,800,100,12:33:00
+1.0,2013-02-19,2013-02-19 16:31:08,1,1,3ac9410f3e58ce45d4250400b88fcd1d.jpg,5.6,800,320,16:31:08
+1.0,2012-03-20,2012-03-20 11:06:34,0,3,3ae28a250dcf126bacccf0e7c74c1d3e.jpg,5.6,800,400,11:06:34
+1.0,2013-02-20,2013-02-20 12:25:05,1,1,3ae575e25bb80e68c3e766b877378bbe.jpg,5.6,800,100,12:25:05
+1.0,2012-03-08,2012-03-08 12:12:26,0,3,3af770e2aa93efc06f428fce983dfa50.jpg,5.6,800,400,12:12:26
+1.0,2012-03-08,2012-03-08 12:12:26,0,3,3b47146ebd0006f15eb9960e1c136193.jpg,5.6,800,400,12:12:26
+1.0,2013-02-26,2013-02-26 12:06:33,1,1,3b5476470605f87e110ffde76bb01419.jpg,5.6,800,200,12:06:33
+1.0,2013-01-28,2013-01-28 12:33:04,1,1,3beb09afe43dda7535a9db484cae4486.jpg,5.6,800,100,12:33:04
+1.0,2012-03-22,2012-03-22 11:07:46,0,3,3c02ed7a57fa08d1d550a69358af6775.jpg,5.6,800,400,11:07:46
+1.0,2012-03-22,2012-03-22 11:09:48,0,3,3c858007cdc0e41fab859820c6de8e7c.jpg,5.6,800,400,11:09:48
+1.0,2013-02-13,2013-02-13 12:21:46,1,1,3cf9b9af97de2fb1e6c55c131ab3eb43.jpg,5.6,800,100,12:21:46
+1.0,2013-01-29,2013-01-29 12:33:45,1,1,3d3164a6c97dbdb56f0a6c6525072eff.jpg,5.6,800,100,12:33:45
+1.0,2012-03-22,2012-03-22 11:09:51,0,3,3d5e896b00cd4e78f420b0c72af93a2f.jpg,5.6,800,400,11:09:51
+1.0,2012-04-03,2012-04-03 12:30:51,0,3,3df944029a9caeb127dff4beb1632e7a.jpg,5.6,800,400,12:30:51
+1.0,2012-03-20,2012-03-20 09:46:19,0,3,3e004859e56d5f6dbc10753c24d3873f.jpg,5.6,800,400,09:46:19
+1.0,2013-02-13,2013-02-13 13:18:40,1,1,3e2ede9f8eb4b7d2f6f605b89a25eed4.jpg,5.6,800,100,13:18:40
+1.0,2012-04-03,2012-04-03 11:07:08,0,3,3e7a8acbc7629e60b0f889b2bcbd126a.jpg,5.6,800,400,11:07:08
+1.0,2012-03-20,2012-03-20 13:57:35,0,3,3f216bb44d0c18903b0354eb23f934d2.jpg,5.6,800,400,13:57:35
+1.0,2013-01-28,2013-01-28 12:42:36,1,1,3f6d1f8f5927b966f998b4f317ad9b98.jpg,5.6,800,100,12:42:36
+1.0,2013-01-29,2013-01-29 12:20:44,1,1,3fb34a316aa420e962dc44e64a7b5c9a.jpg,5.6,800,100,12:20:44
+1.0,2013-01-28,2013-01-28 12:38:49,1,1,3fc41103c7d3c03607e2e7ba526bf3ab.jpg,5.6,800,100,12:38:49
+1.0,2013-01-29,2013-01-29 16:34:01,1,1,3fd393a736ddce607ca782eb2875c014.jpg,5.6,800,800,16:34:01
+1.0,2012-03-22,2012-03-22 11:10:35,0,3,402b8dcffed69ebfec89e875c047dbbf.jpg,5.6,800,400,11:10:35
+1.0,2013-01-28,2013-01-28 12:33:34,1,1,414969119ada10cf923279d66db7245d.jpg,5.6,800,100,12:33:34
+1.0,2012-03-06,2012-03-06 13:29:23,0,3,4152caca5eeeb30883e468b6585d4b5f.jpg,5.6,800,400,13:29:23
+1.0,2012-03-22,2012-03-22 11:10:56,0,3,4166be66efac2f3e152c46f77b0dbcdc.jpg,5.6,800,400,11:10:56
+1.0,2013-02-19,2013-02-19 16:22:20,1,1,418bc05c6ee7287f0ce27d6dbca106bd.jpg,5.6,800,320,16:22:20
+1.0,2013-02-13,2013-02-13 12:17:02,1,1,41f6d268320add88e114c03fe4198af6.jpg,5.6,800,100,12:17:02
+1.0,2013-01-28,2013-01-28 12:40:07,1,1,4220d05e0306be7c09859152328e77be.jpg,5.6,800,100,12:40:07
+1.0,2013-02-20,2013-02-20 12:07:26,1,1,424d145a0a147add9d3a70098f043517.jpg,5.6,800,200,12:07:26
+1.0,2013-02-26,2013-02-26 12:21:18,1,1,42bde673ce07c257080a480951479cc5.jpg,5.6,800,200,12:21:18
+1.0,2013-01-29,2013-01-29 12:30:54,1,1,42dfd9e8bdc39ac55a8865cf6367a4d6.jpg,5.6,800,100,12:30:54
+1.0,2012-03-20,2012-03-20 15:23:14,0,3,432e45fe5ff0dc912557b540e8dd3a7e.jpg,5.6,800,400,15:23:14
+1.0,2013-02-26,2013-02-26 12:44:14,1,1,43b3a54b61a1e3441651fc5078570e53.jpg,5.6,800,200,12:44:14
+1.0,2012-04-03,2012-04-03 09:36:15,0,3,4413608f56f79737d46eb48970e6eee5.jpg,5.6,800,400,09:36:15
+1.0,2012-02-23,2012-02-23 14:55:38,0,3,4416e5ee21c9a1b4fd0606925707535d.jpg,5.6,800,400,14:55:38
+1.0,2013-01-28,2013-01-28 12:34:13,1,1,44176c42ed799e45abe6e87d5a9b5251.jpg,5.6,800,100,12:34:13
+1.0,2013-01-28,2013-01-28 12:38:52,1,1,445ab8599e4f24d09ccc8df285fc9e7f.jpg,5.6,800,100,12:38:52
+1.0,2012-03-20,2012-03-20 12:36:55,0,3,44feff1c5f47e6a181654793e39134b9.jpg,5.6,800,400,12:36:55
+1.0,2013-02-20,2013-02-20 12:02:22,1,1,4524ab9bf7ce7deee1f0a159b21f8a80.jpg,5.6,800,160,12:02:22
+1.0,2012-03-20,2012-03-20 12:32:18,0,3,4527e151bfb7a2e4a7ed70d16f02cf76.jpg,5.6,800,400,12:32:18
+1.0,2012-03-06,2012-03-06 13:32:36,0,3,455ab61b97787ccd136abd753bfc600f.jpg,5.6,800,400,13:32:36
+1.0,2013-02-19,2013-02-19 16:25:54,1,1,4565fa9de859c819b0c73a10bc8376fb.jpg,5.6,800,320,16:25:54
+1.0,2013-02-13,2013-02-13 12:10:32,1,1,459c01f4ad7a89de760a4fee9a8ae3dc.jpg,5.6,800,100,12:10:32
+1.0,2012-04-03,2012-04-03 11:08:40,0,3,45e3a36e4ee59d1f66cf61c17dd12d75.jpg,5.6,800,400,11:08:40
+1.0,2012-04-03,2012-04-03 12:33:16,0,3,4621170dec6317be08bb62308e37284d.jpg,5.6,800,400,12:33:16
+1.0,2012-04-03,2012-04-03 11:07:10,0,3,4644e5ff00b00a6d2646ef0506da517c.jpg,5.6,800,400,11:07:10
+1.0,2012-03-20,2012-03-20 12:35:10,0,3,46e5fe85e192d7e843596cb0f23acd83.jpg,5.6,800,400,12:35:10
+1.0,2012-03-20,2012-03-20 13:58:37,0,3,4702543a1f3c3cafbd53a86f98ea0a29.jpg,5.6,800,400,13:58:37
+1.0,2012-04-03,2012-04-03 09:36:56,0,3,473c8735081c62f459cc5667cd8af1c3.jpg,5.6,800,400,09:36:56
+1.0,2013-01-29,2013-01-29 12:10:35,1,1,474135fc745c0ed1919e0809d940ce9d.jpg,5.6,800,100,12:10:35
+1.0,2013-01-28,2013-01-28 12:34:03,1,1,47494e88f5dd6f42f5b44c5bcbb266ad.jpg,5.6,800,100,12:34:03
+1.0,2012-03-20,2012-03-20 11:05:45,0,3,47b65601e03b8a55997ce47b2084ed2d.jpg,5.6,800,400,11:05:45
+1.0,2013-02-13,2013-02-13 12:21:35,1,1,47d4db7fe829d7fc05c4ff357fe454d2.jpg,5.6,800,100,12:21:35
+1.0,2012-03-20,2012-03-20 09:41:25,0,3,47e619e62239a8ccabb96320a2e8d4c2.jpg,5.6,800,400,09:41:25
+1.0,2013-02-26,2013-02-26 12:05:03,1,1,48020ef19566cc04e6ad870baed1aecb.jpg,5.6,800,160,12:05:03
+1.0,2013-02-20,2013-02-20 12:43:17,1,1,485fa4d5850cc4cbf258076c13403df8.jpg,5.6,800,100,12:43:17
+1.0,2013-02-26,2013-02-26 12:11:11,1,1,4880bbb4fa5f327d76684b62877af2bc.jpg,5.6,800,160,12:11:11
+1.0,2012-03-20,2012-03-20 11:05:51,0,3,4885b363184f768537539a802b678083.jpg,5.6,800,400,11:05:51
+1.0,2012-03-22,2012-03-22 11:08:28,0,3,48d2c8d6e570f75bb6a234ef1c87df02.jpg,5.6,800,400,11:08:28
+1.0,2012-03-20,2012-03-20 12:36:51,0,3,49774eaea824f811317cc7b1b9f2692e.jpg,5.6,800,400,12:36:51
+1.0,2013-02-13,2013-02-13 13:13:03,1,1,497f11abb36f751f700c23ba1132e5d5.jpg,5.6,800,100,13:13:03
+1.0,2013-02-13,2013-02-13 12:47:30,1,1,49b55d23ad99af03ecb1ecff4d6c0ff1.jpg,5.6,800,100,12:47:30
+1.0,2013-02-20,2013-02-20 12:16:38,1,1,49b8fd318faaf17595acca6c277253b8.jpg,5.6,800,125,12:16:38
+1.0,2012-03-20,2012-03-20 15:23:40,0,3,49b9684ed54986df85658a3387b45fce.jpg,5.6,800,400,15:23:40
+1.0,2013-01-28,2013-01-28 12:38:55,1,1,49c531ef1473d4b20bf747b0e3362699.jpg,5.6,800,100,12:38:55
+1.0,2013-02-20,2013-02-20 12:34:11,1,1,49dd900f9a848fbe263b3affa628fcc5.jpg,5.6,800,100,12:34:11
+1.0,2012-03-20,2012-03-20 11:09:20,0,3,4a1caf861b77c3d1663e0af3820ae0a2.jpg,5.6,800,400,11:09:20
+1.0,2013-02-13,2013-02-13 13:25:47,1,1,4b80a970cbb70098cb70c2591482b86f.jpg,5.6,800,100,13:25:47
+1.0,2012-03-20,2012-03-20 13:56:09,0,3,4c25a99d5095c0e3900a17d715b77607.jpg,5.6,800,400,13:56:09
+1.0,2013-01-29,2013-01-29 12:34:02,1,1,4c5014b86c6bfe766fb909dec75f051c.jpg,5.6,800,100,12:34:02
+1.0,2013-01-29,2013-01-29 16:24:49,1,1,4ccf29b6da976c73a886f592ea720872.jpg,5.6,800,400,16:24:49
+1.0,2013-02-19,2013-02-19 16:32:41,1,1,4d9d281655402027530b05fde227cf27.jpg,5.6,800,320,16:32:41
+1.0,2013-01-29,2013-01-29 16:21:25,1,1,4dd525c0903d2b2b275226f0c25aeb53.jpg,5.6,800,200,16:21:25
+1.0,2013-01-28,2013-01-28 12:33:20,1,1,4e8bac7798158b92c2ea9363a948fa73.jpg,5.6,800,100,12:33:20
+1.0,2012-04-03,2012-04-03 11:05:08,0,3,4ee67d2cd463e2c033843f6c2b8179e5.jpg,5.6,800,400,11:05:08
+1.0,2013-02-20,2013-02-20 12:39:30,1,1,4f0ec8e8b07c32db093e6fe5ac3da855.jpg,5.6,800,100,12:39:30
+1.0,2012-04-03,2012-04-03 11:05:33,0,3,4f2a258435279350f293980f9d877cf7.jpg,5.6,800,400,11:05:33
+1.0,2013-01-28,2013-01-28 12:41:34,1,1,4f4967358058ceccb4e84d353effddc7.jpg,5.6,800,100,12:41:34
+1.0,2012-04-03,2012-04-03 11:07:09,0,3,4f7b670a0f68146f09e94e9d00152977.jpg,5.6,800,400,11:07:09
+1.0,2013-02-26,2013-02-26 12:13:25,1,1,4f93f904a3ee738601c6b41f4cc9293d.jpg,5.6,800,160,12:13:25
+1.0,2013-01-28,2013-01-28 12:38:45,1,1,500d21b17ac68aa6f4d7e1b3269944fc.jpg,5.6,800,100,12:38:45
+1.0,2012-03-08,2012-03-08 12:13:19,0,3,50412ed5b49539eb5c7925b10bc8b6ab.jpg,5.6,800,400,12:13:19
+1.0,2012-03-20,2012-03-20 11:08:48,0,3,50815c6d05d699bb041560cfd950adf0.jpg,5.6,800,400,11:08:48
+1.0,2012-03-22,2012-03-22 13:58:27,0,3,50c19b5192ee557a14a22ea4e4f49370.jpg,5.6,800,400,13:58:27
+1.0,2012-03-22,2012-03-22 11:08:01,0,3,50c391b3e8bc594a4bd0e2246529bfb9.jpg,5.6,800,400,11:08:01
+1.0,2013-01-29,2013-01-29 16:34:26,1,1,50eb85e52230b00f06800db3ed1acc85.jpg,5.6,800,800,16:34:26
+1.0,2012-04-03,2012-04-03 09:41:17,0,3,5115dc62c0f7999d3c159ba819beb27b.jpg,5.6,800,400,09:41:17
+1.0,2012-04-03,2012-04-03 11:11:17,0,3,5118bf9cc0fc84c1ecef1238458ea3dc.jpg,5.6,800,400,11:11:17
+1.0,2013-01-29,2013-01-29 16:33:59,1,1,51484b4c2fd5cadf3b000cd291da5728.jpg,5.6,800,500,16:33:59
+1.0,2013-01-28,2013-01-28 12:42:29,1,1,51c064264059ff89df94b3ac65df1f4c.jpg,5.6,800,100,12:42:29
+1.0,2013-01-28,2013-01-28 12:37:51,1,1,51dde6803cf550e313566b22f79ec931.jpg,5.6,800,100,12:37:51
+1.0,2012-03-22,2012-03-22 13:58:34,0,3,520f393dab9e5bf92c55c87e444aa87f.jpg,5.6,800,400,13:58:34
+1.0,2012-04-03,2012-04-03 11:09:33,0,3,5327b040bba9ea929260cfdd370f791c.jpg,5.6,800,400,11:09:33
+1.0,2013-01-29,2013-01-29 12:09:56,1,1,5343d606ed7096bd6fd5766658bff553.jpg,5.6,800,100,12:09:56
+1.0,2013-01-29,2013-01-29 12:12:01,1,1,535c8f7e5de17ee7adedd2fbb63ef15f.jpg,5.6,800,100,12:12:01
+1.0,2013-01-28,2013-01-28 12:34:21,1,1,53617ac8c8de417d7ec7e3b2650c27c7.jpg,5.6,800,100,12:34:21
+1.0,2013-02-20,2013-02-20 12:25:15,1,1,5384c4829d586dc14215e1b73394197a.jpg,5.6,800,100,12:25:15
+1.0,2013-01-28,2013-01-28 12:33:08,1,1,53b174d0f510755aa25a6f2536e1a056.jpg,5.6,800,100,12:33:08
+1.0,2012-04-03,2012-04-03 11:07:48,0,3,53b2538ef06873738dc2d4377f7db054.jpg,5.6,800,400,11:07:48
+1.0,2013-02-20,2013-02-20 12:19:42,1,1,53c1761dbbccf17c87a748a0209703e5.jpg,5.6,800,100,12:19:42
+1.0,2013-01-28,2013-01-28 12:40:56,1,1,53c2a456e05b2105967989dfa3dbebd9.jpg,5.6,800,100,12:40:56
+1.0,2013-01-28,2013-01-28 12:38:59,1,1,53dfd41b925c7f2e46af8344bf3d4d28.jpg,5.6,800,100,12:38:59
+1.0,2013-02-26,2013-02-26 12:05:14,1,1,546d0b96200c9c46ef41c7428b3122ff.jpg,5.6,800,160,12:05:14
+1.0,2012-04-03,2012-04-03 09:35:25,0,3,549be52e5f6a769b2e935a55696379b0.jpg,5.6,800,400,09:35:25
+1.0,2013-02-13,2013-02-13 13:12:18,1,1,54fc6a3bca132d0cfb63ad27c5b5ed7a.jpg,5.6,800,100,13:12:18
+1.0,2013-01-29,2013-01-29 16:34:13,1,1,550c047b739895ed6dfd105e571aad00.jpg,5.6,800,400,16:34:13
+1.0,2013-02-20,2013-02-20 12:16:44,1,1,55415dcc54534ee8631eebbe128f6c38.jpg,5.6,800,125,12:16:44
+1.0,2012-03-13,2012-03-13 11:11:08,0,3,55738c7bada7945f39ec2e6efaf1f3c8.jpg,5.6,800,400,11:11:08
+1.0,2013-01-29,2013-01-29 12:31:43,1,1,55e8114285b36e8e9a1679b2be677896.jpg,5.6,800,100,12:31:43
+1.0,2012-04-03,2012-04-03 12:33:04,0,3,57f6e312556dce2e441f2edd4b75287a.jpg,5.6,800,400,12:33:04
+1.0,2013-02-13,2013-02-13 12:16:20,1,1,58038db35781010a8f6604369f7b0d95.jpg,5.6,800,100,12:16:20
+1.0,2012-03-08,2012-03-08 10:48:25,0,3,580e3968c6dbf8a5d88aeacbf8c23934.jpg,5.6,800,400,10:48:25
+1.0,2012-03-20,2012-03-20 13:55:48,0,3,58941801551144e9ceac9570387eff02.jpg,5.6,800,400,13:55:48
+1.0,2012-03-08,2012-03-08 10:44:00,0,3,58aec5a94fc3a359f285f8fef72800ca.jpg,5.6,800,400,10:44:00
+1.0,2012-03-06,2012-03-06 13:30:18,0,3,591081bc465f7b33ed7f0a4a5b71c17e.jpg,5.6,800,400,13:30:18
+1.0,2013-01-28,2013-01-28 12:41:21,1,1,591978c21f4afc0e7e2021053a447ae3.jpg,5.6,800,100,12:41:21
+1.0,2013-02-19,2013-02-19 16:14:39,1,1,59967feabdb64d264d7c5e193db83144.jpg,5.6,800,320,16:14:39
+1.0,2012-03-06,2012-03-06 13:28:02,0,3,59a9bbc68f5482a390787166a544f569.jpg,5.6,800,400,13:28:02
+1.0,2013-02-20,2013-02-20 12:09:47,1,1,5a1e835cc4b23894fdc43205a45c2b26.jpg,5.6,800,200,12:09:47
+1.0,2013-02-26,2013-02-26 12:15:31,1,1,5a59f9255423f7fcf87f24f7adc0109b.jpg,5.6,800,200,12:15:31
+1.0,2012-04-24,2012-04-24 09:41:00,0,3,5aa8d52d812971547739a5e418f1d3d6.jpg,5.6,800,400,09:41:00
+1.0,2013-02-19,2013-02-19 16:19:35,1,1,5ac67b0703ac5afb77dacec6dfaa1cd2.jpg,5.6,800,320,16:19:35
+1.0,2012-03-06,2012-03-06 13:30:39,0,3,5ad88d7f968acfb6412c17bf521767c2.jpg,5.6,800,400,13:30:39
+1.0,2012-04-03,2012-04-03 11:12:02,0,3,5adf29952dd8d6ed0a8652bd43f64a26.jpg,5.6,800,400,11:12:02
+1.0,2012-03-13,2012-03-13 11:09:42,0,3,5aec8956109989c77cece3af8780d24a.jpg,5.6,800,400,11:09:42
+1.0,2012-03-20,2012-03-20 12:36:51,0,3,5b38e32edb13811b5105c697f410fe68.jpg,5.6,800,400,12:36:51
+1.0,2013-02-20,2013-02-20 12:13:50,1,1,5ba1830ce4ef2b65966bfbafa6ffa3dd.jpg,5.6,800,160,12:13:50
+1.0,2013-02-26,2013-02-26 12:16:26,1,1,5be2aee6486776da40cbcf2728d0563f.jpg,5.6,800,160,12:16:26
+1.0,2013-02-19,2013-02-19 16:17:48,1,1,5c0295b93199f3eee982aa1c763427ad.jpg,5.6,800,320,16:17:48
+1.0,2013-01-29,2013-01-29 16:32:24,1,1,5c1e8e1a3a0aca74d78733c87fd81bd3.jpg,5.6,800,500,16:32:24
+1.0,2012-03-20,2012-03-20 13:55:45,0,3,5c32dffa66b21559812440d8b278aaf2.jpg,5.6,800,400,13:55:45
+1.0,2013-02-19,2013-02-19 16:31:18,1,1,5c978f9bba355081321b5ad63eecb0b2.jpg,5.6,800,320,16:31:18
+1.0,2012-03-20,2012-03-20 12:33:07,0,3,5cf49d5e51720ef1bed907c4d85e08eb.jpg,5.6,800,400,12:33:07
+1.0,2012-04-03,2012-04-03 09:36:22,0,3,5cf8f614e25d70c2564fe29bd5a4579e.jpg,5.6,800,400,09:36:22
+1.0,2013-01-29,2013-01-29 12:19:14,1,1,5e2c133b84a19f2477f505694783a2a9.jpg,5.6,800,100,12:19:14
+1.0,2012-03-06,2012-03-06 13:33:52,0,3,5e401a4374a989e98c827643151f09b5.jpg,5.6,800,400,13:33:52
+1.0,2012-03-20,2012-03-20 12:33:08,0,3,5f953d727e931308913dc6ec46af17aa.jpg,5.6,800,400,12:33:08
+1.0,2012-04-03,2012-04-03 09:42:29,0,3,5fc482ec3ee70fc04baa1c791192d1f8.jpg,5.6,800,400,09:42:29
+1.0,2013-02-19,2013-02-19 16:14:29,1,1,5fda23dc035253b95384779071c1a8bd.jpg,5.6,800,320,16:14:29
+1.0,2013-01-29,2013-01-29 12:20:14,1,1,6055107573c8ad96b86181cb803e3028.jpg,5.6,800,100,12:20:14
+1.0,2013-01-29,2013-01-29 12:34:28,1,1,606a18b82a8fa264d86f870614329fad.jpg,5.6,800,100,12:34:28
+1.0,2013-01-28,2013-01-28 12:33:22,1,1,606c8072af89f3b31d536c88ad11f6ce.jpg,5.6,800,100,12:33:22
+1.0,2012-02-23,2012-02-23 14:56:11,0,3,606dd496cfa49e29aec49a12ab194166.jpg,5.6,800,400,14:56:11
+1.0,2013-02-19,2013-02-19 16:22:09,1,1,606e9f203a4a3ea76ab22e11a89657ea.jpg,5.6,800,320,16:22:09
+1.0,2013-02-20,2013-02-20 12:13:14,1,1,60cc8de43bdefcb070bec75529564c36.jpg,5.6,800,160,12:13:14
+1.0,2012-03-20,2012-03-20 12:31:20,0,3,622ff1fade5ed2017d315ce69bcf61e2.jpg,5.6,800,400,12:31:20
+1.0,2012-03-20,2012-03-20 15:24:57,0,3,6232784c7a17df6f1a563001ab9c4de9.jpg,5.6,800,400,15:24:57
+1.0,2012-03-08,2012-03-08 10:46:22,0,3,624e0eff4f6a36ec2962bed9de25aabd.jpg,5.6,800,400,10:46:22
+1.0,2012-04-03,2012-04-03 11:07:59,0,3,62bba8b318b4597913269bdff8b2e00c.jpg,5.6,800,400,11:07:59
+1.0,2013-02-26,2013-02-26 12:08:56,1,1,62cb9d5aaeee650b5b802d0e03cfb76c.jpg,5.6,800,200,12:08:56
+1.0,2012-04-03,2012-04-03 11:08:44,0,3,63cada4b89f8e9136306538840584d5f.jpg,5.6,800,400,11:08:44
+1.0,2013-02-19,2013-02-19 16:21:52,1,1,63d4d2c643a7d0c2dc4fd56fc8193b79.jpg,5.6,800,320,16:21:52
+1.0,2013-02-19,2013-02-19 16:28:52,1,1,63e4e2fbfb68c8cec89cd6f98b60d838.jpg,5.6,800,320,16:28:52
+1.0,2012-03-22,2012-03-22 11:08:47,0,3,647ef90031b8b3dc169c1a3cda935c01.jpg,5.6,800,400,11:08:47
+1.0,2012-03-08,2012-03-08 10:43:51,0,3,64b09ba203ea1256210f0bb19ef5cc36.jpg,5.6,800,400,10:43:51
+1.0,2013-02-26,2013-02-26 12:06:48,1,1,64cec20e772c1053d9bd574256ef8ac7.jpg,5.6,800,160,12:06:48
+1.0,2013-02-26,2013-02-26 12:09:30,1,1,6546049e338ef78ec79ee36c7ac3e9da.jpg,5.6,800,200,12:09:30
+1.0,2012-04-03,2012-04-03 11:06:29,0,3,654a8a914700c7efbaa8957a9386b3a5.jpg,5.6,800,400,11:06:29
+1.0,2013-01-29,2013-01-29 12:34:32,1,1,659ea5b4172374898c0d28dba5fea1c0.jpg,5.6,800,100,12:34:32
+1.0,2013-01-28,2013-01-28 12:33:30,1,1,65c2b2794d74c3de5facae47f8c44d39.jpg,5.6,800,100,12:33:30
+1.0,2013-01-29,2013-01-29 16:25:22,1,1,6640505543b1f7c9053fb667bb122b1c.jpg,5.6,800,400,16:25:22
+1.0,2012-03-20,2012-03-20 15:22:24,0,3,66e48feca51b1e026aa9d2096978e17c.jpg,5.6,800,400,15:22:24
+1.0,2012-03-20,2012-03-20 12:32:52,0,3,66e8b82d73341091b7dc3169719fc941.jpg,5.6,800,400,12:32:52
+1.0,2012-03-08,2012-03-08 14:55:48,0,3,66edbcaca1cea7d1551fe3f016b1d517.jpg,5.6,800,400,14:55:48
+1.0,2013-01-29,2013-01-29 16:23:58,1,1,67603203f715702cbe71adbfb6793f21.jpg,5.6,800,640,16:23:58
+1.0,2013-02-26,2013-02-26 12:04:21,1,1,680f62d3d78a336bf4e2ef78b0f2b33c.jpg,5.6,800,160,12:04:21
+1.0,2012-04-03,2012-04-03 09:42:59,0,3,681b68725085c62f7e4cc2daffd5bfa7.jpg,5.6,800,400,09:42:59
+1.0,2012-03-22,2012-03-22 14:02:26,0,3,68703b6c4e7718dee43ddff70aa20f1b.jpg,5.6,800,400,14:02:26
+1.0,2012-03-22,2012-03-22 11:08:01,0,3,68722612b33f0283e0caadb76ce1d689.jpg,5.6,800,400,11:08:01
+1.0,2013-01-29,2013-01-29 16:33:03,1,1,6874bcbc8f48a2c7a7463d123ca48cd8.jpg,5.6,800,640,16:33:03
+1.0,2012-04-03,2012-04-03 12:33:58,0,3,6894a051478ec3d03e98a96a03d231ae.jpg,5.6,800,400,12:33:58
+1.0,2013-01-29,2013-01-29 16:34:17,1,1,689f3b0fbb4ee136e08c3b0b571d560a.jpg,5.6,800,640,16:34:17
+1.0,2012-03-20,2012-03-20 11:04:24,0,3,68ade263509acffd74942769e9a09885.jpg,5.6,800,400,11:04:24
+1.0,2013-01-28,2013-01-28 12:34:47,1,1,690af313bdeaa9469efbf14a42d4e0b6.jpg,5.6,800,100,12:34:47
+1.0,2012-02-23,2012-02-23 14:56:50,0,3,693f3618e32bf6623cece10b191d43f1.jpg,5.6,800,400,14:56:50
+1.0,2013-01-29,2013-01-29 12:27:20,1,1,6978b0aa11c650d49f5b50af53a0c384.jpg,5.6,800,100,12:27:20
+1.0,2013-02-20,2013-02-20 12:06:28,1,1,69dbc1fb5113852bab16081846e79bfe.jpg,5.6,800,200,12:06:28
+1.0,2013-01-29,2013-01-29 12:13:52,1,1,69eedf62323b3f3d72697c538ab7c05a.jpg,5.6,800,100,12:13:52
+1.0,2013-02-19,2013-02-19 16:17:59,1,1,6a00e88acbd6d636dea4a196eb09f7bf.jpg,5.6,800,320,16:17:59
+1.0,2012-02-23,2012-02-23 14:54:43,0,3,6a0cf62610d798d7a01a1747a0444483.jpg,5.6,800,400,14:54:43
+1.0,2013-02-20,2013-02-20 12:08:44,1,1,6a52293956fd9374035c102a512fcce2.jpg,5.6,800,200,12:08:44
+1.0,2012-03-13,2012-03-13 11:12:20,0,3,6aa0d6d4724c97df8b5d9d3d2a1e923c.jpg,5.6,800,400,11:12:20
+1.0,2012-03-22,2012-03-22 11:08:43,0,3,6aa4dec55eaa0b3b959af38c0e7407fd.jpg,5.6,800,400,11:08:43
+1.0,2012-04-03,2012-04-03 09:37:56,0,3,6abde73be43aad147d7ce7884075184a.jpg,5.6,800,400,09:37:56
+1.0,2012-03-06,2012-03-06 13:32:44,0,3,6ac5264e79734a67cc07b607f3134fda.jpg,5.6,800,400,13:32:44
+1.0,2013-02-13,2013-02-13 12:13:37,1,1,6af96fe78356a7bb5662027beb87c52c.jpg,5.6,800,100,12:13:37
+1.0,2012-03-20,2012-03-20 11:04:27,0,3,6b0724213c5ea88772ae9443e11602b1.jpg,5.6,800,400,11:04:27
+1.0,2012-04-03,2012-04-03 09:43:45,0,3,6b0912dae838196960deabb0bb0788c4.jpg,5.6,800,400,09:43:45
+1.0,2013-01-28,2013-01-28 12:33:25,1,1,6b201e5f9c7df31bee9f319daead6c90.jpg,5.6,800,100,12:33:25
+1.0,2013-02-26,2013-02-26 12:26:03,1,1,6b9d8033efb9fb1cc4201e91dc17c6a2.jpg,5.6,800,200,12:26:03
+1.0,2013-02-26,2013-02-26 12:05:09,1,1,6c208a3e7691f5a3611c0744b8b29a9e.jpg,5.6,800,160,12:05:09
+1.0,2012-03-08,2012-03-08 14:54:10,0,3,6c453ef4270d2c79d5b2cf26ccade98f.jpg,5.6,800,400,14:54:10
+1.0,2013-02-26,2013-02-26 12:08:30,1,1,6ca98af5cec8b2d0b9ab999b0fd26cb9.jpg,5.6,800,200,12:08:30
+1.0,2012-03-13,2012-03-13 11:12:17,0,3,6ccde52b438a476b005145c4c24b0d68.jpg,5.6,800,400,11:12:17
+1.0,2012-03-20,2012-03-20 13:59:29,0,3,6cef83ed25ad15dc665efa750e3697cc.jpg,5.6,800,400,13:59:29
+1.0,2012-03-20,2012-03-20 15:24:21,0,3,6d3df677907a3ccf6922d2c0cddcbf21.jpg,5.6,800,400,15:24:21
+1.0,2012-04-03,2012-04-03 11:10:47,0,3,6d98a9ba85788b2e390f1ab3a6da0553.jpg,5.6,800,400,11:10:47
+1.0,2013-02-19,2013-02-19 16:28:21,1,1,6da64a8087532222a9b05243014ec1f3.jpg,5.6,800,400,16:28:21
+1.0,2013-02-26,2013-02-26 12:08:13,1,1,6dc1231de8f942b42cce2e960b3079bd.jpg,5.6,800,200,12:08:13
+1.0,2012-02-23,2012-02-23 14:58:35,0,3,6e099d7002cf1fcc33f5ef664b476c28.jpg,5.6,800,400,14:58:35
+1.0,2012-03-20,2012-03-20 09:47:34,0,3,6e364e46e43a29fb4996a0ffa2cdfe58.jpg,5.6,800,400,09:47:34
+1.0,2013-01-29,2013-01-29 16:33:55,1,1,6e402870540369aa77f30ff03c093df7.jpg,5.6,800,640,16:33:55
+1.0,2013-02-26,2013-02-26 12:05:21,1,1,6e52205d3a4a29047604dc40134c5aed.jpg,5.6,800,160,12:05:21
+1.0,2012-03-20,2012-03-20 11:05:51,0,3,6ed16c82a856b87c6d2d4f20af8ca5de.jpg,5.6,800,400,11:05:51
+1.0,2012-04-03,2012-04-03 12:32:56,0,3,6ed7a833ada73c32e4adbbae6c470f97.jpg,5.6,800,400,12:32:56
+1.0,2013-01-28,2013-01-28 12:41:04,1,1,6f9a7ba8d34accdb6228454ffbbf9ea5.jpg,5.6,800,100,12:41:04
+1.0,2013-02-13,2013-02-13 13:20:07,1,1,6fb57eec255b8c6060ec0cce2649079a.jpg,5.6,800,100,13:20:07
+1.0,2012-04-03,2012-04-03 09:41:49,0,3,6fb7621652ddaa9dbcfb233fc93ab88c.jpg,5.6,800,400,09:41:49
+1.0,2012-02-23,2012-02-23 14:55:42,0,3,6fd07a34d0f8a6e0ecd4d13c9cb6e5ad.jpg,5.6,800,400,14:55:42
+1.0,2013-02-20,2013-02-20 12:24:16,1,1,6fec1a2e5922001f82d2e05ed1437a5f.jpg,5.6,800,100,12:24:16
+1.0,2013-02-13,2013-02-13 12:33:15,1,1,7052390c4ce7c71eaeed6bf864a5f008.jpg,5.6,800,100,12:33:15
+1.0,2012-04-03,2012-04-03 12:32:31,0,3,7074d76783636f29b65883bd57da4505.jpg,5.6,800,400,12:32:31
+1.0,2013-01-29,2013-01-29 12:08:49,1,1,70911f882096246412f686e51289a705.jpg,5.6,800,100,12:08:49
+1.0,2013-01-29,2013-01-29 16:26:10,1,1,70928710e693b40a6c2c00863a622ac8.jpg,5.6,800,400,16:26:10
+1.0,2013-02-26,2013-02-26 12:08:13,1,1,71844e0a899c5a9057b69b00ee62f2d1.jpg,5.6,800,200,12:08:13
+1.0,2013-02-20,2013-02-20 12:04:36,1,1,71b0d7dbe1e9f81f6662470b4bd20095.jpg,5.6,800,200,12:04:36
+1.0,2012-03-20,2012-03-20 15:24:33,0,3,71e06bbc6bd70f94c7b0003a8a56864e.jpg,5.6,800,400,15:24:33
+1.0,2012-03-22,2012-03-22 13:58:28,0,3,721fe8fa0dfdfce1e6abcd74c5c3bfbe.jpg,5.6,800,400,13:58:28
+1.0,2013-02-20,2013-02-20 12:19:21,1,1,724f68f5cab7b3bcc6a31c13953ae8f1.jpg,5.6,800,100,12:19:21
+1.0,2012-03-20,2012-03-20 11:05:39,0,3,72595aaa72483dded90389e992a7acdd.jpg,5.6,800,400,11:05:39
+1.0,2012-03-08,2012-03-08 14:54:30,0,3,72abd5fde204780e7b270f3746aef3fa.jpg,5.6,800,400,14:54:30
+1.0,2012-03-20,2012-03-20 11:07:04,0,3,72b3590e710a4401c0af39869a28d0b5.jpg,5.6,800,400,11:07:04
+1.0,2013-02-13,2013-02-13 12:54:06,1,1,731b551c65a26bc9d29b03b52917f9f4.jpg,5.6,800,100,12:54:06
+1.0,2013-02-13,2013-02-13 13:14:27,1,1,73367e488d122af9a45f7806a9007386.jpg,5.6,800,100,13:14:27
+1.0,2012-04-03,2012-04-03 11:10:47,0,3,7472e17912f73be7c57baad3ebc0def4.jpg,5.6,800,400,11:10:47
+1.0,2013-02-19,2013-02-19 16:16:02,1,1,74b5224a8963a1b421b3624d0d369b30.jpg,5.6,800,320,16:16:02
+1.0,2012-03-20,2012-03-20 12:34:09,0,3,750f6a4c26154fbc9d2ef9f1b1fb309f.jpg,5.6,800,400,12:34:09
+1.0,2012-03-20,2012-03-20 12:30:41,0,3,752e1d38cdc424d4408012437ea583e7.jpg,5.6,800,400,12:30:41
+1.0,2012-03-20,2012-03-20 11:09:23,0,3,754c1feaee9a7369a4933bce9e169662.jpg,5.6,800,400,11:09:23
+1.0,2013-02-26,2013-02-26 12:16:22,1,1,755e1df5b49d8ccbe0592d4b45b73ce1.jpg,5.6,800,200,12:16:22
+1.0,2013-02-13,2013-02-13 12:09:06,1,1,7568b7be41355679d2fbbf1affaa5ea8.jpg,5.6,800,100,12:09:06
+1.0,2013-01-29,2013-01-29 16:30:30,1,1,7579bc8729b76cc20cf4dc36872e2a6a.jpg,5.6,800,400,16:30:30
+1.0,2013-01-28,2013-01-28 12:38:20,1,1,75912ef5e1e800b3c35347338cd9bcc4.jpg,5.6,800,100,12:38:20
+1.0,2012-04-03,2012-04-03 09:43:11,0,3,75a114ad5867d50d5af02946e2c49e23.jpg,5.6,800,400,09:43:11
+1.0,2013-01-29,2013-01-29 12:20:53,1,1,761e718e9a1672900bca5e96bad789cf.jpg,5.6,800,100,12:20:53
+1.0,2012-03-08,2012-03-08 12:13:11,0,3,765d76f05760f15050ac57520bc48428.jpg,5.6,800,400,12:13:11
+1.0,2012-03-13,2012-03-13 11:11:25,0,3,76c94b8d6d42747d32d59eb5517f2813.jpg,5.6,800,400,11:11:25
+1.0,2013-02-20,2013-02-20 12:34:27,1,1,76fbd4e521395ee4c15778697fbcf8ab.jpg,5.6,800,100,12:34:27
+1.0,2013-01-28,2013-01-28 12:42:18,1,1,772bf5a8871da000a63dec1dc40746a2.jpg,5.6,800,100,12:42:18
+1.0,2012-03-20,2012-03-20 13:56:14,0,3,77573bc5f5139cfb66461753cee3fd83.jpg,5.6,800,400,13:56:14
+1.0,2012-04-03,2012-04-03 11:11:16,0,3,77769c463b2e6589a7a7e72ae3e8378c.jpg,5.6,800,400,11:11:16
+1.0,2012-03-13,2012-03-13 11:09:41,0,3,77c6ebb9145bfecf24d0cb12b8bda142.jpg,5.6,800,400,11:09:41
+1.0,2012-04-03,2012-04-03 11:09:16,0,3,781882f60d49a88bd622a01d98144685.jpg,5.6,800,400,11:09:16
+1.0,2013-02-20,2013-02-20 12:14:16,1,1,782ed1ac7095bcdeeb7e42aec32322ec.jpg,5.6,800,125,12:14:16
+1.0,2013-01-28,2013-01-28 12:35:25,1,1,78614cc8d50fa5ea6622bc1a9104d758.jpg,5.6,800,100,12:35:25
+1.0,2013-01-28,2013-01-28 12:42:37,1,1,789a5c6b365079f6569e85385b7cfa24.jpg,5.6,800,100,12:42:37
+1.0,2013-02-20,2013-02-20 12:13:49,1,1,78e7c462b0315a58ff3dbc2ebf3eb3ea.jpg,5.6,800,125,12:13:49
+1.0,2013-02-20,2013-02-20 12:01:43,1,1,78f1699f4d258b34d31c664de2808bcb.jpg,5.6,800,160,12:01:43
+1.0,2012-03-08,2012-03-08 10:46:02,0,3,79047ac590a2dfc01610414f73e962b1.jpg,5.6,800,400,10:46:02
+1.0,2013-01-29,2013-01-29 16:21:16,1,1,79b09556e2d810987e74f563631dafb1.jpg,5.6,800,250,16:21:16
+1.0,2012-04-03,2012-04-03 09:35:14,0,3,79dacf9a642c0da4fddaac181d3664c4.jpg,5.6,800,400,09:35:14
+1.0,2012-03-13,2012-03-13 11:09:40,0,3,7a0ae68ab3e97394d3926731345745ef.jpg,5.6,800,400,11:09:40
+1.0,2012-03-06,2012-03-06 13:29:24,0,3,7a2f1fa6c799040609c038c180cbd500.jpg,5.6,800,400,13:29:24
+1.0,2012-04-03,2012-04-03 09:36:11,0,3,7ac524b0c372790153e6748caf3bfd79.jpg,5.6,800,400,09:36:11
+1.0,2012-03-20,2012-03-20 12:33:03,0,3,7acec1eb0d5406be4b3ba23b0d7c36cd.jpg,5.6,800,400,12:33:03
+1.0,2013-01-29,2013-01-29 16:27:38,1,1,7b0ee232c69a3ac4d372cc683ab1332c.jpg,5.6,800,250,16:27:38
+1.0,2012-03-13,2012-03-13 11:13:18,0,3,7b11d03510bafd8501382f9f1f872557.jpg,5.6,800,400,11:13:18
+1.0,2012-03-20,2012-03-20 12:34:23,0,3,7b2ae5c503460cb8660e31d59e26345a.jpg,5.6,800,400,12:34:23
+1.0,2013-02-26,2013-02-26 12:05:04,1,1,7b5506415e71519cbc9e2376117706bb.jpg,5.6,800,160,12:05:04
+1.0,2012-04-03,2012-04-03 12:32:53,0,3,7b735e4a01d7c2ac4c79dfe4c5bb7110.jpg,5.6,800,400,12:32:53
+1.0,2012-03-13,2012-03-13 11:13:18,0,3,7b9dd07110fcb1fab1ac5b3b7a06c089.jpg,5.6,800,400,11:13:18
+1.0,2013-01-28,2013-01-28 12:42:42,1,1,7ba34f4c8cb6a00ec0f9be40dfaeab29.jpg,5.6,800,100,12:42:42
+1.0,2013-02-20,2013-02-20 12:09:36,1,1,7bec614d3123c5a3d3056cce3490e4b3.jpg,5.6,800,160,12:09:36
+1.0,2013-01-28,2013-01-28 12:34:45,1,1,7c49057cc6affff90c43c4a4d0f92976.jpg,5.6,800,100,12:34:45
+1.0,2012-03-06,2012-03-06 13:31:22,0,3,7cb9d898febb4370bc07fe21bcc98781.jpg,5.6,800,400,13:31:22
+1.0,2013-01-28,2013-01-28 12:34:09,1,1,7cf73544eb285082432dd883ca9d77f1.jpg,5.6,800,100,12:34:09
+1.0,2013-01-29,2013-01-29 12:08:32,1,1,7d29b08b96e748c77df295948654efdd.jpg,5.6,800,100,12:08:32
+1.0,2013-02-26,2013-02-26 12:09:12,1,1,7dbfca7136d48c9a6fcda0ae1c66d2ab.jpg,5.6,800,200,12:09:12
+1.0,2012-03-20,2012-03-20 09:42:44,0,3,7e0a581ac7e6512bd7c3a2582d30919a.jpg,5.6,800,400,09:42:44
+1.0,2012-04-03,2012-04-03 09:45:02,0,3,7e72cab37c2defe0e62099114b7a2c9a.jpg,5.6,800,400,09:45:02
+1.0,2013-02-26,2013-02-26 12:04:45,1,1,7e767cf3b4643da019bfad72725b5ff5.jpg,5.6,800,160,12:04:45
+1.0,2013-01-29,2013-01-29 16:34:21,1,1,7e7d6715cea6f08420ce3018770adbd7.jpg,5.6,800,320,16:34:21
+1.0,2013-02-19,2013-02-19 16:33:53,1,1,7e80a0972c2d87c93fa12dff6219574e.jpg,5.6,800,320,16:33:53
+1.0,2012-03-08,2012-03-08 14:57:24,0,3,7ea9767d0d4edffdaa0207cc9dcde465.jpg,5.6,800,400,14:57:24
+1.0,2012-03-22,2012-03-22 11:06:45,0,3,7f246647f9c556249e7287852fd44313.jpg,5.6,800,400,11:06:45
+1.0,2013-01-29,2013-01-29 12:33:32,1,1,8039670de1208c0cf27cf474099c1822.jpg,5.6,800,100,12:33:32
+1.0,2012-04-03,2012-04-03 11:09:22,0,3,80579ffee85eb7ab4d279c049de12f2c.jpg,5.6,800,400,11:09:22
+1.0,2012-04-03,2012-04-03 09:44:20,0,3,80dad49dcb2e625097c77424a9c8f922.jpg,5.6,800,400,09:44:20
+1.0,2012-03-08,2012-03-08 10:45:20,0,3,8114754fd04b419ff487ffc56d1e5563.jpg,5.6,800,400,10:45:20
+1.0,2012-03-08,2012-03-08 10:47:19,0,3,8234273039201b71988cd83770d828c6.jpg,5.6,800,400,10:47:19
+1.0,2013-01-28,2013-01-28 12:36:07,1,1,8235c98415b36174c7a25d8d4a47ee7c.jpg,5.6,800,100,12:36:07
+1.0,2012-03-20,2012-03-20 13:57:00,0,3,82436b968a923a56646ffb64868efc58.jpg,5.6,800,400,13:57:00
+1.0,2012-03-20,2012-03-20 09:46:56,0,3,824e93df7906cc92ee7225bbe7810e67.jpg,5.6,800,400,09:46:56
+1.0,2012-04-03,2012-04-03 11:12:06,0,3,82a2a631d7e593c5c260d8ecdf5cb3cc.jpg,5.6,800,400,11:12:06
+1.0,2013-02-20,2013-02-20 12:44:25,1,1,82ae538367b42d79f1d5644b6b31b8ed.jpg,5.6,800,100,12:44:25
+1.0,2013-01-28,2013-01-28 12:41:37,1,1,82b118ef78131af5ba32b2ab08132954.jpg,5.6,800,100,12:41:37
+1.0,2012-03-22,2012-03-22 14:01:05,0,3,82b86dddd2a8f41f96e1c9a76038d5e9.jpg,5.6,800,400,14:01:05
+1.0,2013-02-19,2013-02-19 16:18:32,1,1,83a869cddb95a5422e9af513e5808f30.jpg,5.6,800,320,16:18:32
+1.0,2013-02-13,2013-02-13 13:15:14,1,1,84d758c37229c5d548d393223f51fe65.jpg,5.6,800,100,13:15:14
+1.0,2012-04-03,2012-04-03 09:43:44,0,3,84e284db1301743065ba0809c2432e59.jpg,5.6,800,400,09:43:44
+1.0,2013-02-13,2013-02-13 12:14:57,1,1,85ae304528bb2e955bbf6a885c0bb933.jpg,5.6,800,100,12:14:57
+1.0,2012-03-13,2012-03-13 11:09:33,0,3,85e08a3b214fdfe80fb050c2c74bb119.jpg,5.6,800,400,11:09:33
+1.0,2013-02-26,2013-02-26 12:19:58,1,1,861995631014d9a6294d47803a66ed4c.jpg,5.6,800,200,12:19:58
+1.0,2012-03-20,2012-03-20 12:36:56,0,3,86bb94b8461bd86467df2a31f887ed4f.jpg,5.6,800,400,12:36:56
+1.0,2012-04-03,2012-04-03 11:12:15,0,3,871e8c7ea0b136046bf0a961a0ac78e1.jpg,5.6,800,400,11:12:15
+1.0,2013-01-28,2013-01-28 12:40:58,1,1,8742fc3d55707e2c5422875b3322f5c2.jpg,5.6,800,100,12:40:58
+1.0,2012-03-20,2012-03-20 12:29:09,0,3,8756d5bdfdce027ab8e2ff8c29f49508.jpg,5.6,800,400,12:29:09
+1.0,2012-04-03,2012-04-03 09:42:30,0,3,8768f7b3cef58a21262c4cbe89987c58.jpg,5.6,800,400,09:42:30
+1.0,2012-03-20,2012-03-20 13:56:14,0,3,87a9bbd33dd682b44011867009463c4a.jpg,5.6,800,400,13:56:14
+1.0,2013-02-26,2013-02-26 12:08:38,1,1,87c438af7bdfc257b2f62a5dd75f7075.jpg,5.6,800,200,12:08:38
+1.0,2013-01-28,2013-01-28 12:40:57,1,1,887576abc9eb22537e1714b5554b0cd6.jpg,5.6,800,100,12:40:57
+1.0,2013-02-19,2013-02-19 16:30:15,1,1,88782bb572b3201c8f84dd82965a7f82.jpg,5.6,800,400,16:30:15
+1.0,2012-03-08,2012-03-08 12:09:05,0,3,88927887ca7e693dd72af49ca7bcff26.jpg,5.6,800,400,12:09:05
+1.0,2013-02-20,2013-02-20 12:42:55,1,1,889374e661ff6c6031afa463fef1b324.jpg,5.6,800,100,12:42:55
+1.0,2012-03-08,2012-03-08 14:57:23,0,3,88a13b57d19f9eb942cb9e528c49b3c6.jpg,5.6,800,400,14:57:23
+1.0,2013-01-28,2013-01-28 12:33:35,1,1,88e6f3ae3682368ca95dd4f1bd4f3fe6.jpg,5.6,800,100,12:33:35
+1.0,2013-02-19,2013-02-19 16:28:59,1,1,89057ce4152235e3c8970b04743192ff.jpg,5.6,800,320,16:28:59
+1.0,2013-02-19,2013-02-19 16:21:44,1,1,8949f189974de0403b1085aa828bd1f3.jpg,5.6,800,400,16:21:44
+1.0,2013-01-28,2013-01-28 12:37:21,1,1,89c3b7193b1fc745fd6e2a5d1f435bb3.jpg,5.6,800,100,12:37:21
+1.0,2012-04-03,2012-04-03 11:09:32,0,3,89ed3eb877b84ef4c6162f8972628dab.jpg,5.6,800,400,11:09:32
+1.0,2013-01-28,2013-01-28 12:37:41,1,1,8a0ab7950e6080fcac1d2593ed60b8a6.jpg,5.6,800,100,12:37:41
+1.0,2012-04-03,2012-04-03 11:12:08,0,3,8a3a438f6e36e33eda8c78d3890e33bc.jpg,5.6,800,400,11:12:08
+1.0,2013-02-20,2013-02-20 12:24:06,1,1,8a51bc4de64a0214074a78a89d6757f0.jpg,5.6,800,100,12:24:06
+1.0,2012-03-06,2012-03-06 13:32:47,0,3,8a7159fc2f33a8b46fc5d160ebaeeeba.jpg,5.6,800,400,13:32:47
+1.0,2012-04-03,2012-04-03 09:45:01,0,3,8ab4bd71b41c70d40b570e0d64602031.jpg,5.6,800,400,09:45:01
+1.0,2012-03-06,2012-03-06 13:31:38,0,3,8b0c8e2450a0afeed9e9385d00ec1bdb.jpg,5.6,800,400,13:31:38
+1.0,2013-01-28,2013-01-28 12:38:44,1,1,8b1a501bc9cf2777fcd39a56efb746d3.jpg,5.6,800,100,12:38:44
+1.0,2013-02-13,2013-02-13 12:07:54,1,1,8b214442b511e94e5794d576097135c2.jpg,5.6,800,100,12:07:54
+1.0,2012-03-22,2012-03-22 14:02:59,0,3,8b6e30ea9120e8204d14cd2779e980c6.jpg,5.6,800,400,14:02:59
+1.0,2012-04-03,2012-04-03 12:33:35,0,3,8b8a53967c2f9dbcbfc9d8cb625281e1.jpg,5.6,800,400,12:33:35
+1.0,2012-03-20,2012-03-20 09:46:50,0,3,8b9a0733d58732421469df45801de870.jpg,5.6,800,400,09:46:50
+1.0,2012-04-24,2012-04-24 09:48:14,0,3,8c1044f82962e42a6ef5661445ddaf18.jpg,5.6,800,400,09:48:14
+1.0,2013-02-13,2013-02-13 12:55:26,1,1,8c9f093138ceb0be7af5b1120096bc95.jpg,5.6,800,100,12:55:26
+1.0,2013-02-19,2013-02-19 16:33:58,1,1,8cbb4185da4aebe1dd346ec6e839f618.jpg,5.6,800,320,16:33:58
+1.0,2012-04-03,2012-04-03 11:04:33,0,3,8cd2c2d41b90765047f8eb6129b63ae2.jpg,5.6,800,400,11:04:33
+1.0,2013-01-29,2013-01-29 16:34:09,1,1,8d250a6dcb98a968ea2c1699dff50787.jpg,5.6,800,320,16:34:09
+1.0,2013-01-29,2013-01-29 16:26:24,1,1,8d44f3a97b4c378665b1c7d809616adf.jpg,5.6,800,320,16:26:24
+1.0,2012-03-08,2012-03-08 10:46:30,0,3,8e0b0ee131ecde022845e7226edb4744.jpg,5.6,800,400,10:46:30
+1.0,2012-03-20,2012-03-20 12:30:28,0,3,8e1e3ebe86fe94e394ffa6f97ee73397.jpg,5.6,800,400,12:30:28
+1.0,2012-03-22,2012-03-22 11:04:03,0,3,8e36e1754f717dc61e47c7cdb14a67df.jpg,5.6,800,400,11:04:03
+1.0,2012-04-03,2012-04-03 09:39:41,0,3,8ea5b0ff79b16bc6554f40251c25eb4b.jpg,5.6,800,400,09:39:41
+1.0,2012-04-03,2012-04-03 12:35:06,0,3,8ead9bd598917717bcd7409051dbe3e9.jpg,5.6,800,400,12:35:06
+1.0,2012-03-20,2012-03-20 12:33:07,0,3,8eaf8db572e97a6433cd349d84ccceef.jpg,5.6,800,400,12:33:07
+1.0,2012-03-20,2012-03-20 11:05:50,0,3,8ed369d6d06978cf1711d590b5c9ec91.jpg,5.6,800,400,11:05:50
+1.0,2013-02-20,2013-02-20 12:26:22,1,1,8f01413ba193f81ab3f7c504e8d7d2df.jpg,5.6,800,100,12:26:22
+1.0,2013-01-29,2013-01-29 16:24:11,1,1,8f24b5112e6a4f9c3fac54639e7ed086.jpg,5.6,800,500,16:24:11
+1.0,2012-03-06,2012-03-06 13:28:26,0,3,8f2ac3620699faa9840c57aac20d6587.jpg,5.6,800,400,13:28:26
+1.0,2013-02-19,2013-02-19 16:33:24,1,1,8f49af678384280bc8ba6ede19ca27aa.jpg,5.6,800,320,16:33:24
+1.0,2013-02-20,2013-02-20 12:07:31,1,1,8fae6fb04b41429a324cd8da9dfbf73e.jpg,5.6,800,200,12:07:31
+1.0,2012-03-20,2012-03-20 15:22:27,0,3,8fd1b807ebd48e3c09ed7a0147b2c794.jpg,5.6,800,400,15:22:27
+1.0,2012-04-03,2012-04-03 11:04:16,0,3,9047d11345851634bc53c7d6e627af43.jpg,5.6,800,400,11:04:16
+1.0,2013-01-28,2013-01-28 12:35:25,1,1,90b7357bfefa1bb290f0ce5700364825.jpg,5.6,800,100,12:35:25
+1.0,2013-01-28,2013-01-28 12:33:31,1,1,90c8a257e68489a8667735c97086a2b5.jpg,5.6,800,100,12:33:31
+1.0,2012-04-03,2012-04-03 12:31:38,0,3,90cc78e959e49d4ad32d876ff1b533cb.jpg,5.6,800,400,12:31:38
+1.0,2013-02-20,2013-02-20 12:06:40,1,1,90d661f1cdec76e0092097b91a4e423d.jpg,5.6,800,160,12:06:40
+1.0,2013-01-28,2013-01-28 12:40:47,1,1,91216249a826aa158c45efd056260ce5.jpg,5.6,800,100,12:40:47
+1.0,2012-03-06,2012-03-06 13:30:19,0,3,915d4a019390ce945ed93ae13d82384b.jpg,5.6,800,400,13:30:19
+1.0,2013-01-28,2013-01-28 12:34:46,1,1,919aba3e177b74c561c1cc4d1d7c21b5.jpg,5.6,800,100,12:34:46
+1.0,2013-02-20,2013-02-20 12:10:04,1,1,91b109316928a83b44e3cd370f9881c7.jpg,5.6,800,200,12:10:04
+1.0,2013-02-19,2013-02-19 16:25:14,1,1,922d8eb9d34c77de1c6d33b09883a98f.jpg,5.6,800,400,16:25:14
+1.0,2012-03-20,2012-03-20 09:43:46,0,3,92abbc8e59ed42795e47a9ea39208297.jpg,5.6,800,400,09:43:46
+1.0,2012-03-20,2012-03-20 09:42:20,0,3,92dedf4b03aa04c8270c849bd0f184d0.jpg,5.6,800,400,09:42:20
+1.0,2012-03-08,2012-03-08 10:43:45,0,3,93da614133f2630cbdaa4373fdb2bb57.jpg,5.6,800,400,10:43:45
+1.0,2012-03-13,2012-03-13 11:08:57,0,3,942f60563ecb59158fc2a2f4f94adc77.jpg,5.6,800,400,11:08:57
+1.0,2012-04-03,2012-04-03 11:08:38,0,3,9462ec538338a2d16e5d5d0e7f6a897e.jpg,5.6,800,400,11:08:38
+1.0,2012-04-03,2012-04-03 12:34:24,0,3,94a4e72160ba775030172f695c5518c2.jpg,5.6,800,400,12:34:24
+1.0,2013-02-19,2013-02-19 16:26:06,1,1,94ab09723393388c6251f602e906f7fb.jpg,5.6,800,320,16:26:06
+1.0,2013-02-19,2013-02-19 16:25:19,1,1,94e5049169b250295882cbcf435ece68.jpg,5.6,800,320,16:25:19
+1.0,2013-01-29,2013-01-29 12:09:27,1,1,952c60311e45460ddd9dcdd1625ee1f9.jpg,5.6,800,100,12:09:27
+1.0,2012-03-20,2012-03-20 12:35:52,0,3,953fa0126c92baa4b1e41f322439fd05.jpg,5.6,800,400,12:35:52
+1.0,2013-02-19,2013-02-19 16:26:44,1,1,955adc651436835f6c101e65ac292333.jpg,5.6,800,320,16:26:44
+1.0,2013-02-20,2013-02-20 12:10:53,1,1,957849f39de1253834bd2e56b58fbbb5.jpg,5.6,800,160,12:10:53
+1.0,2012-04-03,2012-04-03 11:10:03,0,3,958d8cf433d6f4d573563600c9d2eb8e.jpg,5.6,800,400,11:10:03
+1.0,2012-03-20,2012-03-20 13:59:35,0,3,95a07e3e4c196ca715f4196ebeaf71a3.jpg,5.6,800,400,13:59:35
+1.0,2013-01-29,2013-01-29 16:34:12,1,1,9709650140d14dcec023fe1bac5fcfd9.jpg,5.6,800,400,16:34:12
+1.0,2012-03-06,2012-03-06 13:29:19,0,3,973aa8393966e3715b90e48b4f187224.jpg,5.6,800,400,13:29:19
+1.0,2013-02-26,2013-02-26 12:17:32,1,1,982d00b3cbeedcc657e26f20e0c80f36.jpg,5.6,800,200,12:17:32
+1.0,2013-01-28,2013-01-28 12:42:03,1,1,9830fa79a5da42abd2b966a3c55a6404.jpg,5.6,800,100,12:42:03
+1.0,2012-04-03,2012-04-03 09:43:59,0,3,985baf393d3c68e216fec063b031e1ed.jpg,5.6,800,400,09:43:59
+1.0,2013-01-29,2013-01-29 12:15:06,1,1,98626708107c1dd836dbd9bb23f861b5.jpg,5.6,800,100,12:15:06
+1.0,2013-01-29,2013-01-29 16:32:46,1,1,98af54a25499c926d59311da6f7f6565.jpg,5.6,800,400,16:32:46
+1.0,2013-02-26,2013-02-26 12:31:39,1,1,98b685fc0ec738b64007f2050284ad1c.jpg,5.6,800,200,12:31:39
+1.0,2012-03-20,2012-03-20 15:24:58,0,3,9936a7ee8313c0cb07242c7d7248137a.jpg,5.6,800,400,15:24:58
+1.0,2012-03-20,2012-03-20 12:36:21,0,3,9969cedf85ba1a994fdb4ebf90c21713.jpg,5.6,800,400,12:36:21
+1.0,2012-04-03,2012-04-03 09:41:25,0,3,99780c8e24609930e76e1327cbf12227.jpg,5.6,800,400,09:41:25
+1.0,2013-01-29,2013-01-29 16:23:08,1,1,99836cebf47244b7744e99b85c7da79b.jpg,5.6,800,400,16:23:08
+1.0,2012-04-03,2012-04-03 12:35:00,0,3,99a2e95a44bf1c8cf58542b8878f4e40.jpg,5.6,800,400,12:35:00
+1.0,2013-02-13,2013-02-13 12:53:12,1,1,9a0c23b214fca516a6075e40b87a6b97.jpg,5.6,800,100,12:53:12
+1.0,2012-04-03,2012-04-03 12:35:03,0,3,9a64e9b62feb8182a50f1f0b4a93d4ca.jpg,5.6,800,400,12:35:03
+1.0,2012-03-20,2012-03-20 13:59:19,0,3,9a7046fcd37d9c96a13b40f914027ff8.jpg,5.6,800,400,13:59:19
+1.0,2013-02-19,2013-02-19 16:22:59,1,1,9ab2f765baa908605d4d5f6009413f0f.jpg,5.6,800,400,16:22:59
+1.0,2012-03-20,2012-03-20 12:33:34,0,3,9ac79bc9af477d0a2e251f3718590365.jpg,5.6,800,400,12:33:34
+1.0,2013-02-20,2013-02-20 12:24:31,1,1,9ad4931aab255b9a2c2a37d93eada73c.jpg,5.6,800,100,12:24:31
+1.0,2012-04-03,2012-04-03 11:06:43,0,3,9b124ee4c81e9707035c8c22aa7e023d.jpg,5.6,800,400,11:06:43
+1.0,2013-02-19,2013-02-19 16:19:42,1,1,9b282d651ae902073befba73b1ed2e17.jpg,5.6,800,400,16:19:42
+1.0,2013-01-29,2013-01-29 16:25:14,1,1,9bafa82f17116bc31a871fc94f457b9d.jpg,5.6,800,500,16:25:14
+1.0,2012-03-08,2012-03-08 12:12:25,0,3,9bceee87bfd541afc19961dadeed96a9.jpg,5.6,800,400,12:12:25
+1.0,2012-04-03,2012-04-03 11:08:49,0,3,9be2a174bb0b97f8d13122a8598dc6c1.jpg,5.6,800,400,11:08:49
+1.0,2013-02-19,2013-02-19 16:22:17,1,1,9c567f930e43f69ba9002d964f77d9ed.jpg,5.6,800,320,16:22:17
+1.0,2013-02-26,2013-02-26 12:12:25,1,1,9c5fc4c48fb10d7b166a3a7a42daf6ac.jpg,5.6,800,200,12:12:25
+1.0,2013-02-13,2013-02-13 12:22:11,1,1,9d0d03e3682ee307c1c32b8d04ff21b1.jpg,5.6,800,100,12:22:11
+1.0,2012-03-20,2012-03-20 11:09:20,0,3,9d28d42d476f48de3a914a63b3089327.jpg,5.6,800,400,11:09:20
+1.0,2012-03-08,2012-03-08 10:47:17,0,3,9d7caba2e9ebad2aa2ec855894ff9ada.jpg,5.6,800,400,10:47:17
+1.0,2012-04-03,2012-04-03 09:36:16,0,3,9d85aaeab9d497bb427ce81bfa5daade.jpg,5.6,800,400,09:36:16
+1.0,2012-04-03,2012-04-03 09:44:58,0,3,9ded1256429e8f379683b53c7ccddc0c.jpg,5.6,800,400,09:44:58
+1.0,2013-02-20,2013-02-20 12:06:57,1,1,9ea3c1f9ee47954f64b8c9181b8db3e7.jpg,5.6,800,200,12:06:57
+1.0,2012-03-20,2012-03-20 13:57:34,0,3,9eceaed96eb0b63c75cec38b3dbf4ee6.jpg,5.6,800,400,13:57:34
+1.0,2012-03-13,2012-03-13 11:08:47,0,3,9ef82486a44f8ff89a2add4832cc398b.jpg,5.6,800,400,11:08:47
+1.0,2012-04-03,2012-04-03 11:12:36,0,3,9f0daf2f1959ead3d031c75c331c3afa.jpg,5.6,800,400,11:12:36
+1.0,2012-03-22,2012-03-22 11:10:15,0,3,9f5d56cead3e6a3008b043f6cae900cf.jpg,5.6,800,400,11:10:15
+1.0,2013-02-13,2013-02-13 13:23:37,1,1,9f652f88eaa0be87cb9501c0c816df47.jpg,5.6,800,100,13:23:37
+1.0,2013-02-19,2013-02-19 16:25:20,1,1,9fbda54f6d3acceb9bf921b9b98175cc.jpg,5.6,800,320,16:25:20
+1.0,2012-04-03,2012-04-03 11:10:01,0,3,9fc38eb3885bb58d46dd43f3c8935c47.jpg,5.6,800,400,11:10:01
+1.0,2012-04-03,2012-04-03 11:07:27,0,3,9ff096e6e4f5fe6d65f319fa4aa62b68.jpg,5.6,800,400,11:07:27
+1.0,2013-01-28,2013-01-28 12:38:15,1,1,9ffefe939a5e2355d88a47c38d1762a5.jpg,5.6,800,100,12:38:15
+1.0,2013-02-19,2013-02-19 16:27:18,1,1,a0cf12f1e6b26f1570bae597e7eb54d8.jpg,5.6,800,320,16:27:18
+1.0,2012-03-20,2012-03-20 12:30:27,0,3,a10e71f7e988a7157403a60465543586.jpg,5.6,800,400,12:30:27
+1.0,2013-02-20,2013-02-20 12:34:02,1,1,a15f0b18c5fb55ea72f30fb879710faf.jpg,5.6,800,100,12:34:02
+1.0,2013-02-20,2013-02-20 12:06:48,1,1,a16e6995f21b48bfc39eea70ad51c25f.jpg,5.6,800,200,12:06:48
+1.0,2013-01-29,2013-01-29 16:22:35,1,1,a1b7c1e75ed83c2ad28543499c5e94d9.jpg,5.6,800,500,16:22:35
+1.0,2013-01-28,2013-01-28 12:38:23,1,1,a1d6c6985a22cb2f457f1393107e7e10.jpg,5.6,800,100,12:38:23
+1.0,2012-03-20,2012-03-20 11:09:29,0,3,a25dc79b59d425769d72e554461fe400.jpg,5.6,800,400,11:09:29
+1.0,2013-02-26,2013-02-26 12:08:37,1,1,a2b7e082c9bc2c20f480e1c2cc4110a8.jpg,5.6,800,200,12:08:37
+1.0,2013-01-29,2013-01-29 12:20:51,1,1,a2ed6d1cce0355397b3e4342742c3616.jpg,5.6,800,100,12:20:51
+1.0,2012-03-08,2012-03-08 14:53:55,0,3,a2ef1f18edffba9dd4b90c415d8df9de.jpg,5.6,800,400,14:53:55
+1.0,2012-03-06,2012-03-06 13:29:44,0,3,a3a265634817d423243eb8e4622f05cf.jpg,5.6,800,400,13:29:44
+1.0,2012-04-03,2012-04-03 12:33:32,0,3,a3c3ad8263943e694fc7c7415c6555ad.jpg,5.6,800,400,12:33:32
+1.0,2013-01-29,2013-01-29 16:25:33,1,1,a3e8df76465e36ea1dc9102716aa7b05.jpg,5.6,800,250,16:25:33
+1.0,2013-02-13,2013-02-13 12:34:49,1,1,a41f69db5299c1f0cf3749a82e293074.jpg,5.6,800,100,12:34:49
+1.0,2013-01-28,2013-01-28 12:34:43,1,1,a471c3f4b5a8a53988b78e9318e5203e.jpg,5.6,800,100,12:34:43
+1.0,2012-03-20,2012-03-20 12:28:40,0,3,a48389b3e2a60ec36ffb35920aae1714.jpg,5.6,800,400,12:28:40
+1.0,2013-01-28,2013-01-28 12:33:23,1,1,a49d79c5e528dc0ad85b0794f550c0f5.jpg,5.6,800,100,12:33:23
+1.0,2013-02-20,2013-02-20 12:17:39,1,1,a50f906164d3bcf7a68d48f291ae0053.jpg,5.6,800,100,12:17:39
+1.0,2013-02-20,2013-02-20 14:13:19,1,1,a511c709456f02a9945bafed61a70361.jpg,5.6,800,200,14:13:19
+1.0,2012-03-06,2012-03-06 13:31:32,0,3,a54792ec1ce39d929791b74959eee84f.jpg,5.6,800,400,13:31:32
+1.0,2012-04-03,2012-04-03 11:09:14,0,3,a5954e28480015b5c335a0ba578e5977.jpg,5.6,800,400,11:09:14
+1.0,2012-04-03,2012-04-03 11:08:35,0,3,a5ac2d2ed33a98c70b6fe0ba29d02c7c.jpg,5.6,800,400,11:08:35
+1.0,2012-03-20,2012-03-20 11:09:32,0,3,a5b304a51a166188c02e1fdd6b382c53.jpg,5.6,800,400,11:09:32
+1.0,2012-03-20,2012-03-20 13:59:19,0,3,a5d1023f5388e2ffadcbdefe1797003b.jpg,5.6,800,400,13:59:19
+1.0,2012-02-23,2012-02-23 14:54:42,0,3,a621d80db37a39fc926638f1e94268b5.jpg,5.6,800,400,14:54:42
+1.0,2012-04-25,2012-04-25 10:59:08,0,3,a63b1c6bc98bf5afa422f6b9658ee79c.jpg,5.6,800,400,10:59:08
+1.0,2012-03-13,2012-03-13 11:08:49,0,3,a6f84d13b9b92df055a39808d74a8d35.jpg,5.6,800,400,11:08:49
+1.0,2013-01-29,2013-01-29 16:25:18,1,1,a773f6b985bee2cfc4dd43a783407f1f.jpg,5.6,800,500,16:25:18
+1.0,2013-02-13,2013-02-13 13:15:01,1,1,a786baad8e09c865708b8fb837849074.jpg,5.6,800,100,13:15:01
+1.0,2013-01-29,2013-01-29 12:15:55,1,1,a84961d522bdb508b0e9c6c05e13ba1e.jpg,5.6,800,100,12:15:55
+1.0,2012-04-03,2012-04-03 11:07:50,0,3,a87f46292d6bf1432e7223c2c9987e92.jpg,5.6,800,400,11:07:50
+1.0,2013-01-28,2013-01-28 12:38:52,1,1,a8c7af8bf69db6d0088cab161f9b6acb.jpg,5.6,800,100,12:38:52
+1.0,2013-01-29,2013-01-29 12:15:02,1,1,a9127f8f360007a398c128c53df2c890.jpg,5.6,800,100,12:15:02
+1.0,2012-04-03,2012-04-03 09:44:01,0,3,a91d3a15ae166a30500b0fa3a00c675d.jpg,5.6,800,400,09:44:01
+1.0,2012-03-20,2012-03-20 12:30:17,0,3,a9a73b9285345081e75e2e7c8804947d.jpg,5.6,800,400,12:30:17
+1.0,2013-01-29,2013-01-29 12:11:44,1,1,a9b3862bfca646d1d9bca45540669f39.jpg,5.6,800,100,12:11:44
+1.0,2013-02-13,2013-02-13 12:28:37,1,1,a9d981eadaea7c3f9f3f67c777c98f18.jpg,5.6,800,100,12:28:37
+1.0,2013-01-29,2013-01-29 12:33:40,1,1,aa0e09f759602ff21e08ca42830221f0.jpg,5.6,800,100,12:33:40
+1.0,2012-04-03,2012-04-03 11:04:31,0,3,aa27cde8cdbc6689669aa50e108ac426.jpg,5.6,800,400,11:04:31
+1.0,2013-02-26,2013-02-26 12:30:06,1,1,aa656356d1c3b45ed1b5b0835d2eaf57.jpg,5.6,800,200,12:30:06
+1.0,2013-02-26,2013-02-26 12:09:29,1,1,aaa30ea6ce2ae829bf292f44b750b812.jpg,5.6,800,160,12:09:29
+1.0,2013-02-26,2013-02-26 12:19:40,1,1,ab091aacfb65de38ff2a1f21d9a5dad5.jpg,5.6,800,200,12:19:40
+1.0,2012-04-03,2012-04-03 11:10:00,0,3,ab0e13c76540ac077895577b89c87fb4.jpg,5.6,800,400,11:10:00
+1.0,2012-04-17,2012-04-17 12:28:40,0,3,ab405cc18b3f5da4cfce42ed626f7794.jpg,5.6,800,400,12:28:40
+1.0,2012-03-20,2012-03-20 12:32:42,0,3,ab4d5da4321979505b565d401def30dc.jpg,5.6,800,400,12:32:42
+1.0,2013-02-13,2013-02-13 12:32:39,1,1,ab64f56b20ac96a7542f102656785d4e.jpg,5.6,800,100,12:32:39
+1.0,2013-01-29,2013-01-29 12:27:48,1,1,abb2c2da08f5739b90306ef52747e7ce.jpg,5.6,800,100,12:27:48
+1.0,2012-03-22,2012-03-22 14:00:45,0,3,abdd18bdbd910b873215ffc6ab5bf98c.jpg,5.6,800,400,14:00:45
+1.0,2012-03-20,2012-03-20 09:41:02,0,3,ace50fccd6a3fb40c618be16ccbc061d.jpg,5.6,800,400,09:41:02
+1.0,2013-01-29,2013-01-29 12:16:52,1,1,ad6079b3b796a031bb0451cacc804215.jpg,5.6,800,100,12:16:52
+1.0,2012-04-03,2012-04-03 11:06:25,0,3,ad7993bcdd3f6ed6b34244ab01d2c9d8.jpg,5.6,800,400,11:06:25
+1.0,2013-02-20,2013-02-20 12:27:23,1,1,aeb621f5c4957d0bcf8dd527a583dc79.jpg,5.6,800,100,12:27:23
+1.0,2012-03-20,2012-03-20 11:05:43,0,3,af61146febd9a333f5a09ae83320baad.jpg,5.6,800,400,11:05:43
+1.0,2013-02-13,2013-02-13 12:59:04,1,1,af93c679cb051af6a29073972f7b3eea.jpg,5.6,800,100,12:59:04
+1.0,2012-04-03,2012-04-03 09:42:29,0,3,affcb14c1de8f88fcdbc8e0b4f08e7b3.jpg,5.6,800,400,09:42:29
+1.0,2013-02-26,2013-02-26 12:10:49,1,1,b04eebb80769e42aae68b1797f777508.jpg,5.6,800,160,12:10:49
+1.0,2013-02-20,2013-02-20 12:14:43,1,1,b0783bf0738772050749d6eb2a424cb5.jpg,5.6,800,125,12:14:43
+1.0,2012-03-08,2012-03-08 10:43:52,0,3,b0b7e7ed013c08d0b3accb18b6e7a2ce.jpg,5.6,800,400,10:43:52
+1.0,2012-04-03,2012-04-03 11:08:08,0,3,b0c02238afb426766725882ba63c794f.jpg,5.6,800,400,11:08:08
+1.0,2013-01-28,2013-01-28 12:34:45,1,1,b16229a88c057985618957a0fff796c9.jpg,5.6,800,100,12:34:45
+1.0,2012-03-20,2012-03-20 13:57:56,0,3,b183f045187fd48f8ed4a89d9ce8436e.jpg,5.6,800,400,13:57:56
+1.0,2013-02-13,2013-02-13 13:20:36,1,1,b1e902d5bb443201759552058211704b.jpg,5.6,800,100,13:20:36
+1.0,2013-02-13,2013-02-13 12:24:03,1,1,b1e903b36d37d4029b58b562d75fdfed.jpg,5.6,800,100,12:24:03
+1.0,2013-01-28,2013-01-28 12:39:55,1,1,b21e38e69845b7fab4575b9028a456ec.jpg,5.6,800,100,12:39:55
+1.0,2012-04-03,2012-04-03 12:35:48,0,3,b22bd795f1bc2f2d6987dc75fcbdab6a.jpg,5.6,800,400,12:35:48
+1.0,2012-03-22,2012-03-22 11:06:51,0,3,b23105d29d4e1d480419fcbf6546c87b.jpg,5.6,800,400,11:06:51
+1.0,2013-01-28,2013-01-28 12:39:01,1,1,b261464a3ba12f5293fa15a772415593.jpg,5.6,800,100,12:39:01
+1.0,2013-02-13,2013-02-13 13:12:21,1,1,b298afcbc0f3adb512745904e32e6409.jpg,5.6,800,100,13:12:21
+1.0,2012-03-20,2012-03-20 12:35:14,0,3,b2c72357dc9ab7b924b1451b852cb346.jpg,5.6,800,400,12:35:14
+1.0,2013-02-13,2013-02-13 12:34:54,1,1,b2f55eebcecaa752b23e9599320b43fd.jpg,5.6,800,100,12:34:54
+1.0,2012-03-08,2012-03-08 10:45:06,0,3,b34370ab980a97260504a4c1ffb80047.jpg,5.6,800,400,10:45:06
+1.0,2012-04-24,2012-04-24 09:42:07,0,3,b354bf87975f3ade717c6849950ba9e5.jpg,5.6,800,400,09:42:07
+1.0,2013-02-19,2013-02-19 16:14:28,1,1,b3ae01e5d9fb3cee7a8e729ca6e18993.jpg,5.6,800,320,16:14:28
+1.0,2013-02-20,2013-02-20 12:22:44,1,1,b433591d55eb9d416941dda2bbbc41d4.jpg,5.6,800,100,12:22:44
+1.0,2013-01-28,2013-01-28 12:38:13,1,1,b467702513ed78f74e4e57417511a49c.jpg,5.6,800,100,12:38:13
+1.0,2012-03-22,2012-03-22 13:59:33,0,3,b4b6222f93f2d9d07ec9f799280d024c.jpg,5.6,800,400,13:59:33
+1.0,2012-03-20,2012-03-20 12:34:41,0,3,b55daa96b995f5e672222a2da80e54ce.jpg,5.6,800,400,12:34:41
+1.0,2012-03-06,2012-03-06 13:29:02,0,3,b57f307423de4a54964e59ed1a68275e.jpg,5.6,800,400,13:29:02
+1.0,2012-03-20,2012-03-20 13:56:18,0,3,b5a76f6f084b90dfa6889f6d034ac028.jpg,5.6,800,400,13:56:18
+1.0,2013-02-19,2013-02-19 16:24:53,1,1,b5cfef0da68bc3f6baba163123c1c82e.jpg,5.6,800,400,16:24:53
+1.0,2012-03-08,2012-03-08 10:47:47,0,3,b6039a379ca34f1213e14f011f674495.jpg,5.6,800,400,10:47:47
+1.0,2013-02-26,2013-02-26 12:17:49,1,1,b622d6843841b9749aab3e452d5f42c2.jpg,5.6,800,200,12:17:49
+1.0,2013-02-26,2013-02-26 12:45:07,1,1,b6531530a1a37ff5f8b6da056c1e4dcf.jpg,5.6,800,200,12:45:07
+1.0,2013-02-19,2013-02-19 16:31:41,1,1,b67ee1d827da460bbccbc5e170aa51fa.jpg,5.6,800,320,16:31:41
+1.0,2012-03-08,2012-03-08 12:12:25,0,3,b68e00a5b641dd77bcfffeda8170a8c0.jpg,5.6,800,400,12:12:25
+1.0,2013-02-20,2013-02-20 12:07:02,1,1,b6ae96a2169105bcbf48d56eb19b81f1.jpg,5.6,800,160,12:07:02
+1.0,2013-01-29,2013-01-29 12:12:49,1,1,b7432975237716399ec01700c518486d.jpg,5.6,800,100,12:12:49
+1.0,2012-04-03,2012-04-03 11:07:56,0,3,b792f43708522ea729949c903756fc47.jpg,5.6,800,400,11:07:56
+1.0,2012-04-24,2012-04-24 09:37:24,0,3,b796406d7c852d76352fbbe5f4172835.jpg,5.6,800,400,09:37:24
+1.0,2013-02-13,2013-02-13 13:27:09,1,1,b7ae761940cc82782dfb81eed22cfcae.jpg,5.6,800,100,13:27:09
+1.0,2013-02-19,2013-02-19 16:31:37,1,1,b815cfd1f373fe0dc8af8a40a46f9e82.jpg,5.6,800,320,16:31:37
+1.0,2013-01-29,2013-01-29 16:26:11,1,1,b82c83a2e5d19bca17aa7e01c3df3c3d.jpg,5.6,800,640,16:26:11
+1.0,2013-01-29,2013-01-29 16:22:44,1,1,b8bc49875e49ac693a397920f615fcd7.jpg,5.6,800,400,16:22:44
+1.0,2012-04-03,2012-04-03 12:33:46,0,3,b92d2da607d7d800e64c1eae2f3fb579.jpg,5.6,800,400,12:33:46
+1.0,2013-02-13,2013-02-13 13:20:10,1,1,b94885fc691dafa9ae57dfd407493d3f.jpg,5.6,800,100,13:20:10
+1.0,2013-02-26,2013-02-26 12:15:24,1,1,b982d34d71842195fd62057952ff1774.jpg,5.6,800,200,12:15:24
+1.0,2013-02-13,2013-02-13 12:16:56,1,1,b9ce6c31b330ba4738da7a0ddb05177d.jpg,5.6,800,100,12:16:56
+1.0,2013-01-28,2013-01-28 12:42:09,1,1,b9eb91bfe7902be6624368f3e42f1121.jpg,5.6,800,100,12:42:09
+1.0,2013-02-19,2013-02-19 16:14:47,1,1,b9ec96a781f74c844340d376a0805e76.jpg,5.6,800,250,16:14:47
+1.0,2012-03-08,2012-03-08 14:53:41,0,3,b9ed1708ee7faa9bd0ee1bdeb2454600.jpg,5.6,800,400,14:53:41
+1.0,2012-02-23,2012-02-23 14:54:39,0,3,ba642f0365102bceb068b0ee6452d011.jpg,5.6,800,400,14:54:39
+1.0,2013-01-29,2013-01-29 12:11:55,1,1,ba8accb40c9334536cf7806682287926.jpg,5.6,800,100,12:11:55
+1.0,2013-01-28,2013-01-28 12:34:07,1,1,babe9a10099205e9b3ebc0fe62222e93.jpg,5.6,800,100,12:34:07
+1.0,2013-02-20,2013-02-20 12:06:32,1,1,baf9cb73e8ce0b485480ddc32305993f.jpg,5.6,800,160,12:06:32
+1.0,2013-01-29,2013-01-29 12:33:58,1,1,bb03caa55f9650455b47b3dce0361496.jpg,5.6,800,100,12:33:58
+1.0,2012-03-08,2012-03-08 14:57:26,0,3,bb1f29f4873e28fe0fa8998d43d23248.jpg,5.6,800,400,14:57:26
+1.0,2012-03-20,2012-03-20 13:57:52,0,3,bb333174b423dc0b431057891a384180.jpg,5.6,800,400,13:57:52
+1.0,2013-01-28,2013-01-28 12:38:47,1,1,bb5b05dba19b40769e50e8d5c9c1b7c4.jpg,5.6,800,100,12:38:47
+1.0,2013-01-29,2013-01-29 16:21:18,1,1,bb70501ec2738fb5d3685fbd72498400.jpg,5.6,800,200,16:21:18
+1.0,2012-04-03,2012-04-03 11:07:45,0,3,bc0463db0338aa20df1fda0b7efe5d92.jpg,5.6,800,400,11:07:45
+1.0,2012-04-24,2012-04-24 09:40:28,0,3,bc1f68f10e4945dcd6caeacf0111beb2.jpg,5.6,800,400,09:40:28
+1.0,2013-02-13,2013-02-13 13:00:41,1,1,bc2abfd85c8ef2e9993504781abc9a5f.jpg,5.6,800,100,13:00:41
+1.0,2012-03-13,2012-03-13 11:12:15,0,3,bc3b25eb1dd618199780d0ccb12cf0ac.jpg,5.6,800,400,11:12:15
+1.0,2012-04-03,2012-04-03 11:08:33,0,3,bc430e76b6b86ed0fcb9ff9110ebddea.jpg,5.6,800,400,11:08:33
+1.0,2013-01-29,2013-01-29 12:15:46,1,1,bc67a5c2a5daccd24323d06c9b4dafcd.jpg,5.6,800,100,12:15:46
+1.0,2013-02-20,2013-02-20 12:06:40,1,1,bc89cd0a293e947d56df9c4f6766c234.jpg,5.6,800,160,12:06:40
+1.0,2013-01-29,2013-01-29 16:30:40,1,1,bc8ebba60dc007a7ec20c0f23635b401.jpg,5.6,800,500,16:30:40
+1.0,2013-02-19,2013-02-19 16:29:00,1,1,bca054a2877717a3419d18183323afe9.jpg,5.6,800,320,16:29:00
+1.0,2012-03-20,2012-03-20 13:57:52,0,3,bcea0b0ab81400a7cc9ca6adaff481c8.jpg,5.6,800,400,13:57:52
+1.0,2012-03-20,2012-03-20 12:33:50,0,3,bd16011b7794858bf7e22610c65bd7c7.jpg,5.6,800,400,12:33:50
+1.0,2012-03-22,2012-03-22 11:11:32,0,3,bd2ff6b6f3f683ae0d566eaf1143b968.jpg,5.6,800,400,11:11:32
+1.0,2012-03-20,2012-03-20 13:57:19,0,3,bd359ecc937946be98f1eab323c3be34.jpg,5.6,800,400,13:57:19
+1.0,2013-02-13,2013-02-13 12:47:00,1,1,bdbeebdc0fe6ed03e27d55325ea09269.jpg,5.6,800,100,12:47:00
+1.0,2013-02-13,2013-02-13 12:17:07,1,1,bdc350c4838afbac2e6928c41189ca9d.jpg,5.6,800,100,12:17:07
+1.0,2013-02-13,2013-02-13 13:25:34,1,1,be53fd60bc25e50a37fb713fb4d4269a.jpg,5.6,800,160,13:25:34
+1.0,2013-01-29,2013-01-29 16:26:53,1,1,be5cab3e46a39ae1996becd0aab7c324.jpg,5.6,800,250,16:26:53
+1.0,2013-02-26,2013-02-26 12:21:27,1,1,bebc0d4a13a2ccaef9db4ce3d82ca630.jpg,5.6,800,200,12:21:27
+1.0,2012-03-20,2012-03-20 13:56:39,0,3,becbdbf1bd880ee64a5829f048e21c7b.jpg,5.6,800,400,13:56:39
+1.0,2013-01-28,2013-01-28 12:42:29,1,1,bf4764ecb73d5a8356203cd5e76b2014.jpg,5.6,800,100,12:42:29
+1.0,2013-01-29,2013-01-29 12:27:31,1,1,bfadd3b4a522231df23a64d8fc8c9f56.jpg,5.6,800,100,12:27:31
+1.0,2012-02-23,2012-02-23 14:58:37,0,3,bfb2152fa2ce0c56ced7bbf88e230866.jpg,5.6,800,400,14:58:37
+1.0,2013-02-19,2013-02-19 16:18:06,1,1,bfe6c499422672dd10b76c7ed35a40c1.jpg,5.6,800,320,16:18:06
+1.0,2012-04-03,2012-04-03 09:45:02,0,3,c029824bc42c426c70e16edef7b0de39.jpg,5.6,800,400,09:45:02
+1.0,2012-04-03,2012-04-03 11:12:22,0,3,c0307b50e53dcdb993df9b835070253c.jpg,5.6,800,400,11:12:22
+1.0,2013-01-29,2013-01-29 16:33:08,1,1,c0316c5b7b73301821fa1e8fd715232c.jpg,5.6,800,320,16:33:08
+1.0,2012-04-03,2012-04-03 11:08:04,0,3,c08eb5b012072aca2d9a34d857a3525e.jpg,5.6,800,400,11:08:04
+1.0,2012-03-20,2012-03-20 15:23:24,0,3,c0bd263dc477266aa04033c8632a4dd7.jpg,5.6,800,400,15:23:24
+1.0,2012-03-22,2012-03-22 11:11:06,0,3,c0e3fef26748c00a4a5678277034b39b.jpg,5.6,800,400,11:11:06
+1.0,2013-02-20,2013-02-20 12:03:21,1,1,c0e632f91360f7191dc56e4317a187d3.jpg,5.6,800,160,12:03:21
+1.0,2012-03-08,2012-03-08 10:48:17,0,3,c0ea35b405347775d41309f163f408bd.jpg,5.6,800,400,10:48:17
+1.0,2013-02-26,2013-02-26 12:17:49,1,1,c15da192a7fc8254d3d49af45a5c0146.jpg,5.6,800,200,12:17:49
+1.0,2013-02-19,2013-02-19 16:34:11,1,1,c184ae2ed021d1186e5b98002b555971.jpg,5.6,800,400,16:34:11
+1.0,2013-02-26,2013-02-26 12:15:19,1,1,c1941e061f478027bf1165203065fbbb.jpg,5.6,800,200,12:15:19
+1.0,2012-03-20,2012-03-20 09:44:55,0,3,c2446c103b6941c553a29ec31a518050.jpg,5.6,800,400,09:44:55
+1.0,2013-02-26,2013-02-26 12:08:49,1,1,c25aeb998b8881c4da35a37360015873.jpg,5.6,800,200,12:08:49
+1.0,2013-01-28,2013-01-28 12:34:21,1,1,c279d3b5ebe6040c82b00a1686b0b5c3.jpg,5.6,800,100,12:34:21
+1.0,2012-04-03,2012-04-03 11:12:04,0,3,c282a28eec3494e966a89482011c8fe7.jpg,5.6,800,400,11:12:04
+1.0,2012-02-23,2012-02-23 14:56:51,0,3,c3087530095c7e95adc8f790701feb83.jpg,5.6,800,400,14:56:51
+1.0,2012-03-20,2012-03-20 12:35:13,0,3,c32105bb746cfa4c3d1fdceafc65db22.jpg,5.6,800,400,12:35:13
+1.0,2012-03-20,2012-03-20 13:58:16,0,3,c37032b6a54951268f058d39ba60a927.jpg,5.6,800,400,13:58:16
+1.0,2012-04-03,2012-04-03 09:38:18,0,3,c37ae851c05bbfc45df2c2afe8b4f60f.jpg,5.6,800,400,09:38:18
+1.0,2012-03-06,2012-03-06 13:28:22,0,3,c3a85d8f1030e3934ca9cbfed7fe7893.jpg,5.6,800,400,13:28:22
+1.0,2013-02-13,2013-02-13 12:34:42,1,1,c3e99b9988f2ae6c7bbf3d8ab6f42b99.jpg,5.6,800,100,12:34:42
+1.0,2012-03-22,2012-03-22 11:04:05,0,3,c4946c2da228938ef6a19250ae6c926b.jpg,5.6,800,400,11:04:05
+1.0,2012-03-20,2012-03-20 12:32:44,0,3,c598f8096b26a28bb576e0e0c53954f9.jpg,5.6,800,400,12:32:44
+1.0,2012-03-20,2012-03-20 09:40:58,0,3,c5c4b106fe3d9dfc11e10d8dd3606b22.jpg,5.6,800,400,09:40:58
+1.0,2012-04-03,2012-04-03 11:08:13,0,3,c635aaa3ee72d28ba5bb0d9f14934f6d.jpg,5.6,800,400,11:08:13
+1.0,2013-01-28,2013-01-28 12:34:11,1,1,c6ee989268c93f364cc927a802c4e1dd.jpg,5.6,800,100,12:34:11
+1.0,2012-04-03,2012-04-03 11:08:11,0,3,c72c73697f42227d3a315d3b61f08256.jpg,5.6,800,400,11:08:11
+1.0,2012-04-03,2012-04-03 09:37:29,0,3,c7ed77e65cba4e03cf6e066b09bc4e2f.jpg,5.6,800,400,09:37:29
+1.0,2012-03-20,2012-03-20 13:58:44,0,3,c8879c60f78d0b06d3a5d66adc3e3655.jpg,5.6,800,400,13:58:44
+1.0,2012-03-22,2012-03-22 11:10:18,0,3,c8d5bcccf8e409a96c01273289fca04b.jpg,5.6,800,400,11:10:18
+1.0,2013-01-29,2013-01-29 16:34:55,1,1,c8e13edf98d5fb269be72583673803c4.jpg,5.6,800,500,16:34:55
+1.0,2013-02-20,2013-02-20 12:40:01,1,1,c9b0eaa2195329df998dbc221eeee518.jpg,5.6,800,100,12:40:01
+1.0,2013-01-28,2013-01-28 12:34:02,1,1,c9f21488f1d9d714bc3307e08445d3ae.jpg,5.6,800,100,12:34:02
+1.0,2013-01-29,2013-01-29 12:27:37,1,1,c9f518262bbb5e2bb60b86538e646349.jpg,5.6,800,100,12:27:37
+1.0,2012-04-03,2012-04-03 09:35:38,0,3,ca03c61eb699c7d40edb8459351e03e8.jpg,5.6,800,400,09:35:38
+1.0,2012-03-06,2012-03-06 13:27:36,0,3,ca19ed6587f04939dba3374190e7b037.jpg,5.6,800,400,13:27:36
+1.0,2013-01-29,2013-01-29 12:31:26,1,1,ca3b28937d3b61bfb4f00706e9797286.jpg,5.6,800,100,12:31:26
+1.0,2012-03-08,2012-03-08 14:53:47,0,3,ca7bc0691025d017d017c75d63875405.jpg,5.6,800,400,14:53:47
+1.0,2012-04-03,2012-04-03 11:11:16,0,3,caab6e059d089317accaa208b1d8cf06.jpg,5.6,800,400,11:11:16
+1.0,2013-02-26,2013-02-26 12:45:02,1,1,cb0c684e311201a4e05ca4b4ae90a0d2.jpg,5.6,800,200,12:45:02
+1.0,2012-03-08,2012-03-08 12:13:15,0,3,cb2c7c19678da587e7fe274093972f0f.jpg,5.6,800,400,12:13:15
+1.0,2013-02-26,2013-02-26 12:19:23,1,1,cb3121453f485a103d4ad30b6353b3a5.jpg,5.6,800,200,12:19:23
+1.0,2013-02-20,2013-02-20 12:26:33,1,1,cbf28725e0279fd81321d35159e23212.jpg,5.6,800,100,12:26:33
+1.0,2012-03-22,2012-03-22 11:06:42,0,3,cbfc726d53103c1d50fcea1d36e40952.jpg,5.6,800,400,11:06:42
+1.0,2012-03-20,2012-03-20 13:57:48,0,3,cc28235bdbb572645cfa6938ecd6438a.jpg,5.6,800,400,13:57:48
+1.0,2012-04-03,2012-04-03 12:27:17,0,3,cc96cc98e645e41b13a03fb5e257a460.jpg,5.6,800,400,12:27:17
+1.0,2012-03-20,2012-03-20 11:04:23,0,3,cd0011ed1e3f22d6e7c9e4cdd97ee9c4.jpg,5.6,800,400,11:04:23
+1.0,2013-02-26,2013-02-26 12:06:14,1,1,cd0ab5f933016e37b7cb42e6474255cf.jpg,5.6,800,200,12:06:14
+1.0,2012-03-20,2012-03-20 12:35:55,0,3,cd1063252cc893bc1b12ca32ca13d52e.jpg,5.6,800,400,12:35:55
+1.0,2012-03-20,2012-03-20 09:46:31,0,3,cd20b0ff39e5d66323e4165c82b0d5c1.jpg,5.6,800,400,09:46:31
+1.0,2012-04-03,2012-04-03 11:05:14,0,3,cd2e5e9e41542df80c5dd0b175fac577.jpg,5.6,800,400,11:05:14
+1.0,2013-01-28,2013-01-28 12:40:58,1,1,ce2bc9ec5b359c32032cea65f1ad6196.jpg,5.6,800,100,12:40:58
+1.0,2013-02-20,2013-02-20 12:04:42,1,1,ce5d369790a32302ac272153ba8f0a4a.jpg,5.6,800,160,12:04:42
+1.0,2013-01-29,2013-01-29 12:31:13,1,1,ce6c4c07713af27b205b6dd03f7529e0.jpg,5.6,800,100,12:31:13
+1.0,2012-04-03,2012-04-03 11:11:33,0,3,cf2f3457cba90d10225f6999eb12c849.jpg,5.6,800,400,11:11:33
+1.0,2013-01-29,2013-01-29 12:34:32,1,1,cf33f28b3b76742fad2c4c981aad17b4.jpg,5.6,800,100,12:34:32
+1.0,2012-04-03,2012-04-03 11:12:38,0,3,cf600410993048ac4a9e7bf27e3c9afb.jpg,5.6,800,400,11:12:38
+1.0,2012-04-03,2012-04-03 11:12:29,0,3,cf7088e6472d5037f207c600864b3ddd.jpg,5.6,800,400,11:12:29
+1.0,2012-03-20,2012-03-20 13:56:16,0,3,cfe1070aa72c431c2db1f79b34c1c06e.jpg,5.6,800,400,13:56:16
+1.0,2012-04-03,2012-04-03 11:12:32,0,3,d17dcdeb1080c2f96733bb1edddd4451.jpg,5.6,800,400,11:12:32
+1.0,2013-01-29,2013-01-29 16:27:42,1,1,d247d88ae810838ef77179eb18e1d74a.jpg,5.6,800,320,16:27:42
+1.0,2012-03-20,2012-03-20 15:24:29,0,3,d29319341a8df004db87094c6857a600.jpg,5.6,800,400,15:24:29
+1.0,2013-02-26,2013-02-26 12:08:31,1,1,d2b2d3094b40f6099d53815891d6a69f.jpg,5.6,800,200,12:08:31
+1.0,2013-01-28,2013-01-28 12:37:54,1,1,d2d47a19b26fe68705d549a1aa3072cb.jpg,5.6,800,100,12:37:54
+1.0,2013-02-20,2013-02-20 12:39:45,1,1,d3205e422c62e11a51d77eb648ce09df.jpg,5.6,800,100,12:39:45
+1.0,2013-02-20,2013-02-20 12:10:08,1,1,d3538e9ac07b45248d843b305f2b28b1.jpg,5.6,800,160,12:10:08
+1.0,2012-03-20,2012-03-20 13:55:40,0,3,d361990ce291bd925d2b18a5db431c56.jpg,5.6,800,400,13:55:40
+1.0,2013-02-26,2013-02-26 12:13:07,1,1,d39baf7305ba948bfb5b555340d1cc28.jpg,5.6,800,160,12:13:07
+1.0,2012-04-03,2012-04-03 09:35:11,0,3,d3fae61b398a3a563704b0dbd095e362.jpg,5.6,800,400,09:35:11
+1.0,2013-01-29,2013-01-29 12:15:02,1,1,d45960b3e667cbfded5dcb075efcdc02.jpg,5.6,800,100,12:15:02
+1.0,2013-02-13,2013-02-13 12:13:42,1,1,d554a43b187291eeb58f9bb574cc83f7.jpg,5.6,800,100,12:13:42
+1.0,2013-01-29,2013-01-29 16:28:01,1,1,d57eeec14922edfa21552a287cf31829.jpg,5.6,800,500,16:28:01
+1.0,2012-03-20,2012-03-20 15:23:06,0,3,d58f91e7b854d467e4dae5d6951add0f.jpg,5.6,800,400,15:23:06
+1.0,2012-03-20,2012-03-20 11:08:47,0,3,d593e83524cdf282a423980984a8c993.jpg,5.6,800,400,11:08:47
+1.0,2012-03-20,2012-03-20 09:45:54,0,3,d5c8f8c6bd23c760c5632977134344a0.jpg,5.6,800,400,09:45:54
+1.0,2012-03-08,2012-03-08 12:11:12,0,3,d609e99e7ddb24f76de60baeb53011ce.jpg,5.6,800,400,12:11:12
+1.0,2012-03-20,2012-03-20 13:58:10,0,3,d688646dfa97c2e47d657698fac4ac9c.jpg,5.6,800,400,13:58:10
+1.0,2013-02-13,2013-02-13 13:26:56,1,1,d6efad6109b7ac1f13fc25e560951486.jpg,5.6,800,160,13:26:56
+1.0,2013-02-13,2013-02-13 12:10:27,1,1,d6f24731504d33ffdb087c658a048e6a.jpg,5.6,800,100,12:10:27
+1.0,2012-03-20,2012-03-20 09:46:36,0,3,d73d3b9bfed80cf36c15e7b0ef32d2d3.jpg,5.6,800,400,09:46:36
+1.0,2013-02-20,2013-02-20 12:39:53,1,1,d7573b2e3521a273986b783e9f2253d9.jpg,5.6,800,100,12:39:53
+1.0,2013-02-13,2013-02-13 13:08:25,1,1,d75cd6feb2de89879c75e4406a6e9ff4.jpg,5.6,800,100,13:08:25
+1.0,2013-01-29,2013-01-29 12:34:33,1,1,d76287f7d083322165a984d5e2cebfb4.jpg,5.6,800,100,12:34:33
+1.0,2013-02-26,2013-02-26 12:12:58,1,1,d780875a7df11ff12c1b33153aca67f8.jpg,5.6,800,200,12:12:58
+1.0,2013-01-28,2013-01-28 12:34:18,1,1,d7e034d14295a78ab8abb94a25bfbe91.jpg,5.6,800,100,12:34:18
+1.0,2012-03-08,2012-03-08 10:43:44,0,3,d7e39dd15628db293835d90dc3d9c3c3.jpg,5.6,800,400,10:43:44
+1.0,2012-04-03,2012-04-03 11:10:17,0,3,d8403b98b67ac1d77b2b60dc25c2f447.jpg,5.6,800,400,11:10:17
+1.0,2012-03-22,2012-03-22 11:09:54,0,3,d94a8effde2c9e7358c6e666269fd62b.jpg,5.6,800,400,11:09:54
+1.0,2013-02-19,2013-02-19 16:26:17,1,1,d95d55f0a3110483bb8cf5957f01a7e7.jpg,5.6,800,500,16:26:17
+1.0,2012-04-03,2012-04-03 11:05:55,0,3,d98aa68140b491cbf8140d5313dd354e.jpg,5.6,800,400,11:05:55
+1.0,2013-02-19,2013-02-19 16:21:40,1,1,d9a816fde19df3cd890ce1a0ca18a9cf.jpg,5.6,800,320,16:21:40
+1.0,2013-02-13,2013-02-13 12:14:28,1,1,d9aae35982daa38777f6da2e3cd9e0b9.jpg,5.6,800,100,12:14:28
+1.0,2013-02-20,2013-02-20 12:13:39,1,1,d9ffe7190099beb0d24be81dc4e45512.jpg,5.6,800,200,12:13:39
+1.0,2013-01-29,2013-01-29 12:07:43,1,1,da25dc1528f1c6ca24fd2dfd7abe39fc.jpg,5.6,800,100,12:07:43
+1.0,2013-01-29,2013-01-29 16:22:49,1,1,da36c86717f4ca6367efd2e4a3838371.jpg,5.6,800,400,16:22:49
+1.0,2012-03-22,2012-03-22 11:07:44,0,3,da3dee4bec7b5030a0c1cc6f8e1f2ecb.jpg,5.6,800,400,11:07:44
+1.0,2012-04-03,2012-04-03 11:11:30,0,3,da69c081d62b34dd850b73b1a8eb70d5.jpg,5.6,800,400,11:11:30
+1.0,2012-04-03,2012-04-03 11:08:18,0,3,da8815d30821ef51480c37287c50327f.jpg,5.6,800,400,11:08:18
+1.0,2012-03-20,2012-03-20 13:57:34,0,3,db3b0e44fad66507fea07df8f33199e8.jpg,5.6,800,400,13:57:34
+1.0,2012-03-20,2012-03-20 09:47:37,0,3,dbd2a9404207bfa63650ecc2728335ff.jpg,5.6,800,400,09:47:37
+1.0,2012-03-22,2012-03-22 11:08:29,0,3,dc044bce41d46ea9b60ad8eb814b8900.jpg,5.6,800,400,11:08:29
+1.0,2012-04-03,2012-04-03 09:35:40,0,3,dc118d4eec81f6a8cb2459480a7ec736.jpg,5.6,800,400,09:35:40
+1.0,2013-01-28,2013-01-28 12:38:40,1,1,dc15b2017503a83e72f8a4b9d7bffce6.jpg,5.6,800,100,12:38:40
+1.0,2012-03-20,2012-03-20 09:45:01,0,3,dc8000b79d253287bd3ee90013d6fdb7.jpg,5.6,800,400,09:45:01
+1.0,2013-02-20,2013-02-20 12:25:54,1,1,dd0497052ed124551eb31f542cc41e2b.jpg,5.6,800,100,12:25:54
+1.0,2012-03-20,2012-03-20 12:33:38,0,3,dd1bedff5df0725c935d111931123011.jpg,5.6,800,400,12:33:38
+1.0,2012-04-03,2012-04-03 11:12:56,0,3,dd28d0ef32ba37e97e5acc7abbf91b0c.jpg,5.6,800,400,11:12:56
+1.0,2012-03-06,2012-03-06 13:28:28,0,3,dd30839b96a3c22aa59fef02d6fe479b.jpg,5.6,800,400,13:28:28
+1.0,2013-02-26,2013-02-26 12:07:50,1,1,dd4571831c5abffe9ddf07be805c2fe1.jpg,5.6,800,160,12:07:50
+1.0,2012-03-08,2012-03-08 12:12:46,0,3,de4e729f317b825a390f3a418975189d.jpg,5.6,800,400,12:12:46
+1.0,2013-02-19,2013-02-19 16:25:04,1,1,de5023df34f1e75c88c7c0cac447844f.jpg,5.6,800,320,16:25:04
+1.0,2013-02-19,2013-02-19 16:25:08,1,1,ded261f49d1505021329253a89b54793.jpg,5.6,800,320,16:25:08
+1.0,2013-01-28,2013-01-28 12:42:37,1,1,df36d1d74cec13c20fe84adc9e771aba.jpg,5.6,800,100,12:42:37
+1.0,2013-02-26,2013-02-26 12:08:26,1,1,df49ac622af5504953b3e37b18bbda6a.jpg,5.6,800,200,12:08:26
+1.0,2012-03-20,2012-03-20 12:36:23,0,3,dfc8cee3c634786bad92e5e02e411df5.jpg,5.6,800,400,12:36:23
+1.0,2013-01-29,2013-01-29 12:08:20,1,1,e00c0bdcf776fecb31a81d2e1c120b37.jpg,5.6,800,100,12:08:20
+1.0,2013-01-29,2013-01-29 16:29:29,1,1,e0145539c1c1a7f0e8101a88ea39683c.jpg,5.6,800,250,16:29:29
+1.0,2013-01-29,2013-01-29 16:25:24,1,1,e091f031c864b225ce2ea5d698c98500.jpg,5.6,800,400,16:25:24
+1.0,2013-02-19,2013-02-19 16:32:09,1,1,e0c4ed8a052be1c73d06e1d32756c777.jpg,5.6,800,400,16:32:09
+1.0,2012-03-20,2012-03-20 09:41:30,0,3,e106f3ea18a68c02e4c834e485d81e1d.jpg,5.6,800,400,09:41:30
+1.0,2013-02-26,2013-02-26 12:09:11,1,1,e1948553f14676bea5c39d7e7d747ed5.jpg,5.6,800,200,12:09:11
+1.0,2013-02-20,2013-02-20 12:09:05,1,1,e1ff3597971ed37a90dd46952912b6e5.jpg,5.6,800,160,12:09:05
+1.0,2012-04-03,2012-04-03 11:13:03,0,3,e22749456bab8d0f7a11938c28f4363d.jpg,5.6,800,400,11:13:03
+1.0,2013-01-29,2013-01-29 12:09:11,1,1,e22b824ffe04366922678f0f63ea59f3.jpg,5.6,800,100,12:09:11
+1.0,2013-01-28,2013-01-28 12:41:26,1,1,e3210d91f3a5ba11342cf70d63c788dd.jpg,5.6,800,100,12:41:26
+1.0,2012-03-13,2012-03-13 11:11:34,0,3,e3345493222ba578b67b7d8088f93b55.jpg,5.6,800,400,11:11:34
+1.0,2013-01-28,2013-01-28 12:38:48,1,1,e364a908df21178e84e3935f870e0123.jpg,5.6,800,100,12:38:48
+1.0,2012-03-20,2012-03-20 09:43:33,0,3,e3ab1f53c0afb687fd51609afbc387be.jpg,5.6,800,400,09:43:33
+1.0,2013-01-29,2013-01-29 12:20:47,1,1,e3bf16259e5dfd1c14e1a918fb07f35f.jpg,5.6,800,100,12:20:47
+1.0,2013-02-20,2013-02-20 12:09:03,1,1,e4061d89df33ac4528820ae9e8c8f8ca.jpg,5.6,800,160,12:09:03
+1.0,2013-02-13,2013-02-13 12:22:02,1,1,e4808f306aa24d4e45ebd69f86b157ec.jpg,5.6,800,100,12:22:02
+1.0,2012-04-03,2012-04-03 11:12:18,0,3,e4cb13bbf5002cc11672eaee44e2af29.jpg,5.6,800,400,11:12:18
+1.0,2013-02-19,2013-02-19 16:31:16,1,1,e4cd28e8003a04e4ebaeae6049ac0a66.jpg,5.6,800,320,16:31:16
+1.0,2013-01-28,2013-01-28 12:34:41,1,1,e511fa13e430014d03e6e14d67b1d08e.jpg,5.6,800,100,12:34:41
+1.0,2012-03-20,2012-03-20 13:55:46,0,3,e517f8d0d00ef990ea0ce7ac9e06d5ff.jpg,5.6,800,400,13:55:46
+1.0,2012-04-03,2012-04-03 12:26:44,0,3,e560d6d37e6ab7add901addce17aca13.jpg,5.6,800,400,12:26:44
+1.0,2012-03-08,2012-03-08 14:55:54,0,3,e5bb9bdc8e74689d9bc5b87f974d7cc3.jpg,5.6,800,400,14:55:54
+1.0,2013-02-13,2013-02-13 12:02:15,1,1,e60b1f1bf97277e6a4812974b90bd2f2.jpg,5.6,800,100,12:02:15
+1.0,2012-03-13,2012-03-13 11:12:16,0,3,e6197065bcd346be1143a92996de6273.jpg,5.6,800,400,11:12:16
+1.0,2012-04-03,2012-04-03 09:41:21,0,3,e65e7e2379150330489a3d722a745602.jpg,5.6,800,400,09:41:21
+1.0,2013-01-29,2013-01-29 16:26:03,1,1,e67f56afb1233c7a5c8daf02c528b54e.jpg,5.6,800,200,16:26:03
+1.0,2013-02-19,2013-02-19 16:33:47,1,1,e68877da9e2cfd276b4975b0d8266cb4.jpg,5.6,800,320,16:33:47
+1.0,2013-01-29,2013-01-29 16:34:08,1,1,e6bbe7e891f736b0fab5b643ec7d71d9.jpg,5.6,800,320,16:34:08
+1.0,2013-02-19,2013-02-19 16:16:18,1,1,e6f3b9cff25a3067c5cc5f673404c39c.jpg,5.6,800,320,16:16:18
+1.0,2012-04-03,2012-04-03 12:32:35,0,3,e716b1d516b60b549167900e71d411e6.jpg,5.6,800,400,12:32:35
+1.0,2012-04-03,2012-04-03 09:42:23,0,3,e7439e1b470ee3d77581aea7de39389a.jpg,5.6,800,400,09:42:23
+1.0,2013-01-29,2013-01-29 16:25:40,1,1,e7a7d5a887467f501ef794f3f13a4528.jpg,5.6,800,250,16:25:40
+1.0,2013-02-26,2013-02-26 12:24:01,1,1,e7bedc8ba4985ff17a26bf274c347580.jpg,5.6,800,200,12:24:01
+1.0,2013-01-29,2013-01-29 12:27:34,1,1,e7f31a690ab2a4965caa359d47e879cf.jpg,5.6,800,100,12:27:34
+1.0,2012-03-20,2012-03-20 13:58:41,0,3,e8395da7d9bdafac6f99680a9cc60e27.jpg,5.6,800,400,13:58:41
+1.0,2012-04-03,2012-04-03 11:05:22,0,3,e86374de9a0dc88b05d1f3c2130c33e7.jpg,5.6,800,400,11:05:22
+1.0,2012-04-03,2012-04-03 11:12:59,0,3,e892e02acbb71b402595d07d954d5879.jpg,5.6,800,400,11:12:59
+1.0,2013-02-13,2013-02-13 12:17:08,1,1,e898d15d9a71d4206de32c8e110e2358.jpg,5.6,800,100,12:17:08
+1.0,2012-03-20,2012-03-20 11:07:21,0,3,e8aae627195d55bfb279550adfff45c8.jpg,5.6,800,400,11:07:21
+1.0,2013-01-29,2013-01-29 16:32:22,1,1,e8c3acabd061290a55bcfba7d880df30.jpg,5.6,800,400,16:32:22
+1.0,2012-04-03,2012-04-03 11:09:28,0,3,e969584d2769073406d0ccb9f8192d3c.jpg,5.6,800,400,11:09:28
+1.0,2012-02-23,2012-02-23 14:58:50,0,3,e9a3e17f46083012dbf73a03a6eb7a85.jpg,5.6,800,400,14:58:50
+1.0,2012-03-13,2012-03-13 11:13:26,0,3,e9dc056706fd0b0df29febb4d799eab9.jpg,5.6,800,400,11:13:26
+1.0,2012-03-20,2012-03-20 12:32:24,0,3,e9f76b370ca049aefe873154bc3d2421.jpg,5.6,800,400,12:32:24
+1.0,2012-04-24,2012-04-24 09:48:23,0,3,ea15bae830e97fac53246dd23cc91b9e.jpg,5.6,800,400,09:48:23
+1.0,2012-04-03,2012-04-03 11:05:51,0,3,ea43bfcf74cbeb9dfa3da7b1bda9e4c9.jpg,5.6,800,400,11:05:51
+1.0,2012-04-03,2012-04-03 12:36:04,0,3,ea82020ecf81d6aead83d99d966e23f3.jpg,5.6,800,400,12:36:04
+1.0,2012-03-20,2012-03-20 09:45:02,0,3,eb1dcbe01fc5cb7bd25d474c642f32e2.jpg,5.6,800,400,09:45:02
+1.0,2012-03-20,2012-03-20 13:59:38,0,3,eb363ee24e94df2431e9435ca0f36cc2.jpg,5.6,800,400,13:59:38
+1.0,2012-03-20,2012-03-20 11:04:25,0,3,eb8838f84154237e46ef53e95007ee80.jpg,5.6,800,400,11:04:25
+1.0,2012-03-20,2012-03-20 12:36:20,0,3,eb8bc0def2d9d9fa9e2b6a1b35f211df.jpg,5.6,800,400,12:36:20
+1.0,2013-02-13,2013-02-13 12:11:08,1,1,eb93765ab2249180307fb2a4ef725aef.jpg,5.6,800,100,12:11:08
+1.0,2012-03-08,2012-03-08 14:57:21,0,3,eb95356bda6ea1529322633cbc1b3406.jpg,5.6,800,400,14:57:21
+1.0,2012-04-03,2012-04-03 11:05:43,0,3,eba1ec74adc0ba5c597d25c0df8a81fd.jpg,5.6,800,400,11:05:43
+1.0,2013-02-26,2013-02-26 12:06:31,1,1,ebafe6f267ca0f6a1068b2eacc818f49.jpg,5.6,800,200,12:06:31
+1.0,2012-03-20,2012-03-20 09:42:04,0,3,ecb5734b2bb4d14f60076551c9fda30d.jpg,5.6,800,400,09:42:04
+1.0,2012-04-03,2012-04-03 11:05:04,0,3,ed08963114368de43bfc0894cb58d44b.jpg,5.6,800,400,11:05:04
+1.0,2012-03-20,2012-03-20 15:23:14,0,3,ed1cf0da54f4f1cf533a0b12bf72a5d6.jpg,5.6,800,400,15:23:14
+1.0,2013-02-19,2013-02-19 16:31:17,1,1,ed664776303beeb0a5a26908e7b92ff0.jpg,5.6,800,320,16:31:17
+1.0,2012-03-20,2012-03-20 13:56:00,0,3,ed6f5d410402dd2f897c84bba77e7cce.jpg,5.6,800,400,13:56:00
+1.0,2013-02-13,2013-02-13 12:17:37,1,1,ed7307abddec5998ac09b30bf1560fb4.jpg,5.6,800,100,12:17:37
+1.0,2013-01-28,2013-01-28 12:38:32,1,1,edbaf076dfeec61eb4383e512f9f7017.jpg,5.6,800,100,12:38:32
+1.0,2013-01-29,2013-01-29 12:34:00,1,1,ee5ab6612a348acc66363a8533ee5e50.jpg,5.6,800,100,12:34:00
+1.0,2013-02-19,2013-02-19 16:33:01,1,1,ee9bd48774c3517825a0bd313ab836fc.jpg,5.6,800,320,16:33:01
+1.0,2013-02-26,2013-02-26 12:24:13,1,1,ee9efbe01cc6e34aaaa8b53bd9eb04d4.jpg,5.6,800,200,12:24:13
+1.0,2013-01-29,2013-01-29 12:19:12,1,1,eeab601ffa8e4841a0e43d9931a5169f.jpg,5.6,800,100,12:19:12
+1.0,2012-04-03,2012-04-03 11:07:49,0,3,eeaf6b66ee5db0c0845448e679676e90.jpg,5.6,800,400,11:07:49
+1.0,2012-04-03,2012-04-03 09:39:50,0,3,eefc9f70d32a7ec46168775ad89a8f03.jpg,5.6,800,400,09:39:50
+1.0,2013-02-19,2013-02-19 16:18:02,1,1,ef4201bc01d5559317eb10f162f3df31.jpg,5.6,800,320,16:18:02
+1.0,2013-02-13,2013-02-13 12:41:53,1,1,efc07fccc4b75bf4dd4c030bb485ee18.jpg,5.6,800,100,12:41:53
+1.0,2012-04-03,2012-04-03 09:44:22,0,3,f000b6662e5daad5b40185e37e0b421c.jpg,5.6,800,400,09:44:22
+1.0,2013-01-29,2013-01-29 12:20:45,1,1,f04aa8d9872a10589645699e1638cd86.jpg,5.6,800,100,12:20:45
+1.0,2012-03-20,2012-03-20 15:23:39,0,3,f06843f1625da22be630b7023dfe9774.jpg,5.6,800,400,15:23:39
+1.0,2012-03-22,2012-03-22 11:11:28,0,3,f081f80a5d6e107431aaefecd3903dc5.jpg,5.6,800,400,11:11:28
+1.0,2012-03-22,2012-03-22 13:58:31,0,3,f087eb42812f0b5a1aff21db4ac113ff.jpg,5.6,800,400,13:58:31
+1.0,2013-02-20,2013-02-20 12:34:10,1,1,f0bff5b3909d5299d3b55f1840a64ffa.jpg,5.6,800,100,12:34:10
+1.0,2012-03-20,2012-03-20 12:33:39,0,3,f0d2126cc38a5ca8300b260904116674.jpg,5.6,800,400,12:33:39
+1.0,2013-01-28,2013-01-28 12:37:57,1,1,f1141d84f0990aca0cd46f7204382bbe.jpg,5.6,800,100,12:37:57
+1.0,2012-03-20,2012-03-20 15:24:09,0,3,f1347d4d93875bd72cffd71fa4da7a22.jpg,5.6,800,400,15:24:09
+1.0,2012-03-06,2012-03-06 13:29:21,0,3,f1635b975e2921697d810eeb92f57815.jpg,5.6,800,400,13:29:21
+1.0,2012-04-03,2012-04-03 11:10:17,0,3,f17af619965bacab81ef86f2da268651.jpg,5.6,800,400,11:10:17
+1.0,2013-02-26,2013-02-26 12:05:19,1,1,f19b9bc43818c61de3420c15c5240c11.jpg,5.6,800,160,12:05:19
+1.0,2013-02-20,2013-02-20 12:25:43,1,1,f1caff8dc1421eabbf433b4737677eba.jpg,5.6,800,100,12:25:43
+1.0,2012-03-20,2012-03-20 12:28:42,0,3,f1e1799651dd415bfa16726f748c903b.jpg,5.6,800,400,12:28:42
+1.0,2013-02-19,2013-02-19 16:30:08,1,1,f1e5bf03d30e610b6a35f1b7893b2593.jpg,5.6,800,320,16:30:08
+1.0,2013-01-29,2013-01-29 16:27:45,1,1,f2215b569f9a3fc6b39f0a77cb2305bf.jpg,5.6,800,400,16:27:45
+1.0,2013-02-26,2013-02-26 12:09:55,1,1,f249c9fd61e9ada63f48450bc7b6d64c.jpg,5.6,800,200,12:09:55
+1.0,2013-02-26,2013-02-26 12:09:45,1,1,f28eb9e5b7337272d5cb83a1fdd3f088.jpg,5.6,800,200,12:09:45
+1.0,2012-03-22,2012-03-22 11:08:44,0,3,f2bdaa2f927c28fef6ffac7920669728.jpg,5.6,800,400,11:08:44
+1.0,2013-02-19,2013-02-19 16:18:44,1,1,f3447366037dc4d23d01bc78858fbcf0.jpg,5.6,800,320,16:18:44
+1.0,2013-01-29,2013-01-29 16:32:35,1,1,f383beaafac0e3566b1a7686d37d5653.jpg,5.6,800,320,16:32:35
+1.0,2013-02-13,2013-02-13 12:45:53,1,1,f3be360094e0dd886c5bc507906729cd.jpg,5.6,800,100,12:45:53
+1.0,2013-01-28,2013-01-28 12:38:28,1,1,f4128acee7d7c84159cfccf73e28b5a5.jpg,5.6,800,100,12:38:28
+1.0,2013-02-20,2013-02-20 12:44:14,1,1,f43446531ccc306febeb896e4475b2ab.jpg,5.6,800,100,12:44:14
+1.0,2012-04-03,2012-04-03 09:35:04,0,3,f4603fab2356237b05dc68c677130adc.jpg,5.6,800,400,09:35:04
+1.0,2012-03-20,2012-03-20 11:05:45,0,3,f46fa68cf84df37a2983167a1a62989c.jpg,5.6,800,400,11:05:45
+1.0,2012-03-08,2012-03-08 14:58:06,0,3,f4977547a2019ec037e029ea90874361.jpg,5.6,800,400,14:58:06
+1.0,2012-04-03,2012-04-03 12:30:13,0,3,f4dbdd0631ed549ce16da3a9ed96c0ba.jpg,5.6,800,400,12:30:13
+1.0,2013-02-20,2013-02-20 12:13:21,1,1,f4dea740242a9bf5cfca6bf63b89826b.jpg,5.6,800,160,12:13:21
+1.0,2013-01-28,2013-01-28 12:42:34,1,1,f53895e809304ba8cae036a39e2479be.jpg,5.6,800,100,12:42:34
+1.0,2012-03-20,2012-03-20 13:58:51,0,3,f5a801a104f185e955ddb21bf6f5b00a.jpg,5.6,800,400,13:58:51
+1.0,2013-02-20,2013-02-20 12:08:02,1,1,f5ac2b430d68c99cbb8bcf6d5ef8811e.jpg,5.6,800,160,12:08:02
+1.0,2013-01-29,2013-01-29 16:22:16,1,1,f5d18c1a76241b6d13c43b35673023e0.jpg,5.6,800,400,16:22:16
+1.0,2013-02-13,2013-02-13 13:29:33,1,1,f663bfc2dcdca2a342f194322fc199ab.jpg,5.6,800,100,13:29:33
+1.0,2013-02-20,2013-02-20 12:06:06,1,1,f670c5af6572615c13961b6b97e3c4ce.jpg,5.6,800,160,12:06:06
+1.0,2013-01-28,2013-01-28 12:33:10,1,1,f6ee13ecbf0a92ce28ec9d6558442a4f.jpg,5.6,800,100,12:33:10
+1.0,2012-04-03,2012-04-03 11:12:58,0,3,f731dee4bdaf1b08c615861171f29b79.jpg,5.6,800,400,11:12:58
+1.0,2012-03-06,2012-03-06 13:28:11,0,3,f73290b6f81e86385e58e8076a914909.jpg,5.6,800,400,13:28:11
+1.0,2013-01-29,2013-01-29 16:29:32,1,1,f736c852965c76c97eb2f8f019b6e0dc.jpg,5.6,800,320,16:29:32
+1.0,2013-02-13,2013-02-13 12:52:14,1,1,f74f86de1bd70cf09dd2b1d6b8e51340.jpg,5.6,800,100,12:52:14
+1.0,2013-02-13,2013-02-13 12:20:35,1,1,f77ef53d6a63fed2a920cba6597dbfef.jpg,5.6,800,100,12:20:35
+1.0,2012-04-03,2012-04-03 09:43:59,0,3,f796ffa3c8962bec55a8d1c5223a964f.jpg,5.6,800,400,09:43:59
+1.0,2013-01-29,2013-01-29 16:25:30,1,1,f7a8e1486f683143482e697dbb00c86a.jpg,5.6,800,250,16:25:30
+1.0,2013-01-28,2013-01-28 12:41:44,1,1,f7c7850202a3e2e87320a2391cceb54e.jpg,5.6,800,100,12:41:44
+1.0,2013-01-29,2013-01-29 12:09:22,1,1,f80eba956e41b388349b5717e7fb8038.jpg,5.6,800,100,12:09:22
+1.0,2012-04-03,2012-04-03 09:35:07,0,3,f84d56d3794ba5fa152214f5726429e4.jpg,5.6,800,400,09:35:07
+1.0,2012-04-03,2012-04-03 09:39:50,0,3,f8e6cff4e5ea29259738a64c6d1f4dba.jpg,5.6,800,400,09:39:50
+1.0,2012-03-20,2012-03-20 15:23:05,0,3,f9073067a79330417e1a3baf7d26bcee.jpg,5.6,800,400,15:23:05
+1.0,2013-01-29,2013-01-29 12:12:16,1,1,f9a6b0d3b2ee96087f5886252250dd73.jpg,5.6,800,100,12:12:16
+1.0,2013-02-19,2013-02-19 16:14:23,1,1,f9fb515125c8270a80c3e983ed2c3206.jpg,5.6,800,320,16:14:23
+1.0,2012-04-03,2012-04-03 12:30:42,0,3,fa235ab2e291d035083b3405e88e919b.jpg,5.6,800,400,12:30:42
+1.0,2012-03-22,2012-03-22 13:57:57,0,3,fa47ace57c9cfbac1efd649a0d0157bf.jpg,5.6,800,400,13:57:57
+1.0,2012-04-03,2012-04-03 11:11:32,0,3,fa5c5501eca433d6cd9b02f96515a703.jpg,5.6,800,400,11:11:32
+1.0,2013-01-29,2013-01-29 16:31:37,1,1,fab983e0e277ebbeeadd584bccb1d242.jpg,5.6,800,500,16:31:37
+1.0,2013-01-29,2013-01-29 16:30:38,1,1,faba6657f74d30f5cc577c03c86428ef.jpg,5.6,800,640,16:30:38
+1.0,2013-02-26,2013-02-26 12:30:07,1,1,fad72febdbd36eef5f637bbd943d0801.jpg,5.6,800,200,12:30:07
+1.0,2012-03-20,2012-03-20 13:58:28,0,3,fadbccccc3baaa8f54c8172c6425ff64.jpg,5.6,800,400,13:58:28
+1.0,2013-01-29,2013-01-29 12:30:51,1,1,fb84a6daa1984b1f859d9483dd9f39fa.jpg,5.6,800,100,12:30:51
+1.0,2012-02-23,2012-02-23 14:54:50,0,3,fbd4cb73ee9d998528f459f3b53f67fe.jpg,5.6,800,400,14:54:50
+1.0,2012-02-23,2012-02-23 14:58:50,0,3,fbe60c5995e73d5088be7cba75998073.jpg,5.6,800,400,14:58:50
+1.0,2012-03-06,2012-03-06 13:28:26,0,3,fc3d05c3d5a6c576b48cb88ed7484112.jpg,5.6,800,400,13:28:26
+1.0,2013-02-19,2013-02-19 16:31:47,1,1,fc9276bd25653bbaa6772ed515a567d7.jpg,5.6,800,320,16:31:47
+1.0,2013-02-20,2013-02-20 12:10:11,1,1,fcb5ef75d1e8cea6bd994bb1c97117de.jpg,5.6,800,160,12:10:11
+1.0,2013-02-20,2013-02-20 12:02:27,1,1,fd098e8f579314e371c5dbe82bcd4ee3.jpg,5.6,800,160,12:02:27
+1.0,2012-03-22,2012-03-22 11:04:50,0,3,fd27481dffb9aafd76804556ef8b8256.jpg,5.6,800,400,11:04:50
+1.0,2012-04-03,2012-04-03 11:09:15,0,3,fd52c1588c010955061f47799de45e3a.jpg,5.6,800,400,11:09:15
+1.0,2013-01-29,2013-01-29 12:18:08,1,1,fd53a88d580630fe3ebcee44358e1572.jpg,5.6,800,100,12:18:08
+1.0,2013-01-29,2013-01-29 16:31:19,1,1,fd56e02c53a5e8e4834d1b99ae287ecb.jpg,5.6,800,250,16:31:19
+1.0,2012-04-03,2012-04-03 11:07:47,0,3,fddb0eb125efaddd61b09251dd1297f3.jpg,5.6,800,400,11:07:47
+1.0,2013-02-20,2013-02-20 12:07:13,1,1,fdf8f3a8b15f1c72306090b1925935fc.jpg,5.6,800,200,12:07:13
+1.0,2012-04-03,2012-04-03 12:30:48,0,3,fe521d366dc14726d0e028b68df1182e.jpg,5.6,800,400,12:30:48
+1.0,2012-03-20,2012-03-20 12:29:52,0,3,fe798780c2a281796f7f53894aa938a0.jpg,5.6,800,400,12:29:52
+1.0,2013-01-29,2013-01-29 16:27:41,1,1,feb351e6e6e5e0d5d1d6b4179c6ddeb9.jpg,5.6,800,250,16:27:41
+1.0,2013-02-26,2013-02-26 12:10:49,1,1,fee000401762fec2dc6f81aca9400298.jpg,5.6,800,160,12:10:49
+1.0,2013-02-26,2013-02-26 12:14:47,1,1,ff68af04ea672b5c7d483d9492f9effa.jpg,5.6,800,200,12:14:47
+1.0,2013-01-29,2013-01-29 16:28:44,1,1,ff8a977f65d6faab107f431946c6f0fd.jpg,5.6,800,250,16:28:44
+1.0,2013-02-13,2013-02-13 13:20:15,1,1,ffa5d35b9dae458312fd0fa8400413ae.jpg,5.6,800,100,13:20:15
+1.0,2013-02-26,2013-02-26 12:26:29,1,1,ffd6fd5afa19fd58816379c2c9516e01.jpg,5.6,800,200,12:26:29
+1.0,2012-03-08,2012-03-08 12:10:09,0,3,738fdfa1cf1456728497d58c47ab3fba.jpg,5.6,800,400,12:10:09
+1.0,2013-02-26,2013-02-26 12:15:05,1,1,ca86e8c88ca31760a80ac242782be68d.jpg,5.6,800,200,12:15:05
+1.0,2012-03-20,2012-03-20 12:36:00,0,3,e968d1f68126c2b33399302d7f7a6841.jpg,5.6,800,400,12:36:00
+1.0,2013-02-20,2013-02-20 12:14:48,1,1,cff747c72bbf403e44f586d3c1437c0c.jpg,5.6,800,125,12:14:48
+1.0,2013-02-19,2013-02-19 16:34:20,1,1,34a59a0641bb18bfc8a88ef94967019f.jpg,5.6,800,320,16:34:20
+1.0,2012-04-03,2012-04-03 11:09:56,0,3,31cf7dd68b570b30d567f143ee55b5e7.jpg,5.6,800,400,11:09:56
+1.0,2012-04-03,2012-04-03 11:05:46,0,3,367af3b6a209c2a155dffd6732e0eac8.jpg,5.6,800,400,11:05:46
+1.0,2012-03-13,2012-03-13 11:09:32,0,3,56f4a447ea2618d766dc19a5f3d606a2.jpg,5.6,800,400,11:09:32
+1.0,2012-03-22,2012-03-22 11:04:10,0,3,f8e86b26a2fe391551720b599eae16e9.jpg,5.6,800,400,11:04:10
+1.0,2013-01-28,2013-01-28 12:34:08,1,1,ca0a2ebe7152b42279d16063d531b966.jpg,5.6,800,100,12:34:08
+1.0,2013-01-29,2013-01-29 12:16:29,1,1,f8a68b583f26d7da4251269c0fc2517c.jpg,5.6,800,100,12:16:29
+1.0,2013-01-29,2013-01-29 12:10:57,1,1,8429b71112a02ede6c4574612cbcbcf8.jpg,5.6,800,100,12:10:57
+1.0,2013-02-19,2013-02-19 16:18:59,1,1,ef87350421d352530332f7e71075d470.jpg,5.6,800,320,16:18:59
+1.0,2013-01-28,2013-01-28 12:38:24,1,1,21bdad3d7485af8646d174bcf84e7415.jpg,5.6,800,100,12:38:24
+1.0,2013-01-28,2013-01-28 12:38:55,1,1,d13ea859881072df79c235b9c85600e4.jpg,5.6,800,100,12:38:55
+1.0,2013-01-29,2013-01-29 12:10:39,1,1,2924dc92fe3d48797dff8a9a3f46938f.jpg,5.6,800,100,12:10:39
+1.0,2012-03-06,2012-03-06 13:31:38,0,3,5e42d23ff8a000f6350677c797b9c267.jpg,5.6,800,400,13:31:38
+1.0,2013-01-29,2013-01-29 16:34:29,1,1,d3521bea82183acf57268f7548180423.jpg,5.6,800,320,16:34:29
+1.0,2012-04-03,2012-04-03 12:36:03,0,3,eaa0250b7459110ad17544e3e272f9cf.jpg,5.6,800,400,12:36:03
+1.0,2013-01-29,2013-01-29 12:30:55,1,1,cfaf27a1d1e6c9d1451820bc2aa84afd.jpg,5.6,800,100,12:30:55
+1.0,2013-02-19,2013-02-19 16:26:00,1,1,2126ba069fa30ca6765d49f9fb8094f5.jpg,5.6,800,320,16:26:00
+1.0,2013-02-26,2013-02-26 12:11:16,1,1,d06ae206660f7ffad16ca6cb4707baca.jpg,5.6,800,200,12:11:16
+1.0,2013-01-29,2013-01-29 12:33:49,1,1,168e20f81b3d7b7725863d170c66005d.jpg,5.6,800,100,12:33:49
+1.0,2013-02-20,2013-02-20 12:09:32,1,1,f9a5c4598b865388e0a21473062ee303.jpg,5.6,800,160,12:09:32
+1.0,2013-01-29,2013-01-29 16:27:28,1,1,934a8dd05405957e6619b2db8967acb9.jpg,5.6,800,320,16:27:28
+1.0,2013-01-28,2013-01-28 12:40:52,1,1,e803cd964e1b9d2174ff23e099b0219a.jpg,5.6,800,100,12:40:52
+1.0,2013-02-13,2013-02-13 12:21:23,1,1,c012882ce0927724eb14d50c1539dce1.jpg,5.6,800,100,12:21:23
+1.0,2013-01-28,2013-01-28 12:39:54,1,1,389d4eeb0fca5f56352b84b34e070116.jpg,5.6,800,100,12:39:54
+1.0,2012-03-13,2012-03-13 11:09:36,0,3,a1291dc4328cd283087907d60de55e22.jpg,5.6,800,400,11:09:36
+1.0,2012-03-22,2012-03-22 11:05:52,0,3,e221859ac4902dee3441b6ac16b6d958.jpg,5.6,800,400,11:05:52
+1.0,2013-02-20,2013-02-20 12:04:32,1,1,257cd9e17dae5cc909a2bab4c38d7275.jpg,5.6,800,160,12:04:32
+1.0,2012-03-08,2012-03-08 15:01:07,0,3,47f685f69a4e95cefab98a5968ddb3d7.jpg,5.6,800,400,15:01:07
+1.0,2012-04-03,2012-04-03 11:05:02,0,3,42ed895d42ac7901ede28909ed878446.jpg,5.6,800,400,11:05:02
+1.0,2012-03-22,2012-03-22 11:06:26,0,3,ab021e15a729d7c59049cc1ea74991e3.jpg,5.6,800,400,11:06:26
+1.0,2013-01-28,2013-01-28 12:42:26,1,1,ac5ffa2701994892a3519059670c83b4.jpg,5.6,800,100,12:42:26
+1.0,2013-01-29,2013-01-29 12:10:16,1,1,72c6955bf19a3ab2e8c473e29ac61755.jpg,5.6,800,100,12:10:16
+1.0,2013-01-28,2013-01-28 12:33:05,1,1,56f49b029f3dcf850b9ef20b8828f2cf.jpg,5.6,800,100,12:33:05
+1.0,2013-02-19,2013-02-19 16:32:26,1,1,6d878511612a598d31330450bbcdca1c.jpg,5.6,800,320,16:32:26
+1.0,2013-02-20,2013-02-20 12:34:21,1,1,1d403de8791598e7b6a290d4af96268e.jpg,5.6,800,100,12:34:21
+1.0,2013-02-20,2013-02-20 12:22:23,1,1,af7b3e54e36f94c2efd5a8d6ebf7a48c.jpg,5.6,800,100,12:22:23
+1.0,2013-01-29,2013-01-29 16:29:07,1,1,ba1396fdf0fb1f033d6366187633b2f3.jpg,5.6,800,400,16:29:07
+1.0,2013-02-20,2013-02-20 12:40:07,1,1,00f40d2e8bff0e217047838ff7994c94.jpg,5.6,800,100,12:40:07
+1.0,2013-02-13,2013-02-13 12:14:26,1,1,a3a4ad6eb1ac27b80a37b2a545bb44d9.jpg,5.6,800,100,12:14:26
+1.0,2013-01-29,2013-01-29 16:31:33,1,1,6eb2bf522f0447205328654e84a76c26.jpg,5.6,800,320,16:31:33
+1.0,2013-01-29,2013-01-29 16:28:58,1,1,584151b03d71639abd937a3368295215.jpg,5.6,800,500,16:28:58
+1.0,2012-04-03,2012-04-03 11:04:48,0,3,0026c4ba8119a16fc4e6c42e1ea9d9cb.jpg,5.6,800,400,11:04:48
+1.0,2013-02-13,2013-02-13 13:08:13,1,1,80f31e8ea9816dcde3c09c2ab302ed6b.jpg,5.6,800,100,13:08:13
+1.0,2013-02-13,2013-02-13 13:13:08,1,1,2fd8457c67d983059243af1a04459a58.jpg,5.6,800,100,13:13:08
+1.0,2013-01-29,2013-01-29 16:33:28,1,1,144b0fe2d2022c99a5652130b337ee96.jpg,5.6,800,400,16:33:28
+1.0,2013-02-26,2013-02-26 12:10:51,1,1,2c9e073d126e6e6bd9f0cdfc6abadce5.jpg,5.6,800,160,12:10:51
+1.0,2012-04-03,2012-04-03 11:08:14,0,3,5bdcdeecbe067f5c94908b461b000d75.jpg,5.6,800,400,11:08:14
+1.0,2012-03-08,2012-03-08 14:53:48,0,3,8e122fcab3cc57a8134b00c8e06158f7.jpg,5.6,800,400,14:53:48
+1.0,2012-03-06,2012-03-06 13:32:45,0,3,93229e912543f43afdb2162e9afcef08.jpg,5.6,800,400,13:32:45
+1.0,2013-01-28,2013-01-28 12:33:12,1,1,ee41a19e2db822a669f426fb11e51c1f.jpg,5.6,800,100,12:33:12
+1.0,2013-02-13,2013-02-13 13:08:30,1,1,b6c3ec1c3a0ff5eddf020450d0c8546a.jpg,5.6,800,100,13:08:30
+1.0,2012-03-22,2012-03-22 11:07:44,0,3,5785d0b36ffc742dcc77a872ee590ee0.jpg,5.6,800,400,11:07:44
+1.0,2013-02-13,2013-02-13 13:00:39,1,1,e9573488f980d76a3a7e1ba642b9e3ed.jpg,5.6,800,100,13:00:39
+1.0,2012-03-13,2012-03-13 11:08:58,0,3,3f3d1694f742582177d0278e83b125cd.jpg,5.6,800,400,11:08:58
+1.0,2013-02-19,2013-02-19 16:16:56,1,1,fb818f598474576b76031f682df82bda.jpg,5.6,800,320,16:16:56
+1.0,2013-01-28,2013-01-28 12:33:35,1,1,92464c4819df392b60bdce281ffc81e2.jpg,5.6,800,100,12:33:35
+1.0,2012-04-26,2012-04-26 11:10:31,0,3,8105a3de954aab22821b649cba82892d.jpg,5.6,800,400,11:10:31
+1.0,2013-02-13,2013-02-13 13:13:02,1,1,e14faf6a45a941c85079a69ad0cfc9d3.jpg,5.6,800,100,13:13:02
+1.0,2012-03-06,2012-03-06 13:28:16,0,3,5225498d473a39479ac26d4012d57814.jpg,5.6,800,400,13:28:16
+1.0,2013-01-29,2013-01-29 12:30:59,1,1,50a71bb830291a54659a14528ec25e86.jpg,5.6,800,100,12:30:59
+1.0,2013-02-20,2013-02-20 12:04:57,1,1,58efd0b476e4dbe10859d2aa1d2a6254.jpg,5.6,800,200,12:04:57
+1.0,2013-02-13,2013-02-13 13:20:13,1,1,28feb9b409e57547a2704f2e3d7b48e1.jpg,5.6,800,100,13:20:13
+1.0,2012-04-03,2012-04-03 09:35:07,0,3,3871d299fc569b17d407342fe280368d.jpg,5.6,800,400,09:35:07
+1.0,2013-02-19,2013-02-19 16:28:45,1,1,ef549098afc69f08e937c56d204413cc.jpg,5.6,800,320,16:28:45
+1.0,2013-01-29,2013-01-29 12:17:21,1,1,ff8a5c44763656a2630d92ab297cdd5c.jpg,5.6,800,100,12:17:21
+1.0,2012-03-08,2012-03-08 10:47:38,0,3,c8d072057b9fee186b1573fb53338d13.jpg,5.6,800,400,10:47:38
+1.0,2013-02-19,2013-02-19 16:21:47,1,1,91ab36183791d249aeee8d7cb730ff8d.jpg,5.6,800,320,16:21:47
+1.0,2012-03-20,2012-03-20 13:58:50,0,3,55f06a9d55bb4516b12ab79a35bda642.jpg,5.6,800,400,13:58:50
+1.0,2013-01-29,2013-01-29 16:24:09,1,1,3e6ac5e9eda363a0a81e3382b0ae1217.jpg,5.6,800,500,16:24:09
+1.0,2013-02-20,2013-02-20 12:13:30,1,1,887dd1f1f94566d22fc18fb2cc6d5298.jpg,5.6,800,200,12:13:30
+1.0,2013-02-19,2013-02-19 16:33:52,1,1,502688cf1189a6d4000be5e1997a0414.jpg,5.6,800,320,16:33:52
+1.0,2012-03-08,2012-03-08 14:53:35,0,3,531b2938299441ebe15c045b5b573cee.jpg,5.6,800,400,14:53:35
+1.0,2013-02-26,2013-02-26 12:15:26,1,1,56af0ca374607c2db559ad2e718b92df.jpg,5.6,800,200,12:15:26
+1.0,2012-04-03,2012-04-03 11:07:48,0,3,0501f42751d05c8476ddb5786d817da4.jpg,5.6,800,400,11:07:48
+1.0,2013-02-20,2013-02-20 12:06:20,1,1,e0d514c3a4d251d18736f09fc67db8dd.jpg,5.6,800,200,12:06:20
+1.0,2012-04-03,2012-04-03 11:10:46,0,3,4e0bddb355fb7068a7b9ff981a9c16cf.jpg,5.6,800,400,11:10:46
+1.0,2012-04-03,2012-04-03 11:11:11,0,3,e42d72c8bdd7627b34e4b74968b09dba.jpg,5.6,800,400,11:11:11
+1.0,2012-03-20,2012-03-20 12:31:32,0,3,501bcb6ac3a1d88bbdbbfcc92edf77fc.jpg,5.6,800,400,12:31:32
+1.0,2013-02-26,2013-02-26 12:12:17,1,1,a943367a2ebd08f203f63393acc8d129.jpg,5.6,800,200,12:12:17
+1.0,2012-03-20,2012-03-20 12:34:32,0,3,30623e290c7426dbbf7464453a7c80cd.jpg,5.6,800,400,12:34:32
+1.0,2012-04-03,2012-04-03 11:07:46,0,3,e993ec2b519a3df53f76f218c231f308.jpg,5.6,800,400,11:07:46
+1.0,2013-02-26,2013-02-26 12:10:28,1,1,78fdb84380d32ab64da48bcbf9162a25.jpg,5.6,800,200,12:10:28
+1.0,2012-03-20,2012-03-20 12:34:40,0,3,a7ba1afac4e80e1636d16bc2807cea8f.jpg,5.6,800,400,12:34:40
+1.0,2012-04-03,2012-04-03 09:41:26,0,3,0685b7fdf3f81beb10f8fa147fa2a894.jpg,5.6,800,400,09:41:26
+1.0,2012-04-03,2012-04-03 09:42:28,0,3,40f18b0074f48a654bd07c8c8b5e8091.jpg,5.6,800,400,09:42:28
+1.0,2012-03-22,2012-03-22 11:07:00,0,3,8817adab66da0c7f577fd6246308a843.jpg,5.6,800,400,11:07:00
+1.0,2012-03-08,2012-03-08 10:46:23,0,3,a5d34d6ead60219818ac2adf6f4d0f4d.jpg,5.6,800,400,10:46:23
+1.0,2012-03-20,2012-03-20 12:35:14,0,3,5139eb2cb337f73c3e1957358a349886.jpg,5.6,800,400,12:35:14
+1.0,2012-03-20,2012-03-20 12:29:51,0,3,55afe783d413fc39778c9216bf224899.jpg,5.6,800,400,12:29:51
+1.0,2013-01-28,2013-01-28 12:33:17,1,1,aef8523883c7748502dd8fe6af432a6f.jpg,5.6,800,100,12:33:17
+1.0,2012-04-24,2012-04-24 09:41:14,0,3,0ba52242378cd8457eff47e907c74117.jpg,5.6,800,400,09:41:14
+1.0,2012-04-03,2012-04-03 09:38:53,0,3,3ff41a199aaffa61d89610ae5c8c5347.jpg,5.6,800,400,09:38:53
+1.0,2013-01-29,2013-01-29 12:17:53,1,1,4018b7fe4406675f2c41815e059935b7.jpg,5.6,800,100,12:17:53
+1.0,2013-01-28,2013-01-28 12:41:50,1,1,1f6662ced3de390afed20c322d9e97d1.jpg,5.6,800,100,12:41:50
+1.0,2013-02-13,2013-02-13 12:45:58,1,1,da4f74d7a3e69ff601be0d80b18342da.jpg,5.6,800,100,12:45:58
+1.0,2013-02-20,2013-02-20 12:34:19,1,1,2e03e4926f1ab89a9abc037d521f24b5.jpg,5.6,800,100,12:34:19
+1.0,2012-04-03,2012-04-03 11:12:33,0,3,cac04b69b233eef1162ae5125b39054c.jpg,5.6,800,400,11:12:33
+1.0,2013-02-20,2013-02-20 12:20:14,1,1,9f26925163b08ed562e8da4615809f0b.jpg,5.6,800,100,12:20:14
+1.0,2013-01-29,2013-01-29 12:07:51,1,1,06ae388b525e472c9185671aa2693229.jpg,5.6,800,100,12:07:51
+1.0,2013-02-19,2013-02-19 16:23:23,1,1,56f5ae6d27531f7e3a756054b2e95240.jpg,5.6,800,320,16:23:23
+1.0,2013-01-29,2013-01-29 16:29:38,1,1,251285e60b87e3838eb7e119a6545d53.jpg,5.6,800,320,16:29:38
+1.0,2012-03-20,2012-03-20 15:23:23,0,3,2c08f4e7055a79094950edd58a4acacf.jpg,5.6,800,400,15:23:23
+1.0,2012-03-13,2012-03-13 11:09:37,0,3,342661628b1c66b00c2974fdcb3345ae.jpg,5.6,800,400,11:09:37
+1.0,2012-03-20,2012-03-20 13:57:22,0,3,45039da714921463787432e732b87c95.jpg,5.6,800,400,13:57:22
+1.0,2012-03-20,2012-03-20 15:22:27,0,3,dacd6c59ac9f862633d7f520f8d0577f.jpg,5.6,800,400,15:22:27
+1.0,2012-04-03,2012-04-03 09:43:58,0,3,50daa3d7450916d5e4ae57d832f9873f.jpg,5.6,800,400,09:43:58
+1.0,2012-03-06,2012-03-06 13:30:11,0,3,51270a61e7eebceb092e70739286d266.jpg,5.6,800,400,13:30:11
+1.0,2012-04-03,2012-04-03 11:09:11,0,3,3a9790185bae8c25d32119a5edca4b79.jpg,5.6,800,400,11:09:11
+1.0,2012-03-20,2012-03-20 11:06:11,0,3,2c2b08a38062e28e2da69fdf2344dc7b.jpg,5.6,800,400,11:06:11
+1.0,2013-02-19,2013-02-19 16:31:14,1,1,6ae7b975bebd14ebf80d321c62ce08f5.jpg,5.6,800,320,16:31:14
+1.0,2012-04-03,2012-04-03 12:37:02,0,3,75ed8725ac3e7f7832d76bffbb7a393e.jpg,5.6,800,400,12:37:02
+1.0,2012-03-20,2012-03-20 15:23:56,0,3,bd8115789b2b0816bbdafc9e9cff85d9.jpg,5.6,800,400,15:23:56
+1.0,2012-03-20,2012-03-20 15:23:03,0,3,e3e04fa6856918068de7a820bb71a617.jpg,5.6,800,400,15:23:03
+1.0,2013-02-13,2013-02-13 12:48:30,1,1,363feb86fc645ac906f97ea1a395a80a.jpg,5.6,800,100,12:48:30
+1.0,2012-03-22,2012-03-22 11:11:00,0,3,69bffe4d77144fadd469ab166123ebb5.jpg,5.6,800,400,11:11:00
+1.0,2013-02-19,2013-02-19 16:28:25,1,1,5ec25450f92470b52f77870fe5b89775.jpg,5.6,800,320,16:28:25
+1.0,2012-03-13,2012-03-13 11:11:32,0,3,91254580df7658d6b6f6ba11d83d78c4.jpg,5.6,800,400,11:11:32
+1.0,2013-01-29,2013-01-29 16:27:19,1,1,5b3decbcd000b793759543de8af39d17.jpg,5.6,800,320,16:27:19
+1.0,2013-02-13,2013-02-13 13:14:22,1,1,f7d802aee39ae92d8063858b1347fdaf.jpg,5.6,800,100,13:14:22
+1.0,2013-02-20,2013-02-20 12:22:35,1,1,c09ff0fc6d4f037e560316305501e45b.jpg,5.6,800,100,12:22:35
+1.0,2012-04-03,2012-04-03 12:32:36,0,3,da35d1b61d86728f2e813f0867e57347.jpg,5.6,800,400,12:32:36
+1.0,2012-04-24,2012-04-24 09:36:54,0,3,019cb02a80826e0f1844fb09a3817fd6.jpg,5.6,800,400,09:36:54
+1.0,2013-01-28,2013-01-28 12:40:45,1,1,78d680f8c5f58271af2dfa47c78886a5.jpg,5.6,800,100,12:40:45
+1.0,2013-02-13,2013-02-13 13:27:33,1,1,7a73584ed5633111e5059655ad12ff67.jpg,5.6,800,100,13:27:33
+1.0,2013-01-29,2013-01-29 16:33:52,1,1,3f077960b2b7a6ede790ee358c25c81f.jpg,5.6,800,400,16:33:52
+1.0,2012-03-06,2012-03-06 13:27:30,0,3,ebf4e16a7dac1fe1c1f2837180591118.jpg,5.6,800,400,13:27:30
+1.0,2012-03-22,2012-03-22 11:10:56,0,3,80c67061dfcb5e44ff098e72de47fd72.jpg,5.6,800,400,11:10:56
+1.0,2012-03-20,2012-03-20 09:44:45,0,3,79e9ad9ca8aadc4ffdf46da41a8e912e.jpg,5.6,800,400,09:44:45
+1.0,2013-01-29,2013-01-29 12:25:39,1,1,497db5b6675554e89ba59f9b0c18887b.jpg,5.6,800,100,12:25:39
+1.0,2013-02-26,2013-02-26 12:06:50,1,1,ab3db4f9185818ec47150ce822a37a0d.jpg,5.6,800,160,12:06:50
+1.0,2013-02-13,2013-02-13 12:01:59,1,1,288c00c162013ef938a01af8a98f5506.jpg,5.6,800,100,12:01:59
+1.0,2013-02-13,2013-02-13 13:26:37,1,1,40dab6a7b6464b4a5dd1170ea20f9bdb.jpg,5.6,800,100,13:26:37
+1.0,2013-02-26,2013-02-26 12:23:29,1,1,f31ca1d4369190bd1e3cb62c5dcd0229.jpg,5.6,800,200,12:23:29
+1.0,2013-01-29,2013-01-29 16:28:57,1,1,1bea79b490f6eba1f38a85a2865c66db.jpg,5.6,800,500,16:28:57
+1.0,2013-01-28,2013-01-28 12:41:21,1,1,037b8ec240b3a34d17d5e545a67965c7.jpg,5.6,800,100,12:41:21
+1.0,2012-03-20,2012-03-20 11:07:54,0,3,7a65948cc6750de247424eddea7623d9.jpg,5.6,800,400,11:07:54
+1.0,2013-01-29,2013-01-29 16:33:41,1,1,46e317291a694806466b621676e60cae.jpg,5.6,800,400,16:33:41
+1.0,2013-01-29,2013-01-29 12:08:08,1,1,4dacf6dff1c7603d2ca9b7ebf49be4f9.jpg,5.6,800,100,12:08:08
+1.0,2012-03-08,2012-03-08 10:43:45,0,3,a5be623ee12c2dcdffd9a1fd11961b6e.jpg,5.6,800,400,10:43:45
+1.0,2013-02-26,2013-02-26 12:16:07,1,1,50e9b3eae19e3c1722b93447f367ff16.jpg,5.6,800,160,12:16:07
+1.0,2012-03-20,2012-03-20 11:07:06,0,3,12a0fbad9c3d58cb6b7349b4a91e0ce5.jpg,5.6,800,400,11:07:06
+1.0,2013-02-26,2013-02-26 12:30:00,1,1,f6199a4546b0c2babe0f9d23c8a922bb.jpg,5.6,800,200,12:30:00
+1.0,2012-03-13,2012-03-13 11:11:21,0,3,c856a5480fa28a6a97addc8e214ddc37.jpg,5.6,800,400,11:11:21
+1.0,2012-03-22,2012-03-22 14:00:12,0,3,4d7f2853dce62b735e8a263d73aaf155.jpg,5.6,800,400,14:00:12
+1.0,2013-02-20,2013-02-20 12:45:07,1,1,882672cb21c43384021d1be81bba8da9.jpg,5.6,800,100,12:45:07
+1.0,2012-03-22,2012-03-22 11:08:40,0,3,687c07c1b0f30fb534363f3c48a65c8c.jpg,5.6,800,400,11:08:40
+1.0,2013-02-13,2013-02-13 12:23:57,1,1,767aba28f0cb2aea2a05a79dae101aa5.jpg,5.6,800,100,12:23:57
+1.0,2013-01-29,2013-01-29 16:27:20,1,1,7ee06f246b40d95965102a0441d36559.jpg,5.6,800,400,16:27:20
+1.0,2013-01-29,2013-01-29 16:34:18,1,1,f068d68eb745e7da280f3cf355ddcbf6.jpg,5.6,800,640,16:34:18
+1.0,2012-03-20,2012-03-20 11:04:15,0,3,2015d9809416d61cc4c1f35fde026150.jpg,5.6,800,400,11:04:15
+1.0,2012-04-03,2012-04-03 09:37:40,0,3,4c6507cd1ff8d6ccee812fce96be264f.jpg,5.6,800,400,09:37:40
+1.0,2013-01-29,2013-01-29 16:30:04,1,1,0f0c1e9317c2fbf37b21131b26c45d7f.jpg,5.6,800,320,16:30:04
+1.0,2013-02-19,2013-02-19 16:19:36,1,1,502b57d8d52aefac32cda28992d66fa6.jpg,5.6,800,320,16:19:36
+1.0,2012-04-03,2012-04-03 09:38:22,0,3,83c831610891e9fc7e2636d303efba27.jpg,5.6,800,400,09:38:22
+1.0,2013-01-29,2013-01-29 16:28:10,1,1,157342c5943e1ef923230af4177b5d72.jpg,5.6,800,320,16:28:10
+1.0,2012-04-03,2012-04-03 09:38:58,0,3,9ad82e4bde740c4c0244ed577aedba2d.jpg,5.6,800,400,09:38:58
+1.0,2012-03-20,2012-03-20 11:04:29,0,3,5fc1b914af4b8a009b762c0b0ffabbe3.jpg,5.6,800,400,11:04:29
+1.0,2012-04-03,2012-04-03 09:41:15,0,3,83c0029aed4009803da562b57157d548.jpg,5.6,800,400,09:41:15
+1.0,2013-02-19,2013-02-19 16:17:32,1,1,08931970efe2370c152dc1eab4490e13.jpg,5.6,800,320,16:17:32
+1.0,2013-02-20,2013-02-20 12:03:15,1,1,09ed971acf55ca47d14be46620e4dc5b.jpg,5.6,800,160,12:03:15
+1.0,2013-02-19,2013-02-19 16:28:20,1,1,a371a48034025bd69039982b66e0c22c.jpg,5.6,800,400,16:28:20
+1.0,2012-04-03,2012-04-03 11:07:55,0,3,040109a638349576a7818b2340d1b919.jpg,5.6,800,400,11:07:55
+1.0,2013-02-26,2013-02-26 12:05:24,1,1,e84e7d32b851cf9f707c1baf974a39c8.jpg,5.6,800,160,12:05:24
+1.0,2012-03-20,2012-03-20 15:25:13,0,3,d17897ef11b4ab00aed6f824624978c1.jpg,5.6,800,400,15:25:13
+1.0,2013-02-13,2013-02-13 12:13:36,1,1,4d61977ea7b63510e209d33967eeadde.jpg,5.6,800,100,12:13:36
+1.0,2013-02-20,2013-02-20 12:13:36,1,1,93f924c371d50d0817053d7faabc1c2a.jpg,5.6,800,160,12:13:36
+1.0,2013-02-13,2013-02-13 12:07:48,1,1,5873c140211c3b66070a9366d0ba203f.jpg,5.6,800,100,12:07:48
+1.0,2013-01-29,2013-01-29 16:26:11,1,1,25b78b0daead038c507eecd9142c6046.jpg,5.6,800,500,16:26:11
+1.0,2013-02-13,2013-02-13 12:23:51,1,1,d04c365b1e5150f800e3af993ff80f53.jpg,5.6,800,100,12:23:51
+1.0,2013-01-29,2013-01-29 12:07:40,1,1,1a0e262861b2dd80163d44de345fe7f6.jpg,5.6,800,100,12:07:40
+1.0,2012-03-22,2012-03-22 11:07:45,0,3,4ade9d05235c7bf0425240315a78e7c4.jpg,5.6,800,400,11:07:45
+1.0,2013-02-19,2013-02-19 16:22:38,1,1,815414d7632821b159e24c0fdf790824.jpg,5.6,800,320,16:22:38
+1.0,2012-03-08,2012-03-08 10:48:15,0,3,76399064dcddd3922568c5e307e4775c.jpg,5.6,800,400,10:48:15
+1.0,2012-03-06,2012-03-06 13:32:11,0,3,97f4eab78492f63b5c126ab4c5a3cd8b.jpg,5.6,800,400,13:32:11
+1.0,2013-02-26,2013-02-26 12:17:48,1,1,cd2463e7c350600ac9952bb616207f05.jpg,5.6,800,200,12:17:48
+1.0,2012-04-03,2012-04-03 11:05:11,0,3,629d52c2a8c6df7f6befd177cdae4e22.jpg,5.6,800,400,11:05:11
+1.0,2013-02-13,2013-02-13 13:00:15,1,1,92d41e4e88b94904962446089e4a458e.jpg,5.6,800,100,13:00:15
+1.0,2013-01-29,2013-01-29 12:17:12,1,1,30eddf041d67bd02f651db7fed0f7afc.jpg,5.6,800,100,12:17:12
+1.0,2013-02-13,2013-02-13 12:05:33,1,1,4cf13fd6b26057876e7adac78a77a866.jpg,5.6,800,100,12:05:33
+1.0,2013-01-28,2013-01-28 12:33:02,1,1,abba43905ddaa1f01de81e4d2e2b5b67.jpg,5.6,800,100,12:33:02
+1.0,2013-02-20,2013-02-20 12:21:51,1,1,f2cbfe761b84c24c2d25c062b53f5eb6.jpg,5.6,800,100,12:21:51
+1.0,2013-02-19,2013-02-19 16:18:58,1,1,9fd85dc6a0836e8a9aeb8bd5fc80b629.jpg,5.6,800,400,16:18:58
+1.0,2013-02-13,2013-02-13 13:14:08,1,1,12e57bd6f3bca21deccd3b9013358ab9.jpg,5.6,800,100,13:14:08
+1.0,2012-03-20,2012-03-20 12:29:58,0,3,1b9a87f8816f2ac7cb3c56cf8803231d.jpg,5.6,800,400,12:29:58
+1.0,2012-03-20,2012-03-20 15:25:02,0,3,e90b9d7e1009e25ca32d6252ac6d1dfc.jpg,5.6,800,400,15:25:02
+1.0,2012-03-20,2012-03-20 15:23:41,0,3,4a1d866b552a83a88a9dca0e3a342390.jpg,5.6,800,400,15:23:41
+1.0,2012-03-13,2012-03-13 11:09:08,0,3,52ccd7ddfecf0b606565ad3103f8736e.jpg,5.6,800,400,11:09:08
+1.0,2012-03-08,2012-03-08 10:46:19,0,3,d71d2f082dea817a9fc2140970147968.jpg,5.6,800,400,10:46:19
+1.0,2013-02-19,2013-02-19 16:27:45,1,1,2c38c8b2f1096a48ae0b9d35b363ff58.jpg,5.6,800,320,16:27:45
+1.0,2012-03-13,2012-03-13 11:11:27,0,3,72b41f5b5d898bc8f99d7f7ff7586932.jpg,5.6,800,400,11:11:27
+1.0,2013-02-19,2013-02-19 16:31:05,1,1,bb1107adc4cd6504bf25b3a54e4c3df3.jpg,5.6,800,320,16:31:05
+1.0,2012-03-08,2012-03-08 10:46:38,0,3,6ddbeb6a28a4b6e640de55ef60f813de.jpg,5.6,800,400,10:46:38
+1.0,2013-02-19,2013-02-19 16:27:43,1,1,16587f84b96ce24adb2b8cd7f81e55ca.jpg,5.6,800,320,16:27:43
+1.0,2013-01-29,2013-01-29 12:33:19,1,1,d3b2fffbc2f224763d079c9e3b1d5cf6.jpg,5.6,800,100,12:33:19
+1.0,2012-03-13,2012-03-13 11:11:13,0,3,d42ad25f53867b1003d13080add6b8ce.jpg,5.6,800,400,11:11:13
+1.0,2013-02-19,2013-02-19 16:28:46,1,1,a3c82325c0f9ccaa05c5b035feda47c5.jpg,5.6,800,320,16:28:46
+1.0,2012-03-20,2012-03-20 12:34:34,0,3,0b6bd2304eddc58084986986f1103d4b.jpg,5.6,800,400,12:34:34
+1.0,2013-01-29,2013-01-29 12:27:21,1,1,bdaa8618ed22c607f8ba7a86377b0249.jpg,5.6,800,100,12:27:21
+1.0,2013-02-20,2013-02-20 12:39:44,1,1,36bb5f324bec15c621827c9f19ee4112.jpg,5.6,800,100,12:39:44
+1.0,2013-01-29,2013-01-29 16:26:02,1,1,ed54158ceffe82a90e7aa59dd166083c.jpg,5.6,800,200,16:26:02
+1.0,2012-04-03,2012-04-03 09:44:50,0,3,8c434cd3b95cd4bafe3f13dfb2f2d06e.jpg,5.6,800,400,09:44:50
+1.0,2013-01-28,2013-01-28 12:33:19,1,1,5055ecdeafc3e7165b54c66b7d782725.jpg,5.6,800,100,12:33:19
+1.0,2013-01-28,2013-01-28 12:34:41,1,1,5ab2f7147e9d2fe782f8dc604f68c11f.jpg,5.6,800,100,12:34:41
+1.0,2012-03-20,2012-03-20 12:30:22,0,3,46e3790952771dbe7f6a928af37292b8.jpg,5.6,800,400,12:30:22
+1.0,2013-01-28,2013-01-28 12:40:24,1,1,1c6240e8ad87bfd0f6cd39081ae2da6e.jpg,5.6,800,100,12:40:24
+1.0,2012-03-20,2012-03-20 15:22:30,0,3,b2ad305702a06f8331bf3a98273ab097.jpg,5.6,800,400,15:22:30
+1.0,2013-02-20,2013-02-20 12:03:48,1,1,312092a64deb1624aa023cd559637e6b.jpg,5.6,800,160,12:03:48
+1.0,2012-04-03,2012-04-03 11:08:21,0,3,245bb5e416da077442c3dd94bc9e2324.jpg,5.6,800,400,11:08:21
+1.0,2013-01-29,2013-01-29 12:10:50,1,1,a8bb57ec33b71ee69fca5897cb64ae59.jpg,5.6,800,100,12:10:50
+1.0,2012-03-20,2012-03-20 15:23:58,0,3,f5f62fdab42f4963fc30f84ce35066a0.jpg,5.6,800,400,15:23:58
+1.0,2012-04-03,2012-04-03 11:07:04,0,3,995b09b01709e9723d6c66f9b133ab0e.jpg,5.6,800,400,11:07:04
+1.0,2012-03-22,2012-03-22 11:11:30,0,3,0c469452d2fcefbaa1a9e9d643869aa7.jpg,5.6,800,400,11:11:30
+1.0,2012-03-08,2012-03-08 12:10:12,0,3,0d300c6cc377f7067592bef7f8d875bf.jpg,5.6,800,400,12:10:12
+1.0,2012-04-03,2012-04-03 11:11:10,0,3,04f4da0caf0fb8aecf3ec40fdbaa5a00.jpg,5.6,800,400,11:11:10
+1.0,2013-01-28,2013-01-28 12:37:20,1,1,aa4f58fd0a37e7147c738096d879576d.jpg,5.6,800,100,12:37:20
+1.0,2012-04-03,2012-04-03 11:08:10,0,3,dcbc4756009c37b146708b70972c9741.jpg,5.6,800,400,11:08:10
+1.0,2012-02-23,2012-02-23 14:56:05,0,3,88f1fdbd46ad7342e49f22a201c34646.jpg,5.6,800,400,14:56:05
+1.0,2013-01-28,2013-01-28 12:42:48,1,1,da3ec936adc1ed7fe9201d66749e6adb.jpg,5.6,800,100,12:42:48
+1.0,2012-03-20,2012-03-20 11:04:13,0,3,ff94b14e7533413d0045352fb1b45e48.jpg,5.6,800,400,11:04:13
+1.0,2012-03-22,2012-03-22 11:11:05,0,3,b2f5fe6aa403e88e4819126cbffc6f42.jpg,5.6,800,400,11:11:05
+1.0,2012-03-08,2012-03-08 14:53:38,0,3,f3c0e1d9f9c7937c5e5f52c0b031e143.jpg,5.6,800,400,14:53:38
+1.0,2012-04-03,2012-04-03 09:35:04,0,3,1f5258cdf530c44974e070a340b438ba.jpg,5.6,800,400,09:35:04
+1.0,2012-03-22,2012-03-22 11:08:06,0,3,45dbd000f94895724e914b57f2b42f6b.jpg,5.6,800,400,11:08:06
+1.0,2012-03-20,2012-03-20 12:32:13,0,3,b7fd92043de459806772220a8d6add93.jpg,5.6,800,400,12:32:13
+1.0,2012-03-20,2012-03-20 11:08:22,0,3,8ad2318c841429e53f8747d728143dde.jpg,5.6,800,400,11:08:22
+1.0,2013-02-19,2013-02-19 16:17:17,1,1,74acdcf5d58f81f9f1b78ea5fe45636c.jpg,5.6,800,320,16:17:17
+1.0,2013-02-20,2013-02-20 12:09:29,1,1,836f14317d98c15f57d2b404f0ec91fb.jpg,5.6,800,200,12:09:29
+1.0,2012-04-03,2012-04-03 09:44:55,0,3,6199074097ace0050c41ca602facf200.jpg,5.6,800,400,09:44:55
+1.0,2013-02-13,2013-02-13 13:27:11,1,1,1672f691277906d6f6f44b687d68d071.jpg,5.6,800,100,13:27:11
+1.0,2012-03-20,2012-03-20 12:36:23,0,3,731725e8d1b8a728c196f044837e6889.jpg,5.6,800,400,12:36:23
+1.0,2012-04-03,2012-04-03 11:08:46,0,3,d5a7f36e6b61016236301bc95164a0df.jpg,5.6,800,400,11:08:46
+1.0,2012-03-20,2012-03-20 11:08:23,0,3,a41e1e75156e842433d66c143a62757f.jpg,5.6,800,400,11:08:23
+1.0,2013-01-29,2013-01-29 12:30:51,1,1,f882d5850adc6ebb1c039f253b6aeefb.jpg,5.6,800,100,12:30:51
+1.0,2012-03-06,2012-03-06 13:32:05,0,3,2d6bf7960550f88c65ffb4164782a44d.jpg,5.6,800,400,13:32:05
+1.0,2013-02-19,2013-02-19 16:26:55,1,1,03b8e147e004af9a29604ce0a9825d13.jpg,5.6,800,320,16:26:55
+1.0,2013-01-28,2013-01-28 12:38:41,1,1,2478454b8932c6f21606679dae367dd8.jpg,5.6,800,100,12:38:41
+1.0,2012-03-13,2012-03-13 11:13:21,0,3,fa2699e9a4c5a2f947d18daffd547599.jpg,5.6,800,400,11:13:21
+1.0,2012-03-13,2012-03-13 11:12:26,0,3,4279fa39d388c60cf423bd2eb2e11f6b.jpg,5.6,800,400,11:12:26
+1.0,2013-02-20,2013-02-20 12:24:08,1,1,aae860d901561d4b0a74d79700144587.jpg,5.6,800,100,12:24:08
+1.0,2012-03-20,2012-03-20 15:24:00,0,3,5782b7864d98ba16f38fcb721729b456.jpg,5.6,800,400,15:24:00
+1.0,2012-04-03,2012-04-03 09:44:15,0,3,18a201731ba0d3206b0533139dcd917b.jpg,5.6,800,400,09:44:15
+1.0,2013-02-13,2013-02-13 12:12:54,1,1,8b5a8c45ec3b334f679a791f156bac80.jpg,5.6,800,100,12:12:54
+1.0,2013-01-29,2013-01-29 16:27:09,1,1,c9f24985700e7c18adba46e7d2272189.jpg,5.6,800,320,16:27:09
+1.0,2012-03-20,2012-03-20 12:32:50,0,3,b8d1a6ba29b52df5c7e090967fef4401.jpg,5.6,800,400,12:32:50
+1.0,2012-03-20,2012-03-20 09:45:03,0,3,e9cf473ab9ad9d8c5697cdf36f1a8347.jpg,5.6,800,400,09:45:03
+1.0,2012-03-22,2012-03-22 13:57:53,0,3,c4694819044c369a73e201f47893ec31.jpg,5.6,800,400,13:57:53
+1.0,2012-03-20,2012-03-20 12:29:56,0,3,384bc15f10fe80302be28a8a8dd1d7a3.jpg,5.6,800,400,12:29:56
+1.0,2012-04-03,2012-04-03 11:13:09,0,3,9371a959992d27647066d1e0e172c215.jpg,5.6,800,400,11:13:09
+1.0,2012-03-08,2012-03-08 14:54:29,0,3,c15503934ae82f1b391277ae99521da7.jpg,5.6,800,400,14:54:29
+1.0,2012-03-20,2012-03-20 11:05:56,0,3,9bb2ff3f6c966cd3d6ffcc0b16f1b4bf.jpg,5.6,800,400,11:05:56
+1.0,2012-04-03,2012-04-03 09:36:12,0,3,b4806055935405004464d4fb9d932e31.jpg,5.6,800,400,09:36:12
+1.0,2012-04-03,2012-04-03 09:41:28,0,3,7333f4a40e4ee162edd44413a0e77f37.jpg,5.6,800,400,09:41:28
+1.0,2013-01-28,2013-01-28 12:34:14,1,1,2299f36cc37f85f1eb6bf1475d2e9310.jpg,5.6,800,100,12:34:14
+1.0,2013-01-29,2013-01-29 12:27:39,1,1,db691374691dd8e447cce3d5db935b74.jpg,5.6,800,100,12:27:39
+1.0,2012-03-08,2012-03-08 10:45:22,0,3,b5dce5450b57cbdf47d72cbe48a59a46.jpg,5.6,800,400,10:45:22
+1.0,2013-01-28,2013-01-28 12:40:26,1,1,0655906c8be6c56ff808ac7a55084819.jpg,5.6,800,100,12:40:26
+1.0,2012-03-08,2012-03-08 14:55:52,0,3,28ac256af232ce47de20c4d7e1cd6f2d.jpg,5.6,800,400,14:55:52
+1.0,2012-03-20,2012-03-20 09:43:38,0,3,8d82795fe67bcfe3ffadcba6db7e7c77.jpg,5.6,800,400,09:43:38
+1.0,2012-03-22,2012-03-22 11:07:03,0,3,1a6bab7f98116a18fa3b70081e800eec.jpg,5.6,800,400,11:07:03
+1.0,2013-01-28,2013-01-28 12:41:23,1,1,cbf9e9b5329717f725bded35d90579f8.jpg,5.6,800,100,12:41:23
+1.0,2013-02-26,2013-02-26 12:19:23,1,1,97a20a5aafb310b5f2ddeada1c786798.jpg,5.6,800,200,12:19:23
+1.0,2013-02-13,2013-02-13 13:14:52,1,1,6dc80a5ee167221865d942124a6e2bc5.jpg,5.6,800,100,13:14:52
+1.0,2012-03-20,2012-03-20 12:30:14,0,3,b363951b9c41993480f398afebb990ba.jpg,5.6,800,400,12:30:14
+1.0,2013-02-19,2013-02-19 16:28:51,1,1,ae21087a4c621ae3c59ed81001f7ec76.jpg,5.6,800,320,16:28:51
+1.0,2012-03-20,2012-03-20 12:34:31,0,3,db402d48625117ae36fb969439819a7d.jpg,5.6,800,400,12:34:31
+1.0,2012-03-20,2012-03-20 12:32:00,0,3,64f09c979fd8d17b8b09cc5f172a8807.jpg,5.6,800,400,12:32:00
+1.0,2013-01-29,2013-01-29 12:31:09,1,1,a7c4eff49e098bd87be7e820eeb457b3.jpg,5.6,800,100,12:31:09
+1.0,2013-01-29,2013-01-29 12:33:18,1,1,33e9c71cf87d5815621bce10b304baba.jpg,5.6,800,100,12:33:18
+1.0,2013-01-29,2013-01-29 12:34:20,1,1,03b84d57a4d2ea67d160271337c0b255.jpg,5.6,800,100,12:34:20
+1.0,2013-02-13,2013-02-13 12:29:15,1,1,87d470a6411a372a365ce147a99668b1.jpg,5.6,800,100,12:29:15
+1.0,2013-02-20,2013-02-20 12:36:02,1,1,faad867a3eae87d1416d044e06a612f3.jpg,5.6,800,100,12:36:02
+1.0,2012-04-03,2012-04-03 11:09:34,0,3,2373dc7d024a151d05bf543c51aa8ac8.jpg,5.6,800,400,11:09:34
+1.0,2012-03-13,2012-03-13 11:09:43,0,3,0d6ddd7268731df6465a46f5f29ceb4a.jpg,5.6,800,400,11:09:43
+1.0,2012-03-20,2012-03-20 13:57:43,0,3,a6d694b67c136e36c7bf8672484adfc9.jpg,5.6,800,400,13:57:43
+1.0,2012-03-22,2012-03-22 13:57:57,0,3,1b3b4d296387c68ccd92600a0c87ebcd.jpg,5.6,800,400,13:57:57
+1.0,2013-01-28,2013-01-28 12:33:24,1,1,4c966c1d499c0de713dadd74fcb65e63.jpg,5.6,800,100,12:33:24
+1.0,2012-03-13,2012-03-13 11:11:28,0,3,61bc4f1cc01c68515b5268ac7f2d0561.jpg,5.6,800,400,11:11:28
+1.0,2012-03-20,2012-03-20 09:45:01,0,3,369185d6561583f935d9a578038e5490.jpg,5.6,800,400,09:45:01
+1.0,2012-03-20,2012-03-20 11:08:49,0,3,eb64dba3a89409f466bb90a23f33718f.jpg,5.6,800,400,11:08:49
+1.0,2012-04-03,2012-04-03 11:10:03,0,3,62905eff888b35e9f8e0cb091f5240ef.jpg,5.6,800,400,11:10:03
+1.0,2012-04-03,2012-04-03 09:36:55,0,3,8db614b4e95f3a28d692af5007116abb.jpg,5.6,800,400,09:36:55
+1.0,2012-03-20,2012-03-20 09:46:00,0,3,989596f11e184e130d99af57f67e30b3.jpg,5.6,800,400,09:46:00
+1.0,2012-03-20,2012-03-20 12:36:50,0,3,b73a6e5b038821f2b23f69a01e5c3f8d.jpg,5.6,800,400,12:36:50
+1.0,2013-02-26,2013-02-26 12:19:03,1,1,f6b7635cc61f460ff6d1afdd97c928e2.jpg,5.6,800,200,12:19:03
+1.0,2013-01-29,2013-01-29 12:14:54,1,1,9df64b5849a02ecc29d11d4d953bc68c.jpg,5.6,800,100,12:14:54
+1.0,2013-02-20,2013-02-20 12:28:55,1,1,2d5010454632c659b8cfb9a88f057239.jpg,5.6,800,100,12:28:55
+1.0,2013-02-20,2013-02-20 12:13:35,1,1,451d4b0cce37a40731b81fe1224bfdaf.jpg,5.6,800,160,12:13:35
+1.0,2013-02-19,2013-02-19 16:25:33,1,1,275b33336e83c47fb2c14888779c23b8.jpg,5.6,800,320,16:25:33
+1.0,2013-02-26,2013-02-26 12:18:52,1,1,9cc8c25564a4443eb3692c98ea3578b8.jpg,5.6,800,200,12:18:52
+1.0,2013-01-28,2013-01-28 12:38:59,1,1,c8efe2a4e1ea140915b1db3769e5195f.jpg,5.6,800,100,12:38:59
+1.0,2013-01-28,2013-01-28 12:42:11,1,1,d0afa08af5a41a433fbb7d899c76c004.jpg,5.6,800,100,12:42:11
+1.0,2013-01-29,2013-01-29 16:25:15,1,1,7b66636055c45d866d782be16635b0a4.jpg,5.6,800,320,16:25:15
+1.0,2012-04-03,2012-04-03 09:44:04,0,3,cf58636d341882de130917237cd282f2.jpg,5.6,800,400,09:44:04
+1.0,2013-01-28,2013-01-28 12:35:31,1,1,b92483c545ebc1b44ddd23420ee42562.jpg,5.6,800,100,12:35:31
+1.0,2013-02-26,2013-02-26 12:10:50,1,1,b96b20db8d62d926a5be111658326f4f.jpg,5.6,800,160,12:10:50
+1.0,2013-02-26,2013-02-26 12:15:20,1,1,2cc3498d38a1e533c21f5252c0085f7b.jpg,5.6,800,200,12:15:20
+1.0,2012-02-23,2012-02-23 14:55:19,0,3,65a8a072d9b1f6d1ffdaeddf1229501b.jpg,5.6,800,400,14:55:19
+1.0,2013-02-26,2013-02-26 12:28:34,1,1,da645fb0455ff4fc662853b6175111cc.jpg,5.6,800,200,12:28:34
+1.0,2013-02-26,2013-02-26 12:17:24,1,1,f33168a6db0fb01c7e116caefd75e8fe.jpg,5.6,800,200,12:17:24
+1.0,2013-02-20,2013-02-20 12:19:25,1,1,35277ddc992652227db4f7c52664ecdb.jpg,5.6,800,100,12:19:25
+1.0,2013-01-29,2013-01-29 16:26:00,1,1,8f611d109017f7cf12e0eb68ab1a86d4.jpg,5.6,800,250,16:26:00
+1.0,2012-04-03,2012-04-03 09:44:36,0,3,abe5e02e688e2d5a2f953ed873e8f2c9.jpg,5.6,800,400,09:44:36
+1.0,2012-03-22,2012-03-22 11:10:59,0,3,5ad6fdb0eef5a382782f4ad7f95e2303.jpg,5.6,800,400,11:10:59
+1.0,2013-02-19,2013-02-19 16:23:03,1,1,530e848a39d0a1c080653d017d38dbcb.jpg,5.6,800,320,16:23:03
+1.0,2012-03-20,2012-03-20 15:23:11,0,3,86a3a96af7d5f9de4c9ac5c755def491.jpg,5.6,800,400,15:23:11
+1.0,2012-03-20,2012-03-20 09:43:33,0,3,e2eb3e26a9aa455d1aaabcc749c0f513.jpg,5.6,800,400,09:43:33
+1.0,2012-04-03,2012-04-03 09:40:49,0,3,32a64c491d4fcaaf288ce59a49905052.jpg,5.6,800,400,09:40:49
+1.0,2013-01-29,2013-01-29 12:07:38,1,1,e8b01f95c2e7eed56547b254e195613e.jpg,5.6,800,100,12:07:38
+1.0,2013-01-28,2013-01-28 12:34:38,1,1,219e0441159b8c97be2dcd6bbcc3f23d.jpg,5.6,800,100,12:34:38
+1.0,2013-02-20,2013-02-20 12:22:06,1,1,37bfdace6373204dc12fa7e8a10dd170.jpg,5.6,800,100,12:22:06
+1.0,2012-03-20,2012-03-20 15:23:15,0,3,b58cbe9fd62cd5b0bef16cb7236a1c1a.jpg,5.6,800,400,15:23:15
+1.0,2013-01-29,2013-01-29 12:12:46,1,1,3b87f49d908bb1a5393dd36f279c18e3.jpg,5.6,800,100,12:12:46
+1.0,2013-02-26,2013-02-26 12:17:35,1,1,acf72090047bf77fba6bc371282b9ad0.jpg,5.6,800,250,12:17:35
+1.0,2013-02-26,2013-02-26 12:23:28,1,1,20aff9ca1ee316ae5e261fee0ef543a9.jpg,5.6,800,200,12:23:28
+1.0,2013-01-29,2013-01-29 16:28:53,1,1,c2e22dae98e42abb381d05f89ff7b71c.jpg,5.6,800,320,16:28:53
+1.0,2013-01-29,2013-01-29 12:09:41,1,1,ea463081bdaf258a9e7c6edc603926ec.jpg,5.6,800,100,12:09:41
+1.0,2012-04-03,2012-04-03 09:42:24,0,3,fd708724aac549b46295506ccc11c70d.jpg,5.6,800,400,09:42:24
+1.0,2012-03-20,2012-03-20 13:59:14,0,3,41632386b6d8574bf7060369f67fec9f.jpg,5.6,800,400,13:59:14
+1.0,2013-02-20,2013-02-20 12:26:19,1,1,22fe36294bbe09392d42fd6638b113c7.jpg,5.6,800,100,12:26:19
+1.0,2013-02-19,2013-02-19 16:32:24,1,1,ba7ee64ff49f02a36f0f61e469d926e2.jpg,5.6,800,320,16:32:24
+1.0,2012-03-20,2012-03-20 15:23:26,0,3,2e3a2c04392125add9350bba65bd4e03.jpg,5.6,800,400,15:23:26
+1.0,2013-01-29,2013-01-29 16:26:01,1,1,94d004bc5e4a84b6aa9621d928bbc762.jpg,5.6,800,200,16:26:01
+1.0,2012-03-13,2012-03-13 11:13:26,0,3,29a49ec4e6ae866a69f7e6fb982c2ed4.jpg,5.6,800,400,11:13:26
+1.0,2012-03-20,2012-03-20 13:58:50,0,3,106c0a54a3ad3d31d430978acc5b93d0.jpg,5.6,800,400,13:58:50
+1.0,2013-01-28,2013-01-28 12:38:55,1,1,980925b45917fd8566ac33b222424f90.jpg,5.6,800,100,12:38:55
+1.0,2013-01-29,2013-01-29 16:28:43,1,1,a8434ab790d37afa17985d9524bba7a6.jpg,5.6,800,250,16:28:43
+1.0,2012-04-03,2012-04-03 11:08:48,0,3,f3c96fc9cbbe744e100884a487c412b2.jpg,5.6,800,400,11:08:48
+1.0,2013-02-20,2013-02-20 12:24:02,1,1,dea54001bb26cd826d2b79ba18ee3025.jpg,5.6,800,100,12:24:02
+1.0,2012-03-20,2012-03-20 13:59:32,0,3,435af233e92545c73b6c082ddc73d4cb.jpg,5.6,800,400,13:59:32
+1.0,2013-01-28,2013-01-28 12:38:37,1,1,8e1647ca28a8426c044fc67025725b90.jpg,5.6,800,100,12:38:37
+1.0,2013-02-20,2013-02-20 12:44:16,1,1,66f433e91e9cce32fdfaa8459d0ceee4.jpg,5.6,800,100,12:44:16
+1.0,2012-03-22,2012-03-22 11:06:36,0,3,0131edeef3fd1515d476aef149443532.jpg,5.6,800,400,11:06:36
+1.0,2012-03-08,2012-03-08 10:47:17,0,3,58eb76951e5757347919747903d5295d.jpg,5.6,800,400,10:47:17
+1.0,2013-01-29,2013-01-29 16:33:04,1,1,ff19643e8a08b7a6d4672092167242ea.jpg,5.6,800,320,16:33:04
+1.0,2012-03-20,2012-03-20 09:45:50,0,3,560bf2d55ed61d6a1678e580cfa5fea4.jpg,5.6,800,400,09:45:50
+1.0,2013-02-13,2013-02-13 13:30:44,1,1,d4de7981fee7210f07be68053df667dc.jpg,5.6,800,125,13:30:44
+1.0,2013-02-19,2013-02-19 16:29:45,1,1,9b20829cf0db6a88ed4fdb9f2906031d.jpg,5.6,800,320,16:29:45
+1.0,2012-03-20,2012-03-20 13:55:55,0,3,116ae7fef92c01288819db3c7d59c89d.jpg,5.6,800,400,13:55:55
+1.0,2012-03-20,2012-03-20 09:43:42,0,3,584916bc559f456b14fcc10b8da3b503.jpg,5.6,800,400,09:43:42
+1.0,2013-01-28,2013-01-28 12:38:09,1,1,9a59f96eb1eb539978fde8e93517f359.jpg,5.6,800,100,12:38:09
+1.0,2013-02-26,2013-02-26 12:23:31,1,1,f7c1ba881dd87380dff6dbbfa873d37f.jpg,5.6,800,200,12:23:31
+1.0,2013-02-26,2013-02-26 12:25:32,1,1,d794d4305f5ffa38a3584c4603c67ed5.jpg,5.6,800,200,12:25:32
+1.0,2012-03-22,2012-03-22 11:11:27,0,3,2a52bf251251b443f378f7baadfd1bd6.jpg,5.6,800,400,11:11:27
+1.0,2013-01-29,2013-01-29 16:24:47,1,1,07fdbbc979741061d135f41eecb9e8aa.jpg,5.6,800,400,16:24:47
+1.0,2012-04-03,2012-04-03 11:08:55,0,3,f5a1e1fb34417f0c6869e49947197ea4.jpg,5.6,800,400,11:08:55
+1.0,2012-03-20,2012-03-20 09:46:48,0,3,e728bb0bf466d1a9d57805249b6e3eb7.jpg,5.6,800,400,09:46:48
+1.0,2012-03-20,2012-03-20 13:58:34,0,3,f37631b944a99c692147f59f77a99beb.jpg,5.6,800,400,13:58:34
+1.0,2013-02-19,2013-02-19 16:31:17,1,1,fd6cf88dc40ada9738c5e95f2150be41.jpg,5.6,800,320,16:31:17
+1.0,2012-03-20,2012-03-20 12:32:11,0,3,978fdb2b7ec0d9ba993ee66169847dc1.jpg,5.6,800,400,12:32:11
+1.0,2012-03-20,2012-03-20 13:58:29,0,3,15ff38a9a28674e348569f04b3305c43.jpg,5.6,800,400,13:58:29
+1.0,2013-02-26,2013-02-26 12:09:36,1,1,00210c5646520304c9b950ac058d661a.jpg,5.6,800,200,12:09:36
+1.0,2012-04-03,2012-04-03 09:41:21,0,3,c1056b20860b3e2afa25ac3eb6e9d6ed.jpg,5.6,800,400,09:41:21
+1.0,2013-01-29,2013-01-29 16:34:52,1,1,5abcd08dc85459970026bef00b031050.jpg,5.6,800,800,16:34:52
+1.0,2012-03-08,2012-03-08 12:12:11,0,3,2bd78f3edd5e283045cc4a83ed5ab5f3.jpg,5.6,800,400,12:12:11
+1.0,2013-02-13,2013-02-13 13:12:55,1,1,eb07ff25a7bc201185116fa155d610ae.jpg,5.6,800,100,13:12:55
+1.0,2012-03-20,2012-03-20 11:05:31,0,3,285cc7fff941becb27a9db98a5cc157d.jpg,5.6,800,400,11:05:31
+1.0,2013-02-20,2013-02-20 12:01:49,1,1,9088557b99842b4125afd42665407ae2.jpg,5.6,800,160,12:01:49
+1.0,2012-03-20,2012-03-20 12:36:50,0,3,8102b442231814746d4e2c179cb75edd.jpg,5.6,800,400,12:36:50
+1.0,2013-01-28,2013-01-28 12:38:21,1,1,5bb6d22d6c602b7c9e88165dd740d2cd.jpg,5.6,800,100,12:38:21
+1.0,2013-02-19,2013-02-19 16:33:41,1,1,702d8a5d7afe1d75a912e325c4216eef.jpg,5.6,800,320,16:33:41
+1.0,2012-04-03,2012-04-03 11:05:20,0,3,b3060ad9d8c0a5ec11bc78fb15833453.jpg,5.6,800,400,11:05:20
+1.0,2013-02-20,2013-02-20 12:24:32,1,1,2442b394be8a96e8a2c975880622f5d6.jpg,5.6,800,100,12:24:32
+1.0,2013-01-29,2013-01-29 12:12:59,1,1,8fe119246124a7da20e03605f77ce67d.jpg,5.6,800,100,12:12:59
+1.0,2013-02-13,2013-02-13 12:48:14,1,1,21a6bbdbf127454c357d38472b71ffd2.jpg,5.6,800,100,12:48:14
+1.0,2013-02-20,2013-02-20 12:04:27,1,1,1f0fee43596d7ec2bd072a24521a8525.jpg,5.6,800,160,12:04:27
+1.0,2013-02-13,2013-02-13 12:33:02,1,1,ed7fe3bf88849d9cca6ef5794a76c42a.jpg,5.6,800,100,12:33:02
+1.0,2013-02-20,2013-02-20 12:09:06,1,1,405f725bed1bc037926772a6bb1f90d1.jpg,5.6,800,160,12:09:06
+1.0,2012-03-20,2012-03-20 09:41:25,0,3,25c93124b54dc99a39a72765a97cb9b1.jpg,5.6,800,400,09:41:25
+1.0,2013-02-20,2013-02-20 12:42:49,1,1,a87a4fafcf2de72dd8dcff1aeaa51ddd.jpg,5.6,800,100,12:42:49
+1.0,2012-04-03,2012-04-03 11:08:47,0,3,5fbc0884e9a24422338c6cf25c8d655e.jpg,5.6,800,400,11:08:47
+1.0,2013-02-13,2013-02-13 12:19:56,1,1,31edba53f3292ae382126062c6dd75b7.jpg,5.6,800,100,12:19:56
+1.0,2012-04-03,2012-04-03 09:37:28,0,3,be90740d9a06190516b2359cca7f26f9.jpg,5.6,800,400,09:37:28
+1.0,2013-01-29,2013-01-29 12:13:12,1,1,c348eee02130467f7cd07cbbd0cb4084.jpg,5.6,800,100,12:13:12
+1.0,2013-02-20,2013-02-20 12:02:54,1,1,bfd0f4d0248f0e87970091721de76d5a.jpg,5.6,800,160,12:02:54
+1.0,2013-01-29,2013-01-29 12:33:38,1,1,7cfcce205a8a64e3a1a4dc05c805d9fa.jpg,5.6,800,100,12:33:38
+1.0,2013-02-26,2013-02-26 12:12:49,1,1,d2dd6a0b71ec89f165c8ac9537b0ab7b.jpg,5.6,800,160,12:12:49
+1.0,2012-03-20,2012-03-20 12:28:43,0,3,a849a3edae88f5edde1354281db6eca7.jpg,5.6,800,400,12:28:43
+1.0,2013-01-29,2013-01-29 16:33:44,1,1,b3ad787586688ed70b5efea8022cdd0c.jpg,5.6,800,800,16:33:44
+1.0,2012-04-03,2012-04-03 09:35:13,0,3,11d67fac3e09626f2ae021095523e2cc.jpg,5.6,800,400,09:35:13
+1.0,2012-04-03,2012-04-03 11:08:33,0,3,7b15d09dd3dc09f132bf1178dc5cedaa.jpg,5.6,800,400,11:08:33
+1.0,2012-03-20,2012-03-20 15:22:28,0,3,76250b08fb2151f9bdce7fb2960f9cea.jpg,5.6,800,400,15:22:28
+1.0,2013-02-26,2013-02-26 12:29:00,1,1,14f4f849a1abe0e61546c9cb9a6857b1.jpg,5.6,800,200,12:29:00
+1.0,2013-02-19,2013-02-19 16:30:58,1,1,d2d23e508c4ee96818dd359088012c7a.jpg,5.6,800,400,16:30:58
+1.0,2012-03-20,2012-03-20 13:56:13,0,3,c18bd0a35e3ee26f0e1258c24fe4da7f.jpg,5.6,800,400,13:56:13
+1.0,2013-02-20,2013-02-20 12:24:04,1,1,f977339e052a7578b6f1d1fe5d2c9262.jpg,5.6,800,100,12:24:04
+1.0,2013-01-29,2013-01-29 16:22:50,1,1,ba15436776318790b3560265639d346a.jpg,5.6,800,250,16:22:50
+1.0,2013-01-29,2013-01-29 16:23:25,1,1,c90fb9126c76d52a72c457bd84ecb861.jpg,5.6,800,320,16:23:25
+1.0,2012-03-22,2012-03-22 11:08:31,0,3,ae01b4c263d01099ab5c264d6a99b07d.jpg,5.6,800,400,11:08:31
+1.0,2012-04-03,2012-04-03 09:37:28,0,3,f58b088d7f4f6b544e30787683c41589.jpg,5.6,800,400,09:37:28
+1.0,2012-04-03,2012-04-03 12:34:43,0,3,7abd168baffbd3310c5aebd257a8d665.jpg,5.6,800,400,12:34:43
+1.0,2013-02-26,2013-02-26 12:04:22,1,1,bf967b254b9e6d55169ce3a6af38420e.jpg,5.6,800,160,12:04:22
+1.0,2013-02-20,2013-02-20 12:25:04,1,1,bfcff9ac7ab3c267ed941634f2c5a319.jpg,5.6,800,100,12:25:04
+1.0,2013-02-26,2013-02-26 12:45:11,1,1,27f15202a03595797617b7cbdbd0e1c8.jpg,5.6,800,200,12:45:11
+1.0,2012-03-13,2012-03-13 11:09:03,0,3,c14f7487c14d3c5aa69f49eea0bb921a.jpg,5.6,800,400,11:09:03
+1.0,2013-01-28,2013-01-28 12:34:42,1,1,72dabc4359ba2492d3da88f86a4fc106.jpg,5.6,800,100,12:34:42
+1.0,2012-04-03,2012-04-03 11:12:54,0,3,d7139b6928503ba108bf34fa1454f796.jpg,5.6,800,400,11:12:54
+1.0,2012-04-03,2012-04-03 09:44:53,0,3,24ee5726edeccaf565c00f51f5c337bb.jpg,5.6,800,400,09:44:53
+1.0,2012-03-08,2012-03-08 14:54:29,0,3,05398976b4ba5d73b178761ed9da8b5a.jpg,5.6,800,400,14:54:29
+1.0,2013-02-19,2013-02-19 16:19:05,1,1,d0b41e7583ff2c2482a3de1addb77329.jpg,5.6,800,320,16:19:05
+1.0,2013-01-29,2013-01-29 16:35:13,1,1,acf0a1e55f23a610d7fe16ad8d7c7425.jpg,5.6,800,320,16:35:13
+1.0,2013-02-20,2013-02-20 12:21:48,1,1,eb78875bdbcd4fe2990734cd5d27347c.jpg,5.6,800,100,12:21:48
+1.0,2012-03-08,2012-03-08 14:54:46,0,3,82e32482884da62c39eba9598260ea78.jpg,5.6,800,400,14:54:46
+1.0,2012-03-22,2012-03-22 11:07:45,0,3,46d3d34f5ca23302bbff94e27442b732.jpg,5.6,800,400,11:07:45
+1.0,2013-02-20,2013-02-20 12:34:54,1,1,cb7052c30a47baef6450a8b35acf201c.jpg,5.6,800,100,12:34:54
+1.0,2012-02-23,2012-02-23 14:54:44,0,3,19f72e944acad61cf46724197536d44d.jpg,5.6,800,400,14:54:44
+1.0,2012-03-22,2012-03-22 11:04:57,0,3,e9e6ee86fb1e18a8fbae329459fb691c.jpg,5.6,800,400,11:04:57
+1.0,2012-03-20,2012-03-20 13:55:46,0,3,4b0b52cf666f283bc8e7d11bfcd3bd12.jpg,5.6,800,400,13:55:46
+1.0,2012-04-25,2012-04-25 11:03:52,0,3,dc958284b06f9db6fd66bf0bfa61b6af.jpg,5.6,800,400,11:03:52
+1.0,2013-01-28,2013-01-28 12:40:04,1,1,c6241d5e12329a924accd5379aa1dfcb.jpg,5.6,800,100,12:40:04
+1.0,2012-03-20,2012-03-20 15:23:20,0,3,a02380a412d07a7d82680ac48f8c495c.jpg,5.6,800,400,15:23:20
+1.0,2013-01-28,2013-01-28 12:38:07,1,1,db953fed6c1def2c2880c5f7d2d06c65.jpg,5.6,800,100,12:38:07
+1.0,2013-01-28,2013-01-28 12:33:13,1,1,d611ed2e2462ad7323c5b3b40080b80b.jpg,5.6,800,100,12:33:13
+1.0,2013-02-26,2013-02-26 12:15:17,1,1,80cba8cf16b158a033c6d399848e2814.jpg,5.6,800,200,12:15:17
+1.0,2013-02-19,2013-02-19 16:22:11,1,1,a1c1c73ce9317c40dac89cae934f31ed.jpg,5.6,800,320,16:22:11
+1.0,2012-03-06,2012-03-06 13:34:08,0,3,bd1f22e1f2f117754669b41787f87800.jpg,5.6,800,400,13:34:08
+1.0,2012-03-13,2012-03-13 11:13:24,0,3,f43453137fe05abb760e6b4874040fad.jpg,5.6,800,400,11:13:24
+1.0,2013-01-28,2013-01-28 12:34:47,1,1,a5d497f08b61c356cdfdbe6364a29b71.jpg,5.6,800,100,12:34:47
+1.0,2013-02-26,2013-02-26 12:33:04,1,1,c763b08e0c74aa2b13385368ea888791.jpg,5.6,800,200,12:33:04
+1.0,2013-02-26,2013-02-26 12:10:31,1,1,14d206680150634b6c936d7b449031e1.jpg,5.6,800,200,12:10:31
+1.0,2013-01-28,2013-01-28 12:42:16,1,1,a9307f35529e8af4cc5e04f6dda8bde6.jpg,5.6,800,100,12:42:16
+1.0,2013-02-20,2013-02-20 12:25:28,1,1,9f9ee600ab8d2690f43376bfbbde5b22.jpg,5.6,800,100,12:25:28
+1.0,2013-01-29,2013-01-29 16:26:06,1,1,a5f0a27e49d3b1b3c19ba3f9d29d3731.jpg,5.6,800,320,16:26:06
+1.0,2012-03-13,2012-03-13 11:13:22,0,3,887a4aa0fcc0b74d3acfa2c78814068b.jpg,5.6,800,400,11:13:22
+1.0,2013-02-19,2013-02-19 16:25:01,1,1,0830cf4f24a54bd61faf3a109172b58b.jpg,5.6,800,400,16:25:01
+1.0,2013-02-19,2013-02-19 16:17:46,1,1,7c31e1726da8ac093972828d5ad80949.jpg,5.6,800,320,16:17:46
+1.0,2012-03-22,2012-03-22 13:57:59,0,3,0fcfc96635499e220b23ea31a4a8efab.jpg,5.6,800,400,13:57:59
+1.0,2012-04-03,2012-04-03 09:37:04,0,3,5309bb62cc566b928ce7fd87ab75be81.jpg,5.6,800,400,09:37:04
+1.0,2012-03-08,2012-03-08 14:53:34,0,3,f2b6c0d0d63f6ddabedc9f8c4841fe07.jpg,5.6,800,400,14:53:34
+1.0,2013-02-20,2013-02-20 12:28:56,1,1,8a14001c4c3189dbeca59439fea38117.jpg,5.6,800,100,12:28:56
+1.0,2013-02-19,2013-02-19 16:28:57,1,1,49a635f2a6009560f1e49a3d3f90eb80.jpg,5.6,800,320,16:28:57
+1.0,2012-03-08,2012-03-08 12:10:22,0,3,26155bdaeb041e2ec42e7b52b05f817d.jpg,5.6,800,400,12:10:22
+1.0,2013-02-19,2013-02-19 16:18:16,1,1,ad4f96dad6f44c889c720ce59041de9e.jpg,5.6,800,320,16:18:16
+1.0,2012-03-22,2012-03-22 11:08:22,0,3,98bc96e1da375b2f0a47c7048e737e0f.jpg,5.6,800,400,11:08:22
+1.0,2013-02-13,2013-02-13 12:52:51,1,1,d8816db9e4c6d963b1788cfe915ac599.jpg,5.6,800,100,12:52:51
+1.0,2013-02-19,2013-02-19 16:27:16,1,1,fd4258acb435a16aa6fd2cb50d593a54.jpg,5.6,800,320,16:27:16
+1.0,2012-03-20,2012-03-20 13:57:57,0,3,117b427dea33af43ebeafcb30a92f263.jpg,5.6,800,400,13:57:57
+1.0,2013-02-19,2013-02-19 16:33:00,1,1,978e7a32e3b97fec78bdeab3d2810f0c.jpg,5.6,800,500,16:33:00
+1.0,2012-03-20,2012-03-20 12:30:52,0,3,9accc8228926666fd6b6641930ff369a.jpg,5.6,800,400,12:30:52
+1.0,2013-02-13,2013-02-13 12:54:45,1,1,8e3bfbd7a7474f78965f898dbf26b820.jpg,5.6,800,100,12:54:45
+1.0,2013-01-29,2013-01-29 12:16:57,1,1,7b1d5d1d8c93776e8f4ff3c77de67e5d.jpg,5.6,800,100,12:16:57
+1.0,2012-04-26,2012-04-26 12:37:08,0,3,62b6b7be294af521478c6fd280748287.jpg,5.6,800,400,12:37:08
+1.0,2012-03-08,2012-03-08 10:43:45,0,3,c73afdc8b481bf2113a1c60bc9b70801.jpg,5.6,800,400,10:43:45
+1.0,2012-03-22,2012-03-22 11:05:53,0,3,e55abdb93da56d1779ca67b2a09f781e.jpg,5.6,800,400,11:05:53
+1.0,2013-02-20,2013-02-20 12:44:24,1,1,1fca9037fa1a4476b86498f4041b54e1.jpg,5.6,800,100,12:44:24
+1.0,2012-03-20,2012-03-20 09:42:07,0,3,2449111a01b814be6907affb6414aaa9.jpg,5.6,800,400,09:42:07
+1.0,2012-03-08,2012-03-08 12:13:19,0,3,fd700b84cf2f52639471368fd0d2cd00.jpg,5.6,800,400,12:13:19
+1.0,2012-03-20,2012-03-20 12:32:52,0,3,5d765749e02fa521d3848e1cff0757ff.jpg,5.6,800,400,12:32:52
+1.0,2012-04-03,2012-04-03 09:37:20,0,3,c4e08a15fcbe1722cb5f0d061514aa07.jpg,5.6,800,400,09:37:20
+1.0,2013-01-29,2013-01-29 16:33:51,1,1,4676a423bc0eaec3e67bc303245a214a.jpg,5.6,800,640,16:33:51
+1.0,2012-03-13,2012-03-13 11:09:31,0,3,19959dcf64464284ba8d7ba92fa1566c.jpg,5.6,800,400,11:09:31
+1.0,2013-01-29,2013-01-29 16:27:56,1,1,fe56138eb9b317c9817e937987573248.jpg,5.6,800,320,16:27:56
+1.0,2013-02-20,2013-02-20 12:24:20,1,1,93a68af18f332b9f465c2c0c3db94610.jpg,5.6,800,100,12:24:20
+1.0,2013-02-20,2013-02-20 12:09:31,1,1,876004e866ed4d9cc634761f05636255.jpg,5.6,800,200,12:09:31
+1.0,2012-04-03,2012-04-03 09:40:51,0,3,6ceb4e57576d11dca6769ff8781b841e.jpg,5.6,800,400,09:40:51
+1.0,2013-01-28,2013-01-28 12:42:44,1,1,4313f24b526fb51e329ee24da49431db.jpg,5.6,800,100,12:42:44
+1.0,2013-02-19,2013-02-19 16:19:32,1,1,809af74b404b65cd8202a6de249a449c.jpg,5.6,800,320,16:19:32
+1.0,2012-03-20,2012-03-20 12:31:38,0,3,6c4fd1ea1890d35005de495d0b1c3d4e.jpg,5.6,800,400,12:31:38
+1.0,2012-03-08,2012-03-08 10:46:20,0,3,c1b5dae643ba283f4f0ac61c197c13d7.jpg,5.6,800,400,10:46:20
+1.0,2013-02-13,2013-02-13 12:56:46,1,1,38e2bebf46a3ec2126f58044ed9d5bc5.jpg,5.6,800,100,12:56:46
+1.0,2013-02-20,2013-02-20 12:26:01,1,1,1e01bcaa43318ec73fa27651ca8b7a58.jpg,5.6,800,100,12:26:01
+1.0,2012-04-03,2012-04-03 11:13:05,0,3,6d6b0c7bb5fde27d5adc03b9b06088a6.jpg,5.6,800,400,11:13:05
+1.0,2012-03-20,2012-03-20 12:34:34,0,3,8658c61249579c7560e5dd85cebfac38.jpg,5.6,800,400,12:34:34
+1.0,2012-03-22,2012-03-22 11:04:01,0,3,320a1aabd0d05ee0c8e8965bf6150cbd.jpg,5.6,800,400,11:04:01
+1.0,2012-03-22,2012-03-22 13:58:36,0,3,8875d788397d61f27fb67585e5e1fdd7.jpg,5.6,800,400,13:58:36
+1.0,2013-02-13,2013-02-13 12:14:40,1,1,57bab9d88ab5bd2452a7f4dcc4a15a41.jpg,5.6,800,100,12:14:40
+1.0,2012-03-20,2012-03-20 13:58:03,0,3,b3b742e6d2d9b3459f14ba05ec17a640.jpg,5.6,800,400,13:58:03
+1.0,2013-01-29,2013-01-29 12:10:55,1,1,1b369320cd07471367cafe506ab8b9ab.jpg,5.6,800,100,12:10:55
+1.0,2013-02-26,2013-02-26 12:31:43,1,1,d86fd4de06d52436122baf0de35f8d2e.jpg,5.6,800,200,12:31:43
+1.0,2013-02-26,2013-02-26 12:05:19,1,1,98418cc64aaad91728c0ad4806c39303.jpg,5.6,800,160,12:05:19
+1.0,2013-01-29,2013-01-29 16:24:41,1,1,24845f0b8dfb2019ae75f1a92fc0eb68.jpg,5.6,800,250,16:24:41
+1.0,2013-01-29,2013-01-29 16:23:57,1,1,169dca78c01148734abc1dfff10ea9f8.jpg,5.6,800,640,16:23:57
+1.0,2012-04-03,2012-04-03 09:44:03,0,3,98a153e67b68d7f006a0b981c4f3052e.jpg,5.6,800,400,09:44:03
+1.0,2013-01-29,2013-01-29 12:14:26,1,1,e3ed93ca26bdd0794784859e98154af7.jpg,5.6,800,100,12:14:26
+1.0,2012-04-03,2012-04-03 09:40:49,0,3,f6999b4b19defd7114b579819141c4be.jpg,5.6,800,400,09:40:49
+1.0,2012-03-13,2012-03-13 11:09:04,0,3,63a9fe4ed5b705770b0a72d8051f0f57.jpg,5.6,800,400,11:09:04
+1.0,2013-01-29,2013-01-29 16:22:07,1,1,559dab953cdf5c419c7193b887c1f42c.jpg,5.6,800,640,16:22:07
+1.0,2013-02-26,2013-02-26 12:05:20,1,1,fc30a80fc46fee2a3083bf7baf9011b1.jpg,5.6,800,160,12:05:20
+1.0,2013-02-20,2013-02-20 12:10:50,1,1,3c33651a2d7702accd874694552ba904.jpg,5.6,800,160,12:10:50
+1.0,2013-02-20,2013-02-20 12:23:56,1,1,4d304ca1414251f934de042f23232ddb.jpg,5.6,800,100,12:23:56
+1.0,2012-03-20,2012-03-20 13:56:54,0,3,81643e3aaf5e7a24a5e9e7a605348dc2.jpg,5.6,800,400,13:56:54
+1.0,2012-04-03,2012-04-03 11:05:03,0,3,3ec3f70623c48a3fb8c4dbe133f858c2.jpg,5.6,800,400,11:05:03
+1.0,2012-03-20,2012-03-20 11:09:19,0,3,16ff34c4cecf2ecea7e33dab33921d3e.jpg,5.6,800,400,11:09:19
+1.0,2013-02-26,2013-02-26 12:26:03,1,1,f16b89c489a1b89982d3c1777bee8728.jpg,5.6,800,200,12:26:03
+1.0,2013-01-29,2013-01-29 12:07:36,1,1,f1baf88a5b06970e4691946afc67be6f.jpg,5.6,800,100,12:07:36
+1.0,2013-02-20,2013-02-20 12:03:43,1,1,d448cdf514d7cf405bc1f9e3fa35b6f6.jpg,5.6,800,200,12:03:43
+1.0,2013-02-13,2013-02-13 12:20:01,1,1,a28d828856f3f667e9e237f0649975bf.jpg,5.6,800,100,12:20:01
+1.0,2012-03-20,2012-03-20 12:30:45,0,3,c891830f2b3e44b1b62ce802297d2f99.jpg,5.6,800,400,12:30:45
+1.0,2012-03-06,2012-03-06 13:28:04,0,3,f074fc37d9eba15d2411c3ae187efbf9.jpg,5.6,800,400,13:28:04
+1.0,2012-03-20,2012-03-20 09:47:29,0,3,984e7b476cc0d3ed7e8eca81dcdeec04.jpg,5.6,800,400,09:47:29
+1.0,2013-02-26,2013-02-26 12:14:51,1,1,04faab8fc379fffea3f908f0572394a5.jpg,5.6,800,200,12:14:51
+1.0,2013-01-29,2013-01-29 12:16:56,1,1,c51432b90c3f75e1f82693883042e547.jpg,5.6,800,100,12:16:56
+1.0,2012-04-03,2012-04-03 11:06:06,0,3,188be57736b204adda0e0b27a633fecf.jpg,5.6,800,400,11:06:06
+1.0,2013-02-20,2013-02-20 12:08:43,1,1,2c7082e62cf800964954b077089dd1a3.jpg,5.6,800,200,12:08:43
+1.0,2012-03-20,2012-03-20 12:33:49,0,3,23eb407679f305f67302787e3c7a5552.jpg,5.6,800,400,12:33:49
+1.0,2013-01-29,2013-01-29 12:34:23,1,1,d2c1b8cee467760ac89aaa3a69de5b81.jpg,5.6,800,100,12:34:23
+1.0,2013-02-26,2013-02-26 12:25:31,1,1,00680fd4782b8f69c9b8e53dc9b56cd3.jpg,5.6,800,200,12:25:31
+1.0,2013-01-28,2013-01-28 12:42:15,1,1,374c63b96e683ad83541c0c344177c83.jpg,5.6,800,100,12:42:15
+1.0,2012-03-22,2012-03-22 11:04:51,0,3,53e5efb46b55d4e4989be137c14a4dbb.jpg,5.6,800,400,11:04:51
+1.0,2013-02-13,2013-02-13 13:25:09,1,1,90b06d3ee90ba8c54738244e98aa408b.jpg,5.6,800,100,13:25:09
+1.0,2013-02-13,2013-02-13 12:45:18,1,1,48cb26dab34ea805e1599f430ce5a693.jpg,5.6,800,100,12:45:18
+1.0,2012-03-20,2012-03-20 15:24:32,0,3,ce94b2d29a96bed83d076729e33e5f95.jpg,5.6,800,400,15:24:32
+1.0,2013-01-29,2013-01-29 16:27:40,1,1,c79b61f7905005dc47cedbe1933f8daa.jpg,5.6,800,320,16:27:40
+1.0,2013-01-28,2013-01-28 12:35:34,1,1,b1a0c391733422dff62ced071e2b1113.jpg,5.6,800,100,12:35:34
+1.0,2013-01-29,2013-01-29 12:20:02,1,1,d959e9fa254c3ffdb9f87405ff50a08a.jpg,5.6,800,100,12:20:02
+1.0,2012-03-06,2012-03-06 13:31:23,0,3,d5f7cbaa816b332acb695823667f5868.jpg,5.6,800,400,13:31:23
+1.0,2013-02-19,2013-02-19 16:29:09,1,1,e51ab1b162c18daef3679b915b7cbab2.jpg,5.6,800,320,16:29:09
+1.0,2013-01-29,2013-01-29 16:21:12,1,1,f3f248ecca99f613c18718315be2e192.jpg,5.6,800,200,16:21:12
+1.0,2013-02-26,2013-02-26 12:12:33,1,1,91bce74452bde3b9ec9d51a873366a15.jpg,5.6,800,160,12:12:33
+1.0,2013-02-20,2013-02-20 12:20:31,1,1,ca08e1b0322e757c0f78214fe86571d8.jpg,5.6,800,100,12:20:31
+1.0,2013-01-29,2013-01-29 16:25:44,1,1,1bda3e21eb9e7938c9641cb04b919091.jpg,5.6,800,400,16:25:44
+1.0,2013-01-28,2013-01-28 12:39:57,1,1,0d0e0300d5cd1824f9315087d82370f1.jpg,5.6,800,100,12:39:57
+1.0,2013-02-13,2013-02-13 12:32:50,1,1,7a66aaf83860b705548c30bf2b2ce471.jpg,5.6,800,100,12:32:50
+1.0,2012-03-20,2012-03-20 12:29:55,0,3,195a7528a980cb331aa3087e56f8fe5b.jpg,5.6,800,400,12:29:55
+1.0,2013-01-29,2013-01-29 12:15:49,1,1,b7ad7ad289b9c556f57311e64b4b9615.jpg,5.6,800,100,12:15:49
+1.0,2013-02-13,2013-02-13 13:30:20,1,1,ee6681d386054e4e3198612882e34885.jpg,5.6,800,100,13:30:20
+1.0,2013-02-13,2013-02-13 13:15:31,1,1,bb3de84fa3c22963c644449f2d447341.jpg,5.6,800,100,13:15:31
+1.0,2012-03-20,2012-03-20 12:34:00,0,3,7d981c261334d85dcb6744eb75ac40e3.jpg,5.6,800,400,12:34:00
+1.0,2012-03-20,2012-03-20 12:35:18,0,3,551009ad69a60d29c3c7444595f739ce.jpg,5.6,800,400,12:35:18
+1.0,2013-01-28,2013-01-28 12:34:11,1,1,13705e0467756734e0899ee19299ddf8.jpg,5.6,800,100,12:34:11
+1.0,2013-02-13,2013-02-13 12:18:01,1,1,9ac62f282c2c983b1b7b85e13debe97c.jpg,5.6,800,100,12:18:01
+1.0,2013-01-28,2013-01-28 12:34:17,1,1,c86c3bcfebefc049cf9359f3d340633d.jpg,5.6,800,100,12:34:17
+1.0,2013-01-29,2013-01-29 12:07:34,1,1,fa43e83c68e0c3caf385449302976d14.jpg,5.6,800,100,12:07:34
+1.0,2012-04-03,2012-04-03 09:44:51,0,3,bba83f6fc12d6081088788bc5f675ef4.jpg,5.6,800,400,09:44:51
+1.0,2013-02-26,2013-02-26 12:12:44,1,1,de2ac58e8eb894a79c23c8fe8d89d10d.jpg,5.6,800,160,12:12:44
+1.0,2013-02-13,2013-02-13 13:30:25,1,1,48ddbcfee85d81dbf55297f068183d1c.jpg,5.6,800,100,13:30:25
+1.0,2012-03-20,2012-03-20 11:09:29,0,3,cb00f87e9a95f649e873915f7a7e8efb.jpg,5.6,800,400,11:09:29
+1.0,2012-04-03,2012-04-03 11:07:56,0,3,59fee669625005bde7751cd4de7095a7.jpg,5.6,800,400,11:07:56
+1.0,2013-01-29,2013-01-29 16:32:15,1,1,1e7ea441b294ceb01cc965cba3312245.jpg,5.6,800,800,16:32:15
+1.0,2012-03-22,2012-03-22 11:06:37,0,3,3183815c87c282d3eeb6765dec9f0ae4.jpg,5.6,800,400,11:06:37
+1.0,2013-01-29,2013-01-29 12:10:35,1,1,5808d3e6b65685ef752243f6f8c9bcc6.jpg,5.6,800,100,12:10:35
+1.0,2013-02-13,2013-02-13 13:23:39,1,1,7ac5e67b61cae841da56b5ddef99a4d0.jpg,5.6,800,100,13:23:39
+1.0,2013-02-13,2013-02-13 12:20:55,1,1,3d9aa0aa0356f7a172e165a4c9b03922.jpg,5.6,800,100,12:20:55
+1.0,2013-02-19,2013-02-19 16:26:50,1,1,e8869f6d9d45af0b0496e94f95247e0c.jpg,5.6,800,320,16:26:50
+1.0,2013-02-26,2013-02-26 12:10:31,1,1,7121a246e77e6e5aab7164aa601e1dc5.jpg,5.6,800,200,12:10:31
+1.0,2013-01-29,2013-01-29 12:16:18,1,1,3fc2fd2a612e7b9eff444ed613092dbb.jpg,5.6,800,100,12:16:18
+1.0,2013-01-29,2013-01-29 12:09:02,1,1,025c54bd2420de2f4b9b310b8cb52203.jpg,5.6,800,100,12:09:02
+1.0,2012-04-03,2012-04-03 09:41:02,0,3,9faf0ef0d0924611ec135b6b4cec7c1f.jpg,5.6,800,400,09:41:02
+1.0,2012-03-08,2012-03-08 14:58:06,0,3,f24039c78edb18291d20aa9756cdcf91.jpg,5.6,800,400,14:58:06
+1.0,2013-02-19,2013-02-19 16:16:47,1,1,98c679399d632bfcbdd010c33b8a8c9d.jpg,5.6,800,320,16:16:47
+1.0,2013-01-29,2013-01-29 16:22:34,1,1,4ae2b22e36b48a6ffc4f8f9738d2caee.jpg,5.6,800,320,16:22:34
+1.0,2012-04-03,2012-04-03 11:05:11,0,3,efe1bb79220137a2e30476559608993a.jpg,5.6,800,400,11:05:11
+1.0,2012-03-20,2012-03-20 15:25:08,0,3,0f4c963c4a9e719969d77996ada49252.jpg,5.6,800,400,15:25:08
+1.0,2013-01-28,2013-01-28 12:38:22,1,1,33122758ac5282bfd5c1bb497fc87f3c.jpg,5.6,800,100,12:38:22
+1.0,2012-04-03,2012-04-03 09:35:13,0,3,acbae682cbda923466b4563f294bcfb2.jpg,5.6,800,400,09:35:13
+1.0,2012-03-20,2012-03-20 12:34:50,0,3,919800bb1a2860b41d0df6f49062c2e3.jpg,5.6,800,400,12:34:50
+1.0,2013-02-26,2013-02-26 12:05:07,1,1,e5cc885dff889c22f6d1410c469e4504.jpg,5.6,800,160,12:05:07
+1.0,2012-04-03,2012-04-03 12:32:44,0,3,61eccf9ada3a30aa56d86522a34eb5e2.jpg,5.6,800,400,12:32:44
+1.0,2012-04-03,2012-04-03 11:13:16,0,3,ded27613bc7a6805121c8fc04b55795c.jpg,5.6,800,400,11:13:16
+1.0,2012-04-03,2012-04-03 11:07:51,0,3,1226360dc6709d79d3172959acf6aa7c.jpg,5.6,800,400,11:07:51
+1.0,2012-03-20,2012-03-20 09:45:28,0,3,c073d4ff1dec931ba944274d9618f428.jpg,5.6,800,400,09:45:28
+1.0,2012-04-03,2012-04-03 11:05:03,0,3,4938005b385726542a893a1e108886d5.jpg,5.6,800,400,11:05:03
+1.0,2013-01-28,2013-01-28 12:41:48,1,1,4b4a120b7f87c87ce5a55fca24c17537.jpg,5.6,800,100,12:41:48
+1.0,2012-03-20,2012-03-20 15:24:19,0,3,904db40301b1faaa881849ec01acb04d.jpg,5.6,800,400,15:24:19
+1.0,2013-01-28,2013-01-28 12:38:58,1,1,fe58a53d6f24c079dccc7893c25bdcab.jpg,5.6,800,100,12:38:58
+1.0,2012-03-20,2012-03-20 12:28:35,0,3,93337e878e69648f5b7a05315ce44a59.jpg,5.6,800,400,12:28:35
+1.0,2012-04-03,2012-04-03 11:12:35,0,3,b710ac76d702933d569b125fc6aefe89.jpg,5.6,800,400,11:12:35
+1.0,2012-03-20,2012-03-20 12:31:37,0,3,95e273932ac009108173905ef3b062e1.jpg,5.6,800,400,12:31:37
+1.0,2012-04-03,2012-04-03 09:43:58,0,3,a0cd9439680874f27e7a368966e4e32b.jpg,5.6,800,400,09:43:58
+1.0,2012-03-20,2012-03-20 11:06:31,0,3,41cd72ac602b759d9a45b7800f028b76.jpg,5.6,800,400,11:06:31
+1.0,2013-01-29,2013-01-29 16:28:09,1,1,e93e09c798ffe373ff498ce87e001e53.jpg,5.6,800,320,16:28:09
+1.0,2013-02-20,2013-02-20 12:08:21,1,1,32ab9796567da89aa2dff12f37ac7a2d.jpg,5.6,800,250,12:08:21
+1.0,2012-03-20,2012-03-20 12:32:22,0,3,4d48399ea946591ee1d4be868ed4933a.jpg,5.6,800,400,12:32:22
+1.0,2013-02-26,2013-02-26 12:44:13,1,1,cc91fb71977c4f45694fe48ad0b2a54b.jpg,5.6,800,200,12:44:13
+1.0,2012-04-03,2012-04-03 12:35:38,0,3,f69fe1f35c587c2619511735f28dbf03.jpg,5.6,800,400,12:35:38
+1.0,2012-03-20,2012-03-20 11:04:21,0,3,4e224c463cd3ce58e7343bd85b87fe10.jpg,5.6,800,400,11:04:21
+1.0,2013-01-28,2013-01-28 12:33:30,1,1,359cd6cc6a0f9f3ce5b880a7513f894d.jpg,5.6,800,100,12:33:30
+1.0,2013-02-13,2013-02-13 12:23:54,1,1,c2261c01d33abdc561d770fce6de615f.jpg,5.6,800,100,12:23:54
+1.0,2012-04-03,2012-04-03 11:08:07,0,3,2dceb7a152741df4ef87c398208b351f.jpg,5.6,800,400,11:08:07
+1.0,2012-03-08,2012-03-08 12:10:22,0,3,3b1e545202511ffe07338a6f6d8376a2.jpg,5.6,800,400,12:10:22
+1.0,2012-03-20,2012-03-20 13:58:45,0,3,4db7fd38a6ca383cbe20fc2ecf1c6607.jpg,5.6,800,400,13:58:45
+1.0,2012-03-20,2012-03-20 09:40:38,0,3,fdc70295f63a14e875a762de494ff746.jpg,5.6,800,400,09:40:38
+1.0,2012-04-03,2012-04-03 12:33:49,0,3,ec847b8efac32747ce35fbc0494f86e4.jpg,5.6,800,400,12:33:49
+1.0,2012-03-08,2012-03-08 10:48:20,0,3,0452de6a75c8ed6f99eff8c7e8c31ebb.jpg,5.6,800,400,10:48:20
+1.0,2013-02-26,2013-02-26 12:15:21,1,1,7c7fa7c48cc4092709ba0cf5b2dc1c90.jpg,5.6,800,200,12:15:21
+1.0,2013-01-29,2013-01-29 16:24:52,1,1,41449886767d584ddfa4c36dca497c27.jpg,5.6,800,400,16:24:52
+1.0,2012-04-03,2012-04-03 11:06:27,0,3,c2f35337e8bc1b139ec48bc1b9ac6eb1.jpg,5.6,800,400,11:06:27
+1.0,2012-03-08,2012-03-08 10:43:53,0,3,45e74b607eebc858b324a3903dff585b.jpg,5.6,800,400,10:43:53
+1.0,2012-03-20,2012-03-20 09:45:02,0,3,30245fb913c5256476d19ba257d76720.jpg,5.6,800,400,09:45:02
+1.0,2012-03-08,2012-03-08 14:56:49,0,3,bb978062059e7f868cb9d9ddb4548e32.jpg,5.6,800,400,14:56:49
+1.0,2012-03-20,2012-03-20 12:30:31,0,3,df53ec29741d3cb75be70b218b972c37.jpg,5.6,800,400,12:30:31
+1.0,2012-04-03,2012-04-03 09:34:59,0,3,7b641f0663c69a580b8b8f9cddefd46e.jpg,5.6,800,400,09:34:59
+1.0,2012-03-20,2012-03-20 11:05:50,0,3,a652aa6c6a58154929aeed0fd8140f5b.jpg,5.6,800,400,11:05:50
+1.0,2013-02-19,2013-02-19 16:22:07,1,1,30238037974d93f705bdc14e69b5a475.jpg,5.6,800,320,16:22:07
+1.0,2013-01-29,2013-01-29 16:22:13,1,1,aa7888dbf61b6e85b71d5e7b74462420.jpg,5.6,800,250,16:22:13
+1.0,2012-03-20,2012-03-20 15:24:28,0,3,661c93ec73fcd273eaf46ed77930d003.jpg,5.6,800,400,15:24:28
+1.0,2013-02-19,2013-02-19 16:16:53,1,1,bab4cd636deb5df9c11d8850a774d996.jpg,5.6,800,320,16:16:53
+1.0,2012-03-20,2012-03-20 11:07:54,0,3,2b746f3f44d79fe8d3a4d8862fbce0ef.jpg,5.6,800,400,11:07:54
+1.0,2012-03-06,2012-03-06 13:28:02,0,3,61df9c39d7b2395e8f9b46971623135c.jpg,5.6,800,400,13:28:02
+1.0,2013-01-29,2013-01-29 16:25:19,1,1,2277ac72ec81ee5fa6cd269cfddcb903.jpg,5.6,800,250,16:25:19
+1.0,2012-03-22,2012-03-22 11:11:30,0,3,4a4371b9b1f75de8defb838a0dd28377.jpg,5.6,800,400,11:11:30
+1.0,2012-03-22,2012-03-22 11:04:48,0,3,f8c7edab232a9af8e062ea1bcfc955d7.jpg,5.6,800,400,11:04:48
+1.0,2012-03-20,2012-03-20 12:29:55,0,3,307cfc4c6e3dab205e4a324066fc6054.jpg,5.6,800,400,12:29:55
+1.0,2012-03-20,2012-03-20 11:04:32,0,3,79b598738076bc9a5ff05c16cb56295a.jpg,5.6,800,400,11:04:32
+1.0,2013-01-29,2013-01-29 16:24:57,1,1,ce4a6e427226bf4f663c5912c0218ab7.jpg,5.6,800,250,16:24:57
+1.0,2013-01-28,2013-01-28 12:34:15,1,1,d7a9d67ea3089a1419d92a5dbc495627.jpg,5.6,800,100,12:34:15
+1.0,2013-01-29,2013-01-29 16:29:54,1,1,55aa1b71bba8f5f570472cd2b995a82d.jpg,5.6,800,400,16:29:54
+1.0,2013-02-19,2013-02-19 16:14:33,1,1,3644ad98221625f301beb0283cd0b217.jpg,5.6,800,320,16:14:33
+1.0,2012-03-20,2012-03-20 09:42:25,0,3,cca7f4d245f4c716f1be7bd85f20be60.jpg,5.6,800,400,09:42:25
+1.0,2013-01-28,2013-01-28 12:37:20,1,1,e32e5f7c1f862e5194a111c568d974b4.jpg,5.6,800,100,12:37:20
+1.0,2013-02-13,2013-02-13 13:06:37,1,1,1eaef20f50745638d64b98dcf0f66570.jpg,5.6,800,100,13:06:37
+1.0,2012-04-03,2012-04-03 12:34:15,0,3,3dfa00d0a9066cab5cf3a09a4dea7234.jpg,5.6,800,400,12:34:15
+1.0,2012-04-03,2012-04-03 09:44:36,0,3,8e10c51cb26947ce02cdb585efffc826.jpg,5.6,800,400,09:44:36
+1.0,2012-03-22,2012-03-22 11:04:01,0,3,66840c4af0ca511857d0986fadfa56b4.jpg,5.6,800,400,11:04:01
+1.0,2012-04-03,2012-04-03 11:04:07,0,3,94eb7dc20c184a4bb7acf6b993aa7b10.jpg,5.6,800,400,11:04:07
+1.0,2013-02-13,2013-02-13 12:07:56,1,1,ac1612aaac463727955920bb1ddb24af.jpg,5.6,800,100,12:07:56
+1.0,2012-03-20,2012-03-20 09:46:50,0,3,b43441e243667e9e3189b825ee88ea91.jpg,5.6,800,400,09:46:50
+1.0,2013-01-29,2013-01-29 16:24:39,1,1,d238c43264cde1c41ec985ffab6e6fdc.jpg,5.6,800,400,16:24:39
+1.0,2013-02-13,2013-02-13 13:13:06,1,1,aa6b9f248c49570d9da7933415fb44ac.jpg,5.6,800,100,13:13:06
+1.0,2013-01-29,2013-01-29 16:27:35,1,1,d6663131221b40910291349296acd469.jpg,5.6,800,320,16:27:35
+1.0,2013-02-19,2013-02-19 16:24:52,1,1,e873fec2261aa53de092b9f026109577.jpg,5.6,800,400,16:24:52
+1.0,2012-03-08,2012-03-08 10:46:20,0,3,d5b7882c8a220f80d7e9688031f4edda.jpg,5.6,800,400,10:46:20
+1.0,2013-02-19,2013-02-19 16:16:14,1,1,4aa82e9b4f16cb1e7627da124d259bfa.jpg,5.6,800,320,16:16:14
+1.0,2013-01-29,2013-01-29 12:09:48,1,1,43e29f26ee122435ffeff30f6c4d4ea7.jpg,5.6,800,100,12:09:48
+1.0,2013-01-29,2013-01-29 16:25:36,1,1,d4a45eb888d3e27960ea0c8fc26c7347.jpg,5.6,800,320,16:25:36
+1.0,2013-01-29,2013-01-29 16:23:06,1,1,aef75ae9bddd6afcdae65eed0c91052b.jpg,5.6,800,400,16:23:06
+1.0,2013-01-29,2013-01-29 16:33:02,1,1,fbedb4831bfcd998e5a8223b10aa36b9.jpg,5.6,800,400,16:33:02
+1.0,2012-03-08,2012-03-08 10:43:48,0,3,97c1f66f663625d02df08cd55e2db092.jpg,5.6,800,400,10:43:48
+1.0,2013-01-28,2013-01-28 12:40:05,1,1,5ae6e149e84618d68678673103512947.jpg,5.6,800,100,12:40:05
+1.0,2013-02-19,2013-02-19 16:14:22,1,1,7e9369fa5a3c9666f40421862bea3e92.jpg,5.6,800,250,16:14:22
+1.0,2012-03-20,2012-03-20 15:24:00,0,3,7999237a12fd13b87b04d0938367b278.jpg,5.6,800,400,15:24:00
+1.0,2012-03-20,2012-03-20 11:09:32,0,3,9005336d55051930d8d71b548756310c.jpg,5.6,800,400,11:09:32
+1.0,2013-02-26,2013-02-26 12:14:25,1,1,83fdca67481280c7d213811c6bc206e9.jpg,5.6,800,200,12:14:25
+1.0,2013-01-29,2013-01-29 16:33:00,1,1,1117f2451770641d1bef680c0c8af6a3.jpg,5.6,800,320,16:33:00
+1.0,2012-04-03,2012-04-03 12:34:39,0,3,577237b3d33b47d4cbd33af72e42e4a1.jpg,5.6,800,400,12:34:39
+1.0,2013-02-20,2013-02-20 12:39:54,1,1,d6e5bed1205b6b5032b12434d42c5d1e.jpg,5.6,800,100,12:39:54
+1.0,2013-02-26,2013-02-26 12:08:27,1,1,cf21cf6f077500acf8ce4f841a0d3648.jpg,5.6,800,200,12:08:27
+1.0,2012-03-20,2012-03-20 13:57:49,0,3,2db671070940b299810328bcea31a37b.jpg,5.6,800,400,13:57:49
+1.0,2012-04-12,2012-04-12 14:01:20,0,3,ad4e6ec1469d7028da18fa74582ffd0d.jpg,5.6,800,400,14:01:20
+1.0,2013-02-13,2013-02-13 13:20:56,1,1,3adae16113e5c6365dd1dde26d323308.jpg,5.6,800,100,13:20:56
+1.0,2013-02-13,2013-02-13 12:06:34,1,1,9343405619545c15a23f8c2de2afe0ad.jpg,5.6,800,100,12:06:34
+1.0,2013-01-28,2013-01-28 12:42:45,1,1,788e26f06e5fb811e2e496757115f819.jpg,5.6,800,100,12:42:45
+1.0,2012-04-03,2012-04-03 09:35:04,0,3,86da9c7580d7fd11ac941b1778d69b68.jpg,5.6,800,400,09:35:04
+1.0,2012-04-03,2012-04-03 11:08:15,0,3,84eb1bc763eb1cf554818ada17e185ed.jpg,5.6,800,400,11:08:15
+1.0,2012-03-20,2012-03-20 15:24:03,0,3,58c4d9845db682ebe48427463bc07447.jpg,5.6,800,400,15:24:03
+1.0,2013-01-29,2013-01-29 12:33:34,1,1,d94443cd5d16f814ceb3769ee687b77f.jpg,5.6,800,100,12:33:34
+1.0,2013-01-28,2013-01-28 12:38:13,1,1,514d6cddc6debc866c90fd163f5832f1.jpg,5.6,800,100,12:38:13
+1.0,2012-03-20,2012-03-20 13:56:42,0,3,3237057af9334fb1df308edf3c9ceb6f.jpg,5.6,800,400,13:56:42
+1.0,2013-02-13,2013-02-13 13:13:19,1,1,2ef38ce55b2473eac79bd33eddff9b24.jpg,5.6,800,100,13:13:19
+1.0,2013-02-19,2013-02-19 16:21:34,1,1,ce92cae9c00f1e3ee5005113c1e2cc66.jpg,5.6,800,320,16:21:34
+1.0,2013-02-26,2013-02-26 12:18:16,1,1,3a13bc52a33ce8e9c6b08d2325258c12.jpg,5.6,800,200,12:18:16
+1.0,2013-02-19,2013-02-19 16:32:25,1,1,d2e08ed3869cd5d2f2836e2ec0b9b2f1.jpg,5.6,800,320,16:32:25
+1.0,2013-02-26,2013-02-26 12:31:42,1,1,d661db0ac55353b11138f58a812238fa.jpg,5.6,800,200,12:31:42
+1.0,2012-04-03,2012-04-03 11:08:37,0,3,d0a9c499ff0f8a5f1111bd0aa55be000.jpg,5.6,800,400,11:08:37
+1.0,2013-01-29,2013-01-29 12:16:20,1,1,484b275d9f0c6ec9c505afa428bdd5e3.jpg,5.6,800,100,12:16:20
+1.0,2013-01-29,2013-01-29 16:30:32,1,1,fef52180dad1c84694c707d560497784.jpg,5.6,800,400,16:30:32
+1.0,2013-02-26,2013-02-26 12:07:53,1,1,cf22403d8408fd25606926f16cd0c186.jpg,5.6,800,200,12:07:53
+1.0,2012-03-20,2012-03-20 13:58:55,0,3,22706a77ac31c0c490c7626cb9ef506c.jpg,5.6,800,400,13:58:55
+1.0,2013-01-29,2013-01-29 16:28:51,1,1,6cc18a35ba0fae48c89a59de722242e2.jpg,5.6,800,250,16:28:51
+1.0,2013-01-29,2013-01-29 16:31:40,1,1,cbe0a5302cf827d44df98fdb9e579773.jpg,5.6,800,640,16:31:40
+1.0,2012-03-20,2012-03-20 11:06:33,0,3,6969391853055d584564913b63056cf2.jpg,5.6,800,400,11:06:33
+1.0,2012-03-20,2012-03-20 09:40:29,0,3,13e43f6f7018933588eb42f82922f54d.jpg,5.6,800,400,09:40:29
+1.0,2012-03-08,2012-03-08 12:10:19,0,3,7984a305d7b7936fc993520b46123d15.jpg,5.6,800,400,12:10:19
+1.0,2012-04-03,2012-04-03 11:05:48,0,3,02c90726bfd59b92690cb173b9796203.jpg,5.6,800,400,11:05:48
+1.0,2012-04-03,2012-04-03 11:10:49,0,3,97586132ffd675fa426f4a81a2e5e1bd.jpg,5.6,800,400,11:10:49
+1.0,2013-02-13,2013-02-13 13:27:37,1,1,41dd6cce0e66d8255c8fe85fc29a804d.jpg,5.6,800,100,13:27:37
+1.0,2013-02-13,2013-02-13 13:06:47,1,1,e6fba38c2d12ebd82f73bc98e6cafed5.jpg,5.6,800,100,13:06:47
+1.0,2012-03-08,2012-03-08 14:57:21,0,3,c0a1514724066c31d696fd123f03c01d.jpg,5.6,800,400,14:57:21
+1.0,2012-04-26,2012-04-26 12:36:21,0,3,2942e0a7fd115f75dc57be083084c802.jpg,5.6,800,400,12:36:21
+1.0,2013-02-19,2013-02-19 16:33:59,1,1,1c51e7fc666c2012327f948fb2e9f06d.jpg,5.6,800,320,16:33:59
+1.0,2012-03-22,2012-03-22 11:07:50,0,3,9aad928ff378dc70f567ba6a46774531.jpg,5.6,800,400,11:07:50
+1.0,2012-03-20,2012-03-20 11:04:22,0,3,687837b2cc99a1858a7b5b6a7d17263d.jpg,5.6,800,400,11:04:22
+1.0,2013-01-28,2013-01-28 12:33:36,1,1,34712358dc358953f24077c58e1582c6.jpg,5.6,800,100,12:33:36
+1.0,2013-02-20,2013-02-20 12:25:51,1,1,272698708b0c4b989cc9ac215332f746.jpg,5.6,800,100,12:25:51
+1.0,2012-04-03,2012-04-03 09:35:50,0,3,a461cca3539d1bf34f028686a8a26634.jpg,5.6,800,400,09:35:50
+1.0,2013-01-28,2013-01-28 12:42:22,1,1,12a812a6a11a2c3a346017c087929685.jpg,5.6,800,100,12:42:22
+1.0,2012-03-08,2012-03-08 10:46:58,0,3,5b1e50f8aee02ece99d15faf1914c309.jpg,5.6,800,400,10:46:58
+1.0,2012-03-20,2012-03-20 15:23:06,0,3,fdf36b63b615acbdd4884840fa795db9.jpg,5.6,800,400,15:23:06
+1.0,2013-01-29,2013-01-29 12:15:42,1,1,842b26fd750ef37c88044853e876b854.jpg,5.6,800,100,12:15:42
+1.0,2012-03-20,2012-03-20 15:24:10,0,3,8a6d7d03da768c17356f5acd48299470.jpg,5.6,800,400,15:24:10
+1.0,2012-03-08,2012-03-08 12:10:21,0,3,102e7513ffccedfc8925085d29a6bdd1.jpg,5.6,800,400,12:10:21
+1.0,2012-04-03,2012-04-03 09:36:37,0,3,b64df366a5f14cf48ffd7d262159d3d5.jpg,5.6,800,400,09:36:37
+1.0,2012-04-03,2012-04-03 11:09:29,0,3,dd304d84bd4f1324d83187ffafc280a9.jpg,5.6,800,400,11:09:29
+1.0,2013-01-29,2013-01-29 16:30:05,1,1,b01de7eda2c73e3fa40e597ddaa98a51.jpg,5.6,800,400,16:30:05
+1.0,2012-04-03,2012-04-03 09:44:38,0,3,8a43bbfce679572706b0028244405871.jpg,5.6,800,400,09:44:38
+1.0,2013-02-20,2013-02-20 12:02:53,1,1,8e1aa3cb8c39959329ca185c68a6ec04.jpg,5.6,800,160,12:02:53
+1.0,2013-01-29,2013-01-29 12:19:59,1,1,32ae32e95d622e6dd3cc6c5c7fc54b70.jpg,5.6,800,100,12:19:59
+1.0,2013-01-28,2013-01-28 12:42:13,1,1,67cfde975179258ebc76283e61454ce7.jpg,5.6,800,100,12:42:13
+1.0,2013-01-28,2013-01-28 12:41:55,1,1,fe15a1e5b5337724cd688bdce2de063d.jpg,5.6,800,100,12:41:55
+1.0,2012-03-20,2012-03-20 09:42:07,0,3,c33c46bd26a7f154fea29f3dfa338976.jpg,5.6,800,400,09:42:07
+1.0,2012-04-03,2012-04-03 09:38:02,0,3,21fa4b80b7a5214ab5c23bb5dc0562de.jpg,5.6,800,400,09:38:02
+1.0,2012-03-20,2012-03-20 13:57:33,0,3,fc35ad84014d56c99afc4ae0009fd7c0.jpg,5.6,800,400,13:57:33
+1.0,2012-03-20,2012-03-20 13:56:08,0,3,0a3d4b35b12c2f37725860819bc9015b.jpg,5.6,800,400,13:56:08
+1.0,2012-03-06,2012-03-06 13:28:14,0,3,ca8fe45fc6648f5d0ff71b595335792f.jpg,5.6,800,400,13:28:14
+1.0,2012-04-03,2012-04-03 11:08:43,0,3,1c5ada8f977b206a51a9855bfa0e1299.jpg,5.6,800,400,11:08:43
+1.0,2013-01-28,2013-01-28 12:33:38,1,1,4cb061f4d328a848dd281771dadd2982.jpg,5.6,800,100,12:33:38
+1.0,2013-01-29,2013-01-29 12:27:27,1,1,b3ccf0735ed9af8babd0052690bc248b.jpg,5.6,800,100,12:27:27
+1.0,2013-01-29,2013-01-29 12:33:44,1,1,732d04a15790e874ad5ec3d634c10694.jpg,5.6,800,100,12:33:44
+1.0,2012-03-08,2012-03-08 12:11:16,0,3,5260f26b48d4a85de93c112031fff67b.jpg,5.6,800,400,12:11:16
+1.0,2013-02-20,2013-02-20 12:02:24,1,1,c9d23d1a9cfed601778fb52171b5855e.jpg,5.6,800,160,12:02:24
+1.0,2012-03-20,2012-03-20 11:08:38,0,3,18b1c2864b60232f4e184b151355d5d2.jpg,5.6,800,400,11:08:38
+1.0,2012-03-20,2012-03-20 09:44:57,0,3,2e0afd373274d6e0c1dfa6061fe213b8.jpg,5.6,800,400,09:44:57
+1.0,2013-02-20,2013-02-20 12:39:30,1,1,ef533a07fcf0cc27723083c1fdf7115d.jpg,5.6,800,100,12:39:30
+1.0,2012-03-13,2012-03-13 11:11:21,0,3,474f52c732960784b0b30b1992f0381a.jpg,5.6,800,400,11:11:21
+1.0,2013-01-29,2013-01-29 16:24:46,1,1,ef08a83d5dd275d687b19ee65b326ec2.jpg,5.6,800,320,16:24:46
+1.0,2012-03-22,2012-03-22 11:04:53,0,3,661d998ab9aebd639611ced2856793c6.jpg,5.6,800,400,11:04:53
+1.0,2012-02-23,2012-02-23 14:56:07,0,3,7539e3bf8620c1871940cf266c212211.jpg,5.6,800,400,14:56:07
+1.0,2012-03-20,2012-03-20 12:28:36,0,3,1f4522830520574322463726be47d051.jpg,5.6,800,400,12:28:36
+1.0,2012-04-03,2012-04-03 11:05:30,0,3,dd9c904c383f76a81f948f84b65a08cc.jpg,5.6,800,400,11:05:30
+1.0,2012-03-20,2012-03-20 12:34:49,0,3,77423ae5ad0866c0f62583cc087a5e7b.jpg,5.6,800,400,12:34:49
+1.0,2012-04-03,2012-04-03 09:39:51,0,3,a5f6d205c2dcf739a76d776753d01bfe.jpg,5.6,800,400,09:39:51
+1.0,2013-01-29,2013-01-29 16:33:57,1,1,7651de04fc654a34d5df352233f65bdc.jpg,5.6,800,400,16:33:57
+1.0,2013-01-29,2013-01-29 16:24:27,1,1,c88ebfd56417c6ef8846abe84f9bfe41.jpg,5.6,800,320,16:24:27
+1.0,2013-01-29,2013-01-29 16:33:26,1,1,3d260b6b30f9be159c92075fe57254be.jpg,5.6,800,320,16:33:26
+1.0,2012-03-20,2012-03-20 09:46:27,0,3,04e08f6aaf82e8d667892b5d86aacc54.jpg,5.6,800,400,09:46:27
+1.0,2012-04-03,2012-04-03 11:09:28,0,3,a59b7ca37ac3a0efd115d083c5d6f9ca.jpg,5.6,800,400,11:09:28
+1.0,2012-03-22,2012-03-22 11:09:48,0,3,0b9b54f5006081005a5e18a5a86bb318.jpg,5.6,800,400,11:09:48
+1.0,2012-03-20,2012-03-20 15:22:19,0,3,1e6f54cec2674b98e9e7592365ae0db7.jpg,5.6,800,400,15:22:19
+1.0,2012-04-03,2012-04-03 09:41:28,0,3,69684dfb7111336f88059df9c91dd843.jpg,5.6,800,400,09:41:28
+1.0,2012-03-20,2012-03-20 12:29:56,0,3,843961e1839d769eefe41e3fcb3f0ac8.jpg,5.6,800,400,12:29:56
+1.0,2013-01-28,2013-01-28 12:37:51,1,1,4e9ed6c542594dcca178287ab2324021.jpg,5.6,800,100,12:37:51
+1.0,2012-04-03,2012-04-03 09:35:15,0,3,dbcdc9b198f5e365c953a1f053f67180.jpg,5.6,800,400,09:35:15
+1.0,2012-04-03,2012-04-03 11:13:01,0,3,6ad71191477a0aafad26f0a37a022df1.jpg,5.6,800,400,11:13:01
+1.0,2012-03-20,2012-03-20 11:08:26,0,3,e69362e8413d5bf2f966d747c2a825c1.jpg,5.6,800,400,11:08:26
+1.0,2013-01-28,2013-01-28 12:36:12,1,1,8865d1b3715d3b76f59961740e0ea33a.jpg,5.6,800,100,12:36:12
+1.0,2013-01-29,2013-01-29 16:32:46,1,1,1279ecbf9d5b5d917df3d21298d05dce.jpg,5.6,800,400,16:32:46
+1.0,2012-03-20,2012-03-20 13:57:00,0,3,3e4a77f6d39f59fc14978ef999a43db1.jpg,5.6,800,400,13:57:00
+1.0,2013-01-29,2013-01-29 12:11:41,1,1,fc17f92a9f3d1656b77c22adc5bac6c9.jpg,5.6,800,100,12:11:41
+1.0,2012-03-20,2012-03-20 09:47:06,0,3,226b5e9b389a84d49653d772c48b25c7.jpg,5.6,800,400,09:47:06
+1.0,2012-03-22,2012-03-22 11:08:23,0,3,28aed00157f96b22f0c59d13d903dde9.jpg,5.6,800,400,11:08:23
+1.0,2013-02-19,2013-02-19 16:25:32,1,1,e649505fa4b145e90f252dc68d2973dc.jpg,5.6,800,320,16:25:32
+1.0,2012-04-03,2012-04-03 11:08:33,0,3,e49f8fb682f68f1f0c06ce9f6c0ed16b.jpg,5.6,800,400,11:08:33
+1.0,2013-01-29,2013-01-29 16:21:23,1,1,d04eee428b8a134931d02ece251bccda.jpg,5.6,800,250,16:21:23
+1.0,2012-03-20,2012-03-20 09:45:31,0,3,d92a818aaa6cc4fcdb24e6ad3232d606.jpg,5.6,800,400,09:45:31
+1.0,2013-01-28,2013-01-28 12:40:24,1,1,fbccb587a181557afa0908f4e34329ec.jpg,5.6,800,100,12:40:24
+1.0,2013-02-13,2013-02-13 13:23:07,1,1,5d4f3238fabce85d290738cb81ea3b5a.jpg,5.6,800,100,13:23:07
+1.0,2012-03-20,2012-03-20 12:34:43,0,3,0e8a85b0c9f13fee3dc8cf74b499bb4a.jpg,5.6,800,400,12:34:43
+1.0,2013-01-28,2013-01-28 12:33:01,1,1,b769d6857e2ec6aee97ba08160f53a7a.jpg,5.6,800,100,12:33:01
+1.0,2012-03-20,2012-03-20 13:55:55,0,3,a0d326bc99f605fa54adc5c7014134bf.jpg,5.6,800,400,13:55:55
+1.0,2013-02-13,2013-02-13 13:20:42,1,1,09310a02f59ed8003a23d5c9a73d9781.jpg,5.6,800,100,13:20:42
+1.0,2012-04-03,2012-04-03 12:32:19,0,3,674b69d4f6aaf71a86d1e72499ed97f7.jpg,5.6,800,400,12:32:19
+1.0,2013-02-20,2013-02-20 12:24:43,1,1,65bea3490f8a185bb1d0187faa3c0663.jpg,5.6,800,100,12:24:43
+1.0,2013-01-29,2013-01-29 12:10:33,1,1,15fb5945972998a1bf628bc8176ab131.jpg,5.6,800,100,12:10:33
+1.0,2013-02-19,2013-02-19 16:18:38,1,1,70657378372f62cf9f4a6aeef66f82d3.jpg,5.6,800,320,16:18:38
+1.0,2013-01-29,2013-01-29 16:23:46,1,1,958246201649073361c59db3a3c84d6f.jpg,5.6,800,500,16:23:46
+1.0,2013-01-28,2013-01-28 12:41:34,1,1,346d6327be12aa1f065a65555cb959e8.jpg,5.6,800,100,12:41:34
+1.0,2013-02-19,2013-02-19 16:28:40,1,1,408867b11c9bded7ed40352f54799ee6.jpg,5.6,800,320,16:28:40
+1.0,2012-03-20,2012-03-20 12:30:36,0,3,7a16fb77aa26ec7c43508643f40d226a.jpg,5.6,800,400,12:30:36
+1.0,2012-03-08,2012-03-08 10:48:19,0,3,d51b4204703113bb4a91ec002cd10587.jpg,5.6,800,400,10:48:19
+1.0,2013-01-29,2013-01-29 12:33:27,1,1,a51f3183863a0350fa5279d8f48a8f83.jpg,5.6,800,100,12:33:27
+1.0,2012-03-08,2012-03-08 10:47:16,0,3,f737bbaf148113d04c9fb7892bcebbff.jpg,5.6,800,400,10:47:16
+1.0,2012-03-20,2012-03-20 12:29:12,0,3,a92e2c77094d63fc020a3fdb60a29da7.jpg,5.6,800,400,12:29:12
+1.0,2012-03-22,2012-03-22 13:57:55,0,3,17cf45ef6ac24613c267dd3fde8766ab.jpg,5.6,800,400,13:57:55
+1.0,2012-04-03,2012-04-03 09:35:52,0,3,d12493fe7ddacf00636d2d7bfcbd4040.jpg,5.6,800,400,09:35:52
+1.0,2012-03-08,2012-03-08 10:46:06,0,3,6944aa4d59148c1da26a2c04adc19400.jpg,5.6,800,400,10:46:06
+1.0,2012-03-20,2012-03-20 15:25:12,0,3,945af327d9d5e53d03ebcd6030785adc.jpg,5.6,800,400,15:25:12
+1.0,2013-01-28,2013-01-28 12:41:27,1,1,75f68393f0b23d7743b9646603866562.jpg,5.6,800,100,12:41:27
+1.0,2013-01-29,2013-01-29 12:19:56,1,1,600e7236806068d4423f4fed630f4c93.jpg,5.6,800,100,12:19:56
+1.0,2012-03-20,2012-03-20 13:58:43,0,3,3c1a0576dacca55df31b5a531090e040.jpg,5.6,800,400,13:58:43
+1.0,2012-04-03,2012-04-03 12:32:50,0,3,e28062146867c7d26ce80e9142d4a919.jpg,5.6,800,400,12:32:50
+1.0,2012-04-03,2012-04-03 09:44:31,0,3,aed2e2c8a74721e941bd7de78bb3b20c.jpg,5.6,800,400,09:44:31
+1.0,2012-02-23,2012-02-23 14:54:49,0,3,77ac35a46cfc30ef05ec35e4a310ebbb.jpg,5.6,800,400,14:54:49
+1.0,2012-04-03,2012-04-03 12:31:35,0,3,27e8f4322a2385b22c4ec90e3e9089b5.jpg,5.6,800,400,12:31:35
+1.0,2012-03-08,2012-03-08 10:47:33,0,3,30485abc4eb7595a815e8b68a502ad5b.jpg,5.6,800,400,10:47:33
+1.0,2012-04-03,2012-04-03 11:12:09,0,3,1e1ce8f65065f8c0ffc9341ba505374c.jpg,5.6,800,400,11:12:09
+1.0,2013-01-28,2013-01-28 12:42:26,1,1,197fe9b39eaecc49149f4a9722bdf1d5.jpg,5.6,800,100,12:42:26
+1.0,2012-03-22,2012-03-22 11:09:50,0,3,9cc7f82d0128c4d50e8a3fbe10cb6b0c.jpg,5.6,800,400,11:09:50
+1.0,2012-04-03,2012-04-03 09:37:05,0,3,e23c2863498df088425fbb18bb2b2c8a.jpg,5.6,800,400,09:37:05
+1.0,2013-02-20,2013-02-20 12:21:01,1,1,734f041c4e3bec27a00c1df651df8f72.jpg,5.6,800,100,12:21:01
+1.0,2012-03-13,2012-03-13 11:09:09,0,3,e5998cba422c07e93df9f9d628f10c6a.jpg,5.6,800,400,11:09:09
+1.0,2012-03-20,2012-03-20 15:24:03,0,3,49b3c3c9c04fa0cf05a22c2406f94552.jpg,5.6,800,400,15:24:03
+1.0,2013-01-29,2013-01-29 16:24:23,1,1,b570218824da8f010754ce55a120c260.jpg,5.6,800,320,16:24:23
+1.0,2013-02-26,2013-02-26 12:25:30,1,1,5871a6f071f68ceb3853741496ab1cb1.jpg,5.6,800,200,12:25:30
+1.0,2013-02-19,2013-02-19 16:18:09,1,1,89c0412a4193f661dfb0b78db3a7229b.jpg,5.6,800,320,16:18:09
+1.0,2013-02-20,2013-02-20 12:44:44,1,1,81005c688a913dbcb2ca6bb522c842be.jpg,5.6,800,100,12:44:44
+1.0,2012-03-20,2012-03-20 13:56:59,0,3,14b2165a70aed9fc9002ccf28e90f6cc.jpg,5.6,800,400,13:56:59
+1.0,2012-03-20,2012-03-20 11:04:13,0,3,f37fcd98e6d040c91bfe0cb2c11240de.jpg,5.6,800,400,11:04:13
+1.0,2013-02-20,2013-02-20 12:11:37,1,1,aafa84ee80555a2135a05e23779d9437.jpg,5.6,800,200,12:11:37
+1.0,2013-02-20,2013-02-20 12:07:14,1,1,190a96d6433038020db40a8f9d0b388a.jpg,5.6,800,250,12:07:14
+1.0,2012-03-06,2012-03-06 13:27:55,0,3,d446a3b7b27e069296be83fc3a4f3c9d.jpg,5.6,800,400,13:27:55
+1.0,2012-04-03,2012-04-03 12:35:52,0,3,ed41a0fe4978df058d819c191a79669b.jpg,5.6,800,400,12:35:52
+1.0,2013-02-13,2013-02-13 12:00:10,1,1,6c01fbe0d01990170dd78947203610b1.jpg,5.6,800,100,12:00:10
+1.0,2012-03-20,2012-03-20 13:55:54,0,3,abf94ef3e574b6bc3a7cc6899b856651.jpg,5.6,800,400,13:55:54
+1.0,2013-02-13,2013-02-13 13:15:48,1,1,253feb0fcb38f7cc42a741d625311976.jpg,5.6,800,100,13:15:48
+1.0,2012-03-20,2012-03-20 12:31:58,0,3,4d781a665df5d86f19ec84b31e76d4df.jpg,5.6,800,400,12:31:58
+1.0,2013-02-26,2013-02-26 12:06:46,1,1,93b58f3e801a4afae434891b8129c913.jpg,5.6,800,160,12:06:46
+1.0,2012-03-22,2012-03-22 11:06:40,0,3,4e1b31a185e9b03e85a85084de64679c.jpg,5.6,800,400,11:06:40
+1.0,2013-02-26,2013-02-26 12:12:24,1,1,147dad489381c912a429fd9a636d1b43.jpg,5.6,800,200,12:12:24
+1.0,2012-03-20,2012-03-20 12:32:04,0,3,6f5a6ac39b4d76f119651eae40c8defb.jpg,5.6,800,400,12:32:04
+1.0,2013-01-28,2013-01-28 12:33:33,1,1,02b77f26c04ff612181d12960ce2978b.jpg,5.6,800,100,12:33:33
+1.0,2012-04-03,2012-04-03 11:04:50,0,3,58114bd527e300c1f9ced707304f54a6.jpg,5.6,800,400,11:04:50
+1.0,2013-02-13,2013-02-13 12:56:44,1,1,99d950e468b58bf75abd93efd7820b96.jpg,5.6,800,100,12:56:44
+1.0,2013-02-13,2013-02-13 13:25:40,1,1,7535cae0903ce326c1908927edca1fce.jpg,5.6,800,100,13:25:40
+1.0,2013-02-20,2013-02-20 12:11:32,1,1,29ec59f234cd197e26e24466d1388412.jpg,5.6,800,160,12:11:32
+1.0,2013-02-26,2013-02-26 12:09:31,1,1,e1bcb9cdbba05f0ab6660a371f0c9259.jpg,5.6,800,200,12:09:31
+1.0,2012-03-08,2012-03-08 14:54:03,0,3,da076aee292c15f22d92fe82f89130ac.jpg,5.6,800,400,14:54:03
+1.0,2013-01-29,2013-01-29 12:08:58,1,1,2250b660b113bda83b01d94db592f293.jpg,5.6,800,100,12:08:58
+1.0,2012-03-20,2012-03-20 12:34:26,0,3,9b49d5232d570868ce825238419f191f.jpg,5.6,800,400,12:34:26
+1.0,2013-01-29,2013-01-29 12:10:04,1,1,6416bb3d4fc81b40789b730627249cb6.jpg,5.6,800,100,12:10:04
+1.0,2012-03-06,2012-03-06 13:28:07,0,3,c82d62a21705bbc8d9b228a465964573.jpg,5.6,800,400,13:28:07
+1.0,2013-02-26,2013-02-26 12:22:15,1,1,009c8ad5fe84916fe989fa48752f2bf2.jpg,5.6,800,200,12:22:15
+1.0,2012-04-03,2012-04-03 09:38:41,0,3,d70bcff10878243628f22e1790e2ee12.jpg,5.6,800,400,09:38:41
+1.0,2013-02-20,2013-02-20 12:12:50,1,1,0243b8db3ec9a5f4adbad81f093bd7d4.jpg,5.6,800,160,12:12:50
+1.0,2012-03-20,2012-03-20 09:43:39,0,3,2680e11a12b272902adfc1861b381255.jpg,5.6,800,400,09:43:39
+1.0,2013-01-29,2013-01-29 16:31:16,1,1,d09439819c7aa45b814e13aa85615b95.jpg,5.6,800,320,16:31:16
+1.0,2013-02-19,2013-02-19 16:34:01,1,1,2985f5b7937b8a77819526c43c6e2e42.jpg,5.6,800,320,16:34:01
+1.0,2012-02-23,2012-02-23 14:56:12,0,3,211a7a8c5783e9b83bc0535b546be512.jpg,5.6,800,400,14:56:12
+1.0,2013-02-13,2013-02-13 13:00:33,1,1,7f159af380b9b48a2b533325d53aedcc.jpg,5.6,800,100,13:00:33
+1.0,2013-02-19,2013-02-19 16:26:39,1,1,3d3607ffc87ccfdefdc0e78b4b56a8cc.jpg,5.6,800,400,16:26:39
+1.0,2012-03-06,2012-03-06 13:30:27,0,3,821324f6f6258c0419cbe0b7ff0e6f44.jpg,5.6,800,400,13:30:27
+1.0,2013-02-19,2013-02-19 16:25:01,1,1,2319693978fb617f3224c74cf7202aed.jpg,5.6,800,320,16:25:01
+1.0,2013-01-29,2013-01-29 12:16:27,1,1,0c9cba30dea71d752f5565190bda6859.jpg,5.6,800,100,12:16:27
+1.0,2012-03-20,2012-03-20 11:05:47,0,3,ebd5ba954f300c7d3eb478e23bfb9d82.jpg,5.6,800,400,11:05:47
+1.0,2013-02-26,2013-02-26 12:21:28,1,1,3e8882fc6d6aae0acc34f45c2357aef5.jpg,5.6,800,200,12:21:28
+1.0,2012-03-08,2012-03-08 12:13:16,0,3,bcfbe536ebc8ce0783e1a8c70f4b2c91.jpg,5.6,800,400,12:13:16
+1.0,2013-02-20,2013-02-20 12:05:11,1,1,ff99d68d2126985ab8b4d1d4c25be8d7.jpg,5.6,800,200,12:05:11
+1.0,2012-03-20,2012-03-20 15:22:29,0,3,48bed54f4a94f47ff6d677e80762f728.jpg,5.6,800,400,15:22:29
+1.0,2012-03-08,2012-03-08 14:54:38,0,3,3fc15beb91b9b983e350dcdd691393be.jpg,5.6,800,400,14:54:38
+1.0,2013-01-29,2013-01-29 16:25:16,1,1,710bc8d0f8e3bc4692f68094216a6ecd.jpg,5.6,800,250,16:25:16
+1.0,2013-02-26,2013-02-26 12:07:14,1,1,7445a49ae78d1c8e06882258a7133d1c.jpg,5.6,800,200,12:07:14
+1.0,2012-04-03,2012-04-03 09:41:16,0,3,6ea574137d452576d3bbf980daf19159.jpg,5.6,800,400,09:41:16
+1.0,2012-03-20,2012-03-20 09:41:30,0,3,d99670e9e8f1c4d1a6d5e3fe1b12020a.jpg,5.6,800,400,09:41:30
+1.0,2013-02-26,2013-02-26 12:14:23,1,1,7346b66a56b690e33875b4508c18a032.jpg,5.6,800,200,12:14:23
+1.0,2013-02-26,2013-02-26 12:04:28,1,1,d6e0b25f486740a453e55cc616824b1d.jpg,5.6,800,160,12:04:28
+1.0,2013-02-13,2013-02-13 13:15:17,1,1,c3d929ba957a3d2c914e6d68a7efd026.jpg,5.6,800,100,13:15:17
+1.0,2012-03-22,2012-03-22 14:00:50,0,3,07ba66e683659728c8e97cd6f6637748.jpg,5.6,800,400,14:00:50
+1.0,2013-01-28,2013-01-28 12:37:48,1,1,7a2af0626b53c8203613d50c1b365d1c.jpg,5.6,800,100,12:37:48
+1.0,2013-02-13,2013-02-13 13:28:56,1,1,15a6c29be1c41561097ac13a6d803958.jpg,5.6,800,100,13:28:56
+1.0,2013-01-29,2013-01-29 12:33:49,1,1,c3653896e0a6fd0a5ba4c6b1c7be4f6d.jpg,5.6,800,100,12:33:49
+1.0,2013-02-20,2013-02-20 12:22:17,1,1,333e25cc160228d0b3909b756baf3a22.jpg,5.6,800,100,12:22:17
+1.0,2013-02-13,2013-02-13 12:20:52,1,1,f0d33e19cfd90a16db97db5be8e1e74c.jpg,5.6,800,100,12:20:52
+1.0,2013-02-13,2013-02-13 12:29:04,1,1,8d6cf7a043d3907d771c463e17dde28e.jpg,5.6,800,100,12:29:04
+1.0,2012-03-22,2012-03-22 11:05:53,0,3,704195a58bf8b982824f381c78954213.jpg,5.6,800,400,11:05:53
+1.0,2013-02-13,2013-02-13 12:02:19,1,1,aecf8d872bf5b9f959c95799205a6dae.jpg,5.6,800,100,12:02:19
+1.0,2012-04-03,2012-04-03 09:35:36,0,3,e8bf9a45878a27905af20ddbb3d6683c.jpg,5.6,800,400,09:35:36
+1.0,2012-04-03,2012-04-03 09:44:57,0,3,5429c84e63cf61428f91c9bcb9539201.jpg,5.6,800,400,09:44:57
+1.0,2013-01-29,2013-01-29 12:10:17,1,1,7460dc269302222220a1d12195fd4e0f.jpg,5.6,800,100,12:10:17
+1.0,2012-03-22,2012-03-22 11:07:47,0,3,83569673872d9fe7217a8bf2c2b63923.jpg,5.6,800,400,11:07:47
+1.0,2012-03-22,2012-03-22 11:04:59,0,3,9217a35000b5239b101e3a1025ac1a9e.jpg,5.6,800,400,11:04:59
+1.0,2013-02-19,2013-02-19 16:33:44,1,1,5b2f09b9c487f12dbdddf5432e9ef66f.jpg,5.6,800,320,16:33:44
+1.0,2012-04-03,2012-04-03 09:39:27,0,3,0530635cecf4bcb50ac77ac7120c3541.jpg,5.6,800,400,09:39:27
+1.0,2013-02-19,2013-02-19 16:26:31,1,1,7fd069fc98b218a02aadf8270f86f277.jpg,5.6,800,400,16:26:31
+1.0,2012-03-20,2012-03-20 11:07:51,0,3,591955535d78986cc84098dd8d208c4c.jpg,5.6,800,400,11:07:51
+1.0,2012-04-03,2012-04-03 11:08:17,0,3,e24c0e521750f26f90b5527036aa616b.jpg,5.6,800,400,11:08:17
+1.0,2013-01-29,2013-01-29 16:31:35,1,1,53226caca4ada7c29395a96d01650276.jpg,5.6,800,320,16:31:35
+1.0,2013-01-29,2013-01-29 16:34:02,1,1,39de86a8610b5c09b3f29e892951a043.jpg,5.6,800,640,16:34:02
+1.0,2013-02-26,2013-02-26 12:18:03,1,1,1187f6aeb8f55d140aff04b3f0f3012c.jpg,5.6,800,200,12:18:03
+1.0,2013-02-26,2013-02-26 12:08:45,1,1,112b2664c8027d09cff5a133b4947198.jpg,5.6,800,200,12:08:45
+1.0,2012-03-20,2012-03-20 11:06:30,0,3,66f13ee20391eeeee10de35a88dcde3a.jpg,5.6,800,400,11:06:30
+1.0,2013-01-29,2013-01-29 16:22:47,1,1,0f9845e70d370c78f8b4df7ce35000a6.jpg,5.6,800,320,16:22:47
+1.0,2012-04-03,2012-04-03 09:35:12,0,3,682f77d6091f8869982458cb6dde9822.jpg,5.6,800,400,09:35:12
+1.0,2013-02-13,2013-02-13 12:11:32,1,1,74af79a56c3dba49b4aef125e0193ed8.jpg,5.6,800,100,12:11:32
+1.0,2013-02-13,2013-02-13 12:52:50,1,1,de656876fc078455b11aaa9b063eff51.jpg,5.6,800,100,12:52:50
+1.0,2013-01-29,2013-01-29 12:30:53,1,1,f41bbcf33e61acbaf689b575b1c9dc8e.jpg,5.6,800,100,12:30:53
+1.0,2013-01-29,2013-01-29 12:33:59,1,1,48298219e8fe2d040830cab997bcc3f2.jpg,5.6,800,100,12:33:59
+1.0,2012-03-20,2012-03-20 12:33:01,0,3,46bb2d7a5816d95b3d7ff0a6cdfe1786.jpg,5.6,800,400,12:33:01
+1.0,2012-04-03,2012-04-03 11:07:50,0,3,616d7b651725b072e7a5c5065b23c8a6.jpg,5.6,800,400,11:07:50
+1.0,2013-02-20,2013-02-20 12:08:19,1,1,1c977fbf8ec524048ed970b48bea356d.jpg,5.6,800,250,12:08:19
+1.0,2012-03-08,2012-03-08 10:45:26,0,3,80c14e2adf0d90285207122017e5e935.jpg,5.6,800,400,10:45:26
+1.0,2013-02-20,2013-02-20 12:22:09,1,1,dabcd6f586db03b69fa87a604c7dc7f1.jpg,5.6,800,100,12:22:09
+1.0,2013-02-19,2013-02-19 16:17:18,1,1,8e2f3414414930a9472bb3bfb0930a0e.jpg,5.6,800,320,16:17:18
+1.0,2012-04-03,2012-04-03 09:44:04,0,3,e921e029fae319a4d1ec13464ce6cf73.jpg,5.6,800,400,09:44:04
+1.0,2013-01-28,2013-01-28 12:40:48,1,1,94ecaf594fc77f32c60447a0be72721d.jpg,5.6,800,100,12:40:48
+1.0,2012-04-03,2012-04-03 12:32:38,0,3,13230767447d74804040e1e968fd20ee.jpg,5.6,800,400,12:32:38
+1.0,2012-04-03,2012-04-03 12:31:06,0,3,1353b61e53d6e4772a4e81054fc07d2a.jpg,5.6,800,400,12:31:06
+1.0,2012-03-22,2012-03-22 11:04:06,0,3,5a35519f4180f743fecc38d9ed5485e2.jpg,5.6,800,400,11:04:06
+1.0,2012-04-03,2012-04-03 12:37:57,0,3,6d3010a897e4304494e3b6e60c70a635.jpg,5.6,800,400,12:37:57
+1.0,2013-02-20,2013-02-20 12:09:49,1,1,8a708008dab46be6653ab589b824f7c3.jpg,5.6,800,200,12:09:49
+1.0,2013-02-20,2013-02-20 12:10:18,1,1,1da0275889455f7fb7566f5f93c02e84.jpg,5.6,800,160,12:10:18
+1.0,2013-01-29,2013-01-29 12:13:00,1,1,1a1e70d92d9e5fe90b9672a27b85a682.jpg,5.6,800,100,12:13:00
+1.0,2013-02-13,2013-02-13 12:48:07,1,1,9143e6afa6eb212c9143af0c91d796b4.jpg,5.6,800,100,12:48:07
+1.0,2012-04-03,2012-04-03 09:37:49,0,3,defc80604e1cbbba78f78373c007ac01.jpg,5.6,800,400,09:37:49
+1.0,2013-01-28,2013-01-28 12:33:11,1,1,e79f32fd7c6461aafa8022ea280d1a46.jpg,5.6,800,100,12:33:11
+1.0,2013-02-26,2013-02-26 12:13:06,1,1,2f8d94b0c59482f389d62ecfb81b4ab0.jpg,5.6,800,160,12:13:06
+1.0,2012-02-23,2012-02-23 14:56:46,0,3,8f5e3c8a920fb45dd297b46221022cb2.jpg,5.6,800,400,14:56:46
+1.0,2013-01-29,2013-01-29 16:26:21,1,1,731720924cc1c265af336cec83ab6986.jpg,5.6,800,250,16:26:21
+1.0,2012-03-22,2012-03-22 11:11:05,0,3,edbeeff8020ca3e36b483b203be1fa39.jpg,5.6,800,400,11:11:05
+1.0,2013-02-20,2013-02-20 12:13:34,1,1,250277cc29b51b573e64eb7687c5dfed.jpg,5.6,800,160,12:13:34
+1.0,2013-01-29,2013-01-29 16:21:20,1,1,8ae8baa2da1b7820d12779a50779dc8d.jpg,5.6,800,200,16:21:20
+1.0,2013-02-13,2013-02-13 12:41:54,1,1,45ae5bca753efc7debc13aed07975d98.jpg,5.6,800,100,12:41:54
+1.0,2013-02-20,2013-02-20 12:43:26,1,1,5d93506c7bce773f3907eed47a5786ec.jpg,5.6,800,100,12:43:26
+1.0,2013-01-29,2013-01-29 12:33:29,1,1,88e02e99a2cea354cc4770b18f367356.jpg,5.6,800,100,12:33:29
+1.0,2012-03-20,2012-03-20 12:36:24,0,3,c6952659af7bc2234e059d19766d0338.jpg,5.6,800,400,12:36:24
+1.0,2012-04-03,2012-04-03 11:12:31,0,3,3846542a5b7ee8d0f1ea42999f6173e0.jpg,5.6,800,400,11:12:31
+1.0,2013-01-29,2013-01-29 12:33:28,1,1,d8657e0e5eb25dc7ba4213c6d243f5bd.jpg,5.6,800,100,12:33:28
+1.0,2012-04-24,2012-04-24 09:48:09,0,3,0748abfdd3eec81f5303ac290531caec.jpg,5.6,800,400,09:48:09
+1.0,2013-02-19,2013-02-19 16:27:22,1,1,94adc45a6dc1149cc5244ddd79591d1a.jpg,5.6,800,320,16:27:22
+1.0,2013-01-29,2013-01-29 16:23:32,1,1,3443edc5450d329ec72bb35282c99740.jpg,5.6,800,320,16:23:32
+1.0,2012-03-22,2012-03-22 11:09:45,0,3,6e44d0179f9791230118ec1b8666ffe0.jpg,5.6,800,400,11:09:45
+1.0,2013-02-20,2013-02-20 12:32:25,1,1,d0dacbda94b9f6a976294db2a9ec7bb6.jpg,5.6,800,100,12:32:25
+1.0,2013-01-29,2013-01-29 12:16:58,1,1,a46b9dbc49135e926535307a6c6aea91.jpg,5.6,800,100,12:16:58
+1.0,2012-03-20,2012-03-20 12:29:11,0,3,ff5b0e597b0dd23270428ebb122d5b02.jpg,5.6,800,400,12:29:11
+1.0,2013-02-13,2013-02-13 13:13:36,1,1,94f8a0ca49e120c27dd0116e28f4506c.jpg,5.6,800,100,13:13:36
+1.0,2012-03-06,2012-03-06 13:32:02,0,3,0035a3b3d850c868faf9d8a9e5bc3066.jpg,5.6,800,400,13:32:02
+1.0,2013-02-13,2013-02-13 12:17:36,1,1,56c94b9494b6fcf6e4cb87b9911900d6.jpg,5.6,800,100,12:17:36
+1.0,2012-04-03,2012-04-03 09:37:05,0,3,d99db5d81b2f2a8d53fe9f6be7e8a7be.jpg,5.6,800,400,09:37:05
+1.0,2013-01-29,2013-01-29 16:32:48,1,1,b8aa9d4942d7e9a0743f57083ed5e5b0.jpg,5.6,800,400,16:32:48
+1.0,2012-04-03,2012-04-03 12:31:31,0,3,d931eb393762d51c24985a158d2e7946.jpg,5.6,800,400,12:31:31
+1.0,2013-02-19,2013-02-19 16:29:05,1,1,a153ce772c8cfb66cdf3710924a2de51.jpg,5.6,800,320,16:29:05
+1.0,2012-03-08,2012-03-08 10:47:36,0,3,be81d1e7c7e15e04eee01a4096e766b3.jpg,5.6,800,400,10:47:36
+1.0,2012-03-13,2012-03-13 11:11:31,0,3,fecac4bb27c3162c047f1f3b56b97077.jpg,5.6,800,400,11:11:31
+1.0,2013-02-13,2013-02-13 13:18:02,1,1,891921597729be29c1949c757fb650b3.jpg,5.6,800,100,13:18:02
+1.0,2012-03-13,2012-03-13 11:09:00,0,3,296a60af37ea0f62d6432b2d13ff613a.jpg,5.6,800,400,11:09:00
+1.0,2012-04-03,2012-04-03 11:08:19,0,3,484721d2f87a0f87c1e289f297276e3d.jpg,5.6,800,400,11:08:19
+1.0,2012-04-03,2012-04-03 11:12:15,0,3,72209156eae5a682eeead7ff8a6a9849.jpg,5.6,800,400,11:12:15
+1.0,2013-01-29,2013-01-29 12:19:04,1,1,71340d0f0ee24832b1725a7d3e78d887.jpg,5.6,800,100,12:19:04
+1.0,2013-02-19,2013-02-19 16:17:45,1,1,ccea2d73737f2ee0cb1ff850cdb8ddf3.jpg,5.6,800,320,16:17:45
+1.0,2013-02-26,2013-02-26 12:08:41,1,1,52ba03773cafb5ceb23bde7b5a251dab.jpg,5.6,800,200,12:08:41
+1.0,2013-02-13,2013-02-13 12:19:58,1,1,c74d105db37279e1e7326bdb5cd3a331.jpg,5.6,800,100,12:19:58
+1.0,2012-03-20,2012-03-20 15:23:59,0,3,c973c3d67be55eb18184489b6823172b.jpg,5.6,800,400,15:23:59
+1.0,2012-04-03,2012-04-03 09:36:20,0,3,af6fb64432728a4e19999eac154b6ac6.jpg,5.6,800,400,09:36:20
+1.0,2012-03-20,2012-03-20 15:23:29,0,3,1ef5862909e83f0abfdc697602c26602.jpg,5.6,800,400,15:23:29
+1.0,2013-02-19,2013-02-19 16:23:24,1,1,888318ba1c1d951bf1f726cf90882c81.jpg,5.6,800,320,16:23:24
+1.0,2012-04-03,2012-04-03 11:09:14,0,3,1c8ff7e95b12f242ed985acf4f3d4432.jpg,5.6,800,400,11:09:14
+1.0,2013-01-28,2013-01-28 12:40:05,1,1,ea020b637e2e4c8e631e3d2fdc6e582f.jpg,5.6,800,100,12:40:05
+1.0,2013-01-28,2013-01-28 12:34:16,1,1,07bf546d98523e9075095cf9c4752568.jpg,5.6,800,100,12:34:16
+1.0,2013-02-20,2013-02-20 12:23:59,1,1,ee1cc518dc1d5fab999ff5657db65bbc.jpg,5.6,800,100,12:23:59
+1.0,2012-04-03,2012-04-03 09:44:24,0,3,efbc2e8a0b50a28a295aa0dce390bc3b.jpg,5.6,800,400,09:44:24
+1.0,2012-03-08,2012-03-08 14:54:04,0,3,07d2d47f7f5c0c8a75ce6375ff9a71b2.jpg,5.6,800,400,14:54:04
+1.0,2012-03-20,2012-03-20 15:23:04,0,3,8d7fe560de109114393a71b4fc54008a.jpg,5.6,800,400,15:23:04
+1.0,2012-04-03,2012-04-03 11:07:06,0,3,8289d6c53ccb05dcfcf644b7c09a41a0.jpg,5.6,800,400,11:07:06
+1.0,2012-03-20,2012-03-20 09:44:54,0,3,1172190d89de5767046a46fe94fefeca.jpg,5.6,800,400,09:44:54
+1.0,2013-02-13,2013-02-13 13:22:31,1,1,eafd28e65c7ec01c0208210071168ca0.jpg,5.6,800,100,13:22:31
+1.0,2013-02-26,2013-02-26 12:10:35,1,1,97993f633a9fb189d2f8e89c9132098c.jpg,5.6,800,200,12:10:35
+1.0,2012-04-03,2012-04-03 09:44:18,0,3,a6ef1a0c31e401464d0269117eef35eb.jpg,5.6,800,400,09:44:18
+1.0,2012-03-22,2012-03-22 11:08:48,0,3,f317b6d66ac1fdd828794d55c3193377.jpg,5.6,800,400,11:08:48
+1.0,2013-02-19,2013-02-19 16:16:00,1,1,9e43192a7c16040a34c132320769e7b2.jpg,5.6,800,320,16:16:00
+1.0,2013-02-20,2013-02-20 12:17:31,1,1,fa6efc9e5a41abd60367dada73a145ce.jpg,5.6,800,125,12:17:31
+1.0,2013-02-19,2013-02-19 16:28:28,1,1,42941b83f3d35c13adbf08dee1fd62d8.jpg,5.6,800,320,16:28:28
+1.0,2013-01-29,2013-01-29 12:13:00,1,1,eb97b901b347c534c76ecd8101f3c2c3.jpg,5.6,800,100,12:13:00
+1.0,2012-03-22,2012-03-22 11:11:05,0,3,c32e900737673c63e43129656652fe32.jpg,5.6,800,400,11:11:05
+1.0,2013-02-20,2013-02-20 12:13:38,1,1,d16f82945ec2d36efafafc605358f0dd.jpg,5.6,800,160,12:13:38
+1.0,2012-03-20,2012-03-20 09:46:45,0,3,697a98bb2529a3b8a103d90c74b6a7b1.jpg,5.6,800,400,09:46:45
+1.0,2012-03-20,2012-03-20 12:30:53,0,3,39092bbe7e8eb37f312a285cb7dcaf88.jpg,5.6,800,400,12:30:53
+1.0,2012-03-20,2012-03-20 12:31:19,0,3,718507f3aaf4102bfefafb45d6dfa1c0.jpg,5.6,800,400,12:31:19
+1.0,2013-01-28,2013-01-28 12:38:52,1,1,9a4e375821fc710e2f81400f3bfde882.jpg,5.6,800,100,12:38:52
+1.0,2012-03-22,2012-03-22 11:06:47,0,3,17f9df8849f0c9601c4116a601e6751f.jpg,5.6,800,400,11:06:47
+1.0,2012-03-20,2012-03-20 11:07:50,0,3,93815ea82295a6f1c2e2c8ccea262249.jpg,5.6,800,400,11:07:50
+1.0,2012-02-23,2012-02-23 14:56:56,0,3,4ad3b7777826b42390097acdf1880797.jpg,5.6,800,400,14:56:56
+1.0,2013-01-29,2013-01-29 16:22:47,1,1,e9cd0174f324eea24bec883b7be01b6c.jpg,5.6,800,250,16:22:47
+1.0,2012-04-03,2012-04-03 11:05:42,0,3,c0d4c52f2c5fda4b019a018cdf37b116.jpg,5.6,800,400,11:05:42
+1.0,2012-03-20,2012-03-20 09:42:20,0,3,4c0a2f45d187d9262d8c1c042e8936d8.jpg,5.6,800,400,09:42:20
+1.0,2012-04-03,2012-04-03 12:34:07,0,3,6849d7e4c709f2d9e2ab2e2d7b771fe5.jpg,5.6,800,400,12:34:07
+1.0,2013-01-29,2013-01-29 16:29:09,1,1,5ab66f931fcb2355fd8e82696c76cd62.jpg,5.6,800,250,16:29:09
+1.0,2012-03-20,2012-03-20 11:08:19,0,3,f730cf112b66c4bf50b5787cf1211041.jpg,5.6,800,400,11:08:19
+1.0,2013-02-13,2013-02-13 13:14:56,1,1,f7132b917e6a9a955eec738d335d5f84.jpg,5.6,800,100,13:14:56
+1.0,2013-02-19,2013-02-19 16:25:41,1,1,7371c686ae0d6b77cc2442c3d23c9b92.jpg,5.6,800,320,16:25:41
+1.0,2012-04-03,2012-04-03 11:05:54,0,3,2ff38d928ebb92919bb172eb7c47819f.jpg,5.6,800,400,11:05:54
+1.0,2012-03-08,2012-03-08 10:46:01,0,3,69d19668e738b75e39f497b84a1ad2de.jpg,5.6,800,400,10:46:01
+1.0,2012-04-03,2012-04-03 11:11:18,0,3,7b5c6d193f2ffce4f79fb78ad46d9e2d.jpg,5.6,800,400,11:11:18
+1.0,2012-04-03,2012-04-03 12:35:45,0,3,5f3cf3f804ad47468281ee823bfc4f7f.jpg,5.6,800,400,12:35:45
+1.0,2012-03-20,2012-03-20 09:47:37,0,3,a62a98dbb4cc8b3a16f16ffc24f95023.jpg,5.6,800,400,09:47:37
+1.0,2012-03-20,2012-03-20 12:30:31,0,3,9be54ccc0b1c367f611aef3b9f6ddfb0.jpg,5.6,800,400,12:30:31
+1.0,2012-03-08,2012-03-08 15:01:01,0,3,828881ed5ca7249b2cc69fbcae35b463.jpg,5.6,800,400,15:01:01
+1.0,2012-04-03,2012-04-03 09:43:50,0,3,bef74e2844ff62f53509bd6d8795aa16.jpg,5.6,800,400,09:43:50
+1.0,2012-04-03,2012-04-03 11:10:26,0,3,f9489624a4fb33a5556447458492d131.jpg,5.6,800,400,11:10:26
+1.0,2013-01-28,2013-01-28 12:42:20,1,1,76ccdcb7eb113075e0659d263e4b1188.jpg,5.6,800,100,12:42:20
+1.0,2012-03-20,2012-03-20 11:04:11,0,3,e77184e71235e1b2b7b6cdad64669d7f.jpg,5.6,800,400,11:04:11
+1.0,2013-02-19,2013-02-19 16:33:12,1,1,f0ebdc99313e4ca8652a2aee7395413f.jpg,5.6,800,320,16:33:12
+1.0,2012-03-08,2012-03-08 14:57:20,0,3,f5eda3fddcc3c851c337cc874be1033d.jpg,5.6,800,400,14:57:20
+1.0,2012-03-20,2012-03-20 12:36:52,0,3,9cd28576c6d28c72437c2253d1502eaa.jpg,5.6,800,400,12:36:52
+1.0,2012-03-08,2012-03-08 10:43:54,0,3,906b3f7510a00c1d0e50f3712ebb81b9.jpg,5.6,800,400,10:43:54
+1.0,2013-01-29,2013-01-29 12:11:53,1,1,045bffd7b26d9519c03dabb70da46e74.jpg,5.6,800,100,12:11:53
+1.0,2013-01-29,2013-01-29 12:31:37,1,1,a53c82804a5a8f62f7f6859d940053b1.jpg,5.6,800,100,12:31:37
+1.0,2013-01-28,2013-01-28 12:33:14,1,1,f283ce739a2f2a7866b20a0a058c65b7.jpg,5.6,800,100,12:33:14
+1.0,2013-02-20,2013-02-20 12:09:21,1,1,cef4305ebc99cb0e25ff80adc518ec02.jpg,5.6,800,200,12:09:21
+1.0,2012-03-20,2012-03-20 12:33:37,0,3,beee5eafd0bf4e105799327bd57c852e.jpg,5.6,800,400,12:33:37
+1.0,2012-03-20,2012-03-20 15:23:38,0,3,d0cd9ad9b7fd49b6b63c93efad7b0c1e.jpg,5.6,800,400,15:23:38
+1.0,2013-01-29,2013-01-29 12:09:23,1,1,5fdabcd1225e4960b19f9d9d27f6a238.jpg,5.6,800,100,12:09:23
+1.0,2012-03-20,2012-03-20 13:57:27,0,3,47a258a0f429fc316b7051c64198890d.jpg,5.6,800,400,13:57:27
+1.0,2012-03-22,2012-03-22 11:11:04,0,3,a06e8cf96233a94a7356f1d31132c1be.jpg,5.6,800,400,11:11:04
+1.0,2012-03-20,2012-03-20 13:56:58,0,3,787398de77fc425d821cd1e6983fe93b.jpg,5.6,800,400,13:56:58
+1.0,2012-03-20,2012-03-20 11:07:28,0,3,98c1d0037c5bb77fdfa5e75e028dce46.jpg,5.6,800,400,11:07:28
+1.0,2012-04-03,2012-04-03 11:13:10,0,3,76c242cf3e1f6785335b0116d0b27a9d.jpg,5.6,800,400,11:13:10
+1.0,2013-01-29,2013-01-29 12:15:09,1,1,dd8ea91645687065d4a88fd85d97a319.jpg,5.6,800,100,12:15:09
+1.0,2013-02-13,2013-02-13 13:17:32,1,1,963072174ba738a964d0e0b9d862b5cb.jpg,5.6,800,100,13:17:32
+1.0,2013-01-29,2013-01-29 12:15:03,1,1,bff226156eccd6eb38a10102cd481771.jpg,5.6,800,100,12:15:03
+1.0,2013-01-29,2013-01-29 12:27:27,1,1,b5c067cd72a339b1044c5d80a15c4a8f.jpg,5.6,800,100,12:27:27
+1.0,2013-02-20,2013-02-20 12:24:09,1,1,0ace2b63cabe1626ff98a93e959c027c.jpg,5.6,800,100,12:24:09
+1.0,2012-03-20,2012-03-20 15:23:55,0,3,da78961b9ed6edcf3e7b44df499a317f.jpg,5.6,800,400,15:23:55
+1.0,2012-03-20,2012-03-20 13:57:52,0,3,7bb82a9605e3412fb831fea319aa2fb2.jpg,5.6,800,400,13:57:52
+1.0,2013-02-26,2013-02-26 12:08:01,1,1,1419bccb782ebfe2d50cd8655e3b2162.jpg,5.6,800,160,12:08:01
+1.0,2013-01-28,2013-01-28 12:41:38,1,1,e24ab134e920f67c65ac875e3d85c1a7.jpg,5.6,800,100,12:41:38
+1.0,2012-04-03,2012-04-03 09:44:18,0,3,1721f97869c9a3f5857342aa638c538a.jpg,5.6,800,400,09:44:18
+1.0,2012-03-20,2012-03-20 09:45:57,0,3,c70af9ca432d5a4e2ad041829fadf470.jpg,5.6,800,400,09:45:57
+1.0,2013-02-20,2013-02-20 12:26:47,1,1,a8f8fd9244ab230b5ea3b29769c1b98f.jpg,5.6,800,100,12:26:47
+1.0,2012-04-03,2012-04-03 09:44:59,0,3,2cd8590ff7f3240acd5aff78335c1e4b.jpg,5.6,800,400,09:44:59
+1.0,2013-01-29,2013-01-29 16:27:52,1,1,9db8022bf82d7dcd9390b8cf77c5c0bd.jpg,5.6,800,400,16:27:52
+1.0,2012-03-22,2012-03-22 11:07:49,0,3,d62dc513265930c878d9502869dba837.jpg,5.6,800,400,11:07:49
+1.0,2013-01-29,2013-01-29 16:33:02,1,1,83f3c7c136035dda6befd37879311765.jpg,5.6,800,500,16:33:02
+1.0,2012-02-23,2012-02-23 14:55:40,0,3,52387647417626138e69f5e17b2f5cd9.jpg,5.6,800,400,14:55:40
+1.0,2013-02-26,2013-02-26 12:24:17,1,1,de5a5a2285e64b356b4989ce1e9eced4.jpg,5.6,800,200,12:24:17
+1.0,2012-04-03,2012-04-03 09:38:17,0,3,82b0253b18d0dd0cb0ad1db7bae0b307.jpg,5.6,800,400,09:38:17
+1.0,2013-01-28,2013-01-28 12:40:52,1,1,7cd0947478a3c8c1652752f93f4fa5bc.jpg,5.6,800,100,12:40:52
+1.0,2013-01-29,2013-01-29 16:26:45,1,1,42eb591180145b8dc60378be6853da49.jpg,5.6,800,500,16:26:45
+1.0,2012-04-03,2012-04-03 09:44:55,0,3,8b90c458eacdf83c4b2e6e38270a41b0.jpg,5.6,800,400,09:44:55
+1.0,2013-01-29,2013-01-29 12:07:53,1,1,9ef1197e612eb69a43988e1691d005d6.jpg,5.6,800,100,12:07:53
+1.0,2012-04-03,2012-04-03 09:35:53,0,3,68ebe5cb2e6859809a24d09da2a4a928.jpg,5.6,800,400,09:35:53
+1.0,2012-03-08,2012-03-08 10:43:59,0,3,4e347ae8c051111fd95430cba7dbfb36.jpg,5.6,800,400,10:43:59
+1.0,2012-04-03,2012-04-03 12:31:03,0,3,8f63a10b02aea7222055a0bb9d3a822b.jpg,5.6,800,400,12:31:03
+1.0,2012-03-20,2012-03-20 15:23:16,0,3,82318509abb161389d779ccc7d9b77cf.jpg,5.6,800,400,15:23:16
+1.0,2013-02-20,2013-02-20 12:22:22,1,1,a477722bf930b5cea65e8af8889039bd.jpg,5.6,800,100,12:22:22
+1.0,2013-01-29,2013-01-29 12:30:03,1,1,d11bfb0bab3d45e89263086d206c734f.jpg,5.6,800,100,12:30:03
+1.0,2012-03-20,2012-03-20 09:45:55,0,3,ea2562502f06426d03f1e0bae8b2b11a.jpg,5.6,800,400,09:45:55
+1.0,2013-02-13,2013-02-13 13:27:15,1,1,771fdab0d3e01d9d6c5bd905db5be801.jpg,5.6,800,100,13:27:15
+1.0,2013-02-19,2013-02-19 16:29:20,1,1,2a393076243ebfd19987d3fbd7e56cd4.jpg,5.6,800,320,16:29:20
+1.0,2013-01-29,2013-01-29 12:34:35,1,1,0c60d1798a1cd82c741d9bb6166bdd13.jpg,5.6,800,100,12:34:35
+1.0,2013-02-20,2013-02-20 12:22:36,1,1,e1848252e4de74d5664ccb1771a49d3c.jpg,5.6,800,100,12:22:36
+1.0,2013-01-29,2013-01-29 12:31:17,1,1,92a78bb945cef8562c955d834921e3f6.jpg,5.6,800,100,12:31:17
+1.0,2013-01-28,2013-01-28 12:41:51,1,1,15f1581ae08efd32292df4a52ffe39b9.jpg,5.6,800,100,12:41:51
+1.0,2013-01-28,2013-01-28 12:42:41,1,1,a22ec42f0b6434d9a4383dc86dafd752.jpg,5.6,800,100,12:42:41
+1.0,2012-03-20,2012-03-20 13:57:41,0,3,e8b0b7f039e8366fbd5434c843d7eb17.jpg,5.6,800,400,13:57:41
+1.0,2013-01-28,2013-01-28 12:42:34,1,1,7f28dbd2d7e71d8b8da8ec68327101d9.jpg,5.6,800,100,12:42:34
+1.0,2012-04-03,2012-04-03 11:07:47,0,3,a40376658287d9f4c0ee9d811e0c314c.jpg,5.6,800,400,11:07:47
+1.0,2012-03-22,2012-03-22 11:04:59,0,3,7d60ec8129fe321733264301b93fa832.jpg,5.6,800,400,11:04:59
+1.0,2012-03-06,2012-03-06 13:30:11,0,3,c983d592a2cfb01ae2b6351af9486c18.jpg,5.6,800,400,13:30:11
+1.0,2013-01-28,2013-01-28 12:42:23,1,1,d9f0444c876d0e80d9f9f8ebe67e8fc7.jpg,5.6,800,100,12:42:23
+1.0,2012-03-20,2012-03-20 13:56:16,0,3,fdb519c664f9f7b02d82e3112ab61b94.jpg,5.6,800,400,13:56:16
+1.0,2012-03-20,2012-03-20 09:46:49,0,3,5b041d620ec63a84ac757f1436bfbd53.jpg,5.6,800,400,09:46:49
+1.0,2013-01-29,2013-01-29 16:25:18,1,1,c45a55fc33d2f9df97bee8eed0be7622.jpg,5.6,800,400,16:25:18
+1.0,2013-02-26,2013-02-26 12:12:32,1,1,37482d6a69e079128bdf019a0e0d6594.jpg,5.6,800,160,12:12:32
+1.0,2012-03-08,2012-03-08 12:11:14,0,3,a7f35615b3df4ddad710a0ab11df4106.jpg,5.6,800,400,12:11:14
+1.0,2012-03-20,2012-03-20 09:45:50,0,3,8805ac571edb4f8dc5e40ed2651c5b01.jpg,5.6,800,400,09:45:50
+1.0,2013-01-28,2013-01-28 12:41:05,1,1,8b55edd9a1a2bc13f3e85f38a45c2ad3.jpg,5.6,800,100,12:41:05
+1.0,2013-02-26,2013-02-26 12:12:36,1,1,bbdd55c6761df4de13a632a0553e14f6.jpg,5.6,800,200,12:12:36
+1.0,2013-02-19,2013-02-19 16:28:36,1,1,88fd2e25c38687f5b69e499606b5060a.jpg,5.6,800,500,16:28:36
+1.0,2013-01-29,2013-01-29 16:27:35,1,1,0ec39c492d489a672f43f37bb4cf1ac9.jpg,5.6,800,250,16:27:35
+1.0,2013-01-29,2013-01-29 16:26:58,1,1,e419f206385bc07bd696504a866efde5.jpg,5.6,800,250,16:26:58
+1.0,2012-03-22,2012-03-22 11:11:01,0,3,7b79cc9de730517124e40ff8fbf86138.jpg,5.6,800,400,11:11:01
+1.0,2013-01-28,2013-01-28 12:38:19,1,1,2964771ecc9017c5051b918e16929464.jpg,5.6,800,100,12:38:19
+1.0,2012-04-17,2012-04-17 12:28:34,0,3,532472783bcac58b5864c56f35ad0c35.jpg,5.6,800,400,12:28:34
+1.0,2012-03-06,2012-03-06 13:30:04,0,3,f669c6d06de9a7ccf3a2bb4ab680da87.jpg,5.6,800,400,13:30:04
+1.0,2012-04-03,2012-04-03 11:06:32,0,3,de02326d504022e8f0ef56c7ac8c1213.jpg,5.6,800,400,11:06:32
+1.0,2012-03-20,2012-03-20 09:44:53,0,3,a519e8bc28e614514f256cbfa71ea72f.jpg,5.6,800,400,09:44:53
+1.0,2012-03-20,2012-03-20 09:42:08,0,3,4f21d40c3524e5a8f750c08d9968a31b.jpg,5.6,800,400,09:42:08
+1.0,2013-02-26,2013-02-26 12:19:22,1,1,74db2b003b095e1e777b8baf4b3340e5.jpg,5.6,800,200,12:19:22
+1.0,2013-02-19,2013-02-19 16:28:44,1,1,9c477be53412f2d6c1ebc37d26186f30.jpg,5.6,800,320,16:28:44
+1.0,2013-02-13,2013-02-13 12:17:10,1,1,23f1ae696b0854be93ef927cab265461.jpg,5.6,800,100,12:17:10
+1.0,2012-03-08,2012-03-08 14:57:19,0,3,e0a0b8237f6b59b3cea6c508386d2127.jpg,5.6,800,400,14:57:19
+1.0,2013-02-20,2013-02-20 12:09:20,1,1,89f7e84ffff5bb928ce90d24f6156569.jpg,5.6,800,200,12:09:20
+1.0,2013-02-20,2013-02-20 12:25:55,1,1,9b40766cee83f7b9382b94e2c976eb79.jpg,5.6,800,100,12:25:55
+1.0,2012-03-22,2012-03-22 11:06:27,0,3,0168d2f9fd3e061f3fdf43e1a3024168.jpg,5.6,800,400,11:06:27
+1.0,2012-04-03,2012-04-03 11:06:20,0,3,d4c83c5975723232620e2ac1cc660460.jpg,5.6,800,400,11:06:20
+1.0,2013-01-29,2013-01-29 12:34:17,1,1,622e5906c3b8cf5921127dec8a9ef7f0.jpg,5.6,800,100,12:34:17
+1.0,2012-04-03,2012-04-03 11:07:52,0,3,5ff40a96b9bd78746a21d1776687bc47.jpg,5.6,800,400,11:07:52
+1.0,2013-02-20,2013-02-20 12:25:56,1,1,471e2fecd262d78cb58d55367d7f5409.jpg,5.6,800,100,12:25:56
+1.0,2012-03-06,2012-03-06 13:32:35,0,3,8ef2cb5f7e8c6ab65114400bb6e03587.jpg,5.6,800,400,13:32:35
+1.0,2013-02-20,2013-02-20 12:34:22,1,1,9ad6d1841a730ebfd42af3abac271849.jpg,5.6,800,100,12:34:22
+1.0,2013-01-28,2013-01-28 12:33:20,1,1,05c473606d7e787b6e7fa7c0f748f4d4.jpg,5.6,800,100,12:33:20
+1.0,2013-01-29,2013-01-29 12:34:28,1,1,53f8e1503e4add93cca4fb28ef0d71fe.jpg,5.6,800,100,12:34:28
+1.0,2012-04-03,2012-04-03 09:35:01,0,3,3ca20eefbed0ad55477a19e0514dc450.jpg,5.6,800,400,09:35:01
+1.0,2012-03-20,2012-03-20 12:32:43,0,3,0f328af3d6083107a8c26c1862da8b37.jpg,5.6,800,400,12:32:43
+1.0,2013-01-29,2013-01-29 16:27:12,1,1,fc0c81cbc2dd9a7bd969f52886cb3e4a.jpg,5.6,800,250,16:27:12
+1.0,2012-03-08,2012-03-08 10:48:25,0,3,8e08b359bf09e905737f0afc6064fd7f.jpg,5.6,800,400,10:48:25
+1.0,2013-02-20,2013-02-20 12:13:49,1,1,6c7a9ba478190d68f2c9c4f8daff995f.jpg,5.6,800,160,12:13:49
+1.0,2013-01-28,2013-01-28 12:40:03,1,1,a7e1c5122d36ea959defe0cb74a0e19f.jpg,5.6,800,100,12:40:03
+1.0,2012-04-03,2012-04-03 12:35:54,0,3,5e10abe9e336688ed3bed5c9b3e698fb.jpg,5.6,800,400,12:35:54
+1.0,2013-02-26,2013-02-26 12:45:08,1,1,23cd5c1f50392cc765e58ec4b8da3215.jpg,5.6,800,200,12:45:08
+1.0,2013-02-13,2013-02-13 13:26:07,1,1,87086df4498fba34d4726b6d010ed101.jpg,5.6,800,100,13:26:07
+1.0,2013-02-19,2013-02-19 16:23:35,1,1,5deff04b5089ccd6780709a101c54d89.jpg,5.6,800,400,16:23:35
+1.0,2013-02-19,2013-02-19 16:19:40,1,1,d0090603b21c182599415c8ff857d6b4.jpg,5.6,800,320,16:19:40
+1.0,2012-03-06,2012-03-06 13:28:06,0,3,ddc93794b085bf01348795d950e42a69.jpg,5.6,800,400,13:28:06
+1.0,2013-01-28,2013-01-28 12:40:25,1,1,caa4a0c55e909b2d888a93b077b37e96.jpg,5.6,800,100,12:40:25
+1.0,2013-02-26,2013-02-26 12:10:20,1,1,20d767fb74e8a996bc3175737c62e65e.jpg,5.6,800,200,12:10:20
+1.0,2012-04-03,2012-04-03 11:10:15,0,3,48a5b58d7d821588f53dd46e77a8d422.jpg,5.6,800,400,11:10:15
+1.0,2012-04-03,2012-04-03 11:07:28,0,3,35e4d5b6cfef2bb0d1ba5afe726e81d2.jpg,5.6,800,400,11:07:28
+1.0,2013-01-29,2013-01-29 12:13:11,1,1,0eeae042739301b85dc39285aea570e7.jpg,5.6,800,100,12:13:11
+1.0,2012-03-20,2012-03-20 12:32:50,0,3,ff43c9c6e35cea11c7ed628864d555cc.jpg,5.6,800,400,12:32:50
+1.0,2013-02-19,2013-02-19 16:17:56,1,1,053937206be129fec785e41b58b9597d.jpg,5.6,800,320,16:17:56
+1.0,2013-02-19,2013-02-19 16:31:06,1,1,fa3d7a720684161f4baac794edcf7e7b.jpg,5.6,800,320,16:31:06
+1.0,2012-03-08,2012-03-08 14:54:10,0,3,f5e890c89b30ca224ab76a8734d065a9.jpg,5.6,800,400,14:54:10
+1.0,2013-01-29,2013-01-29 16:25:44,1,1,58a7128b794f26650e63e99ee101e477.jpg,5.6,800,400,16:25:44
+1.0,2012-03-22,2012-03-22 13:58:34,0,3,bad9034a93a51ac599805a10a315919f.jpg,5.6,800,400,13:58:34
+1.0,2013-02-20,2013-02-20 12:13:12,1,1,963af5ddb8544a8ea9e74931c420091f.jpg,5.6,800,160,12:13:12
+1.0,2013-02-19,2013-02-19 16:18:12,1,1,8aa2fc2c1018e2b2b8db5d77607a9080.jpg,5.6,800,320,16:18:12
+1.0,2012-04-03,2012-04-03 09:43:45,0,3,34e2260cb688093411e00da669b4d1d3.jpg,5.6,800,400,09:43:45
+1.0,2013-02-13,2013-02-13 12:17:31,1,1,81f59d583e6becd63ea38029c47ce264.jpg,5.6,800,100,12:17:31
+1.0,2013-01-28,2013-01-28 12:40:49,1,1,7b988c661aed64449f28e144cf2ca7bd.jpg,5.6,800,100,12:40:49
+1.0,2012-03-20,2012-03-20 12:32:09,0,3,4dcc17e1072bf84b6df68bce5c8e94e9.jpg,5.6,800,400,12:32:09
+1.0,2012-04-03,2012-04-03 11:05:12,0,3,df7566393b92ecad28205e05a630dce3.jpg,5.6,800,400,11:05:12
+1.0,2012-03-08,2012-03-08 12:10:05,0,3,fe647933228455374afc94ab8b718a35.jpg,5.6,800,400,12:10:05
+1.0,2012-03-08,2012-03-08 10:47:04,0,3,5e635edbe51afe4eac9555301f750531.jpg,5.6,800,400,10:47:04
+1.0,2012-04-03,2012-04-03 09:35:41,0,3,460869f2c900edca8f1908bb7deb2adc.jpg,5.6,800,400,09:35:41
+1.0,2013-02-20,2013-02-20 12:44:09,1,1,853420b152100ff693a02af2d7719d0e.jpg,5.6,800,100,12:44:09
+1.0,2013-02-13,2013-02-13 12:13:31,1,1,d945bf1efbf740524c88069b59f15270.jpg,5.6,800,100,12:13:31
+1.0,2012-03-20,2012-03-20 11:09:22,0,3,d3672b2dc3b7742ea138f8de87f8f5e1.jpg,5.6,800,400,11:09:22
+1.0,2012-04-03,2012-04-03 09:37:22,0,3,2f8e639e297146aea57ff185c5595751.jpg,5.6,800,400,09:37:22
+1.0,2013-01-29,2013-01-29 12:09:25,1,1,fec249585de83fd9164865c8abb3c392.jpg,5.6,800,100,12:09:25
+1.0,2012-03-22,2012-03-22 11:10:14,0,3,99558fa82c2d4ee7bf14e92c8a0f44fb.jpg,5.6,800,400,11:10:14
+1.0,2013-01-29,2013-01-29 12:33:50,1,1,ea3393fba35a06da1d3301a514314d84.jpg,5.6,800,100,12:33:50
+1.0,2013-02-19,2013-02-19 16:33:54,1,1,9e0cb406e9345258a3e1529b4b340ccc.jpg,5.6,800,320,16:33:54
+1.0,2012-04-03,2012-04-03 11:06:34,0,3,96acbb523117926e6a65d3ca805d6a1d.jpg,5.6,800,400,11:06:34
+1.0,2012-03-20,2012-03-20 12:32:49,0,3,d1ba03104c4ee50aea9a02de8a6ac86d.jpg,5.6,800,400,12:32:49
+1.0,2012-04-03,2012-04-03 11:05:14,0,3,a7c799b9f2db14b2b411085eb802de35.jpg,5.6,800,400,11:05:14
+1.0,2013-02-20,2013-02-20 12:34:09,1,1,ace297058563c9c20d5a4a61a690bc51.jpg,5.6,800,100,12:34:09
+1.0,2012-03-08,2012-03-08 14:53:56,0,3,5e99e0de397b327179ffe1fc03836f71.jpg,5.6,800,400,14:53:56
+1.0,2012-02-23,2012-02-23 14:56:47,0,3,89e28f9f8f66f7aad903a9333bba80a5.jpg,5.6,800,400,14:56:47
+1.0,2013-02-20,2013-02-20 12:39:35,1,1,e5aa51978a8bb5fdd1655a845846faf2.jpg,5.6,800,100,12:39:35
+1.0,2012-03-08,2012-03-08 10:45:23,0,3,5b5440965cc8ac028eb4370c0efd3275.jpg,5.6,800,400,10:45:23
+1.0,2013-01-29,2013-01-29 16:25:51,1,1,2e296e96e6240f1f7f775557c1241cec.jpg,5.6,800,400,16:25:51
+1.0,2012-03-06,2012-03-06 13:29:00,0,3,ec05dca93382c6717ad75bfe3ec31d50.jpg,5.6,800,400,13:29:00
+1.0,2013-02-13,2013-02-13 13:27:55,1,1,632b50506ad4d01428daf6cdba552b18.jpg,5.6,800,100,13:27:55
+1.0,2013-02-20,2013-02-20 12:04:41,1,1,24fc67234d1c185a9aff460f0d87343a.jpg,5.6,800,160,12:04:41
+1.0,2012-04-03,2012-04-03 09:37:44,0,3,800f6bea364c213ee1da5459ae70f769.jpg,5.6,800,400,09:37:44
+1.0,2013-01-29,2013-01-29 16:32:27,1,1,587cc28036263be073d00038509e9ff6.jpg,5.6,800,800,16:32:27
+1.0,2012-04-03,2012-04-03 12:31:14,0,3,1b713ebef0d0e754fd34c96566971064.jpg,5.6,800,400,12:31:14
+1.0,2012-03-06,2012-03-06 13:29:34,0,3,97c326b24e8a6ecf37e5dd0f29e7ef55.jpg,5.6,800,400,13:29:34
+1.0,2012-04-03,2012-04-03 11:05:31,0,3,cc8ffc53a2bbcfd1c480c0332fb9f209.jpg,5.6,800,400,11:05:31
+1.0,2012-03-20,2012-03-20 09:47:38,0,3,9621fa6bef81a59bae7a3c5fca04421c.jpg,5.6,800,400,09:47:38
+1.0,2013-01-28,2013-01-28 12:42:31,1,1,0d0767fcee0506cd302421d1e88b7ce3.jpg,5.6,800,100,12:42:31
+1.0,2013-01-29,2013-01-29 12:20:00,1,1,93ba8b7e012450eef029fea7d539de3f.jpg,5.6,800,100,12:20:00
+1.0,2013-02-19,2013-02-19 16:22:34,1,1,f15685c1429cb5b9ae4d64f03d7c4c81.jpg,5.6,800,320,16:22:34
+1.0,2013-01-29,2013-01-29 12:15:04,1,1,2979e016577557a63893d7a8be6d609d.jpg,5.6,800,100,12:15:04
+1.0,2013-01-28,2013-01-28 12:38:10,1,1,78b29874c60d4d10b98c644eecef5212.jpg,5.6,800,100,12:38:10
+1.0,2012-03-22,2012-03-22 11:11:27,0,3,478647b3445ba510790e3e443c385d08.jpg,5.6,800,400,11:11:27
+1.0,2013-02-26,2013-02-26 12:04:49,1,1,0e3adc0e488705f75f2260474c98476e.jpg,5.6,800,160,12:04:49
+1.0,2013-01-28,2013-01-28 12:36:10,1,1,66b8402d8152e7053c9453c63a5fe09a.jpg,5.6,800,100,12:36:10
+1.0,2012-04-03,2012-04-03 09:38:53,0,3,52c87ca46b61d6d0dfea0bbdda5da1a2.jpg,5.6,800,400,09:38:53
+1.0,2013-01-29,2013-01-29 12:17:54,1,1,b595496a754596037a1dad9896b2f962.jpg,5.6,800,100,12:17:54
+1.0,2012-03-20,2012-03-20 11:04:02,0,3,4580ca093fd7838dbaa68efd3fbc7cf0.jpg,5.6,800,400,11:04:02
+1.0,2012-03-08,2012-03-08 10:46:39,0,3,3dff81a6db9bd20ba04d2a262ba9f514.jpg,5.6,800,400,10:46:39
+1.0,2012-04-03,2012-04-03 12:32:52,0,3,a94fe0783ac8f0e1ab2a64d4f461f2b0.jpg,5.6,800,400,12:32:52
+1.0,2012-03-20,2012-03-20 13:58:39,0,3,42c9a5b517ae8e69e9b06de70b98cb57.jpg,5.6,800,400,13:58:39
+1.0,2013-01-29,2013-01-29 16:21:12,1,1,2a1b5d5fcec6208491a567acae415b4b.jpg,5.6,800,200,16:21:12
+1.0,2012-03-08,2012-03-08 10:45:22,0,3,96b005b21b56a8f2f2997f77d68d547f.jpg,5.6,800,400,10:45:22
+1.0,2013-02-13,2013-02-13 13:13:34,1,1,52056ac25db0c9b6613eb3d8227b0a53.jpg,5.6,800,100,13:13:34
+1.0,2012-04-03,2012-04-03 11:10:39,0,3,a7c5a7face69ea1ca244ba8a791c8457.jpg,5.6,800,400,11:10:39
+1.0,2013-02-20,2013-02-20 12:25:25,1,1,f678787553d4a596f83ecb302f897ba0.jpg,5.6,800,100,12:25:25
+1.0,2013-02-20,2013-02-20 12:45:08,1,1,2737133a090df6e8ac55c6999baa0523.jpg,5.6,800,100,12:45:08
+1.0,2013-01-29,2013-01-29 16:27:30,1,1,55b69bdd9e239394a0b1c1b51e3775cf.jpg,5.6,800,250,16:27:30
+1.0,2012-03-20,2012-03-20 12:35:05,0,3,55209f693f359f2cf0a94ffa8207743c.jpg,5.6,800,400,12:35:05
+1.0,2012-03-22,2012-03-22 14:00:46,0,3,7549ad1cb44988d2eca73636e6af0dc6.jpg,5.6,800,400,14:00:46
+1.0,2013-02-19,2013-02-19 16:25:34,1,1,5054a654eb1ad7b79af8a29d2cf3b00b.jpg,5.6,800,320,16:25:34
+1.0,2013-01-29,2013-01-29 12:10:59,1,1,487d5a991e59f428b6de4f0c7ef16a98.jpg,5.6,800,100,12:10:59
+1.0,2013-02-26,2013-02-26 12:24:12,1,1,c4e745229ec0c3b9255844b0b68ac04a.jpg,5.6,800,200,12:24:12
+1.0,2012-03-20,2012-03-20 15:23:03,0,3,aebd6b62df35a06635f3e138c99970b3.jpg,5.6,800,400,15:23:03
+1.0,2012-03-08,2012-03-08 10:47:29,0,3,58884d6d8f8d97d7bc6a53c6adaefa94.jpg,5.6,800,400,10:47:29
+1.0,2012-03-13,2012-03-13 11:11:06,0,3,cc124a8405aa39f0803744f3fee3e5f4.jpg,5.6,800,400,11:11:06
+1.0,2012-03-20,2012-03-20 12:33:37,0,3,96cc51f21c73fe3a9cc48cdf17d3ae17.jpg,5.6,800,400,12:33:37
+1.0,2013-01-29,2013-01-29 12:11:49,1,1,9ef10e8d53ed153fac1e0420b90f07f9.jpg,5.6,800,100,12:11:49
+1.0,2012-03-20,2012-03-20 15:23:59,0,3,ea934dba7a255a66afb0681a4d98e44c.jpg,5.6,800,400,15:23:59
+1.0,2013-01-28,2013-01-28 12:33:15,1,1,f4b0e48fdd372940b11a8cf853a7b89b.jpg,5.6,800,100,12:33:15
+1.0,2013-01-29,2013-01-29 16:25:45,1,1,cae4df8b0cae88f4d4f43d18bc3d2a83.jpg,5.6,800,400,16:25:45
+1.0,2013-01-29,2013-01-29 16:31:18,1,1,b5a6562ca6f022a6972dd53a88001173.jpg,5.6,800,320,16:31:18
+1.0,2012-03-20,2012-03-20 15:23:33,0,3,fe5971d7df9439f1492c6fe97e27b666.jpg,5.6,800,400,15:23:33
+1.0,2012-03-20,2012-03-20 09:43:50,0,3,7f669865e683b140955a94676e5ae0ec.jpg,5.6,800,400,09:43:50
+1.0,2013-01-28,2013-01-28 12:41:54,1,1,4087c06e5c9184fb9b1a8fb274f6f3b7.jpg,5.6,800,100,12:41:54
+1.0,2013-01-29,2013-01-29 12:31:04,1,1,88832fa8ef267db3a7ae7b6541a9c82e.jpg,5.6,800,100,12:31:04
+1.0,2012-03-20,2012-03-20 12:29:53,0,3,56e7583ec5713c1e577ac405dfa44fb2.jpg,5.6,800,400,12:29:53
+1.0,2013-02-20,2013-02-20 12:16:37,1,1,8a7b16b6f363e4b1df68a8da912b1c6a.jpg,5.6,800,125,12:16:37
+1.0,2012-03-20,2012-03-20 12:33:04,0,3,04ba1758a0bd74eed305a96d58cf1bac.jpg,5.6,800,400,12:33:04
+1.0,2013-01-28,2013-01-28 12:33:30,1,1,995f7ab25f6b37123211484f64716adc.jpg,5.6,800,100,12:33:30
+1.0,2013-01-28,2013-01-28 12:42:32,1,1,60537eedff7a3bb856dcb7c241aeef9c.jpg,5.6,800,100,12:42:32
+1.0,2013-01-29,2013-01-29 16:22:20,1,1,a9649c85e4809069dbd3298bd29fc1c9.jpg,5.6,800,320,16:22:20
+1.0,2013-01-29,2013-01-29 12:09:48,1,1,cc602896301fac9464f68c4deff3bdce.jpg,5.6,800,100,12:09:48
+1.0,2012-03-13,2012-03-13 11:09:08,0,3,88dde395174ecf318dcd8247097f63d5.jpg,5.6,800,400,11:09:08
+1.0,2013-02-26,2013-02-26 12:13:03,1,1,d3a60e4f9f00b681ae85fe183b8eeb8c.jpg,5.6,800,200,12:13:03
+1.0,2013-02-19,2013-02-19 16:30:24,1,1,bb928eaf00bca1829004262936cd420a.jpg,5.6,800,320,16:30:24
+1.0,2013-01-28,2013-01-28 12:35:30,1,1,6c2f7de4f284a3cd405ba373a88a7a2c.jpg,5.6,800,100,12:35:30
+1.0,2013-01-29,2013-01-29 16:32:52,1,1,40417252f1523700a1c3f2c1514deda5.jpg,5.6,800,800,16:32:52
+1.0,2012-04-26,2012-04-26 11:09:52,0,3,279370da3b7575d37ce6b184d9a04f34.jpg,5.6,800,400,11:09:52
+1.0,2013-02-19,2013-02-19 16:18:05,1,1,b2aa351020faf150ad26bb3c8f86da52.jpg,5.6,800,320,16:18:05
+1.0,2012-03-20,2012-03-20 12:35:04,0,3,895fe83671a0bf1e13b301c38ff6e58c.jpg,5.6,800,400,12:35:04
+1.0,2013-02-20,2013-02-20 12:04:58,1,1,ec461e0e11b65a8ca47441d52ac5bee8.jpg,5.6,800,200,12:04:58
+1.0,2012-04-03,2012-04-03 11:12:37,0,3,b5aae5cd79c21df5ac795c8a6e08b33f.jpg,5.6,800,400,11:12:37
+1.0,2012-03-20,2012-03-20 11:09:36,0,3,6843a0ea6f683c1e75eb3d5efae25a5e.jpg,5.6,800,400,11:09:36
+1.0,2013-02-20,2013-02-20 12:12:56,1,1,349deed7228f69f17bad9350e65e88de.jpg,5.6,800,160,12:12:56
+1.0,2012-04-03,2012-04-03 11:11:15,0,3,da24862e2cb28f9fba7cac2eefb1bde5.jpg,5.6,800,400,11:11:15
+1.0,2012-03-22,2012-03-22 11:06:36,0,3,b05c2d5d63d5b7ac7be7ac2996e74154.jpg,5.6,800,400,11:06:36
+1.0,2012-03-06,2012-03-06 13:28:14,0,3,d048a127de3ca22fab87e5ec9d5888a3.jpg,5.6,800,400,13:28:14
+1.0,2012-03-20,2012-03-20 13:55:56,0,3,87cc9641942f87dafdc7b307e7baf66e.jpg,5.6,800,400,13:55:56
+1.0,2012-03-20,2012-03-20 15:23:37,0,3,df27ced98a6006d7f469828c16224d62.jpg,5.6,800,400,15:23:37
+1.0,2012-04-03,2012-04-03 09:40:50,0,3,16b90136b35bec990a22e433c877d2dd.jpg,5.6,800,400,09:40:50
+1.0,2013-02-19,2013-02-19 16:28:41,1,1,fbb4114a7a819571c79851602b837e06.jpg,5.6,800,320,16:28:41
+1.0,2012-03-06,2012-03-06 13:29:25,0,3,ebbb7277d6e43af0f3adddec1d9c323e.jpg,5.6,800,400,13:29:25
+1.0,2013-01-28,2013-01-28 12:38:04,1,1,7c44795617bd29683942e7111227cf9e.jpg,5.6,800,100,12:38:04
+1.0,2012-04-03,2012-04-03 09:36:31,0,3,5e605d64be0ed5ea926c1d71f6eabd30.jpg,5.6,800,400,09:36:31
+1.0,2013-01-29,2013-01-29 12:33:12,1,1,2a4b77495a5cbf08bd74730fb83a5c31.jpg,5.6,800,100,12:33:12
+1.0,2013-02-26,2013-02-26 12:14:55,1,1,3bfe113210019a328efb0af42588a590.jpg,5.6,800,200,12:14:55
+1.0,2013-01-29,2013-01-29 12:08:22,1,1,09c50d6aa0f151d4c919bf1bb37f598a.jpg,5.6,800,100,12:08:22
+1.0,2013-01-29,2013-01-29 12:16:39,1,1,012dc88465d59e0395f2a313f272e2fc.jpg,5.6,800,100,12:16:39
+1.0,2013-02-26,2013-02-26 12:13:03,1,1,dbe421ffa027792dac3f6cc8efd509ae.jpg,5.6,800,200,12:13:03
+1.0,2013-02-26,2013-02-26 12:04:21,1,1,383d53888cd8a20ca3f99b54c5eb1d3b.jpg,5.6,800,160,12:04:21
+1.0,2012-03-13,2012-03-13 11:09:35,0,3,fece1ec4ad2601b4b83f5ddf5eb756d5.jpg,5.6,800,400,11:09:35
+1.0,2012-03-06,2012-03-06 13:29:22,0,3,10d46f1022b9a1409e40577393311f3c.jpg,5.6,800,400,13:29:22
+1.0,2013-02-26,2013-02-26 12:07:59,1,1,d83b321c130885d66e9c7386b35ac1bb.jpg,5.6,800,160,12:07:59
+1.0,2012-03-20,2012-03-20 11:08:28,0,3,867d3c615601a7984ec857820cb507de.jpg,5.6,800,400,11:08:28
+1.0,2013-02-20,2013-02-20 12:10:27,1,1,f443081140caacc33722a28eeb0ebc60.jpg,5.6,800,160,12:10:27
+1.0,2013-02-19,2013-02-19 16:34:25,1,1,273fadac56b6ea72f76bcf5eb7759c69.jpg,5.6,800,320,16:34:25
+1.0,2012-03-20,2012-03-20 12:35:52,0,3,87676a7dc19aa1b0c1c1caa9d451bcfb.jpg,5.6,800,400,12:35:52
+1.0,2012-04-03,2012-04-03 11:12:38,0,3,1e7365f7c411031405d005cfa6a5157b.jpg,5.6,800,400,11:12:38
+1.0,2013-02-26,2013-02-26 12:40:42,1,1,0f9f64119e57809ccf55e2ad19740e4d.jpg,5.6,800,200,12:40:42
+1.0,2013-02-26,2013-02-26 12:04:50,1,1,ce5d475eed5ceabbeebedffb9758a410.jpg,5.6,800,160,12:04:50
+1.0,2012-03-08,2012-03-08 12:10:15,0,3,843ad0c5e2cbdbdb607206707bbc2021.jpg,5.6,800,400,12:10:15
+1.0,2013-01-29,2013-01-29 16:34:17,1,1,a31543147f2a9490733f75e25a4dacf9.jpg,5.6,800,640,16:34:17
+1.0,2012-03-06,2012-03-06 13:27:35,0,3,1d376ef9576f1639c80f4e164057cf26.jpg,5.6,800,400,13:27:35
+1.0,2013-02-20,2013-02-20 12:22:03,1,1,9df1463cc98fe4ada654f292e92f662d.jpg,5.6,800,100,12:22:03
+1.0,2012-04-03,2012-04-03 12:33:05,0,3,582b781ccb4d3aed0b07d3045ff34d38.jpg,5.6,800,400,12:33:05
+1.0,2013-02-26,2013-02-26 12:19:05,1,1,561bc24cf383b91666b29edad86bcd4c.jpg,5.6,800,200,12:19:05
+1.0,2012-04-03,2012-04-03 12:34:09,0,3,80b926bc77ba943f3b4fe4960989422d.jpg,5.6,800,400,12:34:09
+1.0,2013-02-26,2013-02-26 12:17:29,1,1,4585912bd01efff8a8d102bd3a4bd7e8.jpg,5.6,800,200,12:17:29
+1.0,2012-03-20,2012-03-20 12:30:18,0,3,a0f841633142e986bc610ccfc4fb70e5.jpg,5.6,800,400,12:30:18
+1.0,2012-04-03,2012-04-03 09:35:33,0,3,61228c69a36c1b8b7da66e5eeec6b2bb.jpg,5.6,800,400,09:35:33
+1.0,2013-01-28,2013-01-28 12:41:56,1,1,416f440713ee3bd4167d488bf0aec543.jpg,5.6,800,100,12:41:56
+1.0,2013-01-29,2013-01-29 12:34:46,1,1,2b6418e62ec7fbe2b40e927af0188361.jpg,5.6,800,100,12:34:46
+1.0,2013-01-29,2013-01-29 16:25:45,1,1,28eb0bfe2696b8358e918d8639ec0b3a.jpg,5.6,800,400,16:25:45
+1.0,2013-01-29,2013-01-29 12:19:54,1,1,888277d003bfb719de11612fce49511a.jpg,5.6,800,100,12:19:54
+1.0,2013-02-13,2013-02-13 13:16:40,1,1,8c2ba032661e1c47b1faa6234d30bcde.jpg,5.6,800,100,13:16:40
+1.0,2012-03-22,2012-03-22 14:02:55,0,3,693fed3e3c5f01bc06e048cf58e12e49.jpg,5.6,800,400,14:02:55
+1.0,2012-03-06,2012-03-06 13:29:22,0,3,1e32633958f675ff0cc447b02c78969b.jpg,5.6,800,400,13:29:22
+1.0,2012-03-20,2012-03-20 12:30:29,0,3,14ea91fdf36212de5815a03b424047ef.jpg,5.6,800,400,12:30:29
+1.0,2013-01-28,2013-01-28 12:41:40,1,1,dd9a1c90b976970792be33cdca3b3f25.jpg,5.6,800,100,12:41:40
+1.0,2012-04-03,2012-04-03 12:34:37,0,3,feac78f300b0cccc1a2b8ad5b7e01b26.jpg,5.6,800,400,12:34:37
+1.0,2012-04-03,2012-04-03 09:44:20,0,3,49565ea97d8d9152c2a739e405009232.jpg,5.6,800,400,09:44:20
+1.0,2013-02-20,2013-02-20 12:04:31,1,1,476292a6ff3f1364453f3b7cd9198fad.jpg,5.6,800,200,12:04:31
+1.0,2012-04-03,2012-04-03 11:08:39,0,3,9d6b2ab3c92e4f3ce1ebecc22e5530fa.jpg,5.6,800,400,11:08:39
+1.0,2012-03-06,2012-03-06 13:31:21,0,3,fb4a59e2689c09cd90af08541241a0dc.jpg,5.6,800,400,13:31:21
+1.0,2012-04-03,2012-04-03 09:42:23,0,3,ba5347944934ebe5788b24119722501b.jpg,5.6,800,400,09:42:23
+1.0,2013-01-28,2013-01-28 12:34:38,1,1,a6c2507910721a556b15decc727c3498.jpg,5.6,800,100,12:34:38
+1.0,2012-04-03,2012-04-03 09:41:20,0,3,db45e6df055bcea50898c178a7e8b428.jpg,5.6,800,400,09:41:20
+1.0,2013-01-29,2013-01-29 16:34:10,1,1,a69082c931860183f5d4c32b1876d5f5.jpg,5.6,800,320,16:34:10
+1.0,2013-01-29,2013-01-29 12:33:37,1,1,b0b5a3a56c631d748b55e68a8c2bf402.jpg,5.6,800,100,12:33:37
+1.0,2012-03-22,2012-03-22 11:08:26,0,3,45e2f46b8f0b972735f9730581414661.jpg,5.6,800,400,11:08:26
+1.0,2012-03-20,2012-03-20 11:08:40,0,3,d05c780132dbb80e174b6d957029af2a.jpg,5.6,800,400,11:08:40
+1.0,2013-01-29,2013-01-29 16:27:59,1,1,271bf1658d78d742eceed7ee1bc2c6f1.jpg,5.6,800,400,16:27:59
+1.0,2013-02-26,2013-02-26 12:26:27,1,1,18907708cbb948b7301d6207b4d211e4.jpg,5.6,800,200,12:26:27
+1.0,2012-04-03,2012-04-03 09:34:57,0,3,98aca7b8a614506cae74ba326cb8b4dc.jpg,5.6,800,400,09:34:57
+1.0,2013-02-13,2013-02-13 12:17:40,1,1,fe80c6b63de7f5838a7de6b3a57b7ac3.jpg,5.6,800,100,12:17:40
+1.0,2012-03-20,2012-03-20 12:30:28,0,3,bec31660c991c185a27052b0bddf9e11.jpg,5.6,800,400,12:30:28
+1.0,2012-03-22,2012-03-22 13:58:35,0,3,7525d55a09cbf2dfe192c2382ef2ca35.jpg,5.6,800,400,13:58:35
+1.0,2012-03-22,2012-03-22 13:58:32,0,3,845baadf88cde9173db37bca4dc7edf5.jpg,5.6,800,400,13:58:32
+1.0,2012-04-03,2012-04-03 11:09:24,0,3,ed224fdf319c14c88eb3747c18a2a157.jpg,5.6,800,400,11:09:24
+1.0,2012-04-03,2012-04-03 12:35:04,0,3,a331668a127176eab9d97f322de360ae.jpg,5.6,800,400,12:35:04
+1.0,2013-02-13,2013-02-13 12:56:30,1,1,b3fa6ee627464a878945cde77051b363.jpg,5.6,800,100,12:56:30
+1.0,2012-04-24,2012-04-24 09:40:20,0,3,84c7567dd1ae76bd92cd68ccb8c371ca.jpg,5.6,800,400,09:40:20
+1.0,2013-01-28,2013-01-28 12:40:58,1,1,c89e3f98730fe9233f660355de285266.jpg,5.6,800,100,12:40:58
+1.0,2012-04-03,2012-04-03 12:34:28,0,3,3e2632de1863bbebd5ac1792ae5f5875.jpg,5.6,800,400,12:34:28
+1.0,2012-04-03,2012-04-03 12:31:15,0,3,11d20958cc24af068b3e6040794a441f.jpg,5.6,800,400,12:31:15
+1.0,2013-01-28,2013-01-28 12:33:19,1,1,c60d1016d2a38a1ac6faa605a376364a.jpg,5.6,800,100,12:33:19
+1.0,2012-03-13,2012-03-13 11:11:06,0,3,fd32c18051de0a531cd71329882ee36b.jpg,5.6,800,400,11:11:06
+1.0,2012-03-20,2012-03-20 11:06:34,0,3,ec69ae720d78ca91a0187425c2d1e763.jpg,5.6,800,400,11:06:34
+1.0,2012-03-08,2012-03-08 10:47:45,0,3,20e4633843cf9e7f2b610f2616eb2d51.jpg,5.6,800,400,10:47:45
+1.0,2012-03-13,2012-03-13 11:09:07,0,3,f29a49e53ed01189b7168ca088541495.jpg,5.6,800,400,11:09:07
+1.0,2012-03-20,2012-03-20 12:33:01,0,3,ea65e3658ab888d9eb987618f6d2adfc.jpg,5.6,800,400,12:33:01
+1.0,2012-03-22,2012-03-22 11:07:51,0,3,0037a2983f1128042d116f55c77b9075.jpg,5.6,800,400,11:07:51
+1.0,2013-02-26,2013-02-26 12:17:30,1,1,bbd445a56b82b97e7933d25016e9baac.jpg,5.6,800,200,12:17:30
+1.0,2012-03-20,2012-03-20 09:45:27,0,3,7857adb5185444f05c5f33ddfc48f651.jpg,5.6,800,400,09:45:27
+1.0,2012-04-03,2012-04-03 12:34:40,0,3,559967001b3ce78cc4adc709d00897af.jpg,5.6,800,400,12:34:40
+1.0,2013-01-28,2013-01-28 12:42:19,1,1,1ad3374171248af5955a13d7ed7a42e5.jpg,5.6,800,100,12:42:19
+1.0,2012-03-20,2012-03-20 12:36:54,0,3,f9850095d7f039d1df3f553e9e4a20a4.jpg,5.6,800,400,12:36:54
+1.0,2013-02-20,2013-02-20 12:25:57,1,1,10bd3e185421368a2d323e128560edb0.jpg,5.6,800,100,12:25:57
+1.0,2013-01-29,2013-01-29 16:26:07,1,1,9b16ba93afd60a2a9b4b78e9f74ca402.jpg,5.6,800,320,16:26:07
+1.0,2013-02-19,2013-02-19 16:30:23,1,1,c9e219fa062cd100db62c8386e223169.jpg,5.6,800,320,16:30:23
+1.0,2012-04-03,2012-04-03 11:12:22,0,3,be347783cb2e074c4321f4dfe7d6f754.jpg,5.6,800,400,11:12:22
+1.0,2013-01-28,2013-01-28 12:35:29,1,1,9e5f4eb65a9af2bb34c0ea5e3921acbf.jpg,5.6,800,100,12:35:29
+1.0,2013-01-28,2013-01-28 12:38:46,1,1,209131b4748237f17ed553bb061187cb.jpg,5.6,800,100,12:38:46
+1.0,2012-03-20,2012-03-20 13:58:27,0,3,db40e68288dc97c1d2706858bfbe8efe.jpg,5.6,800,400,13:58:27
+1.0,2013-01-29,2013-01-29 12:09:21,1,1,c9b6ac6134dc73b987b67948447ad9d7.jpg,5.6,800,100,12:09:21
+1.0,2012-03-20,2012-03-20 15:24:02,0,3,1342a1a0ef43be1b6f1255185ae4aea2.jpg,5.6,800,400,15:24:02
+1.0,2012-04-03,2012-04-03 11:11:32,0,3,b76bc5260228f1eb5d560a70d2fd6f37.jpg,5.6,800,400,11:11:32
+1.0,2012-03-08,2012-03-08 12:10:27,0,3,46773cdd9fcc38565338e198560d2247.jpg,5.6,800,400,12:10:27
+1.0,2013-02-20,2013-02-20 12:25:09,1,1,91cbe85646a647df878707fce9bc5218.jpg,5.6,800,100,12:25:09
+1.0,2012-03-22,2012-03-22 14:03:01,0,3,44a72c754c33e5e1cd622bf7a24c96bf.jpg,5.6,800,400,14:03:01
+1.0,2013-02-13,2013-02-13 13:12:03,1,1,a3308e66e189da59479bc0a37dfde325.jpg,5.6,800,100,13:12:03
+1.0,2013-01-29,2013-01-29 16:32:25,1,1,96bc412bd4b3119aeb1e12b4d0a5b98e.jpg,5.6,800,500,16:32:25
+1.0,2012-03-20,2012-03-20 13:56:31,0,3,2620c8689e4a90539e49ad26325af251.jpg,5.6,800,400,13:56:31
+1.0,2013-01-29,2013-01-29 16:34:29,1,1,d21c630a9fba69c98fb8b10eba4be20e.jpg,5.6,800,500,16:34:29
+1.0,2012-04-03,2012-04-03 09:35:53,0,3,cd84cbe2f04274cc1574751ec4ce2816.jpg,5.6,800,400,09:35:53
+1.0,2013-02-13,2013-02-13 12:34:46,1,1,a6301e91ac48e0ce29372ddeebb3aa88.jpg,5.6,800,100,12:34:46
+1.0,2012-03-06,2012-03-06 13:29:01,0,3,cc36e5a114551e34531c9190f75dce73.jpg,5.6,800,400,13:29:01
+1.0,2013-02-13,2013-02-13 13:28:58,1,1,8f37d367cde8cfd4e62ef87e0da879bc.jpg,5.6,800,100,13:28:58
+1.0,2013-02-26,2013-02-26 12:26:26,1,1,024d1afac10edede866c624273aba60a.jpg,5.6,800,200,12:26:26
+1.0,2012-03-20,2012-03-20 13:56:55,0,3,327e5de837530d5b11235efa4a37cc1b.jpg,5.6,800,400,13:56:55
+1.0,2013-02-26,2013-02-26 12:17:21,1,1,f3546edbfb7409cdec118ed408007195.jpg,5.6,800,200,12:17:21
+1.0,2012-03-13,2012-03-13 11:09:38,0,3,55bdcf968425300673ca199fae6b870c.jpg,5.6,800,400,11:09:38
+1.0,2013-01-29,2013-01-29 16:32:38,1,1,1d7192e5e88cb6a334b63f784f1bf424.jpg,5.6,800,250,16:32:38
+1.0,2012-04-03,2012-04-03 09:44:25,0,3,e2504f9f26207c4bb8952f0df37dc7a2.jpg,5.6,800,400,09:44:25
+1.0,2013-02-26,2013-02-26 12:17:33,1,1,694ab9bdf1b6467c8250f0bc8079216a.jpg,5.6,800,250,12:17:33
+1.0,2013-02-20,2013-02-20 12:23:53,1,1,6b8d5eed6f55767a231706a1de0ca392.jpg,5.6,800,100,12:23:53
+1.0,2012-03-20,2012-03-20 11:06:37,0,3,58f960dd707b90aaf1c9514fb17aac4a.jpg,5.6,800,400,11:06:37
+1.0,2013-01-29,2013-01-29 12:14:28,1,1,6cbf8ce73ab42d766b6fcaee9817455f.jpg,5.6,800,100,12:14:28
+1.0,2012-04-03,2012-04-03 12:33:41,0,3,89f8ea8df5326bcb6d915e97670954e4.jpg,5.6,800,400,12:33:41
+1.0,2013-02-20,2013-02-20 12:05:07,1,1,e252d2996de441ee255594cd2f45ffc9.jpg,5.6,800,160,12:05:07
+1.0,2013-02-13,2013-02-13 13:16:34,1,1,54751252f61f0f29bdfc1925bf1022de.jpg,5.6,800,100,13:16:34
+1.0,2012-03-22,2012-03-22 11:04:02,0,3,6c9b3a8cc2ea1b38d1f5fb17ee72a1f0.jpg,5.6,800,400,11:04:02
+1.0,2012-03-08,2012-03-08 14:53:37,0,3,534629132ee9b1d4243be4c85bce7a13.jpg,5.6,800,400,14:53:37
+1.0,2012-04-03,2012-04-03 11:11:09,0,3,0a165f4d385134ab2e1957b7ff0c210b.jpg,5.6,800,400,11:11:09
+1.0,2013-01-29,2013-01-29 12:10:38,1,1,f9ae086bfa7de46b219211ec5cf66c71.jpg,5.6,800,100,12:10:38
+1.0,2013-02-26,2013-02-26 12:45:11,1,1,e733349b52a7641360da5df2c9e43f8f.jpg,5.6,800,200,12:45:11
+1.0,2012-04-03,2012-04-03 09:35:07,0,3,0748cecef74d211e1d67c850adda0466.jpg,5.6,800,400,09:35:07
+1.0,2012-02-23,2012-02-23 14:58:29,0,3,d1b0db83f281d746b2c746bc411f069d.jpg,5.6,800,400,14:58:29
+1.0,2013-01-28,2013-01-28 12:34:05,1,1,2ea93566fa4336e87a64c1ccf801ed77.jpg,5.6,800,100,12:34:05
+1.0,2012-03-22,2012-03-22 11:09:41,0,3,b1c8188f7a0eadbb93d8b7aac5fa0d93.jpg,5.6,800,400,11:09:41
+1.0,2013-02-13,2013-02-13 12:48:50,1,1,9860bce3fc76138daf8f5403e3a20b9a.jpg,5.6,800,100,12:48:50
+1.0,2013-02-13,2013-02-13 13:17:29,1,1,8573f79357774e0287a7d1d0c908018c.jpg,5.6,800,100,13:17:29
+1.0,2012-04-24,2012-04-24 11:05:48,0,3,925925903ab24fa440032e14c506c809.jpg,5.6,800,400,11:05:48
+1.0,2012-03-08,2012-03-08 10:45:26,0,3,60c0f3339ace423e3008fbcd073d400f.jpg,5.6,800,400,10:45:26
+1.0,2013-01-28,2013-01-28 12:38:30,1,1,74500a3bd2ddf54c321acc33324ad62a.jpg,5.6,800,100,12:38:30
+1.0,2012-03-20,2012-03-20 12:34:53,0,3,e21844d5c27f88e9dcc34cd3e006e082.jpg,5.6,800,400,12:34:53
+1.0,2012-03-20,2012-03-20 09:41:11,0,3,b5b7ecffb75d89612f7ccea7766e1d3a.jpg,5.6,800,400,09:41:11
+1.0,2013-01-29,2013-01-29 16:31:26,1,1,0f7b86056d042602df0d0fc3614f6326.jpg,5.6,800,250,16:31:26
+1.0,2012-03-20,2012-03-20 13:56:24,0,3,fb5aecbf911240110fad22c3c2485af0.jpg,5.6,800,400,13:56:24
+1.0,2012-03-08,2012-03-08 10:45:21,0,3,ba20b3c48e33a6245e3cc485ffbcadab.jpg,5.6,800,400,10:45:21
+1.0,2013-02-20,2013-02-20 12:25:26,1,1,930ee8eb96f45a2d883efceedb9b27f2.jpg,5.6,800,100,12:25:26
+1.0,2013-01-28,2013-01-28 12:40:18,1,1,52b836ecae8943723e1c3f02ad90653d.jpg,5.6,800,100,12:40:18
+1.0,2012-04-03,2012-04-03 11:07:45,0,3,8db3fb1483b00ce3e9ef8e1f7777f65b.jpg,5.6,800,400,11:07:45
+1.0,2013-01-28,2013-01-28 12:37:57,1,1,8c1a799245419bd297c9048e80b33449.jpg,5.6,800,100,12:37:57
+1.0,2013-01-29,2013-01-29 16:22:40,1,1,8cda20433b91d2b2efc1e951656ad613.jpg,5.6,800,400,16:22:40
+1.0,2012-04-03,2012-04-03 09:38:52,0,3,bdea6b936875a45f085aeb9e18c38e54.jpg,5.6,800,400,09:38:52
+1.0,2012-04-03,2012-04-03 11:06:46,0,3,857c5c2c95ac63d307f8a45bae721018.jpg,5.6,800,400,11:06:46
+1.0,2013-02-13,2013-02-13 12:59:46,1,1,2d91ff5cca74c97a92d90784008d404b.jpg,5.6,800,100,12:59:46
+1.0,2012-04-17,2012-04-17 12:28:25,0,3,36c309b5b83d6e2f2b0d3d66efffd76a.jpg,5.6,800,400,12:28:25
+1.0,2012-04-03,2012-04-03 11:07:49,0,3,dc0c4d5747e443161ac225f3fc6882cc.jpg,5.6,800,400,11:07:49
+1.0,2012-03-22,2012-03-22 11:06:33,0,3,9e66e1e7ce882d38bea79b517dd05df7.jpg,5.6,800,400,11:06:33
+1.0,2013-02-26,2013-02-26 12:25:37,1,1,2620f5b5050b5ec41014253cf1bb2591.jpg,5.6,800,200,12:25:37
+1.0,2013-02-13,2013-02-13 12:17:03,1,1,6fd843d005d81a7a8308b63f8bbe966f.jpg,5.6,800,100,12:17:03
+1.0,2012-03-20,2012-03-20 11:06:04,0,3,61571ba8337381c4810988175aab1ccb.jpg,5.6,800,400,11:06:04
+1.0,2013-02-20,2013-02-20 12:34:17,1,1,dd41c682527aa421a2e75c1e99cedc37.jpg,5.6,800,125,12:34:17
+1.0,2012-03-20,2012-03-20 12:30:17,0,3,14de5dcc655189bb75b2a2098ae644bb.jpg,5.6,800,400,12:30:17
+1.0,2013-02-13,2013-02-13 13:12:36,1,1,e482c9add097f8b5045bd468f11f2974.jpg,5.6,800,100,13:12:36
+1.0,2012-03-06,2012-03-06 13:27:38,0,3,4a71a125f1ea21762b13deca8e034d2a.jpg,5.6,800,400,13:27:38
+1.0,2012-03-06,2012-03-06 13:29:11,0,3,41a8094b88ee47c2f2189941a78dca2c.jpg,5.6,800,400,13:29:11
+1.0,2013-02-20,2013-02-20 12:42:49,1,1,516a5c1594e172cbaa4f3201bb824c64.jpg,5.6,800,100,12:42:49
+1.0,2013-01-29,2013-01-29 16:24:04,1,1,844ee8480b1e8bff759c84d4e2e3e96c.jpg,5.6,800,400,16:24:04
+1.0,2013-01-29,2013-01-29 12:07:48,1,1,b3ae26c2f637abfa3546d0c2235dac68.jpg,5.6,800,100,12:07:48
+1.0,2012-04-03,2012-04-03 09:43:46,0,3,c033b4323c85eeabea6fb1c230b98aa3.jpg,5.6,800,400,09:43:46
+1.0,2013-02-20,2013-02-20 12:01:55,1,1,33cd8cc8ddff169d0ba7327bdf3bed7b.jpg,5.6,800,200,12:01:55
+1.0,2012-03-20,2012-03-20 09:46:28,0,3,e9be1b6f6434fdeaddfd8d6fcec4aa33.jpg,5.6,800,400,09:46:28
+1.0,2012-04-03,2012-04-03 09:39:52,0,3,404a4dbec3e137220a1e85acc83d744d.jpg,5.6,800,400,09:39:52
+1.0,2012-03-20,2012-03-20 12:36:56,0,3,b8a2b20bd7ad0b29124c13f2e4ae0748.jpg,5.6,800,400,12:36:56
+1.0,2012-04-12,2012-04-12 14:01:17,0,3,ce0b975b62bb6bc443409326e137ab79.jpg,5.6,800,400,14:01:17
+1.0,2013-02-19,2013-02-19 16:25:53,1,1,a052a884ae420961f6317187094b574a.jpg,5.6,800,320,16:25:53
+1.0,2013-01-28,2013-01-28 12:35:34,1,1,3c079a7718461b63f2414ad8a4a3510a.jpg,5.6,800,100,12:35:34
+1.0,2012-03-20,2012-03-20 09:43:45,0,3,f7dfc5820b095f8cc238763bc49e9e4e.jpg,5.6,800,400,09:43:45
+1.0,2012-03-20,2012-03-20 11:05:34,0,3,4fcf60eb985e7a1811fef6d45284cfa9.jpg,5.6,800,400,11:05:34
+1.0,2012-03-20,2012-03-20 12:35:56,0,3,48582d949cb6be874d765e0ec5a91f84.jpg,5.6,800,400,12:35:56
+1.0,2013-02-20,2013-02-20 12:26:13,1,1,e85f2a2a26fd195d70eb253cb311d737.jpg,5.6,800,100,12:26:13
+1.0,2012-04-03,2012-04-03 09:41:06,0,3,cfd0bff737318dc33853d700cf2912f7.jpg,5.6,800,400,09:41:06
+1.0,2012-03-20,2012-03-20 12:32:15,0,3,00f301277f57cb2bed3323eaf918e136.jpg,5.6,800,400,12:32:15
+1.0,2013-01-28,2013-01-28 12:34:11,1,1,ef2bda3f2e0e5ce4ba7531080b80c053.jpg,5.6,800,100,12:34:11
+1.0,2013-01-28,2013-01-28 12:38:03,1,1,eb641dee0cb6d6a694ec37dde365ef61.jpg,5.6,800,100,12:38:03
+1.0,2012-04-03,2012-04-03 09:42:28,0,3,f8356fc59352fb3028245bd3671119e3.jpg,5.6,800,400,09:42:28
+1.0,2013-02-20,2013-02-20 12:23:52,1,1,0cf62551611b156e8e1b9fd28a9ab284.jpg,5.6,800,100,12:23:52
+1.0,2012-03-20,2012-03-20 09:45:02,0,3,44a806718ddf15cc7e1aec6e5d3048a2.jpg,5.6,800,400,09:45:02
+1.0,2013-02-26,2013-02-26 12:15:18,1,1,355c0a7d220290a3f356f0c63d9dabd1.jpg,5.6,800,200,12:15:18
+1.0,2013-02-13,2013-02-13 12:15:39,1,1,fe24449c86800bb08b1c8680a3fc35b1.jpg,5.6,800,100,12:15:39
+1.0,2012-03-06,2012-03-06 13:27:41,0,3,3bd64434d80c193a781e976e7bbe986e.jpg,5.6,800,400,13:27:41
+1.0,2013-02-20,2013-02-20 12:07:34,1,1,3083a75c49a4b4b0ff3e0db1b9c0f2af.jpg,5.6,800,200,12:07:34
+1.0,2012-04-03,2012-04-03 11:11:56,0,3,c90ac97f20e68b9c565c3e7058e9f28c.jpg,5.6,800,400,11:11:56
+1.0,2013-02-20,2013-02-20 12:44:30,1,1,f0f2d141487fdb648072407d76347b1e.jpg,5.6,800,100,12:44:30
+1.0,2013-01-29,2013-01-29 16:24:43,1,1,d4baf4217e24bb7a8d3a971f7ac60117.jpg,5.6,800,250,16:24:43
+1.0,2012-04-03,2012-04-03 09:37:50,0,3,d807ec3a2ea437e64ec1d9c9d66cd72c.jpg,5.6,800,400,09:37:50
+1.0,2013-01-29,2013-01-29 12:33:17,1,1,f55877aa8723b76f3ddc7c7658254f3b.jpg,5.6,800,100,12:33:17
+1.0,2012-03-08,2012-03-08 14:56:45,0,3,92b87f1a65752300a57257d3563acce7.jpg,5.6,800,400,14:56:45
+1.0,2012-04-03,2012-04-03 09:43:18,0,3,d9560d98db900bf19781b32c464971ae.jpg,5.6,800,400,09:43:18
+1.0,2013-02-20,2013-02-20 12:28:53,1,1,868e8a65ac10569dc6a792bf60fff8a5.jpg,5.6,800,100,12:28:53
+1.0,2012-04-03,2012-04-03 11:08:49,0,3,9855e8b3d80813af03d10940d1eea926.jpg,5.6,800,400,11:08:49
+1.0,2012-03-06,2012-03-06 13:28:20,0,3,de0d9a61d46b84f65d3204042319cda4.jpg,5.6,800,400,13:28:20
+1.0,2013-01-28,2013-01-28 12:37:13,1,1,01bfb88cc6b51563c7ec8ffb28f4f4f6.jpg,5.6,800,100,12:37:13
+1.0,2013-02-19,2013-02-19 16:28:56,1,1,4fc96021802bbbcc6aaa8f7d72121b25.jpg,5.6,800,320,16:28:56
+1.0,2013-01-29,2013-01-29 12:31:19,1,1,e9e8802e05d12aa9c3c9fb0bf8d4cdca.jpg,5.6,800,100,12:31:19
+1.0,2013-01-28,2013-01-28 12:33:20,1,1,ddd57428bcb97fe9b9463550e6a6432b.jpg,5.6,800,100,12:33:20
+1.0,2012-03-20,2012-03-20 11:07:53,0,3,2fe9b6dd2e02bf5fc229b2406eb36f67.jpg,5.6,800,400,11:07:53
+1.0,2012-03-20,2012-03-20 11:08:25,0,3,c68183ee41800f7d661ae511ea159c89.jpg,5.6,800,400,11:08:25
+1.0,2013-02-26,2013-02-26 12:33:07,1,1,0fcb6e19ea43080a3441eb450211dc18.jpg,5.6,800,200,12:33:07
+1.0,2013-02-20,2013-02-20 12:07:59,1,1,b8b9abc0a2f21b9972092815f29bf8fb.jpg,5.6,800,250,12:07:59
+1.0,2013-01-28,2013-01-28 12:33:37,1,1,ca0f9416e6ba152cf24c851426fb99d2.jpg,5.6,800,100,12:33:37
+1.0,2012-03-13,2012-03-13 11:12:19,0,3,3fe6db0b5b2d8fb24b400c014c1b44c7.jpg,5.6,800,400,11:12:19
+1.0,2013-01-29,2013-01-29 16:22:14,1,1,5790f2275c88f4c2ca6c0ac0cfd4c4c2.jpg,5.6,800,320,16:22:14
+1.0,2013-01-29,2013-01-29 16:34:15,1,1,5ef37df8c4128613dd62885728d0b2c2.jpg,5.6,800,400,16:34:15
+1.0,2013-01-28,2013-01-28 12:38:02,1,1,95b2790e55b31b43890f7c9462fc4d83.jpg,5.6,800,100,12:38:02
+1.0,2012-03-08,2012-03-08 10:46:57,0,3,56a47abcd67c521acb5fa759bb2363f2.jpg,5.6,800,400,10:46:57
+1.0,2012-03-08,2012-03-08 10:47:45,0,3,7aca9118cdf8fbd74855f6f856ad540b.jpg,5.6,800,400,10:47:45
+1.0,2013-01-28,2013-01-28 12:38:30,1,1,734a02476b3f3c0ad30ef14128ca307e.jpg,5.6,800,100,12:38:30
+1.0,2012-03-20,2012-03-20 13:57:34,0,3,637f25f140db3f05e5c2acfa98b30bdb.jpg,5.6,800,400,13:57:34
+1.0,2013-01-29,2013-01-29 12:21:03,1,1,5ae2d631637fe3fe87f1ba93e71a5bca.jpg,5.6,800,100,12:21:03
+1.0,2012-04-03,2012-04-03 09:38:18,0,3,2654a203a5431508d848e7fc08fdf374.jpg,5.6,800,400,09:38:18
+1.0,2012-04-03,2012-04-03 11:11:36,0,3,6aabc85a84b1c7faaeea6e8133f21f69.jpg,5.6,800,400,11:11:36
+1.0,2013-02-13,2013-02-13 13:15:30,1,1,08fcd2a056957935e4707a1806ff71ea.jpg,5.6,800,125,13:15:30
+1.0,2013-02-20,2013-02-20 12:03:08,1,1,80d5c0b2c006272e757fea0a20aaaf55.jpg,5.6,800,160,12:03:08
+1.0,2013-01-28,2013-01-28 12:35:31,1,1,2e04669166ca6d87a00aa8c1d67d12e0.jpg,5.6,800,100,12:35:31
+1.0,2012-04-03,2012-04-03 09:36:22,0,3,2de28d73d9083f00d198395f75e4b180.jpg,5.6,800,400,09:36:22
+1.0,2012-04-03,2012-04-03 11:12:17,0,3,d3dc4862a0418182266ea008e9edcba4.jpg,5.6,800,400,11:12:17
+1.0,2013-02-26,2013-02-26 12:05:07,1,1,f3628e6dca5dc43739527ff3e50f8736.jpg,5.6,800,160,12:05:07
+1.0,2012-03-20,2012-03-20 09:42:22,0,3,f52566189a677d18fd32ca9140218239.jpg,5.6,800,400,09:42:22
+1.0,2013-01-29,2013-01-29 12:20:05,1,1,74daf3986ccb1542aaeece2b930f350e.jpg,5.6,800,100,12:20:05
+1.0,2012-03-13,2012-03-13 11:09:40,0,3,13d1e2a127486a1b46f3fd0820159ae6.jpg,5.6,800,400,11:09:40
+1.0,2013-02-13,2013-02-13 12:19:19,1,1,d13c168454a03c62c8639e64932e5880.jpg,5.6,800,100,12:19:19
+1.0,2012-04-03,2012-04-03 11:12:42,0,3,928d39502d0a8ba321acf3e6a4729bd0.jpg,5.6,800,400,11:12:42
+1.0,2013-01-29,2013-01-29 16:30:55,1,1,84c4104a3a3b51f3169b998342fcd359.jpg,5.6,800,320,16:30:55
+1.0,2013-01-29,2013-01-29 16:34:28,1,1,9f5698c328223ad88c34a3ab27b70e7b.jpg,5.6,800,800,16:34:28
+1.0,2012-04-03,2012-04-03 09:43:22,0,3,68e5af94383cb17b43048813fb1b56c3.jpg,5.6,800,400,09:43:22
+1.0,2013-01-29,2013-01-29 12:33:53,1,1,f384d0f06425f0e44f2844b50965e148.jpg,5.6,800,100,12:33:53
+1.0,2013-02-20,2013-02-20 12:08:00,1,1,61c744c184e4c61ffeff74475af3a30b.jpg,5.6,800,200,12:08:00
+1.0,2013-02-20,2013-02-20 12:25:46,1,1,4328a8a096e42ad2113db755f1b4cf78.jpg,5.6,800,100,12:25:46
+1.0,2013-02-20,2013-02-20 12:03:11,1,1,e7573ed2e7f344263497f24301375985.jpg,5.6,800,160,12:03:11
+1.0,2012-02-23,2012-02-23 14:56:51,0,3,e3ff78e0de45cdaa85611d1fd43f47ed.jpg,5.6,800,400,14:56:51
+1.0,2013-02-13,2013-02-13 12:32:52,1,1,f2243d4a4d9ad253734c4287d7cbc6a6.jpg,5.6,800,100,12:32:52
+1.0,2013-02-19,2013-02-19 16:34:19,1,1,b03d02a18b720923d3d649f7c1c85ee3.jpg,5.6,800,320,16:34:19
+1.0,2013-02-13,2013-02-13 12:14:21,1,1,944034519b5e66af725386dd5abfb4c3.jpg,5.6,800,100,12:14:21
+1.0,2013-02-20,2013-02-20 12:26:18,1,1,fecec820f3fe1c95f0a2c3ce702b2892.jpg,5.6,800,100,12:26:18
+1.0,2013-02-20,2013-02-20 12:44:49,1,1,acd9f19acc8c12243897b285ff4b1d83.jpg,5.6,800,100,12:44:49
+1.0,2012-03-22,2012-03-22 11:04:49,0,3,471e1b2eeedaaac428dc9037bb3f2d48.jpg,5.6,800,400,11:04:49
+1.0,2013-02-13,2013-02-13 12:02:50,1,1,f295ce395f7c0800bc2a3e4b54930801.jpg,5.6,800,100,12:02:50
+1.0,2013-01-29,2013-01-29 12:27:33,1,1,20c69104a5f0d71e89a0d5ac4d6bb4e0.jpg,5.6,800,100,12:27:33
+1.0,2013-02-26,2013-02-26 12:32:14,1,1,0ecaf86a4a817ea3613507df85af7e17.jpg,5.6,800,200,12:32:14
+1.0,2012-04-03,2012-04-03 09:44:34,0,3,413b617d40a51c37aede614457cfc5aa.jpg,5.6,800,400,09:44:34
+1.0,2013-01-29,2013-01-29 16:34:57,1,1,46f6196024c665a2f0f3050bfcb21a17.jpg,5.6,800,320,16:34:57
+1.0,2012-03-20,2012-03-20 12:32:06,0,3,da4764f883a6ea9e93022ba5d9d01b30.jpg,5.6,800,400,12:32:06
+1.0,2012-04-24,2012-04-24 11:08:45,0,3,94d399b3a8244b9ef74edd62d785fc0d.jpg,5.6,800,400,11:08:45
+1.0,2013-02-19,2013-02-19 16:27:23,1,1,4943b60200aa074264fade4b6d528107.jpg,5.6,800,320,16:27:23
+1.0,2013-02-26,2013-02-26 12:10:22,1,1,24892c4b57652a3236e4b00f85f6f852.jpg,5.6,800,200,12:10:22
+1.0,2013-02-13,2013-02-13 12:13:25,1,1,a0a24a1f2f445891ccd778d8248302fe.jpg,5.6,800,100,12:13:25
+1.0,2013-01-29,2013-01-29 12:10:58,1,1,a08a861aa51629f451be95f58c13bd93.jpg,5.6,800,100,12:10:58
+1.0,2012-03-20,2012-03-20 12:30:21,0,3,2860f7754622583d1df2ac41656fa55e.jpg,5.6,800,400,12:30:21
+1.0,2013-02-13,2013-02-13 12:18:10,1,1,f3383155402bb4d82c6cda180f75bac3.jpg,5.6,800,100,12:18:10
+1.0,2012-03-20,2012-03-20 13:59:37,0,3,9b3ecdc4c260506aa237d57532f5412d.jpg,5.6,800,400,13:59:37
+1.0,2013-02-19,2013-02-19 16:29:01,1,1,fee8279525680ead1ae56df2f69afeb9.jpg,5.6,800,320,16:29:01
+1.0,2013-02-20,2013-02-20 12:04:19,1,1,1663b9e3135c814456cfa496b7390653.jpg,5.6,800,160,12:04:19
+1.0,2013-02-19,2013-02-19 16:31:06,1,1,6a7019d10aa82e961d7c1496e9b915c7.jpg,5.6,800,320,16:31:06
+1.0,2012-03-22,2012-03-22 11:05:59,0,3,4fec09bb32822a381702eb7df194ef12.jpg,5.6,800,400,11:05:59
+1.0,2012-03-20,2012-03-20 13:55:59,0,3,a2d0fe011d5faa55fb717034b317b79b.jpg,5.6,800,400,13:55:59
+1.0,2013-01-29,2013-01-29 16:29:27,1,1,7f2f2251cff67db4a87642e1328165f3.jpg,5.6,800,400,16:29:27
+1.0,2012-03-06,2012-03-06 13:30:24,0,3,fc646f2d8b635e6841a81652854202d3.jpg,5.6,800,400,13:30:24
+1.0,2012-04-03,2012-04-03 11:12:01,0,3,372bd8e6e9eb8d1b3e259185352f22cb.jpg,5.6,800,400,11:12:01
+1.0,2013-01-28,2013-01-28 12:33:31,1,1,1df193d4252cf0c35eddc7e27696c189.jpg,5.6,800,100,12:33:31
+1.0,2013-01-28,2013-01-28 12:36:17,1,1,6e5d793bd14f8450f118e93ac07b4a63.jpg,5.6,800,100,12:36:17
+1.0,2013-01-29,2013-01-29 12:34:29,1,1,68c77ff061aa588fc53d94d9f814e36b.jpg,5.6,800,100,12:34:29
+1.0,2013-02-26,2013-02-26 12:12:29,1,1,460b80d5fb24791e44be32df875488b4.jpg,5.6,800,160,12:12:29
+1.0,2012-04-03,2012-04-03 09:38:04,0,3,ebb5799a334ed51a6b08499aa7d7c9dc.jpg,5.6,800,400,09:38:04
+1.0,2013-02-26,2013-02-26 12:10:47,1,1,f141d12252c74ef57659c7a49740097b.jpg,5.6,800,160,12:10:47
+1.0,2012-03-20,2012-03-20 15:24:43,0,3,36ae4be7e17293c4e2d57d0d2e01aadb.jpg,5.6,800,400,15:24:43
+1.0,2012-03-22,2012-03-22 11:06:48,0,3,fe890fc1eb407f48440b745e6842cf24.jpg,5.6,800,400,11:06:48
+1.0,2012-04-03,2012-04-03 11:09:11,0,3,ecf71c5e9286f337d77d509c20292224.jpg,5.6,800,400,11:09:11
+1.0,2012-04-03,2012-04-03 09:35:09,0,3,1dd56dc161fb774a7e2016cc7a588f95.jpg,5.6,800,400,09:35:09
+1.0,2012-03-08,2012-03-08 14:53:38,0,3,a5774ed4e0749844cdfa7ecf48b6d4ae.jpg,5.6,800,400,14:53:38
+1.0,2012-03-08,2012-03-08 12:13:18,0,3,da0b9fb05fdf50a4429cd14c289e2348.jpg,5.6,800,400,12:13:18
+1.0,2013-02-26,2013-02-26 12:14:29,1,1,d086c06cc4211ef8ada8b77807b470a7.jpg,5.6,800,200,12:14:29
+1.0,2013-02-19,2013-02-19 16:23:33,1,1,a0233a976d71d405c2dd0c8206e5ed84.jpg,5.6,800,320,16:23:33
+1.0,2013-02-20,2013-02-20 12:20:17,1,1,eb15d1dfe789d49d9b381c3c7a9806ad.jpg,5.6,800,100,12:20:17
+1.0,2013-01-28,2013-01-28 12:36:13,1,1,f787db8affcb85879139582926813699.jpg,5.6,800,100,12:36:13
+1.0,2013-01-29,2013-01-29 12:33:33,1,1,4d0e7d68706f9866c4dcc0e6b4af97b7.jpg,5.6,800,100,12:33:33
+1.0,2012-04-03,2012-04-03 09:41:18,0,3,99f9d89123e51724e7a84d1de9963ce2.jpg,5.6,800,400,09:41:18
+1.0,2013-01-29,2013-01-29 16:22:02,1,1,4825ec39fc34558a00bd94ad888d9d4d.jpg,5.6,800,250,16:22:02
+1.0,2013-02-26,2013-02-26 12:04:19,1,1,c235d3d18477189b14c0fe11a7d7e852.jpg,5.6,800,160,12:04:19
+1.0,2012-03-06,2012-03-06 13:32:01,0,3,00b70e62b5b9985b022340092be41528.jpg,5.6,800,400,13:32:01
+1.0,2012-03-08,2012-03-08 14:54:08,0,3,728fdb150da40c622c931bf9ec976b9a.jpg,5.6,800,400,14:54:08
+1.0,2012-04-03,2012-04-03 11:08:30,0,3,ba93cb6d19008fb9d9a8880de5b34041.jpg,5.6,800,400,11:08:30
+1.0,2013-02-26,2013-02-26 12:15:38,1,1,3faeec9bbd1f8f8e30b2959077396b46.jpg,5.6,800,200,12:15:38
+1.0,2013-01-28,2013-01-28 12:36:16,1,1,c16b7aeb224fc4c74e90e9ae3655a739.jpg,5.6,800,100,12:36:16
+1.0,2012-04-03,2012-04-03 11:11:22,0,3,eeb462efc925e26fb36dcadffc97e771.jpg,5.6,800,400,11:11:22
+1.0,2013-01-29,2013-01-29 12:27:29,1,1,022e02ede4ecef86eb4c603ba3ffb42e.jpg,5.6,800,100,12:27:29
+1.0,2013-02-19,2013-02-19 16:26:26,1,1,20a537176f688297cc65408d11e39cc5.jpg,5.6,800,320,16:26:26
+1.0,2013-02-13,2013-02-13 12:20:14,1,1,3c53994732ee3833bbd81ba4ccdb46b7.jpg,5.6,800,100,12:20:14
+1.0,2012-04-03,2012-04-03 11:13:00,0,3,c494437676399567c6bf082be3aa2296.jpg,5.6,800,400,11:13:00
+1.0,2013-02-13,2013-02-13 13:25:30,1,1,de91e6bd458959df58c3209a601a2bcb.jpg,5.6,800,125,13:25:30
+1.0,2012-03-20,2012-03-20 09:40:32,0,3,b47641f47be516f0f2287fe1f8b9f970.jpg,5.6,800,400,09:40:32
+1.0,2013-01-28,2013-01-28 12:36:09,1,1,ae70dd40e389622b0ea756fc3f1945cd.jpg,5.6,800,100,12:36:09
+1.0,2013-02-26,2013-02-26 12:45:03,1,1,78d42832263ddc3331e645e6d6246767.jpg,5.6,800,200,12:45:03
+1.0,2013-01-28,2013-01-28 12:34:01,1,1,6aff431a2ae743c81410c30fc2c477b9.jpg,5.6,800,100,12:34:01
+1.0,2012-04-03,2012-04-03 09:41:01,0,3,fa102956571acfdcf17653da6025a17d.jpg,5.6,800,400,09:41:01
+1.0,2013-01-29,2013-01-29 12:09:03,1,1,658fd113e56d1931b6e64f406d340bca.jpg,5.6,800,100,12:09:03
+1.0,2012-04-03,2012-04-03 09:38:06,0,3,f73222782761280018d67d714aa24e63.jpg,5.6,800,400,09:38:06
+1.0,2012-03-06,2012-03-06 13:30:19,0,3,dac03b81a305a50a897bfe558bb36296.jpg,5.6,800,400,13:30:19
+1.0,2013-02-13,2013-02-13 12:21:20,1,1,fa8b0128e2464dc85475f1f87c97b29d.jpg,5.6,800,100,12:21:20
+1.0,2013-02-13,2013-02-13 12:10:04,1,1,1d19c4c50a112d56f4767688d41b752a.jpg,5.6,800,100,12:10:04
+1.0,2013-01-28,2013-01-28 12:34:06,1,1,ec6a88223ff4d53aa4626b98f58565f6.jpg,5.6,800,100,12:34:06
+1.0,2013-02-13,2013-02-13 13:23:15,1,1,b6a9e39a63a464197b3c472ace6c24c5.jpg,5.6,800,100,13:23:15
+1.0,2012-04-03,2012-04-03 09:37:51,0,3,171d9c8e67941e9ebae5d3075e912e2d.jpg,5.6,800,400,09:37:51
+1.0,2012-04-17,2012-04-17 12:32:56,0,3,fa3dd2bc8ec5c97427bee8d9c4af2651.jpg,5.6,800,400,12:32:56
+1.0,2012-04-03,2012-04-03 09:44:37,0,3,a1eaf2147e060b3357db43db97a262eb.jpg,5.6,800,400,09:44:37
+1.0,2012-03-20,2012-03-20 11:05:32,0,3,4688cc49e0429a63851b1b4a601f7213.jpg,5.6,800,400,11:05:32
+1.0,2013-01-29,2013-01-29 16:27:33,1,1,25c2da9ccd7bcb9a9e7fe6b49be04289.jpg,5.6,800,250,16:27:33
+1.0,2013-02-13,2013-02-13 13:30:19,1,1,a4cb66031bbd92215f24a2e494320763.jpg,5.6,800,100,13:30:19
+1.0,2012-04-03,2012-04-03 11:10:50,0,3,a60dba8dfa81b2b29fdbf0def5690824.jpg,5.6,800,400,11:10:50
+1.0,2013-01-28,2013-01-28 12:42:23,1,1,a1e5415e6d51ee9ff125479dc13f559c.jpg,5.6,800,100,12:42:23
+1.0,2013-02-13,2013-02-13 12:01:05,1,1,e2c3e0cae6943f9838ea392cd0d98b3f.jpg,5.6,800,100,12:01:05
+1.0,2012-04-03,2012-04-03 11:07:10,0,3,9192b98a6914484abb2d15a1d134e1b8.jpg,5.6,800,400,11:07:10
+1.0,2013-02-20,2013-02-20 12:26:06,1,1,8e795f1d7b749946b341bdeb746f9ebf.jpg,5.6,800,100,12:26:06
+1.0,2012-04-03,2012-04-03 12:32:46,0,3,776254f8a40b761fe3f17464d5166375.jpg,5.6,800,400,12:32:46
+1.0,2013-01-29,2013-01-29 12:20:50,1,1,b71e6f6a96d0ebbb2cbbbd2304968913.jpg,5.6,800,100,12:20:50
+1.0,2012-04-03,2012-04-03 11:10:00,0,3,e489105535a9eb75128dd39c67eea36b.jpg,5.6,800,400,11:10:00
+1.0,2013-01-29,2013-01-29 16:25:13,1,1,ba8f3c8edf2638699a8955ad19d17828.jpg,5.6,800,400,16:25:13
+1.0,2013-01-28,2013-01-28 12:34:40,1,1,36e7ccce2c2c1fc5ef46b01b2918804a.jpg,5.6,800,100,12:34:40
+1.0,2013-02-13,2013-02-13 12:14:00,1,1,466a54cfb4030674b7b35ef93ca75fc2.jpg,5.6,800,100,12:14:00
+1.0,2013-02-20,2013-02-20 12:45:36,1,1,6531ba86148b9b5b08a920b716fc61d9.jpg,5.6,800,100,12:45:36
+1.0,2013-02-20,2013-02-20 12:25:57,1,1,799f448cef74f12421cf8b2d1774aa3c.jpg,5.6,800,100,12:25:57
+1.0,2012-04-03,2012-04-03 09:41:17,0,3,a38d3129571f81a45c5d54c2e9b8d670.jpg,5.6,800,400,09:41:17
+1.0,2013-02-26,2013-02-26 12:10:26,1,1,3b9c017700dff574c046322dfe13aeb1.jpg,5.6,800,200,12:10:26
+1.0,2012-03-20,2012-03-20 11:08:29,0,3,5570ce3c3a5036ff699a9b9d07d6597b.jpg,5.6,800,400,11:08:29
+1.0,2012-04-03,2012-04-03 09:36:30,0,3,afd4a4f6c3a6281193794b644088f72b.jpg,5.6,800,400,09:36:30
+1.0,2013-01-29,2013-01-29 12:25:14,1,1,288facdb97787550ff2d705ce292445b.jpg,5.6,800,100,12:25:14
+1.0,2013-01-29,2013-01-29 16:33:43,1,1,0c965339117c06ab735b043b8d7f1494.jpg,5.6,800,800,16:33:43
+1.0,2012-03-20,2012-03-20 09:43:47,0,3,eea929b066153a66283fadb15cc88522.jpg,5.6,800,400,09:43:47
+1.0,2013-01-28,2013-01-28 12:35:36,1,1,be1cfaee7f2d2bd70b9ac60ef8929908.jpg,5.6,800,100,12:35:36
+1.0,2013-02-26,2013-02-26 12:44:01,1,1,04f3bb07cc7e65cd54a26cf2e0e68ee0.jpg,5.6,800,200,12:44:01
+1.0,2013-02-20,2013-02-20 12:26:10,1,1,b0262684fe17e99032adc117965a204e.jpg,5.6,800,100,12:26:10
+1.0,2012-04-03,2012-04-03 09:38:11,0,3,70ebf03125570dd007fc50dd4dec631e.jpg,5.6,800,400,09:38:11
+1.0,2013-02-26,2013-02-26 12:21:22,1,1,f8c0722f72982068e8aa30d34d298d55.jpg,5.6,800,200,12:21:22
+1.0,2013-02-26,2013-02-26 12:16:15,1,1,61e81f903142af20856700225db90a3e.jpg,5.6,800,200,12:16:15
+1.0,2013-02-26,2013-02-26 12:04:57,1,1,cf721888da1b0e9c201c86a3180172ae.jpg,5.6,800,160,12:04:57
+1.0,2012-04-24,2012-04-24 09:40:57,0,3,e5fdcf00f1c51e0cac446a0454f766d3.jpg,5.6,800,400,09:40:57
+1.0,2013-01-29,2013-01-29 12:16:59,1,1,85f00cf17fab9ebfc5ac463bed28e0e0.jpg,5.6,800,100,12:16:59
+1.0,2013-01-29,2013-01-29 12:17:56,1,1,6ee50ccb60e6c1cb7773a6d65779ffaa.jpg,5.6,800,100,12:17:56
+1.0,2013-02-26,2013-02-26 12:09:47,1,1,e90d6041e3182676deec8fa8c0164a27.jpg,5.6,800,200,12:09:47
+1.0,2012-04-03,2012-04-03 09:38:07,0,3,92bc5dd39dcff7f3ffcdf29a0189b735.jpg,5.6,800,400,09:38:07
+1.0,2012-03-13,2012-03-13 11:09:06,0,3,c4157dd939ed7d0b05f1c7df88eeb3e7.jpg,5.6,800,400,11:09:06
+1.0,2012-03-20,2012-03-20 13:58:04,0,3,18c22746926348c34dd5023b7f5075bf.jpg,5.6,800,400,13:58:04
+1.0,2013-02-20,2013-02-20 12:06:54,1,1,0234dde353370748be208baba7979412.jpg,5.6,800,160,12:06:54
+1.0,2012-03-20,2012-03-20 11:09:28,0,3,7667b92fdb3a7c934cd694aad7533306.jpg,5.6,800,400,11:09:28
+1.0,2012-04-03,2012-04-03 12:32:55,0,3,d28330bc63c152a297700baeef37cfb5.jpg,5.6,800,400,12:32:55
+1.0,2012-03-22,2012-03-22 11:08:24,0,3,e9e99c889785c8a5b7700b9cf634bd36.jpg,5.6,800,400,11:08:24
+1.0,2013-01-28,2013-01-28 12:34:03,1,1,1751d924727c3c13301fcd4b1f8f3b05.jpg,5.6,800,100,12:34:03
+1.0,2013-01-28,2013-01-28 12:33:30,1,1,1b09c5399ac03efa6e0e102552ee91f3.jpg,5.6,800,100,12:33:30
+1.0,2012-03-08,2012-03-08 14:57:23,0,3,45c76f9c97cd84eced7fbd562b4e5837.jpg,5.6,800,400,14:57:23
+1.0,2012-03-20,2012-03-20 13:56:28,0,3,5ce022c31b04a323f826d9503dd0c408.jpg,5.6,800,400,13:56:28
+1.0,2012-03-08,2012-03-08 10:47:13,0,3,d81677f5c624f0969ac293f2dba643f3.jpg,5.6,800,400,10:47:13
+1.0,2013-01-29,2013-01-29 12:33:56,1,1,8a383daeccc5bca18eb77f54f2e0594e.jpg,5.6,800,100,12:33:56
+1.0,2013-02-13,2013-02-13 12:13:26,1,1,1629320682d16760403ca7df64b730dd.jpg,5.6,800,100,12:13:26
+1.0,2012-03-13,2012-03-13 11:12:21,0,3,79542034feff22492c2c4a6ecb64ca03.jpg,5.6,800,400,11:12:21
+1.0,2013-02-26,2013-02-26 12:24:16,1,1,2a69314f7548861d380cf4a8ef8e0bf1.jpg,5.6,800,200,12:24:16
+1.0,2012-03-22,2012-03-22 11:11:29,0,3,61bdb71c5fdac95992b814a32444985e.jpg,5.6,800,400,11:11:29
+1.0,2012-04-03,2012-04-03 11:03:44,0,3,387fbd952a518e68ac44605c9f010c57.jpg,5.6,800,400,11:03:44
+1.0,2012-03-08,2012-03-08 14:55:40,0,3,bd24b242326f0699f8f0a6fde9aeb37f.jpg,5.6,800,400,14:55:40
+1.0,2013-02-20,2013-02-20 12:40:02,1,1,514f341a6091dc5a93600ba5d9a05f4e.jpg,5.6,800,100,12:40:02
+1.0,2012-03-22,2012-03-22 11:05:59,0,3,49076dac1e2ec7a6f233970cca96b752.jpg,5.6,800,400,11:05:59
+1.0,2013-02-19,2013-02-19 16:25:35,1,1,d7daf3002ec6c6baceec94846f12e76c.jpg,5.6,800,320,16:25:35
+1.0,2012-04-03,2012-04-03 11:07:48,0,3,cb19103dc7a298a0c686c2a7af601e39.jpg,5.6,800,400,11:07:48
+1.0,2013-01-29,2013-01-29 16:29:35,1,1,d01adc8bfbf7cd5fc909a8c69668fd6f.jpg,5.6,800,400,16:29:35
+1.0,2012-03-06,2012-03-06 13:28:25,0,3,ad236fbd84322ae73edca98006f86407.jpg,5.6,800,400,13:28:25
+1.0,2012-03-22,2012-03-22 11:04:08,0,3,61b89d8b0b9e30ff358ba313202151d5.jpg,5.6,800,400,11:04:08
+1.0,2013-02-19,2013-02-19 16:18:41,1,1,bdc4debcec4990d3f0a4f159a8377646.jpg,5.6,800,320,16:18:41
+1.0,2012-03-20,2012-03-20 12:34:39,0,3,9187e46d0e55c5de8e511574e580dea4.jpg,5.6,800,400,12:34:39
+1.0,2013-02-20,2013-02-20 12:27:25,1,1,489038959052543571a46ab52fe0ca1f.jpg,5.6,800,100,12:27:25
+1.0,2013-02-26,2013-02-26 12:04:31,1,1,9684a90833e612f5c3a09ce2cca541df.jpg,5.6,800,160,12:04:31
+1.0,2012-04-03,2012-04-03 11:08:20,0,3,3652922101fc9caef44f6d61b61b056b.jpg,5.6,800,400,11:08:20
+1.0,2013-01-28,2013-01-28 12:42:21,1,1,ecdeed9b5fc5102b059757bd417df34a.jpg,5.6,800,100,12:42:21
+1.0,2012-03-20,2012-03-20 09:41:07,0,3,c7f82291a30cdd196c35c5a89cef2dc3.jpg,5.6,800,400,09:41:07
+1.0,2012-03-22,2012-03-22 13:57:59,0,3,af8997e077bab002bfe473947eae7f33.jpg,5.6,800,400,13:57:59
+1.0,2012-03-20,2012-03-20 15:24:24,0,3,782fb3747001fb2d7bf7a8828b4d150b.jpg,5.6,800,400,15:24:24
+1.0,2012-03-13,2012-03-13 11:11:05,0,3,3547c3ceb00de0b638163dd13adbcbb0.jpg,5.6,800,400,11:11:05
+1.0,2012-03-20,2012-03-20 15:25:01,0,3,6833d4a1b86585b1e5a75c8819126901.jpg,5.6,800,400,15:25:01
+1.0,2012-03-08,2012-03-08 14:58:06,0,3,73532852d9f91ba8a675f73c204717e1.jpg,5.6,800,400,14:58:06
+1.0,2013-02-13,2013-02-13 12:53:13,1,1,d2a926e94e39e73f70bba599dc9087f9.jpg,5.6,800,100,12:53:13
+1.0,2012-03-08,2012-03-08 10:45:20,0,3,22f79eed7bb7757be6d7e77a4c1eeec2.jpg,5.6,800,400,10:45:20
+1.0,2013-01-28,2013-01-28 12:38:02,1,1,431c7915b42591a4a08c6498f92590ff.jpg,5.6,800,100,12:38:02
+1.0,2012-03-20,2012-03-20 15:25:12,0,3,6c3823190afeb511641e05e8e8a89a9d.jpg,5.6,800,400,15:25:12
+1.0,2013-02-20,2013-02-20 12:22:32,1,1,7de55279f95945ef1f1fd5f9b4d346d8.jpg,5.6,800,100,12:22:32
+1.0,2013-02-26,2013-02-26 12:05:58,1,1,f9204d9463f28e226914aabd5e302fe7.jpg,5.6,800,200,12:05:58
+1.0,2013-02-19,2013-02-19 16:34:23,1,1,1993a7f4716318c20b49a9f510dcf06d.jpg,5.6,800,320,16:34:23
+1.0,2012-04-03,2012-04-03 11:04:44,0,3,1f0e763d67c7589fe70c9dd85133ffa3.jpg,5.6,800,400,11:04:44
+1.0,2012-03-06,2012-03-06 13:30:16,0,3,bec2fa7cd7cce7fd4db4927de59d1262.jpg,5.6,800,400,13:30:16
+1.0,2012-04-26,2012-04-26 12:36:30,0,3,1c2f47f9e7b8305f8a1cf09a95c554d2.jpg,5.6,800,400,12:36:30
+1.0,2013-01-28,2013-01-28 12:34:36,1,1,33fc9d4883912f414524e9feb0ec3151.jpg,5.6,800,100,12:34:36
+1.0,2013-01-28,2013-01-28 12:33:28,1,1,72a879ad332aeb30303f03cb32714296.jpg,5.6,800,100,12:33:28
+1.0,2012-03-20,2012-03-20 15:22:25,0,3,e20bc5bbf10664470be5e28cc1ef94a5.jpg,5.6,800,400,15:22:25
+1.0,2012-03-20,2012-03-20 13:58:29,0,3,1a8b5c2157c97a7a04a2b537960c1592.jpg,5.6,800,400,13:58:29
+1.0,2013-01-29,2013-01-29 16:25:24,1,1,c3a3a5f27ac948fd74a82e97f354e4e9.jpg,5.6,800,320,16:25:24
+1.0,2013-01-29,2013-01-29 16:34:03,1,1,439976e7c170cc3988a5bbc0bfbfea14.jpg,5.6,800,640,16:34:03
+1.0,2013-02-19,2013-02-19 16:14:48,1,1,6acd6b1de716f8432cabe3a978b91a42.jpg,5.6,800,320,16:14:48
+1.0,2012-03-08,2012-03-08 10:46:54,0,3,f130bb623df2987d6a3ab1c77b85820d.jpg,5.6,800,400,10:46:54
+1.0,2012-04-03,2012-04-03 11:08:36,0,3,226f5010a63bfae32094e975814a4e0d.jpg,5.6,800,400,11:08:36
+1.0,2013-02-13,2013-02-13 12:33:19,1,1,e7ffcd78ea6f327a7e035ee3c436fb4c.jpg,5.6,800,100,12:33:19
+1.0,2012-04-03,2012-04-03 11:05:41,0,3,e29a8f64b815ca8329a83e48d0f4e3bb.jpg,5.6,800,400,11:05:41
+1.0,2013-01-28,2013-01-28 12:33:29,1,1,8933409b8520417677338aa3b53e3b08.jpg,5.6,800,100,12:33:29
+1.0,2013-01-29,2013-01-29 16:22:36,1,1,9193f2788a637d68a30a9e17a06a0034.jpg,5.6,800,500,16:22:36
+1.0,2013-01-29,2013-01-29 12:10:41,1,1,e37e90993fb0a2c51ccd1f579af3705a.jpg,5.6,800,100,12:10:41
+1.0,2012-03-20,2012-03-20 12:28:37,0,3,692f7e0e39bafdf62253d20901b3841e.jpg,5.6,800,400,12:28:37
+1.0,2012-04-03,2012-04-03 11:05:40,0,3,5edeb13e40c0bd3483fe32cf6e0cc314.jpg,5.6,800,400,11:05:40
+1.0,2013-01-29,2013-01-29 12:31:07,1,1,b66db247927419f896329dbcee4840ed.jpg,5.6,800,100,12:31:07
+1.0,2012-03-20,2012-03-20 13:58:38,0,3,c1b89ea61ac1fa48a612cf32a098baaa.jpg,5.6,800,400,13:58:38
+1.0,2013-02-20,2013-02-20 12:13:20,1,1,3997f0bf0ac0e70dac3885a5fcf702aa.jpg,5.6,800,160,12:13:20
+1.0,2013-01-29,2013-01-29 12:14:25,1,1,e8cd72a6a9889b1615c9066c476c6a63.jpg,5.6,800,100,12:14:25
+1.0,2012-03-08,2012-03-08 14:54:00,0,3,94784e51dffa295761fd7b8321dcfeff.jpg,5.6,800,400,14:54:00
+1.0,2012-03-20,2012-03-20 13:55:52,0,3,78d6efa861d2718d8ce12f732da1f43e.jpg,5.6,800,400,13:55:52
+1.0,2012-03-20,2012-03-20 09:41:01,0,3,a70f97a0bb689bddfe7be0d33c68a44c.jpg,5.6,800,400,09:41:01
+1.0,2012-04-03,2012-04-03 11:11:06,0,3,374771984f06d7bb0b9112cb6c42415a.jpg,5.6,800,400,11:11:06
+1.0,2013-02-13,2013-02-13 13:15:59,1,1,f11381e47fd6a6ac63aac0946bb74575.jpg,5.6,800,100,13:15:59
+1.0,2012-03-08,2012-03-08 14:58:09,0,3,649c1a5b1ba5ce8de0a29855db22ada7.jpg,5.6,800,400,14:58:09
+1.0,2012-04-03,2012-04-03 11:11:19,0,3,6d882987ae369e66b38a6ca4e66a94e8.jpg,5.6,800,400,11:11:19
+1.0,2013-01-28,2013-01-28 12:41:59,1,1,47c061db42728c8dda0dcbef5d188fc5.jpg,5.6,800,100,12:41:59
+1.0,2012-03-20,2012-03-20 09:41:11,0,3,e1c5ebaf2a65085c1be7da484732ae8f.jpg,5.6,800,400,09:41:11
+1.0,2012-03-08,2012-03-08 14:54:44,0,3,765f55d006b89e43680b3154110c1e7e.jpg,5.6,800,400,14:54:44
+1.0,2012-03-13,2012-03-13 11:13:22,0,3,07a0cdfd36914229973f6a3a427b8c40.jpg,5.6,800,400,11:13:22
+1.0,2012-04-03,2012-04-03 11:04:30,0,3,e1f64b015e03daaf99f059b52f64c5ae.jpg,5.6,800,400,11:04:30
+1.0,2012-04-03,2012-04-03 11:12:10,0,3,28794472bfeb8c9764b4fc3c20091a7e.jpg,5.6,800,400,11:12:10
+1.0,2013-02-20,2013-02-20 12:22:15,1,1,6787e64af38dfd7235876b1448df232c.jpg,5.6,800,100,12:22:15
+1.0,2013-02-19,2013-02-19 16:19:46,1,1,e866361d2fcc5967cedeab0b63a324ee.jpg,5.6,800,320,16:19:46
+1.0,2012-03-22,2012-03-22 11:08:21,0,3,c96d41e59ab3960e67432c3c6793b7bd.jpg,5.6,800,400,11:08:21
+1.0,2013-02-26,2013-02-26 12:14:45,1,1,63c033da9065c5be7d44359a70fec075.jpg,5.6,800,200,12:14:45
+1.0,2013-02-13,2013-02-13 13:00:19,1,1,ec857d4272bd43b7af209587bb97bac3.jpg,5.6,800,100,13:00:19
+1.0,2012-02-23,2012-02-23 14:56:13,0,3,1a1d3716419b518481cfe6d99fdaf482.jpg,5.6,800,400,14:56:13
+1.0,2012-04-03,2012-04-03 09:38:13,0,3,dbc973a08c3e0749a233b9801df930cf.jpg,5.6,800,400,09:38:13
+1.0,2013-02-19,2013-02-19 16:14:41,1,1,b4597beb984837a8847dd32ba5bccf18.jpg,5.6,800,320,16:14:41
+1.0,2013-01-28,2013-01-28 12:40:56,1,1,adec85ca5af6f21be007adfeaeb05034.jpg,5.6,800,100,12:40:56
+1.0,2013-01-29,2013-01-29 16:34:00,1,1,24d37f2ba8916a86107f989ec425c400.jpg,5.6,800,500,16:34:00
+1.0,2012-04-03,2012-04-03 12:31:26,0,3,dfa8674f64d5debb3c098943d363d657.jpg,5.6,800,400,12:31:26
+1.0,2013-02-19,2013-02-19 16:26:00,1,1,67db7c36756d1807a77e9f170c0c0306.jpg,5.6,800,320,16:26:00
+1.0,2013-01-28,2013-01-28 12:42:01,1,1,b173915d5d28dead8627913920944451.jpg,5.6,800,100,12:42:01
+1.0,2012-03-08,2012-03-08 12:11:00,0,3,7ad10672e45547b1d4b7d4ef92e6d649.jpg,5.6,800,400,12:11:00
+1.0,2013-01-29,2013-01-29 12:31:12,1,1,d49eacacd4d69cb895d6eda726b2033a.jpg,5.6,800,100,12:31:12
+1.0,2013-02-20,2013-02-20 12:11:34,1,1,b7fd50b49c71db7689838f1a9e2757dd.jpg,5.6,800,200,12:11:34
+1.0,2013-02-19,2013-02-19 16:25:37,1,1,e94177a3c985f26c4d4cb02d68336e2a.jpg,5.6,800,320,16:25:37
+1.0,2012-03-06,2012-03-06 13:28:01,0,3,2c6f0c04893f2b28a27cf6a469ffad22.jpg,5.6,800,400,13:28:01
+1.0,2012-03-20,2012-03-20 13:56:25,0,3,d9c2e5728e3c184b0582a2be277a1d14.jpg,5.6,800,400,13:56:25
+1.0,2012-04-03,2012-04-03 12:32:29,0,3,a1364f397682891af275613ce5b25b63.jpg,5.6,800,400,12:32:29
+1.0,2012-03-22,2012-03-22 11:09:43,0,3,6eee2442d0bace43e3da637f2199abf7.jpg,5.6,800,400,11:09:43
+1.0,2013-02-20,2013-02-20 12:34:21,1,1,6ac00afe76efd53d87029558c1a5aba0.jpg,5.6,800,100,12:34:21
+1.0,2013-02-20,2013-02-20 12:28:47,1,1,5f244cd75e5c348b7b4e11ce0c13f12d.jpg,5.6,800,100,12:28:47
+1.0,2013-01-28,2013-01-28 12:36:21,1,1,8e891366df293d890c995ae16c6b9eea.jpg,5.6,800,100,12:36:21
+1.0,2012-02-23,2012-02-23 14:56:05,0,3,7c41bdc131bb44869a30cb0c5aa3887b.jpg,5.6,800,400,14:56:05
+1.0,2012-03-06,2012-03-06 13:28:26,0,3,6dc0984fde645a90907317aaa9724e8b.jpg,5.6,800,400,13:28:26
+1.0,2013-02-26,2013-02-26 12:05:08,1,1,a7864eb1d791dbcfb43afef139e7b6d4.jpg,5.6,800,160,12:05:08
+1.0,2013-02-26,2013-02-26 12:19:21,1,1,49993351ca44a66ee2012c903b3992cc.jpg,5.6,800,200,12:19:21
+1.0,2013-02-20,2013-02-20 12:13:17,1,1,3af8a45616d36a1aac19322281b3245f.jpg,5.6,800,200,12:13:17
+1.0,2012-03-20,2012-03-20 15:22:54,0,3,fba060e52f5746ded107764d361989f6.jpg,5.6,800,400,15:22:54
+1.0,2013-02-13,2013-02-13 12:33:27,1,1,ac6803274fbaf068103e0ed511310169.jpg,5.6,800,100,12:33:27
+1.0,2013-02-19,2013-02-19 16:29:10,1,1,0a832245aad9cf35f3def6ff53cec89c.jpg,5.6,800,320,16:29:10
+1.0,2013-02-26,2013-02-26 12:30:03,1,1,8d735a9424f6860142431abade9ae0d9.jpg,5.6,800,200,12:30:03
+1.0,2013-02-20,2013-02-20 12:16:42,1,1,c3e549be1916e00d1237adde0a8b4523.jpg,5.6,800,125,12:16:42
+1.0,2013-02-13,2013-02-13 12:51:34,1,1,10600ba9dc06f851a99ad1b35e63d2c6.jpg,5.6,800,100,12:51:34
+1.0,2013-02-20,2013-02-20 12:16:32,1,1,14a83489ad46fb95267a8449645f4a8f.jpg,5.6,800,125,12:16:32
+1.0,2013-01-29,2013-01-29 16:23:09,1,1,4f2165bc528c9d99064eab329dc66872.jpg,5.6,800,320,16:23:09
+1.0,2012-03-20,2012-03-20 13:56:44,0,3,c17040f3391044093b59638b97d8fca1.jpg,5.6,800,400,13:56:44
+1.0,2013-02-26,2013-02-26 12:04:56,1,1,2f9684446527c441a81e25b38a7cd93f.jpg,5.6,800,160,12:04:56
+1.0,2012-03-13,2012-03-13 11:11:34,0,3,6fd982e9c0960850c5ad108c8dca84d2.jpg,5.6,800,400,11:11:34
+1.0,2012-03-08,2012-03-08 12:12:23,0,3,a7f72b15171ab83f3438e11c601b04f9.jpg,5.6,800,400,12:12:23
+1.0,2012-03-06,2012-03-06 13:29:37,0,3,ea7ca9902537375a5f95fbb742ce6152.jpg,5.6,800,400,13:29:37
+1.0,2013-01-29,2013-01-29 12:34:25,1,1,939e7617ce897f852edac75206b704fc.jpg,5.6,800,100,12:34:25
+1.0,2013-02-20,2013-02-20 12:39:45,1,1,8ade89c8b89ab7a3e675d6db8e6a9284.jpg,5.6,800,100,12:39:45
+1.0,2013-01-28,2013-01-28 12:42:38,1,1,2973a6bb4533059cb4ad90f80402abcb.jpg,5.6,800,100,12:42:38
+1.0,2012-03-20,2012-03-20 15:22:53,0,3,19afa94a5c9df4f6b6f4c552fa687317.jpg,5.6,800,400,15:22:53
+1.0,2013-01-28,2013-01-28 12:40:43,1,1,e17f8426f117323df9c8a82b5c03af00.jpg,5.6,800,100,12:40:43
+1.0,2013-01-28,2013-01-28 12:41:40,1,1,631ffe0138ab4134715e3daddf5095f1.jpg,5.6,800,100,12:41:40
+1.0,2013-01-29,2013-01-29 12:27:28,1,1,b8ae761c4ca5186d1d68d43e5763213f.jpg,5.6,800,100,12:27:28
+1.0,2012-03-20,2012-03-20 13:55:48,0,3,632f2113bcebe87f672f22c6a8c7aac3.jpg,5.6,800,400,13:55:48
+1.0,2013-01-28,2013-01-28 12:42:03,1,1,c8011c231f6b1592e945b164f04e443a.jpg,5.6,800,100,12:42:03
+1.0,2012-03-06,2012-03-06 13:32:09,0,3,eb0388d5b2babf14ff81a0fd8419042f.jpg,5.6,800,400,13:32:09
+1.0,2012-03-08,2012-03-08 10:47:37,0,3,1fac7eb0c220c524a015c7581c3f190d.jpg,5.6,800,400,10:47:37
+1.0,2013-02-20,2013-02-20 12:28:52,1,1,221754e1722b8d27e837823985d864d6.jpg,5.6,800,100,12:28:52
+1.0,2013-01-29,2013-01-29 16:22:19,1,1,f985054043066cd0408f494e7ce0502c.jpg,5.6,800,250,16:22:19
+1.0,2013-02-20,2013-02-20 12:20:16,1,1,4b048a9c26c70c8f463032bee51e2634.jpg,5.6,800,100,12:20:16
+1.0,2013-02-13,2013-02-13 13:21:10,1,1,5d889f3ed9e3d6fa5db5effbc1e09e3a.jpg,5.6,800,100,13:21:10
+1.0,2012-03-20,2012-03-20 09:41:33,0,3,85490af3ba5e318839a6d133116b7f5f.jpg,5.6,800,400,09:41:33
+1.0,2012-03-08,2012-03-08 10:47:44,0,3,37ecebf3e17abbe4ff7ccee76c0255c1.jpg,5.6,800,400,10:47:44
+1.0,2012-03-20,2012-03-20 09:42:26,0,3,d0b71e9c89abfda0ce8ca84578a29e54.jpg,5.6,800,400,09:42:26
+1.0,2012-03-06,2012-03-06 13:29:18,0,3,5167b2d1baabf2259e5f24dae38caa60.jpg,5.6,800,400,13:29:18
+1.0,2012-03-20,2012-03-20 09:46:33,0,3,3291f7394bda7b10dc7bf7db9739b396.jpg,5.6,800,400,09:46:33
+1.0,2012-02-23,2012-02-23 14:58:26,0,3,4ba76753f6787934a2d917b7a5beb858.jpg,5.6,800,400,14:58:26
+1.0,2013-02-13,2013-02-13 12:08:16,1,1,6d07e8e8252f6cd422898997d5ce0708.jpg,5.6,800,125,12:08:16
+1.0,2012-04-03,2012-04-03 09:43:32,0,3,89433ec38c2cb33aa81019cba1688143.jpg,5.6,800,400,09:43:32
+1.0,2013-02-20,2013-02-20 12:14:13,1,1,624ade27f0752c30bfd5e922ee07194b.jpg,5.6,800,160,12:14:13
+1.0,2012-04-03,2012-04-03 09:36:14,0,3,b80d393721805698d1bd0a4e4bd00188.jpg,5.6,800,400,09:36:14
+1.0,2013-02-26,2013-02-26 12:09:34,1,1,14232538652308eb8cf88212cbe47289.jpg,5.6,800,200,12:09:34
+1.0,2013-02-20,2013-02-20 12:28:54,1,1,4ad7649cfd96392d12dec1df5be8e252.jpg,5.6,800,100,12:28:54
+1.0,2012-03-20,2012-03-20 11:09:20,0,3,b9cd88fb35ae5e3a4e7ce78f007d1219.jpg,5.6,800,400,11:09:20
+1.0,2013-02-20,2013-02-20 12:45:31,1,1,110899d5e080b5704a07920bf32393d0.jpg,5.6,800,100,12:45:31
+1.0,2013-02-19,2013-02-19 16:30:52,1,1,e3c75e1802e8b0210fcee51f664797d8.jpg,5.6,800,400,16:30:52
+1.0,2012-04-03,2012-04-03 11:09:29,0,3,7b8bb1a7a002a6eda543ad85fc1e6160.jpg,5.6,800,400,11:09:29
+1.0,2012-03-20,2012-03-20 12:32:11,0,3,130f5af8bd00da683edfc842af0d5f53.jpg,5.6,800,400,12:32:11
+1.0,2013-01-29,2013-01-29 16:24:07,1,1,6278ee2fa67e7bc369a441464ec87d16.jpg,5.6,800,400,16:24:07
+1.0,2012-03-22,2012-03-22 11:04:58,0,3,707b27cf9a1884d2ea33ecdf70c517b2.jpg,5.6,800,400,11:04:58
+1.0,2013-02-26,2013-02-26 12:17:40,1,1,1cffeaeeb1b1ca5165945a6b5dedbb74.jpg,5.6,800,200,12:17:40
+1.0,2013-01-29,2013-01-29 16:25:15,1,1,ed8dac9f8bf83b95e9396a1b9312b26b.jpg,5.6,800,320,16:25:15
+1.0,2013-01-28,2013-01-28 12:38:26,1,1,587a96712699c7651fbac1ef0b672bed.jpg,5.6,800,100,12:38:26
+1.0,2012-03-08,2012-03-08 14:55:49,0,3,8535cea899f2b2be51c2abb46c7389bc.jpg,5.6,800,400,14:55:49
+1.0,2012-04-03,2012-04-03 09:44:58,0,3,a854458539d45e7ba418908abe6d688a.jpg,5.6,800,400,09:44:58
+1.0,2012-03-20,2012-03-20 09:40:58,0,3,1443e323eb9e85876cb2edb924aef6fe.jpg,5.6,800,400,09:40:58
+1.0,2013-01-28,2013-01-28 12:36:18,1,1,becac29c519345ad7d564588909b54cd.jpg,5.6,800,100,12:36:18
+1.0,2013-02-20,2013-02-20 12:24:47,1,1,f28ca44f7c9361207ce4fd9f3ec47813.jpg,5.6,800,100,12:24:47
+1.0,2012-03-20,2012-03-20 15:22:59,0,3,72c0e68108b95cfd3b326273fa773ca4.jpg,5.6,800,400,15:22:59
+1.0,2012-04-03,2012-04-03 12:34:30,0,3,be07ee472eb666c77335437d7c71678b.jpg,5.6,800,400,12:34:30
+1.0,2012-03-20,2012-03-20 13:56:53,0,3,f8f9945d64acfb4dba9b6086809a0614.jpg,5.6,800,400,13:56:53
+1.0,2013-01-29,2013-01-29 16:24:10,1,1,9c4655d276c1ed44cb08ce29c4ae118b.jpg,5.6,800,500,16:24:10
+1.0,2013-02-13,2013-02-13 12:19:44,1,1,dfddacea54baed963ade2355d754e5a0.jpg,5.6,800,100,12:19:44
+1.0,2013-01-28,2013-01-28 12:35:34,1,1,73032e26dfa593e3cba0d155735c58bb.jpg,5.6,800,100,12:35:34
+1.0,2012-03-20,2012-03-20 12:33:36,0,3,45e7d760ff6b2d6047f369718b33c099.jpg,5.6,800,400,12:33:36
+1.0,2012-03-08,2012-03-08 14:54:06,0,3,6e261cf32a12f519280266ae810dbbec.jpg,5.6,800,400,14:54:06
+1.0,2012-03-22,2012-03-22 11:07:44,0,3,71365b035e4eb4a05fa5f761c1b89cb2.jpg,5.6,800,400,11:07:44
+1.0,2012-03-20,2012-03-20 15:24:28,0,3,d93eaa30ec0ac55646c5c67a1c550a73.jpg,5.6,800,400,15:24:28
+1.0,2012-02-23,2012-02-23 14:55:20,0,3,d55a6da0d5210f1ba806cee41ff7e9ff.jpg,5.6,800,400,14:55:20
+1.0,2012-03-06,2012-03-06 13:31:33,0,3,b10d3a4cabf41eb9736cca4eb07882cc.jpg,5.6,800,400,13:31:33
+1.0,2013-02-19,2013-02-19 16:18:07,1,1,398e88924fb70b1effd1fc240676ef25.jpg,5.6,800,320,16:18:07
+1.0,2013-02-19,2013-02-19 16:23:22,1,1,5c26b4735b6da2692cdac293aaa0a29d.jpg,5.6,800,320,16:23:22
+1.0,2013-02-20,2013-02-20 12:05:00,1,1,6567b0fd21f2b8579d301ededf783894.jpg,5.6,800,160,12:05:00
+1.0,2013-02-20,2013-02-20 12:02:18,1,1,57024a491fb611a97ae1927d870e4832.jpg,5.6,800,160,12:02:18
+1.0,2012-03-08,2012-03-08 14:54:08,0,3,737bfb2e7339d7a9c09d074a3a14dc42.jpg,5.6,800,400,14:54:08
+1.0,2013-01-28,2013-01-28 12:40:25,1,1,adeace006b64f30f37cb124e2ecc9ddc.jpg,5.6,800,100,12:40:25
+1.0,2013-02-13,2013-02-13 12:14:38,1,1,9d268be84303b0d9784f0afd55b63e15.jpg,5.6,800,100,12:14:38
+1.0,2013-01-29,2013-01-29 16:33:07,1,1,f9139bf512b7685cf05e1a76ecd4d0e5.jpg,5.6,800,320,16:33:07
+1.0,2012-04-03,2012-04-03 09:36:10,0,3,39d0156c02ee1fb0fabd85ac404b1f92.jpg,5.6,800,400,09:36:10
+1.0,2013-02-20,2013-02-20 12:19:29,1,1,657ba5d85f23d83d97d172ef8a5972d1.jpg,5.6,800,100,12:19:29
+1.0,2013-01-29,2013-01-29 12:33:52,1,1,2db0b97010a74d52f33f0c9c957555f9.jpg,5.6,800,100,12:33:52
+1.0,2012-03-22,2012-03-22 11:06:25,0,3,b9b304d7906424700d30ced68be22bf2.jpg,5.6,800,400,11:06:25
+1.0,2013-01-29,2013-01-29 12:16:50,1,1,a1b5e525593188f6a6448cb689491d9c.jpg,5.6,800,100,12:16:50
+1.0,2012-03-08,2012-03-08 12:13:16,0,3,765566f15bafd6eb074fefc3b6442c5b.jpg,5.6,800,400,12:13:16
+1.0,2012-03-22,2012-03-22 11:09:45,0,3,c56efb576e7d5ceba788edf8e523a8a2.jpg,5.6,800,400,11:09:45
+1.0,2013-01-29,2013-01-29 16:32:55,1,1,40207bd43bf7e1efb6f3a0241a6db1e6.jpg,5.6,800,320,16:32:55
+1.0,2012-04-03,2012-04-03 09:44:42,0,3,8c0ef231c9fe46b2568a2699080a982f.jpg,5.6,800,400,09:44:42
+1.0,2012-04-03,2012-04-03 09:43:26,0,3,8d9f8426d45324770b39193c73510bb1.jpg,5.6,800,400,09:43:26
+1.0,2012-03-22,2012-03-22 11:11:22,0,3,3ba466840b9aa1b5a5d4a1a09c42fe03.jpg,5.6,800,400,11:11:22
+1.0,2012-04-03,2012-04-03 12:26:34,0,3,cde6945001c0490153b52cc3e28dfc90.jpg,5.6,800,400,12:26:34
+1.0,2012-02-23,2012-02-23 14:56:08,0,3,e184c123b7861b0247f80163f8d5e708.jpg,5.6,800,400,14:56:08
+1.0,2012-03-22,2012-03-22 11:08:27,0,3,4e75dbfd1e1a15eee520006f55c1f57d.jpg,5.6,800,400,11:08:27
+1.0,2012-03-20,2012-03-20 13:57:36,0,3,a3d7a908827f46c73567f72baf139c79.jpg,5.6,800,400,13:57:36
+1.0,2012-03-20,2012-03-20 13:56:29,0,3,550ef4cfa5bcd92c89ee4e308cf3c850.jpg,5.6,800,400,13:56:29
+1.0,2013-02-19,2013-02-19 16:22:23,1,1,823ca6c6a87b9b92d3c828954d22b968.jpg,5.6,800,400,16:22:23
+1.0,2012-04-03,2012-04-03 12:29:32,0,3,cb898ddd3949c04cbc4c8056597a5f3f.jpg,5.6,800,400,12:29:32
+1.0,2012-03-20,2012-03-20 13:56:29,0,3,5adfbbf1ed8cb71dceb52a0e60f96b72.jpg,5.6,800,400,13:56:29
+1.0,2012-04-03,2012-04-03 09:35:39,0,3,d69c18d308244787ebd94255b6ae8c95.jpg,5.6,800,400,09:35:39
+1.0,2013-01-28,2013-01-28 12:42:11,1,1,f3e0b9d42a1659b9bc0116a9069e7a02.jpg,5.6,800,100,12:42:11
+1.0,2012-03-20,2012-03-20 12:35:01,0,3,43ba07ed65b379a9f5ef9ba82de70dbf.jpg,5.6,800,400,12:35:01
+1.0,2013-01-29,2013-01-29 12:27:55,1,1,5373a45fef4bc53bd8f7cf1260092671.jpg,5.6,800,100,12:27:55
+1.0,2013-02-26,2013-02-26 12:05:05,1,1,6e0c32b05881d215e3689a5c0fab0957.jpg,5.6,800,160,12:05:05
+1.0,2013-02-20,2013-02-20 12:04:12,1,1,ee41edf0e46db9731182c333144b665e.jpg,5.6,800,200,12:04:12
+1.0,2012-03-20,2012-03-20 15:22:53,0,3,e18ef20104dc78563f5a17cc759fe16d.jpg,5.6,800,400,15:22:53
+1.0,2013-02-20,2013-02-20 12:03:42,1,1,808df56738801fc7678f4e2aac3e16f1.jpg,5.6,800,160,12:03:42
+1.0,2012-03-20,2012-03-20 15:22:55,0,3,87a27ff16d1f9a71e4141d9e7b1b4572.jpg,5.6,800,400,15:22:55
+1.0,2012-04-03,2012-04-03 11:04:06,0,3,fb5a0ed36ce2265a32b9da3fef5d6a48.jpg,5.6,800,400,11:04:06
+1.0,2013-01-29,2013-01-29 16:33:04,1,1,aa226d8924162d483d36a3388be5eaaf.jpg,5.6,800,500,16:33:04
+1.0,2013-02-26,2013-02-26 12:04:39,1,1,ca9d343aea61ff2eb0abd54aa3b25201.jpg,5.6,800,160,12:04:39
+1.0,2013-02-19,2013-02-19 16:30:13,1,1,02a608482cb5f0177b46250d97f9a8af.jpg,5.6,800,320,16:30:13
+1.0,2013-01-28,2013-01-28 12:38:37,1,1,26bda011ab8c1d270e4954a86a252636.jpg,5.6,800,100,12:38:37
+1.0,2013-01-29,2013-01-29 16:30:20,1,1,62599ed26f171d3436fce6bac270f4af.jpg,5.6,800,250,16:30:20
+1.0,2013-02-19,2013-02-19 16:26:39,1,1,23236c7f30c9df0de58eeaaa524211e3.jpg,5.6,800,400,16:26:39
+1.0,2012-04-03,2012-04-03 11:06:23,0,3,d292d8b45adcf23b500aceb767d84e6d.jpg,5.6,800,400,11:06:23
+1.0,2013-01-28,2013-01-28 12:42:14,1,1,da4caad44c8b855751d2df67400e3120.jpg,5.6,800,100,12:42:14
+1.0,2012-03-20,2012-03-20 11:08:22,0,3,cd6ac761d1a7f312b60d365d1dbfc2d6.jpg,5.6,800,400,11:08:22
+1.0,2013-01-29,2013-01-29 16:33:52,1,1,90502005e8fd169c22c61871c4fea392.jpg,5.6,800,640,16:33:52
+1.0,2012-04-03,2012-04-03 09:40:47,0,3,26d6814225c8fc7aa5eb05139a67016f.jpg,5.6,800,400,09:40:47
+1.0,2012-03-20,2012-03-20 15:22:26,0,3,194b3f7ac53f3db91ff038d0f37ee29d.jpg,5.6,800,400,15:22:26
+1.0,2012-04-03,2012-04-03 09:38:57,0,3,1da9d5fe9d5c15ef5881c642c5ad4adc.jpg,5.6,800,400,09:38:57
+1.0,2013-02-20,2013-02-20 12:07:24,1,1,2427189c8159f99df2fe0dbbe62794bd.jpg,5.6,800,200,12:07:24
+1.0,2013-02-20,2013-02-20 12:01:39,1,1,5b48f1b47a0b24aba0daace8d24af0df.jpg,5.6,800,160,12:01:39
+1.0,2012-03-20,2012-03-20 09:46:45,0,3,81ef5a5f765da0870510b36b15fb0f60.jpg,5.6,800,400,09:46:45
+1.0,2013-02-19,2013-02-19 16:22:11,1,1,dddf2a583788310c3ba7a25defb7de9f.jpg,5.6,800,320,16:22:11
+1.0,2012-03-20,2012-03-20 12:30:50,0,3,95e09d020bc6a192b1d94b9695b9de21.jpg,5.6,800,400,12:30:50
+1.0,2012-04-03,2012-04-03 11:07:08,0,3,518656cc1cbf29e5ffaab7d69681f7a6.jpg,5.6,800,400,11:07:08
+1.0,2013-01-29,2013-01-29 12:16:40,1,1,7f9ac1fa26f8a5b6cf5160b9f632160f.jpg,5.6,800,100,12:16:40
+1.0,2012-04-03,2012-04-03 11:10:16,0,3,1f6670868ddc388692ca5485f1a3ac74.jpg,5.6,800,400,11:10:16
+1.0,2012-03-22,2012-03-22 11:06:54,0,3,d90d1c64f6f4929a984044a3b58e6bc0.jpg,5.6,800,400,11:06:54
+1.0,2013-01-29,2013-01-29 12:17:03,1,1,090a96db41336bf95e5c11706b59274f.jpg,5.6,800,100,12:17:03
+1.0,2012-03-20,2012-03-20 12:33:06,0,3,8b316a05025178544ad1948753fd60c8.jpg,5.6,800,400,12:33:06
+1.0,2012-03-08,2012-03-08 10:47:45,0,3,6a97f50d657de7c0754698969f0ed9bb.jpg,5.6,800,400,10:47:45
+1.0,2013-01-29,2013-01-29 16:32:45,1,1,d48d6eed0fbdb5f9e473701ce824276e.jpg,5.6,800,640,16:32:45
+1.0,2013-02-20,2013-02-20 12:40:52,1,1,0ea8d8c921b9cf73f5b8e8b73f5e9c64.jpg,5.6,800,100,12:40:52
+1.0,2013-02-26,2013-02-26 12:35:48,1,1,67c9af2d0d9bdd9e33601bfcc3353ae8.jpg,5.6,800,200,12:35:48
+1.0,2013-01-28,2013-01-28 12:41:30,1,1,a36005110c827edefa17fb2b356a50d5.jpg,5.6,800,100,12:41:30
+1.0,2012-03-20,2012-03-20 09:43:40,0,3,e945a69f8a15cd79dcc5f447828fdb62.jpg,5.6,800,400,09:43:40
+1.0,2012-03-20,2012-03-20 13:55:47,0,3,ac37bb55cb5bd44a00b91aa0fbdb7bce.jpg,5.6,800,400,13:55:47
+1.0,2013-01-29,2013-01-29 16:23:59,1,1,2363de85e5ef3d2e0613cabbbae6e702.jpg,5.6,800,640,16:23:59
+1.0,2012-03-06,2012-03-06 13:29:27,0,3,3b7423e26a718969cd103ecf6b99e28c.jpg,5.6,800,400,13:29:27
+1.0,2012-04-03,2012-04-03 11:08:34,0,3,76efebf18472b7b7c2045c8805b301e3.jpg,5.6,800,400,11:08:34
+1.0,2013-02-13,2013-02-13 13:24:58,1,1,de65324b4024271efde61cd567cb241a.jpg,5.6,800,100,13:24:58
+1.0,2013-01-29,2013-01-29 12:13:36,1,1,4ed61353cde8cf216c6829ef4e9ff77f.jpg,5.6,800,100,12:13:36
+1.0,2012-04-24,2012-04-24 09:37:22,0,3,8b81c0a2be28cefdd70f82d55d89da1c.jpg,5.6,800,400,09:37:22
+1.0,2013-01-29,2013-01-29 16:21:19,1,1,7b5763e2650c97332392cd05acb80f21.jpg,5.6,800,250,16:21:19
+1.0,2013-02-20,2013-02-20 12:17:49,1,1,55606eb1e5a2760c1ffaabc370ba002c.jpg,5.6,800,100,12:17:49
+1.0,2013-01-29,2013-01-29 12:34:21,1,1,b75b3be61a1d11bc1d3e60e07c9a9412.jpg,5.6,800,100,12:34:21
+1.0,2013-02-20,2013-02-20 12:04:33,1,1,d1fbc4fee7c59b1b8ff9136a17c4447c.jpg,5.6,800,200,12:04:33
+1.0,2013-01-29,2013-01-29 12:33:16,1,1,393d23b3703e4967b2ee8f3598c1bfcf.jpg,5.6,800,100,12:33:16
+1.0,2012-03-22,2012-03-22 11:08:57,0,3,fec53e946ecd037aa620b18bceea69f4.jpg,5.6,800,400,11:08:57
+1.0,2013-02-26,2013-02-26 12:12:44,1,1,43860a03ce766c3ca826dcf333b39850.jpg,5.6,800,160,12:12:44
+1.0,2013-02-19,2013-02-19 16:22:18,1,1,3dc4184748e2f55c4ff34032ae73116e.jpg,5.6,800,320,16:22:18
+1.0,2012-03-20,2012-03-20 12:33:48,0,3,042afd322eb716ab23446665738aabe4.jpg,5.6,800,400,12:33:48
+1.0,2012-04-03,2012-04-03 09:38:12,0,3,4c80c60801755685322612523a7954c7.jpg,5.6,800,400,09:38:12
+1.0,2012-04-03,2012-04-03 11:04:45,0,3,6171e04e782ca898f67c31bbbe645562.jpg,5.6,800,400,11:04:45
+1.0,2012-03-20,2012-03-20 12:34:51,0,3,e658a1bd9e68bf20914532957c3ff092.jpg,5.6,800,400,12:34:51
+1.0,2012-03-06,2012-03-06 13:30:06,0,3,262360e6acca7095bba33b89adeded7a.jpg,5.6,800,400,13:30:06
+1.0,2012-03-22,2012-03-22 11:04:54,0,3,4cf408f5b0e025353e4cf01d0d19255e.jpg,5.6,800,400,11:04:54
+1.0,2012-03-20,2012-03-20 13:58:02,0,3,f4a9c5fcef9e802224c0e01fa238893a.jpg,5.6,800,400,13:58:02
+1.0,2012-03-22,2012-03-22 11:11:31,0,3,12d7d0374c01c676d2a5b09031264f17.jpg,5.6,800,400,11:11:31
+1.0,2012-04-03,2012-04-03 09:38:11,0,3,2966ccf8606c00b328d3d63421f01dfc.jpg,5.6,800,400,09:38:11
+1.0,2013-02-13,2013-02-13 12:20:41,1,1,d4297e49bbe9f201edb8c3adc8873da0.jpg,5.6,800,100,12:20:41
+1.0,2012-04-03,2012-04-03 09:42:27,0,3,c77e30fb47720623aa59ffb2bdd6ce16.jpg,5.6,800,400,09:42:27
+1.0,2013-02-19,2013-02-19 16:26:05,1,1,70b7603f96748ca0737fba33a62ce5e9.jpg,5.6,800,320,16:26:05
+1.0,2012-03-20,2012-03-20 15:22:52,0,3,f6a643cf6fc0caa652be84f54169bea9.jpg,5.6,800,400,15:22:52
+1.0,2012-03-20,2012-03-20 12:36:53,0,3,84a000fe5a6998bff2c808dfe6ee2d4f.jpg,5.6,800,400,12:36:53
+1.0,2013-02-13,2013-02-13 12:13:58,1,1,4f6293ff6b0a8445fd1c08fe426b82aa.jpg,5.6,800,100,12:13:58
+1.0,2013-02-20,2013-02-20 12:25:06,1,1,d248e54fda26049120ef349385fa57ee.jpg,5.6,800,100,12:25:06
+1.0,2012-03-22,2012-03-22 13:58:33,0,3,206422a556aeed721348768c99f4734f.jpg,5.6,800,400,13:58:33
+1.0,2013-02-19,2013-02-19 16:23:11,1,1,e801d88f8c2f6bd5b9716af9fc73bb6c.jpg,5.6,800,400,16:23:11
+1.0,2012-03-20,2012-03-20 09:47:09,0,3,4c7695314247005ae8e62da588e5fa00.jpg,5.6,800,400,09:47:09
+1.0,2013-02-13,2013-02-13 12:17:34,1,1,0379e7a2d8fae8cd807ed34d69408931.jpg,5.6,800,100,12:17:34
+1.0,2013-01-29,2013-01-29 12:33:30,1,1,dcc3bc6919365e29392f4571172af95e.jpg,5.6,800,100,12:33:30
+1.0,2012-04-03,2012-04-03 11:11:57,0,3,9b6298a1e88fd8007442f426bcedab22.jpg,5.6,800,400,11:11:57
+1.0,2013-01-29,2013-01-29 12:32:37,1,1,52c75b2b26eb2afd948f5ee676b7ee2d.jpg,5.6,800,100,12:32:37
+1.0,2013-01-29,2013-01-29 16:25:33,1,1,b3235e52c545ab4a8196e0a55f8fd6c3.jpg,5.6,800,250,16:25:33
+1.0,2013-01-28,2013-01-28 12:37:48,1,1,591645d61313bf5491d99187b3772c53.jpg,5.6,800,100,12:37:48
+1.0,2013-01-29,2013-01-29 16:26:22,1,1,ecef9c03eddbbfab684298fba2eb9b64.jpg,5.6,800,250,16:26:22
+1.0,2013-01-28,2013-01-28 12:34:48,1,1,3578b60cb521cb98bafb1ee61fc438f9.jpg,5.6,800,100,12:34:48
+1.0,2012-04-03,2012-04-03 11:05:23,0,3,b9856684069a39fce2cd93ac3fded804.jpg,5.6,800,400,11:05:23
+1.0,2013-02-20,2013-02-20 12:38:07,1,1,0f0b0ff6f16df0cabb58d9d8e76cb676.jpg,5.6,800,100,12:38:07
+1.0,2013-02-26,2013-02-26 12:11:13,1,1,c5fc25430e3fb7f138c16bad454f959a.jpg,5.6,800,160,12:11:13
+1.0,2012-04-03,2012-04-03 11:06:52,0,3,3edef2968c198b7ce7dbe5b37c6c80a3.jpg,5.6,800,400,11:06:52
+1.0,2012-03-22,2012-03-22 14:03:00,0,3,19e6915565e1f788fec6740d850bf0f9.jpg,5.6,800,400,14:03:00
+1.0,2012-04-03,2012-04-03 09:41:51,0,3,21fe3cf2b8171b07e0b57edf8cf54269.jpg,5.6,800,400,09:41:51
+1.0,2013-01-29,2013-01-29 16:33:28,1,1,8bf3c10ff7e4fb9e4e15790f95251b72.jpg,5.6,800,400,16:33:28
+1.0,2012-04-03,2012-04-03 11:11:14,0,3,b49b8f5bb94e9df01427b4ce9c730dc2.jpg,5.6,800,400,11:11:14
+1.0,2012-03-22,2012-03-22 11:08:23,0,3,82cb3ccff8e465093d8cf020d45b256d.jpg,5.6,800,400,11:08:23
+1.0,2012-03-20,2012-03-20 15:24:17,0,3,588629e49b6ecd83e63d45b44647a294.jpg,5.6,800,400,15:24:17
+1.0,2012-04-03,2012-04-03 11:09:24,0,3,45212fb44cd7fb4e7f7c62a7329c1977.jpg,5.6,800,400,11:09:24
+1.0,2013-01-28,2013-01-28 12:38:25,1,1,915a80e0790c5e1ad6fad084f39b7b90.jpg,5.6,800,100,12:38:25
+1.0,2012-04-03,2012-04-03 09:38:01,0,3,bb1103d190a5801d7ea72b98f2193c06.jpg,5.6,800,400,09:38:01
+1.0,2013-01-28,2013-01-28 12:38:29,1,1,29bb81ce94324553ee8a9a7693fc1bea.jpg,5.6,800,100,12:38:29
+1.0,2013-02-20,2013-02-20 12:45:32,1,1,84b10f631319d1a4b27c3490a787fa92.jpg,5.6,800,100,12:45:32
+1.0,2012-03-20,2012-03-20 13:56:40,0,3,d2cc2f58c5c34dd5ee74481f524fca62.jpg,5.6,800,400,13:56:40
+1.0,2013-01-29,2013-01-29 16:33:47,1,1,18463a6afcfda33766510b8b1b731b5b.jpg,5.6,800,800,16:33:47
+1.0,2013-02-13,2013-02-13 12:50:23,1,1,cf028ad7fff681e2b86b508674f9342d.jpg,5.6,800,100,12:50:23
+1.0,2012-04-03,2012-04-03 09:44:28,0,3,eb1069811c6405f2ff5d008a47713392.jpg,5.6,800,400,09:44:28
+1.0,2012-03-20,2012-03-20 11:08:23,0,3,e62fae996c8d05b126e31e714fa31a76.jpg,5.6,800,400,11:08:23
+1.0,2013-02-19,2013-02-19 16:31:19,1,1,ac51659a142318e3f33120e9b5f02d6b.jpg,5.6,800,320,16:31:19
+1.0,2013-01-28,2013-01-28 12:42:05,1,1,eda5ede163793afd5994aa5ee973fdf6.jpg,5.6,800,100,12:42:05
+1.0,2012-04-03,2012-04-03 11:04:35,0,3,2f0b9044841e30f3c0eae7d582e3a152.jpg,5.6,800,400,11:04:35
+1.0,2012-03-22,2012-03-22 11:04:56,0,3,bcf5736e9def6ebf0729c4bbaf0616ad.jpg,5.6,800,400,11:04:56
+1.0,2012-03-22,2012-03-22 11:08:20,0,3,1ba5e17b475c15ff1fbc3bb0beddcb5a.jpg,5.6,800,400,11:08:20
+1.0,2013-01-28,2013-01-28 12:40:47,1,1,b264e4f0fdc5c79989093f53a736f6dc.jpg,5.6,800,100,12:40:47
+1.0,2012-03-22,2012-03-22 11:09:44,0,3,74dcedffdc16109ee34638c4e5232b6e.jpg,5.6,800,400,11:09:44
+1.0,2012-04-03,2012-04-03 12:38:46,0,3,9de1b57b3e2e76bfc85c2e9acec09170.jpg,5.6,800,400,12:38:46
+1.0,2012-03-20,2012-03-20 11:04:01,0,3,985ed0a1881ae155c05566a2c135293b.jpg,5.6,800,400,11:04:01
+1.0,2012-03-08,2012-03-08 10:43:52,0,3,16b14c37ee7f9411a0307db957dff8b4.jpg,5.6,800,400,10:43:52
+1.0,2013-02-26,2013-02-26 12:12:37,1,1,78b8ff9b9f7c814306216397d7e1d406.jpg,5.6,800,200,12:12:37
+1.0,2012-04-03,2012-04-03 11:06:36,0,3,ef182338759a52990a09b228a90a49f6.jpg,5.6,800,400,11:06:36
+1.0,2012-03-20,2012-03-20 13:55:54,0,3,6ec7ad17e87d50af10f1e146bb5c5538.jpg,5.6,800,400,13:55:54
+1.0,2013-01-28,2013-01-28 12:42:49,1,1,20181631e3c793c983516a3332d57574.jpg,5.6,800,100,12:42:49
+1.0,2013-02-26,2013-02-26 12:23:31,1,1,32616b85a1cbe6c1ba2b6ce43f055f42.jpg,5.6,800,200,12:23:31
+1.0,2013-02-26,2013-02-26 12:06:03,1,1,a064517e36d361d11d058b5499d141b5.jpg,5.6,800,200,12:06:03
+1.0,2012-04-03,2012-04-03 11:11:33,0,3,b94b5002c3c9b14dc33500f8c3ae961e.jpg,5.6,800,400,11:11:33
+1.0,2012-03-20,2012-03-20 12:35:50,0,3,d2119dfcfc15603cf96f2faa67afb96b.jpg,5.6,800,400,12:35:50
+1.0,2012-03-20,2012-03-20 09:42:08,0,3,a9eeef12ee2839189d9cb3d0a12a4f04.jpg,5.6,800,400,09:42:08
+1.0,2013-02-20,2013-02-20 12:26:07,1,1,fc9b214bb60caf30d7cf890e1a96356e.jpg,5.6,800,100,12:26:07
+1.0,2012-04-03,2012-04-03 09:38:09,0,3,efc3fd6e7326342542bc03d5fb3f7cca.jpg,5.6,800,400,09:38:09
+1.0,2013-02-20,2013-02-20 12:11:40,1,1,08d23bb651a5b80a0e7fb3e177d5bd89.jpg,5.6,800,200,12:11:40
+1.0,2013-01-29,2013-01-29 12:09:47,1,1,169bc8fea190ad0083bc4890787dd09f.jpg,5.6,800,100,12:09:47
+1.0,2013-02-26,2013-02-26 12:26:01,1,1,fa7ed5384beea64633866e469426de91.jpg,5.6,800,200,12:26:01
+1.0,2013-01-29,2013-01-29 12:18:03,1,1,ec92b95b0b675e2cfe9db6cd813bd2f7.jpg,5.6,800,100,12:18:03
+1.0,2012-03-20,2012-03-20 15:23:17,0,3,8a51f40e710ac1cd2d960919bcee8403.jpg,5.6,800,400,15:23:17
+1.0,2013-02-20,2013-02-20 12:16:11,1,1,3fcc2782bacdf312d492bc83de816872.jpg,5.6,800,125,12:16:11
+1.0,2012-03-08,2012-03-08 10:48:18,0,3,8c05ea4d2988a73ee13d19824c787c15.jpg,5.6,800,400,10:48:18
+1.0,2012-04-03,2012-04-03 11:09:31,0,3,697bdf4f9d3f9ec49bb1781ecb7bf6c0.jpg,5.6,800,400,11:09:31
+1.0,2013-01-29,2013-01-29 16:24:25,1,1,d2589c8b1aa5cb5c9af0d1fde7b393fe.jpg,5.6,800,320,16:24:25
+1.0,2013-02-26,2013-02-26 12:15:39,1,1,7634e2debe6993d13511e1cf9bf29e55.jpg,5.6,800,200,12:15:39
+1.0,2013-01-28,2013-01-28 12:39:00,1,1,350e19cf44186944933129c49440cef5.jpg,5.6,800,100,12:39:00
+1.0,2012-03-22,2012-03-22 11:08:22,0,3,2684a214a0b7a8f833804aad23be5e08.jpg,5.6,800,400,11:08:22
+1.0,2012-04-03,2012-04-03 11:13:05,0,3,97a8175976b3f71c95c9600dee32da18.jpg,5.6,800,400,11:13:05
+1.0,2012-03-20,2012-03-20 11:05:43,0,3,beae50324ef275e06895fa1cbae00534.jpg,5.6,800,400,11:05:43
+1.0,2013-01-29,2013-01-29 12:09:15,1,1,b00b507c388f2b0d17ff39a261450fc0.jpg,5.6,800,100,12:09:15
+1.0,2013-01-29,2013-01-29 12:11:02,1,1,acdb8dc69676a096066d30ae647f748f.jpg,5.6,800,100,12:11:02
+1.0,2012-03-22,2012-03-22 13:58:33,0,3,b27cc6be567593be0cd4939dbc4b94f7.jpg,5.6,800,400,13:58:33
+1.0,2013-02-19,2013-02-19 16:26:04,1,1,73fa1ab1426baa6d0376fea11a25418b.jpg,5.6,800,320,16:26:04
+1.0,2012-04-03,2012-04-03 12:33:13,0,3,a8c061f21b910b40293057e8613c7d2a.jpg,5.6,800,400,12:33:13
+1.0,2012-03-20,2012-03-20 13:58:26,0,3,a53c075ba2acbe3be31714a8dce7c41d.jpg,5.6,800,400,13:58:26
+1.0,2013-01-29,2013-01-29 16:30:53,1,1,db7dbbadc3ead59778a1c08b8516555d.jpg,5.6,800,500,16:30:53
+1.0,2012-03-20,2012-03-20 09:43:44,0,3,513ff4a92a2296957462249d007780be.jpg,5.6,800,400,09:43:44
+1.0,2013-01-28,2013-01-28 12:40:57,1,1,467ecbe228f6a936dcde3fb16f1bf797.jpg,5.6,800,100,12:40:57
+1.0,2013-02-20,2013-02-20 12:20:18,1,1,f2dcc0c2f9ef5a17cd6cfb4502b5a29d.jpg,5.6,800,100,12:20:18
+1.0,2012-03-08,2012-03-08 10:47:36,0,3,97416926ade020dbfcea93f45a053d55.jpg,5.6,800,400,10:47:36
+1.0,2012-04-03,2012-04-03 11:09:45,0,3,a7fef0f1a50b57c76abef280dbbe4336.jpg,5.6,800,400,11:09:45
+1.0,2013-02-26,2013-02-26 12:04:33,1,1,dac03bc828c51894ac511dcbb374ba08.jpg,5.6,800,160,12:04:33
+1.0,2013-02-19,2013-02-19 16:17:15,1,1,814ad9da26cc05c42d5c1f3fbe05670e.jpg,5.6,800,320,16:17:15
+1.0,2013-01-29,2013-01-29 12:10:36,1,1,87e9be17fee2165d788884c91cdaaf3b.jpg,5.6,800,100,12:10:36
+1.0,2012-03-22,2012-03-22 11:05:59,0,3,e2e2efccb6528687772d7d29ed755373.jpg,5.6,800,400,11:05:59
+1.0,2012-03-20,2012-03-20 12:29:08,0,3,a22c960106e8097f56dbef839837db76.jpg,5.6,800,400,12:29:08
+1.0,2012-04-03,2012-04-03 09:44:35,0,3,8ac6a8949af28177f4d8d4a31967a356.jpg,5.6,800,400,09:44:35
+1.0,2012-03-06,2012-03-06 13:31:27,0,3,e519d33d0000cf54d44c13a8ff0a839f.jpg,5.6,800,400,13:31:27
+1.0,2012-03-06,2012-03-06 13:29:35,0,3,c22cedad93acbc8ce220da69be0faf11.jpg,5.6,800,400,13:29:35
+1.0,2013-01-28,2013-01-28 12:34:19,1,1,5c7abbf7b1b1f992a5aeff55dd70f21d.jpg,5.6,800,100,12:34:19
+1.0,2012-03-08,2012-03-08 10:43:47,0,3,948ffc99022140fe71a1ab034e5beb0f.jpg,5.6,800,400,10:43:47
+1.0,2013-01-29,2013-01-29 16:25:47,1,1,fef0834296bc4851ecd9349f33f80496.jpg,5.6,800,320,16:25:47
+1.0,2013-02-20,2013-02-20 12:19:29,1,1,c82a3b3e20f36c1103ec795456651497.jpg,5.6,800,100,12:19:29
+1.0,2012-04-03,2012-04-03 09:38:53,0,3,91d4fccefbd681be832e4bf4d2336158.jpg,5.6,800,400,09:38:53
+1.0,2012-02-23,2012-02-23 14:56:07,0,3,647aafb8615b9391b77449bfeaa04fb5.jpg,5.6,800,400,14:56:07
+1.0,2013-02-20,2013-02-20 12:04:58,1,1,9587bb565d6806150fce1542f476aabe.jpg,5.6,800,200,12:04:58
+1.0,2013-02-20,2013-02-20 12:40:02,1,1,8162f129bcad7c80c6e49ec46189e37f.jpg,5.6,800,100,12:40:02
+1.0,2013-01-29,2013-01-29 16:21:30,1,1,4a30ea5cdd3b97e197be307198a46889.jpg,5.6,800,200,16:21:30
+1.0,2013-01-29,2013-01-29 16:25:53,1,1,9e318e22e88b28c42a53cb65af640e91.jpg,5.6,800,400,16:25:53
+1.0,2012-03-20,2012-03-20 12:33:03,0,3,54d872681d095fcdf97d254062e089e9.jpg,5.6,800,400,12:33:03
+1.0,2013-02-26,2013-02-26 12:44:00,1,1,8b7ca1952b95a36a188aa66a32aaf828.jpg,5.6,800,200,12:44:00
+1.0,2013-01-28,2013-01-28 12:36:18,1,1,8e3dd64936dd2381bc2fcaab705d42d2.jpg,5.6,800,100,12:36:18
+1.0,2013-01-28,2013-01-28 12:34:47,1,1,53afa057d6f17c04fea927a624343f9c.jpg,5.6,800,100,12:34:47
+1.0,2013-01-29,2013-01-29 16:25:20,1,1,6a783e4bdbf0bd907d17a4b5c69c01e7.jpg,5.6,800,250,16:25:20
+1.0,2013-02-26,2013-02-26 12:15:22,1,1,ae6c8fbe4b02615e882d00a1688ba858.jpg,5.6,800,200,12:15:22
+1.0,2012-03-20,2012-03-20 13:57:54,0,3,61a8906ddeda65eb631bcce0c599df51.jpg,5.6,800,400,13:57:54
+1.0,2012-03-20,2012-03-20 09:42:38,0,3,d4a2ce9ccfa2ce369a62161650a9571b.jpg,5.6,800,400,09:42:38
+1.0,2012-03-22,2012-03-22 11:10:37,0,3,4251e7ffb47514b1628d553a263fd9e6.jpg,5.6,800,400,11:10:37
+1.0,2012-03-20,2012-03-20 13:57:31,0,3,dfbf251d6e53ce2857544d449a14cd1d.jpg,5.6,800,400,13:57:31
+1.0,2013-01-28,2013-01-28 12:33:28,1,1,cf8f3d738f0a278fb0b0c023923d00e5.jpg,5.6,800,100,12:33:28
+1.0,2013-01-28,2013-01-28 12:38:06,1,1,64dc4485d9b6ce699edbe5f315962bea.jpg,5.6,800,100,12:38:06
+1.0,2012-03-20,2012-03-20 13:56:12,0,3,348ac577ce27342fb208d8c13453c492.jpg,5.6,800,400,13:56:12
+1.0,2012-04-03,2012-04-03 11:05:59,0,3,5fba1a46950776214b5fd8ae54ec582d.jpg,5.6,800,400,11:05:59
+1.0,2013-01-29,2013-01-29 16:35:14,1,1,aa0d351a0a415375ae3fcbd2e9c3fc2f.jpg,5.6,800,320,16:35:14
+1.0,2012-04-03,2012-04-03 09:38:42,0,3,216aa75b6994561af4830f86d6dd292c.jpg,5.6,800,400,09:38:42
+1.0,2012-03-06,2012-03-06 13:27:58,0,3,51da7e0979404be9e6841db2c76e159a.jpg,5.6,800,400,13:27:58
+1.0,2013-01-28,2013-01-28 12:39:53,1,1,d0976b796eb229b2a94c2f5aed9f82dd.jpg,5.6,800,100,12:39:53
+1.0,2013-02-13,2013-02-13 12:54:49,1,1,8eb041870ddfd095d52bb7bc95342b38.jpg,5.6,800,100,12:54:49
+1.0,2013-01-29,2013-01-29 12:07:56,1,1,148e78a1b10ebffc081915252ccd6dc3.jpg,5.6,800,100,12:07:56
+1.0,2013-01-29,2013-01-29 12:16:21,1,1,62ddd7d8bbe0bcceb5119d22e2f6ccff.jpg,5.6,800,100,12:16:21
+1.0,2013-01-29,2013-01-29 12:09:34,1,1,42ca653dca10615be6227261aa7c3823.jpg,5.6,800,100,12:09:34
+1.0,2013-01-29,2013-01-29 16:29:29,1,1,ced36d185c26fbaa91cf7b06da026c75.jpg,5.6,800,250,16:29:29
+1.0,2012-04-03,2012-04-03 09:37:26,0,3,d3b15630749be13fe04233c01d1000bc.jpg,5.6,800,400,09:37:26
+1.0,2013-01-29,2013-01-29 12:32:03,1,1,20df06db11c5d23c70f86e364c83977c.jpg,5.6,800,100,12:32:03
+1.0,2013-01-29,2013-01-29 12:33:46,1,1,31671ada47474cd3210178a0fbd393f5.jpg,5.6,800,100,12:33:46
+1.0,2012-04-03,2012-04-03 12:37:25,0,3,01af7bca29d6d8dd00e3bf646019bf7d.jpg,5.6,800,400,12:37:25
+1.0,2013-01-28,2013-01-28 12:33:09,1,1,13a26480f95f736b728cc49d4dd13c10.jpg,5.6,800,100,12:33:09
+1.0,2012-04-03,2012-04-03 09:41:24,0,3,b54b9ba5fc1a517b0b67e7c7465fb587.jpg,5.6,800,400,09:41:24
+1.0,2013-02-19,2013-02-19 16:21:46,1,1,3750249feb2ada36c746cc3cff5157cc.jpg,5.6,800,320,16:21:46
+1.0,2013-02-20,2013-02-20 12:40:00,1,1,66c01f0919ae545aca74d82a2e6d75b8.jpg,5.6,800,100,12:40:00
+1.0,2013-01-28,2013-01-28 12:34:44,1,1,b3d5e72847e8311fba0e6643439f4bf9.jpg,5.6,800,100,12:34:44
+1.0,2013-02-19,2013-02-19 16:25:58,1,1,0957f7eada2980089327d1182af0e6b9.jpg,5.6,800,400,16:25:58
+1.0,2013-01-29,2013-01-29 12:11:51,1,1,5e593aedfdc7c2a44e0e3ec98919524c.jpg,5.6,800,100,12:11:51
+1.0,2012-04-03,2012-04-03 11:07:47,0,3,465fedd405bfbf0e81d5b86281266c5c.jpg,5.6,800,400,11:07:47
+1.0,2013-01-28,2013-01-28 12:42:24,1,1,19e05ba91bab661df0d35d20bc6d023e.jpg,5.6,800,100,12:42:24
+1.0,2013-01-28,2013-01-28 12:38:32,1,1,8f120af556ac52bc97ab4aae6edb2800.jpg,5.6,800,100,12:38:32
+1.0,2013-01-28,2013-01-28 12:40:24,1,1,e38e119ab1ff88894263e1ad5c8c5f44.jpg,5.6,800,100,12:40:24
+1.0,2013-01-28,2013-01-28 12:37:47,1,1,ad22443b039f428e8faaf71e0080eec9.jpg,5.6,800,100,12:37:47
+1.0,2012-03-20,2012-03-20 13:57:56,0,3,638cb28dbd0c9f4e0c86819d9f69f824.jpg,5.6,800,400,13:57:56
+1.0,2012-03-08,2012-03-08 10:43:58,0,3,2fba26889ad1c027a9e5be4da4f08593.jpg,5.6,800,400,10:43:58
+1.0,2012-03-20,2012-03-20 15:24:18,0,3,eb971ae0bbf6cf158f48dfef732e2ae2.jpg,5.6,800,400,15:24:18
+1.0,2013-01-29,2013-01-29 16:22:33,1,1,7d074e35538b1c01c3e63e5e5bca9c74.jpg,5.6,800,320,16:22:33
+1.0,2012-04-03,2012-04-03 12:33:10,0,3,4bc0db66f10a3c37fcb3cf71f8c2a9fe.jpg,5.6,800,400,12:33:10
+1.0,2013-02-20,2013-02-20 12:34:08,1,1,feda47072ba761c7948fc5ed090d21dc.jpg,5.6,800,100,12:34:08
+1.0,2013-02-26,2013-02-26 12:26:27,1,1,5a05c961523ad3cfcd1d1a97976e7cff.jpg,5.6,800,200,12:26:27
+1.0,2013-02-13,2013-02-13 12:13:39,1,1,15dc152f736a61d536c5cbb33f0bd4b8.jpg,5.6,800,100,12:13:39
+1.0,2013-01-29,2013-01-29 12:07:28,1,1,c1bcddddcc09ab7834e049665ef57adc.jpg,5.6,800,100,12:07:28
+1.0,2012-04-03,2012-04-03 11:05:47,0,3,4aa75f9916fb9f1c0e8563f1ee8d7164.jpg,5.6,800,400,11:05:47
+1.0,2012-04-03,2012-04-03 11:08:19,0,3,3a3a295f9c89b19f39aa07db82a1b6d5.jpg,5.6,800,400,11:08:19
+1.0,2012-04-03,2012-04-03 09:37:29,0,3,54b98416fab3e0a72c25976159c3ff2a.jpg,5.6,800,400,09:37:29
+1.0,2012-03-20,2012-03-20 09:40:53,0,3,3021f5723e5af668c77ef2e41423dcf8.jpg,5.6,800,400,09:40:53
+1.0,2012-02-23,2012-02-23 14:54:48,0,3,98121d42d25bd05cde6772d2dcc598ff.jpg,5.6,800,400,14:54:48
+1.0,2013-02-13,2013-02-13 12:53:18,1,1,0790f02de097f4bebe85b071a666dcf1.jpg,5.6,800,100,12:53:18
+1.0,2012-03-20,2012-03-20 12:30:38,0,3,192b41593882f0e66dee300e355fc728.jpg,5.6,800,400,12:30:38
+1.0,2013-02-26,2013-02-26 12:26:02,1,1,c3b89ad19c932662fbf45ee03a056434.jpg,5.6,800,200,12:26:02
+1.0,2013-01-28,2013-01-28 12:33:59,1,1,9a3104ebee23370b344e0166906a132d.jpg,5.6,800,100,12:33:59
+1.0,2013-01-28,2013-01-28 12:37:48,1,1,789f2f868547f78ee83a7eea9140b52a.jpg,5.6,800,100,12:37:48
+1.0,2012-03-08,2012-03-08 12:12:26,0,3,4e7fc0236fac00e4601e7f5fce89572c.jpg,5.6,800,400,12:12:26
+1.0,2013-02-19,2013-02-19 16:28:24,1,1,4b0dbe05228e2517d269b4cf45ac12f0.jpg,5.6,800,320,16:28:24
+1.0,2012-03-20,2012-03-20 12:30:46,0,3,64c7fba12d7ae9ada1f4c650a4d2749b.jpg,5.6,800,400,12:30:46
+1.0,2013-02-13,2013-02-13 12:14:17,1,1,538c80b6351d868bf8757300de4cca2f.jpg,5.6,800,100,12:14:17
+1.0,2012-04-03,2012-04-03 09:36:52,0,3,cc756b377514776d768d1c040d8f351c.jpg,5.6,800,400,09:36:52
+1.0,2012-04-03,2012-04-03 12:34:52,0,3,1e8b59369409a5dca47f6382031c2177.jpg,5.6,800,400,12:34:52
+1.0,2012-03-08,2012-03-08 14:55:08,0,3,b626505cf8084ae04a964941fe25e803.jpg,5.6,800,400,14:55:08
+1.0,2013-01-28,2013-01-28 12:36:04,1,1,383b85fa9ef5ab19325b948f27233b1e.jpg,5.6,800,100,12:36:04
+1.0,2013-02-20,2013-02-20 12:19:42,1,1,270a678b3e529075047cc1ed305d4cf2.jpg,5.6,800,100,12:19:42
+1.0,2013-02-19,2013-02-19 16:29:36,1,1,89e37a1c265bf000afd387bf25f41f5e.jpg,5.6,800,320,16:29:36
+1.0,2012-03-20,2012-03-20 12:30:14,0,3,b9f8278cc9f2d48760fefb1e8d9f2379.jpg,5.6,800,400,12:30:14
+1.0,2012-04-03,2012-04-03 11:05:56,0,3,c0cc882d1f6d40817287ba93d5382ec0.jpg,5.6,800,400,11:05:56
+1.0,2013-01-29,2013-01-29 16:34:54,1,1,a655016ab0593d0f8e1986472de98930.jpg,5.6,800,800,16:34:54
+1.0,2013-01-29,2013-01-29 16:26:55,1,1,fd88bada41537ff8ffae10f9b8595e39.jpg,5.6,800,200,16:26:55
+1.0,2012-03-20,2012-03-20 15:23:18,0,3,670bdfbce7bcad96fd926e08fa536957.jpg,5.6,800,400,15:23:18
+1.0,2013-01-28,2013-01-28 12:38:16,1,1,cc85f2ec6023f714ef1f94b488cf8925.jpg,5.6,800,100,12:38:16
+1.0,2013-02-26,2013-02-26 12:14:26,1,1,f9fe5e92f4cbedaaa610166707d19c3f.jpg,5.6,800,200,12:14:26
+1.0,2012-03-06,2012-03-06 13:28:29,0,3,e577e7e155efbfbb148453d11835d218.jpg,5.6,800,400,13:28:29
+1.0,2012-04-03,2012-04-03 11:10:48,0,3,bb35c1484e092c2ed81a5e0aa5cad696.jpg,5.6,800,400,11:10:48
+1.0,2012-04-03,2012-04-03 09:44:52,0,3,49c1738ddf652c9d9a843e3fe3d243d4.jpg,5.6,800,400,09:44:52
+1.0,2013-02-20,2013-02-20 12:39:53,1,1,7118ff297cda13ad62f7069de8c80d19.jpg,5.6,800,100,12:39:53
+1.0,2013-02-26,2013-02-26 12:30:02,1,1,25f44b2c05ffd0326c4783c6d5594b74.jpg,5.6,800,200,12:30:02
+1.0,2012-03-08,2012-03-08 14:54:32,0,3,2ebe31e397c8b667128dd2506aa3be94.jpg,5.6,800,400,14:54:32
+1.0,2013-01-28,2013-01-28 12:38:43,1,1,f5b6ab3b56ef8369238576c962950546.jpg,5.6,800,100,12:38:43
+1.0,2012-02-23,2012-02-23 14:54:45,0,3,c59ce7cd4425c104039926b0dc316d13.jpg,5.6,800,400,14:54:45
+1.0,2013-01-28,2013-01-28 12:42:04,1,1,baed9a1bd923b92f221ec52263683b90.jpg,5.6,800,100,12:42:04
+1.0,2013-01-28,2013-01-28 12:40:44,1,1,182cb43cfe916ef5a81b84555bc2bbfe.jpg,5.6,800,100,12:40:44
+1.0,2012-03-20,2012-03-20 09:46:34,0,3,d655f52b7cf868f7cecff8b3f26f3cb8.jpg,5.6,800,400,09:46:34
+1.0,2013-02-20,2013-02-20 12:34:18,1,1,6124d7f56b82ab05fed40525d29383ca.jpg,5.6,800,100,12:34:18
+1.0,2012-03-20,2012-03-20 11:08:45,0,3,a8b7b0dc049fac253950b73118a99c55.jpg,5.6,800,400,11:08:45
+1.0,2013-01-28,2013-01-28 12:40:03,1,1,b01aeb831c34ed604f472930284f56d7.jpg,5.6,800,100,12:40:03
+1.0,2012-04-03,2012-04-03 11:05:21,0,3,90c7397ac7501a60a6d43d525de1e48f.jpg,5.6,800,400,11:05:21
+1.0,2012-03-20,2012-03-20 13:56:17,0,3,081832270b804e8c23e6f5f1e68cd436.jpg,5.6,800,400,13:56:17
+1.0,2013-02-19,2013-02-19 16:34:05,1,1,241febbe6aebf3f23793bccdb01c0ea6.jpg,5.6,800,320,16:34:05
+1.0,2013-01-28,2013-01-28 12:34:14,1,1,05b10dd77b70d7dd1890e327247c8afd.jpg,5.6,800,100,12:34:14
+1.0,2012-04-03,2012-04-03 09:44:38,0,3,3ff0071149cae86e115c8b80d445ed46.jpg,5.6,800,400,09:44:38
+1.0,2012-03-20,2012-03-20 11:08:28,0,3,8ecb7a15d255ab0bcd1fce99b6f8bf0c.jpg,5.6,800,400,11:08:28
+1.0,2012-03-20,2012-03-20 11:05:35,0,3,9b17d529e60192bb3990dc90338b1e23.jpg,5.6,800,400,11:05:35
+1.0,2013-02-20,2013-02-20 12:17:25,1,1,fd706415dc1ff350f6db7df994cfd566.jpg,5.6,800,100,12:17:25
+1.0,2012-03-22,2012-03-22 11:06:49,0,3,deed2ba1978ae6a74b048853a44de025.jpg,5.6,800,400,11:06:49
+1.0,2012-04-03,2012-04-03 12:32:16,0,3,44305282355da79279120ca5c3f5f27a.jpg,5.6,800,400,12:32:16
+1.0,2013-01-28,2013-01-28 12:39:01,1,1,759de3ca0de32c5c12fa250f75100602.jpg,5.6,800,100,12:39:01
+1.0,2013-02-20,2013-02-20 12:01:53,1,1,4c970ddda42c08ae045892deb6aea195.jpg,5.6,800,200,12:01:53
+1.0,2013-02-19,2013-02-19 16:14:38,1,1,b20efc85332725df19b4ff4e4b85c8cb.jpg,5.6,800,320,16:14:38
+1.0,2013-01-29,2013-01-29 12:08:29,1,1,12d1f25f7da5fb953c244b60fb98b975.jpg,5.6,800,100,12:08:29
+1.0,2012-03-20,2012-03-20 15:25:07,0,3,800ca2dc3e3afbdd99da37fb05320f68.jpg,5.6,800,400,15:25:07
+1.0,2013-02-20,2013-02-20 12:12:06,1,1,ed6369b15b24c1bbc70681865babed67.jpg,5.6,800,160,12:12:06
+1.0,2012-03-20,2012-03-20 11:09:18,0,3,bf9af4b01ccc31e100bdf05462270fb7.jpg,5.6,800,400,11:09:18
+1.0,2012-03-20,2012-03-20 11:08:25,0,3,71f511aed88fce98ed23046519a1b9a4.jpg,5.6,800,400,11:08:25
+1.0,2012-03-20,2012-03-20 13:55:45,0,3,2113c4b390a01be9d22fbb9495a2ad80.jpg,5.6,800,400,13:55:45
+1.0,2012-03-20,2012-03-20 11:05:48,0,3,6f2f9170c8d118b3a001bff53cc8abba.jpg,5.6,800,400,11:05:48
+1.0,2013-02-19,2013-02-19 16:25:07,1,1,4d7ddacbd48119c3888d8c728968fc36.jpg,5.6,800,320,16:25:07
+1.0,2012-03-20,2012-03-20 11:09:21,0,3,b5fd1b85a544eec77735a31075419765.jpg,5.6,800,400,11:09:21
+1.0,2012-03-20,2012-03-20 15:24:10,0,3,a2e67ba22389a8cdca448c951fcd64cc.jpg,5.6,800,400,15:24:10
+1.0,2012-03-20,2012-03-20 12:31:39,0,3,38aef45f358772e34a2b2f5a4872055a.jpg,5.6,800,400,12:31:39
+1.0,2012-03-20,2012-03-20 13:56:27,0,3,e2bcd7f2c0ba76afbc3f1873e1a85acf.jpg,5.6,800,400,13:56:27
+1.0,2013-01-29,2013-01-29 12:16:55,1,1,b67b98e83a302b500a5605e9c7c64b68.jpg,5.6,800,100,12:16:55
+1.0,2013-01-29,2013-01-29 16:23:45,1,1,582debfb46adc8d3f19690a29fae9be7.jpg,5.6,800,500,16:23:45
+1.0,2013-02-20,2013-02-20 12:44:23,1,1,fe039b1709b5b76e9d388d742d5f1abe.jpg,5.6,800,100,12:44:23
+1.0,2013-02-19,2013-02-19 16:14:45,1,1,56ea11ec3972e9459c4d484d3829ca38.jpg,5.6,800,250,16:14:45
+1.0,2012-03-20,2012-03-20 12:33:47,0,3,da98063fdc65d85a5e8391ac40050b3e.jpg,5.6,800,400,12:33:47
+1.0,2013-01-28,2013-01-28 12:33:27,1,1,fb3a8000093161cb2f5381f0b5a52d32.jpg,5.6,800,100,12:33:27
+1.0,2012-03-20,2012-03-20 12:34:24,0,3,2cdcfce8365fae49f7acbaaa2d71c054.jpg,5.6,800,400,12:34:24
+1.0,2013-02-13,2013-02-13 12:53:15,1,1,82e15d25e935e7f61317d71ab1e41393.jpg,5.6,800,100,12:53:15
+1.0,2013-01-29,2013-01-29 12:09:10,1,1,1fe38e8c3809ca91e66ba3843f835a09.jpg,5.6,800,100,12:09:10
+1.0,2013-01-29,2013-01-29 12:33:43,1,1,63d0b92a4a86f67c95e6d67ac4ee215c.jpg,5.6,800,100,12:33:43
+1.0,2012-03-20,2012-03-20 12:32:17,0,3,2acfcdcb1a82f6531478fb938dd4d27c.jpg,5.6,800,400,12:32:17
+1.0,2012-03-20,2012-03-20 15:23:29,0,3,0eeeb81b6b959255a18df27c1a1a7ffc.jpg,5.6,800,400,15:23:29
+1.0,2013-01-29,2013-01-29 12:33:31,1,1,bf3a667a92b6749d9ea392ad13914094.jpg,5.6,800,100,12:33:31
+1.0,2012-03-22,2012-03-22 11:05:03,0,3,d3cb1586446d4f6cec7abb1d091a60dd.jpg,5.6,800,400,11:05:03
+1.0,2012-04-03,2012-04-03 09:38:42,0,3,e39b7ae4c65c944789a35e71b53b67ad.jpg,5.6,800,400,09:38:42
+1.0,2012-03-13,2012-03-13 11:09:37,0,3,1d1e73039f2c627e4d9ad43d66107d02.jpg,5.6,800,400,11:09:37
+1.0,2013-02-19,2013-02-19 16:25:13,1,1,d8678f07695c9e2a929293d592c56784.jpg,5.6,800,320,16:25:13
+1.0,2013-02-26,2013-02-26 12:17:33,1,1,e8fe053c894aa0b06447907e6f318e8c.jpg,5.6,800,250,12:17:33
+1.0,2012-03-08,2012-03-08 10:47:37,0,3,da0f408fc1e023fd1b36d61f60e0d018.jpg,5.6,800,400,10:47:37
+1.0,2012-04-03,2012-04-03 09:36:54,0,3,9c4c082424f8a25f677d4860e4e1defa.jpg,5.6,800,400,09:36:54
+1.0,2012-03-20,2012-03-20 12:28:38,0,3,41305192d5b675bf4a2bcf7da3b6ff08.jpg,5.6,800,400,12:28:38
+1.0,2013-02-26,2013-02-26 12:31:45,1,1,4d26f6fd6f685833174d4b1f80fbedcd.jpg,5.6,800,200,12:31:45
+1.0,2013-02-20,2013-02-20 12:06:01,1,1,45da9e397cc01c44a59cec48baa4875a.jpg,5.6,800,200,12:06:01
+1.0,2012-04-24,2012-04-24 09:42:03,0,3,fb2f7f3f9af00be9fea333a50ea8177e.jpg,5.6,800,400,09:42:03
+1.0,2012-03-22,2012-03-22 11:11:24,0,3,27cdbdfedce6c8dd55448601536268e0.jpg,5.6,800,400,11:11:24
+1.0,2012-03-20,2012-03-20 13:58:40,0,3,4709d9ea5f82d63d0c24160552858b0e.jpg,5.6,800,400,13:58:40
+1.0,2013-02-13,2013-02-13 12:15:12,1,1,22f5e9b33a94b57f3334a25e5689123e.jpg,5.6,800,100,12:15:12
+1.0,2012-04-03,2012-04-03 12:31:12,0,3,c33b63c790538510c24f9515b09b10ea.jpg,5.6,800,400,12:31:12
+1.0,2013-02-20,2013-02-20 12:06:21,1,1,6ee56fd4b3d012e9ab3ea27b03688649.jpg,5.6,800,200,12:06:21
+1.0,2013-02-20,2013-02-20 12:44:16,1,1,9ef7c2f8224d41f6210f69f05d780c77.jpg,5.6,800,125,12:44:16
+1.0,2013-02-13,2013-02-13 12:08:01,1,1,e74d4b06490551da774e0c2855f36a62.jpg,5.6,800,100,12:08:01
+1.0,2012-03-20,2012-03-20 13:58:00,0,3,66c5a293cb7f0bcac6785791d1a1544c.jpg,5.6,800,400,13:58:00
+1.0,2013-02-20,2013-02-20 12:23:55,1,1,219ea14b50888c16f71010ebae2e411c.jpg,5.6,800,100,12:23:55
+1.0,2013-01-29,2013-01-29 16:26:07,1,1,228e9425bf2d5e29845bd97103051993.jpg,5.6,800,400,16:26:07
+1.0,2013-01-29,2013-01-29 16:34:11,1,1,3192bb815c778c13db1ca7d8aef029f5.jpg,5.6,800,320,16:34:11
+1.0,2013-02-26,2013-02-26 12:09:35,1,1,9bf4d5996f565e00897f454928672ed7.jpg,5.6,800,200,12:09:35
+1.0,2012-03-20,2012-03-20 12:30:00,0,3,cbff23ba543cf9c2a27ebaaf32f2361b.jpg,5.6,800,400,12:30:00
+1.0,2012-02-23,2012-02-23 14:55:18,0,3,2553b11f34bb54255c883278667acf25.jpg,5.6,800,400,14:55:18
+1.0,2012-03-20,2012-03-20 13:56:17,0,3,eb8cac087b2cdac0b2b82855dad20ac5.jpg,5.6,800,400,13:56:17
+1.0,2012-04-03,2012-04-03 11:04:04,0,3,1e69935152fae0a5a9ec6a91f2284df4.jpg,5.6,800,400,11:04:04
+1.0,2013-02-13,2013-02-13 12:29:03,1,1,97c883c0b4a8e7a442f317deaf8f9123.jpg,5.6,800,100,12:29:03
+1.0,2012-04-03,2012-04-03 11:12:01,0,3,9fde113afb242af30e9afe62189b04b4.jpg,5.6,800,400,11:12:01
+1.0,2013-01-28,2013-01-28 12:41:23,1,1,1c3c4887f93324ae4e57a39100322d8b.jpg,5.6,800,100,12:41:23
+1.0,2012-03-20,2012-03-20 13:57:20,0,3,fda3f9cb8b1ed91f2f37386e691d0a68.jpg,5.6,800,400,13:57:20
+1.0,2012-03-20,2012-03-20 12:35:08,0,3,9cc5fc765d712570cf5c6efe4d11fc58.jpg,5.6,800,400,12:35:08
+1.0,2013-02-20,2013-02-20 12:07:33,1,1,f4982800cbf4926e92cbbef7e44ee70b.jpg,5.6,800,200,12:07:33
+1.0,2012-03-20,2012-03-20 12:28:39,0,3,dfb287d076b3ca82e96f2400ec74a0e6.jpg,5.6,800,400,12:28:39
+1.0,2012-03-22,2012-03-22 11:10:17,0,3,3cc81798e6285e4e77106eae5e12b216.jpg,5.6,800,400,11:10:17
+1.0,2013-01-28,2013-01-28 12:38:08,1,1,495b5b82cecb44ab5a95863b654f2b9b.jpg,5.6,800,100,12:38:08
+1.0,2012-03-13,2012-03-13 11:11:31,0,3,9d772a79866ed418c6f0d4def29e8984.jpg,5.6,800,400,11:11:31
+1.0,2013-01-28,2013-01-28 12:37:20,1,1,1e45a65b2b6c64b81760d79788e425ae.jpg,5.6,800,100,12:37:20
+1.0,2013-01-28,2013-01-28 12:35:33,1,1,479bf77f85b16578cad8b2e2d4b34ea4.jpg,5.6,800,100,12:35:33
+1.0,2013-02-20,2013-02-20 12:39:37,1,1,7c2a1f14d247a77cbad6beeb31259065.jpg,5.6,800,100,12:39:37
+1.0,2013-02-26,2013-02-26 12:18:00,1,1,eabcd77094031326e93b1d8d6178252e.jpg,5.6,800,200,12:18:00
+1.0,2012-03-06,2012-03-06 13:32:47,0,3,33ac98a55286b5ed66fac3033108b197.jpg,5.6,800,400,13:32:47
+1.0,2013-02-26,2013-02-26 12:05:16,1,1,3369ba12ec0e00961d4fc31a821e0c47.jpg,5.6,800,160,12:05:16
+1.0,2012-03-20,2012-03-20 09:46:46,0,3,06fae239f84d442b42789b6ed9545c3d.jpg,5.6,800,400,09:46:46
+1.0,2013-02-20,2013-02-20 12:26:24,1,1,ce41926f89263c1f049e97e83d4daaf9.jpg,5.6,800,100,12:26:24
+1.0,2013-02-19,2013-02-19 16:34:40,1,1,66227b8ac082e163a3764b5c3498b291.jpg,5.6,800,320,16:34:40
+1.0,2012-04-03,2012-04-03 09:44:13,0,3,66df7e9e294fd212e543c7a318ec055a.jpg,5.6,800,400,09:44:13
+1.0,2013-02-26,2013-02-26 12:15:34,1,1,8d3f1d82ea7af7900ce8373f4a790bd4.jpg,5.6,800,200,12:15:34
+1.0,2013-02-19,2013-02-19 16:26:37,1,1,98302c7b4e814b5298b7bc918f6a5d57.jpg,5.6,800,320,16:26:37
+1.0,2012-03-20,2012-03-20 09:46:35,0,3,45783b46ea8437e79316feef78f0b2e1.jpg,5.6,800,400,09:46:35
+1.0,2012-03-06,2012-03-06 13:29:17,0,3,eb2a1455eeb0e014432efd41d7180af8.jpg,5.6,800,400,13:29:17
+1.0,2013-02-19,2013-02-19 16:25:59,1,1,5033375608b2896ed275f9b3b26155d2.jpg,5.6,800,320,16:25:59
+1.0,2012-03-06,2012-03-06 13:32:27,0,3,28c92b21c91094b7e7917705f3d87ce7.jpg,5.6,800,400,13:32:27
+1.0,2013-01-29,2013-01-29 16:25:47,1,1,f103d135b038c4a9731670294f2e27e0.jpg,5.6,800,400,16:25:47
+1.0,2012-03-22,2012-03-22 11:08:03,0,3,ecf42a9b8575b33ec8dd19fd9640a006.jpg,5.6,800,400,11:08:03
+1.0,2012-03-20,2012-03-20 09:46:36,0,3,85a4ae19b6bc133bf7c25ca023ce5d24.jpg,5.6,800,400,09:46:36
+1.0,2013-01-29,2013-01-29 12:17:09,1,1,b025f8e52e80b3acf6a3b5120e25ee2f.jpg,5.6,800,100,12:17:09
+1.0,2012-03-06,2012-03-06 13:28:23,0,3,de2325af47723dca7aa147f862f8567c.jpg,5.6,800,400,13:28:23
+1.0,2013-01-28,2013-01-28 12:41:53,1,1,65d139f59cabc7f92b6140f2b6adf55d.jpg,5.6,800,100,12:41:53
+1.0,2013-01-29,2013-01-29 16:33:03,1,1,05a9935715408d4847b69cbf0e8e88d5.jpg,5.6,800,640,16:33:03
+1.0,2012-03-22,2012-03-22 11:05:01,0,3,707e6bb9d188664131baf26c235479e6.jpg,5.6,800,400,11:05:01
+1.0,2012-03-08,2012-03-08 14:53:41,0,3,ed146b06bc24184307c1248d18d924f7.jpg,5.6,800,400,14:53:41
+1.0,2013-02-13,2013-02-13 12:04:48,1,1,2b5351473cdb2c92ec8b9b3e7febcbcd.jpg,5.6,800,160,12:04:48
+1.0,2012-03-20,2012-03-20 12:33:52,0,3,1b837820bee23afd29134a53878cbfb7.jpg,5.6,800,400,12:33:52
+1.0,2012-04-03,2012-04-03 12:26:31,0,3,7a82f301f5edda5033fbb856c968e703.jpg,5.6,800,400,12:26:31
+1.0,2013-02-20,2013-02-20 12:10:55,1,1,959d24f04ffc2b0c8d6031c72cfc07ab.jpg,5.6,800,200,12:10:55
+1.0,2012-04-03,2012-04-03 12:35:42,0,3,cfb593f9972e05eaf59b473dd762f0f1.jpg,5.6,800,400,12:35:42
+1.0,2013-01-28,2013-01-28 12:40:10,1,1,9a66722df73280e1509a55992b684b48.jpg,5.6,800,100,12:40:10
+1.0,2013-02-26,2013-02-26 12:05:08,1,1,b4a7489fa6600921e22f9e708dec51cb.jpg,5.6,800,160,12:05:08
+1.0,2012-04-03,2012-04-03 09:36:26,0,3,37a7438dbd6feb552cc3fe636ebae050.jpg,5.6,800,400,09:36:26
+1.0,2013-01-28,2013-01-28 12:34:06,1,1,cd0f0f97f00d535e43c836ae65158dd3.jpg,5.6,800,100,12:34:06
+1.0,2013-02-19,2013-02-19 16:18:16,1,1,3b83ed83226964aeeafd151c54af0982.jpg,5.6,800,320,16:18:16
+1.0,2013-01-28,2013-01-28 12:41:49,1,1,a0bf5e945dda980759e64dca1da51cd4.jpg,5.6,800,100,12:41:49
+1.0,2013-02-13,2013-02-13 13:00:25,1,1,42f80266c18afbc559a3ff9992a0d0f1.jpg,5.6,800,100,13:00:25
+1.0,2013-02-20,2013-02-20 12:26:18,1,1,cffceae7cef655d798fea5907a65c62f.jpg,5.6,800,100,12:26:18
+1.0,2013-01-29,2013-01-29 16:34:53,1,1,d2399e79f0305dfc2baf7e4f3d0ca5c9.jpg,5.6,800,800,16:34:53
+1.0,2012-02-23,2012-02-23 14:58:06,0,3,6696cd86d6e58ff2ef239d005d8c6444.jpg,5.6,800,400,14:58:06
+1.0,2013-01-29,2013-01-29 16:27:52,1,1,090fc70d0b99f464d5ac786f76564683.jpg,5.6,800,320,16:27:52
+1.0,2013-01-29,2013-01-29 12:08:22,1,1,526684664a085e0d089da69b1ca90fdc.jpg,5.6,800,100,12:08:22
+1.0,2012-04-03,2012-04-03 09:45:06,0,3,62fae7b9d955de7ee792ece2f955be2f.jpg,5.6,800,400,09:45:06
+1.0,2012-04-03,2012-04-03 09:37:45,0,3,6bbc1345e4ed41c9c6d5951fc7f04f56.jpg,5.6,800,400,09:37:45
+1.0,2013-02-20,2013-02-20 12:07:52,1,1,63d59927e14d2194d492f0493bfae922.jpg,5.6,800,200,12:07:52
+1.0,2013-01-28,2013-01-28 12:38:32,1,1,e970d8cf33e44cced6bcecf2a02ebc58.jpg,5.6,800,100,12:38:32
+1.0,2013-02-13,2013-02-13 12:34:20,1,1,1190ed13ca54c628ac063eaee7730fd2.jpg,5.6,800,100,12:34:20
+1.0,2013-02-19,2013-02-19 16:14:45,1,1,d1e2811b4b96202f2e8e99a54333f51c.jpg,5.6,800,250,16:14:45
+1.0,2013-02-20,2013-02-20 12:03:16,1,1,e07b5167d251820d11530f52f49f2c75.jpg,5.6,800,160,12:03:16
+1.0,2012-03-20,2012-03-20 09:43:43,0,3,ce08e2dd22b6a78746f8abd0eda8007f.jpg,5.6,800,400,09:43:43
+1.0,2012-03-06,2012-03-06 13:29:26,0,3,21882556baca12d2e7a36d3fd97b69d9.jpg,5.6,800,400,13:29:26
+1.0,2013-01-29,2013-01-29 12:33:08,1,1,d660689e189565d5ca56f8b381491ac2.jpg,5.6,800,100,12:33:08
+1.0,2012-03-08,2012-03-08 14:55:50,0,3,74989a58ef5d7afe1005f4efe9ab8ae2.jpg,5.6,800,400,14:55:50
+1.0,2013-01-29,2013-01-29 16:31:32,1,1,f9ee8ffb35e7693508dd87b62f7b7bfe.jpg,5.6,800,320,16:31:32
+1.0,2013-01-29,2013-01-29 12:14:34,1,1,568b9339f7883bf36defce8ddcd7615d.jpg,5.6,800,100,12:14:34
+1.0,2013-01-28,2013-01-28 12:33:10,1,1,1e5202ed615cf789cae7ef9775abbef4.jpg,5.6,800,100,12:33:10
+1.0,2012-04-25,2012-04-25 10:59:21,0,3,78a95c39fec779e81388153837d79b0f.jpg,5.6,800,400,10:59:21
+1.0,2012-03-20,2012-03-20 11:07:05,0,3,6eeb49bf606089ef454b6ecd21b4ff15.jpg,5.6,800,400,11:07:05
+1.0,2013-02-20,2013-02-20 12:18:06,1,1,722d6cbe32f62bd642c071dc41122c30.jpg,5.6,800,100,12:18:06
+1.0,2012-03-22,2012-03-22 11:11:04,0,3,cd97a5095da44d25273a601799fa0fdf.jpg,5.6,800,400,11:11:04
+1.0,2013-01-29,2013-01-29 16:25:28,1,1,cb27d34aac23c221bae310eecf611036.jpg,5.6,800,250,16:25:28
+1.0,2013-02-20,2013-02-20 12:25:44,1,1,b9a286c98eee3eb5be31c0d24bffcdd1.jpg,5.6,800,100,12:25:44
+1.0,2013-01-28,2013-01-28 12:33:29,1,1,a07d0be07a309c396870a132694ae3c0.jpg,5.6,800,100,12:33:29
+1.0,2012-03-20,2012-03-20 09:41:43,0,3,4f8be80471b21229bcf0554718481c9d.jpg,5.6,800,400,09:41:43
+1.0,2012-04-03,2012-04-03 12:30:57,0,3,4b1b4155fdef4390a131b7068a484e2c.jpg,5.6,800,400,12:30:57
+1.0,2013-02-26,2013-02-26 12:07:18,1,1,5d7f4a61e301f041d37fc969b377aff4.jpg,5.6,800,200,12:07:18
+1.0,2012-03-20,2012-03-20 11:08:49,0,3,f36623a1e4cdbeb206d31bd6cde1ed40.jpg,5.6,800,400,11:08:49
+1.0,2013-02-13,2013-02-13 13:20:04,1,1,38198643ed92ef188c5f90afba628966.jpg,5.6,800,100,13:20:04
+1.0,2013-02-26,2013-02-26 12:12:36,1,1,b2ca930ddef80d0a2ea4ea941564ddd3.jpg,5.6,800,200,12:12:36
+1.0,2013-01-29,2013-01-29 12:10:52,1,1,3b775e206f496d8e8369fb4ca61a06e1.jpg,5.6,800,100,12:10:52
+1.0,2012-03-20,2012-03-20 12:31:21,0,3,7b637149a6471962c4e8b34998c07402.jpg,5.6,800,400,12:31:21
+1.0,2013-02-26,2013-02-26 12:06:15,1,1,a928c66919e604553b22e1ed36e2d280.jpg,5.6,800,200,12:06:15
+1.0,2012-03-08,2012-03-08 12:10:27,0,3,4d7779368bc6406a4a39c4ac60a8dd0c.jpg,5.6,800,400,12:10:27
+1.0,2013-02-20,2013-02-20 12:24:00,1,1,1ee5a0fed7bc26f3b8cb45999fb79d49.jpg,5.6,800,100,12:24:00
+1.0,2012-03-20,2012-03-20 15:22:27,0,3,a938c2882c24b5f434370b59d460fbe4.jpg,5.6,800,400,15:22:27
+1.0,2012-03-20,2012-03-20 09:41:28,0,3,5074504f28617aa27f9cabe3b6a78e53.jpg,5.6,800,400,09:41:28
+1.0,2013-01-28,2013-01-28 12:33:26,1,1,1e921850443d69b824710d8ad7ee91b7.jpg,5.6,800,100,12:33:26
+1.0,2013-01-28,2013-01-28 12:37:08,1,1,c06c9712055e4621e4c7d78596685515.jpg,5.6,800,100,12:37:08
+1.0,2013-02-13,2013-02-13 12:57:04,1,1,3b7fb51cdf92ad267a2f821d298efe6e.jpg,5.6,800,100,12:57:04
+1.0,2013-01-28,2013-01-28 12:42:30,1,1,a9260280b1f46e2b953099a0ff27839f.jpg,5.6,800,100,12:42:30
+1.0,2012-04-03,2012-04-03 11:05:58,0,3,7a21c2dec6afe30e82f7afdcf708ea5f.jpg,5.6,800,400,11:05:58
+1.0,2012-03-20,2012-03-20 15:24:19,0,3,c4f4b7f82cf0047f126e900ce38866e3.jpg,5.6,800,400,15:24:19
+1.0,2013-01-29,2013-01-29 12:34:44,1,1,ab176a92094324a7260fbde4232e6250.jpg,5.6,800,100,12:34:44
+1.0,2013-01-29,2013-01-29 16:31:20,1,1,65a807c021998359d319aa16434b8576.jpg,5.6,800,320,16:31:20
+1.0,2012-04-03,2012-04-03 12:31:20,0,3,1b86bc8927ee706ab3ba4cd70e39a90a.jpg,5.6,800,400,12:31:20
+1.0,2012-03-22,2012-03-22 11:07:04,0,3,4d166d4d579ad185ce942b51b91b9d07.jpg,5.6,800,400,11:07:04
+1.0,2013-02-20,2013-02-20 12:13:41,1,1,67590b29d8262cd50b0232597268a0ae.jpg,5.6,800,200,12:13:41
+1.0,2012-03-20,2012-03-20 13:59:22,0,3,b02d95019e910bdd5af5f2f685eaba00.jpg,5.6,800,400,13:59:22
+1.0,2012-03-20,2012-03-20 13:55:57,0,3,e780171c37443a6358ec885682174331.jpg,5.6,800,400,13:55:57
+1.0,2013-02-19,2013-02-19 16:21:13,1,1,4e276e8824643f7d48d92dc77dc3dfc4.jpg,5.6,800,320,16:21:13
+1.0,2012-03-20,2012-03-20 15:24:15,0,3,2029fbffb78a4aee11244e382a0bb406.jpg,5.6,800,400,15:24:15
+1.0,2012-04-03,2012-04-03 09:41:23,0,3,3ada842966d9ece8717aeaa27e48b1e8.jpg,5.6,800,400,09:41:23
+1.0,2012-03-08,2012-03-08 12:12:31,0,3,f67e38fb6a80beb239e6c5356e7e3734.jpg,5.6,800,400,12:12:31
+1.0,2013-01-28,2013-01-28 12:41:58,1,1,0b86447cdd0a499a93080d2fa310bea7.jpg,5.6,800,100,12:41:58
+1.0,2013-02-19,2013-02-19 16:26:20,1,1,f993ef86f5efa355db858f07c63da6ec.jpg,5.6,800,320,16:26:20
+1.0,2013-02-19,2013-02-19 16:26:59,1,1,7f3ed720af53b9b2115a3792d2b30ac9.jpg,5.6,800,320,16:26:59
+1.0,2012-03-20,2012-03-20 12:34:27,0,3,a1382ff7d703da903ce0e4b7197bbd9a.jpg,5.6,800,400,12:34:27
+1.0,2013-01-29,2013-01-29 16:32:39,1,1,97fd4c0bc64e50132943e888163418e1.jpg,5.6,800,250,16:32:39
+1.0,2013-02-26,2013-02-26 12:25:31,1,1,699d13f20355a36df2da91b150cc0760.jpg,5.6,800,200,12:25:31
+1.0,2013-01-28,2013-01-28 12:34:22,1,1,0d97143d184cfc82000faab2ecb22909.jpg,5.6,800,100,12:34:22
+1.0,2013-02-20,2013-02-20 12:02:19,1,1,a94858260f1ec9187a3c64ef18817f99.jpg,5.6,800,160,12:02:19
+1.0,2012-04-03,2012-04-03 09:37:41,0,3,b614856576b573d066b4ceaf8374194c.jpg,5.6,800,400,09:37:41
+1.0,2012-03-06,2012-03-06 13:29:14,0,3,a3d377dc8945677556685c73ceda97fd.jpg,5.6,800,400,13:29:14
+1.0,2013-01-28,2013-01-28 12:41:25,1,1,71ecaf47e7fb6411cf98a572675385cf.jpg,5.6,800,100,12:41:25
+1.0,2012-04-24,2012-04-24 11:07:50,0,3,898c37b067fe2e802d033cbba8f19f4f.jpg,5.6,800,400,11:07:50
+1.0,2012-03-20,2012-03-20 12:28:35,0,3,01f5f90bfbd831cde3bdce7b66bed6aa.jpg,5.6,800,400,12:28:35
+1.0,2012-03-20,2012-03-20 13:57:18,0,3,71021307dce1052df553a1dde15ed1d3.jpg,5.6,800,400,13:57:18
+1.0,2013-01-28,2013-01-28 12:37:16,1,1,1c81a6e6046d7acc6116720bc0d3e26a.jpg,5.6,800,100,12:37:16
+1.0,2013-01-29,2013-01-29 12:11:57,1,1,d82682437706c503daeb1f497fc0c9dd.jpg,5.6,800,100,12:11:57
+1.0,2012-03-20,2012-03-20 11:06:03,0,3,99ac980df5418e9a81c06277151ee7d4.jpg,5.6,800,400,11:06:03
+1.0,2013-02-26,2013-02-26 12:04:48,1,1,51fc2dd5dd388cc385dfeddc568c8166.jpg,5.6,800,160,12:04:48
+1.0,2013-02-19,2013-02-19 16:21:45,1,1,3e60bd5db673c4b3c741d0e83f244aba.jpg,5.6,800,320,16:21:45
+1.0,2013-01-29,2013-01-29 16:30:35,1,1,f712b8f1536dffc7b53dd59ce70a8bbc.jpg,5.6,800,800,16:30:35
+1.0,2012-03-20,2012-03-20 12:34:30,0,3,f3e8594a114862771e769318b76c5fbf.jpg,5.6,800,400,12:34:30
+1.0,2013-02-13,2013-02-13 12:17:16,1,1,20a8abab09aac1667ceb7fe522e480cc.jpg,5.6,800,100,12:17:16
+1.0,2012-04-03,2012-04-03 11:06:36,0,3,5154c7d227e0acabc94f7f7f3ad99df4.jpg,5.6,800,400,11:06:36
+1.0,2012-03-08,2012-03-08 15:01:06,0,3,ed499f005e6512a69432cce249294e20.jpg,5.6,800,400,15:01:06
+1.0,2013-02-26,2013-02-26 12:10:33,1,1,60260d1fd4646ad4302fa3419b7a8095.jpg,5.6,800,160,12:10:33
+1.0,2013-02-13,2013-02-13 13:00:35,1,1,612e572d1ab1b1ce352e32e4852f4602.jpg,5.6,800,100,13:00:35
+1.0,2013-02-26,2013-02-26 12:11:01,1,1,3af50fd084ae0d9c638545f4bda7ec1e.jpg,5.6,800,200,12:11:01
+1.0,2013-02-13,2013-02-13 12:09:23,1,1,c7d8a4ae5040d04c2eacc752c5814ba7.jpg,5.6,800,100,12:09:23
+1.0,2013-02-26,2013-02-26 12:09:37,1,1,8fc099d0ca1a4379dd43a40d3c1a9891.jpg,5.6,800,200,12:09:37
+1.0,2012-03-08,2012-03-08 12:12:47,0,3,4308fbc4fc952d3244e150f5032a44fc.jpg,5.6,800,400,12:12:47
+1.0,2013-01-28,2013-01-28 12:33:10,1,1,7ad4ede2a6cdd9c78f70c4030eb2d8fb.jpg,5.6,800,100,12:33:10
+1.0,2013-01-28,2013-01-28 12:38:24,1,1,272c143a0eb1550b968822d70d26336b.jpg,5.6,800,100,12:38:24
+1.0,2012-04-03,2012-04-03 09:36:11,0,3,9ece2cc640671810db7a9c0e3e76f623.jpg,5.6,800,400,09:36:11
+1.0,2012-03-20,2012-03-20 13:57:48,0,3,773af0fc32cb9c55c7f35be0ce02a12a.jpg,5.6,800,400,13:57:48
+1.0,2013-01-29,2013-01-29 12:20:04,1,1,623ce5a7718d975e3f04708ed4354a1c.jpg,5.6,800,100,12:20:04
+1.0,2012-03-20,2012-03-20 11:08:48,0,3,5c11e452c52e98cb5ae90178e4cb535c.jpg,5.6,800,400,11:08:48
+1.0,2012-03-22,2012-03-22 14:00:13,0,3,f07bf21c3888812ee1126437034b7947.jpg,5.6,800,400,14:00:13
+1.0,2012-03-20,2012-03-20 12:32:48,0,3,1685e2fc114ffb2dc60c6c3668b09d9c.jpg,5.6,800,400,12:32:48
+1.0,2012-03-06,2012-03-06 13:32:02,0,3,d9d4543a66f7fe6037e9082d6394cd4c.jpg,5.6,800,400,13:32:02
+1.0,2013-01-28,2013-01-28 12:33:06,1,1,8af693b8024381528570343f4e104ef3.jpg,5.6,800,100,12:33:06
+1.0,2013-02-19,2013-02-19 16:21:49,1,1,6ff7ccf1b1da3423f1976daa24924047.jpg,5.6,800,320,16:21:49
+1.0,2012-03-20,2012-03-20 15:23:23,0,3,4bca5308a2099b70a7ce647cbd8f8ede.jpg,5.6,800,400,15:23:23
+1.0,2013-01-28,2013-01-28 12:42:39,1,1,d293441dba0b9c8f898db6548545de4e.jpg,5.6,800,100,12:42:39
+1.0,2013-02-13,2013-02-13 12:34:21,1,1,d706a27658fa7fc329522d1974decdfc.jpg,5.6,800,100,12:34:21
+1.0,2013-02-26,2013-02-26 12:26:47,1,1,fc5c6f608d2d857822082b2af11d0dac.jpg,5.6,800,200,12:26:47
+1.0,2012-03-20,2012-03-20 12:30:13,0,3,13d2e04cec705686f9982d027edf3ab2.jpg,5.6,800,400,12:30:13
+1.0,2013-02-13,2013-02-13 12:03:37,1,1,7ee07ca4d840ea526b6589334c0f4682.jpg,5.6,800,100,12:03:37
+1.0,2013-02-20,2013-02-20 12:45:07,1,1,397e1873e82efd4a693ef5ed52b4b2be.jpg,5.6,800,100,12:45:07
+1.0,2013-02-13,2013-02-13 12:17:11,1,1,00d02163c3541ba2c1e23c3c88a3e37b.jpg,5.6,800,100,12:17:11
+1.0,2012-04-17,2012-04-17 12:28:30,0,3,2a359b29f7cd3511f87c4ad7fcb20d39.jpg,5.6,800,400,12:28:30
+1.0,2012-04-25,2012-04-25 11:01:54,0,3,4bde73892422600925d8f8de79fb87d8.jpg,5.6,800,400,11:01:54
+1.0,2013-02-26,2013-02-26 12:25:59,1,1,594431e8b74ebc995b2a6dc2b9694ad5.jpg,5.6,800,200,12:25:59
+1.0,2013-02-20,2013-02-20 12:11:18,1,1,33be9286f022a8ba3b04f3cc116e8c02.jpg,5.6,800,160,12:11:18
+1.0,2012-04-03,2012-04-03 11:08:12,0,3,7a3c83144a6785cc3477cf966e18db54.jpg,5.6,800,400,11:08:12
+1.0,2013-01-28,2013-01-28 12:42:19,1,1,9764f5ffd920b119b614bc016b788cfb.jpg,5.6,800,100,12:42:19
+1.0,2013-02-20,2013-02-20 12:06:26,1,1,561e6cf4e067664ab486679e3da7a6c4.jpg,5.6,800,200,12:06:26
+1.0,2012-04-24,2012-04-24 09:48:11,0,3,2fbaad14ae7a572659fd3a908127bf3b.jpg,5.6,800,400,09:48:11
+1.0,2013-02-20,2013-02-20 12:02:18,1,1,995db5b07df605b5f89402da77232444.jpg,5.6,800,160,12:02:18
+1.0,2012-03-08,2012-03-08 14:57:16,0,3,5c8c3590d0148253d886ec7ee71666bb.jpg,5.6,800,400,14:57:16
+1.0,2012-03-20,2012-03-20 09:43:46,0,3,aeb9c6b4886fa052cbae860a22d0e3af.jpg,5.6,800,400,09:43:46
+1.0,2012-03-20,2012-03-20 11:09:30,0,3,0bddf977eae0c844ec4432e5a9ace80a.jpg,5.6,800,400,11:09:30
+1.0,2012-03-13,2012-03-13 11:11:30,0,3,55bcfe3720caf826fc3dbdc1ac2c014d.jpg,5.6,800,400,11:11:30
+1.0,2012-03-08,2012-03-08 12:13:12,0,3,bc2577a6988116aff80e29ddbc64236e.jpg,5.6,800,400,12:13:12
+1.0,2012-03-20,2012-03-20 12:35:09,0,3,fde74ca26b4640e67e9b721bca741561.jpg,5.6,800,400,12:35:09
+1.0,2013-02-26,2013-02-26 12:04:54,1,1,a03748f721aff026bb6123bec31aef6c.jpg,5.6,800,160,12:04:54
+1.0,2013-01-29,2013-01-29 16:24:39,1,1,9d8bf539408dac8781ed8c73a540dab5.jpg,5.6,800,400,16:24:39
+1.0,2013-02-19,2013-02-19 16:30:56,1,1,b269c7a902c4d50d32ef0ea4f2b4d221.jpg,5.6,800,320,16:30:56
+1.0,2012-03-20,2012-03-20 11:07:48,0,3,6784ec0481c141aacc8c2e99d6249af2.jpg,5.6,800,400,11:07:48
+1.0,2013-02-19,2013-02-19 16:27:24,1,1,d8c33a72a873f6560eba208c0ff803c3.jpg,5.6,800,320,16:27:24
+1.0,2012-03-08,2012-03-08 12:11:15,0,3,52b8a4958da6d2558cbf59083a2944be.jpg,5.6,800,400,12:11:15
+1.0,2013-01-29,2013-01-29 12:10:42,1,1,808e5a28ddf97664c9902c70ee527b5f.jpg,5.6,800,100,12:10:42
+1.0,2013-02-20,2013-02-20 12:24:06,1,1,38d48617a5c50f22970b2eed7ab679f6.jpg,5.6,800,100,12:24:06
+1.0,2012-03-20,2012-03-20 12:30:37,0,3,5e883437082c7f26ac40e8c4fea5dd14.jpg,5.6,800,400,12:30:37
+1.0,2012-03-20,2012-03-20 12:31:35,0,3,d8054b2f16b5a57503f912479da18279.jpg,5.6,800,400,12:31:35
+1.0,2012-02-23,2012-02-23 14:56:54,0,3,dced4b8fee3a3a68d834ec09e5b93815.jpg,5.6,800,400,14:56:54
+1.0,2012-03-08,2012-03-08 14:57:22,0,3,a11b2f77fa07b8e906a771ae1a05e935.jpg,5.6,800,400,14:57:22
+1.0,2013-02-19,2013-02-19 16:30:48,1,1,c8fc8a28b7f60ce400064912ede95689.jpg,5.6,800,320,16:30:48
+1.0,2013-01-28,2013-01-28 12:33:22,1,1,d3a7e8970566ca57b0c3ccf9d9b244d1.jpg,5.6,800,100,12:33:22
+1.0,2013-02-20,2013-02-20 12:13:40,1,1,4cac8a88b689d49f10743a66098393cc.jpg,5.6,800,200,12:13:40
+1.0,2013-01-29,2013-01-29 16:30:19,1,1,6f2ac9e3c4cacc5d38a2d60b7fb65487.jpg,5.6,800,250,16:30:19
+1.0,2013-01-28,2013-01-28 12:36:03,1,1,76703f66e101fd4a3dc1528b5eeb12ad.jpg,5.6,800,100,12:36:03
+1.0,2012-03-20,2012-03-20 13:56:37,0,3,8718f3978a0db8a3234cf8353cc4f1ef.jpg,5.6,800,400,13:56:37
+1.0,2012-03-20,2012-03-20 09:42:06,0,3,36a8a1fc4b2637e70ed778070d4e86a3.jpg,5.6,800,400,09:42:06
+1.0,2012-03-08,2012-03-08 10:47:46,0,3,9fa8c808337f25dd9250eabae6676922.jpg,5.6,800,400,10:47:46
+1.0,2013-02-26,2013-02-26 12:33:04,1,1,e898d1a8e124d804254b819ce67b2ed0.jpg,5.6,800,200,12:33:04
+1.0,2013-02-20,2013-02-20 12:04:55,1,1,c9c1f8a1fbe3070708421c560389bba9.jpg,5.6,800,200,12:04:55
+1.0,2013-02-26,2013-02-26 12:33:08,1,1,039b32569cd1864fccd57ed5212158ed.jpg,5.6,800,200,12:33:08
+1.0,2012-04-26,2012-04-26 11:07:24,0,3,4dde3e680508ef4a5866e41887706654.jpg,5.6,800,400,11:07:24
+1.0,2013-02-26,2013-02-26 12:43:34,1,1,6dbc06242b7743121ab0f873f86df77a.jpg,5.6,800,200,12:43:34
+1.0,2013-02-19,2013-02-19 16:22:35,1,1,9c26fc33be41d4d926fead37742a5c0d.jpg,5.6,800,400,16:22:35
+1.0,2013-01-29,2013-01-29 12:33:32,1,1,1214291cbd12a2ff3282ce4acec57415.jpg,5.6,800,100,12:33:32
+1.0,2012-02-23,2012-02-23 14:58:36,0,3,5b455795897297cc4b74ee7fc43b6839.jpg,5.6,800,400,14:58:36
+1.0,2012-03-22,2012-03-22 11:04:49,0,3,17a59b4f7e56d6becaed69c3a30c3da1.jpg,5.6,800,400,11:04:49
+1.0,2013-02-26,2013-02-26 12:26:04,1,1,f4c68c1703bda39bf3cc6230befe0a06.jpg,5.6,800,200,12:26:04
+1.0,2012-03-20,2012-03-20 12:36:22,0,3,aedd73bddfaa3cda796b515ed84e1f4f.jpg,5.6,800,400,12:36:22
+1.0,2012-03-20,2012-03-20 15:24:56,0,3,7f058c53d59c9c1cb4862adfab624a55.jpg,5.6,800,400,15:24:56
+1.0,2013-01-29,2013-01-29 12:27:40,1,1,09493f9e4173520ce097d52c843c5364.jpg,5.6,800,100,12:27:40
+1.0,2013-01-29,2013-01-29 16:29:27,1,1,6c0a530c45882b18e03fcbc7f2fded73.jpg,5.6,800,320,16:29:27
+1.0,2013-02-13,2013-02-13 12:20:53,1,1,d957dabc5b98a8c312996b26b204414b.jpg,5.6,800,100,12:20:53
+1.0,2012-04-03,2012-04-03 11:12:11,0,3,d32347285c9b401e7ab9c2c756d0a63c.jpg,5.6,800,400,11:12:11
+1.0,2013-01-28,2013-01-28 12:38:51,1,1,e673cd2483e8acd4e94fa2072d808577.jpg,5.6,800,100,12:38:51
+1.0,2012-04-03,2012-04-03 09:38:08,0,3,3459fd7d6aa79ebd71ef3b86446fa4b6.jpg,5.6,800,400,09:38:08
+1.0,2013-02-20,2013-02-20 12:21:41,1,1,abd20ea7fba87e668eb7f5da9b8414a6.jpg,5.6,800,100,12:21:41
+1.0,2013-02-20,2013-02-20 12:15:04,1,1,0a6b3b9f64f755c3c3f70566e7fc1ce1.jpg,5.6,800,125,12:15:04
+1.0,2012-04-03,2012-04-03 09:38:43,0,3,c6c72341c728b36e7fe035f46f7d3896.jpg,5.6,800,400,09:38:43
+1.0,2013-01-28,2013-01-28 12:38:53,1,1,96dfb44c88b963793a592642f74d1dac.jpg,5.6,800,100,12:38:53
+1.0,2012-04-03,2012-04-03 11:04:30,0,3,92cedbbed39ebda2cd5cf9e95a6ed71c.jpg,5.6,800,400,11:04:30
+1.0,2013-02-13,2013-02-13 12:14:20,1,1,53e69f560740a07db12a3f81ecbdfe0d.jpg,5.6,800,100,12:14:20
+1.0,2012-03-08,2012-03-08 15:01:03,0,3,2160d67fd49989a0dcfb8a39f4b9d45d.jpg,5.6,800,400,15:01:03
+1.0,2013-01-28,2013-01-28 12:33:32,1,1,5ed591468608cd571123d791c53c9a64.jpg,5.6,800,100,12:33:32
+1.0,2013-02-13,2013-02-13 13:21:14,1,1,714a3147ccb669f284dd09d88b56660b.jpg,5.6,800,100,13:21:14
+1.0,2012-03-20,2012-03-20 11:05:41,0,3,02b7d7944af85b853e3eafa990d94f86.jpg,5.6,800,400,11:05:41
+1.0,2012-03-08,2012-03-08 10:46:38,0,3,97ffeb2d2af13d15f3bf0b35c9436a9b.jpg,5.6,800,400,10:46:38
+1.0,2012-03-22,2012-03-22 11:06:43,0,3,6bba7ff384f50a9d9cfbb927d39924fd.jpg,5.6,800,400,11:06:43
+1.0,2012-03-08,2012-03-08 12:12:35,0,3,d0211204f367b88e6d2f7a9abdfab5ce.jpg,5.6,800,400,12:12:35
+1.0,2012-03-20,2012-03-20 09:41:29,0,3,604cb060f568fb42ca7c7fd09b1235f2.jpg,5.6,800,400,09:41:29
+1.0,2012-03-20,2012-03-20 15:23:10,0,3,ba94f258fa72df0840e2fb8e1512599d.jpg,5.6,800,400,15:23:10
+1.0,2013-02-19,2013-02-19 16:18:33,1,1,f827c8c2feaeeeb958aeccdec5ef4946.jpg,5.6,800,320,16:18:33
+1.0,2013-01-29,2013-01-29 12:30:50,1,1,abd0fbb339732ebe89c535cdd73f555c.jpg,5.6,800,100,12:30:50
+1.0,2012-03-20,2012-03-20 15:24:55,0,3,13123286add14991cc17db729acaff56.jpg,5.6,800,400,15:24:55
+1.0,2013-01-28,2013-01-28 12:34:39,1,1,cdd1bb383e18d0c3b942d4e4c2091ba5.jpg,5.6,800,100,12:34:39
+1.0,2012-03-22,2012-03-22 11:06:58,0,3,0d580dcb7744ec3a88c0dd5afd1c077c.jpg,5.6,800,400,11:06:58
+1.0,2013-02-20,2013-02-20 12:02:42,1,1,be0fcc7bb4d4ef6141727c2894a5936d.jpg,5.6,800,160,12:02:42
+1.0,2012-04-03,2012-04-03 09:45:05,0,3,ff0edaca4b4491c5552d1c8ef9905bc0.jpg,5.6,800,400,09:45:05
+1.0,2012-03-13,2012-03-13 11:11:22,0,3,78640431d7b916bb132704b465182f83.jpg,5.6,800,400,11:11:22
+1.0,2013-02-20,2013-02-20 12:17:51,1,1,fac2053aa56aa48329dd77fe33333a38.jpg,5.6,800,100,12:17:51
+1.0,2012-04-03,2012-04-03 11:05:45,0,3,014bf8ede65b5b52ac83f00b7cd6e2f9.jpg,5.6,800,400,11:05:45
+1.0,2012-03-22,2012-03-22 11:04:52,0,3,d9747c8f0b288e38582d7e09a56d6969.jpg,5.6,800,400,11:04:52
+1.0,2013-02-20,2013-02-20 12:43:17,1,1,94a751cdb193f23912d76fb112018009.jpg,5.6,800,100,12:43:17
+1.0,2013-01-28,2013-01-28 12:40:03,1,1,77fa7b424b2596a375658adb94ebfe42.jpg,5.6,800,100,12:40:03
+1.0,2012-02-23,2012-02-23 14:56:49,0,3,27713e77f84949b04995137f4f436892.jpg,5.6,800,400,14:56:49
+1.0,2012-03-20,2012-03-20 09:44:51,0,3,0463a064b8bd3b6018d564824b8407f1.jpg,5.6,800,400,09:44:51
+1.0,2013-02-20,2013-02-20 12:25:50,1,1,05270d6b6f8665cdfa320dd061b25d23.jpg,5.6,800,100,12:25:50
+1.0,2013-02-26,2013-02-26 12:21:29,1,1,09821af6999f75fdafccb9e775d757bd.jpg,5.6,800,200,12:21:29
+1.0,2012-03-22,2012-03-22 13:58:00,0,3,f31533ba1192d4cf972912e9a5890490.jpg,5.6,800,400,13:58:00
+1.0,2012-03-22,2012-03-22 11:06:29,0,3,b0bb15a2a22eac9cd8e391e3642cefeb.jpg,5.6,800,400,11:06:29
+1.0,2013-01-29,2013-01-29 12:17:00,1,1,74a50ec739a656b2e98bf4ee7579072f.jpg,5.6,800,100,12:17:00
+1.0,2013-02-26,2013-02-26 12:29:00,1,1,ddbf7bbcf1275b8ab5d26e7108b201f5.jpg,5.6,800,200,12:29:00
+1.0,2012-03-20,2012-03-20 13:57:51,0,3,2f2c6ec40a27c51078906c13260905c1.jpg,5.6,800,400,13:57:51
+1.0,2013-01-29,2013-01-29 12:07:35,1,1,2b9c45e90522b2cb8d2646bc04adbf2b.jpg,5.6,800,100,12:07:35
+1.0,2013-01-28,2013-01-28 12:41:23,1,1,bbcc76da4aa0c0d823ed65b3268829ac.jpg,5.6,800,100,12:41:23
+1.0,2012-04-24,2012-04-24 09:42:44,0,3,23fb1bbafedfdc1e744e95d1ebe02be1.jpg,5.6,800,400,09:42:44
+1.0,2013-01-28,2013-01-28 12:34:13,1,1,51b9ac1041e68b69695240025fb76ea7.jpg,5.6,800,100,12:34:13
+1.0,2013-01-29,2013-01-29 12:15:39,1,1,d32ef172f63053844ccb00cadfb1efc9.jpg,5.6,800,100,12:15:39
+1.0,2013-01-29,2013-01-29 16:35:17,1,1,1d3b6263ee90e72ccc0462a1bda9f033.jpg,5.6,800,320,16:35:17
+1.0,2013-01-28,2013-01-28 12:33:27,1,1,3dafd64c3ea17467295158795983bdc8.jpg,5.6,800,100,12:33:27
+1.0,2012-04-03,2012-04-03 11:13:09,0,3,aebec6604a601b7f4d9ac045ecabee6d.jpg,5.6,800,400,11:13:09
+1.0,2012-03-08,2012-03-08 10:46:39,0,3,e30d9c01f436b456678713c529fc7493.jpg,5.6,800,400,10:46:39
+1.0,2012-03-20,2012-03-20 13:56:54,0,3,50654793e50f0b0fe96a458a90ab14d3.jpg,5.6,800,400,13:56:54
+1.0,2013-02-13,2013-02-13 12:11:34,1,1,eb12936eac8e3839c9330828422d4734.jpg,5.6,800,100,12:11:34
+1.0,2012-04-03,2012-04-03 09:39:48,0,3,4a765f06b1195a8cd21757982af67c16.jpg,5.6,800,400,09:39:48
+1.0,2013-02-20,2013-02-20 12:06:03,1,1,ee39a0f46801259d8b6434d8c09e843d.jpg,5.6,800,200,12:06:03
+1.0,2012-03-20,2012-03-20 15:25:09,0,3,13978268ca31e39233190480cdf031c7.jpg,5.6,800,400,15:25:09
+1.0,2013-02-19,2013-02-19 16:35:19,1,1,6144990b7e1b72d0a4d9efd803dbb24c.jpg,5.6,800,400,16:35:19
+1.0,2013-02-19,2013-02-19 16:28:39,1,1,2973c238006c94a0dd4090399dbb3ef5.jpg,5.6,800,320,16:28:39
+1.0,2012-04-03,2012-04-03 09:44:02,0,3,3134894040367d30fdfd5e45465f5ebf.jpg,5.6,800,400,09:44:02
+1.0,2013-02-19,2013-02-19 16:28:22,1,1,ea97c4263a474496e7d1c154ab689cfe.jpg,5.6,800,400,16:28:22
+1.0,2012-03-08,2012-03-08 12:12:43,0,3,fc0249f66d371ec72a55d67281cbbff7.jpg,5.6,800,400,12:12:43
+1.0,2012-04-03,2012-04-03 12:36:19,0,3,f206cff6483d8ed9e5aa8bd99c6849a8.jpg,5.6,800,400,12:36:19
+1.0,2012-03-20,2012-03-20 09:41:34,0,3,a67c07d4f18686222548999059146a06.jpg,5.6,800,400,09:41:34
+1.0,2012-04-03,2012-04-03 09:44:52,0,3,15bcd484313b93d4872fa4090d31a9b6.jpg,5.6,800,400,09:44:52
+1.0,2013-02-19,2013-02-19 16:18:08,1,1,9dfa2b8374bdae2893ee66c58f97be6c.jpg,5.6,800,320,16:18:08
+1.0,2013-02-20,2013-02-20 12:17:49,1,1,bec2e16b489979f1d0e2b3b326b2ac4d.jpg,5.6,800,100,12:17:49
+1.0,2013-02-26,2013-02-26 12:14:33,1,1,cae40e91bbbfdc09c52523e920da5684.jpg,5.6,800,200,12:14:33
+1.0,2012-04-03,2012-04-03 11:12:54,0,3,d04f6a64956d7346da75a9fde68c2e93.jpg,5.6,800,400,11:12:54
+1.0,2012-03-08,2012-03-08 12:13:21,0,3,20a875b94bce35107fe7842512d87260.jpg,5.6,800,400,12:13:21
+1.0,2013-02-26,2013-02-26 12:14:44,1,1,bc2b115209151cc92ebfd029190f9d0e.jpg,5.6,800,200,12:14:44
+1.0,2013-01-29,2013-01-29 16:33:56,1,1,33f5e4ece17198bcb5ed8000cc7c7ce5.jpg,5.6,800,400,16:33:56
+1.0,2013-02-20,2013-02-20 12:13:55,1,1,9dbad45750b12acd9fe3361ac1806bb4.jpg,5.6,800,160,12:13:55
+1.0,2012-04-03,2012-04-03 09:42:25,0,3,90ee847acc6e56d64f87c5c06d9f9fd1.jpg,5.6,800,400,09:42:25
+1.0,2013-01-29,2013-01-29 12:11:00,1,1,ef73606e93ecbc7500136b8a59a1aeb3.jpg,5.6,800,100,12:11:00
+1.0,2013-01-29,2013-01-29 12:20:43,1,1,f2572f61ff479208436074b88537d9dc.jpg,5.6,800,100,12:20:43
+1.0,2012-04-03,2012-04-03 09:35:03,0,3,5fe93d4aba03f7b66d4d64b43c26fe91.jpg,5.6,800,400,09:35:03
+1.0,2013-02-19,2013-02-19 16:24:49,1,1,fc94c989d253f0cdab84474dd25bd62a.jpg,5.6,800,500,16:24:49
+1.0,2012-04-03,2012-04-03 12:37:00,0,3,a6c170beb0c673e396fc303d8b4c94e9.jpg,5.6,800,400,12:37:00
+1.0,2012-03-22,2012-03-22 13:58:27,0,3,1a12c5d857780ff3034000c40b40de72.jpg,5.6,800,400,13:58:27
+1.0,2013-01-28,2013-01-28 12:41:52,1,1,30ffb090326655e080607d8717b81628.jpg,5.6,800,100,12:41:52
+1.0,2012-03-20,2012-03-20 15:24:26,0,3,60e720525f1b25a1f9135de7dd7cc476.jpg,5.6,800,400,15:24:26
+1.0,2013-01-29,2013-01-29 16:21:10,1,1,45de98be17d4033ac93fbf0a3cd20ae1.jpg,5.6,800,200,16:21:10
+1.0,2012-03-08,2012-03-08 10:45:56,0,3,466b7a9481e465252fcd0daeacb2a506.jpg,5.6,800,400,10:45:56
+1.0,2013-02-20,2013-02-20 12:02:40,1,1,6bb5b635b59ee09ddab57a495e471896.jpg,5.6,800,200,12:02:40
+1.0,2012-04-03,2012-04-03 09:42:52,0,3,6e3307a520edc67150ee6d44cf38b21f.jpg,5.6,800,400,09:42:52
+1.0,2013-02-20,2013-02-20 12:19:47,1,1,d0a3ef5d9f8b930f8d79e0f7e3cb80c6.jpg,5.6,800,100,12:19:47
+1.0,2012-03-20,2012-03-20 15:25:07,0,3,6a683ae9e44c601c8094e9a0a51cd259.jpg,5.6,800,400,15:25:07
+1.0,2012-03-22,2012-03-22 11:04:04,0,3,d84bddcaa2ba6ddb187315b0d0090c52.jpg,5.6,800,400,11:04:04
+1.0,2012-03-20,2012-03-20 12:30:25,0,3,3d8a63c6ee1095e2a37ae0f48a8aa38c.jpg,5.6,800,400,12:30:25
+1.0,2013-02-13,2013-02-13 12:02:22,1,1,250166d7932daa38624acbf933bb2634.jpg,5.6,800,100,12:02:22
+1.0,2012-03-20,2012-03-20 09:47:32,0,3,6e46df2384486a2e3d2f64baefd19974.jpg,5.6,800,400,09:47:32
+1.0,2012-04-03,2012-04-03 12:37:26,0,3,50a16d918bc13686d7f0ba106ec69ca6.jpg,5.6,800,400,12:37:26
+1.0,2012-03-20,2012-03-20 13:55:51,0,3,eb6d5b0bcbd14499a40442e3ee93370b.jpg,5.6,800,400,13:55:51
+1.0,2013-01-29,2013-01-29 16:34:07,1,1,1c591370b368834615e8c813f3bd6dd9.jpg,5.6,800,320,16:34:07
+1.0,2012-04-03,2012-04-03 11:08:31,0,3,2a854c3c284d5e2c65b86d6430450a36.jpg,5.6,800,400,11:08:31
+1.0,2013-02-20,2013-02-20 12:29:24,1,1,dfeb402cae5127dd73011bfbf564f03f.jpg,5.6,800,100,12:29:24
+1.0,2012-03-20,2012-03-20 12:33:06,0,3,f10904d2317e8385101e4802b431d22b.jpg,5.6,800,400,12:33:06
+1.0,2013-02-26,2013-02-26 12:13:08,1,1,37c6388660319fa5badc5590a82bc816.jpg,5.6,800,160,12:13:08
+1.0,2013-01-29,2013-01-29 16:21:24,1,1,841c98a6dfa88959e71f10a9b0c245bc.jpg,5.6,800,200,16:21:24
+1.0,2012-04-03,2012-04-03 11:08:06,0,3,944a943e142ec43538ce3b1fa9c65004.jpg,5.6,800,400,11:08:06
+1.0,2012-03-20,2012-03-20 11:04:12,0,3,36e1ed48ca757a5aab303953d7ca0911.jpg,5.6,800,400,11:04:12
+1.0,2013-02-19,2013-02-19 16:17:41,1,1,c07041fbf985f9ca6e972df47e28bc9a.jpg,5.6,800,320,16:17:41
+1.0,2013-02-13,2013-02-13 13:25:45,1,1,8ec77d78f533a1413d8c49902802ea13.jpg,5.6,800,100,13:25:45
+1.0,2012-04-03,2012-04-03 11:12:55,0,3,c4a1525dfbdb06f5573eef62c2145587.jpg,5.6,800,400,11:12:55
+1.0,2013-01-29,2013-01-29 16:23:46,1,1,85baf03a1634dca344e1499fce5cb927.jpg,5.6,800,500,16:23:46
+1.0,2012-03-20,2012-03-20 12:36:01,0,3,2b4946ec15c71995dba955ed7d1f5203.jpg,5.6,800,400,12:36:01
+1.0,2012-03-20,2012-03-20 15:25:00,0,3,25a2fad41b8c2633a6a513a433288c03.jpg,5.6,800,400,15:25:00
+1.0,2012-03-22,2012-03-22 14:00:14,0,3,638b2e3a0d9e752e208bd41f3841f988.jpg,5.6,800,400,14:00:14
+1.0,2012-04-03,2012-04-03 09:44:36,0,3,d1e323a557e98e11043d3b5ee5d1242f.jpg,5.6,800,400,09:44:36
+1.0,2013-02-26,2013-02-26 12:09:12,1,1,6f8a616dbfbaead08baeedef9a2a77c4.jpg,5.6,800,200,12:09:12
+1.0,2013-01-29,2013-01-29 16:26:50,1,1,f64ab38b02fba81a5b2b00bcfa689f43.jpg,5.6,800,250,16:26:50
+1.0,2012-04-03,2012-04-03 11:09:12,0,3,15681dbdc4ed29f8f5fe7f38842a9f6a.jpg,5.6,800,400,11:09:12
+1.0,2012-03-20,2012-03-20 13:56:41,0,3,b620e35cf9ba9fbe57a8ddd5adfaa4c5.jpg,5.6,800,400,13:56:41
+1.0,2013-02-19,2013-02-19 16:27:01,1,1,38828edd4259ed83b0a4313c36f5b865.jpg,5.6,800,320,16:27:01
+1.0,2013-01-29,2013-01-29 12:17:05,1,1,d770a78814233678cb585fb36d0a07cf.jpg,5.6,800,100,12:17:05
+1.0,2012-03-06,2012-03-06 13:32:38,0,3,f944d85abd06b03435efa6863fecaa78.jpg,5.6,800,400,13:32:38
+1.0,2013-01-29,2013-01-29 16:26:57,1,1,99582af4c4c9b38849651f6fcbe167e9.jpg,5.6,800,250,16:26:57
+1.0,2012-02-23,2012-02-23 14:54:38,0,3,1137ee0cbf1d873ff3e8f2c6a26d295e.jpg,5.6,800,400,14:54:38
+1.0,2013-02-19,2013-02-19 16:23:21,1,1,ffd06a620ba8abae4eaba9bd9e8fa411.jpg,5.6,800,320,16:23:21
+1.0,2012-03-20,2012-03-20 15:24:11,0,3,0eac9861a31f68a8ef3eb87e89f6f08d.jpg,5.6,800,400,15:24:11
+1.0,2012-03-20,2012-03-20 13:55:59,0,3,a3377e0fe5c837306f1f773af5cf8f82.jpg,5.6,800,400,13:55:59
+1.0,2012-04-03,2012-04-03 11:09:45,0,3,274b7d67a4538ec271cf2c4a3541fd98.jpg,5.6,800,400,11:09:45
+1.0,2013-01-28,2013-01-28 12:34:37,1,1,db4fa32c5f576789cf6ea679d64caba1.jpg,5.6,800,100,12:34:37
+1.0,2012-04-03,2012-04-03 12:34:17,0,3,1c0e9b3b35220ef764238de03630674a.jpg,5.6,800,400,12:34:17
+1.0,2013-02-19,2013-02-19 16:14:27,1,1,98a8e6679bcdea78aa7bb4e5398502c6.jpg,5.6,800,320,16:14:27
+1.0,2012-03-20,2012-03-20 13:58:30,0,3,ad49446a595ae7a4ebf516edb4396e56.jpg,5.6,800,400,13:58:30
+1.0,2012-04-03,2012-04-03 09:37:48,0,3,b90f6457b30e738ea6fcaa10272ad413.jpg,5.6,800,400,09:37:48
+1.0,2012-03-22,2012-03-22 11:09:55,0,3,67ffe5264f36a429ed9cad4a88dac373.jpg,5.6,800,400,11:09:55
+1.0,2013-01-28,2013-01-28 12:38:51,1,1,58154d90fae00b7a0250ebb27e35f348.jpg,5.6,800,100,12:38:51
+1.0,2013-02-26,2013-02-26 12:25:37,1,1,991f59c8d91d8ce8b64db30b00646044.jpg,5.6,800,200,12:25:37
+1.0,2013-02-13,2013-02-13 13:27:31,1,1,9a3024347426011677e735445f9dfd89.jpg,5.6,800,100,13:27:31
+1.0,2013-02-13,2013-02-13 13:20:48,1,1,dfd8aea33daca76b2d848039b1a6327d.jpg,5.6,800,100,13:20:48
+1.0,2013-01-29,2013-01-29 12:32:37,1,1,fd453680edab1f82dba8630afa45c9bd.jpg,5.6,800,100,12:32:37
+1.0,2012-03-20,2012-03-20 11:07:20,0,3,329942f5ef15987545c79fde409523c3.jpg,5.6,800,400,11:07:20
+1.0,2012-03-20,2012-03-20 11:08:50,0,3,dc606b71ef89ec95f3c9dc4ec55fb39d.jpg,5.6,800,400,11:08:50
+1.0,2013-01-28,2013-01-28 12:41:37,1,1,b82e89b61473b773c26aaf120ce31578.jpg,5.6,800,100,12:41:37
+1.0,2012-04-03,2012-04-03 12:30:07,0,3,acc1cb973a24a6a3e92e3c775c56681a.jpg,5.6,800,400,12:30:07
+1.0,2012-03-22,2012-03-22 11:07:48,0,3,08be98ef86994f98c93d0adde2924278.jpg,5.6,800,400,11:07:48
+1.0,2012-03-20,2012-03-20 13:55:52,0,3,ef295bc7ad4bea6757433ed3eee345b3.jpg,5.6,800,400,13:55:52
+1.0,2012-04-03,2012-04-03 11:04:49,0,3,87774faee458cd461c9b3e787da1902f.jpg,5.6,800,400,11:04:49
+1.0,2012-03-20,2012-03-20 15:24:26,0,3,80fc13e58f958e668eb844bd752483d5.jpg,5.6,800,400,15:24:26
+1.0,2013-02-20,2013-02-20 12:26:23,1,1,91a062936877fbe26bee7b683d5c2e5f.jpg,5.6,800,100,12:26:23
+1.0,2012-03-20,2012-03-20 12:29:53,0,3,104c9d4e317e0ffc44c2fa1ec193eda6.jpg,5.6,800,400,12:29:53
+1.0,2013-02-20,2013-02-20 12:22:14,1,1,a28a31d1d4f050a25e2d85a89531a736.jpg,5.6,800,100,12:22:14
+1.0,2013-02-19,2013-02-19 16:34:24,1,1,c93560bcaa169afc1ccd0b9a702d9793.jpg,5.6,800,320,16:34:24
+1.0,2013-02-13,2013-02-13 13:12:02,1,1,f28d89a66de96bb54585b7c17ff69b36.jpg,5.6,800,100,13:12:02
+1.0,2012-03-13,2012-03-13 11:09:32,0,3,6082162419c6ebf35aa791347053dd50.jpg,5.6,800,400,11:09:32
+1.0,2012-03-20,2012-03-20 15:23:35,0,3,e6d4404fc05f43f2bea3d0889828230a.jpg,5.6,800,400,15:23:35
+1.0,2013-02-13,2013-02-13 12:04:44,1,1,716b64475ac1bec5fb812c10a0823162.jpg,5.6,800,100,12:04:44
+1.0,2012-02-23,2012-02-23 14:56:48,0,3,469d7b3bf99579a1b3259120ff79588d.jpg,5.6,800,400,14:56:48
+1.0,2012-03-22,2012-03-22 11:09:49,0,3,277cd5b22004b07cb0b155949587ca8e.jpg,5.6,800,400,11:09:49
+1.0,2013-01-28,2013-01-28 12:35:33,1,1,52b44abfba5aec1509b6961ed9635c9d.jpg,5.6,800,100,12:35:33
+1.0,2013-02-20,2013-02-20 12:45:35,1,1,b4150f910238aef687eccd5fe4653682.jpg,5.6,800,100,12:45:35
+1.0,2012-04-03,2012-04-03 11:07:05,0,3,c29c7ea31286e213cf495106a90225aa.jpg,5.6,800,400,11:07:05
+1.0,2012-03-13,2012-03-13 11:13:21,0,3,ee382317d9088d65fbd037eb7eb35225.jpg,5.6,800,400,11:13:21
+1.0,2012-03-13,2012-03-13 11:09:05,0,3,e80a9c28bf9ba8eac997d8fd4548977c.jpg,5.6,800,400,11:09:05
+1.0,2013-01-28,2013-01-28 12:42:36,1,1,6943de0092caaa086eb90e4559362b9c.jpg,5.6,800,100,12:42:36
+1.0,2012-04-17,2012-04-17 12:29:17,0,3,eaf8121031ea41dd0672c3abf03db205.jpg,5.6,800,400,12:29:17
+1.0,2012-03-20,2012-03-20 09:46:30,0,3,f92ff3a1e69b606f0bc82ebaf92dd336.jpg,5.6,800,400,09:46:30
+1.0,2013-01-29,2013-01-29 16:23:45,1,1,52ed24ee2a4e3df4ae6d78576bc2a3a8.jpg,5.6,800,400,16:23:45
+1.0,2012-04-03,2012-04-03 09:35:51,0,3,7939615ebb37623d4022b4c136718b99.jpg,5.6,800,400,09:35:51
+1.0,2013-02-26,2013-02-26 12:10:45,1,1,e06a861ae40292429487fbe19af15c5c.jpg,5.6,800,160,12:10:45
+1.0,2013-02-26,2013-02-26 12:09:04,1,1,82a2597b8cbdb4efc0f1c294c7adf4ea.jpg,5.6,800,200,12:09:04
+1.0,2012-04-03,2012-04-03 11:09:08,0,3,74468c23d45a44b2e49cfc85e1948802.jpg,5.6,800,400,11:09:08
+1.0,2012-03-20,2012-03-20 13:55:42,0,3,4158a11026d574899d26070749e352ad.jpg,5.6,800,400,13:55:42
+1.0,2013-01-29,2013-01-29 16:30:00,1,1,9daef4a910a6126fc5d26d6f0d79e912.jpg,5.6,800,640,16:30:00
+1.0,2013-02-13,2013-02-13 13:30:22,1,1,a56032119d086132d203f74fc6b830a4.jpg,5.6,800,100,13:30:22
+1.0,2013-02-13,2013-02-13 12:23:53,1,1,fb5a7ff4eaed100777c3940706971264.jpg,5.6,800,100,12:23:53
+1.0,2013-01-29,2013-01-29 16:21:08,1,1,c05e7856f72ea62467f955036a26a0a1.jpg,5.6,800,250,16:21:08
+1.0,2012-04-03,2012-04-03 12:37:38,0,3,7250299e57327b42d0a0e455a9c7f06a.jpg,5.6,800,400,12:37:38
+1.0,2012-03-08,2012-03-08 12:11:29,0,3,bde8169175985de4a6c23f1464469ea3.jpg,5.6,800,400,12:11:29
+1.0,2012-03-20,2012-03-20 09:40:59,0,3,4d634bcd7db0b5b16632ef1601c0bab1.jpg,5.6,800,400,09:40:59
+1.0,2013-02-20,2013-02-20 12:44:31,1,1,d3ec7478c69bed771167c0a6257d11f5.jpg,5.6,800,100,12:44:31
+1.0,2012-03-08,2012-03-08 12:12:28,0,3,356fbc1d0d3b4ab88f8f3adb0213fbf1.jpg,5.6,800,400,12:12:28
+1.0,2012-04-03,2012-04-03 09:38:43,0,3,c3c92df0fe3947eacd62954dcabf50db.jpg,5.6,800,400,09:38:43
+1.0,2013-02-13,2013-02-13 13:30:34,1,1,f5dcddd97b2d861ca8103eaef09c609c.jpg,5.6,800,100,13:30:34
+1.0,2012-04-03,2012-04-03 12:31:36,0,3,ad9cadef72496aa93e6197e8ca476419.jpg,5.6,800,400,12:31:36
+1.0,2013-01-28,2013-01-28 12:38:30,1,1,0a68a6fe8028d526ad6cf754b6c40194.jpg,5.6,800,100,12:38:30
+1.0,2013-02-20,2013-02-20 12:29:23,1,1,855e533c9285218ec59a11238fff2547.jpg,5.6,800,100,12:29:23
+1.0,2013-01-28,2013-01-28 12:37:50,1,1,7b85a474fd237505c971c5fab756cd4a.jpg,5.6,800,100,12:37:50
+1.0,2013-02-20,2013-02-20 12:06:21,1,1,fa281b7845a5b68d9223692a4b9bb109.jpg,5.6,800,160,12:06:21
+1.0,2012-04-03,2012-04-03 11:05:51,0,3,5d529f223107d12e3f9c6439844d6e54.jpg,5.6,800,400,11:05:51
+1.0,2013-01-29,2013-01-29 16:31:22,1,1,f71354ebaecf73b8ad5a63e61ffe46a8.jpg,5.6,800,250,16:31:22
+1.0,2013-01-29,2013-01-29 12:10:56,1,1,28e90d9d4a9b5e0da328540149104550.jpg,5.6,800,100,12:10:56
+1.0,2013-01-29,2013-01-29 16:33:24,1,1,6c6b784e796a4eb450960919329c77b0.jpg,5.6,800,500,16:33:24
+1.0,2013-02-20,2013-02-20 12:03:18,1,1,8733e26dc67fc293ec01b96c23802d47.jpg,5.6,800,200,12:03:18
+1.0,2013-02-20,2013-02-20 12:14:06,1,1,4ecb0b989f9d7b8714a778c3a51ba1f2.jpg,5.6,800,160,12:14:06
+1.0,2013-02-19,2013-02-19 16:16:01,1,1,83dfc52415cc2cf4e9e3bf149ca95236.jpg,5.6,800,320,16:16:01
+1.0,2012-03-22,2012-03-22 11:08:17,0,3,f72c248b0081d92fda1eb1a35a191463.jpg,5.6,800,400,11:08:17
+1.0,2013-02-26,2013-02-26 12:16:11,1,1,a52b018d38c2fc329854ff5c6e7ecd4d.jpg,5.6,800,160,12:16:11
+1.0,2012-03-08,2012-03-08 14:56:10,0,3,4156e63e8fe3dc252fb2e18f374dc245.jpg,5.6,800,400,14:56:10
+1.0,2012-03-20,2012-03-20 13:56:22,0,3,b31b87b849e6ed9dc7017c27a31ec9fe.jpg,5.6,800,400,13:56:22
+1.0,2012-03-20,2012-03-20 11:08:21,0,3,cf3694bbb76699de1d5f3be6d86b9473.jpg,5.6,800,400,11:08:21
+1.0,2013-02-20,2013-02-20 12:13:15,1,1,05c4666a92da17f1a2403d77fb6664a7.jpg,5.6,800,160,12:13:15
+1.0,2013-02-19,2013-02-19 16:22:35,1,1,40b4c82977a1fcc1abf12558ceb296e8.jpg,5.6,800,400,16:22:35
+1.0,2013-01-29,2013-01-29 16:32:55,1,1,9e515a661a2269612f0f8559221eca82.jpg,5.6,800,400,16:32:55
+1.0,2012-03-20,2012-03-20 15:24:31,0,3,707237e835cd5a8f49d37572200faaea.jpg,5.6,800,400,15:24:31
+1.0,2013-02-19,2013-02-19 16:18:10,1,1,c6468134a32f3245920a35d82a280eee.jpg,5.6,800,320,16:18:10
+1.0,2012-03-20,2012-03-20 13:57:19,0,3,15e7ab029051b484cffe331f03f0932b.jpg,5.6,800,400,13:57:19
+1.0,2013-02-20,2013-02-20 12:26:48,1,1,ffc680cefeeaf47e5123940fbe4230ad.jpg,5.6,800,100,12:26:48
+1.0,2012-03-20,2012-03-20 09:39:54,0,3,c70b14cdf44bdfe9ffe163ee219c35b1.jpg,5.6,800,400,09:39:54
+1.0,2013-02-13,2013-02-13 13:00:43,1,1,7910925e5d6eb1915c62f67e7daa7e62.jpg,5.6,800,100,13:00:43
+1.0,2012-04-03,2012-04-03 11:05:12,0,3,80e7b5b8bc06c5eb254cdb00eccd54ec.jpg,5.6,800,400,11:05:12
+1.0,2012-04-24,2012-04-24 09:41:30,0,3,865398e630ef4565af6685b4e1320f92.jpg,5.6,800,400,09:41:30
+1.0,2013-02-20,2013-02-20 12:36:02,1,1,b08e07718be5e752a53afeaeae29c799.jpg,5.6,800,100,12:36:02
+1.0,2013-02-20,2013-02-20 12:13:54,1,1,e62a41cdb2691d4df7f9521c52457b77.jpg,5.6,800,125,12:13:54
+1.0,2013-02-20,2013-02-20 12:14:01,1,1,c7e4abdc0f38fe023c9e46916daf9b2b.jpg,5.6,800,160,12:14:01
+1.0,2013-02-20,2013-02-20 12:25:11,1,1,a05ad7ac3c11ab2aee4667218f09d983.jpg,5.6,800,100,12:25:11
+1.0,2013-02-19,2013-02-19 16:23:09,1,1,500288095db39e2b1c7226a9f260cd91.jpg,5.6,800,400,16:23:09
+1.0,2012-04-03,2012-04-03 09:37:55,0,3,95bbb1ef2be6f95abdabf39c59455da5.jpg,5.6,800,400,09:37:55
+1.0,2013-02-13,2013-02-13 12:19:45,1,1,e6122e247b38cac72c3da572f2d81f02.jpg,5.6,800,100,12:19:45
+1.0,2013-01-29,2013-01-29 16:26:10,1,1,dbe3b9272a9822749569e0ce8f9344fc.jpg,5.6,800,640,16:26:10
+1.0,2013-02-19,2013-02-19 16:21:53,1,1,264d124715fa39c82ecf48dfdd80b4ce.jpg,5.6,800,320,16:21:53
+1.0,2013-01-28,2013-01-28 12:40:19,1,1,b32c131ba7310859d065356cd1f2f6c3.jpg,5.6,800,100,12:40:19
+1.0,2013-01-29,2013-01-29 12:33:16,1,1,44834aa7d8e2a65e2a8ce51332a103b2.jpg,5.6,800,100,12:33:16
+1.0,2013-02-19,2013-02-19 16:26:37,1,1,b4ed191d7eb23ed8cf5d78ae21e0af06.jpg,5.6,800,320,16:26:37
+1.0,2012-04-03,2012-04-03 09:37:55,0,3,ee0ac89bbf0a84f0ce48ebe5d5733a5c.jpg,5.6,800,400,09:37:55
+1.0,2012-03-20,2012-03-20 09:45:30,0,3,56027575e41b5abba83bcfd0663eebc1.jpg,5.6,800,400,09:45:30
+1.0,2012-04-03,2012-04-03 09:41:51,0,3,3b3b26ef0d953ca5debe842110525334.jpg,5.6,800,400,09:41:51
+1.0,2013-01-29,2013-01-29 16:27:11,1,1,d4d1afdfb9f946ca1f183580e13e403a.jpg,5.6,800,250,16:27:11
+1.0,2012-04-03,2012-04-03 09:35:45,0,3,239d147adadbc1f21cba8bfac7e320a3.jpg,5.6,800,400,09:35:45
+1.0,2013-02-20,2013-02-20 12:43:49,1,1,e4919940343ad575fe2a2e4fefc2ee44.jpg,5.6,800,125,12:43:49
+1.0,2012-03-20,2012-03-20 12:29:40,0,3,2a80e2e36194c41374a608042fa68829.jpg,5.6,800,400,12:29:40
+1.0,2013-01-29,2013-01-29 16:33:54,1,1,3373c6ebdd64767a54932cfbead4fbb4.jpg,5.6,800,400,16:33:54
+1.0,2012-03-13,2012-03-13 11:09:03,0,3,ae55e43ffd8c50120a4cb6b5dacfcbcc.jpg,5.6,800,400,11:09:03
+1.0,2012-03-06,2012-03-06 13:30:22,0,3,8f03223d190902be7bfa25c58f657291.jpg,5.6,800,400,13:30:22
+1.0,2012-04-03,2012-04-03 09:44:51,0,3,dc643de67b8c56275c51bb747e5dca5f.jpg,5.6,800,400,09:44:51
+1.0,2013-02-13,2013-02-13 12:58:27,1,1,4df6a9ac135aa8f8efa1dba1ce3ede94.jpg,5.6,800,100,12:58:27
+1.0,2013-01-29,2013-01-29 12:15:39,1,1,bccd84645f701cdf84bc673f6b05d873.jpg,5.6,800,100,12:15:39
+1.0,2012-04-03,2012-04-03 09:36:25,0,3,7313c80f5b06c36b51be7bdf4293a3b4.jpg,5.6,800,400,09:36:25
+1.0,2013-01-29,2013-01-29 16:34:57,1,1,01c0381bb9e08b597708cf078efa978d.jpg,5.6,800,320,16:34:57
+1.0,2012-03-22,2012-03-22 11:06:44,0,3,c94bb265f2142c0610044bff23464dcb.jpg,5.6,800,400,11:06:44
+1.0,2012-03-20,2012-03-20 13:56:20,0,3,ce982b3cf791f42862cc578f46fb1792.jpg,5.6,800,400,13:56:20
+1.0,2013-02-19,2013-02-19 16:30:57,1,1,f3784a6a40a5e323a4ad049450f798d0.jpg,5.6,800,320,16:30:57
+1.0,2013-01-28,2013-01-28 12:36:04,1,1,a19ff9c199b142ee84d0355ec1d62f2c.jpg,5.6,800,100,12:36:04
+1.0,2012-04-03,2012-04-03 09:35:30,0,3,5b6f4cb957cc09020d2234ffc4c7728f.jpg,5.6,800,400,09:35:30
+1.0,2013-01-29,2013-01-29 12:32:04,1,1,e521e5184be2fc221595caf0c839a177.jpg,5.6,800,100,12:32:04
+1.0,2012-03-20,2012-03-20 09:46:31,0,3,7cc07779a3c36bd77ba2393f8a4e2cf4.jpg,5.6,800,400,09:46:31
+1.0,2013-01-28,2013-01-28 12:40:55,1,1,8a8e3e0f6e521d3a80bbd81961e3cb5a.jpg,5.6,800,100,12:40:55
+1.0,2012-04-03,2012-04-03 11:08:09,0,3,14c580b3467c9bf1d15ff456259bc94c.jpg,5.6,800,400,11:08:09
+1.0,2013-01-29,2013-01-29 16:24:32,1,1,96d5ecce07b21e11e24b7c0033a70562.jpg,5.6,800,320,16:24:32
+1.0,2012-04-03,2012-04-03 11:08:43,0,3,e48b0b7879a412124d677e640d178772.jpg,5.6,800,400,11:08:43
+1.0,2013-02-13,2013-02-13 13:17:34,1,1,68e68672f3690941fb93357eef92f2d4.jpg,5.6,800,100,13:17:34
+1.0,2013-02-20,2013-02-20 12:11:43,1,1,f36991cbcf34e21bc707c2206a8e9c0e.jpg,5.6,800,160,12:11:43
+1.0,2013-02-13,2013-02-13 13:13:24,1,1,c649702b29bc8db371478a7bb9077cbe.jpg,5.6,800,100,13:13:24
+1.0,2012-03-06,2012-03-06 13:29:03,0,3,afbdfad5730eb5678d747897deaa8a96.jpg,5.6,800,400,13:29:03
+1.0,2013-01-28,2013-01-28 12:38:43,1,1,7dfd6150fa438bf42a96db9bcae3d99b.jpg,5.6,800,100,12:38:43
+1.0,2012-03-20,2012-03-20 11:06:38,0,3,5827c848300077e7cb9e66299503cdfd.jpg,5.6,800,400,11:06:38
+1.0,2013-01-28,2013-01-28 12:36:13,1,1,8d86658ea186baab84dd0a6ac9a59dec.jpg,5.6,800,100,12:36:13
+1.0,2013-02-20,2013-02-20 12:14:05,1,1,55392c78715a1a608ed2235b9f18fb0b.jpg,5.6,800,125,12:14:05
+1.0,2012-03-20,2012-03-20 11:07:04,0,3,bd9184a05a4368deedd57fff6e2105a9.jpg,5.6,800,400,11:07:04
+1.0,2012-03-06,2012-03-06 13:31:29,0,3,ef10e9855f8241daf262b19603f378bc.jpg,5.6,800,400,13:31:29
+1.0,2012-04-03,2012-04-03 11:04:49,0,3,a847728bb5ab7fde61fc7b350a6ecfb2.jpg,5.6,800,400,11:04:49
+1.0,2012-04-03,2012-04-03 11:04:03,0,3,2c272a1ba7fadaf2ae3091379a8ca135.jpg,5.6,800,400,11:04:03
+1.0,2013-02-20,2013-02-20 12:25:21,1,1,2322eec9b77ab8c7904a3981053ed638.jpg,5.6,800,100,12:25:21
+1.0,2013-01-28,2013-01-28 12:37:55,1,1,cb271e2b7ab09b0a43bddc34a2c46640.jpg,5.6,800,100,12:37:55
+1.0,2012-03-20,2012-03-20 12:31:33,0,3,031327943dff8d06a4041b89df4a9caa.jpg,5.6,800,400,12:31:33
+1.0,2013-01-29,2013-01-29 12:34:47,1,1,41e408b191911d94884265bf074bc861.jpg,5.6,800,100,12:34:47
+1.0,2012-04-03,2012-04-03 11:05:44,0,3,84d5dfb48ddbed561e5903cd7b27cd73.jpg,5.6,800,400,11:05:44
+1.0,2012-03-20,2012-03-20 09:45:56,0,3,e724e7ffd64f0570af3c25a1ca69a82b.jpg,5.6,800,400,09:45:56
+1.0,2013-02-13,2013-02-13 12:48:08,1,1,2fdb18d1db920606fb526f69b683f519.jpg,5.6,800,100,12:48:08
+1.0,2012-03-20,2012-03-20 13:56:00,0,3,26238c01670c9ae736e21115af5132b1.jpg,5.6,800,400,13:56:00
+1.0,2013-01-29,2013-01-29 16:29:00,1,1,eb51c04f592d770934f2d7a55f041e2b.jpg,5.6,800,400,16:29:00
+1.0,2013-01-29,2013-01-29 16:21:14,1,1,5628ca78db68b14d96467e7f5eaac918.jpg,5.6,800,200,16:21:14
+1.0,2013-01-29,2013-01-29 12:20:46,1,1,44e743eee647cefc605d0112bf824f60.jpg,5.6,800,100,12:20:46
+1.0,2012-03-20,2012-03-20 13:58:29,0,3,17d49379d19e09fedab32e302f50f4fe.jpg,5.6,800,400,13:58:29
+1.0,2013-02-13,2013-02-13 12:08:46,1,1,6138ebba2ba707c12f7b9dd63d5e6e1b.jpg,5.6,800,100,12:08:46
+1.0,2012-04-03,2012-04-03 09:40:46,0,3,2c1b3cf7d80502d61fdf1b1bd0b00333.jpg,5.6,800,400,09:40:46
+1.0,2012-04-03,2012-04-03 09:37:44,0,3,1ab160b15313644569b9ab76f7fcfae5.jpg,5.6,800,400,09:37:44
+1.0,2012-03-22,2012-03-22 11:10:56,0,3,576e0b295b8d9c82e0c3fb1f8827f4ca.jpg,5.6,800,400,11:10:56
+1.0,2013-01-28,2013-01-28 12:33:14,1,1,436bb041c6f4560a2ebefc6057807a85.jpg,5.6,800,100,12:33:14
+1.0,2013-02-20,2013-02-20 12:03:07,1,1,2cb0c7b71265287b1d2bfd2ad0ca1f55.jpg,5.6,800,160,12:03:07
+1.0,2013-02-26,2013-02-26 12:07:32,1,1,50e3e5b94383efd1b61153d227bc5532.jpg,5.6,800,200,12:07:32
+1.0,2012-04-03,2012-04-03 09:37:43,0,3,9d02d1cb59c7275044701d8719846f69.jpg,5.6,800,400,09:37:43
+1.0,2013-01-29,2013-01-29 12:31:16,1,1,9060697094dfbbd16eeeff77a1b27c18.jpg,5.6,800,100,12:31:16
+1.0,2013-01-29,2013-01-29 16:34:03,1,1,44e736bd1c9c04512815c6d4197747b0.jpg,5.6,800,400,16:34:03
+1.0,2012-03-20,2012-03-20 09:45:51,0,3,887ae5037c9f594a87466e909098706f.jpg,5.6,800,400,09:45:51
+1.0,2013-01-28,2013-01-28 12:42:31,1,1,cc803d8497232e226a40ecaaf174ba00.jpg,5.6,800,100,12:42:31
+1.0,2013-02-19,2013-02-19 16:16:04,1,1,202f3a68d782b0ac29f72bde51633462.jpg,5.6,800,400,16:16:04
+1.0,2012-03-06,2012-03-06 13:29:22,0,3,c4be7c234d9bf50615626a587bbedb82.jpg,5.6,800,400,13:29:22
+1.0,2013-01-29,2013-01-29 12:10:17,1,1,a3a6aec50e5e0ec6601a321413d6e5de.jpg,5.6,800,100,12:10:17
+1.0,2013-02-19,2013-02-19 16:14:31,1,1,2f635447521a0eb32b9c804106e6b032.jpg,5.6,800,320,16:14:31
+1.0,2012-04-03,2012-04-03 11:04:02,0,3,7621794b566f522a5a4dd85cda1343e0.jpg,5.6,800,400,11:04:02
+1.0,2013-01-28,2013-01-28 12:38:46,1,1,b99170c4cd103263928e4d1b832bebd4.jpg,5.6,800,100,12:38:46
+1.0,2012-03-06,2012-03-06 13:29:46,0,3,6ecd32efa7ea83bd2d757dc1a5329a45.jpg,5.6,800,400,13:29:46
+1.0,2012-03-20,2012-03-20 12:32:45,0,3,3378ac3363df7f3df536f959f9e54ae6.jpg,5.6,800,400,12:32:45
+1.0,2013-01-29,2013-01-29 12:12:45,1,1,cd8c04e5502ed5f5885fd02c94d3c322.jpg,5.6,800,100,12:12:45
+1.0,2013-02-26,2013-02-26 12:11:07,1,1,756b5ea36288233ea55b6bdedbec59e4.jpg,5.6,800,200,12:11:07
+1.0,2013-02-20,2013-02-20 12:06:55,1,1,9174c3dd72ab96afc8f0bdadf8f4ccc2.jpg,5.6,800,160,12:06:55
+1.0,2013-02-13,2013-02-13 13:23:40,1,1,71237800a863e41b2cb2ab223730606f.jpg,5.6,800,100,13:23:40
+1.0,2013-01-29,2013-01-29 16:22:45,1,1,4949cfb9a39852317237cec6a89870d7.jpg,5.6,800,400,16:22:45
+1.0,2012-03-20,2012-03-20 15:24:59,0,3,ffb38436a4889495d4a86d4c01f0d703.jpg,5.6,800,400,15:24:59
+1.0,2012-02-23,2012-02-23 14:54:46,0,3,466898bd1be48a1ae0d8e7f139bfeaf6.jpg,5.6,800,400,14:54:46
+1.0,2013-02-26,2013-02-26 12:19:15,1,1,02bc128338e72bff168df68a3d5cc889.jpg,5.6,800,200,12:19:15
+1.0,2012-03-08,2012-03-08 12:13:18,0,3,00632a3e3bf8169487fee41c5949e161.jpg,5.6,800,400,12:13:18
+1.0,2012-03-08,2012-03-08 12:12:10,0,3,b192a1c4374de0088ff1856ec2d18cf1.jpg,5.6,800,400,12:12:10
+1.0,2012-03-20,2012-03-20 12:28:26,0,3,e00f0bdd4381c24c078bf60a9b1245a7.jpg,5.6,800,400,12:28:26
+1.0,2012-04-03,2012-04-03 11:11:04,0,3,42013351e8cdee201eb3fd5963ff3807.jpg,5.6,800,400,11:11:04
+1.0,2013-02-20,2013-02-20 12:05:02,1,1,6e4aa5d819dfd1068346a7d5cf2966e6.jpg,5.6,800,160,12:05:02
+1.0,2012-04-03,2012-04-03 11:12:00,0,3,a28bcae176afe3a21e29f66c9dba7531.jpg,5.6,800,400,11:12:00
+1.0,2013-02-20,2013-02-20 12:11:18,1,1,62251414b626b5028de9dd1d324c996b.jpg,5.6,800,200,12:11:18
+1.0,2012-03-20,2012-03-20 09:40:26,0,3,0b9f394d9d8b843d309a22f574df8b06.jpg,5.6,800,400,09:40:26
+1.0,2012-03-20,2012-03-20 13:56:09,0,3,fa2be62f4c137b0e58c97cdbf2b2eabb.jpg,5.6,800,400,13:56:09
+1.0,2012-03-08,2012-03-08 12:11:16,0,3,37d32d32ca99de40b54f96aa61c6d6ac.jpg,5.6,800,400,12:11:16
+1.0,2013-02-20,2013-02-20 12:01:33,1,1,bc2e6c6a76f7840873349a5f30197cda.jpg,5.6,800,160,12:01:33
+1.0,2013-01-28,2013-01-28 12:39:09,1,1,5e1e53ebb565b7ecdb71d3c2aeb307e2.jpg,5.6,800,100,12:39:09
+1.0,2013-02-20,2013-02-20 12:35:55,1,1,24aede2597836881dcd5d4b7be84ad0f.jpg,5.6,800,100,12:35:55
+1.0,2012-04-03,2012-04-03 09:35:53,0,3,53e46cd22afd868b67b6a8c09a2246ae.jpg,5.6,800,400,09:35:53
+1.0,2012-03-20,2012-03-20 15:23:57,0,3,65f8b5f077f3e9299012eb0635054a05.jpg,5.6,800,400,15:23:57
+1.0,2012-03-13,2012-03-13 11:11:27,0,3,baf421f9dff377b81992e16ffd48d99c.jpg,5.6,800,400,11:11:27
+1.0,2012-03-06,2012-03-06 13:31:20,0,3,8e8037aa309f26a5091274f9e54ff0ea.jpg,5.6,800,400,13:31:20
+1.0,2013-01-28,2013-01-28 12:33:36,1,1,c73b256b2f72b5e82f9f3175c1c078d9.jpg,5.6,800,100,12:33:36
+1.0,2012-03-20,2012-03-20 12:33:59,0,3,f98d0261568d874789a715ab67becbc1.jpg,5.6,800,400,12:33:59
+1.0,2013-01-28,2013-01-28 12:38:28,1,1,13dd4f0ae625b179425c633abe7a0981.jpg,5.6,800,100,12:38:28
+1.0,2013-02-20,2013-02-20 12:09:10,1,1,3389bb0beb685c07f6608af7184a304e.jpg,5.6,800,250,12:09:10
+1.0,2012-04-03,2012-04-03 09:44:53,0,3,f725aebb05ce4ee6fb031d00f5ac72b4.jpg,5.6,800,400,09:44:53
+1.0,2013-02-20,2013-02-20 12:14:12,1,1,20064ac56ba9f9bd5e05c4b2c75600fe.jpg,5.6,800,125,12:14:12
+1.0,2012-03-20,2012-03-20 13:57:30,0,3,af15da66650d625f12bf646e2781e1cd.jpg,5.6,800,400,13:57:30
+1.0,2012-03-20,2012-03-20 12:32:04,0,3,00c3a759174c5ba1ef27bfce699ceaf1.jpg,5.6,800,400,12:32:04
+1.0,2012-03-22,2012-03-22 11:09:49,0,3,1e421c8f4f9bbac8ad7d03f18e638db4.jpg,5.6,800,400,11:09:49
+1.0,2013-02-26,2013-02-26 12:10:45,1,1,60f78f129db73a010120307d2474f4a7.jpg,5.6,800,160,12:10:45
+1.0,2012-04-03,2012-04-03 11:12:54,0,3,13b74b75db83e2bbccd9e5b0cf879f66.jpg,5.6,800,400,11:12:54
+1.0,2012-03-20,2012-03-20 12:29:51,0,3,626b53934351080492e6e19b91b5e7d1.jpg,5.6,800,400,12:29:51
+1.0,2013-01-28,2013-01-28 12:33:18,1,1,98ccfcefcf03421880ba6fb8e97c7d12.jpg,5.6,800,100,12:33:18
+1.0,2012-02-23,2012-02-23 14:56:12,0,3,2e8abf91183ac4eceb4da15080540b00.jpg,5.6,800,400,14:56:12
+1.0,2012-03-20,2012-03-20 15:25:04,0,3,15c0fe620e0329d0a220d50a2915cb6c.jpg,5.6,800,400,15:25:04
+1.0,2013-02-13,2013-02-13 13:30:14,1,1,e5f2a35b463dc058bef1d6d94e29f7a5.jpg,5.6,800,100,13:30:14
+1.0,2013-02-26,2013-02-26 12:13:08,1,1,3817e646b1c474feb381d5fe5b7b5f96.jpg,5.6,800,160,12:13:08
+1.0,2013-01-29,2013-01-29 12:15:08,1,1,ae35df8388eea2a0f31a08ae355331df.jpg,5.6,800,100,12:15:08
+1.0,2012-04-03,2012-04-03 09:43:48,0,3,1d1fd9f751144e7dd82d6620da38fd62.jpg,5.6,800,400,09:43:48
+1.0,2012-03-20,2012-03-20 09:41:24,0,3,131aab6ae0ced505731341ff15b5fb3c.jpg,5.6,800,400,09:41:24
+1.0,2012-03-20,2012-03-20 12:30:31,0,3,4fb75795e116a8cffd0ab450329bd0a5.jpg,5.6,800,400,12:30:31
+1.0,2013-02-20,2013-02-20 12:19:44,1,1,c37f594bf7c90f94ea0e098d2a2025eb.jpg,5.6,800,100,12:19:44
+1.0,2013-02-19,2013-02-19 16:26:23,1,1,66cd2b0d4ac26929e8332ba6be900618.jpg,5.6,800,320,16:26:23
+1.0,2012-03-20,2012-03-20 12:29:44,0,3,dec1c73e907a2c6986d2d029ea651e5e.jpg,5.6,800,400,12:29:44
+1.0,2012-03-13,2012-03-13 11:09:40,0,3,147146d2ce9a66ed53ce38d734bd75fb.jpg,5.6,800,400,11:09:40
+1.0,2013-02-20,2013-02-20 12:07:59,1,1,689d5b34c9ec81469e0fe2edc89ae279.jpg,5.6,800,200,12:07:59
+1.0,2013-02-26,2013-02-26 12:42:11,1,1,31d3f729efb8d47eba8899373aa5036d.jpg,5.6,800,200,12:42:11
+1.0,2012-03-20,2012-03-20 12:36:52,0,3,71cb35a8205f01279b45d7c85de0ca68.jpg,5.6,800,400,12:36:52
+1.0,2013-01-28,2013-01-28 12:38:23,1,1,e578e481dc45be63699061a5f3c7701f.jpg,5.6,800,100,12:38:23
+1.0,2012-03-22,2012-03-22 11:06:40,0,3,8c763b2c1fa1ec38e169e56e829f9dc1.jpg,5.6,800,400,11:06:40
+1.0,2012-04-03,2012-04-03 12:38:03,0,3,a3065bfb2942bf40e81cc7fd7b0cad77.jpg,5.6,800,400,12:38:03
+1.0,2012-03-06,2012-03-06 13:29:30,0,3,2d1e195d4cbacc4f1aeb73e470eb8da3.jpg,5.6,800,400,13:29:30
+1.0,2012-03-20,2012-03-20 12:31:38,0,3,a10d67d92056adbc3cecde66631c5c1b.jpg,5.6,800,400,12:31:38
+1.0,2013-02-20,2013-02-20 12:05:12,1,1,83285a85a09b2b45d93fc8c89dabfa9f.jpg,5.6,800,200,12:05:12
+1.0,2013-02-20,2013-02-20 12:09:06,1,1,6b1e471a3cc9b2cd8c3fad2101910b21.jpg,5.6,800,160,12:09:06
+1.0,2012-03-06,2012-03-06 13:29:36,0,3,c2ad69a4dd928ba3877634763253a8aa.jpg,5.6,800,400,13:29:36
+1.0,2013-02-20,2013-02-20 12:15:39,1,1,76314aae3834f4c01a8d6ffab1cb1332.jpg,5.6,800,160,12:15:39
+1.0,2012-04-03,2012-04-03 09:41:18,0,3,82b4bf05f099cedf0277a39cfa3a67e9.jpg,5.6,800,400,09:41:18
+1.0,2013-01-28,2013-01-28 12:40:45,1,1,e8767d95a9cbb28b81c856f32d95d7c5.jpg,5.6,800,100,12:40:45
+1.0,2013-01-29,2013-01-29 12:33:29,1,1,d4e4b0adc7305f895e390013c064c6c5.jpg,5.6,800,100,12:33:29
+1.0,2013-01-29,2013-01-29 12:19:50,1,1,cf077f2ed7afa90fa97402b4f6aadf5f.jpg,5.6,800,100,12:19:50
+1.0,2013-02-13,2013-02-13 12:18:11,1,1,70d0cf04fc0ae359598d9059db2a5294.jpg,5.6,800,100,12:18:11
+1.0,2013-02-13,2013-02-13 12:45:42,1,1,cad3a14debae968476088bd7a9abdeca.jpg,5.6,800,100,12:45:42
+1.0,2013-02-19,2013-02-19 16:34:25,1,1,eacf8cc350fd3d9f84d3ee35d916a16d.jpg,5.6,800,320,16:34:25
+1.0,2012-04-03,2012-04-03 09:35:37,0,3,834c17b4564b125991db3b75a871b114.jpg,5.6,800,400,09:35:37
+1.0,2013-02-26,2013-02-26 12:08:54,1,1,f46fa2e6f1ef224d82744fc781cf85fa.jpg,5.6,800,200,12:08:54
+1.0,2013-02-19,2013-02-19 16:22:55,1,1,ef7c18396d918c5f70554e1d5f38517d.jpg,5.6,800,400,16:22:55
+1.0,2013-01-28,2013-01-28 12:38:30,1,1,009500c35768602f0b07f4bf5141bd37.jpg,5.6,800,100,12:38:30
+1.0,2013-01-29,2013-01-29 16:33:06,1,1,8b20eae3067439ca87d267a4b692181b.jpg,5.6,800,320,16:33:06
+1.0,2013-01-28,2013-01-28 12:41:49,1,1,41719efaaf8bee9a8f164f7a9b70188e.jpg,5.6,800,100,12:41:49
+1.0,2013-02-13,2013-02-13 12:07:38,1,1,48edfc442b066c0523fa1e6256ea23fb.jpg,5.6,800,100,12:07:38
+1.0,2012-02-23,2012-02-23 14:56:52,0,3,feff9bc4194e6846ae254a64aebc2617.jpg,5.6,800,400,14:56:52
+1.0,2013-02-19,2013-02-19 16:35:19,1,1,357e7af90283dafa2740ad0897fafea1.jpg,5.6,800,400,16:35:19
+1.0,2013-02-19,2013-02-19 16:35:20,1,1,7aa1777c55c162be4dea006695150e7b.jpg,5.6,800,400,16:35:20
+1.0,2013-02-13,2013-02-13 13:24:39,1,1,bfe718dba6d6e81fcc6d5da8321b1598.jpg,5.6,800,100,13:24:39
+1.0,2012-03-20,2012-03-20 09:42:26,0,3,893ba64baf01c2fa22ad14f9627a3889.jpg,5.6,800,400,09:42:26
+1.0,2013-02-20,2013-02-20 12:10:19,1,1,d19259a6c7dee90914a7d8b9fa9444ba.jpg,5.6,800,160,12:10:19
+1.0,2012-03-08,2012-03-08 15:00:58,0,3,07c69f15e1f9bf94d3ee6fc91a0d6ce5.jpg,5.6,800,400,15:00:58
+1.0,2012-04-03,2012-04-03 09:36:57,0,3,dc2e16a75cb46c430a20e00dfaabf9e2.jpg,5.6,800,400,09:36:57
+1.0,2013-01-29,2013-01-29 16:25:38,1,1,78b084309f975835fb403504b9bec367.jpg,5.6,800,320,16:25:38
+1.0,2012-03-20,2012-03-20 09:43:34,0,3,598492d75c72226fe7f18c9d2c6863af.jpg,5.6,800,400,09:43:34
+1.0,2013-02-19,2013-02-19 16:28:48,1,1,43a9c5c9bcb6f80184f7ba353e4cee1c.jpg,5.6,800,400,16:28:48
+1.0,2013-01-29,2013-01-29 12:16:02,1,1,fd7f303db2eb93ac4fb8da8b569671f1.jpg,5.6,800,100,12:16:02
+1.0,2012-03-20,2012-03-20 09:46:37,0,3,d551ed528bb822280dcf4ef7ea469395.jpg,5.6,800,400,09:46:37
+1.0,2012-03-20,2012-03-20 12:33:33,0,3,8668bfd8c8137b9f518f27138461f928.jpg,5.6,800,400,12:33:33
+1.0,2013-02-26,2013-02-26 12:04:01,1,1,542c66a9f84995f87a873901cfc99af9.jpg,5.6,800,160,12:04:01
+1.0,2013-01-28,2013-01-28 12:40:04,1,1,6156cd43b4610385e9f43556dcb3fa1e.jpg,5.6,800,100,12:40:04
+1.0,2013-02-13,2013-02-13 13:30:09,1,1,fa308b137a3fe4828fef8062d35f756f.jpg,5.6,800,125,13:30:09
+1.0,2013-01-29,2013-01-29 12:10:04,1,1,1f3081d1ae23211f7c45112010b5b52e.jpg,5.6,800,100,12:10:04
+1.0,2012-03-08,2012-03-08 10:46:07,0,3,36f2081ed943ba83efa86c8fd756038c.jpg,5.6,800,400,10:46:07
+1.0,2013-02-13,2013-02-13 12:45:50,1,1,97c9762f2def05e7ae4ae5d93b9dc9c7.jpg,5.6,800,100,12:45:50
+1.0,2012-03-20,2012-03-20 09:46:29,0,3,344a32c7f59ebd0ba19f4fa0dae7713d.jpg,5.6,800,400,09:46:29
+1.0,2012-04-03,2012-04-03 11:08:35,0,3,23fec526505c74c8ce27d2e7114e5064.jpg,5.6,800,400,11:08:35
+1.0,2012-04-03,2012-04-03 09:35:02,0,3,6f55c9adc2ad9c7d08ea55dcc6f36565.jpg,5.6,800,400,09:35:02
+1.0,2012-03-20,2012-03-20 13:56:12,0,3,e71d0888a1a545b2361ac1bcd7d0a879.jpg,5.6,800,400,13:56:12
+1.0,2012-04-03,2012-04-03 11:10:37,0,3,5a94a81d6192749dff7bcb8363d7b000.jpg,5.6,800,400,11:10:37
+1.0,2013-01-29,2013-01-29 12:34:04,1,1,41c9ef643d201cf30ab89dfdbd9e50c0.jpg,5.6,800,100,12:34:04
+1.0,2012-04-03,2012-04-03 09:44:14,0,3,bbd152acf9a3fa13936d6a4b0f62518a.jpg,5.6,800,400,09:44:14
+1.0,2012-03-20,2012-03-20 11:05:55,0,3,853a8a8a1fb98f3f1312d886e95c6973.jpg,5.6,800,400,11:05:55
+1.0,2012-04-03,2012-04-03 09:34:59,0,3,c167bb362db3da97092332ef9baffca3.jpg,5.6,800,400,09:34:59
+1.0,2012-03-20,2012-03-20 12:33:39,0,3,1afbe1ff21ca333426822baa5a924b0b.jpg,5.6,800,400,12:33:39
+1.0,2013-02-13,2013-02-13 12:14:52,1,1,e6f2f02745584c718a36372998c79a41.jpg,5.6,800,100,12:14:52
+1.0,2012-04-03,2012-04-03 11:10:45,0,3,11385bce7803598dd98d7d1c2898756b.jpg,5.6,800,400,11:10:45
+1.0,2013-02-13,2013-02-13 12:12:45,1,1,497d20c1d790273fef4d4dce3deeffff.jpg,5.6,800,100,12:12:45
+1.0,2013-02-20,2013-02-20 12:06:51,1,1,30dc300edc8faedb61b79473785380f5.jpg,5.6,800,200,12:06:51
+1.0,2012-03-08,2012-03-08 12:12:09,0,3,d79ec257852380091e1868deefb91e9a.jpg,5.6,800,400,12:12:09
+1.0,2012-04-03,2012-04-03 12:35:20,0,3,bd4006df7cb229e7c0d01677d4fb08c9.jpg,5.6,800,400,12:35:20
+1.0,2013-02-20,2013-02-20 12:19:43,1,1,164330be2e0e8a0ed63260696fd06016.jpg,5.6,800,100,12:19:43
+1.0,2013-02-19,2013-02-19 16:26:40,1,1,63b27f4b53c9c63ca8022f9570ce6ec0.jpg,5.6,800,400,16:26:40
+1.0,2013-02-13,2013-02-13 13:30:11,1,1,19b56b78adb1ca54b89eb98f2610b072.jpg,5.6,800,125,13:30:11
+1.0,2012-03-20,2012-03-20 09:42:08,0,3,ea92d7cb54559b2632221303303e2450.jpg,5.6,800,400,09:42:08
+1.0,2012-03-20,2012-03-20 15:23:19,0,3,0210938940728172511f59f518d454ae.jpg,5.6,800,400,15:23:19
+1.0,2013-01-29,2013-01-29 16:21:08,1,1,86e0f93c8319d361d6f0eeb16aca2847.jpg,5.6,800,400,16:21:08
+1.0,2012-03-08,2012-03-08 10:47:47,0,3,5e2237102581c578b168dd1bf136ba2a.jpg,5.6,800,400,10:47:47
+1.0,2013-02-19,2013-02-19 16:28:27,1,1,da126e92deb2a32e3544ff25a00a08b9.jpg,5.6,800,320,16:28:27
+1.0,2012-03-08,2012-03-08 15:00:57,0,3,14c5eef5f7731224990d30f8e0f971ca.jpg,5.6,800,400,15:00:57
+1.0,2013-01-29,2013-01-29 16:23:17,1,1,301df01a0e3b4a1ac14526e503749c61.jpg,5.6,800,200,16:23:17
+1.0,2013-02-13,2013-02-13 12:00:19,1,1,7ee89a1c21ba83514c2f260a0319df9a.jpg,5.6,800,100,12:00:19
+1.0,2013-01-29,2013-01-29 16:24:51,1,1,82352f377a46abc85b78c4e3b2f5cc9b.jpg,5.6,800,500,16:24:51
+1.0,2012-04-03,2012-04-03 09:37:41,0,3,59e182965adeefa4007fb9ce63ec24c7.jpg,5.6,800,400,09:37:41
+1.0,2012-03-20,2012-03-20 13:59:35,0,3,8aa5e17bfdf39c9274b413ff305cc486.jpg,5.6,800,400,13:59:35
+1.0,2013-01-29,2013-01-29 16:32:33,1,1,ea02b1d3f5147dc9640a2e12ad8584d4.jpg,5.6,800,400,16:32:33
+1.0,2012-03-20,2012-03-20 11:05:51,0,3,bca75b70c846f58f678641f0dd64ec99.jpg,5.6,800,400,11:05:51
+1.0,2013-02-26,2013-02-26 12:11:04,1,1,14865205a67d2827157556be09156452.jpg,5.6,800,200,12:11:04
+1.0,2013-02-13,2013-02-13 12:33:21,1,1,f379a9efe87af0decfe53491720227ce.jpg,5.6,800,100,12:33:21
+1.0,2013-01-29,2013-01-29 12:16:42,1,1,1c0109a1e1a9bebeaa302a7f6ab1a20a.jpg,5.6,800,100,12:16:42
+1.0,2013-01-28,2013-01-28 12:41:20,1,1,9feb8c82a78b6601246fb97edf669edf.jpg,5.6,800,100,12:41:20
+1.0,2012-03-20,2012-03-20 09:46:47,0,3,2ebd5377466082f600e7230f9856460d.jpg,5.6,800,400,09:46:47
+1.0,2012-03-22,2012-03-22 11:08:18,0,3,2a57d0bd91bdc4b9c73d9ca383d8969d.jpg,5.6,800,400,11:08:18
+1.0,2012-04-12,2012-04-12 12:32:23,0,3,77cae0757c15252524e2500ec9adfdc9.jpg,5.6,800,400,12:32:23
+1.0,2013-01-28,2013-01-28 12:41:34,1,1,8f50661927d8855cb1a7baeb17421a50.jpg,5.6,800,100,12:41:34
+1.0,2013-02-26,2013-02-26 12:07:59,1,1,20c32cc1c164d9b9184b6a2f50d6e6e4.jpg,5.6,800,160,12:07:59
+1.0,2012-04-03,2012-04-03 11:12:39,0,3,eb0c260dec2ce1800eb97efa159723b0.jpg,5.6,800,400,11:12:39
+1.0,2013-01-28,2013-01-28 12:34:37,1,1,6c89154854f9744a3e34058f15c1d89e.jpg,5.6,800,100,12:34:37
+1.0,2012-04-03,2012-04-03 09:39:29,0,3,e40c9645ed2ae81b0aed5dfe4c95391c.jpg,5.6,800,400,09:39:29
+1.0,2013-01-29,2013-01-29 16:34:19,1,1,7ec36be5a0fbe5d67da5d6cb6ee28b54.jpg,5.6,800,640,16:34:19
+1.0,2013-02-13,2013-02-13 12:09:04,1,1,6fde7296d8ba6e4e65d14c42ee9e7a74.jpg,5.6,800,100,12:09:04
+1.0,2012-04-03,2012-04-03 09:38:03,0,3,092d6b83f45bd7b431b2fa1632251ee8.jpg,5.6,800,400,09:38:03
+1.0,2012-03-13,2012-03-13 11:12:20,0,3,dc5cb036e3c6bc66772637490fbe76c0.jpg,5.6,800,400,11:12:20
+1.0,2013-01-29,2013-01-29 16:25:58,1,1,5a9788b6d3a0f888090a02e8d300b9a9.jpg,5.6,800,320,16:25:58
+1.0,2013-02-19,2013-02-19 16:31:45,1,1,d0c0b44917ba1c40bd90d9e0602aa125.jpg,5.6,800,320,16:31:45
+1.0,2012-03-20,2012-03-20 15:24:32,0,3,ad1e0b1b0d62dbcfcacc45a795c5324e.jpg,5.6,800,400,15:24:32
+1.0,2013-01-29,2013-01-29 16:23:56,1,1,70bbb505a5004e534a2b03e0dd3a0a33.jpg,5.6,800,640,16:23:56
+1.0,2012-04-03,2012-04-03 11:05:02,0,3,3b4fa3fddb5ed995f03a9e16ba0bfce3.jpg,5.6,800,400,11:05:02
+1.0,2012-03-08,2012-03-08 10:43:49,0,3,394f3fd10728f8bb327ab249997ed74a.jpg,5.6,800,400,10:43:49
+1.0,2013-02-19,2013-02-19 16:26:09,1,1,3077e0011a6c0fabb38d806863498b73.jpg,5.6,800,320,16:26:09
+1.0,2012-03-22,2012-03-22 13:57:44,0,3,94a10dcbbd5e0e40d92541355dbc1112.jpg,5.6,800,400,13:57:44
+1.0,2012-03-08,2012-03-08 14:56:39,0,3,40727725e7aef5b940c7c64b436a9652.jpg,5.6,800,400,14:56:39
+1.0,2013-02-26,2013-02-26 12:08:12,1,1,fdfc38c54da4ceda035288a7fabbb0f0.jpg,5.6,800,200,12:08:12
+1.0,2013-02-13,2013-02-13 13:16:17,1,1,94f4d6b1d13a4bac4a0d75dee1f3c815.jpg,5.6,800,100,13:16:17
+1.0,2012-03-20,2012-03-20 13:58:04,0,3,128bc5bf5d497abf4550fa6e92b40afa.jpg,5.6,800,400,13:58:04
+1.0,2013-02-26,2013-02-26 12:24:01,1,1,15d5867f64dad7d2de86e69203521607.jpg,5.6,800,200,12:24:01
+1.0,2012-04-03,2012-04-03 11:05:09,0,3,31e769a4759c71ea7e127ef44c677253.jpg,5.6,800,400,11:05:09
+1.0,2013-01-29,2013-01-29 16:31:38,1,1,bf6d51eef792775ae1d6e0025a346b3f.jpg,5.6,800,400,16:31:38
+1.0,2013-02-26,2013-02-26 12:23:30,1,1,a5530706d55570ae6bea522242b9427a.jpg,5.6,800,200,12:23:30
+1.0,2012-03-22,2012-03-22 11:06:52,0,3,07ae62f616b25b2b96b9c74e7c9eaf8a.jpg,5.6,800,400,11:06:52
+1.0,2013-02-19,2013-02-19 16:26:53,1,1,2ffa2e231eb03403478b45f64a3e285d.jpg,5.6,800,400,16:26:53
+1.0,2013-02-13,2013-02-13 12:48:53,1,1,3e32c61b648270f7fd4bce0186ec5521.jpg,5.6,800,100,12:48:53
+1.0,2012-03-20,2012-03-20 12:36:00,0,3,466193713b48950d1a5b658cad830f79.jpg,5.6,800,400,12:36:00
+1.0,2012-03-20,2012-03-20 13:56:31,0,3,3a2f4c18cd3e5f89cca597a0dce07882.jpg,5.6,800,400,13:56:31
+1.0,2012-03-20,2012-03-20 11:04:25,0,3,6f77f055d3150a2ca265f29d93152971.jpg,5.6,800,400,11:04:25
+1.0,2013-02-26,2013-02-26 12:44:17,1,1,e53606f2541caad061e0e2d8b67fa1bc.jpg,5.6,800,200,12:44:17
+1.0,2013-02-20,2013-02-20 12:02:41,1,1,cdc92dfbfbb9ded3af2410b2733e5d72.jpg,5.6,800,200,12:02:41
+1.0,2012-04-03,2012-04-03 11:05:08,0,3,ccc40fd7dfc90af1b33fbbb97d55c04f.jpg,5.6,800,400,11:05:08
+1.0,2012-03-13,2012-03-13 11:09:34,0,3,dc5190070c7b152d4fc78753519e25b1.jpg,5.6,800,400,11:09:34
+1.0,2013-01-28,2013-01-28 12:33:33,1,1,7afd652437eb0c2543319b8cff0a07f7.jpg,5.6,800,100,12:33:33
+1.0,2012-03-08,2012-03-08 10:43:46,0,3,50ca9a94a62671e2c33d68a8d96207a5.jpg,5.6,800,400,10:43:46
+1.0,2013-02-26,2013-02-26 12:04:49,1,1,39830567fee9b97f2a0ef9d90582447d.jpg,5.6,800,160,12:04:49
+1.0,2012-03-08,2012-03-08 10:46:07,0,3,0ac182d257051865d947b7cfcf163d55.jpg,5.6,800,400,10:46:07
+1.0,2012-03-20,2012-03-20 09:46:38,0,3,15ae6b7a9ca5638ae3b5619be4a5dc17.jpg,5.6,800,400,09:46:38
+1.0,2012-03-20,2012-03-20 12:32:47,0,3,d10baff9a06c9ed0827b96f0c6ae42be.jpg,5.6,800,400,12:32:47
+1.0,2012-04-26,2012-04-26 12:36:27,0,3,9526f3b2010ca57257b2bc3e7d1ab85f.jpg,5.6,800,400,12:36:27
+1.0,2012-04-03,2012-04-03 12:32:12,0,3,401cb4aee655862a9df8d861c96f341e.jpg,5.6,800,400,12:32:12
+1.0,2013-01-28,2013-01-28 12:39:08,1,1,dbd95c89a44f1bb9ca04c9f80dfd3cf8.jpg,5.6,800,100,12:39:08
+1.0,2013-02-19,2013-02-19 16:25:36,1,1,ffa1354c12fe27d92a492595ad2736d0.jpg,5.6,800,320,16:25:36
+1.0,2012-03-20,2012-03-20 12:32:01,0,3,5c5c9e5b93042ef6d7fcfe466fdff439.jpg,5.6,800,400,12:32:01
+1.0,2012-03-20,2012-03-20 11:09:29,0,3,cd53541d3f23a0d73bdecf9d59844d85.jpg,5.6,800,400,11:09:29
+1.0,2012-04-03,2012-04-03 11:12:37,0,3,162d359b96bc01506099d0bf0e5700c9.jpg,5.6,800,400,11:12:37
+1.0,2012-04-03,2012-04-03 11:09:12,0,3,991a8dfb94af1b7ebd83114408857e2a.jpg,5.6,800,400,11:09:12
+1.0,2013-01-28,2013-01-28 12:38:38,1,1,f78a80b58f2b559cb2c7d069fa3f6242.jpg,5.6,800,100,12:38:38
+1.0,2013-01-29,2013-01-29 16:31:27,1,1,6e3f3cf791d3b8ee7e5b1efd5684597a.jpg,5.6,800,320,16:31:27
+1.0,2013-01-29,2013-01-29 16:24:53,1,1,5b21e686dde7c0856f759bdcd60db9c8.jpg,5.6,800,640,16:24:53
+1.0,2013-01-28,2013-01-28 12:34:46,1,1,dbf34924c3b089d9e6194e01d128e6fa.jpg,5.6,800,100,12:34:46
+1.0,2012-03-13,2012-03-13 11:11:18,0,3,2d6fe2d6dd74ce45b4c81ae9a1fbb49b.jpg,5.6,800,400,11:11:18
+1.0,2013-02-26,2013-02-26 12:11:47,1,1,36b59c3064c6292865aa7ab97850b057.jpg,5.6,800,200,12:11:47
+1.0,2013-02-19,2013-02-19 16:18:42,1,1,ded9e2c439acd319ca497d09eac2808a.jpg,5.6,800,320,16:18:42
+1.0,2012-04-03,2012-04-03 11:08:32,0,3,5a687179916c6b328299364899ab5869.jpg,5.6,800,400,11:08:32
+1.0,2013-01-29,2013-01-29 12:16:30,1,1,cac81e395f90f33cb4b51f0932246190.jpg,5.6,800,100,12:16:30
+1.0,2012-03-20,2012-03-20 12:32:18,0,3,071e8001d78bedac32152c71559863f6.jpg,5.6,800,400,12:32:18
+1.0,2013-02-19,2013-02-19 16:16:23,1,1,70e90215061d6bd4709cfe29e3530636.jpg,5.6,800,250,16:16:23
+1.0,2013-02-19,2013-02-19 16:17:49,1,1,fe67a698c4720766ea19aadb424edfd3.jpg,5.6,800,320,16:17:49
+1.0,2013-02-20,2013-02-20 12:02:22,1,1,99a137806813147afbbb9f363c43a720.jpg,5.6,800,160,12:02:22
+1.0,2013-02-20,2013-02-20 12:17:51,1,1,4f7a52ae795b200fab4afe1d1fb54207.jpg,5.6,800,100,12:17:51
+1.0,2013-01-29,2013-01-29 16:22:45,1,1,eec4fb7636b263586fb244e1264aa45e.jpg,5.6,800,320,16:22:45
+1.0,2013-02-20,2013-02-20 12:20:12,1,1,50f6fbe5ef9dd09b6e219de52fed5ab5.jpg,5.6,800,100,12:20:12
+1.0,2012-04-03,2012-04-03 09:42:22,0,3,e534898817243db1f030b681e6f4e81f.jpg,5.6,800,400,09:42:22
+1.0,2013-02-19,2013-02-19 16:28:31,1,1,879d72b7c774035c6dbc304bbd5867d6.jpg,5.6,800,320,16:28:31
+1.0,2013-01-28,2013-01-28 12:42:00,1,1,c208c6f0cb824567e5ce7940fc6f97d3.jpg,5.6,800,100,12:42:00
+1.0,2013-02-19,2013-02-19 16:22:10,1,1,8d440caf531075c2fafd6426275a9540.jpg,5.6,800,320,16:22:10
+1.0,2012-04-26,2012-04-26 11:07:37,0,3,136f8e08bc87ca5ac07b31b87a80106a.jpg,5.6,800,400,11:07:37
+1.0,2013-01-28,2013-01-28 12:40:00,1,1,48a605a4705e851fa58a4d5880898eda.jpg,5.6,800,100,12:40:00
+1.0,2013-02-13,2013-02-13 12:34:55,1,1,e82c865e3c8f8886152dff9e69545a9c.jpg,5.6,800,100,12:34:55
+1.0,2013-01-29,2013-01-29 12:32:36,1,1,4c3b842229d4840398bfe09ef49d6146.jpg,5.6,800,100,12:32:36
+1.0,2013-01-29,2013-01-29 12:11:55,1,1,1f6501a7758fa0d4cc6e1b5231ed2ec2.jpg,5.6,800,100,12:11:55
+1.0,2013-01-29,2013-01-29 12:14:27,1,1,52472725a479f4244a97d040e1404bdc.jpg,5.6,800,100,12:14:27
+1.0,2012-03-20,2012-03-20 11:05:33,0,3,eb0369c6e828083e03454db61082fdd1.jpg,5.6,800,400,11:05:33
+1.0,2013-02-19,2013-02-19 16:22:46,1,1,cc424379742a0dd8168e291a28772ec1.jpg,5.6,800,320,16:22:46
+1.0,2012-04-03,2012-04-03 11:05:50,0,3,75cfc91e5e0b1c508160a68dcf413682.jpg,5.6,800,400,11:05:50
+1.0,2013-02-19,2013-02-19 16:28:16,1,1,cc419b6d5449fdb02770ec3837e9dc46.jpg,5.6,800,320,16:28:16
+1.0,2012-03-08,2012-03-08 14:54:47,0,3,246d6c103911285a5ebe6cd99db4b6a9.jpg,5.6,800,400,14:54:47
+1.0,2013-02-13,2013-02-13 12:12:49,1,1,d7597c4b4c2616759c558fe0f80c91cc.jpg,5.6,800,100,12:12:49
+1.0,2012-03-20,2012-03-20 09:43:47,0,3,2856a4536b64dfc99a84e5f7ff29e11b.jpg,5.6,800,400,09:43:47
+1.0,2012-03-22,2012-03-22 11:07:49,0,3,4f2be367677a3de4fe6ad94156d56533.jpg,5.6,800,400,11:07:49
+1.0,2013-02-20,2013-02-20 12:06:04,1,1,9b6b6606a11749e4b20653a3c0b05ffb.jpg,5.6,800,200,12:06:04
+1.0,2012-03-20,2012-03-20 12:32:48,0,3,afdf60c625e9ed87d35752bb750612d8.jpg,5.6,800,400,12:32:48
+1.0,2012-03-20,2012-03-20 11:05:30,0,3,15492071ea779cf3a775b0d0916344c6.jpg,5.6,800,400,11:05:30
+1.0,2012-04-03,2012-04-03 09:43:55,0,3,66537a427088d6d5ac433414248c82ac.jpg,5.6,800,400,09:43:55
+1.0,2012-03-20,2012-03-20 12:29:49,0,3,89d69f76f3eab40eb2e31db067ecee18.jpg,5.6,800,400,12:29:49
+1.0,2012-04-03,2012-04-03 09:37:54,0,3,27004eef93220872b18471f47bc8966c.jpg,5.6,800,400,09:37:54
+1.0,2013-02-20,2013-02-20 12:09:36,1,1,4eef53558ad5ab01b1e1c17a89920751.jpg,5.6,800,200,12:09:36
+1.0,2012-02-23,2012-02-23 14:54:43,0,3,cecc6208cc93c45108f74075615236c0.jpg,5.6,800,400,14:54:43
+1.0,2013-01-29,2013-01-29 12:34:00,1,1,ea0f7baf72fb7b0187c89007324484cc.jpg,5.6,800,100,12:34:00
+1.0,2012-04-03,2012-04-03 09:41:28,0,3,f8d8b26e4de045150051a11d8e94866d.jpg,5.6,800,400,09:41:28
+1.0,2013-02-19,2013-02-19 16:33:02,1,1,d01300cbe536fa31f19ea48ae72e4f17.jpg,5.6,800,400,16:33:02
+1.0,2012-03-08,2012-03-08 15:01:04,0,3,8bd48b6b4a71ab07d02d39fb7d8337ee.jpg,5.6,800,400,15:01:04
+1.0,2013-01-28,2013-01-28 12:42:24,1,1,cfbca0f539a84f19cfc90de37f956619.jpg,5.6,800,100,12:42:24
+1.0,2013-02-20,2013-02-20 12:11:00,1,1,e56120304292c48f9052c4aa8189c956.jpg,5.6,800,160,12:11:00
+1.0,2012-03-20,2012-03-20 12:34:33,0,3,9e6693fd0ad08c4f0abb59a1086873f9.jpg,5.6,800,400,12:34:33
+1.0,2013-02-26,2013-02-26 12:25:38,1,1,ca1b48b056feb10c5921bab369426e2d.jpg,5.6,800,200,12:25:38
+1.0,2012-03-13,2012-03-13 11:11:25,0,3,4ad555cf16491cb0bf23cb60c5cbd3f9.jpg,5.6,800,400,11:11:25
+1.0,2012-03-20,2012-03-20 15:23:17,0,3,7ba22cea9eb3b9ece8e662e47c779339.jpg,5.6,800,400,15:23:17
+1.0,2013-02-13,2013-02-13 12:14:32,1,1,8814d167e59bc0da89627b761e4e89bc.jpg,5.6,800,100,12:14:32
+1.0,2013-01-28,2013-01-28 12:40:55,1,1,67934292dc5088a632b02c9270331e9d.jpg,5.6,800,100,12:40:55
+1.0,2013-01-28,2013-01-28 12:36:09,1,1,4a6a8cf013b8d3f49a5cca34f2466d75.jpg,5.6,800,100,12:36:09
+1.0,2013-02-20,2013-02-20 12:22:10,1,1,a9620a221e7ec13ca844c080fe481ed0.jpg,5.6,800,100,12:22:10
+1.0,2012-03-20,2012-03-20 12:30:43,0,3,18ec15b89834614f91e6c14eb8e160c6.jpg,5.6,800,400,12:30:43
+1.0,2013-01-29,2013-01-29 16:31:36,1,1,e93555c9bf145c8b18431b0798068594.jpg,5.6,800,400,16:31:36
+1.0,2013-01-28,2013-01-28 12:40:51,1,1,e15231f1349f1ed302fffcccb0e85251.jpg,5.6,800,100,12:40:51
+1.0,2012-03-20,2012-03-20 13:59:37,0,3,bd03aa558dc1ce4a30c108bca639f0ba.jpg,5.6,800,400,13:59:37
+1.0,2013-02-13,2013-02-13 12:05:32,1,1,137bac61c2543c792bca31ee6e75355d.jpg,5.6,800,100,12:05:32
+1.0,2013-01-29,2013-01-29 16:27:17,1,1,42ae256047d8d4cfefe6ba5bd0851426.jpg,5.6,800,320,16:27:17
+1.0,2013-02-20,2013-02-20 12:24:18,1,1,e3b72f74a72a90e02f96789ec605baa1.jpg,5.6,800,100,12:24:18
+1.0,2012-04-03,2012-04-03 11:03:44,0,3,68d626191032ef9b452b846ef1f4298d.jpg,5.6,800,400,11:03:44
+1.0,2013-02-19,2013-02-19 16:14:49,1,1,d6b9b84faa963152eac532f6502efdb3.jpg,5.6,800,400,16:14:49
+1.0,2012-03-20,2012-03-20 15:22:52,0,3,80684ca6bb2672100ff88ad321e6cdba.jpg,5.6,800,400,15:22:52
+1.0,2012-04-03,2012-04-03 09:34:58,0,3,d8ff9cb016b2acebea986ce01162d1a6.jpg,5.6,800,400,09:34:58
+1.0,2012-04-03,2012-04-03 11:05:16,0,3,c878f9afb8c7c56aa3323b22b884ee65.jpg,5.6,800,400,11:05:16
+1.0,2012-03-22,2012-03-22 11:08:38,0,3,4c0ff8d1d8b532800a0f0db61e52e5c0.jpg,5.6,800,400,11:08:38
+1.0,2012-03-20,2012-03-20 12:34:27,0,3,c582cbb1b2b83f44f613544997660caf.jpg,5.6,800,400,12:34:27
+1.0,2012-03-13,2012-03-13 11:11:29,0,3,15d75efa4759ed964710e9ccbaa8295c.jpg,5.6,800,400,11:11:29
+1.0,2012-03-08,2012-03-08 12:10:53,0,3,e4bed32980745d49a71593f71b73b489.jpg,5.6,800,400,12:10:53
+1.0,2012-03-20,2012-03-20 09:46:26,0,3,5fd6e3261a7d5683700871dc4e2a26cb.jpg,5.6,800,400,09:46:26
+1.0,2012-03-20,2012-03-20 12:31:59,0,3,86476076a7c4dfc0a70457949bc882ea.jpg,5.6,800,400,12:31:59
+1.0,2012-04-03,2012-04-03 12:37:35,0,3,45819911a000bf731cb10396be978b1c.jpg,5.6,800,400,12:37:35
+1.0,2012-03-13,2012-03-13 11:11:26,0,3,ba30c56c4f9e5b9902613f6d7a0fc715.jpg,5.6,800,400,11:11:26
+1.0,2013-01-29,2013-01-29 12:31:04,1,1,83e7d0dbad60af77368a76a1905372d7.jpg,5.6,800,100,12:31:04
+1.0,2013-02-13,2013-02-13 12:05:14,1,1,33b8f4a57e0b73256adbc8661d941a96.jpg,5.6,800,100,12:05:14
+1.0,2013-02-20,2013-02-20 12:10:34,1,1,3ee39f8739a617335c32642531632036.jpg,5.6,800,160,12:10:34
+1.0,2013-02-20,2013-02-20 12:27:27,1,1,2eda20534a0c480a5496980ebcb5ad2b.jpg,5.6,800,100,12:27:27
+1.0,2013-01-29,2013-01-29 12:31:39,1,1,6d4070b61d0426469405a039113d933b.jpg,5.6,800,100,12:31:39
+1.0,2013-01-29,2013-01-29 16:26:46,1,1,d122ce028e0903e0721c93528ba27fe5.jpg,5.6,800,500,16:26:46
+1.0,2013-01-28,2013-01-28 12:38:56,1,1,c64ab016f6e333a907046f0c69f90235.jpg,5.6,800,100,12:38:56
+1.0,2012-02-23,2012-02-23 14:56:54,0,3,14786b72920aecbc69d4f4a74639de92.jpg,5.6,800,400,14:56:54
+1.0,2012-04-03,2012-04-03 11:08:42,0,3,da58a8c8fd77f24b7374aa958ca1a229.jpg,5.6,800,400,11:08:42
+1.0,2013-02-26,2013-02-26 12:26:26,1,1,7ad6bfcf9302254e8cd81e1237e7285b.jpg,5.6,800,200,12:26:26
+1.0,2012-04-03,2012-04-03 11:12:20,0,3,2d3fe8eb7badf76bb920f3d453a03825.jpg,5.6,800,400,11:12:20
+1.0,2013-02-13,2013-02-13 12:52:56,1,1,a77bb65464eec88ce3de8ad01d5b703a.jpg,5.6,800,100,12:52:56
+1.0,2012-04-03,2012-04-03 11:09:07,0,3,780c697d3efcaee91ddec1bf237bbda2.jpg,5.6,800,400,11:09:07
+1.0,2012-04-03,2012-04-03 11:08:44,0,3,2ab3292bd0cf91d9e57c3163b1d97139.jpg,5.6,800,400,11:08:44
+1.0,2013-01-28,2013-01-28 12:41:41,1,1,8bce8856866c10cdf250104faa4850ab.jpg,5.6,800,100,12:41:41
+1.0,2012-03-20,2012-03-20 11:08:45,0,3,12fb1853cbaffb6d4843af7dba7751ec.jpg,5.6,800,400,11:08:45
+1.0,2013-01-29,2013-01-29 16:23:12,1,1,36a8d2509ff9be4fdcafefaf7a7be426.jpg,5.6,800,200,16:23:12
+1.0,2013-02-13,2013-02-13 12:52:53,1,1,9b9d6ca41a0b2c5b3b71286186b930fe.jpg,5.6,800,100,12:52:53
+1.0,2012-04-03,2012-04-03 09:43:23,0,3,56dacfae2e0ad22424656849790379f4.jpg,5.6,800,400,09:43:23
+1.0,2012-03-20,2012-03-20 15:24:11,0,3,fa77f9d4dbf2512dc6e98cb27394eda1.jpg,5.6,800,400,15:24:11
+1.0,2013-01-29,2013-01-29 16:22:52,1,1,82e4cffe7c5e413b19c7e80f5afdd279.jpg,5.6,800,250,16:22:52
+1.0,2012-03-22,2012-03-22 11:08:30,0,3,e83a661af53ee2bb01bdaa9a7ef7f6fb.jpg,5.6,800,400,11:08:30
+1.0,2012-04-03,2012-04-03 09:45:05,0,3,9e2e6b9af62d5cc6f575cf884b7cb512.jpg,5.6,800,400,09:45:05
+1.0,2012-04-03,2012-04-03 11:09:33,0,3,d49425dece03bb4b829efb6fb8d2ad0f.jpg,5.6,800,400,11:09:33
+1.0,2012-03-06,2012-03-06 13:29:45,0,3,f0edff2753163e4e04d2d763c5401936.jpg,5.6,800,400,13:29:45
+1.0,2013-02-20,2013-02-20 12:07:33,1,1,7987b4bbc9deffff8ba9857cfc1cf215.jpg,5.6,800,200,12:07:33
+1.0,2013-02-13,2013-02-13 12:23:50,1,1,7a0f501e14747a5f52fe834fe01026c2.jpg,5.6,800,100,12:23:50
+1.0,2013-02-13,2013-02-13 12:32:53,1,1,bfdbdb6bec0f79c82a92572b3aff2aa3.jpg,5.6,800,100,12:32:53
+1.0,2013-01-28,2013-01-28 12:34:48,1,1,da2316326df0bc96e97119547997321a.jpg,5.6,800,100,12:34:48
+1.0,2012-03-20,2012-03-20 12:30:00,0,3,7bb0be58f2b04ae971010fa028b878b7.jpg,5.6,800,400,12:30:00
+1.0,2012-03-22,2012-03-22 11:06:36,0,3,72fad23fa1304c5f22846c486086499d.jpg,5.6,800,400,11:06:36
+1.0,2013-01-29,2013-01-29 16:24:48,1,1,f7cb45ba45cf48b0761037271f69e263.jpg,5.6,800,500,16:24:48
+1.0,2012-04-03,2012-04-03 09:44:55,0,3,4b95a2c5f848e84b2b0960c79b96ee2c.jpg,5.6,800,400,09:44:55
+1.0,2012-03-20,2012-03-20 09:44:57,0,3,bd2fba06fc120bcf616ee8716d69c26c.jpg,5.6,800,400,09:44:57
+1.0,2012-03-22,2012-03-22 11:04:51,0,3,c62f721972c9033f74d419cf9f35e2dd.jpg,5.6,800,400,11:04:51
+1.0,2013-02-19,2013-02-19 16:17:42,1,1,bee22f7b40aef5f31d40ca2200d12ad6.jpg,5.6,800,320,16:17:42
+1.0,2013-02-19,2013-02-19 16:17:16,1,1,18477db38aad693c5f88c9ba40437486.jpg,5.6,800,320,16:17:16
+1.0,2013-01-28,2013-01-28 12:38:29,1,1,f886e945f707f726fa671080f756f024.jpg,5.6,800,100,12:38:29
+1.0,2013-01-29,2013-01-29 12:16:58,1,1,bb868588f227c73ca03fa7d825f9c779.jpg,5.6,800,100,12:16:58
+1.0,2012-03-20,2012-03-20 12:30:44,0,3,a68b2cd1bf529e4fd50746df501429b9.jpg,5.6,800,400,12:30:44
+1.0,2013-01-28,2013-01-28 12:33:59,1,1,3457df89a3ad23884cff50ec0e0c3efa.jpg,5.6,800,100,12:33:59
+1.0,2013-02-13,2013-02-13 13:26:02,1,1,2019c6536c03e2d02b87b58bd1c22f27.jpg,5.6,800,100,13:26:02
+1.0,2013-01-29,2013-01-29 16:34:16,1,1,6d401c036ff2c31e9ea4e6957ade2702.jpg,5.6,800,500,16:34:16
+1.0,2012-04-03,2012-04-03 09:35:39,0,3,1c291a8bd25f7fee7007bdff2630295b.jpg,5.6,800,400,09:35:39
+1.0,2013-01-29,2013-01-29 12:19:27,1,1,b6f5f484bc7e599a03f68a7d72fb5fe7.jpg,5.6,800,100,12:19:27
+1.0,2013-02-19,2013-02-19 16:29:11,1,1,16c32041ceae667a1e017c11ecfd70bc.jpg,5.6,800,320,16:29:11
+1.0,2013-02-20,2013-02-20 12:05:10,1,1,318db82682408c0b89e7637800ffde4d.jpg,5.6,800,160,12:05:10
+1.0,2012-03-13,2012-03-13 11:09:04,0,3,96ce611e570155389f2f5631312c823f.jpg,5.6,800,400,11:09:04
+1.0,2012-03-22,2012-03-22 11:06:30,0,3,e3c7adb523436f1637c4b03648775c27.jpg,5.6,800,400,11:06:30
+1.0,2013-02-20,2013-02-20 12:36:28,1,1,dc70dd639b4b9e12fa953b6c3ad86a9a.jpg,5.6,800,100,12:36:28
+1.0,2012-04-03,2012-04-03 09:40:58,0,3,eb9f163503c7ade3a9f9905c2c02972b.jpg,5.6,800,400,09:40:58
+1.0,2013-02-13,2013-02-13 13:24:20,1,1,c409cbe11877e69ebda805c682414e66.jpg,5.6,800,100,13:24:20
+1.0,2012-03-08,2012-03-08 10:48:14,0,3,d66ba297a22afd6c3bd84b17d3891783.jpg,5.6,800,400,10:48:14
+1.0,2013-01-29,2013-01-29 16:26:09,1,1,348c699a1c26843792fefbf241b9ac23.jpg,5.6,800,400,16:26:09
+1.0,2012-04-03,2012-04-03 09:44:02,0,3,411c9f14f2139c13360a8f505924a86d.jpg,5.6,800,400,09:44:02
+1.0,2013-02-26,2013-02-26 12:05:13,1,1,481926a8003b7d03ae650f69aa571737.jpg,5.6,800,160,12:05:13
+1.0,2012-04-03,2012-04-03 11:05:54,0,3,49854e5ae7a56564031fdf706ef7680a.jpg,5.6,800,400,11:05:54
+1.0,2012-03-20,2012-03-20 11:06:36,0,3,8af0c5d8c228c976478ffd44281f636e.jpg,5.6,800,400,11:06:36
+1.0,2013-01-29,2013-01-29 12:20:02,1,1,4ac6cd56e08bcb6a96560ef7a427fbba.jpg,5.6,800,100,12:20:02
+1.0,2013-01-29,2013-01-29 16:32:26,1,1,c12b8a934d3377a4efe3ac56cc1974c7.jpg,5.6,800,640,16:32:26
+1.0,2013-02-13,2013-02-13 13:30:51,1,1,43c54499dc324e75854a56449c059115.jpg,5.6,800,100,13:30:51
+1.0,2013-01-29,2013-01-29 16:25:43,1,1,90e5af80091ba3b301d1e22670c76e1a.jpg,5.6,800,320,16:25:43
+1.0,2012-03-22,2012-03-22 11:07:43,0,3,59cea3ffb3695157df8166aee9da0438.jpg,5.6,800,400,11:07:43
+1.0,2012-03-20,2012-03-20 09:43:39,0,3,bafd1bc29f7d9b8f8eb2511fccf7b9d4.jpg,5.6,800,400,09:43:39
+1.0,2013-01-28,2013-01-28 12:42:00,1,1,59baebf2cccfaf5e5e92a37185520b36.jpg,5.6,800,100,12:42:00
+1.0,2012-03-08,2012-03-08 12:10:10,0,3,7d4c3463ca575c62242aca66c8f308a4.jpg,5.6,800,400,12:10:10
+1.0,2013-01-29,2013-01-29 12:31:13,1,1,c11fd6c4ad30fb08204276df632ba1a8.jpg,5.6,800,100,12:31:13
+1.0,2013-01-29,2013-01-29 16:34:20,1,1,8d8213a6b381fc8eef262c93dd7320f8.jpg,5.6,800,500,16:34:20
+1.0,2013-01-29,2013-01-29 12:07:53,1,1,62ff2c3053fea0955783b90006f5cb78.jpg,5.6,800,100,12:07:53
+1.0,2012-04-03,2012-04-03 11:06:31,0,3,f0951395949f169e17eeaf389e7ae3b2.jpg,5.6,800,400,11:06:31
+1.0,2013-01-28,2013-01-28 12:35:33,1,1,693d9903261ba34c6e422c241b972004.jpg,5.6,800,100,12:35:33
+1.0,2012-04-03,2012-04-03 09:44:19,0,3,ed2dbc722e6070fd0d99927d709bbfbf.jpg,5.6,800,400,09:44:19
+1.0,2013-02-20,2013-02-20 12:25:47,1,1,0d5aaca7e0e2256769bcffeafba0f206.jpg,5.6,800,100,12:25:47
+1.0,2012-03-13,2012-03-13 11:11:12,0,3,e254695596bf85b7a76ed7585fe3cf99.jpg,5.6,800,400,11:11:12
+1.0,2013-02-13,2013-02-13 13:08:14,1,1,473a8cb12617fb032d5fe8659476130a.jpg,5.6,800,100,13:08:14
+1.0,2012-04-17,2012-04-17 12:27:45,0,3,32b59c04776d7695da2348c4d0376e88.jpg,5.6,800,400,12:27:45
+1.0,2013-02-13,2013-02-13 13:27:14,1,1,33ee861a8ebf87d8c9cf339c96ffba00.jpg,5.6,800,100,13:27:14
+1.0,2013-02-20,2013-02-20 12:22:33,1,1,2e56e71b76b0c8a54cf0251ce92c486c.jpg,5.6,800,100,12:22:33
+1.0,2013-02-26,2013-02-26 12:04:23,1,1,d8b98450da17a3cac6a3a72c04dc4f7f.jpg,5.6,800,160,12:04:23
+1.0,2013-02-13,2013-02-13 13:06:28,1,1,fd806c65b538f19211e5cf140b448225.jpg,5.6,800,100,13:06:28
+1.0,2013-02-19,2013-02-19 16:26:33,1,1,b82d8e472790c61c9f00d4292a9c1396.jpg,5.6,800,500,16:26:33
+1.0,2013-01-29,2013-01-29 16:24:03,1,1,8940cff746558a3df5a2f8b93f08fcc6.jpg,5.6,800,640,16:24:03
+1.0,2013-02-26,2013-02-26 12:05:22,1,1,4cdfd641e65e48fbc1cb2684d82f65ae.jpg,5.6,800,160,12:05:22
+1.0,2013-01-29,2013-01-29 12:08:00,1,1,7d0b50b2fa5f1cdc38d38bc6bbd38f17.jpg,5.6,800,100,12:08:00
+1.0,2013-01-28,2013-01-28 12:38:08,1,1,12a2e96d322bc307e1a7f7c6be967a29.jpg,5.6,800,100,12:38:08
+1.0,2013-01-29,2013-01-29 16:27:53,1,1,3a499a26736b8a03837349e92923671f.jpg,5.6,800,400,16:27:53
+1.0,2013-02-20,2013-02-20 12:44:48,1,1,79cdac95a23af225299f34c72196fc7b.jpg,5.6,800,100,12:44:48
+1.0,2012-03-20,2012-03-20 12:34:39,0,3,8ec7cdece4c83cedee8375899c5a4386.jpg,5.6,800,400,12:34:39
+1.0,2012-04-24,2012-04-24 09:37:29,0,3,288e23e7b880045430f737f0ca49777c.jpg,5.6,800,400,09:37:29
+1.0,2013-02-26,2013-02-26 12:17:44,1,1,ecec51ecd2a780c7b9db7db1b43fc7d6.jpg,5.6,800,200,12:17:44
+1.0,2013-01-28,2013-01-28 12:34:18,1,1,56173fb42c5ca96ed342f39a038b2eb9.jpg,5.6,800,100,12:34:18
+1.0,2012-03-20,2012-03-20 15:24:21,0,3,8d1c4fbf8523a73e73329ab49f350177.jpg,5.6,800,400,15:24:21
+1.0,2012-03-20,2012-03-20 11:05:42,0,3,2dde0c80c97ee4bd302c46653916994f.jpg,5.6,800,400,11:05:42
+1.0,2012-04-03,2012-04-03 11:11:48,0,3,e56a58599d85d93f75fd5da0c7c1655d.jpg,5.6,800,400,11:11:48
+1.0,2013-01-29,2013-01-29 16:25:23,1,1,ac3df92e43518172f774d6db327e2343.jpg,5.6,800,400,16:25:23
+1.0,2012-03-06,2012-03-06 13:29:20,0,3,892c8807cee4eda154728990fd80f001.jpg,5.6,800,400,13:29:20
+1.0,2013-01-29,2013-01-29 16:33:43,1,1,907016870cbf9643fe8df1ae7468399a.jpg,5.6,800,640,16:33:43
+1.0,2012-04-03,2012-04-03 11:03:43,0,3,be7237dd01bd1cb92959311f37c47388.jpg,5.6,800,400,11:03:43
+1.0,2013-02-20,2013-02-20 12:06:26,1,1,0aeb3f5fdce54fe59204f7774852c495.jpg,5.6,800,160,12:06:26
+1.0,2013-02-13,2013-02-13 12:54:55,1,1,edaec9acaf26104be84c5635a2cf7808.jpg,5.6,800,100,12:54:55
+1.0,2012-04-24,2012-04-24 09:42:10,0,3,4ba3d590f98a60725bd0c33d77fd3c76.jpg,5.6,800,400,09:42:10
+1.0,2012-03-20,2012-03-20 11:08:43,0,3,2028e1d93ee5a9ebc31b19eeebf4b53c.jpg,5.6,800,400,11:08:43
+1.0,2013-02-26,2013-02-26 12:06:53,1,1,e1c8a19078f379d5c66944c68528ad8c.jpg,5.6,800,160,12:06:53
+1.0,2012-04-03,2012-04-03 11:05:06,0,3,1c6e75e429a90ebe6bf8155ab694a0e9.jpg,5.6,800,400,11:05:06
+1.0,2013-02-13,2013-02-13 13:19:42,1,1,a9f658d7721057d6f175d3a42d0715c4.jpg,5.6,800,100,13:19:42
+1.0,2012-04-03,2012-04-03 09:36:08,0,3,4e8294c9d7465e04dd427ddca90b0632.jpg,5.6,800,400,09:36:08
+1.0,2013-02-20,2013-02-20 12:44:12,1,1,8b903c6e630bab9c1f7eb3867720868e.jpg,5.6,800,100,12:44:12
+1.0,2012-03-20,2012-03-20 13:58:37,0,3,9b3350f4fda6139dd2f23feff328e5f8.jpg,5.6,800,400,13:58:37
+1.0,2013-01-28,2013-01-28 12:41:35,1,1,3ebe24d763819d33579f9ef43bc71beb.jpg,5.6,800,100,12:41:35
+1.0,2013-02-26,2013-02-26 12:25:38,1,1,5861f1a557705d7793334cbdb2918f6d.jpg,5.6,800,200,12:25:38
+1.0,2013-02-19,2013-02-19 16:17:12,1,1,c7817d67d583212b2a0817df9dd11522.jpg,5.6,800,320,16:17:12
+1.0,2012-04-03,2012-04-03 09:36:59,0,3,8bdb2157b8264fc1db42c6cd0da47cfa.jpg,5.6,800,400,09:36:59
+1.0,2013-01-29,2013-01-29 12:16:50,1,1,427a662ebe4df8c9553977379a1d3ea1.jpg,5.6,800,100,12:16:50
+1.0,2012-03-06,2012-03-06 13:30:05,0,3,b0d50a23b7a3691570e76d349ab291c6.jpg,5.6,800,400,13:30:05
+1.0,2013-02-19,2013-02-19 16:26:27,1,1,be926961937bba3322df76d64e6054da.jpg,5.6,800,320,16:26:27
+1.0,2013-02-20,2013-02-20 12:24:47,1,1,7c58a808163813ee3470a772e82ecd50.jpg,5.6,800,100,12:24:47
+1.0,2012-03-20,2012-03-20 12:36:23,0,3,a4b9a5ad9bf21728a82c9654922113ee.jpg,5.6,800,400,12:36:23
+1.0,2013-02-19,2013-02-19 16:33:48,1,1,198fa978315e8f0d8997ca20c3c92d11.jpg,5.6,800,320,16:33:48
+1.0,2013-02-19,2013-02-19 16:18:13,1,1,57da141d11225bada8064f2789011bf3.jpg,5.6,800,320,16:18:13
+1.0,2013-02-26,2013-02-26 12:15:16,1,1,6e8351769e931ca52f18189c73d7028e.jpg,5.6,800,200,12:15:16
+1.0,2012-03-22,2012-03-22 11:04:04,0,3,a5bb3a54889c476bf807f0d16369e17f.jpg,5.6,800,400,11:04:04
+1.0,2013-01-29,2013-01-29 12:27:43,1,1,18aa1e0df74f977b2a704348e904a79d.jpg,5.6,800,100,12:27:43
+1.0,2013-02-26,2013-02-26 12:24:10,1,1,b84da7a5c24e734fc0c78e1ce2b831fa.jpg,5.6,800,200,12:24:10
+1.0,2013-01-28,2013-01-28 12:33:01,1,1,6c94233db0be36356a628af7ea1a8d97.jpg,5.6,800,100,12:33:01
+1.0,2013-01-29,2013-01-29 16:28:42,1,1,6c7b8a44a13dab7735dbbc324f99f464.jpg,5.6,800,250,16:28:42
+1.0,2012-03-20,2012-03-20 13:55:51,0,3,4cbb618a3de59e0e09741c3ac4d138ac.jpg,5.6,800,400,13:55:51
+1.0,2012-04-03,2012-04-03 09:43:44,0,3,f42a33323cf046508b9f3f886f5ad487.jpg,5.6,800,400,09:43:44
+1.0,2013-01-29,2013-01-29 16:21:27,1,1,61c3bfe1fe0690b7adee2f203796dcdd.jpg,5.6,800,320,16:21:27
+1.0,2012-03-08,2012-03-08 14:55:41,0,3,0e6027ac5c9181a53559a25fd5ebbf66.jpg,5.6,800,400,14:55:41
+1.0,2012-03-20,2012-03-20 15:22:21,0,3,a370894d6d861f0d3ba78cbcfc8fe03d.jpg,5.6,800,400,15:22:21
+1.0,2013-02-19,2013-02-19 16:22:47,1,1,394dc2bc4473833b9120f1095af06860.jpg,5.6,800,320,16:22:47
+1.0,2012-04-03,2012-04-03 11:11:58,0,3,0e823f4fdf40b624b011e73550588e4e.jpg,5.6,800,400,11:11:58
+1.0,2012-03-22,2012-03-22 13:58:02,0,3,b6209207ff6f8568d1a294dfee97080d.jpg,5.6,800,400,13:58:02
+1.0,2012-03-06,2012-03-06 13:29:35,0,3,f4ca5fafaae51dec64a28a7d64c74b71.jpg,5.6,800,400,13:29:35
+1.0,2012-04-03,2012-04-03 11:05:06,0,3,cfcfa147f3c6ba763dd9ec1b936d8327.jpg,5.6,800,400,11:05:06
+1.0,2012-03-06,2012-03-06 13:28:06,0,3,8d8a571000834b872f877c4d5ea63fe5.jpg,5.6,800,400,13:28:06
+1.0,2013-02-19,2013-02-19 16:30:24,1,1,341a77e8d68081784109d47f20a9ca47.jpg,5.6,800,320,16:30:24
+1.0,2012-04-03,2012-04-03 09:36:53,0,3,6ec98f2cc1b3789d714ee271a81575cc.jpg,5.6,800,400,09:36:53
+1.0,2012-04-03,2012-04-03 09:41:24,0,3,68c6d24f33b37f37a0421484ab4fd3f4.jpg,5.6,800,400,09:41:24
+1.0,2013-01-29,2013-01-29 16:26:08,1,1,ab99788e0f9b065061edbc68be912c8b.jpg,5.6,800,320,16:26:08
+1.0,2012-03-20,2012-03-20 09:44:57,0,3,483411d76abf23884edb9e5014f6d56a.jpg,5.6,800,400,09:44:57
+1.0,2013-01-28,2013-01-28 12:35:36,1,1,01fcea553655d60bab67366fc6b764aa.jpg,5.6,800,100,12:35:36
+1.0,2012-03-20,2012-03-20 15:24:27,0,3,940e3a083916cdce1e425e2cb9a4f0a6.jpg,5.6,800,400,15:24:27
+1.0,2013-01-28,2013-01-28 12:38:21,1,1,36d1358c9d6b8266effcd83ecbea6c6b.jpg,5.6,800,100,12:38:21
+1.0,2013-01-28,2013-01-28 12:42:35,1,1,3fc32003b21ba64b8a5767bfc6af2312.jpg,5.6,800,100,12:42:35
+1.0,2012-03-08,2012-03-08 12:10:18,0,3,90cf0c3fcf08988dce1b69a17a730328.jpg,5.6,800,400,12:10:18
+1.0,2012-03-20,2012-03-20 11:04:10,0,3,db1d8c2eb0fd5b2a809ca22618f5b2c2.jpg,5.6,800,400,11:04:10
+1.0,2012-03-08,2012-03-08 14:55:43,0,3,58600931c71f6d21c26630ec4c73fd62.jpg,5.6,800,400,14:55:43
+1.0,2013-02-19,2013-02-19 16:30:44,1,1,cfd5ad3e5893e9dad3072f5909bbd228.jpg,5.6,800,320,16:30:44
+1.0,2012-03-08,2012-03-08 10:47:33,0,3,1a867c3f034e6a8b3a15379666b49cac.jpg,5.6,800,400,10:47:33
+1.0,2013-02-19,2013-02-19 16:17:43,1,1,3d7103275475288252ec4fa1552b7450.jpg,5.6,800,320,16:17:43
+1.0,2012-04-03,2012-04-03 11:12:55,0,3,eb9df01595ea7a2f8cb21f78591f2a12.jpg,5.6,800,400,11:12:55
+1.0,2013-01-29,2013-01-29 12:08:08,1,1,939e4000208ee7e38ce9171534c19fde.jpg,5.6,800,100,12:08:08
+1.0,2012-03-22,2012-03-22 11:07:06,0,3,35dcb8406ca126979dd21529b813ac90.jpg,5.6,800,400,11:07:06
+1.0,2012-03-20,2012-03-20 12:32:48,0,3,80f563a1374efe06f7b05d3b6bf50487.jpg,5.6,800,400,12:32:48
+1.0,2013-01-28,2013-01-28 12:36:22,1,1,615dd0d5456026b483f07335484c8077.jpg,5.6,800,100,12:36:22
+1.0,2012-03-20,2012-03-20 12:32:22,0,3,4fdf5124a2fa236fdd551c8ae114c76b.jpg,5.6,800,400,12:32:22
+1.0,2012-04-03,2012-04-03 11:08:15,0,3,06f78ea77a012767352af48178891961.jpg,5.6,800,400,11:08:15
+1.0,2013-01-28,2013-01-28 12:40:04,1,1,3177541c050cf22f3ed989508bbff6e6.jpg,5.6,800,100,12:40:04
+1.0,2013-02-13,2013-02-13 13:00:11,1,1,1b1bf936bc418f36dcc7633170b420b0.jpg,5.6,800,100,13:00:11
+1.0,2012-04-03,2012-04-03 11:08:17,0,3,fe71c235e0f47276e222c89088f02b0f.jpg,5.6,800,400,11:08:17
+1.0,2013-01-29,2013-01-29 16:33:26,1,1,f4d1f3ae14d9b81fcaa0a7d9e5f9acca.jpg,5.6,800,320,16:33:26
+1.0,2013-02-19,2013-02-19 16:27:03,1,1,c3c5c4d6fb98baaa4f26e02d0157697f.jpg,5.6,800,320,16:27:03
+1.0,2012-04-03,2012-04-03 11:09:06,0,3,752f51763e6690bec9dd307ae1ce0f0c.jpg,5.6,800,400,11:09:06
+1.0,2013-02-19,2013-02-19 16:31:49,1,1,89d898157e4bfefeb39c1ff9f03d2eee.jpg,5.6,800,320,16:31:49
+1.0,2012-03-08,2012-03-08 14:53:41,0,3,c63325ec7d8ab1c0706da9af73dec497.jpg,5.6,800,400,14:53:41
+1.0,2013-01-28,2013-01-28 12:37:21,1,1,cdc56045fbe93e3d4efcd5df77bf1457.jpg,5.6,800,100,12:37:21
+1.0,2013-01-29,2013-01-29 12:20:57,1,1,b4cbd4e89d012e2a0f8256be76d6aee3.jpg,5.6,800,100,12:20:57
+1.0,2013-02-13,2013-02-13 12:20:39,1,1,fe6196aded78e08dc0c9c34bca28e269.jpg,5.6,800,100,12:20:39
+1.0,2013-02-13,2013-02-13 12:47:03,1,1,c62668e12e492e7e5e606ca0673c3c59.jpg,5.6,800,100,12:47:03
+1.0,2012-03-20,2012-03-20 09:46:44,0,3,ac3aee4b287249f276d8b6fefd27b800.jpg,5.6,800,400,09:46:44
+1.0,2013-01-29,2013-01-29 12:10:15,1,1,83e332965a665604a4108c9d8f7a6828.jpg,5.6,800,100,12:10:15
+1.0,2012-03-20,2012-03-20 13:56:25,0,3,d9d82814200bf3a0fcc6c498e68323d8.jpg,5.6,800,400,13:56:25
+1.0,2012-03-06,2012-03-06 13:27:43,0,3,74293c85fe71124abccbbc6df07433eb.jpg,5.6,800,400,13:27:43
+1.0,2012-03-20,2012-03-20 09:39:58,0,3,f354fa159e30b2abb9f87d10b5f1fd5a.jpg,5.6,800,400,09:39:58
+1.0,2013-02-20,2013-02-20 12:12:09,1,1,c52568d1e2e11253e57de48fc7c120a4.jpg,5.6,800,160,12:12:09
+1.0,2012-03-08,2012-03-08 10:47:15,0,3,203ed17165104944e52bf3edeff9548f.jpg,5.6,800,400,10:47:15
+1.0,2013-02-26,2013-02-26 12:08:39,1,1,824254eb284e9791f93c6581ca27fa33.jpg,5.6,800,200,12:08:39
+1.0,2013-01-29,2013-01-29 12:07:57,1,1,4bd2fc426b7b4abc30d97ab281dc798f.jpg,5.6,800,100,12:07:57
+1.0,2013-02-13,2013-02-13 12:32:26,1,1,a7c80e461c9d3384ce362e4d61885139.jpg,5.6,800,100,12:32:26
+1.0,2013-01-29,2013-01-29 12:07:43,1,1,550c011da1d0056fb43ef74ed4d24467.jpg,5.6,800,100,12:07:43
+1.0,2012-03-20,2012-03-20 12:29:59,0,3,08045e6bdc0886afc50129a9453118c8.jpg,5.6,800,400,12:29:59
+1.0,2013-02-19,2013-02-19 16:14:30,1,1,ba2237d3ee65ac196eb8c5841d8d946e.jpg,5.6,800,320,16:14:30
+1.0,2013-02-26,2013-02-26 12:10:46,1,1,55627f78c5b38de3cbc24a692ac7724a.jpg,5.6,800,200,12:10:46
+1.0,2013-01-29,2013-01-29 16:31:28,1,1,601dca52cfe1a43feca65a550c3be0e5.jpg,5.6,800,320,16:31:28
+1.0,2012-04-03,2012-04-03 12:31:42,0,3,71e3a4f8f3dc0a948072b19365c9fdc0.jpg,5.6,800,400,12:31:42
+1.0,2012-03-20,2012-03-20 09:46:03,0,3,5e7e346d82bd8f880ac63926cc0a0139.jpg,5.6,800,400,09:46:03
+1.0,2013-02-13,2013-02-13 12:13:49,1,1,3e188a74f981f2555d778ec8a007e9ae.jpg,5.6,800,100,12:13:49
+1.0,2012-04-03,2012-04-03 09:42:31,0,3,03b73f82ba7f428c1e5769b30770c466.jpg,5.6,800,400,09:42:31
+1.0,2013-01-28,2013-01-28 12:34:19,1,1,9dee53b1d8ed1f7de081a0c68bc3f035.jpg,5.6,800,100,12:34:19
+1.0,2013-01-29,2013-01-29 12:33:55,1,1,4100399a1c2b1a445b9e7a14900f36e7.jpg,5.6,800,100,12:33:55
+1.0,2013-01-29,2013-01-29 12:10:30,1,1,3ef61826726626ef5b74dce27dcffff7.jpg,5.6,800,100,12:10:30
+1.0,2013-01-29,2013-01-29 16:21:14,1,1,5400066f0594c5d533b54dc952678895.jpg,5.6,800,200,16:21:14
+1.0,2013-02-20,2013-02-20 12:25:17,1,1,2889feb23768fc6e50345dc266c38aa4.jpg,5.6,800,100,12:25:17
+1.0,2012-04-03,2012-04-03 11:05:31,0,3,04b696d651e9ce47d104036cb6715719.jpg,5.6,800,400,11:05:31
+1.0,2012-04-03,2012-04-03 09:36:21,0,3,7842e15686d0a204569210b4a148c303.jpg,5.6,800,400,09:36:21
+1.0,2013-02-19,2013-02-19 16:33:37,1,1,da47f7af603ac7e65b0bf1a6feca484f.jpg,5.6,800,400,16:33:37
+1.0,2013-02-20,2013-02-20 12:14:08,1,1,284f0fa1f8a62572a7349663f7597083.jpg,5.6,800,160,12:14:08
+1.0,2012-04-03,2012-04-03 11:09:15,0,3,da8c18770a36c6a9d751964ee66b3acb.jpg,5.6,800,400,11:09:15
+1.0,2013-02-13,2013-02-13 12:06:08,1,1,3d22e592eac23ed44294c96a127f391e.jpg,5.6,800,100,12:06:08
+1.0,2013-01-28,2013-01-28 12:40:02,1,1,01fb599ccd372a4daec88520529b2847.jpg,5.6,800,100,12:40:02
+1.0,2013-02-19,2013-02-19 16:33:45,1,1,476af0a3f53cd5a0abf6cf17964acfc8.jpg,5.6,800,320,16:33:45
+1.0,2013-02-26,2013-02-26 12:10:38,1,1,10e6e8d4cce97cb21be279a325f68bd9.jpg,5.6,800,160,12:10:38
+1.0,2012-02-23,2012-02-23 14:54:47,0,3,33f968b18b5f90f4e40aa0b14566e2a3.jpg,5.6,800,400,14:54:47
+1.0,2013-02-26,2013-02-26 12:24:11,1,1,697532e66ac8de1aaf3a8d72752d9f85.jpg,5.6,800,200,12:24:11
+1.0,2013-02-20,2013-02-20 12:25:27,1,1,cc3f83cdc322875f660f244f428cda2d.jpg,5.6,800,100,12:25:27
+1.0,2013-01-29,2013-01-29 16:25:55,1,1,19ed69e4ed34228cef75b48e85dca2e4.jpg,5.6,800,320,16:25:55
+1.0,2013-01-29,2013-01-29 16:23:50,1,1,7d0ecad6b65975612618dbff5ed1b0f2.jpg,5.6,800,320,16:23:50
+1.0,2013-01-29,2013-01-29 12:31:40,1,1,10e948de9c5eb1945addffda73cc43b2.jpg,5.6,800,100,12:31:40
+1.0,2012-04-24,2012-04-24 09:48:31,0,3,b3e076bfef892976c4ac9c4232cc1616.jpg,5.6,800,400,09:48:31
+1.0,2013-02-13,2013-02-13 12:45:30,1,1,0225c01f371162369d6288c46bfac2fd.jpg,5.6,800,100,12:45:30
+1.0,2013-02-20,2013-02-20 12:22:45,1,1,5c5ed61afc1ec7e9462698b158ad2027.jpg,5.6,800,100,12:22:45
+1.0,2012-04-03,2012-04-03 11:05:32,0,3,ff7510c187bae41eb6c0d265d7d736a2.jpg,5.6,800,400,11:05:32
+1.0,2012-04-25,2012-04-25 10:59:17,0,3,cc7c2178118fa34ac672d491005f1bb6.jpg,5.6,800,400,10:59:17
+1.0,2013-02-19,2013-02-19 16:33:49,1,1,f6562af0657ac1d98e07ad99335e9554.jpg,5.6,800,400,16:33:49
+1.0,2013-02-13,2013-02-13 12:18:08,1,1,6d3f00cca58e605319711d0c9124869b.jpg,5.6,800,100,12:18:08
+1.0,2013-01-29,2013-01-29 16:27:44,1,1,db6a826185cad37f28ea6568e83ea62c.jpg,5.6,800,320,16:27:44
+1.0,2013-01-29,2013-01-29 12:08:14,1,1,fde2b0efaaa10f57cb1d633b28604096.jpg,5.6,800,100,12:08:14
+1.0,2013-01-29,2013-01-29 16:29:16,1,1,dc80309fcf2b98d8c371a22de5e00f81.jpg,5.6,800,250,16:29:16
+1.0,2013-01-29,2013-01-29 12:33:57,1,1,a8108929473eb41b8322b9c71af8ccbf.jpg,5.6,800,100,12:33:57
+1.0,2012-04-03,2012-04-03 09:37:48,0,3,4ea8b28b669fdf1c34281b3611bd58d6.jpg,5.6,800,400,09:37:48
+1.0,2012-03-20,2012-03-20 12:34:24,0,3,9f6a77045cc2c7189389489e02864cfc.jpg,5.6,800,400,12:34:24
+1.0,2013-01-28,2013-01-28 12:40:44,1,1,7099f9191e45de4b16e47d984e853b73.jpg,5.6,800,100,12:40:44
+1.0,2012-03-22,2012-03-22 11:09:54,0,3,dfb9e0d8a16bfbb00e5b080142dda549.jpg,5.6,800,400,11:09:54
+1.0,2012-04-03,2012-04-03 09:38:07,0,3,50f1bdc911fb4c393c74c891d860d235.jpg,5.6,800,400,09:38:07
+1.0,2013-01-29,2013-01-29 16:31:39,1,1,68c36c909192f1224aca6195465eecf0.jpg,5.6,800,400,16:31:39
+1.0,2013-02-19,2013-02-19 16:29:05,1,1,a8275df77ec90f4a880d0c9ad5ef4d1e.jpg,5.6,800,320,16:29:05
+1.0,2013-02-19,2013-02-19 16:32:07,1,1,55891983a0f655eb90287423a2dedc69.jpg,5.6,800,320,16:32:07
+1.0,2012-03-08,2012-03-08 14:54:38,0,3,aaf6470bc7a28b558cb43421b1c6a266.jpg,5.6,800,400,14:54:38
+1.0,2013-02-20,2013-02-20 12:06:29,1,1,e9632767c6ea775d0f20f73a68a440bc.jpg,5.6,800,160,12:06:29
+1.0,2013-02-13,2013-02-13 12:24:02,1,1,9faf73de0ee156313c6660eb0eccd2d8.jpg,5.6,800,100,12:24:02
+1.0,2012-03-20,2012-03-20 11:04:28,0,3,2ad59485ad90ab3a3a7b11b4331d1737.jpg,5.6,800,400,11:04:28
+1.0,2013-02-20,2013-02-20 12:10:26,1,1,8f5deb24363b637c3b9601db6cc32074.jpg,5.6,800,160,12:10:26
+1.0,2013-01-29,2013-01-29 12:33:15,1,1,0cb5978a9f49e014dac438df3c885422.jpg,5.6,800,100,12:33:15
+1.0,2013-02-26,2013-02-26 12:15:33,1,1,d9d60f733053fb34cc964334e0552b4e.jpg,5.6,800,200,12:15:33
+1.0,2013-02-20,2013-02-20 12:23:54,1,1,37d7416374ba24bb376ffeabdc9ef4b3.jpg,5.6,800,100,12:23:54
+1.0,2012-04-03,2012-04-03 09:43:51,0,3,069752903a6c104c386b94b07a24f820.jpg,5.6,800,400,09:43:51
+1.0,2012-03-20,2012-03-20 12:36:21,0,3,d3ccedeaa472ddead1658fc16c61b3bd.jpg,5.6,800,400,12:36:21
+1.0,2013-01-29,2013-01-29 16:26:21,1,1,80a03232dea113ff2712b247c072411d.jpg,5.6,800,250,16:26:21
+1.0,2012-03-20,2012-03-20 13:57:24,0,3,e079df362267e74811cc45d79ada2bbc.jpg,5.6,800,400,13:57:24
+1.0,2013-02-26,2013-02-26 12:11:33,1,1,f7c3f21ed5f4d33380c8751d6334b167.jpg,5.6,800,160,12:11:33
+1.0,2013-02-20,2013-02-20 12:26:08,1,1,7085116aca7b7859c27d609333931575.jpg,5.6,800,100,12:26:08
+1.0,2013-02-20,2013-02-20 14:13:22,1,1,95c690c76682965a64ebba50b421a664.jpg,5.6,800,200,14:13:22
+1.0,2012-03-22,2012-03-22 11:04:08,0,3,3fbb15a0afbb0a05493a13adbf1a6570.jpg,5.6,800,400,11:04:08
+1.0,2013-01-28,2013-01-28 12:38:37,1,1,07e04127b83edba02e8c3ffda376c16c.jpg,5.6,800,100,12:38:37
+1.0,2013-01-29,2013-01-29 16:27:31,1,1,6d2febf7737a6040f8ac28716d86c728.jpg,5.6,800,250,16:27:31
+1.0,2012-04-03,2012-04-03 09:38:10,0,3,9c634872c89a1b5d15c22d5f6c8e513c.jpg,5.6,800,400,09:38:10
+1.0,2013-02-13,2013-02-13 12:22:00,1,1,c8be6761c647a2af282c29d9faa7fad4.jpg,5.6,800,100,12:22:00
+1.0,2013-02-26,2013-02-26 12:11:12,1,1,b3fae71e4e219026c735ddb81e0dc333.jpg,5.6,800,200,12:11:12
+1.0,2013-01-29,2013-01-29 12:12:52,1,1,130650c71a22c8d0d6d487e83e140a48.jpg,5.6,800,100,12:12:52
+1.0,2013-02-26,2013-02-26 12:10:39,1,1,755deb72e89666010027cbad73b5abe4.jpg,5.6,800,160,12:10:39
+1.0,2012-04-03,2012-04-03 11:10:54,0,3,6f340c73593a7404db30332a508486a8.jpg,5.6,800,400,11:10:54
+1.0,2012-04-26,2012-04-26 12:37:05,0,3,836cb445464c619127cd1fafbf70a9b0.jpg,5.6,800,400,12:37:05
+1.0,2012-03-22,2012-03-22 14:00:14,0,3,f58b752f9b3092faa2dbac628e8c13ad.jpg,5.6,800,400,14:00:14
+1.0,2013-02-13,2013-02-13 13:14:14,1,1,5fa482e896c816a09740d163c651adf9.jpg,5.6,800,100,13:14:14
+1.0,2012-03-20,2012-03-20 09:42:24,0,3,1201662157ac89e5dd04a941d9658b4d.jpg,5.6,800,400,09:42:24
+1.0,2013-02-26,2013-02-26 12:07:25,1,1,313593fa0dc8e83e037f99673dd4b6b1.jpg,5.6,800,200,12:07:25
+1.0,2013-02-26,2013-02-26 12:17:37,1,1,03e2a53e7d88a253c276438608b777f6.jpg,5.6,800,200,12:17:37
+1.0,2012-03-06,2012-03-06 13:27:32,0,3,f2bc02ba0675db2e319a88fd457e5422.jpg,5.6,800,400,13:27:32
+1.0,2012-04-03,2012-04-03 09:40:49,0,3,40d0c20fd2ba4a127758f850f2af60a7.jpg,5.6,800,400,09:40:49
+1.0,2013-01-29,2013-01-29 12:29:59,1,1,a405ca20f119eec125500a822c3e9791.jpg,5.6,800,100,12:29:59
+1.0,2012-03-20,2012-03-20 12:32:05,0,3,c1e11be7bb61eeb8db96ece3bde88729.jpg,5.6,800,400,12:32:05
+1.0,2012-04-03,2012-04-03 11:11:05,0,3,a0e4532aee2f3c176bee522a1e31faf8.jpg,5.6,800,400,11:11:05
+1.0,2013-02-19,2013-02-19 16:25:37,1,1,f92ac070353573ace6876155e1347215.jpg,5.6,800,320,16:25:37
+1.0,2013-02-26,2013-02-26 12:19:16,1,1,30bafdd22b6028e6b8ab0e94bf9f2736.jpg,5.6,800,200,12:19:16
+1.0,2013-01-28,2013-01-28 12:34:12,1,1,bb5bedc3aa6cbae39af2c9dc0a57fa92.jpg,5.6,800,100,12:34:12
+1.0,2012-03-20,2012-03-20 12:34:13,0,3,7af700b9a53620c6f44f40dcee408ea4.jpg,5.6,800,400,12:34:13
+1.0,2012-03-08,2012-03-08 10:48:22,0,3,fa64a1038ad374f785c4302e1db428ef.jpg,5.6,800,400,10:48:22
+1.0,2012-04-03,2012-04-03 11:05:13,0,3,603e68ed3b11226924982e27b1459382.jpg,5.6,800,400,11:05:13
+1.0,2012-03-20,2012-03-20 12:30:01,0,3,da4248b5c8d03c25b8f980dc7bc70183.jpg,5.6,800,400,12:30:01
+1.0,2012-04-03,2012-04-03 09:37:29,0,3,03473b7e4245b4e2c041c81db812139e.jpg,5.6,800,400,09:37:29
+1.0,2013-02-26,2013-02-26 12:07:57,1,1,b5e34b6e8b54064a69e5439641e45437.jpg,5.6,800,200,12:07:57
+1.0,2012-03-20,2012-03-20 15:23:58,0,3,cb8e857feaf111e3299087442871de7c.jpg,5.6,800,400,15:23:58
+1.0,2012-04-03,2012-04-03 09:44:23,0,3,eb9d7c3c98ef46bfb1d63490c288a94a.jpg,5.6,800,400,09:44:23
+1.0,2013-02-19,2013-02-19 16:29:20,1,1,4a9ba08fa0b9804ecaad61b34c52699d.jpg,5.6,800,320,16:29:20
+1.0,2012-04-03,2012-04-03 09:36:10,0,3,7a0bc7f311b799355b1a9d44f5ad07e0.jpg,5.6,800,400,09:36:10
+1.0,2012-04-03,2012-04-03 11:11:57,0,3,44e423f772e8c2e2f4437a1d9b38ec42.jpg,5.6,800,400,11:11:57
+1.0,2012-03-20,2012-03-20 09:42:12,0,3,aa7e907ac056aded600b82ed24d0689c.jpg,5.6,800,400,09:42:12
+1.0,2013-02-26,2013-02-26 12:11:06,1,1,a36f2c7b849871cb38ee6d182117cea5.jpg,5.6,800,200,12:11:06
+1.0,2013-01-29,2013-01-29 12:17:12,1,1,821846231ab369b7d212e54a66b7853e.jpg,5.6,800,100,12:17:12
+1.0,2013-02-26,2013-02-26 12:09:39,1,1,b5494eb92dc3de5484e71e938f1238f8.jpg,5.6,800,200,12:09:39
+1.0,2013-01-29,2013-01-29 16:27:24,1,1,2db2a502fde2eda26b281f6040eac5d8.jpg,5.6,800,250,16:27:24
+1.0,2013-01-29,2013-01-29 12:34:03,1,1,d04cf2b62c85130118fec73df78fe53e.jpg,5.6,800,100,12:34:03
+1.0,2012-03-13,2012-03-13 11:08:48,0,3,cbb747f573ccccc4c7448af8aba69bea.jpg,5.6,800,400,11:08:48
+1.0,2013-01-29,2013-01-29 16:24:08,1,1,fad5a9390aa237641d3baa945e1c813b.jpg,5.6,800,500,16:24:08
+1.0,2013-01-29,2013-01-29 12:16:52,1,1,85ff7061cf0bea9f83e8e9133fb487aa.jpg,5.6,800,100,12:16:52
+1.0,2012-03-20,2012-03-20 15:24:00,0,3,93f53177d5fae0ed08c27ccd678f0598.jpg,5.6,800,400,15:24:00
+1.0,2013-02-13,2013-02-13 12:32:59,1,1,6a128b1166771c75414810c392273598.jpg,5.6,800,100,12:32:59
+1.0,2012-03-20,2012-03-20 15:22:18,0,3,a562fd847d0b1de20e3802c13fe831a7.jpg,5.6,800,400,15:22:18
+1.0,2013-02-26,2013-02-26 12:12:16,1,1,4c543e71d4f551778380aa9608372bf9.jpg,5.6,800,200,12:12:16
+1.0,2012-03-22,2012-03-22 11:04:06,0,3,551e0bf30a1e5f94e49788f120585a90.jpg,5.6,800,400,11:04:06
+1.0,2013-02-20,2013-02-20 12:10:58,1,1,288e5f741d12855527be402ef9de4760.jpg,5.6,800,160,12:10:58
+1.0,2012-03-20,2012-03-20 15:23:04,0,3,f81b5399593a18360f195fab227acadc.jpg,5.6,800,400,15:23:04
+1.0,2013-01-29,2013-01-29 16:34:30,1,1,a31d4f82ff19c05b89bcf5f642b50d77.jpg,5.6,800,320,16:34:30
+1.0,2013-02-13,2013-02-13 11:59:45,1,1,d43ee7515cd8c2df31eddb86593be2d1.jpg,5.6,800,100,11:59:45
+1.0,2013-01-29,2013-01-29 12:31:18,1,1,163275e908d4beee57875781f7ed0336.jpg,5.6,800,100,12:31:18
+1.0,2012-03-20,2012-03-20 13:55:50,0,3,8f345a2ec464b7aa9763ae26b139ff95.jpg,5.6,800,400,13:55:50
+1.0,2012-03-20,2012-03-20 12:30:26,0,3,9faedadee04431d0fd78d6f57a655381.jpg,5.6,800,400,12:30:26
+1.0,2012-03-20,2012-03-20 12:30:24,0,3,cbed94e40cae352a63d024fe86d8f052.jpg,5.6,800,400,12:30:24
+1.0,2013-01-29,2013-01-29 16:32:34,1,1,f7ebd773d638f89fc2b2a475a9c0adf3.jpg,5.6,800,320,16:32:34
+1.0,2013-01-29,2013-01-29 12:33:34,1,1,ece10f1a19469c3ee2df1dd63aabdd6e.jpg,5.6,800,100,12:33:34
+1.0,2012-04-24,2012-04-24 09:41:19,0,3,a854c4349a5cb8b2e9c15b2fa7d570d9.jpg,5.6,800,400,09:41:19
+1.0,2012-03-20,2012-03-20 12:33:00,0,3,15279ce7d307894db50c8aec38290efd.jpg,5.6,800,400,12:33:00
+1.0,2013-01-29,2013-01-29 16:24:00,1,1,96dba90e5c5320c465197659942db4b5.jpg,5.6,800,500,16:24:00
+1.0,2013-02-13,2013-02-13 12:12:46,1,1,182e8291c298304bf13a0660a8ffc2f7.jpg,5.6,800,100,12:12:46
+1.0,2012-04-03,2012-04-03 09:43:49,0,3,8a29be9c5c354dc543d4153222437084.jpg,5.6,800,400,09:43:49
+1.0,2012-03-20,2012-03-20 09:47:37,0,3,05a2230289ae25ae660bf89b30402260.jpg,5.6,800,400,09:47:37
+1.0,2013-02-20,2013-02-20 12:08:19,1,1,71d46697d00b1626d35369138d28eef8.jpg,5.6,800,250,12:08:19
+1.0,2012-04-03,2012-04-03 09:35:54,0,3,83b04b765a7b96a750763db35f9de67c.jpg,5.6,800,400,09:35:54
+1.0,2013-01-29,2013-01-29 12:10:18,1,1,950bf8ef545afba97756ae3144c2ce67.jpg,5.6,800,100,12:10:18
+1.0,2013-02-26,2013-02-26 12:21:21,1,1,78094417beb72360b4ca59b827a1f87f.jpg,5.6,800,200,12:21:21
+1.0,2012-03-06,2012-03-06 13:28:27,0,3,17a5c812aa72e48a78100eba09a7c709.jpg,5.6,800,400,13:28:27
+1.0,2012-04-03,2012-04-03 12:34:21,0,3,65897803b290f365a908a25c70376c1a.jpg,5.6,800,400,12:34:21
+1.0,2013-01-29,2013-01-29 12:16:20,1,1,8c955a5925c349875080171305b4b2dd.jpg,5.6,800,100,12:16:20
+1.0,2013-01-28,2013-01-28 12:42:32,1,1,36f22c33b3de560a34ea11d028aee3b4.jpg,5.6,800,100,12:42:32
+1.0,2013-02-13,2013-02-13 13:22:48,1,1,d6a6b3637363be1ddcdc9255f9049e83.jpg,5.6,800,100,13:22:48
+1.0,2012-03-08,2012-03-08 10:43:44,0,3,033308e542b68cd7f30be207275966bf.jpg,5.6,800,400,10:43:44
+1.0,2013-01-29,2013-01-29 16:22:18,1,1,d1b0885e3e19c3aa3e9f711c75a109b5.jpg,5.6,800,250,16:22:18
+1.0,2012-04-12,2012-04-12 12:33:17,0,3,044e89faf61c79038bfcc1776394defc.jpg,5.6,800,400,12:33:17
+1.0,2012-03-22,2012-03-22 11:10:58,0,3,ad747d3eb01854409288d64e24a557a7.jpg,5.6,800,400,11:10:58
+1.0,2013-01-29,2013-01-29 12:31:38,1,1,d57d23490679140ca4d8045ca4833931.jpg,5.6,800,100,12:31:38
+1.0,2012-03-20,2012-03-20 15:24:07,0,3,ae9a9d9d6a79c634cd276e66396c4456.jpg,5.6,800,400,15:24:07
+1.0,2012-03-22,2012-03-22 11:07:00,0,3,c5881359a7f583a920801b2c9d114df8.jpg,5.6,800,400,11:07:00
+1.0,2012-02-23,2012-02-23 14:54:38,0,3,e721ed3aa357da1f94d36d1438d15953.jpg,5.6,800,400,14:54:38
+1.0,2012-03-22,2012-03-22 11:04:55,0,3,84c917216cc627559d1fd0e7ec82c80c.jpg,5.6,800,400,11:04:55
+1.0,2013-01-29,2013-01-29 16:21:11,1,1,87e9172113032c95536469aa33c7d062.jpg,5.6,800,200,16:21:11
+1.0,2012-04-17,2012-04-17 12:29:31,0,3,03c996bef28bcf8f6f50caec1e682632.jpg,5.6,800,400,12:29:31
+1.0,2013-01-29,2013-01-29 12:31:05,1,1,cd9fcc41b5d6b85356aa6e58ef4f60b4.jpg,5.6,800,100,12:31:05
+1.0,2012-03-20,2012-03-20 11:06:37,0,3,6ded278bc66995c92d03d7b10bbbf5e8.jpg,5.6,800,400,11:06:37
+1.0,2012-04-03,2012-04-03 09:35:01,0,3,3711f6ed4f807e62d888f07db575da70.jpg,5.6,800,400,09:35:01
+1.0,2012-03-20,2012-03-20 13:55:55,0,3,8367c4da74eb0db18df2eec1e85b4335.jpg,5.6,800,400,13:55:55
+1.0,2012-04-03,2012-04-03 09:39:33,0,3,60c2eec055030fbbeddeabeea28094f4.jpg,5.6,800,400,09:39:33
+1.0,2013-01-29,2013-01-29 16:22:18,1,1,9a1cffedb4101cd25b25329568c81fb2.jpg,5.6,800,320,16:22:18
+1.0,2012-03-22,2012-03-22 14:00:46,0,3,631c4c008998b9faa777c54fa72cae55.jpg,5.6,800,400,14:00:46
+1.0,2013-02-20,2013-02-20 12:36:03,1,1,10ced58ebc178930c2b5fd3fa50a3688.jpg,5.6,800,100,12:36:03
+1.0,2012-03-08,2012-03-08 10:46:38,0,3,ed3e876f91597cec22d36d6444a120e8.jpg,5.6,800,400,10:46:38
+1.0,2013-01-28,2013-01-28 12:38:28,1,1,632fb0b7d1710778c928f0feaba350d7.jpg,5.6,800,100,12:38:28
+1.0,2013-01-28,2013-01-28 12:38:32,1,1,1334f0f4a32873e2d34418324f738919.jpg,5.6,800,100,12:38:32
+1.0,2012-03-06,2012-03-06 13:27:37,0,3,d60ce2fd2c5a259b39b82b32054a6e08.jpg,5.6,800,400,13:27:37
+1.0,2013-02-20,2013-02-20 12:22:11,1,1,7cea5c0b289f07708483ee838d5598e8.jpg,5.6,800,100,12:22:11
+1.0,2012-03-13,2012-03-13 11:09:42,0,3,016e52f97c2bde215c28ff539f889906.jpg,5.6,800,400,11:09:42
+1.0,2013-02-13,2013-02-13 12:52:45,1,1,a150858b96d0538c7b813ead099ed133.jpg,5.6,800,100,12:52:45
+1.0,2012-03-06,2012-03-06 13:30:21,0,3,8f9e580384c8f0d38b1e9bd18a481e03.jpg,5.6,800,400,13:30:21
+1.0,2013-02-13,2013-02-13 12:14:31,1,1,4f71a4dbdf0b2ce7d855507fc0ee549e.jpg,5.6,800,100,12:14:31
+1.0,2013-02-19,2013-02-19 16:16:14,1,1,288411a802beb35c9c6a7a691f0b4b08.jpg,5.6,800,320,16:16:14
+1.0,2013-01-28,2013-01-28 12:33:35,1,1,10474836c325ddae47ab8bad0db5fdc5.jpg,5.6,800,100,12:33:35
+1.0,2013-02-26,2013-02-26 12:16:28,1,1,d780d24e7aa2dc2e5b1140bda9c5164c.jpg,5.6,800,160,12:16:28
+1.0,2013-01-29,2013-01-29 12:32:33,1,1,e5f876c93ef933d3ba977660056641aa.jpg,5.6,800,100,12:32:33
+1.0,2013-01-29,2013-01-29 16:25:58,1,1,f6ba8afcc1b53d8c0f7494aba74c66c0.jpg,5.6,800,250,16:25:58
+1.0,2013-02-13,2013-02-13 12:45:16,1,1,154d2e22bfaa8119bf325a0d435e4978.jpg,5.6,800,100,12:45:16
+1.0,2013-02-20,2013-02-20 12:06:19,1,1,b75dea3c633187fb08345f75f159daa1.jpg,5.6,800,200,12:06:19
+1.0,2013-02-13,2013-02-13 13:07:18,1,1,049703274fb4d2dd6b14090e762887ad.jpg,5.6,800,100,13:07:18
+1.0,2013-02-13,2013-02-13 12:14:07,1,1,6288a2a414b6d11d31d8e1166bb6e7b9.jpg,5.6,800,100,12:14:07
+1.0,2012-03-08,2012-03-08 14:56:16,0,3,cc092445fe8dc75efbb3a3c302d28a81.jpg,5.6,800,400,14:56:16
+1.0,2012-04-03,2012-04-03 11:12:16,0,3,df008e2bed209eb002aa6640006b19fe.jpg,5.6,800,400,11:12:16
+1.0,2012-03-20,2012-03-20 15:22:21,0,3,ae3fc23a7f0c483058238e8051ffa54f.jpg,5.6,800,400,15:22:21
+1.0,2012-03-20,2012-03-20 12:35:17,0,3,0d41d593c03a2d8494b0c414b20d2742.jpg,5.6,800,400,12:35:17
+1.0,2012-03-08,2012-03-08 14:53:42,0,3,f956e78d71b5189af57b96b495f75db1.jpg,5.6,800,400,14:53:42
+1.0,2013-01-29,2013-01-29 16:34:55,1,1,408783dadbb514737fba7b99cfade7cb.jpg,5.6,800,320,16:34:55
+1.0,2013-01-29,2013-01-29 16:26:48,1,1,5cf16866fa49634731cd31cc8635ef3b.jpg,5.6,800,400,16:26:48
+1.0,2012-04-03,2012-04-03 09:39:40,0,3,0e2762691aa91344e69054c58287e40f.jpg,5.6,800,400,09:39:40
+1.0,2013-02-26,2013-02-26 12:10:47,1,1,9ae5c33bacbfd3fbb147e8237530412a.jpg,5.6,800,160,12:10:47
+1.0,2013-02-19,2013-02-19 16:25:42,1,1,cc44fd4ed1ab3d4224e7b741bbe28525.jpg,5.6,800,320,16:25:42
+1.0,2013-02-19,2013-02-19 16:26:17,1,1,8724b4aec270f6882583900f1700d4f9.jpg,5.6,800,500,16:26:17
+1.0,2013-01-29,2013-01-29 12:17:15,1,1,da50d5cc2a9d3e07215819964f066054.jpg,5.6,800,100,12:17:15
+1.0,2013-02-13,2013-02-13 12:09:07,1,1,33aff16e5a1cefaa342593750527725d.jpg,5.6,800,100,12:09:07
+1.0,2013-02-19,2013-02-19 16:26:19,1,1,8c18a4fd1058297b922d531c6a5e4d5d.jpg,5.6,800,320,16:26:19
+1.0,2013-01-29,2013-01-29 12:12:39,1,1,55c6ea78cce2f1140d4e8d63bd0babc9.jpg,5.6,800,100,12:12:39
+1.0,2013-02-19,2013-02-19 16:31:15,1,1,494f519e1fd07463ee48e36d6955caf3.jpg,5.6,800,320,16:31:15
+1.0,2013-01-28,2013-01-28 12:37:07,1,1,da449b44e93d53987ee0498fd6a62f78.jpg,5.6,800,100,12:37:07
+1.0,2012-03-20,2012-03-20 13:56:45,0,3,dad12bf77cef92fc08098024811840f5.jpg,5.6,800,400,13:56:45
+1.0,2012-04-03,2012-04-03 11:11:08,0,3,b4a9ce580acf1398b2c0fa2549474cbb.jpg,5.6,800,400,11:11:08
+1.0,2013-02-20,2013-02-20 12:34:15,1,1,5f22e9fe7e005ee9839859b4ef70aeac.jpg,5.6,800,100,12:34:15
+1.0,2013-01-29,2013-01-29 12:33:57,1,1,c36e8b0300cdb97c760213ba4d03abf2.jpg,5.6,800,100,12:33:57
+1.0,2012-03-13,2012-03-13 11:13:17,0,3,dfd114bce79c8a20dbd2c72d6827ed69.jpg,5.6,800,400,11:13:17
+1.0,2013-02-19,2013-02-19 16:22:37,1,1,95d41a3d11e98e6f4b505e0623aa7bb1.jpg,5.6,800,400,16:22:37
+1.0,2013-01-29,2013-01-29 12:11:50,1,1,a8df4314da2998c43da9c8d914f68091.jpg,5.6,800,100,12:11:50
+1.0,2012-04-03,2012-04-03 09:38:52,0,3,628f607dcfc5f07f239539d46483d924.jpg,5.6,800,400,09:38:52
+1.0,2012-03-06,2012-03-06 13:30:22,0,3,fe6c368a36905f3fc8f44d1ddd333715.jpg,5.6,800,400,13:30:22
+1.0,2013-01-28,2013-01-28 12:36:05,1,1,e14fa2c8d657af162a02539a5601e15d.jpg,5.6,800,100,12:36:05
+1.0,2013-02-26,2013-02-26 12:10:36,1,1,c75f0294fd424de22c2bd1b2f4a1119a.jpg,5.6,800,200,12:10:36
+1.0,2012-03-06,2012-03-06 13:29:49,0,3,cef2ff3b61356c548432a9b22f32d3fa.jpg,5.6,800,400,13:29:49
+1.0,2013-01-29,2013-01-29 16:24:26,1,1,920215332a33adb0aab873e1021105f5.jpg,5.6,800,320,16:24:26
+1.0,2013-02-20,2013-02-20 12:44:44,1,1,e09ec1b252c81295fd3f432dc8b50ed3.jpg,5.6,800,100,12:44:44
+1.0,2013-01-29,2013-01-29 16:33:53,1,1,2d6f8a0fe996f12d6ddbe11e45220b76.jpg,5.6,800,400,16:33:53
+1.0,2012-03-06,2012-03-06 13:32:43,0,3,d1b1be5cb22614e17c87405117e2e03d.jpg,5.6,800,400,13:32:43
+1.0,2012-03-20,2012-03-20 12:32:23,0,3,5feea82e0bea8ac54f1eb9538c03ee50.jpg,5.6,800,400,12:32:23
+1.0,2012-03-20,2012-03-20 11:04:00,0,3,893be80fed8c306d7df5fa211ccc86b9.jpg,5.6,800,400,11:04:00
+1.0,2013-01-29,2013-01-29 16:26:12,1,1,7688d2dc9fefb91f49ea684c91dd5926.jpg,5.6,800,500,16:26:12
+1.0,2013-01-28,2013-01-28 12:38:12,1,1,025fbde418777954135958ce6e6ed336.jpg,5.6,800,100,12:38:12
+1.0,2012-04-03,2012-04-03 11:11:18,0,3,6a4574ca47899ac26e732858fbb64f63.jpg,5.6,800,400,11:11:18
+1.0,2012-04-03,2012-04-03 09:36:34,0,3,f6585ce9233d73b9ab0ba7b050ed9506.jpg,5.6,800,400,09:36:34
+1.0,2013-02-19,2013-02-19 16:32:06,1,1,2fe79c3fcc6f4df0fbe4c23af0039628.jpg,5.6,800,320,16:32:06
+1.0,2013-02-13,2013-02-13 12:05:08,1,1,87972375afded08bfcde3b1a0e355fed.jpg,5.6,800,100,12:05:08
+1.0,2013-02-13,2013-02-13 12:54:38,1,1,ad0d751b846e108d457242940f7a02d2.jpg,5.6,800,100,12:54:38
+1.0,2013-01-29,2013-01-29 16:35:13,1,1,db4c199eb167c5b212da4e0d122c99cf.jpg,5.6,800,320,16:35:13
+1.0,2013-01-28,2013-01-28 12:34:38,1,1,cd8bf275728efa6addf2792bd5841179.jpg,5.6,800,100,12:34:38
+1.0,2013-02-19,2013-02-19 16:29:12,1,1,59b4b5fe73d5f5fdd6782e0a2d93f6ad.jpg,5.6,800,320,16:29:12
+1.0,2012-04-03,2012-04-03 09:43:23,0,3,0122fd5eebac1f154074b3dbcd1a10eb.jpg,5.6,800,400,09:43:23
+1.0,2012-04-03,2012-04-03 11:11:23,0,3,f2296defede265c5fbafec47a7f6a184.jpg,5.6,800,400,11:11:23
+1.0,2012-04-03,2012-04-03 09:38:22,0,3,edbf5f768ba7310e816697c366d95f08.jpg,5.6,800,400,09:38:22
+1.0,2013-02-26,2013-02-26 12:26:29,1,1,b0472e053d7718b4a71a90931085c31e.jpg,5.6,800,200,12:26:29
+1.0,2012-03-13,2012-03-13 11:12:18,0,3,4fa4c8e69f1a633188d9222c40dcac1f.jpg,5.6,800,400,11:12:18
+1.0,2012-04-03,2012-04-03 11:07:00,0,3,e850e5c56827c3ada32bbfd9d7ecdcbd.jpg,5.6,800,400,11:07:00
+1.0,2012-03-06,2012-03-06 13:29:00,0,3,79816880c92bcfc1317bd8850247d6f1.jpg,5.6,800,400,13:29:00
+1.0,2012-03-20,2012-03-20 13:57:25,0,3,ebbea2c73255dfd74483234d125d2e7b.jpg,5.6,800,400,13:57:25
+1.0,2013-01-28,2013-01-28 12:35:29,1,1,1d8132af44d4e546a36cf61deb7769ce.jpg,5.6,800,100,12:35:29
+1.0,2013-01-28,2013-01-28 12:38:17,1,1,1426ef205d41f4c12ff2be55009276fc.jpg,5.6,800,100,12:38:17
+1.0,2013-02-20,2013-02-20 12:25:19,1,1,1e6cdc073db66f6562db706850a8dd99.jpg,5.6,800,100,12:25:19
+1.0,2012-03-20,2012-03-20 09:45:34,0,3,c1713aa80d6720e50527625821c15238.jpg,5.6,800,400,09:45:34
+1.0,2013-02-26,2013-02-26 12:06:56,1,1,25afc4c9dd184b847c06d4d2cb483ddf.jpg,5.6,800,160,12:06:56
+1.0,2012-03-08,2012-03-08 14:55:48,0,3,a27f8e38b89c1b92231f3c72f04832e1.jpg,5.6,800,400,14:55:48
+1.0,2012-03-20,2012-03-20 13:58:34,0,3,a065ec4b89ce60a9b95290b5e8f12e9d.jpg,5.6,800,400,13:58:34
+1.0,2012-02-23,2012-02-23 14:54:47,0,3,278df0d84451a0925c3bc8d60a2d78b8.jpg,5.6,800,400,14:54:47
+1.0,2012-03-20,2012-03-20 09:47:31,0,3,e3f979619ccc41009f582495290d55fb.jpg,5.6,800,400,09:47:31
+1.0,2013-01-29,2013-01-29 12:17:17,1,1,76b8552523e5546ee5042e82c7a3afc7.jpg,5.6,800,100,12:17:17
+1.0,2013-02-26,2013-02-26 12:18:20,1,1,01dce04a4aa7cead2afe002016690142.jpg,5.6,800,200,12:18:20
+1.0,2012-04-03,2012-04-03 09:37:21,0,3,0cd7045cd284b8250d5edf42d93156fd.jpg,5.6,800,400,09:37:21
+1.0,2013-02-13,2013-02-13 12:21:24,1,1,1325faaf5deae3e0f80138ce8cc371d9.jpg,5.6,800,100,12:21:24
+1.0,2013-02-20,2013-02-20 12:07:12,1,1,88ed2463fa3d1494a3d85c1eb2509a1a.jpg,5.6,800,160,12:07:12
+1.0,2013-01-29,2013-01-29 16:24:10,1,1,0be9fd5574679f8a2aa61fa1297fb053.jpg,5.6,800,500,16:24:10
+1.0,2013-02-19,2013-02-19 16:31:09,1,1,7bdf11a0922768d6114c2a0ef700f719.jpg,5.6,800,320,16:31:09
+1.0,2013-01-29,2013-01-29 12:31:37,1,1,48ef2d3a1c6e08aa19428e6a01e048ee.jpg,5.6,800,100,12:31:37
+1.0,2012-03-20,2012-03-20 11:06:03,0,3,d26c1687d22a9287773097c3a4070952.jpg,5.6,800,400,11:06:03
+1.0,2012-04-03,2012-04-03 11:05:23,0,3,91a9c3aefd83da058f00a25a6dfdab8f.jpg,5.6,800,400,11:05:23
+1.0,2012-03-20,2012-03-20 12:36:53,0,3,c62e2b96f6024ebd50e786c7b64dbeef.jpg,5.6,800,400,12:36:53
+1.0,2012-03-20,2012-03-20 12:33:47,0,3,057a0305fe767b2b4d40066464ccb369.jpg,5.6,800,400,12:33:47
+1.0,2012-04-03,2012-04-03 12:32:24,0,3,795b483784473f2448e7739a4de98f21.jpg,5.6,800,400,12:32:24
+1.0,2012-02-23,2012-02-23 14:55:39,0,3,54ed083c6e3177b9881f4d69c7629f31.jpg,5.6,800,400,14:55:39
+1.0,2012-04-03,2012-04-03 11:07:28,0,3,479069855552dad064765f5c784219c3.jpg,5.6,800,400,11:07:28
+1.0,2012-04-03,2012-04-03 09:38:51,0,3,2997de5fa43230108cf819e0d0bae975.jpg,5.6,800,400,09:38:51
+1.0,2013-01-29,2013-01-29 16:22:12,1,1,f61c38cc3441ec29e74c406f14cdd3f5.jpg,5.6,800,250,16:22:12
+1.0,2013-01-29,2013-01-29 12:34:30,1,1,de58ec15eeb9a8b9b0b5170fc2ecffbf.jpg,5.6,800,100,12:34:30
+1.0,2012-04-03,2012-04-03 09:39:43,0,3,0788ba42470e13645d11f007239f011d.jpg,5.6,800,400,09:39:43
+1.0,2012-04-12,2012-04-12 13:59:38,0,3,75c46d415f5a22bcbe1e5f29159b2731.jpg,5.6,800,400,13:59:38
+1.0,2012-03-08,2012-03-08 14:58:02,0,3,e7b0e51f5b5b63221f7016fbc6a11592.jpg,5.6,800,400,14:58:02
+1.0,2012-03-22,2012-03-22 11:10:58,0,3,4f082231f06d61b3f586c001f9cdca16.jpg,5.6,800,400,11:10:58
+1.0,2013-02-26,2013-02-26 12:09:32,1,1,5d54d84dd351a18b9f5f29532887689b.jpg,5.6,800,200,12:09:32
+1.0,2013-02-20,2013-02-20 12:06:27,1,1,bca948011f14ca3a3580569726248297.jpg,5.6,800,200,12:06:27
+1.0,2013-02-20,2013-02-20 12:39:34,1,1,3591337c6d3141fe942a68656051ca1a.jpg,5.6,800,100,12:39:34
+1.0,2013-02-19,2013-02-19 16:29:00,1,1,fa4ca93195897672223f00559e448fce.jpg,5.6,800,320,16:29:00
+1.0,2013-01-29,2013-01-29 12:20:15,1,1,28935b1601f7129227253738203652bb.jpg,5.6,800,100,12:20:15
+1.0,2012-04-03,2012-04-03 11:11:59,0,3,f31cb4c39bd8bfcb7482edf054be2229.jpg,5.6,800,400,11:11:59
+1.0,2012-04-03,2012-04-03 09:42:24,0,3,df9a7e20e3b3f69057381de310b84815.jpg,5.6,800,400,09:42:24
+1.0,2013-02-13,2013-02-13 12:56:33,1,1,9a7362e3a0543ddf92ea8e92f377498e.jpg,5.6,800,100,12:56:33
+1.0,2013-02-13,2013-02-13 12:48:10,1,1,add58c7e1bf82f86daad763f21aadebd.jpg,5.6,800,100,12:48:10
+1.0,2012-04-17,2012-04-17 12:27:42,0,3,02a7698939d5e70a451301a2513e09cc.jpg,5.6,800,400,12:27:42
+1.0,2012-03-22,2012-03-22 11:07:48,0,3,64b7531171e6619592ffb3fcd246d7b4.jpg,5.6,800,400,11:07:48
+1.0,2013-02-13,2013-02-13 13:08:16,1,1,4bf7de65f79e9aabf0095ea6f8bc9446.jpg,5.6,800,100,13:08:16
+1.0,2013-01-29,2013-01-29 12:07:42,1,1,48a385f5c49b969e1877a8e53d3a041b.jpg,5.6,800,100,12:07:42
+1.0,2013-01-29,2013-01-29 12:10:51,1,1,4625a11490df1539cced44b1bad7de0b.jpg,5.6,800,100,12:10:51
+1.0,2013-02-19,2013-02-19 16:22:39,1,1,ad9cef4f8aa8001971c7471502965d65.jpg,5.6,800,320,16:22:39
+1.0,2013-01-28,2013-01-28 12:42:16,1,1,0a8a3501f993cae06e17cdc72d7278bb.jpg,5.6,800,100,12:42:16
+1.0,2012-04-03,2012-04-03 11:08:16,0,3,5f57b46595afe1d03f8ca60939fd39b8.jpg,5.6,800,400,11:08:16
+1.0,2013-02-26,2013-02-26 12:12:40,1,1,7a22642994b14d70282401accd2daa1d.jpg,5.6,800,200,12:12:40
+1.0,2013-02-20,2013-02-20 12:39:46,1,1,da635d0248d3708f15da1061c2805914.jpg,5.6,800,100,12:39:46
+1.0,2012-04-03,2012-04-03 09:38:58,0,3,9fe857e5c6aa8836e49bde6674a25011.jpg,5.6,800,400,09:38:58
+1.0,2012-04-26,2012-04-26 11:09:36,0,3,2d7d128a6e2778e3f402035e2ff4c39d.jpg,5.6,800,400,11:09:36
+1.0,2013-01-29,2013-01-29 16:34:50,1,1,df091ee5c8faae6a56acf1143e72e471.jpg,5.6,800,320,16:34:50
+1.0,2012-03-08,2012-03-08 10:46:26,0,3,2c68f3f564b7d8aa9a39ec17ac398ed6.jpg,5.6,800,400,10:46:26
+1.0,2013-02-19,2013-02-19 16:14:36,1,1,96f13bb37189964691bf9a4e5c4e87be.jpg,5.6,800,320,16:14:36
+1.0,2013-02-20,2013-02-20 12:04:40,1,1,a9957e3571c6d8930629c42552d04b3f.jpg,5.6,800,160,12:04:40
+1.0,2012-03-22,2012-03-22 11:06:38,0,3,9f46df4e83d56b819fb180bf12e03c0c.jpg,5.6,800,400,11:06:38
+1.0,2013-01-29,2013-01-29 16:32:54,1,1,624c4b526b698b1db19f8bdcd9e5c27a.jpg,5.6,800,320,16:32:54
+1.0,2012-03-20,2012-03-20 12:32:10,0,3,f93b803d9f522d2950c269382bc37329.jpg,5.6,800,400,12:32:10
+1.0,2013-01-29,2013-01-29 12:17:16,1,1,fcff397ce7204217e15763e57c8a4581.jpg,5.6,800,100,12:17:16
+1.0,2012-04-03,2012-04-03 11:11:35,0,3,76aada5b14dd877c5707749b364d8028.jpg,5.6,800,400,11:11:35
+1.0,2012-04-03,2012-04-03 09:44:14,0,3,cd21b0257d26698fd04a4b7ee59fbabe.jpg,5.6,800,400,09:44:14
+1.0,2012-04-03,2012-04-03 11:08:38,0,3,9d8589de9bf37a6396818e25203c52f7.jpg,5.6,800,400,11:08:38
+1.0,2012-03-22,2012-03-22 11:09:39,0,3,8a32707abf39635384555c83081d1d54.jpg,5.6,800,400,11:09:39
+1.0,2013-02-26,2013-02-26 12:09:10,1,1,6c3af471b8697f176589be7f8d11f48b.jpg,5.6,800,200,12:09:10
+1.0,2013-01-29,2013-01-29 12:34:26,1,1,9525766ded87598c317e13b9bb6bae73.jpg,5.6,800,100,12:34:26
+1.0,2012-04-03,2012-04-03 09:42:55,0,3,fe2e9bed468d04f1e8bac2863ec7766b.jpg,5.6,800,400,09:42:55
+1.0,2013-01-29,2013-01-29 12:19:13,1,1,2d69a98581531d700a26b1c906b91c21.jpg,5.6,800,100,12:19:13
+1.0,2012-03-22,2012-03-22 11:08:29,0,3,2e0a10ae1a01cb3c3492a0f38d10a837.jpg,5.6,800,400,11:08:29
+1.0,2013-02-19,2013-02-19 16:34:00,1,1,4ec188daa7d35914e951bd416bbad4a5.jpg,5.6,800,320,16:34:00
+1.0,2013-02-20,2013-02-20 12:05:06,1,1,7746903c3f455e8702dd19569b45a916.jpg,5.6,800,200,12:05:06
+1.0,2012-03-22,2012-03-22 11:06:43,0,3,9956d92c2fc24863a0b7524a02f0902b.jpg,5.6,800,400,11:06:43
+1.0,2013-01-29,2013-01-29 12:27:47,1,1,f40ad00e9987e7e336b254229cec0662.jpg,5.6,800,100,12:27:47
+1.0,2013-02-19,2013-02-19 16:27:03,1,1,ae56586d45b57888c6ea3cd9677d6a49.jpg,5.6,800,320,16:27:03
+1.0,2013-01-29,2013-01-29 16:31:24,1,1,f22b5b0798f5038b19cd3f632f5501b1.jpg,5.6,800,250,16:31:24
+1.0,2012-03-20,2012-03-20 12:35:05,0,3,beb454897ae762233d29efcbdda987c2.jpg,5.6,800,400,12:35:05
+1.0,2013-02-20,2013-02-20 12:06:50,1,1,8a8523fd7c0e5c8083497d4e5dd21cc5.jpg,5.6,800,200,12:06:50
+1.0,2013-01-28,2013-01-28 12:41:24,1,1,3a50905f5abb2cf21129b1bd0a2656d4.jpg,5.6,800,100,12:41:24
+1.0,2013-02-20,2013-02-20 12:02:25,1,1,a92c1a92e989fcf29e99cb7f0d4e983f.jpg,5.6,800,160,12:02:25
+1.0,2013-01-28,2013-01-28 12:33:19,1,1,0766f303f5bed440df496fa43b937e37.jpg,5.6,800,100,12:33:19
+1.0,2012-03-13,2012-03-13 11:13:17,0,3,7ab548ea6c2b81a5b5b3f3e09c71c103.jpg,5.6,800,400,11:13:17
+1.0,2013-02-20,2013-02-20 12:02:59,1,1,7fe7f8fa0c369eec8cd2bb8f26645df2.jpg,5.6,800,160,12:02:59
+1.0,2013-02-19,2013-02-19 16:23:25,1,1,6d4f69e5776c2fa21da422b81ba5590e.jpg,5.6,800,320,16:23:25
+1.0,2013-01-29,2013-01-29 12:33:07,1,1,ab29a72711574b09e413fdddc1c5a691.jpg,5.6,800,100,12:33:07
+1.0,2012-03-20,2012-03-20 12:30:28,0,3,1f2bf4c938d1837d3c96d978a54d9ba4.jpg,5.6,800,400,12:30:28
+1.0,2013-01-28,2013-01-28 12:34:06,1,1,64d13244d54ed5be92743f7113485019.jpg,5.6,800,100,12:34:06
+1.0,2012-04-03,2012-04-03 09:39:48,0,3,468434f41aa76a8f2102006a7f0685c1.jpg,5.6,800,400,09:39:48
+1.0,2012-03-20,2012-03-20 15:24:18,0,3,686f5a54b3d75956dc45ef8a087e5766.jpg,5.6,800,400,15:24:18
+1.0,2012-04-03,2012-04-03 11:05:53,0,3,e158439cc4db8b016d63f32f6545599a.jpg,5.6,800,400,11:05:53
+1.0,2012-03-20,2012-03-20 15:23:18,0,3,cd287c432b44efbcd85d72bdfef975ef.jpg,5.6,800,400,15:23:18
+1.0,2013-02-13,2013-02-13 12:13:34,1,1,1513b0a2452a18eb2f87ad38e0e007f4.jpg,5.6,800,100,12:13:34
+1.0,2012-03-06,2012-03-06 13:31:26,0,3,3948cf31300b545bdc84c299c368494d.jpg,5.6,800,400,13:31:26
+1.0,2012-03-20,2012-03-20 11:08:18,0,3,3445ee773cd716eebc836bbd55bcb4e6.jpg,5.6,800,400,11:08:18
+1.0,2013-01-28,2013-01-28 12:33:09,1,1,bd08b07fd79ce524381a0b3555e8cbd1.jpg,5.6,800,100,12:33:09
+1.0,2013-02-20,2013-02-20 12:25:31,1,1,bfb802aea961e297b516e1b298b71a5c.jpg,5.6,800,100,12:25:31
+1.0,2012-04-03,2012-04-03 09:38:15,0,3,c5d3498c10a631a800b2d7867084e40a.jpg,5.6,800,400,09:38:15
+1.0,2013-02-19,2013-02-19 16:23:23,1,1,819376504bd25879b21cc4b6c6e4b802.jpg,5.6,800,320,16:23:23
+1.0,2013-02-13,2013-02-13 12:02:08,1,1,9b0afece3abf450fa95146ca03217a44.jpg,5.6,800,100,12:02:08
+1.0,2013-01-28,2013-01-28 12:34:02,1,1,950c552cb42789f20c43f6ccd813fb67.jpg,5.6,800,100,12:34:02
+1.0,2013-01-29,2013-01-29 16:32:56,1,1,c6b38a26903e75a20e206367a1efdc0c.jpg,5.6,800,400,16:32:56
+1.0,2013-01-29,2013-01-29 12:19:56,1,1,47dde2289dd9102474648511a1c8e350.jpg,5.6,800,100,12:19:56
+1.0,2013-02-20,2013-02-20 12:06:52,1,1,6a7ef603267f21e89c4757109fa65c5a.jpg,5.6,800,160,12:06:52
+1.0,2013-02-26,2013-02-26 12:15:17,1,1,12b8db5d1afdd94827408548e2d62e9c.jpg,5.6,800,200,12:15:17
+1.0,2012-04-03,2012-04-03 12:37:23,0,3,e74667d769ae184f3b19ace6165df110.jpg,5.6,800,400,12:37:23
+1.0,2012-04-03,2012-04-03 11:13:16,0,3,9f7fd4a6b0f2119d5f09015592dcc2cd.jpg,5.6,800,400,11:13:16
+1.0,2013-02-20,2013-02-20 12:03:08,1,1,ba687ffc0a5162721748d873d259b5bf.jpg,5.6,800,160,12:03:08
+1.0,2013-01-29,2013-01-29 16:24:46,1,1,0daf2db3ebc787b9ac2aa287c285a0a6.jpg,5.6,800,400,16:24:46
+1.0,2013-01-28,2013-01-28 12:37:56,1,1,063c1f6cbfad0068e93add86f5bc1fd5.jpg,5.6,800,100,12:37:56
+1.0,2012-02-23,2012-02-23 14:55:40,0,3,1d2e19134b8d389e718212fb78fbe4ca.jpg,5.6,800,400,14:55:40
+1.0,2013-01-29,2013-01-29 16:25:27,1,1,33a7ddbe8d53f50ab582ea9b5d50ea7e.jpg,5.6,800,320,16:25:27
+1.0,2012-04-03,2012-04-03 09:42:25,0,3,10a09da3433fa04c883db652a71a5dbe.jpg,5.6,800,400,09:42:25
+1.0,2013-01-28,2013-01-28 12:36:17,1,1,ac2f307115c9204d3528d82bb93f6b4b.jpg,5.6,800,100,12:36:17
+1.0,2012-03-20,2012-03-20 12:33:05,0,3,fa294a550f343aa436c03a501ee94d1b.jpg,5.6,800,400,12:33:05
+1.0,2013-02-19,2013-02-19 16:27:22,1,1,46a1d050843d971e09253204aa729d65.jpg,5.6,800,400,16:27:22
+1.0,2012-04-03,2012-04-03 11:08:20,0,3,833e4d6b79a637eba29051291c02e0e9.jpg,5.6,800,400,11:08:20
+1.0,2013-02-20,2013-02-20 12:14:07,1,1,9ac8473d0e1b83212719d79962520205.jpg,5.6,800,160,12:14:07
+1.0,2013-01-29,2013-01-29 12:17:06,1,1,545ab3c2618d2ee19b72844b723efb5b.jpg,5.6,800,100,12:17:06
+1.0,2013-02-19,2013-02-19 16:20:01,1,1,c897bcfbff81f46d349684bd66569c02.jpg,5.6,800,400,16:20:01
+1.0,2012-04-03,2012-04-03 11:11:58,0,3,47329071b8aaff09727f527e1489d388.jpg,5.6,800,400,11:11:58
+1.0,2013-01-29,2013-01-29 12:27:25,1,1,783a09be6cd6de58e2b47d932edd78fd.jpg,5.6,800,100,12:27:25
+1.0,2012-03-06,2012-03-06 13:29:27,0,3,b909f89e1c0d985f99a9459659a32004.jpg,5.6,800,400,13:29:27
+1.0,2012-03-06,2012-03-06 13:32:04,0,3,302143436f5a7e8a29136ee399bcd386.jpg,5.6,800,400,13:32:04
+1.0,2013-02-20,2013-02-20 12:34:18,1,1,bb68022e487e280ed0b73c72212b62ab.jpg,5.6,800,100,12:34:18
+1.0,2013-01-29,2013-01-29 12:13:37,1,1,d557134bbae01eed146a0a75e3969b5d.jpg,5.6,800,100,12:13:37
+1.0,2012-03-08,2012-03-08 12:13:15,0,3,595fd0eacd48fc5d14eed5eb1240e9e6.jpg,5.6,800,400,12:13:15
+1.0,2012-03-20,2012-03-20 13:56:38,0,3,f5aabc1b5300d8a48ddae9f06cf18cda.jpg,5.6,800,400,13:56:38
+1.0,2012-04-03,2012-04-03 12:31:08,0,3,802df9c79ec008ddd3f4f3e37f576f01.jpg,5.6,800,400,12:31:08
+1.0,2012-03-06,2012-03-06 13:32:03,0,3,b5583ca7703744b867e23f1c8b4df7ff.jpg,5.6,800,400,13:32:03
+1.0,2013-01-29,2013-01-29 12:17:50,1,1,c6d07905dfab3a0aa6b0f571c0055e18.jpg,5.6,800,100,12:17:50
+1.0,2012-03-20,2012-03-20 09:45:29,0,3,407d1678ff3a294e62bc60da27d2d692.jpg,5.6,800,400,09:45:29
+1.0,2013-02-13,2013-02-13 12:08:21,1,1,5f43c0bacf2677b625f84bc71006933b.jpg,5.6,800,100,12:08:21
+1.0,2013-02-20,2013-02-20 12:22:10,1,1,3c3b0c76aba94d13cf9cba4c8faab410.jpg,5.6,800,100,12:22:10
+1.0,2013-01-28,2013-01-28 12:42:13,1,1,1ccda43b89ba884c302b4e11db3c5b3a.jpg,5.6,800,100,12:42:13
+1.0,2012-03-22,2012-03-22 11:10:59,0,3,0b3dd01df36e7f3a18b2c4d817063867.jpg,5.6,800,400,11:10:59
+1.0,2013-02-20,2013-02-20 12:44:19,1,1,7a396710b04f2917be90a5aedd75ec6b.jpg,5.6,800,100,12:44:19
+1.0,2013-01-29,2013-01-29 16:25:31,1,1,92566346590c100f1ed567f9bd2abe49.jpg,5.6,800,320,16:25:31
+1.0,2013-01-29,2013-01-29 12:16:24,1,1,1cafae8a761b3fd884af755d8cf138f4.jpg,5.6,800,100,12:16:24
+1.0,2013-02-26,2013-02-26 12:11:31,1,1,61ab8c4841f6d514ad0d8513634aaa38.jpg,5.6,800,160,12:11:31
+1.0,2012-04-03,2012-04-03 11:12:07,0,3,06b7c44fc047a4163c2828c76758f292.jpg,5.6,800,400,11:12:07
+1.0,2012-03-22,2012-03-22 13:58:29,0,3,947304f3f8131b6a7ef20f9949f7d7d1.jpg,5.6,800,400,13:58:29
+1.0,2013-02-19,2013-02-19 16:34:19,1,1,c9814b11d4113e87fe1120619e9e3a42.jpg,5.6,800,320,16:34:19
+1.0,2012-04-03,2012-04-03 09:38:12,0,3,414275de46285b00e12decf5d2b99cb3.jpg,5.6,800,400,09:38:12
+1.0,2013-02-26,2013-02-26 12:19:50,1,1,96b6cc4f507c431839bbaefd22188bbe.jpg,5.6,800,200,12:19:50
+1.0,2013-01-29,2013-01-29 12:14:29,1,1,d20c04604a7d10bcea867009b19061e0.jpg,5.6,800,100,12:14:29
+1.0,2012-04-03,2012-04-03 12:36:00,0,3,e847b855c7d63dbe56c0f86da94290d7.jpg,5.6,800,400,12:36:00
+1.0,2012-03-08,2012-03-08 14:53:49,0,3,e3660e10a69dc7fff120257967ddfa82.jpg,5.6,800,400,14:53:49
+1.0,2013-02-19,2013-02-19 16:26:59,1,1,4d30ea394dadac911fb215d316515722.jpg,5.6,800,320,16:26:59
+1.0,2013-02-26,2013-02-26 12:09:51,1,1,aab8ce6490ea6fca045dd7677e1a12a1.jpg,5.6,800,200,12:09:51
+1.0,2012-04-03,2012-04-03 11:08:37,0,3,adefceb1352b735346eaeb90f79b2ca4.jpg,5.6,800,400,11:08:37
+1.0,2012-04-03,2012-04-03 11:07:28,0,3,d62fb9e26ad2adcbffbc9b78d9f19055.jpg,5.6,800,400,11:07:28
+1.0,2013-02-20,2013-02-20 12:34:05,1,1,cca93966d3b2c3b3069e3719317664cc.jpg,5.6,800,100,12:34:05
+1.0,2012-03-22,2012-03-22 13:58:31,0,3,4ddc34143c98123f90199ca9454ba8ad.jpg,5.6,800,400,13:58:31
+1.0,2012-03-20,2012-03-20 12:36:54,0,3,e44a835611fb8006ef9bbdb64f7ff81a.jpg,5.6,800,400,12:36:54
+1.0,2013-02-13,2013-02-13 13:16:36,1,1,0c6be69d896eb78f1c80e2d49dda3926.jpg,5.6,800,100,13:16:36
+1.0,2012-03-20,2012-03-20 15:25:04,0,3,3cb50e9aceb022d8612061583fd66525.jpg,5.6,800,400,15:25:04
+1.0,2013-02-26,2013-02-26 12:09:51,1,1,a433208c90dfc8b523455ba1c4de6938.jpg,5.6,800,200,12:09:51
+1.0,2012-04-03,2012-04-03 09:36:20,0,3,dcf82e1b5230b8629f04afdd667df022.jpg,5.6,800,400,09:36:20
+1.0,2012-03-20,2012-03-20 12:31:43,0,3,78a28b953e86346d5a69b7ad08990eb4.jpg,5.6,800,400,12:31:43
+1.0,2012-03-20,2012-03-20 09:47:36,0,3,95e8353d5903e24ab1d5c3d9bdb1761a.jpg,5.6,800,400,09:47:36
+1.0,2012-03-20,2012-03-20 12:35:04,0,3,3c5baf8111dcfeb672ac99151f51e1ce.jpg,5.6,800,400,12:35:04
+1.0,2012-03-08,2012-03-08 10:45:13,0,3,ff9a5e861d9dadb08a0d98bf2dc9d671.jpg,5.6,800,400,10:45:13
+1.0,2013-01-29,2013-01-29 12:33:09,1,1,eaac5785786dcc8f1c43f2ff5a8c127c.jpg,5.6,800,100,12:33:09
+1.0,2012-03-20,2012-03-20 12:31:26,0,3,6ed8bb19e309e9fe37a589dfc8a07af2.jpg,5.6,800,400,12:31:26
+1.0,2013-02-26,2013-02-26 12:13:04,1,1,b988ddf3143fd6bf2e2c5e97e5a85788.jpg,5.6,800,200,12:13:04
+1.0,2012-04-03,2012-04-03 09:37:49,0,3,238e0cee8bd8edac59ccb28d99fc8f26.jpg,5.6,800,400,09:37:49
+1.0,2012-03-20,2012-03-20 11:08:52,0,3,ece4505ed1f49139f1e3777630e88c1a.jpg,5.6,800,400,11:08:52
+1.0,2013-01-29,2013-01-29 16:25:55,1,1,71bc96119dda718796d20e9f441ee526.jpg,5.6,800,320,16:25:55
+1.0,2012-04-03,2012-04-03 12:33:24,0,3,b491e2448fd7d4146b4c784328ca1974.jpg,5.6,800,400,12:33:24
+1.0,2013-02-13,2013-02-13 13:13:58,1,1,56f0b9b7b54ca113a371244b0bcb3076.jpg,5.6,800,100,13:13:58
+1.0,2012-03-06,2012-03-06 13:34:09,0,3,9b777210b2b4b9d9f7dcc8bde04ead5e.jpg,5.6,800,400,13:34:09
+1.0,2013-02-13,2013-02-13 12:10:26,1,1,69f0c66c627152a58d5e2e132132b19b.jpg,5.6,800,100,12:10:26
+1.0,2013-02-13,2013-02-13 13:27:18,1,1,d1b759bab8f0989bbbc96eab96a08c72.jpg,5.6,800,100,13:27:18
+1.0,2012-04-03,2012-04-03 11:12:07,0,3,008a53b32d80c52ae68fcacbc4dc2bf0.jpg,5.6,800,400,11:12:07
+1.0,2013-02-26,2013-02-26 12:17:23,1,1,0dc5861d1b5c5401010de8b28282881c.jpg,5.6,800,200,12:17:23
+1.0,2013-01-29,2013-01-29 16:27:57,1,1,9798a6c9866cecc010a2292fc9ec13b4.jpg,5.6,800,400,16:27:57
+1.0,2013-02-13,2013-02-13 13:07:45,1,1,92d65b2343f6b2b61dce5d947b1f8bca.jpg,5.6,800,100,13:07:45
+1.0,2012-03-20,2012-03-20 13:58:28,0,3,41bf2b75f6b60812ba4c4483e671e75d.jpg,5.6,800,400,13:58:28
+1.0,2012-03-20,2012-03-20 13:56:26,0,3,839e2a7895abdbc57e80846daf7b6e08.jpg,5.6,800,400,13:56:26
+1.0,2012-03-08,2012-03-08 10:46:25,0,3,e3bd97af24a9ad69f068cfc4c6710987.jpg,5.6,800,400,10:46:25
+1.0,2013-01-29,2013-01-29 12:07:49,1,1,a44744727123ba82c8da260bae870bfc.jpg,5.6,800,100,12:07:49
+1.0,2012-04-24,2012-04-24 09:42:22,0,3,0aba9e36ef67cbc24baa13b81b8e10a2.jpg,5.6,800,400,09:42:22
+1.0,2012-03-20,2012-03-20 09:43:42,0,3,4d7d9021475393b4a5fc621e71a2322b.jpg,5.6,800,400,09:43:42
+1.0,2012-03-20,2012-03-20 12:32:14,0,3,6db38a53b4a35d753c4035eb1d36c2bf.jpg,5.6,800,400,12:32:14
+1.0,2013-01-28,2013-01-28 12:33:21,1,1,37493cb9571051cf381922c0f9bb650d.jpg,5.6,800,100,12:33:21
+1.0,2013-02-20,2013-02-20 12:02:58,1,1,fe4f50c3704d504b3751146485265b12.jpg,5.6,800,160,12:02:58
+1.0,2013-02-13,2013-02-13 13:15:44,1,1,172642a805e6499c62969702643a4ce4.jpg,5.6,800,100,13:15:44
+1.0,2012-03-20,2012-03-20 15:24:27,0,3,2baa18575d279eb3d44ee8478247ea90.jpg,5.6,800,400,15:24:27
+1.0,2013-02-19,2013-02-19 16:33:50,1,1,5f8e3a253e694da8bd50b792204cde1c.jpg,5.6,800,320,16:33:50
+1.0,2012-03-20,2012-03-20 13:56:37,0,3,799b36e3b5fb8f160652cd8d1fac5f41.jpg,5.6,800,400,13:56:37
+1.0,2012-03-22,2012-03-22 11:09:47,0,3,662fee3feb5a120b01ebc3b11bd4e5ed.jpg,5.6,800,400,11:09:47
+1.0,2012-04-24,2012-04-24 09:45:18,0,3,b281d53aad957bfa896f8e7f36dcbe3c.jpg,5.6,800,400,09:45:18
+1.0,2013-02-13,2013-02-13 12:19:10,1,1,3dc82f9ef8d272252c5947ab16d94ceb.jpg,5.6,800,100,12:19:10
+1.0,2012-04-03,2012-04-03 11:11:06,0,3,8c37a1a5caad1a0d69b9165ae2f023b4.jpg,5.6,800,400,11:11:06
+1.0,2012-04-03,2012-04-03 09:35:40,0,3,1da849fa2a3168d4d69625ddf69aae47.jpg,5.6,800,400,09:35:40
+1.0,2013-02-20,2013-02-20 12:10:52,1,1,5e5ee2813ce63d8619ff81f84e091d4b.jpg,5.6,800,160,12:10:52
+1.0,2012-04-03,2012-04-03 11:04:35,0,3,7682422ab4b244f5071df4d15fea26a6.jpg,5.6,800,400,11:04:35
+1.0,2013-01-28,2013-01-28 12:40:52,1,1,5090766cc330b0983b27e31cb22c623a.jpg,5.6,800,100,12:40:52
+1.0,2013-01-29,2013-01-29 12:12:42,1,1,83b1498cfca8166ae95bec2322248703.jpg,5.6,800,100,12:12:42
+1.0,2012-03-20,2012-03-20 15:24:24,0,3,1c54c21136ee9638ea61e1205468056f.jpg,5.6,800,400,15:24:24
+1.0,2013-01-29,2013-01-29 16:23:59,1,1,2838a4611d82512fc9ce75f9f48eab17.jpg,5.6,800,640,16:23:59
+1.0,2013-01-29,2013-01-29 12:09:45,1,1,878bea960fe38be732a35da7171d4370.jpg,5.6,800,100,12:09:45
+1.0,2013-01-29,2013-01-29 16:26:52,1,1,0e227209d919233afce1173cf86cb425.jpg,5.6,800,250,16:26:52
+1.0,2013-02-26,2013-02-26 12:30:04,1,1,85f4ebc5f52e4a14ca77c71a91df4308.jpg,5.6,800,200,12:30:04
+1.0,2013-01-28,2013-01-28 12:36:08,1,1,0f8e7b37a5cbd84445f396e1d892a358.jpg,5.6,800,100,12:36:08
+1.0,2013-02-26,2013-02-26 12:17:36,1,1,ab84c94ce8a573eea093f03deed83c1e.jpg,5.6,800,200,12:17:36
+1.0,2013-01-29,2013-01-29 12:27:38,1,1,d3765bcd9e2dd119742f3bf3b292ddac.jpg,5.6,800,100,12:27:38
+1.0,2013-01-29,2013-01-29 12:14:59,1,1,cef57d5e9ffff8fccd95c8574a6e6925.jpg,5.6,800,100,12:14:59
+1.0,2013-01-28,2013-01-28 12:40:08,1,1,66caa5580225fed406b332eacc6f942d.jpg,5.6,800,100,12:40:08
+1.0,2013-02-20,2013-02-20 12:24:33,1,1,f44d855d318dd9f76a90f8ab3ae3fa25.jpg,5.6,800,100,12:24:33
+1.0,2012-03-13,2012-03-13 11:12:20,0,3,783e332cbf30faefa8752f8714e30f06.jpg,5.6,800,400,11:12:20
+1.0,2013-02-26,2013-02-26 12:13:00,1,1,4fad12a74d2fe76c4902368b3f8bed48.jpg,5.6,800,200,12:13:00
+1.0,2012-03-08,2012-03-08 10:46:54,0,3,2af1fd9815887c77f007b34872c1dff9.jpg,5.6,800,400,10:46:54
+1.0,2012-03-13,2012-03-13 11:12:17,0,3,8dd2d0098a7acd1389aad5913f4ce48e.jpg,5.6,800,400,11:12:17
+1.0,2012-04-03,2012-04-03 12:30:53,0,3,a578ac625d47a6363868c388a877ab0b.jpg,5.6,800,400,12:30:53
+1.0,2013-01-29,2013-01-29 12:33:54,1,1,562ec042d2a9072ac5d8561121ecbdc4.jpg,5.6,800,100,12:33:54
+1.0,2012-04-03,2012-04-03 09:36:24,0,3,fd292bf5446fbef49e39f96acd271477.jpg,5.6,800,400,09:36:24
+1.0,2012-03-20,2012-03-20 15:24:06,0,3,d9d9c56b21e89358a28aefd38dd8968e.jpg,5.6,800,400,15:24:06
+1.0,2013-01-29,2013-01-29 16:33:49,1,1,5affc3df48b5e162506ca205f8b91b47.jpg,5.6,800,800,16:33:49
+1.0,2012-04-03,2012-04-03 09:35:49,0,3,cd0a65d9d7dd629e343eef0ad9484afd.jpg,5.6,800,400,09:35:49
+1.0,2013-02-20,2013-02-20 12:09:48,1,1,9f5d18330a8d95f6c76f7e3bd63d94ca.jpg,5.6,800,200,12:09:48
+1.0,2012-03-20,2012-03-20 13:56:09,0,3,d5a1420da61adafb366235031b5954d1.jpg,5.6,800,400,13:56:09
+1.0,2012-03-20,2012-03-20 09:40:59,0,3,746f221fdae495ced8535e4287dacc8f.jpg,5.6,800,400,09:40:59
+1.0,2013-01-29,2013-01-29 12:34:06,1,1,c44ee069e45f50aed485aa6a9748a006.jpg,5.6,800,100,12:34:06
+1.0,2013-01-29,2013-01-29 12:09:21,1,1,625033dd9957ff6e8e3a71e424b0c61f.jpg,5.6,800,100,12:09:21
+1.0,2012-03-06,2012-03-06 13:28:30,0,3,c01dca2a33c4433ba5e93874bbc747f5.jpg,5.6,800,400,13:28:30
+1.0,2012-03-20,2012-03-20 13:59:30,0,3,5da1707926f27fba237a88432bc48ee8.jpg,5.6,800,400,13:59:30
+1.0,2013-02-20,2013-02-20 12:08:03,1,1,c16904dffbd790460388805cbfa6a9b9.jpg,5.6,800,200,12:08:03
+1.0,2013-02-19,2013-02-19 16:14:50,1,1,3efc0b00f191351cf2ef78bfc2a6260f.jpg,5.6,800,250,16:14:50
+1.0,2012-03-20,2012-03-20 09:45:53,0,3,c5fd2b67bea704dc538cbabfe515ea1e.jpg,5.6,800,400,09:45:53
+1.0,2013-01-28,2013-01-28 12:35:25,1,1,56dfc5934d5141f2a450d5bb5d13fd0b.jpg,5.6,800,100,12:35:25
+1.0,2013-01-29,2013-01-29 12:12:00,1,1,8bea283dc7c4697fd308836293a50c02.jpg,5.6,800,100,12:12:00
+1.0,2013-02-26,2013-02-26 12:13:13,1,1,871a525f26629eb632ea9b6558e80fcc.jpg,5.6,800,160,12:13:13
+1.0,2013-01-28,2013-01-28 12:39:00,1,1,7cbba0942c27a088ffae6ad633439626.jpg,5.6,800,100,12:39:00
+1.0,2013-02-26,2013-02-26 12:10:59,1,1,3833369af74135ecfc1635cc025cc8e3.jpg,5.6,800,160,12:10:59
+1.0,2012-03-08,2012-03-08 14:57:19,0,3,130a978f54a4722efd56f01fab47fd4b.jpg,5.6,800,400,14:57:19
+1.0,2013-02-19,2013-02-19 16:26:31,1,1,3b8974717d1988511d2d87f03506f41a.jpg,5.6,800,400,16:26:31
+1.0,2012-03-20,2012-03-20 15:23:02,0,3,3834f75a418543949a493916cb7b12d7.jpg,5.6,800,400,15:23:02
+1.0,2012-04-03,2012-04-03 09:35:02,0,3,a4cac6419c6da247cf250fa9271aa476.jpg,5.6,800,400,09:35:02
+1.0,2013-02-20,2013-02-20 12:26:20,1,1,6abafc68feeef87da49c7358d40d9480.jpg,5.6,800,100,12:26:20
+1.0,2012-03-20,2012-03-20 13:58:49,0,3,d393dd3cd1938a6868a13f9fb6fc9f10.jpg,5.6,800,400,13:58:49
+1.0,2012-03-20,2012-03-20 15:22:24,0,3,aff661c097a8df704acfd7fdea97bc1c.jpg,5.6,800,400,15:22:24
+1.0,2012-03-22,2012-03-22 11:09:46,0,3,9cd0a1a31af93820437b8484dafc2482.jpg,5.6,800,400,11:09:46
+1.0,2012-04-03,2012-04-03 11:08:45,0,3,bc67951ed9dca53e3df9ad3d8cb78021.jpg,5.6,800,400,11:08:45
+1.0,2012-03-22,2012-03-22 13:58:35,0,3,c1d66059099fb492926ac62e32b2dd14.jpg,5.6,800,400,13:58:35
+1.0,2013-01-28,2013-01-28 12:41:29,1,1,7ddb32f2748b75db9877851d21508f03.jpg,5.6,800,100,12:41:29
+1.0,2012-03-20,2012-03-20 11:05:42,0,3,193b174791d825b30e37c0cdbb43a539.jpg,5.6,800,400,11:05:42
+1.0,2013-01-28,2013-01-28 12:42:23,1,1,f9a063f25d150299602873b4013e2230.jpg,5.6,800,100,12:42:23
+1.0,2012-04-03,2012-04-03 11:11:36,0,3,e529ad8a816aa86c77256baa16c6515e.jpg,5.6,800,400,11:11:36
+1.0,2012-03-20,2012-03-20 12:29:07,0,3,c148f4b47596dca8b1b8dd04f6060a8d.jpg,5.6,800,400,12:29:07
+1.0,2012-03-08,2012-03-08 10:48:18,0,3,cf623f509008724d0e719d2a56784c44.jpg,5.6,800,400,10:48:18
+1.0,2013-02-13,2013-02-13 13:15:19,1,1,b59695b1d83db91ddec7f422dc134204.jpg,5.6,800,100,13:15:19
+1.0,2012-03-20,2012-03-20 09:47:34,0,3,3b66619342b91ce4150a1adc62a9969e.jpg,5.6,800,400,09:47:34
+1.0,2012-04-03,2012-04-03 09:39:42,0,3,0b2581b9f273aa021545e79e3e388ae3.jpg,5.6,800,400,09:39:42
+1.0,2012-04-03,2012-04-03 09:36:58,0,3,17dec60bc653e030a3acebb02f5ff563.jpg,5.6,800,400,09:36:58
+1.0,2013-02-19,2013-02-19 16:22:36,1,1,0d38a64a876b38d296d98ada2e8c6595.jpg,5.6,800,400,16:22:36
+1.0,2013-01-29,2013-01-29 12:09:49,1,1,a6269b0c2f584cadb7db2d9a212dff75.jpg,5.6,800,100,12:09:49
+1.0,2012-04-03,2012-04-03 09:35:08,0,3,f4e725178f6c54b468a3a4fd9046c040.jpg,5.6,800,400,09:35:08
+1.0,2013-02-20,2013-02-20 12:11:41,1,1,925423ac1b2d4361e26d6b470324e5f2.jpg,5.6,800,200,12:11:41
+1.0,2012-03-08,2012-03-08 10:46:21,0,3,51171a08daae6230c2d8de149655f23f.jpg,5.6,800,400,10:46:21
+1.0,2012-04-03,2012-04-03 11:05:45,0,3,663a1ad7fbb5aeafb3af072e9c903517.jpg,5.6,800,400,11:05:45
+1.0,2013-02-20,2013-02-20 12:02:25,1,1,bc2bb16a0cfcbd4cbb553722e3139752.jpg,5.6,800,160,12:02:25
+1.0,2012-04-03,2012-04-03 11:11:34,0,3,f9c13495342f495cb0c895df14bf6165.jpg,5.6,800,400,11:11:34
+1.0,2013-02-19,2013-02-19 16:22:39,1,1,ad78838632890ab379da89447b984169.jpg,5.6,800,320,16:22:39
+1.0,2013-01-29,2013-01-29 12:08:23,1,1,77866dbbe85f130045a12c40229d3218.jpg,5.6,800,100,12:08:23
+1.0,2012-04-03,2012-04-03 12:38:07,0,3,3ba47de5b481cb7dd839df322b3e1922.jpg,5.6,800,400,12:38:07
+1.0,2013-01-29,2013-01-29 12:08:30,1,1,a493ba05cbb3c09af8ad3f1430314873.jpg,5.6,800,100,12:08:30
+1.0,2013-01-29,2013-01-29 16:33:42,1,1,2662c890bc9fd04c0107ab254055ebfc.jpg,5.6,800,800,16:33:42
+1.0,2013-01-28,2013-01-28 12:41:35,1,1,0691224312b9b862b24ee7264b0b1c52.jpg,5.6,800,100,12:41:35
+1.0,2012-03-06,2012-03-06 13:31:30,0,3,c636bdd865f27efb17e8a0baa3e76f9e.jpg,5.6,800,400,13:31:30
+1.0,2012-03-20,2012-03-20 11:06:34,0,3,0b9e279c449f0601c2926981ef13ea13.jpg,5.6,800,400,11:06:34
+1.0,2012-03-20,2012-03-20 15:23:18,0,3,2ee611e28de8adb3a8906d5efb070c87.jpg,5.6,800,400,15:23:18
+1.0,2013-01-29,2013-01-29 12:20:50,1,1,571c9c5c1466c440353bca5d3da9144a.jpg,5.6,800,100,12:20:50
+1.0,2013-01-28,2013-01-28 12:33:12,1,1,1be3dac6dbbbc8b516c8231fd2640f03.jpg,5.6,800,100,12:33:12
+1.0,2012-04-25,2012-04-25 11:04:01,0,3,57f6d0afcbc22e29dd61b430d800cc21.jpg,5.6,800,400,11:04:01
+1.0,2013-02-26,2013-02-26 12:16:24,1,1,c4f9af8a8929a7bb10f54b80a594ce52.jpg,5.6,800,160,12:16:24
+1.0,2013-01-29,2013-01-29 12:33:35,1,1,5d4ea5bc0919218ded3cd444ce6b7f0c.jpg,5.6,800,100,12:33:35
+1.0,2013-02-13,2013-02-13 12:45:08,1,1,ba837e046d7fefe60cf9805bc4398e65.jpg,5.6,800,100,12:45:08
+1.0,2012-03-22,2012-03-22 11:06:35,0,3,da7c522ffea57c4cf367e8946d9522d1.jpg,5.6,800,400,11:06:35
+1.0,2012-04-03,2012-04-03 12:34:33,0,3,8065bc7ee3b26462730c9e8eed9e12bc.jpg,5.6,800,400,12:34:33
+1.0,2012-03-20,2012-03-20 09:44:46,0,3,4c93d1e1960dffe1ae2a9653f4a8f674.jpg,5.6,800,400,09:44:46
+1.0,2013-02-20,2013-02-20 12:04:39,1,1,e834e4df92e9d948ed2dc49b6b9e8945.jpg,5.6,800,160,12:04:39
+1.0,2013-01-28,2013-01-28 12:35:34,1,1,8f351c1801752ec25b9ed8668fd8d804.jpg,5.6,800,100,12:35:34
+1.0,2012-03-20,2012-03-20 12:32:41,0,3,91f3c991dee8dca1a424c8d240286895.jpg,5.6,800,400,12:32:41
+1.0,2012-04-03,2012-04-03 11:11:15,0,3,41fdfa1b91a256600ddb7d452a3d4cb3.jpg,5.6,800,400,11:11:15
+1.0,2012-03-20,2012-03-20 13:55:51,0,3,01d749a361b83d175002662998143c09.jpg,5.6,800,400,13:55:51
+1.0,2013-01-29,2013-01-29 12:33:27,1,1,62aae8c1f865418936446a419651966f.jpg,5.6,800,100,12:33:27
+1.0,2012-03-20,2012-03-20 11:04:03,0,3,1326a4d4783f4ecda3675035fc5554bd.jpg,5.6,800,400,11:04:03
+1.0,2012-03-20,2012-03-20 15:22:56,0,3,f2f77b6ee10ba1e3b6c1ea49e7c48785.jpg,5.6,800,400,15:22:56
+1.0,2013-02-19,2013-02-19 16:26:22,1,1,82ef3003d8f2a9453b398eb95f16c4e1.jpg,5.6,800,320,16:26:22
+1.0,2012-02-23,2012-02-23 14:56:47,0,3,c9cc3518c0bd5dc165495897d6ac354f.jpg,5.6,800,400,14:56:47
+1.0,2012-02-23,2012-02-23 14:55:40,0,3,b449ef49c0d6de14c24e6cd777e4a7fe.jpg,5.6,800,400,14:55:40
+1.0,2012-04-03,2012-04-03 09:37:47,0,3,75e076e40ab3f60744fbacfaa60f686b.jpg,5.6,800,400,09:37:47
+1.0,2013-01-29,2013-01-29 16:29:40,1,1,ed54966046eb8f3aff798dbe41fc6600.jpg,5.6,800,400,16:29:40
+1.0,2013-01-28,2013-01-28 12:38:14,1,1,03ffa2cddf7cd6c1c8ad23a2c275bee9.jpg,5.6,800,100,12:38:14
+1.0,2012-04-03,2012-04-03 11:04:33,0,3,261ac64f129cc7fc3eb215499f2c29ba.jpg,5.6,800,400,11:04:33
+1.0,2012-04-03,2012-04-03 09:44:37,0,3,36de1723a964f06d59b5fba25a5a23c2.jpg,5.6,800,400,09:44:37
+1.0,2012-04-03,2012-04-03 11:07:50,0,3,f3d3a4d686c10b3204f567fa73da51d6.jpg,5.6,800,400,11:07:50
+1.0,2013-02-26,2013-02-26 12:09:32,1,1,2c914a676ce3969a92001fd0ba9a7086.jpg,5.6,800,200,12:09:32
+1.0,2013-01-28,2013-01-28 12:38:10,1,1,157fde15ebcf87ac9576b229b8a3a2df.jpg,5.6,800,100,12:38:10
+1.0,2013-02-13,2013-02-13 13:16:39,1,1,be71729d4a70cbeed2caf0c8f9788601.jpg,5.6,800,100,13:16:39
+1.0,2013-02-26,2013-02-26 12:10:29,1,1,39add51d5dc7479bd4f85e1cd830d2c4.jpg,5.6,800,200,12:10:29
+1.0,2013-01-29,2013-01-29 16:33:45,1,1,f125c4508a1785f7520a698c5587e87e.jpg,5.6,800,500,16:33:45
+1.0,2013-01-29,2013-01-29 16:27:22,1,1,61474559d108ffcc7400df83334695bc.jpg,5.6,800,250,16:27:22
+1.0,2012-03-20,2012-03-20 11:05:34,0,3,d779b10acca253504ba570fd3330a806.jpg,5.6,800,400,11:05:34
+1.0,2013-01-29,2013-01-29 12:16:01,1,1,c2036807d0f86f8752a68769e255340e.jpg,5.6,800,100,12:16:01
+1.0,2013-02-20,2013-02-20 12:13:22,1,1,55e3d127c3e305ead92696050127002c.jpg,5.6,800,160,12:13:22
+1.0,2012-03-20,2012-03-20 09:44:21,0,3,a1dffb926ac2a102253f327d4ce229a2.jpg,5.6,800,400,09:44:21
+1.0,2013-02-20,2013-02-20 12:13:25,1,1,74cca2891a1d17c67d3231a5d5bfdec1.jpg,5.6,800,160,12:13:25
+1.0,2013-01-28,2013-01-28 12:41:51,1,1,68cf6371eab607bbd0d422ddfc7ab64e.jpg,5.6,800,100,12:41:51
+1.0,2012-03-08,2012-03-08 12:13:20,0,3,97e72099d0ce6d79ce7c24da108924ce.jpg,5.6,800,400,12:13:20
+1.0,2012-03-20,2012-03-20 09:45:57,0,3,7365c545a00ad108a3ac3c2612b5ed27.jpg,5.6,800,400,09:45:57
+1.0,2012-03-20,2012-03-20 15:25:05,0,3,bde4e004fd28bf419c8d3fe7aea23c94.jpg,5.6,800,400,15:25:05
+1.0,2013-01-28,2013-01-28 12:38:49,1,1,0bf42f908104fdb18df422e22cedce10.jpg,5.6,800,100,12:38:49
+1.0,2012-03-20,2012-03-20 15:23:40,0,3,b8fca990d2057bdd44a6f4c478288c7c.jpg,5.6,800,400,15:23:40
+1.0,2013-01-28,2013-01-28 12:42:20,1,1,f3f205a56ddbf0b4d44b22d765bcfd45.jpg,5.6,800,100,12:42:20
+1.0,2013-02-20,2013-02-20 12:26:01,1,1,213117848c6661665f699c4d999afd7d.jpg,5.6,800,100,12:26:01
+1.0,2013-02-20,2013-02-20 12:14:42,1,1,6daf89ffb6277889035fdce20ff71d9a.jpg,5.6,800,125,12:14:42
+1.0,2013-01-29,2013-01-29 16:27:32,1,1,9768d888a86cfc13c071b0d6ad9b8cdb.jpg,5.6,800,250,16:27:32
+1.0,2013-02-26,2013-02-26 12:28:40,1,1,2ee3ed7d9c4824550c3f3c78a190a842.jpg,5.6,800,250,12:28:40
+1.0,2012-03-20,2012-03-20 09:42:05,0,3,8e941bf9838c1658e0e49f0854fe39d4.jpg,5.6,800,400,09:42:05
+1.0,2013-02-26,2013-02-26 12:05:04,1,1,27d085b6d6858c7bffe0e77fbdddfe4b.jpg,5.6,800,160,12:05:04
+1.0,2012-04-03,2012-04-03 09:39:28,0,3,3626926cc7f760c1e7498f7f45859063.jpg,5.6,800,400,09:39:28
+1.0,2013-02-19,2013-02-19 16:28:26,1,1,962bb0b0b3037ac0f87528cb89944a97.jpg,5.6,800,320,16:28:26
+1.0,2012-03-20,2012-03-20 12:34:53,0,3,7eff645f2fd4f8c6b83a9323db509e17.jpg,5.6,800,400,12:34:53
+1.0,2012-03-20,2012-03-20 12:32:25,0,3,dfea06766f5786053a9e911b412c029e.jpg,5.6,800,400,12:32:25
+1.0,2012-04-03,2012-04-03 11:06:27,0,3,d2b080eaa506a0007a4795adde8dd781.jpg,5.6,800,400,11:06:27
+1.0,2012-03-20,2012-03-20 13:58:27,0,3,0d148f25772919060af5f6a847db117e.jpg,5.6,800,400,13:58:27
+1.0,2012-03-20,2012-03-20 15:22:18,0,3,84f52cb751224317fa47b651f33af97e.jpg,5.6,800,400,15:22:18
+1.0,2012-04-03,2012-04-03 11:12:41,0,3,6543424569c7393ec0d0dac3bf532500.jpg,5.6,800,400,11:12:41
+1.0,2013-02-26,2013-02-26 12:35:44,1,1,21325874c9bad43afab6acd9b8455325.jpg,5.6,800,200,12:35:44
+1.0,2012-04-03,2012-04-03 09:37:00,0,3,db2b0feab7b2c00ae7a5c7537c846c90.jpg,5.6,800,400,09:37:00
+1.0,2013-02-20,2013-02-20 12:08:37,1,1,72d33db1640932bbba9b26a7ddd2fdfe.jpg,5.6,800,200,12:08:37
+1.0,2013-01-29,2013-01-29 16:34:32,1,1,53f43ba094f9976a1bdafe2d7e8aac8b.jpg,5.6,800,320,16:34:32
+1.0,2013-01-28,2013-01-28 12:34:44,1,1,04d68ca2247469c89e2f04444323d1d4.jpg,5.6,800,100,12:34:44
+1.0,2013-02-20,2013-02-20 12:14:01,1,1,ffd547cc58f700f1e26b1cb4547fd08d.jpg,5.6,800,125,12:14:01
+1.0,2013-02-26,2013-02-26 12:04:17,1,1,4d99670a4e32be12f33feefb321ac738.jpg,5.6,800,160,12:04:17
+1.0,2013-02-19,2013-02-19 16:25:15,1,1,bbe0ee1c4eaaec8a9f2702a62527b960.jpg,5.6,800,400,16:25:15
+1.0,2012-03-08,2012-03-08 10:47:46,0,3,9e85b839af02cc46c58fa22e31e08028.jpg,5.6,800,400,10:47:46
+1.0,2013-02-13,2013-02-13 12:52:04,1,1,d073a838b7151fbd54eeba5ff5104895.jpg,5.6,800,100,12:52:04
+1.0,2012-03-20,2012-03-20 11:04:03,0,3,a42c9005e16d7bca7f03378cd248e310.jpg,5.6,800,400,11:04:03
+1.0,2013-01-28,2013-01-28 12:42:09,1,1,d7c25a73013f61732ce19b47d547c599.jpg,5.6,800,100,12:42:09
+1.0,2013-01-29,2013-01-29 12:12:46,1,1,fe01f167d09828283f6ef22a3ede8675.jpg,5.6,800,100,12:12:46
+1.0,2013-02-19,2013-02-19 16:27:46,1,1,cae80857216801c220e1567763cd28db.jpg,5.6,800,320,16:27:46
+1.0,2013-02-26,2013-02-26 12:09:53,1,1,3421b82b7160dff00e0cd0e5c2e350b4.jpg,5.6,800,200,12:09:53
+1.0,2012-03-20,2012-03-20 09:46:55,0,3,704cbf8faf03c38fc25c3a3ce1053f1c.jpg,5.6,800,400,09:46:55
+1.0,2012-03-20,2012-03-20 15:25:05,0,3,fe3d67f0a119699b4caecfa1dc10b850.jpg,5.6,800,400,15:25:05
+1.0,2013-02-26,2013-02-26 12:07:02,1,1,792d05e603617373e567ce88a34251a9.jpg,5.6,800,160,12:07:02
+1.0,2013-01-29,2013-01-29 12:08:18,1,1,f3d9134e46bb8a89b5b409095d0fa16e.jpg,5.6,800,100,12:08:18
+1.0,2012-03-08,2012-03-08 10:43:59,0,3,311201d847a0b0d2769585db8e8fdc98.jpg,5.6,800,400,10:43:59
+1.0,2013-01-29,2013-01-29 16:27:22,1,1,ecd5dbf90903dddef93ccd50fb2bd6c5.jpg,5.6,800,250,16:27:22
+1.0,2012-04-03,2012-04-03 09:41:06,0,3,60739c30b8814c30386d689193888656.jpg,5.6,800,400,09:41:06
+1.0,2013-01-29,2013-01-29 12:07:37,1,1,93d389fb2325a080eae6b61487e8fed2.jpg,5.6,800,100,12:07:37
+1.0,2013-02-13,2013-02-13 12:56:52,1,1,518aa5c5a83961155e5e168276a81b67.jpg,5.6,800,100,12:56:52
+1.0,2012-03-22,2012-03-22 11:08:40,0,3,1606a872dda78d08555762de7bc1136c.jpg,5.6,800,400,11:08:40
+1.0,2013-02-26,2013-02-26 12:16:23,1,1,31fc45a8424e1e552b26149037114570.jpg,5.6,800,160,12:16:23
+1.0,2012-03-20,2012-03-20 09:40:14,0,3,7204d0e4c44c35cd56787985a9280988.jpg,5.6,800,400,09:40:14
+1.0,2013-01-29,2013-01-29 16:21:17,1,1,851fca96caba79938d450056fea9d833.jpg,5.6,800,200,16:21:17
+1.0,2012-04-03,2012-04-03 09:44:58,0,3,9065f36f8d7e334b953ff1bb7372cb04.jpg,5.6,800,400,09:44:58
+1.0,2012-03-06,2012-03-06 13:29:29,0,3,369a257a758e5c76799457d24ef7702b.jpg,5.6,800,400,13:29:29
+1.0,2012-03-20,2012-03-20 15:23:13,0,3,b8333760581db7628fde15ca237e9f48.jpg,5.6,800,400,15:23:13
+1.0,2013-01-28,2013-01-28 12:41:21,1,1,d883263a50d485ccc3656fd09d3639b9.jpg,5.6,800,100,12:41:21
+1.0,2012-04-03,2012-04-03 11:11:21,0,3,8be21b6717fee43ef0417d17eed1b5b7.jpg,5.6,800,400,11:11:21
+1.0,2013-01-28,2013-01-28 12:33:03,1,1,7a70b95100f4761fc0632b74f82ddc7e.jpg,5.6,800,100,12:33:03
+1.0,2012-04-03,2012-04-03 11:09:58,0,3,2bc569b49e0bff4a3c5bfc85b2e15505.jpg,5.6,800,400,11:09:58
+1.0,2013-01-28,2013-01-28 12:38:34,1,1,7c7385b9d1710ae7cdcacd56f71182b7.jpg,5.6,800,100,12:38:34
+1.0,2013-01-29,2013-01-29 12:12:07,1,1,03189dea9e93ec2e2484265de2ee6858.jpg,5.6,800,100,12:12:07
+1.0,2012-03-22,2012-03-22 11:06:42,0,3,2b4d4a052cb67dc21ddd9b79dd33b168.jpg,5.6,800,400,11:06:42
+1.0,2013-02-13,2013-02-13 13:16:43,1,1,9b771c58696513ea67433007bc6ad810.jpg,5.6,800,100,13:16:43
+1.0,2012-03-20,2012-03-20 12:28:27,0,3,dc1a162c8f52b3a915bbc4d45c995946.jpg,5.6,800,400,12:28:27
+1.0,2013-01-28,2013-01-28 12:42:32,1,1,8cad3d970b96fb94c437bb3e990bde36.jpg,5.6,800,100,12:42:32
+1.0,2013-02-26,2013-02-26 12:06:37,1,1,889955a0d61d6f312374fa161480c07c.jpg,5.6,800,200,12:06:37
+1.0,2013-02-26,2013-02-26 12:08:38,1,1,730eb39869da3f10d805b91af512cf57.jpg,5.6,800,200,12:08:38
+1.0,2013-01-28,2013-01-28 12:40:00,1,1,a2cdd2a5e61725c09e3548a23ad10991.jpg,5.6,800,100,12:40:00
+1.0,2013-01-28,2013-01-28 12:33:34,1,1,e080ee8913b05001c7d63556a7a70a8f.jpg,5.6,800,100,12:33:34
+1.0,2013-01-28,2013-01-28 12:42:31,1,1,65694bb0a0a783e66b3f4c97265dd96d.jpg,5.6,800,100,12:42:31
+1.0,2012-04-03,2012-04-03 12:35:01,0,3,0f660dafa187df79e2a012c17e3ee35f.jpg,5.6,800,400,12:35:01
+1.0,2013-01-28,2013-01-28 12:42:22,1,1,dd0631179f27da93c7ee0ef190834770.jpg,5.6,800,100,12:42:22
+1.0,2012-03-20,2012-03-20 11:04:14,0,3,18306284c9d3ea4a96a2b191fa57d68e.jpg,5.6,800,400,11:04:14
+1.0,2013-02-13,2013-02-13 12:34:41,1,1,55fbce8922e5da58f26a0fbfa97f039b.jpg,5.6,800,100,12:34:41
+1.0,2013-01-29,2013-01-29 12:12:59,1,1,0eab6ede51df97d781f9814b735ef9f4.jpg,5.6,800,100,12:12:59
+1.0,2013-01-29,2013-01-29 16:23:10,1,1,275232a47394904d0b801fe5989c40cd.jpg,5.6,800,320,16:23:10
+1.0,2012-04-03,2012-04-03 11:07:00,0,3,7df13b52ebe024569a4d3b21cddbc2d6.jpg,5.6,800,400,11:07:00
+1.0,2012-04-03,2012-04-03 09:39:44,0,3,fd46c12b40cf1c253d9f92bbea16c896.jpg,5.6,800,400,09:39:44
+1.0,2012-03-06,2012-03-06 13:27:42,0,3,75122b1994addd339fdb1e8fbdf1618d.jpg,5.6,800,400,13:27:42
+1.0,2012-04-03,2012-04-03 09:41:00,0,3,8a36cc3c0257037bb060457b20ad7a64.jpg,5.6,800,400,09:41:00
+1.0,2012-03-20,2012-03-20 09:43:45,0,3,a7bb9103fa76fa07e6a57e28c17f3d53.jpg,5.6,800,400,09:43:45
+1.0,2012-03-06,2012-03-06 13:31:20,0,3,48b053a46146b066ccd5cac149996d07.jpg,5.6,800,400,13:31:20
+1.0,2013-02-26,2013-02-26 12:42:07,1,1,95ccba647f97c149dd75b72037b590c5.jpg,5.6,800,200,12:42:07
+1.0,2012-03-22,2012-03-22 11:04:54,0,3,199fa8d3e6822337ebbb78a487b38486.jpg,5.6,800,400,11:04:54
+1.0,2013-02-13,2013-02-13 12:12:48,1,1,b34ec7cdf54eb7626fab38077b839edc.jpg,5.6,800,100,12:12:48
+1.0,2012-03-22,2012-03-22 11:08:35,0,3,2c5ffb832a531e04b663f12f283c5847.jpg,5.6,800,400,11:08:35
+1.0,2013-02-26,2013-02-26 12:09:34,1,1,ccdc91514442aaba47aeea9be94654b0.jpg,5.6,800,200,12:09:34
+1.0,2012-03-20,2012-03-20 15:23:59,0,3,884b039275455bd8048f3eb8023d2dd6.jpg,5.6,800,400,15:23:59
+1.0,2012-02-23,2012-02-23 14:56:13,0,3,628347812bc37a05c3df5ecc098d8d0e.jpg,5.6,800,400,14:56:13
+1.0,2012-04-03,2012-04-03 09:39:33,0,3,5ddd5110d39140ea527e073c55d18a82.jpg,5.6,800,400,09:39:33
+1.0,2012-03-22,2012-03-22 11:06:24,0,3,6d2869eb334e7ceb8627c1d997b2d2fc.jpg,5.6,800,400,11:06:24
+1.0,2012-04-03,2012-04-03 11:07:46,0,3,724fbc7789b3bbc5e2b780324489540f.jpg,5.6,800,400,11:07:46
+1.0,2012-04-03,2012-04-03 09:44:15,0,3,045628db84dd2b84083981192cf01a02.jpg,5.6,800,400,09:44:15
+1.0,2012-04-03,2012-04-03 11:11:49,0,3,338ed185584f1f780de0db166a4ae88c.jpg,5.6,800,400,11:11:49
+1.0,2013-02-20,2013-02-20 12:09:32,1,1,c29d207fc93b85c0176e9199257d23f6.jpg,5.6,800,160,12:09:32
+1.0,2013-02-13,2013-02-13 12:16:25,1,1,137b65c387db85bde5e14a1a410bb93b.jpg,5.6,800,100,12:16:25
+1.0,2012-04-03,2012-04-03 09:35:19,0,3,860a339d97aa74c72ad34a86ed5594f2.jpg,5.6,800,400,09:35:19
+1.0,2013-01-29,2013-01-29 12:18:09,1,1,561de5bc7cfebadc7123c1c335450bb9.jpg,5.6,800,100,12:18:09
+1.0,2013-01-29,2013-01-29 12:15:44,1,1,4bc92139e3a99d390cb3e332905e05b2.jpg,5.6,800,100,12:15:44
+1.0,2012-02-23,2012-02-23 14:56:50,0,3,69769deb6d228e81e8c4ba48259052ae.jpg,5.6,800,400,14:56:50
+1.0,2012-04-12,2012-04-12 13:58:13,0,3,d910b8cede80fdc23774af2a82b97827.jpg,5.6,800,400,13:58:13
+1.0,2012-03-20,2012-03-20 15:22:56,0,3,9eb80eae734553d5ad1eac3b5598e0e6.jpg,5.6,800,400,15:22:56
+1.0,2012-03-20,2012-03-20 13:58:40,0,3,03b11f1180868612d94dcde5bd758a05.jpg,5.6,800,400,13:58:40
+1.0,2012-03-08,2012-03-08 15:00:59,0,3,a9006df40d235bb6f6d413d19fbe9e05.jpg,5.6,800,400,15:00:59
+1.0,2012-03-06,2012-03-06 13:29:29,0,3,e06b2f61a70fc8713aa8edcf2354c7a7.jpg,5.6,800,400,13:29:29
+1.0,2013-02-13,2013-02-13 13:13:12,1,1,58c6f8299cea05816af54cc977785e01.jpg,5.6,800,100,13:13:12
+1.0,2013-01-28,2013-01-28 12:41:57,1,1,4c85b5a2bbb905727172aa6e74eed15e.jpg,5.6,800,100,12:41:57
+1.0,2013-02-26,2013-02-26 12:18:53,1,1,839f3eda585ab596c4594b1c6a99c5b9.jpg,5.6,800,200,12:18:53
+1.0,2013-02-13,2013-02-13 13:19:43,1,1,5adaf3d3ff46ae521b30c84f502d55ce.jpg,5.6,800,125,13:19:43
+1.0,2013-01-29,2013-01-29 12:33:06,1,1,9ff1a79fd34d87992ea1b1983d9435fe.jpg,5.6,800,100,12:33:06
+1.0,2012-03-13,2012-03-13 11:11:12,0,3,cfc56509436ef21de3ad0d32165e49ce.jpg,5.6,800,400,11:11:12
+1.0,2013-02-13,2013-02-13 13:30:23,1,1,bf65230c900294a448c7e52cd7f10f03.jpg,5.6,800,100,13:30:23
+1.0,2013-01-29,2013-01-29 16:32:53,1,1,e4c3ff620c24a7c4f07d74aa9f8a1b19.jpg,5.6,800,640,16:32:53
+1.0,2013-02-26,2013-02-26 12:17:53,1,1,c4378163419b53371205769950e81fd9.jpg,5.6,800,200,12:17:53
+1.0,2012-03-22,2012-03-22 11:06:34,0,3,4cce8a2d9c9a4787695bf2112af95c89.jpg,5.6,800,400,11:06:34
+1.0,2013-02-20,2013-02-20 12:34:20,1,1,6ec9f79275230d8781fa5fe0837ad857.jpg,5.6,800,100,12:34:20
+1.0,2013-01-28,2013-01-28 12:38:47,1,1,562a534afc215bef645f3ab97b4b2433.jpg,5.6,800,100,12:38:47
+1.0,2012-03-20,2012-03-20 12:34:28,0,3,f9bad55116aa76131af2ea483a171cd5.jpg,5.6,800,400,12:34:28
+1.0,2013-02-26,2013-02-26 12:09:44,1,1,8910b866141b5494cfc16f3c49892068.jpg,5.6,800,200,12:09:44
+1.0,2013-01-29,2013-01-29 12:11:58,1,1,e1aaa58b054de947294c99a9ad6e8582.jpg,5.6,800,100,12:11:58
+1.0,2012-03-08,2012-03-08 10:43:50,0,3,8d7c3a1b9b39b4c8d00d5818fb3cf569.jpg,5.6,800,400,10:43:50
+1.0,2012-03-20,2012-03-20 11:09:17,0,3,b7024fe08b30af43f2aa04d32cdf0b5f.jpg,5.6,800,400,11:09:17
+1.0,2013-02-20,2013-02-20 12:44:09,1,1,c06d983615132f476567b7bf769083c5.jpg,5.6,800,100,12:44:09
+1.0,2012-03-20,2012-03-20 12:30:20,0,3,4af16fba9ca8561800ddc5e47d3b252a.jpg,5.6,800,400,12:30:20
+1.0,2013-02-13,2013-02-13 12:19:51,1,1,f87024e0b35761054457fdb5cd4c70c6.jpg,5.6,800,100,12:19:51
+1.0,2012-03-08,2012-03-08 12:10:09,0,3,b558882de098981098bb3a5f3fbfd437.jpg,5.6,800,400,12:10:09
+1.0,2013-02-26,2013-02-26 12:09:52,1,1,7f64f3241d600a595b27e3d5ac46e76b.jpg,5.6,800,200,12:09:52
+1.0,2012-03-20,2012-03-20 13:55:43,0,3,a3f7f8e01cb967570caff603107207c8.jpg,5.6,800,400,13:55:43
+1.0,2012-03-20,2012-03-20 13:58:00,0,3,b7c0ba91c9998993678ab8fbc0e1b4e9.jpg,5.6,800,400,13:58:00
+1.0,2012-03-20,2012-03-20 09:47:21,0,3,81d4565e79a94dc2b07040a8b107eae8.jpg,5.6,800,400,09:47:21
+1.0,2013-02-26,2013-02-26 12:41:07,1,1,4a9873b94521c3872f49953feb53e1c6.jpg,5.6,800,200,12:41:07
+1.0,2013-01-29,2013-01-29 16:33:42,1,1,a8888d407722914a1d8a469442557dc1.jpg,5.6,800,640,16:33:42
+1.0,2012-02-23,2012-02-23 14:54:45,0,3,55a50f668a8501618039641068265130.jpg,5.6,800,400,14:54:45
+1.0,2013-02-20,2013-02-20 12:07:36,1,1,48e67e9f8ce93d27b85f80ce71583fac.jpg,5.6,800,200,12:07:36
+1.0,2013-02-19,2013-02-19 16:28:46,1,1,83e1dea460af8c11c16a21757531257e.jpg,5.6,800,320,16:28:46
+1.0,2012-03-06,2012-03-06 13:28:05,0,3,252373d029757eceed1c64c0d00033d9.jpg,5.6,800,400,13:28:05
+1.0,2012-03-20,2012-03-20 09:43:55,0,3,e1954f9ed790a912d30afc430e702708.jpg,5.6,800,400,09:43:55
+1.0,2012-03-06,2012-03-06 13:32:38,0,3,2b28a02522f4c0dc6b3f8fb1503d9f19.jpg,5.6,800,400,13:32:38
+1.0,2013-01-29,2013-01-29 12:33:56,1,1,1d2b8d2673912c3793e098af6ff476aa.jpg,5.6,800,100,12:33:56
+1.0,2012-04-03,2012-04-03 11:08:30,0,3,ef08b29dc0572dd21c4db526f91979f8.jpg,5.6,800,400,11:08:30
+1.0,2013-02-19,2013-02-19 16:22:38,1,1,db4580082fe6458c9e613202771f08ec.jpg,5.6,800,320,16:22:38
+1.0,2012-03-22,2012-03-22 11:09:50,0,3,b7109d361ea53656d781e19da4315760.jpg,5.6,800,400,11:09:50
+1.0,2012-03-20,2012-03-20 09:45:32,0,3,a19df444eea79ddfd003dbb19101aa3b.jpg,5.6,800,400,09:45:32
+1.0,2012-03-06,2012-03-06 13:32:36,0,3,67f37c9d9c3b90e2250be55ef05a2c31.jpg,5.6,800,400,13:32:36
+1.0,2013-02-26,2013-02-26 12:17:25,1,1,ff3889ffcd017550c99b63e80521f7aa.jpg,5.6,800,200,12:17:25
+1.0,2013-02-13,2013-02-13 13:00:57,1,1,eef198c764c0fbbea26c0639b2664e15.jpg,5.6,800,100,13:00:57
+1.0,2012-04-03,2012-04-03 09:44:39,0,3,75c146f388638beaf24d9bf3bff9bf93.jpg,5.6,800,400,09:44:39
+1.0,2013-01-28,2013-01-28 12:37:57,1,1,b76f2b62e68509edb95c1f8a38fe979c.jpg,5.6,800,100,12:37:57
+1.0,2013-01-28,2013-01-28 12:39:01,1,1,68704e63c51d7a63ad11063bedf6bdbc.jpg,5.6,800,100,12:39:01
+1.0,2013-02-19,2013-02-19 16:28:50,1,1,12d249258ffcf64564fa89f46391d59e.jpg,5.6,800,320,16:28:50
+1.0,2013-02-20,2013-02-20 12:22:26,1,1,d8994e0b341db1261173fc3c885b16ff.jpg,5.6,800,100,12:22:26
+1.0,2012-03-20,2012-03-20 15:23:13,0,3,235494d3aade5ac0ce548733a7d83e64.jpg,5.6,800,400,15:23:13
+1.0,2013-02-19,2013-02-19 16:26:05,1,1,bc2e65da4f90503ef49a558376ed9194.jpg,5.6,800,320,16:26:05
+1.0,2012-02-23,2012-02-23 14:54:40,0,3,b8b508c2841a042dd73aa06a4c06e18f.jpg,5.6,800,400,14:54:40
+1.0,2013-02-13,2013-02-13 12:54:50,1,1,3fbbe5c41401a9be2a6d29c32b6e4bbd.jpg,5.6,800,100,12:54:50
+1.0,2012-03-20,2012-03-20 12:32:05,0,3,79bac850e61e52fadfb097ef9e9ee3a5.jpg,5.6,800,400,12:32:05
+1.0,2012-04-03,2012-04-03 12:31:29,0,3,857e7f8777ddd0997b81e21e26c58ca6.jpg,5.6,800,400,12:31:29
+1.0,2012-04-03,2012-04-03 09:37:52,0,3,611f95dda3a587d0ad11b80b1d3c3dc5.jpg,5.6,800,400,09:37:52
+1.0,2013-02-26,2013-02-26 12:12:45,1,1,da55f9e77964c85eb16b8864d906777f.jpg,5.6,800,160,12:12:45
+1.0,2013-01-28,2013-01-28 12:42:10,1,1,a2e547e1ed4fb2cbae54df70cbdc79b7.jpg,5.6,800,100,12:42:10
+1.0,2013-02-13,2013-02-13 12:32:19,1,1,0b26b776277e49c2914741db8800a79e.jpg,5.6,800,100,12:32:19
+1.0,2012-03-20,2012-03-20 12:30:45,0,3,7573b06571bfaa80092522dbce98b1db.jpg,5.6,800,400,12:30:45
+1.0,2012-04-03,2012-04-03 11:05:43,0,3,0f21ed90fa2a7cc10fd6b9b1926c0749.jpg,5.6,800,400,11:05:43
+1.0,2013-01-29,2013-01-29 16:31:26,1,1,4f29cd3d29c4b636195fe570a88321f7.jpg,5.6,800,320,16:31:26
+1.0,2012-03-22,2012-03-22 11:10:24,0,3,6dc2692356055a73a7b5313077461139.jpg,5.6,800,400,11:10:24
+1.0,2012-04-03,2012-04-03 11:10:16,0,3,f85b87731b4274b46299ff80de73bbe1.jpg,5.6,800,400,11:10:16
+1.0,2012-04-03,2012-04-03 09:38:04,0,3,ce9fb0eda4dc01b74c06f60bb9c09723.jpg,5.6,800,400,09:38:04
+1.0,2012-03-20,2012-03-20 09:42:04,0,3,5b9a0ddeb40fc0f351e4321b5adc4c94.jpg,5.6,800,400,09:42:04
+1.0,2013-02-19,2013-02-19 16:28:50,1,1,a926328df07967390570b30825e8b360.jpg,5.6,800,320,16:28:50
+1.0,2012-04-03,2012-04-03 09:37:48,0,3,f143e66172dacf152c9a0d842bad951e.jpg,5.6,800,400,09:37:48
+1.0,2013-02-20,2013-02-20 12:11:02,1,1,a616fc6ce217dd207449c546853dc16a.jpg,5.6,800,160,12:11:02
+1.0,2013-01-29,2013-01-29 12:14:59,1,1,761dc670e9b289596064373736f0b4dd.jpg,5.6,800,100,12:14:59
+1.0,2012-03-13,2012-03-13 11:08:59,0,3,3fe496f873a2b4c9ad8a8c551f27b856.jpg,5.6,800,400,11:08:59
+1.0,2012-03-08,2012-03-08 14:57:17,0,3,fcae45f168912bdc4fd34a22cd801e13.jpg,5.6,800,400,14:57:17
+1.0,2013-01-29,2013-01-29 12:30:49,1,1,c9a28a193c589dde2c6a07750a23805e.jpg,5.6,800,100,12:30:49
+1.0,2012-04-03,2012-04-03 09:36:24,0,3,efd0d4c0f9812d60833133f0c22b0f21.jpg,5.6,800,400,09:36:24
+1.0,2012-03-20,2012-03-20 15:24:06,0,3,0c6bd9f8ca6a2a6d5c530af729fe178f.jpg,5.6,800,400,15:24:06
+1.0,2013-02-13,2013-02-13 13:23:17,1,1,e730b7b1e14c162f843df5cd71f01816.jpg,5.6,800,100,13:23:17
+1.0,2012-03-22,2012-03-22 11:10:55,0,3,47fc05827f01ed84baa08cba8b449150.jpg,5.6,800,400,11:10:55
+1.0,2013-02-20,2013-02-20 12:08:20,1,1,b4b0a47569353cf1eb1c7f21a5ced09c.jpg,5.6,800,250,12:08:20
+1.0,2013-02-20,2013-02-20 12:09:34,1,1,70855dd2ad72fd3da50662e4c680b372.jpg,5.6,800,160,12:09:34
+1.0,2012-03-20,2012-03-20 13:56:27,0,3,c3f019d750c64d183b1f9a0be0986104.jpg,5.6,800,400,13:56:27
+1.0,2013-01-29,2013-01-29 16:28:52,1,1,52151bf7f7d8936d9f41ceff4eb309df.jpg,5.6,800,250,16:28:52
+1.0,2012-04-03,2012-04-03 11:12:37,0,3,b4d932f1af3c834abd86a21bff6e1f9a.jpg,5.6,800,400,11:12:37
+1.0,2012-04-03,2012-04-03 09:37:26,0,3,068936d646245d382ca17b22f66d8d19.jpg,5.6,800,400,09:37:26
+1.0,2013-02-26,2013-02-26 12:08:14,1,1,d5f4d22e2e88e498c0cafec6e66e89c0.jpg,5.6,800,200,12:08:14
+1.0,2012-04-03,2012-04-03 11:08:30,0,3,be9b3b96029e1c8783cd075d78c62bf5.jpg,5.6,800,400,11:08:30
+1.0,2013-01-29,2013-01-29 12:33:13,1,1,5e356454ad01271bda75c3ad3e8ff6a1.jpg,5.6,800,100,12:33:13
+1.0,2013-02-19,2013-02-19 16:28:52,1,1,2266f28acab4b7ffe12ea7dcf2249bf7.jpg,5.6,800,320,16:28:52
+1.0,2012-03-13,2012-03-13 11:11:11,0,3,55c91b6d006c05ee7615c4904a580a06.jpg,5.6,800,400,11:11:11
+1.0,2012-03-20,2012-03-20 13:56:15,0,3,b019075f4927211ffc22dd1fd55c8a74.jpg,5.6,800,400,13:56:15
+1.0,2013-01-28,2013-01-28 12:38:24,1,1,4b4e7caa145b780c2f142c867e894746.jpg,5.6,800,100,12:38:24
+1.0,2013-01-28,2013-01-28 12:33:26,1,1,d04f48a61ca2b6be81fc9a3962c84469.jpg,5.6,800,100,12:33:26
+1.0,2013-02-20,2013-02-20 12:08:04,1,1,acf7a0615dccc4b9ac3a5589e8840e24.jpg,5.6,800,160,12:08:04
+1.0,2012-03-06,2012-03-06 13:27:44,0,3,fd451e5a4421dcb87b1e4f2d48fbe050.jpg,5.6,800,400,13:27:44
+1.0,2012-04-12,2012-04-12 14:00:58,0,3,3a62d133dc06ee7f9efde6dea9146568.jpg,5.6,800,400,14:00:58
+1.0,2012-04-03,2012-04-03 09:39:33,0,3,ef9720e65a2b8e70a6a12e0c85788f82.jpg,5.6,800,400,09:39:33
+1.0,2013-02-20,2013-02-20 12:06:04,1,1,93c672f3497006a2ed2655c23b88be53.jpg,5.6,800,160,12:06:04
+1.0,2013-02-20,2013-02-20 12:04:20,1,1,506b2559491ef01116db60eae2e552a4.jpg,5.6,800,200,12:04:20
+1.0,2012-03-06,2012-03-06 13:31:27,0,3,3951307937ba542ebfea98e3c1907157.jpg,5.6,800,400,13:31:27
+1.0,2012-03-08,2012-03-08 10:46:21,0,3,3ff751cab9947e79d462cc2cbadb6caf.jpg,5.6,800,400,10:46:21
+1.0,2013-02-26,2013-02-26 12:11:02,1,1,520d353224cefbba275fc84336ba38cc.jpg,5.6,800,200,12:11:02
+1.0,2013-01-29,2013-01-29 12:32:34,1,1,7b322e56dc81dbcdcf7ec0e9206362dc.jpg,5.6,800,100,12:32:34
+1.0,2013-01-29,2013-01-29 16:24:49,1,1,b2d0070f66e6e6739bffa06a2b415c90.jpg,5.6,800,500,16:24:49
+1.0,2012-03-08,2012-03-08 15:01:03,0,3,9aa777e186a063bf7d3722fd9ece3c3f.jpg,5.6,800,400,15:01:03
+1.0,2013-02-20,2013-02-20 12:10:24,1,1,c153d0fda3bfcf58098946456c77d0e2.jpg,5.6,800,160,12:10:24
+1.0,2012-04-17,2012-04-17 12:28:37,0,3,d049044f72cf8bcc47260b2e3b3b7a7d.jpg,5.6,800,400,12:28:37
+1.0,2013-02-26,2013-02-26 12:21:21,1,1,91701bdc174a864557b6993615cd9114.jpg,5.6,800,200,12:21:21
+1.0,2012-03-20,2012-03-20 11:06:32,0,3,389c0adeeaa24a7aad0e0fa8a52e1506.jpg,5.6,800,400,11:06:32
+1.0,2012-03-22,2012-03-22 11:06:33,0,3,c44c7301188b05565a012ee6b2537b52.jpg,5.6,800,400,11:06:33
+1.0,2012-03-22,2012-03-22 13:57:58,0,3,269ec4848d3c7c7c3b6cff3d55f3ff31.jpg,5.6,800,400,13:57:58
+1.0,2013-01-29,2013-01-29 16:32:36,1,1,b5893a2a424d1faae6b9098fa3e34153.jpg,5.6,800,320,16:32:36
+1.0,2012-03-20,2012-03-20 13:59:18,0,3,bb7cd196a695fdce3f28af674011da37.jpg,5.6,800,400,13:59:18
+1.0,2012-03-20,2012-03-20 11:07:05,0,3,f263270abe546ec3a74c3b4b03226580.jpg,5.6,800,400,11:07:05
+1.0,2012-03-20,2012-03-20 09:44:26,0,3,1863f289119aa441aafffe20290d06e5.jpg,5.6,800,400,09:44:26
+1.0,2012-04-03,2012-04-03 11:11:11,0,3,19c2c21634e5029423653b0903db7c1a.jpg,5.6,800,400,11:11:11
+1.0,2013-02-26,2013-02-26 12:17:21,1,1,f4d65572f46e196b3198817bd63b6540.jpg,5.6,800,200,12:17:21
+1.0,2013-01-29,2013-01-29 12:09:03,1,1,916828084289b46de77dd0fd3b6cae7b.jpg,5.6,800,100,12:09:03
+1.0,2013-02-20,2013-02-20 12:22:02,1,1,bbcb068db48bb70ca270cb3dd708c2d4.jpg,5.6,800,100,12:22:02
+1.0,2012-03-08,2012-03-08 10:48:16,0,3,d4f173d6483c07f9e759f2ce231ac9fc.jpg,5.6,800,400,10:48:16
+1.0,2012-03-22,2012-03-22 11:08:19,0,3,8454b44561b69c5e55c0fd9ab3c26c19.jpg,5.6,800,400,11:08:19
+1.0,2013-02-20,2013-02-20 12:09:53,1,1,f25231a3d494fdec84883b80a8ac46c2.jpg,5.6,800,160,12:09:53
+1.0,2012-04-03,2012-04-03 11:08:35,0,3,fbea964d069c1de00e16af5bcaf936e0.jpg,5.6,800,400,11:08:35
+1.0,2012-03-20,2012-03-20 12:33:50,0,3,04c3a1bd0f47d31e408162ec07c53699.jpg,5.6,800,400,12:33:50
+1.0,2013-02-26,2013-02-26 12:44:33,1,1,dc744bde7db5478aa7ab54a2644d06a8.jpg,5.6,800,200,12:44:33
+1.0,2012-03-22,2012-03-22 11:09:39,0,3,0c25f31fcebb44c24f52881cf292c5f9.jpg,5.6,800,400,11:09:39
+1.0,2013-01-28,2013-01-28 12:36:05,1,1,2cae6d896958857f3d33fc8edd27fbf6.jpg,5.6,800,100,12:36:05
+1.0,2013-02-13,2013-02-13 12:14:29,1,1,9cc894c4f51580bfe465f15cd330ffda.jpg,5.6,800,100,12:14:29
+1.0,2012-04-03,2012-04-03 09:35:10,0,3,c6a7081d8b4c09f5318df253e923f362.jpg,5.6,800,400,09:35:10
+1.0,2012-03-20,2012-03-20 09:42:27,0,3,b06608a67a126b033847fea02f5cf87d.jpg,5.6,800,400,09:42:27
+1.0,2013-01-28,2013-01-28 12:40:59,1,1,ab9cb9950707890736be14d4da9bbbf5.jpg,5.6,800,100,12:40:59
+1.0,2013-01-28,2013-01-28 12:41:38,1,1,7155f78ce167048b8fcaf344f1e346ef.jpg,5.6,800,100,12:41:38
+1.0,2012-03-20,2012-03-20 13:59:20,0,3,9404844ef8fdf043f7ce4ec391c56dcf.jpg,5.6,800,400,13:59:20
+1.0,2012-03-22,2012-03-22 11:07:47,0,3,0f3fa54ba8d6aa68faa881bf98b8a941.jpg,5.6,800,400,11:07:47
+1.0,2012-03-20,2012-03-20 13:58:41,0,3,60633d5394940ba10d95afb205c0dfcc.jpg,5.6,800,400,13:58:41
+1.0,2013-02-13,2013-02-13 12:53:52,1,1,64745d9bcd8398903afc7bc1962f9f75.jpg,5.6,800,100,12:53:52
+1.0,2013-02-20,2013-02-20 12:44:47,1,1,1cfd1e7898ab96bfc168baeb3c3f1ee6.jpg,5.6,800,100,12:44:47
+1.0,2013-01-28,2013-01-28 12:37:47,1,1,a969e2fc53daa2989cbc06684c9abe56.jpg,5.6,800,100,12:37:47
+1.0,2012-04-03,2012-04-03 11:08:48,0,3,56eaec2f7a46de8339153d5f4a44c24d.jpg,5.6,800,400,11:08:48
+1.0,2013-01-29,2013-01-29 16:34:01,1,1,1c449259c588c44b2b197036b81949dd.jpg,5.6,800,800,16:34:01
+1.0,2012-03-20,2012-03-20 13:59:32,0,3,8d0697621a210dec0d70edb251428b48.jpg,5.6,800,400,13:59:32
+1.0,2012-04-03,2012-04-03 11:07:59,0,3,34b781551c93058b50a7495d3e4c967b.jpg,5.6,800,400,11:07:59
+1.0,2012-03-20,2012-03-20 15:25:08,0,3,0d50e6ea27ed9a8bdd4f629e2743cae1.jpg,5.6,800,400,15:25:08
+1.0,2012-03-20,2012-03-20 12:29:51,0,3,fa75bc9ea6c4cd74d216b4df56959c24.jpg,5.6,800,400,12:29:51
+1.0,2012-03-06,2012-03-06 13:30:51,0,3,3b79ca9728c72c432e8c5d36413cc0b8.jpg,5.6,800,400,13:30:51
+1.0,2012-03-08,2012-03-08 12:13:20,0,3,8e370eeca840e335e566af5b4d6d1d41.jpg,5.6,800,400,12:13:20
+1.0,2013-01-28,2013-01-28 12:42:10,1,1,bcd709dd9b01633c02271553df79798a.jpg,5.6,800,100,12:42:10
+1.0,2012-03-22,2012-03-22 11:06:27,0,3,7a341b017a954e3c0775052b439b83e7.jpg,5.6,800,400,11:06:27
+1.0,2013-02-20,2013-02-20 12:16:39,1,1,a3d53a3cc0b55e88dbcb4c67216219b0.jpg,5.6,800,125,12:16:39
+1.0,2012-04-03,2012-04-03 12:26:58,0,3,d4ce819a423a5bd24699dd43c3016c76.jpg,5.6,800,400,12:26:58
+1.0,2013-02-26,2013-02-26 12:07:15,1,1,ba6f9a7992a146b6fd690d2a68a3fc16.jpg,5.6,800,200,12:07:15
+1.0,2013-01-28,2013-01-28 12:41:25,1,1,72490919259b64dd5ef07f9b8b1a784b.jpg,5.6,800,100,12:41:25
+1.0,2012-03-20,2012-03-20 13:58:04,0,3,c05ea15b7187117903c047d212682c1c.jpg,5.6,800,400,13:58:04
+1.0,2013-02-26,2013-02-26 12:19:02,1,1,a677ae0901b8c5991f92616d06625357.jpg,5.6,800,200,12:19:02
+1.0,2012-03-20,2012-03-20 15:24:31,0,3,3309d37ffb62ecb8c7e86a27142836a2.jpg,5.6,800,400,15:24:31
+1.0,2013-02-19,2013-02-19 16:32:47,1,1,d6990b759614b9d2841ea704f25c4b7f.jpg,5.6,800,320,16:32:47
+1.0,2013-01-28,2013-01-28 12:36:04,1,1,90d7503aba357f0fedc69e00135a49f1.jpg,5.6,800,100,12:36:04
+1.0,2012-04-03,2012-04-03 11:07:51,0,3,7eb00a632add3f83905d2000e2d21dbf.jpg,5.6,800,400,11:07:51
+1.0,2012-04-03,2012-04-03 12:34:35,0,3,80b7fc04de300a06f846865c430aa86d.jpg,5.6,800,400,12:34:35
+1.0,2013-01-28,2013-01-28 12:38:26,1,1,4a1b3e3ad0631a7fb37c88c6f279a97d.jpg,5.6,800,100,12:38:26
+1.0,2013-01-28,2013-01-28 12:35:31,1,1,f4cb0d54c2abfd40f0b4cfd3a578a65e.jpg,5.6,800,100,12:35:31
+1.0,2013-02-19,2013-02-19 16:18:08,1,1,d831981ca8d132ca822625e8db9c91a2.jpg,5.6,800,320,16:18:08
+1.0,2013-01-29,2013-01-29 12:09:17,1,1,b7a8d7a28f2a5cdf69bcb0031b341812.jpg,5.6,800,100,12:09:17
+1.0,2012-03-20,2012-03-20 11:07:03,0,3,96b2bdb59366343d25cf48c801092f2f.jpg,5.6,800,400,11:07:03
+1.0,2013-01-28,2013-01-28 12:33:03,1,1,6a845ba0434a603cd2ef1d7fbbaa0131.jpg,5.6,800,100,12:33:03
+1.0,2013-02-20,2013-02-20 12:14:11,1,1,6dc3fcf9a9f3b74d252ea255cb4c64da.jpg,5.6,800,160,12:14:11
+1.0,2012-03-22,2012-03-22 11:06:37,0,3,92de7d962b28341ab8268e47156d462b.jpg,5.6,800,400,11:06:37
+1.0,2012-03-20,2012-03-20 12:33:51,0,3,9f446359cfd6a9ce5fad485306a18a91.jpg,5.6,800,400,12:33:51
+1.0,2013-02-26,2013-02-26 12:13:26,1,1,8631cfcd0e9015ad8abbabe3da1e6064.jpg,5.6,800,160,12:13:26
+1.0,2012-03-20,2012-03-20 12:29:20,0,3,9f087de53e76738f5b8e703c038c9457.jpg,5.6,800,400,12:29:20
+1.0,2013-02-19,2013-02-19 16:26:15,1,1,d4a0df533fe04f3734f5e4855ecb7d0a.jpg,5.6,800,500,16:26:15
+1.0,2012-04-03,2012-04-03 11:09:09,0,3,82a9f90e17468ab1cf04b49c88417279.jpg,5.6,800,400,11:09:09
+1.0,2013-02-20,2013-02-20 12:35:56,1,1,46bbc8784b943d69fda1d491377c04a1.jpg,5.6,800,100,12:35:56
+1.0,2013-02-26,2013-02-26 12:08:12,1,1,f653005a5d2ca168d0d7304d8f27e523.jpg,5.6,800,200,12:08:12
+1.0,2013-01-29,2013-01-29 16:25:23,1,1,fe6ba0bf59bb2dc323a54293e1f668ed.jpg,5.6,800,400,16:25:23
+1.0,2012-04-03,2012-04-03 11:12:31,0,3,38926c8ee16cc2f55f5b4c26886ce09b.jpg,5.6,800,400,11:12:31
+1.0,2013-02-13,2013-02-13 12:00:21,1,1,b7c762b70319281f46ae520ecd69d4d8.jpg,5.6,800,100,12:00:21
+1.0,2012-03-20,2012-03-20 12:34:25,0,3,a8652707ecdc2e581326ad4456192d9a.jpg,5.6,800,400,12:34:25
+1.0,2012-03-06,2012-03-06 13:30:15,0,3,d24c7c35e9c59297353d925ab8403e00.jpg,5.6,800,400,13:30:15
+1.0,2012-02-23,2012-02-23 14:56:08,0,3,a6125c6fe5c1d66cce6812b610e80a29.jpg,5.6,800,400,14:56:08
+1.0,2013-02-19,2013-02-19 16:34:16,1,1,aec2282181976ae76fd47e19ddbc6a5f.jpg,5.6,800,400,16:34:16
+1.0,2012-03-20,2012-03-20 09:42:10,0,3,778d725a3bf457dd3ec5b5b96dca6ec0.jpg,5.6,800,400,09:42:10
+1.0,2013-02-26,2013-02-26 12:17:28,1,1,b4ba8cb31a6287ab791ef73743f93514.jpg,5.6,800,200,12:17:28
+1.0,2012-03-20,2012-03-20 09:45:28,0,3,e867645072cadd1a051d27872f816d96.jpg,5.6,800,400,09:45:28
+1.0,2012-03-22,2012-03-22 11:07:13,0,3,fda8c5b22680c7c71e72ed2bd92e9f51.jpg,5.6,800,400,11:07:13
+1.0,2013-02-26,2013-02-26 12:10:04,1,1,7adf9b5e1e144db4dbd04005302df01e.jpg,5.6,800,200,12:10:04
+1.0,2012-03-20,2012-03-20 13:56:21,0,3,92dc69895978be520fe92f799ad50948.jpg,5.6,800,400,13:56:21
+1.0,2013-02-19,2013-02-19 16:14:24,1,1,1c299edffc293fc9def828f5ea37bf5e.jpg,5.6,800,400,16:14:24
+1.0,2012-04-03,2012-04-03 11:10:00,0,3,01819edd97f84cf2c50f416af260f024.jpg,5.6,800,400,11:10:00
+1.0,2013-02-26,2013-02-26 12:06:31,1,1,b02af51aa49842c3a6edf6c58460fd42.jpg,5.6,800,200,12:06:31
+1.0,2013-01-29,2013-01-29 16:25:51,1,1,ba1dc9ea7bd92016a8d339456db6f4a5.jpg,5.6,800,400,16:25:51
+1.0,2013-01-28,2013-01-28 12:36:14,1,1,8d1a40afda300f8eae98f0f644a6eeab.jpg,5.6,800,100,12:36:14
+1.0,2013-02-19,2013-02-19 16:18:06,1,1,c916282ef75a839840bd74c3bd2c29da.jpg,5.6,800,320,16:18:06
+1.0,2013-02-20,2013-02-20 12:11:01,1,1,cbe8a1ec236f285b9f00f2ded002e20d.jpg,5.6,800,160,12:11:01
+1.0,2012-03-20,2012-03-20 09:46:32,0,3,d57edf18c82433044a04b51b91fd668a.jpg,5.6,800,400,09:46:32
+1.0,2013-01-29,2013-01-29 16:22:11,1,1,28a754c35d5cae644d8f0ea606ada696.jpg,5.6,800,400,16:22:11
+1.0,2013-01-28,2013-01-28 12:35:30,1,1,605ad3b181b6c3271461633aa8d5e36b.jpg,5.6,800,100,12:35:30
+1.0,2013-02-26,2013-02-26 12:07:17,1,1,b28d98e77e99a229a5b956c11e35d369.jpg,5.6,800,200,12:07:17
+1.0,2013-02-20,2013-02-20 12:07:00,1,1,462050b7fa1fa5ca1bb6cae9c94e3050.jpg,5.6,800,200,12:07:00
+1.0,2013-01-28,2013-01-28 12:38:22,1,1,4d519055a9fb86b81a2b72ddf1397997.jpg,5.6,800,100,12:38:22
+1.0,2012-03-13,2012-03-13 11:12:22,0,3,6d67d380ddbf07fe7489c539fb5f284f.jpg,5.6,800,400,11:12:22
+1.0,2012-04-03,2012-04-03 09:37:57,0,3,3ee2acecd7d5fe8b5ea26d48b36bb6f5.jpg,5.6,800,400,09:37:57
+1.0,2012-03-08,2012-03-08 10:45:25,0,3,bfb42b7409d750ef7a00f579479e72d0.jpg,5.6,800,400,10:45:25
+1.0,2012-04-17,2012-04-17 12:30:01,0,3,fa2814878a50a8fecd0bec64030093af.jpg,5.6,800,400,12:30:01
+1.0,2012-03-20,2012-03-20 15:23:07,0,3,b5ff68c67bd36b92058af74d89daa41e.jpg,5.6,800,400,15:23:07
+1.0,2013-01-28,2013-01-28 12:35:30,1,1,522cbec3cc423457c05553c76f600803.jpg,5.6,800,100,12:35:30
+1.0,2013-02-19,2013-02-19 16:27:15,1,1,4fea4953f6d8e961ded67651ebd51a3e.jpg,5.6,800,320,16:27:15
+1.0,2012-04-03,2012-04-03 09:45:04,0,3,2937c62e719991470fce5c21defa9e67.jpg,5.6,800,400,09:45:04
+1.0,2012-03-08,2012-03-08 12:12:30,0,3,938c2dc02104dd63f3d4f34efabbd72c.jpg,5.6,800,400,12:12:30
+1.0,2013-01-28,2013-01-28 12:41:57,1,1,2c3c4e331b52e98d5fef45b3021c3cca.jpg,5.6,800,100,12:41:57
+1.0,2013-01-29,2013-01-29 12:09:08,1,1,44fd5fb810fe3f80cbd10761e7639008.jpg,5.6,800,100,12:09:08
+1.0,2013-01-28,2013-01-28 12:38:21,1,1,c4825629c18365e3edc1814320b73ea3.jpg,5.6,800,100,12:38:21
+1.0,2012-03-08,2012-03-08 10:43:46,0,3,1901f1f72f7ddf971038f94e66a27d05.jpg,5.6,800,400,10:43:46
+1.0,2012-03-22,2012-03-22 11:06:59,0,3,2e207880a0df066727b3751860dafc11.jpg,5.6,800,400,11:06:59
+1.0,2013-02-20,2013-02-20 12:17:40,1,1,c243de450f012be740510908fd88f127.jpg,5.6,800,100,12:17:40
+1.0,2012-03-08,2012-03-08 10:48:19,0,3,1b89eef76548b8d0afd792c3f60a7484.jpg,5.6,800,400,10:48:19
+1.0,2013-02-26,2013-02-26 12:17:53,1,1,73e3bb5a0ef9db40f362f1ddd6699892.jpg,5.6,800,200,12:17:53
+1.0,2013-01-29,2013-01-29 16:34:56,1,1,88ea50d33711cac4010864a4f72de7ee.jpg,5.6,800,320,16:34:56
+1.0,2013-01-28,2013-01-28 12:40:10,1,1,8044b4b58b5087ed1c4e12ae69472f45.jpg,5.6,800,100,12:40:10
+1.0,2013-01-29,2013-01-29 16:31:34,1,1,a956eadef6e7324f841de4bda51428d0.jpg,5.6,800,320,16:31:34
+1.0,2013-01-29,2013-01-29 12:15:04,1,1,54c1dc134f5992a8daad98fde1f7e948.jpg,5.6,800,100,12:15:04
+1.0,2013-01-29,2013-01-29 12:10:38,1,1,f7af95b03b49f97234b0157d8ede05ce.jpg,5.6,800,100,12:10:38
+1.0,2013-01-29,2013-01-29 16:27:01,1,1,db364ebca7c94e7e7dfb4fab2c177a37.jpg,5.6,800,250,16:27:01
+1.0,2012-03-20,2012-03-20 09:46:43,0,3,8cb76898d724303de2dc86c80f27d5ab.jpg,5.6,800,400,09:46:43
+1.0,2013-01-28,2013-01-28 12:38:05,1,1,5bc15e96c886b72e2cab88a2079e3bfa.jpg,5.6,800,100,12:38:05
+1.0,2013-02-20,2013-02-20 12:20:23,1,1,cd64f335fd693703f5cab7a9a5787a0b.jpg,5.6,800,100,12:20:23
+1.0,2012-03-08,2012-03-08 12:12:29,0,3,650c343ceea4b1a47ebc5881d9665a5c.jpg,5.6,800,400,12:12:29
+1.0,2013-01-28,2013-01-28 12:36:14,1,1,424835f97d09b0c36fd02bab72bddfba.jpg,5.6,800,100,12:36:14
+1.0,2012-03-06,2012-03-06 13:27:58,0,3,513b9b86b25f4d4c8043feab5bc4cf7f.jpg,5.6,800,400,13:27:58
+1.0,2012-03-20,2012-03-20 09:45:59,0,3,935ab580f8eb59fb851d14bed80c678b.jpg,5.6,800,400,09:45:59
+1.0,2013-02-13,2013-02-13 13:30:54,1,1,3d83bf62edabe799ff0b94a9b052f84c.jpg,5.6,800,125,13:30:54
+1.0,2013-02-20,2013-02-20 12:34:50,1,1,432a0683def534fe3bf0db959a125da1.jpg,5.6,800,100,12:34:50
+1.0,2012-04-03,2012-04-03 11:09:31,0,3,d5f12fe75ba9be97e9776227c36be434.jpg,5.6,800,400,11:09:31
+1.0,2012-03-22,2012-03-22 13:58:00,0,3,5f9e424ef318a980bb3fb5b8e245c0e4.jpg,5.6,800,400,13:58:00
+1.0,2012-03-22,2012-03-22 11:09:42,0,3,d466001392b6f0669e962292a7754d40.jpg,5.6,800,400,11:09:42
+1.0,2012-03-20,2012-03-20 12:30:02,0,3,6e3f98313f72eda9d17c7e5b64501810.jpg,5.6,800,400,12:30:02
+1.0,2013-01-29,2013-01-29 16:22:56,1,1,3cbc3c6f458a138f56bc6c26e9392624.jpg,5.6,800,400,16:22:56
+1.0,2013-01-29,2013-01-29 12:09:23,1,1,cc0b2783fd4ac6ea09c8bdde74b8bd58.jpg,5.6,800,100,12:09:23
+1.0,2013-02-19,2013-02-19 16:25:18,1,1,36ad8af5dc0819db95e30449ff7ee8c4.jpg,5.6,800,320,16:25:18
+1.0,2013-01-28,2013-01-28 12:38:12,1,1,eb03ac4cbbe30b16764e0f576576e191.jpg,5.6,800,100,12:38:12
+1.0,2013-02-20,2013-02-20 12:10:51,1,1,70e94abd559bce3839edcdd6175053e0.jpg,5.6,800,160,12:10:51
+1.0,2013-02-26,2013-02-26 12:42:08,1,1,54cbd2f4597f8530a737a3fe48228634.jpg,5.6,800,200,12:42:08
+1.0,2013-02-26,2013-02-26 12:09:27,1,1,40d7696174760851e765ebd47499d3d2.jpg,5.6,800,200,12:09:27
+1.0,2012-04-03,2012-04-03 11:09:15,0,3,ab84c677ef12cf48c5d8f45a217b897d.jpg,5.6,800,400,11:09:15
+1.0,2013-01-28,2013-01-28 12:42:02,1,1,6f836887f2e545972e134c45b1b4d399.jpg,5.6,800,100,12:42:02
+1.0,2012-03-20,2012-03-20 12:34:30,0,3,f11f7d9511511a30cf4ee6d891b4aeca.jpg,5.6,800,400,12:34:30
+1.0,2013-01-28,2013-01-28 12:42:18,1,1,d2256cd7e7b46f5615a8640fa6f765b8.jpg,5.6,800,100,12:42:18
+1.0,2013-01-29,2013-01-29 16:30:56,1,1,cef5dea4e5961629e53c98baef979730.jpg,5.6,800,320,16:30:56
+1.0,2012-03-20,2012-03-20 13:56:41,0,3,478f9edce047c70a3ccb45e262fac68f.jpg,5.6,800,400,13:56:41
+1.0,2012-02-23,2012-02-23 14:56:09,0,3,50efb4290af466ed68c538ec643d95d6.jpg,5.6,800,400,14:56:09
+1.0,2013-02-13,2013-02-13 13:19:59,1,1,00705f8a0e1331de1cadbd6326392953.jpg,5.6,800,100,13:19:59
+1.0,2013-01-29,2013-01-29 16:29:39,1,1,78279a3075abb4174aef99c0b45a75c4.jpg,5.6,800,320,16:29:39
+1.0,2012-03-08,2012-03-08 14:54:09,0,3,3874f5f605b4ff405c17093cad4ffe25.jpg,5.6,800,400,14:54:09
+1.0,2012-03-20,2012-03-20 15:23:12,0,3,a379e27840d052f1ab0c03279b6bb0a6.jpg,5.6,800,400,15:23:12
+1.0,2013-02-13,2013-02-13 12:02:05,1,1,c16a5299ae419c02c2cb6fadfa935f78.jpg,5.6,800,100,12:02:05
+1.0,2013-01-29,2013-01-29 12:33:33,1,1,ee1025e487eb3f69e37c04e2e991ff68.jpg,5.6,800,100,12:33:33
+1.0,2013-02-20,2013-02-20 12:35:54,1,1,2d487acd999d29ff727227c297f99431.jpg,5.6,800,100,12:35:54
+1.0,2013-02-20,2013-02-20 12:21:46,1,1,4da679c6b71674efe75858cfd21228fe.jpg,5.6,800,100,12:21:46
+1.0,2012-03-22,2012-03-22 11:07:50,0,3,6c3171cb3563db5bfd95b33086bc22ea.jpg,5.6,800,400,11:07:50
+1.0,2012-02-23,2012-02-23 14:58:29,0,3,1c12a8c338ca292b488edeb26aa184eb.jpg,5.6,800,400,14:58:29
+1.0,2013-02-19,2013-02-19 16:31:50,1,1,4485aa6701aed2bf56c2a4081895521a.jpg,5.6,800,320,16:31:50
+1.0,2013-01-28,2013-01-28 12:40:56,1,1,f0f722e50b8a590359ff0cce0065170b.jpg,5.6,800,100,12:40:56
+1.0,2013-01-29,2013-01-29 12:10:40,1,1,7245ab06049f9db3997673ee0be3bbf1.jpg,5.6,800,100,12:10:40
+1.0,2013-02-13,2013-02-13 13:30:15,1,1,23efc5e728fab6e21f9bb14031676a85.jpg,5.6,800,100,13:30:15
+1.0,2012-03-20,2012-03-20 15:25:09,0,3,562979d1bc13c157b3c5ff4775f063df.jpg,5.6,800,400,15:25:09
+1.0,2012-04-03,2012-04-03 11:06:31,0,3,1e3f1d13e2046b8574d2b98d1c110602.jpg,5.6,800,400,11:06:31
+1.0,2013-01-29,2013-01-29 12:09:09,1,1,e4aad58b6e6bc72923347f1b5492edb8.jpg,5.6,800,100,12:09:09
+1.0,2012-03-22,2012-03-22 14:03:02,0,3,9721ee79834eac73fb7ff875fbbc5438.jpg,5.6,800,400,14:03:02
+1.0,2012-03-08,2012-03-08 14:54:06,0,3,f9b80f6fdeabbba969454545c078ea60.jpg,5.6,800,400,14:54:06
+1.0,2013-01-28,2013-01-28 12:37:50,1,1,2a6708b4b307254c4f30cefa02455a05.jpg,5.6,800,100,12:37:50
+1.0,2013-01-28,2013-01-28 12:33:25,1,1,9316551c7b352c930c10055f02562290.jpg,5.6,800,100,12:33:25
+1.0,2013-02-19,2013-02-19 16:26:49,1,1,c546e263677fdf2305a457a6d1bca58d.jpg,5.6,800,320,16:26:49
+1.0,2012-03-20,2012-03-20 12:30:36,0,3,8d65af38fe15fbf42f1e872c11404f95.jpg,5.6,800,400,12:30:36
+1.0,2013-02-20,2013-02-20 12:39:38,1,1,29a1f6bdc0ca855e293db1d31a6adfc6.jpg,5.6,800,100,12:39:38
+1.0,2012-03-06,2012-03-06 13:32:46,0,3,5d8fc5516b19147f78a53eba9fd13755.jpg,5.6,800,400,13:32:46
+1.0,2013-02-13,2013-02-13 12:21:26,1,1,9522e7a6fa56920d94ed44a606b9e312.jpg,5.6,800,100,12:21:26
+1.0,2012-03-20,2012-03-20 15:24:42,0,3,f617910a29f1648fb26754993e025a38.jpg,5.6,800,400,15:24:42
+1.0,2013-02-26,2013-02-26 12:09:18,1,1,a50c2b70e8e3e75840e11822fb1a663b.jpg,5.6,800,200,12:09:18
+1.0,2013-02-26,2013-02-26 12:09:05,1,1,6eca041c06fcfc7943c0fecfd57a43c2.jpg,5.6,800,200,12:09:05
+1.0,2013-02-13,2013-02-13 12:23:46,1,1,4a575e0016fcc3dd5c5f7f4fbfb3bd03.jpg,5.6,800,100,12:23:46
+1.0,2013-01-28,2013-01-28 12:39:08,1,1,683cad9e2bbe0553a184e90ab7d45011.jpg,5.6,800,100,12:39:08
+1.0,2013-02-13,2013-02-13 12:52:12,1,1,5d6f69a6d0688bcca606b6e0231e1bc0.jpg,5.6,800,100,12:52:12
+1.0,2012-04-03,2012-04-03 11:08:34,0,3,02ad688a6cca3d7bd84014efbe80e587.jpg,5.6,800,400,11:08:34
+1.0,2012-04-03,2012-04-03 09:38:14,0,3,73a4748c6bdfbcc94108379fe9319f25.jpg,5.6,800,400,09:38:14
+1.0,2013-02-19,2013-02-19 16:26:25,1,1,e21ea5dfbcdec96b87c4f8746dd6b9c2.jpg,5.6,800,320,16:26:25
+1.0,2013-02-13,2013-02-13 12:54:52,1,1,97722119c627fe1978d181c4a9ad9abe.jpg,5.6,800,100,12:54:52
+1.0,2013-02-26,2013-02-26 12:15:39,1,1,5d9747430150ee207399cc1857b520b6.jpg,5.6,800,200,12:15:39
+1.0,2012-03-06,2012-03-06 13:27:35,0,3,73338690ef53da6db9776db3077f805c.jpg,5.6,800,400,13:27:35
+1.0,2012-03-20,2012-03-20 15:25:06,0,3,58c5edf755dc5c5ecb65ad724f58d653.jpg,5.6,800,400,15:25:06
+1.0,2013-02-26,2013-02-26 12:30:05,1,1,060f25eb4fcdd70dec8c4ae2985e3c36.jpg,5.6,800,200,12:30:05
+1.0,2012-02-23,2012-02-23 14:56:13,0,3,199d34aa875d1e35a38345b5ab226c2c.jpg,5.6,800,400,14:56:13
+1.0,2013-02-13,2013-02-13 13:22:42,1,1,af79b5d537c9b378de12b244badd026b.jpg,5.6,800,100,13:22:42
+1.0,2012-03-20,2012-03-20 12:36:51,0,3,3e0119282099724955c38742731baa9c.jpg,5.6,800,400,12:36:51
+1.0,2012-04-03,2012-04-03 11:08:37,0,3,c84e35b1fe3e1a78cb9cf6ffb56fc5c0.jpg,5.6,800,400,11:08:37
+1.0,2013-02-20,2013-02-20 12:34:04,1,1,2fc9faeaa6cdf7da47f3e25cd01be329.jpg,5.6,800,100,12:34:04
+1.0,2012-04-03,2012-04-03 11:04:49,0,3,e0a7aad6cb70e1458902956cba2fc564.jpg,5.6,800,400,11:04:49
+1.0,2012-03-06,2012-03-06 13:28:14,0,3,b3e833813dd95ab17cd027a268ad7bc8.jpg,5.6,800,400,13:28:14
+1.0,2013-02-19,2013-02-19 16:16:06,1,1,f47107fc568b50a9cb4d89e7cf8dff6a.jpg,5.6,800,400,16:16:06
+1.0,2013-01-28,2013-01-28 12:34:04,1,1,6c4c1eeeb05c944485c4ec7b6e37a9df.jpg,5.6,800,100,12:34:04
+1.0,2012-03-20,2012-03-20 09:46:36,0,3,a324b6be50ea2dfd0c09b729750f12b2.jpg,5.6,800,400,09:46:36
+1.0,2013-01-29,2013-01-29 12:09:42,1,1,f0b87dca949ad2df6e3e5e85570a7143.jpg,5.6,800,100,12:09:42
+1.0,2013-01-28,2013-01-28 12:33:17,1,1,cd07696f108093ec6b480bd31377ad65.jpg,5.6,800,100,12:33:17
+1.0,2013-02-13,2013-02-13 12:45:39,1,1,604951cb8c23f08c9b03416dd1825ba4.jpg,5.6,800,100,12:45:39
+1.0,2013-01-28,2013-01-28 12:38:03,1,1,b3612a79bb7212c9961f4bd3953b2d44.jpg,5.6,800,100,12:38:03
+1.0,2012-04-03,2012-04-03 09:42:26,0,3,36980c7dee70555b88368d3da8a4d391.jpg,5.6,800,400,09:42:26
+1.0,2012-03-06,2012-03-06 13:27:57,0,3,a31f73112be15d1157f206c620eb7137.jpg,5.6,800,400,13:27:57
+1.0,2013-02-20,2013-02-20 12:32:21,1,1,e24cebd6baae91a3167a6b1e78c9f6a3.jpg,5.6,800,100,12:32:21
+1.0,2013-01-28,2013-01-28 12:35:37,1,1,b2514da7505d98a6cac2183c6d26d5c6.jpg,5.6,800,100,12:35:37
+1.0,2012-04-03,2012-04-03 11:12:40,0,3,b64ba832b8a46435b418a0d5bd251813.jpg,5.6,800,400,11:12:40
+1.0,2012-03-20,2012-03-20 12:28:40,0,3,855a42429ffbcc22157e49a76061618d.jpg,5.6,800,400,12:28:40
+1.0,2012-03-22,2012-03-22 14:00:55,0,3,307d35c81f41a32e5c13a980b5066c55.jpg,5.6,800,400,14:00:55
+1.0,2013-01-29,2013-01-29 12:10:28,1,1,ed266b5a75f15f691feaab3bd8dd5377.jpg,5.6,800,100,12:10:28
+1.0,2012-03-06,2012-03-06 13:29:37,0,3,2dcc3b409c9bd90ed734887ae2ab919e.jpg,5.6,800,400,13:29:37
+1.0,2012-03-22,2012-03-22 14:00:46,0,3,5e3cad7195bab085177eefb29554efbb.jpg,5.6,800,400,14:00:46
+1.0,2012-04-03,2012-04-03 09:37:45,0,3,6fb9b0ea81ff58758006d0c4cb804681.jpg,5.6,800,400,09:37:45
+1.0,2013-01-28,2013-01-28 12:34:20,1,1,9936c9f319652a9786298521002a8fae.jpg,5.6,800,100,12:34:20
+1.0,2012-03-08,2012-03-08 12:12:23,0,3,3d0757a1a7a88dc988fe354226d2b810.jpg,5.6,800,400,12:12:23
+1.0,2012-04-03,2012-04-03 11:08:11,0,3,e474fc9203db29f41796c4898dfafe24.jpg,5.6,800,400,11:08:11
+1.0,2012-03-22,2012-03-22 13:58:30,0,3,25f078928def374cf5c15b674f3161dd.jpg,5.6,800,400,13:58:30
+1.0,2013-02-26,2013-02-26 12:18:13,1,1,80d2d5a7d8de2dc1825633d4989d9f18.jpg,5.6,800,200,12:18:13
+1.0,2013-02-19,2013-02-19 16:22:20,1,1,9e448c47a19d06093a3c42dc82cec5b4.jpg,5.6,800,320,16:22:20
+1.0,2013-02-20,2013-02-20 12:26:20,1,1,a450abfff7115dd8a59249953090ddaa.jpg,5.6,800,100,12:26:20
+1.0,2013-02-20,2013-02-20 12:04:34,1,1,d4421b9c324a684eebfe684a6ae58d82.jpg,5.6,800,200,12:04:34
+1.0,2012-03-08,2012-03-08 14:57:16,0,3,b35ed9733e1c26539b7d1bf2a0673505.jpg,5.6,800,400,14:57:16
+1.0,2012-03-13,2012-03-13 11:11:17,0,3,dace52f26ba3f44dd5f98607bdd7e3f2.jpg,5.6,800,400,11:11:17
+1.0,2012-03-20,2012-03-20 12:29:06,0,3,0418315016ff52490a8968858fec3652.jpg,5.6,800,400,12:29:06
+1.0,2013-02-13,2013-02-13 12:07:21,1,1,613ace115da29254d64a36771da99232.jpg,5.6,800,100,12:07:21
+1.0,2013-02-26,2013-02-26 12:07:55,1,1,a72afb9425f24e48054f99aba55e5a5f.jpg,5.6,800,200,12:07:55
+1.0,2013-02-20,2013-02-20 12:04:41,1,1,cb0cb30e3e1ea1c400f8067fccea4f59.jpg,5.6,800,160,12:04:41
+1.0,2013-01-28,2013-01-28 12:40:23,1,1,4d66d6a5f06e0963d51868096648d598.jpg,5.6,800,100,12:40:23
+1.0,2012-04-03,2012-04-03 11:06:22,0,3,694c36ada8b02ef7c99f9585c694bcf1.jpg,5.6,800,400,11:06:22
+1.0,2013-02-20,2013-02-20 12:17:25,1,1,8d19a6f866e676d40724c01a4102638b.jpg,5.6,800,100,12:17:25
+1.0,2012-04-03,2012-04-03 12:26:53,0,3,3a59d2a5057d5cd45f44411e70431959.jpg,5.6,800,400,12:26:53
+1.0,2013-02-20,2013-02-20 12:12:10,1,1,8b03cccb9f2de4a9b0d6ab13c567227a.jpg,5.6,800,160,12:12:10
+1.0,2012-03-08,2012-03-08 15:00:59,0,3,e60a2f4e3916f41f6c6b7b15489ba840.jpg,5.6,800,400,15:00:59
+1.0,2012-03-08,2012-03-08 12:10:08,0,3,bdb4401940d75c5e0499b0fa4e70e04b.jpg,5.6,800,400,12:10:08
+1.0,2012-04-03,2012-04-03 09:37:22,0,3,376fe35ace8d15afc2491937418b3b48.jpg,5.6,800,400,09:37:22
+1.0,2013-02-26,2013-02-26 12:11:03,1,1,da1a07e2200ad8fd76021a544f887e0a.jpg,5.6,800,200,12:11:03
+1.0,2012-03-08,2012-03-08 15:01:06,0,3,969141e9e06d29f346ebda022412f936.jpg,5.6,800,400,15:01:06
+1.0,2012-04-03,2012-04-03 12:37:37,0,3,3e4c9a68a520e5d2bcddb00be65dbc61.jpg,5.6,800,400,12:37:37
+1.0,2013-01-29,2013-01-29 16:22:21,1,1,6b5aec115a0976ae0bb47462d2270604.jpg,5.6,800,320,16:22:21
+1.0,2012-03-20,2012-03-20 11:05:41,0,3,4698e35c8c82082d6aa8ee468f1dd94f.jpg,5.6,800,400,11:05:41
+1.0,2013-02-20,2013-02-20 12:39:29,1,1,b89d3114cc7a4a6a06caef3b58851b1b.jpg,5.6,800,100,12:39:29
+1.0,2013-01-28,2013-01-28 12:35:26,1,1,aa23f485dfea7e134851e1ec5a1aae7d.jpg,5.6,800,100,12:35:26
+1.0,2013-02-19,2013-02-19 16:33:24,1,1,12fb26a594144d4c263709530bde0926.jpg,5.6,800,320,16:33:24
+1.0,2013-02-26,2013-02-26 12:06:57,1,1,d7aeb8e804067cf1fbf12c56a702c3f3.jpg,5.6,800,160,12:06:57
+1.0,2012-02-23,2012-02-23 14:58:49,0,3,500d6a8c7a3ac3972ce521509bdd18c7.jpg,5.6,800,400,14:58:49
+1.0,2013-01-28,2013-01-28 12:38:07,1,1,8f25934fc43a167c3d0a4380cc2df104.jpg,5.6,800,100,12:38:07
+1.0,2012-03-08,2012-03-08 10:46:24,0,3,6279880e368e6ff5c6ac3004187f9ffb.jpg,5.6,800,400,10:46:24
+1.0,2012-03-20,2012-03-20 11:09:35,0,3,7a6bbf510aceef94157b385dc30a87e7.jpg,5.6,800,400,11:09:35
+1.0,2013-02-13,2013-02-13 12:42:25,1,1,c70cd20d4bd7d16567c8d12627fed203.jpg,5.6,800,100,12:42:25
+1.0,2012-03-22,2012-03-22 14:00:41,0,3,7681a4d064cdbf6b774d6869b9ca772a.jpg,5.6,800,400,14:00:41
+1.0,2012-04-03,2012-04-03 09:36:16,0,3,18b49f6dcf740629ae743010d4a5e78c.jpg,5.6,800,400,09:36:16
+1.0,2012-03-20,2012-03-20 15:23:37,0,3,5dfbdcd946af3bf3ca3b915fcf810a1a.jpg,5.6,800,400,15:23:37
+1.0,2013-02-20,2013-02-20 12:13:43,1,1,72c0958af7b4a531891edb51c38eefdf.jpg,5.6,800,160,12:13:43
+1.0,2012-03-20,2012-03-20 15:24:16,0,3,659cac6f60a865ea182265ce42091eee.jpg,5.6,800,400,15:24:16
+1.0,2013-02-13,2013-02-13 13:20:43,1,1,934ad49810f5457833a69028468df9ef.jpg,5.6,800,100,13:20:43
+1.0,2013-01-29,2013-01-29 16:27:42,1,1,3f948d766653ead9dff6fdc35af8b846.jpg,5.6,800,250,16:27:42
+1.0,2012-03-22,2012-03-22 11:05:00,0,3,6f0f23a6c61278ff4ac7e4d5dbdad27e.jpg,5.6,800,400,11:05:00
+1.0,2013-02-13,2013-02-13 13:27:08,1,1,90a266d3e4ca7ea4c9fe5a91c4995a81.jpg,5.6,800,100,13:27:08
+1.0,2013-02-13,2013-02-13 12:10:37,1,1,8802d1d55da6ffa363bb4daf7985fa14.jpg,5.6,800,100,12:10:37
+1.0,2012-04-03,2012-04-03 09:39:42,0,3,5225ac404da107b61af5fe39c64df569.jpg,5.6,800,400,09:39:42
+1.0,2013-02-19,2013-02-19 16:29:44,1,1,95bf8860ce66fed4a8154976f56e8b37.jpg,5.6,800,320,16:29:44
+1.0,2013-01-28,2013-01-28 12:41:35,1,1,c0d7946c73d57c3d119d691c9b8514c0.jpg,5.6,800,100,12:41:35
+1.0,2013-01-28,2013-01-28 12:36:09,1,1,0dddd6c2e7d0a760d78fb643c1929654.jpg,5.6,800,100,12:36:09
+1.0,2013-02-26,2013-02-26 12:10:20,1,1,5da8d181a5566a9b0e28aaf662d1278f.jpg,5.6,800,200,12:10:20
+1.0,2012-03-20,2012-03-20 12:30:20,0,3,90067b55cf6c5cc1a8be5ee81b213f54.jpg,5.6,800,400,12:30:20
+1.0,2012-03-20,2012-03-20 09:47:08,0,3,ebf65859b520491c2f30f624ec777a85.jpg,5.6,800,400,09:47:08
+1.0,2012-03-08,2012-03-08 14:54:08,0,3,6fc59ede1c57951e87cb0c712f6cb334.jpg,5.6,800,400,14:54:08
+1.0,2013-02-26,2013-02-26 12:07:51,1,1,989e5acde430f4771dd7e87edc92e56d.jpg,5.6,800,160,12:07:51
+1.0,2012-03-20,2012-03-20 12:32:08,0,3,4ba5d86fa6124a7346f0904da01a75f2.jpg,5.6,800,400,12:32:08
+1.0,2012-04-03,2012-04-03 09:43:59,0,3,b303d1683a1c44104d45c358f03cc1c0.jpg,5.6,800,400,09:43:59
+1.0,2013-02-26,2013-02-26 12:26:34,1,1,caec058b98ecd06e6db0eb22de59e0fe.jpg,5.6,800,200,12:26:34
+1.0,2012-04-26,2012-04-26 12:39:11,0,3,eb4508fb6b119ec0e6c7951ee0ccda9e.jpg,5.6,800,400,12:39:11
+1.0,2013-01-28,2013-01-28 12:40:19,1,1,92c740cda81e1359bef17a047b538061.jpg,5.6,800,100,12:40:19
+1.0,2013-02-20,2013-02-20 12:04:07,1,1,16399a35dc33fcd163d6ba752ff78def.jpg,5.6,800,160,12:04:07
+1.0,2013-02-20,2013-02-20 12:09:35,1,1,c321122249be10e03ae84eefe5592bf1.jpg,5.6,800,160,12:09:35
+1.0,2013-02-20,2013-02-20 12:22:15,1,1,1d8a0e9ce1989d2c0935b4e952c27d93.jpg,5.6,800,100,12:22:15
+1.0,2013-02-19,2013-02-19 16:18:04,1,1,3fbe5a9771e2fdf4238cec84860e6be6.jpg,5.6,800,320,16:18:04
+1.0,2013-02-13,2013-02-13 12:12:53,1,1,df682ab97931a405cc7c95c97bfd7455.jpg,5.6,800,100,12:12:53
+1.0,2012-03-08,2012-03-08 10:43:50,0,3,41e5a3fb383998c31b8c15bbd03c3a14.jpg,5.6,800,400,10:43:50
+1.0,2013-02-26,2013-02-26 12:13:02,1,1,d6fe5dc14367dc035b82a34aa41c003c.jpg,5.6,800,200,12:13:02
+1.0,2012-03-22,2012-03-22 11:07:50,0,3,d156c58ac054e51e5a835d48817e7413.jpg,5.6,800,400,11:07:50
+1.0,2013-02-20,2013-02-20 12:20:23,1,1,c32ce7ef466e3d344f307e4dc2736404.jpg,5.6,800,100,12:20:23
+1.0,2013-02-13,2013-02-13 13:26:04,1,1,f3c560c72ac22d2683e7a52c68280220.jpg,5.6,800,100,13:26:04
+1.0,2012-03-20,2012-03-20 12:35:07,0,3,7092aab9b35cc759e563d6b32990ca7b.jpg,5.6,800,400,12:35:07
+1.0,2012-02-23,2012-02-23 14:58:35,0,3,bff3dcabc14a55a9dcb83a5b93901d0a.jpg,5.6,800,400,14:58:35
+1.0,2012-03-08,2012-03-08 12:10:06,0,3,442e2d909c551be4cfba6fd3f91282b4.jpg,5.6,800,400,12:10:06
+1.0,2013-02-26,2013-02-26 12:24:13,1,1,8c96e5a6d370c148270b577447781471.jpg,5.6,800,200,12:24:13
+1.0,2013-02-20,2013-02-20 12:06:44,1,1,800adf6c08233ba33a49ba0215bf5d95.jpg,5.6,800,160,12:06:44
+1.0,2013-02-20,2013-02-20 12:04:31,1,1,f0dab3b0516a8b0321fa990e4296f714.jpg,5.6,800,200,12:04:31
+1.0,2013-01-29,2013-01-29 12:09:15,1,1,1879506be1106d86d62624eda1a5b2c6.jpg,5.6,800,100,12:09:15
+1.0,2013-01-29,2013-01-29 16:21:16,1,1,dcd81cb4092b1c7849c65c3ae98e3371.jpg,5.6,800,250,16:21:16
+1.0,2013-02-19,2013-02-19 16:26:25,1,1,c759c34c77f101a19e3a940c5e865728.jpg,5.6,800,320,16:26:25
+1.0,2013-02-20,2013-02-20 12:22:07,1,1,7f8ad056b6ae4fab2d745c5d41887ce6.jpg,5.6,800,100,12:22:07
+1.0,2013-02-13,2013-02-13 12:05:04,1,1,d0bec939672e540c3b2ffbc3de8c2d3b.jpg,5.6,800,100,12:05:04
+1.0,2013-02-19,2013-02-19 16:17:06,1,1,16abd09b9c9a37fac6269c113109fd60.jpg,5.6,800,320,16:17:06
+1.0,2013-01-29,2013-01-29 16:26:13,1,1,4d951bff41c7685ca745bb931dbf8b4c.jpg,5.6,800,400,16:26:13
+1.0,2013-01-29,2013-01-29 12:16:18,1,1,d9531b9ba59243d149c652783fa84261.jpg,5.6,800,100,12:16:18
+1.0,2012-03-22,2012-03-22 11:06:32,0,3,4469f272204d4d9d76dae4cec52a1b75.jpg,5.6,800,400,11:06:32
+1.0,2013-02-19,2013-02-19 16:25:39,1,1,a9b6042b378536210c3b1969719c3d38.jpg,5.6,800,320,16:25:39
+1.0,2013-02-26,2013-02-26 12:12:31,1,1,865c7c197e37219fe4538881d6bd9500.jpg,5.6,800,160,12:12:31
+1.0,2012-04-03,2012-04-03 11:12:56,0,3,0e988fc73c227f80a1125e3abacb6da4.jpg,5.6,800,400,11:12:56
+1.0,2013-02-20,2013-02-20 12:34:06,1,1,d9f49830f2497beb2e778c7c04c43731.jpg,5.6,800,100,12:34:06
+1.0,2013-02-13,2013-02-13 12:45:19,1,1,05b4cde85dff52385896fe4565a8eada.jpg,5.6,800,100,12:45:19
+1.0,2012-03-08,2012-03-08 10:43:47,0,3,9846f5857adca4aad8e084c3f8ca6d64.jpg,5.6,800,400,10:43:47
+1.0,2013-01-29,2013-01-29 12:33:17,1,1,acdcff5af9bae674dde76b5a882f55a4.jpg,5.6,800,100,12:33:17
+1.0,2013-01-28,2013-01-28 12:42:22,1,1,baa045d5adfa52a169b8470d70445a37.jpg,5.6,800,100,12:42:22
+1.0,2012-04-03,2012-04-03 11:07:52,0,3,4a3a2eaa43dd48121488d3550c073678.jpg,5.6,800,400,11:07:52
+1.0,2012-04-03,2012-04-03 11:05:59,0,3,1cd28e194098b3b23baa7de548a38877.jpg,5.6,800,400,11:05:59
+1.0,2012-04-03,2012-04-03 09:36:12,0,3,ae394d9057b986ff2c0511c9d146ab74.jpg,5.6,800,400,09:36:12
+1.0,2012-03-20,2012-03-20 15:22:22,0,3,3a643c2577ea62cc7cc8e90267190fbe.jpg,5.6,800,400,15:22:22
+1.0,2012-03-22,2012-03-22 11:05:02,0,3,af5bbb3cf1a0f7069c1aa2819de2cedf.jpg,5.6,800,400,11:05:02
+1.0,2013-02-13,2013-02-13 12:56:24,1,1,1133c927df076d104922c08b13ad1975.jpg,5.6,800,100,12:56:24
+1.0,2012-03-22,2012-03-22 11:07:16,0,3,2501f8d146f519d2537790c5ec8866f1.jpg,5.6,800,400,11:07:16
+1.0,2013-01-29,2013-01-29 12:20:49,1,1,e1ec2c2e8f379455bd9fa46db422d585.jpg,5.6,800,100,12:20:49
+1.0,2013-01-29,2013-01-29 12:19:25,1,1,6a404711bd2c4d132331c6958c1d5e27.jpg,5.6,800,100,12:19:25
+1.0,2012-02-23,2012-02-23 14:57:26,0,3,ffd4905052ec4c02a984a05de9c259fb.jpg,5.6,800,400,14:57:26
+1.0,2013-01-28,2013-01-28 12:37:13,1,1,aadbe246418bab99d81ce9209d80a1ff.jpg,5.6,800,100,12:37:13
+1.0,2013-01-29,2013-01-29 16:29:31,1,1,7f9436fda3ca0252c21512a3bf6fa8f0.jpg,5.6,800,250,16:29:31
+1.0,2013-02-20,2013-02-20 12:13:40,1,1,58588a0c1dd01c49ae42cbcca3d1d857.jpg,5.6,800,160,12:13:40
+1.0,2013-02-20,2013-02-20 12:32:27,1,1,d8cbd64d0221e0f45ad646bbe4fda532.jpg,5.6,800,100,12:32:27
+1.0,2013-02-20,2013-02-20 12:25:09,1,1,36078762984870acba8363a07b3243fb.jpg,5.6,800,100,12:25:09
+1.0,2013-02-26,2013-02-26 12:09:30,1,1,f882918bfe59de817ebb150d1c314011.jpg,5.6,800,200,12:09:30
+1.0,2013-02-20,2013-02-20 12:19:28,1,1,cde45a2049120d6bfed042e5093387a0.jpg,5.6,800,100,12:19:28
+1.0,2013-01-28,2013-01-28 12:42:42,1,1,b733f5a828ca37dccfe2e016f0b7fc7f.jpg,5.6,800,100,12:42:42
+1.0,2013-02-19,2013-02-19 16:19:04,1,1,a51f2e6e1086db7a22790628424f2ab9.jpg,5.6,800,320,16:19:04
+1.0,2012-04-03,2012-04-03 09:44:14,0,3,090fdcbcf2b71322c5a4044fb86e0b9b.jpg,5.6,800,400,09:44:14
+1.0,2012-04-03,2012-04-03 12:38:51,0,3,a54c609bd5da8cf924f04ff50b3978d0.jpg,5.6,800,400,12:38:51
+1.0,2012-03-22,2012-03-22 11:04:07,0,3,e17f13957057b09a9dde995938816feb.jpg,5.6,800,400,11:04:07
+1.0,2013-02-13,2013-02-13 13:22:36,1,1,fa495c5a55d4750218e85b9e281a6b4e.jpg,5.6,800,100,13:22:36
+1.0,2013-01-29,2013-01-29 12:17:17,1,1,db8efbf1ceeb915a2419fe3f6408a63f.jpg,5.6,800,100,12:17:17
+1.0,2013-02-19,2013-02-19 16:33:35,1,1,50628f62855950af76eee25fea065874.jpg,5.6,800,500,16:33:35
+1.0,2012-04-03,2012-04-03 11:08:08,0,3,b2ea37cf5bcb314b54b6126d2e343049.jpg,5.6,800,400,11:08:08
+1.0,2013-02-26,2013-02-26 12:18:54,1,1,865a97eecf114631176863ed78be4b7e.jpg,5.6,800,200,12:18:54
+1.0,2013-02-20,2013-02-20 12:25:11,1,1,46cc49864e7e0d61b19fa8a2367ba5f0.jpg,5.6,800,100,12:25:11
+1.0,2013-01-28,2013-01-28 12:42:47,1,1,b66d7d1d66e672cb931a4f448030f8a1.jpg,5.6,800,100,12:42:47
+1.0,2013-02-20,2013-02-20 12:43:25,1,1,cd75d8ba79de2017cba8bc3aabb60a63.jpg,5.6,800,100,12:43:25
+1.0,2013-01-28,2013-01-28 12:41:44,1,1,e030709925237cd7c4b51575054a8d77.jpg,5.6,800,100,12:41:44
+1.0,2012-03-20,2012-03-20 09:46:47,0,3,cccf0a1be72316e2487b7e7f4b3b00d0.jpg,5.6,800,400,09:46:47
+1.0,2012-03-20,2012-03-20 12:30:00,0,3,e58092139a852dccfc1c6e5ad71860d0.jpg,5.6,800,400,12:30:00
+1.0,2013-02-26,2013-02-26 12:13:09,1,1,f89ad1c6420f8dab203bcaa79b41e744.jpg,5.6,800,160,12:13:09
+1.0,2012-04-03,2012-04-03 11:06:59,0,3,188d4ee151955e371a1b67687f5ab567.jpg,5.6,800,400,11:06:59
+1.0,2012-04-03,2012-04-03 11:11:23,0,3,05e4fe5eb8f7fb5ca1fc9aef11160534.jpg,5.6,800,400,11:11:23
+1.0,2013-02-13,2013-02-13 13:30:53,1,1,3aed48191c6867c8ee2b74a7a1796d3b.jpg,5.6,800,160,13:30:53
+1.0,2012-03-20,2012-03-20 15:24:29,0,3,b1b6da0f135f54e86115180740c5e6c1.jpg,5.6,800,400,15:24:29
+1.0,2013-02-13,2013-02-13 12:46:00,1,1,717b1d071efcf67e029a2c89d1891fed.jpg,5.6,800,100,12:46:00
+1.0,2012-04-03,2012-04-03 09:43:45,0,3,a8080e58793dbaa50db715fb3b8666fe.jpg,5.6,800,400,09:43:45
+1.0,2013-01-29,2013-01-29 16:21:29,1,1,26b99399e9aa153c1a0a7c1f13605b84.jpg,5.6,800,320,16:21:29
+1.0,2013-01-28,2013-01-28 12:40:28,1,1,470f261ac1c51e942a87b9f4a0c934b7.jpg,5.6,800,100,12:40:28
+1.0,2013-01-29,2013-01-29 12:10:30,1,1,45f6383c9d4a9068c71e66463847a8dd.jpg,5.6,800,100,12:10:30
+1.0,2012-03-20,2012-03-20 09:42:22,0,3,1afc0edfbb041758aec98bb148868804.jpg,5.6,800,400,09:42:22
+1.0,2013-01-28,2013-01-28 12:38:24,1,1,26ef4233b05e6672dcca3b8a8f0e4e6f.jpg,5.6,800,100,12:38:24
+1.0,2013-02-13,2013-02-13 12:14:43,1,1,676ea20b67820d2271c86397fc431b9d.jpg,5.6,800,100,12:14:43
+1.0,2012-03-20,2012-03-20 12:34:54,0,3,3061685e7916d5d67a53dcf857c9e225.jpg,5.6,800,400,12:34:54
+1.0,2013-02-13,2013-02-13 13:15:45,1,1,c00a5b4c03cad159ad599df60545d1d1.jpg,5.6,800,100,13:15:45
+1.0,2013-02-20,2013-02-20 12:04:46,1,1,107b89fc92eb68bf04052cd995e67729.jpg,5.6,800,160,12:04:46
+1.0,2013-01-28,2013-01-28 12:42:30,1,1,530e97964f97e228dc3e0caeb2ca49b3.jpg,5.6,800,100,12:42:30
+1.0,2012-03-20,2012-03-20 12:32:13,0,3,544a299bcaab972dd77c7b0b941277f7.jpg,5.6,800,400,12:32:13
+1.0,2012-04-03,2012-04-03 11:06:43,0,3,52962019a7229526478bf18086b777f0.jpg,5.6,800,400,11:06:43
+1.0,2012-04-03,2012-04-03 09:40:51,0,3,d167d6519893be780a0d650f700d554b.jpg,5.6,800,400,09:40:51
+1.0,2012-03-20,2012-03-20 13:58:43,0,3,ff601bd4f014ba3343d1d052195bf1b0.jpg,5.6,800,400,13:58:43
+1.0,2012-03-20,2012-03-20 13:57:26,0,3,60a853c6d6c52ed06a6a306e285d5c19.jpg,5.6,800,400,13:57:26
+1.0,2012-04-03,2012-04-03 12:37:59,0,3,2376c60d0ac85215770797b9c6794ff9.jpg,5.6,800,400,12:37:59
+1.0,2012-03-20,2012-03-20 12:35:04,0,3,392d6c53a91a37ef16a0bf7e3abe97d9.jpg,5.6,800,400,12:35:04
+1.0,2012-04-03,2012-04-03 11:03:43,0,3,43f50bbe1c61f1c12bca009648eee258.jpg,5.6,800,400,11:03:43
+1.0,2013-02-19,2013-02-19 16:34:07,1,1,e41ce47692a13e25d0ae34930ef1df5c.jpg,5.6,800,400,16:34:07
+1.0,2013-01-29,2013-01-29 16:21:35,1,1,23feaabe32ed8493964a6f09458d2d64.jpg,5.6,800,250,16:21:35
+1.0,2012-03-22,2012-03-22 11:06:29,0,3,7b8254040fa0e33164633d9e2bd488d4.jpg,5.6,800,400,11:06:29
+1.0,2013-02-20,2013-02-20 12:22:32,1,1,d59ffcda5d62853ceaedc72592f496e6.jpg,5.6,800,100,12:22:32
+1.0,2012-03-22,2012-03-22 11:11:31,0,3,2c9e0b5a071dc20b25297cae374f639d.jpg,5.6,800,400,11:11:31
+1.0,2013-02-26,2013-02-26 12:05:09,1,1,2f836e53008c628c6822cffcc1a938b8.jpg,5.6,800,160,12:05:09
+1.0,2013-02-19,2013-02-19 16:14:20,1,1,6ac5c5f2cfababbaaca00d7b92b49006.jpg,5.6,800,250,16:14:20
+1.0,2013-01-29,2013-01-29 12:20:14,1,1,e5194ec44a77f30a240e5f1d8ff7e739.jpg,5.6,800,100,12:20:14
+1.0,2013-01-29,2013-01-29 16:34:11,1,1,5e1868d863c7865195b6557e85f4b11b.jpg,5.6,800,400,16:34:11
+1.0,2013-02-20,2013-02-20 12:25:20,1,1,34d71c1910c97fe628bfdd44ef0c5b5d.jpg,5.6,800,100,12:25:20
+1.0,2013-01-28,2013-01-28 12:38:44,1,1,dc4c32a81c7a632a2f2cf2e0d7613adf.jpg,5.6,800,100,12:38:44
+1.0,2012-04-03,2012-04-03 11:08:49,0,3,098193130d22e6d26c8891baa755123e.jpg,5.6,800,400,11:08:49
+1.0,2012-03-08,2012-03-08 10:48:14,0,3,da268f95ded9deec045ec772fb99aa6a.jpg,5.6,800,400,10:48:14
+1.0,2012-03-20,2012-03-20 13:56:23,0,3,d0c589100d4e47871c7ca31da5a253c5.jpg,5.6,800,400,13:56:23
+1.0,2013-02-26,2013-02-26 12:10:28,1,1,40e3ecb3b62ba68f6d27c27361d5e787.jpg,5.6,800,200,12:10:28
+1.0,2013-02-20,2013-02-20 12:43:20,1,1,a4efb9bb3ee3ca105753d99f10f2d395.jpg,5.6,800,100,12:43:20
+1.0,2012-03-20,2012-03-20 13:56:30,0,3,fa392dd0334bf8c8c4b114b6a35b49d6.jpg,5.6,800,400,13:56:30
+1.0,2013-02-13,2013-02-13 12:51:38,1,1,50adbb287570bd9363efc540f5caaa96.jpg,5.6,800,100,12:51:38
+1.0,2013-01-29,2013-01-29 16:32:37,1,1,ea09d7efe7ef3266329178b96ffe8642.jpg,5.6,800,320,16:32:37
+1.0,2012-03-13,2012-03-13 11:12:24,0,3,e774d2cce5e294f165037235fce40839.jpg,5.6,800,400,11:12:24
+1.0,2013-02-26,2013-02-26 12:28:59,1,1,4cc8d7f49962ccb3729b9bc098153b25.jpg,5.6,800,200,12:28:59
+1.0,2013-02-13,2013-02-13 12:14:55,1,1,d8b57f01c1c1c099604ee88694c1f257.jpg,5.6,800,100,12:14:55
+1.0,2012-03-20,2012-03-20 15:22:28,0,3,d4c6d9241ef755d157df314ad13aefad.jpg,5.6,800,400,15:22:28
+1.0,2013-02-19,2013-02-19 16:22:16,1,1,e9b189b1b4d58e02249f0245ff11a77e.jpg,5.6,800,320,16:22:16
+1.0,2013-02-13,2013-02-13 12:45:04,1,1,93688d90868abd4faba3f37b396f5de9.jpg,5.6,800,100,12:45:04
+1.0,2013-01-29,2013-01-29 16:30:33,1,1,b0eac650022e7b549bd44231330f338b.jpg,5.6,800,640,16:30:33
+1.0,2012-04-24,2012-04-24 09:43:28,0,3,d3f56c188bf6ae780cba4a7ad20f3286.jpg,5.6,800,400,09:43:28
+1.0,2013-01-28,2013-01-28 12:34:47,1,1,a4d62a4c610d0bd9089663d292fb16dc.jpg,5.6,800,100,12:34:47
+1.0,2012-04-03,2012-04-03 11:08:05,0,3,6d9446c560cc053a82b72d4cf5ed1777.jpg,5.6,800,400,11:08:05
+1.0,2013-02-26,2013-02-26 12:24:11,1,1,fbe9e0e132eccd1268f31ec4b4e55ca6.jpg,5.6,800,200,12:24:11
+1.0,2012-04-03,2012-04-03 09:44:25,0,3,2892de9ef50d0546cd24cef80e6e1b5d.jpg,5.6,800,400,09:44:25
+1.0,2013-02-19,2013-02-19 16:27:26,1,1,8318ca23e5446f18b359134c7b477ed9.jpg,5.6,800,320,16:27:26
+1.0,2012-04-03,2012-04-03 12:31:28,0,3,f2b7ebd3be610e79c20ae4305731f2ce.jpg,5.6,800,400,12:31:28
+1.0,2012-03-20,2012-03-20 11:09:21,0,3,408b418bfe9ee25ac1b975f37a9764db.jpg,5.6,800,400,11:09:21
+1.0,2013-02-19,2013-02-19 16:14:42,1,1,db6e2f8678ff55c9426a909060795955.jpg,5.6,800,320,16:14:42
+1.0,2012-03-20,2012-03-20 09:42:01,0,3,d4e365d81bc1bafd4adbb960dd4af954.jpg,5.6,800,400,09:42:01
+1.0,2013-01-29,2013-01-29 12:07:50,1,1,1593bba27298d8ca71205eeb8372aa36.jpg,5.6,800,100,12:07:50
+1.0,2012-03-20,2012-03-20 13:59:36,0,3,35ece0da26c37403b3231e365af3b91e.jpg,5.6,800,400,13:59:36
+1.0,2012-04-03,2012-04-03 11:06:28,0,3,1cdebdd37344cff575afd0eda0c3f0f5.jpg,5.6,800,400,11:06:28
+1.0,2013-01-28,2013-01-28 12:38:57,1,1,60ccbd633f7bf3dff9ce6e52d9d730c8.jpg,5.6,800,100,12:38:57
+1.0,2013-01-28,2013-01-28 12:42:35,1,1,8376d86f6b9ee5505d25d26955a24437.jpg,5.6,800,100,12:42:35
+1.0,2013-01-29,2013-01-29 12:20:56,1,1,8ef0e0e842dd2cea62f33a97b16e0182.jpg,5.6,800,100,12:20:56
+1.0,2013-02-19,2013-02-19 16:29:41,1,1,c0ac78c5333ca7b84cfceef8724bb68a.jpg,5.6,800,320,16:29:41
+1.0,2012-04-03,2012-04-03 11:10:45,0,3,1a81998c83a142abbac12899e0b9f017.jpg,5.6,800,400,11:10:45
+1.0,2012-03-20,2012-03-20 12:31:40,0,3,8259748c2a4ea1286112ac9396199b2f.jpg,5.6,800,400,12:31:40
+1.0,2013-02-19,2013-02-19 16:17:58,1,1,710eed559fe2cac522c0024a00be8144.jpg,5.6,800,320,16:17:58
+1.0,2013-02-20,2013-02-20 12:13:18,1,1,afa78fec8bdffa7eba015526cdedfc0c.jpg,5.6,800,200,12:13:18
+1.0,2012-03-20,2012-03-20 12:29:04,0,3,0ae1d82c4e5d8770d8f188de4bfc68f6.jpg,5.6,800,400,12:29:04
+1.0,2013-02-26,2013-02-26 12:10:23,1,1,b217ded8a23d4f6ae2956845e28c65aa.jpg,5.6,800,200,12:10:23
+1.0,2013-02-19,2013-02-19 16:22:25,1,1,e72a77b8b745a003de0ef73f7c7cce3a.jpg,5.6,800,320,16:22:25
+1.0,2013-02-13,2013-02-13 12:14:37,1,1,27461f6bbe027ae58a95e8f0dce03eb3.jpg,5.6,800,100,12:14:37
+1.0,2012-03-08,2012-03-08 10:48:19,0,3,0a1ac15ee93a0bea6a22fe6c152b60a3.jpg,5.6,800,400,10:48:19
+1.0,2012-04-03,2012-04-03 09:36:50,0,3,e94218e274adcd435ccabd89af2c8530.jpg,5.6,800,400,09:36:50
+1.0,2012-04-24,2012-04-24 09:47:34,0,3,6f5de9682dbf781e21e1b8a2bcca057a.jpg,5.6,800,400,09:47:34
+1.0,2013-02-20,2013-02-20 12:22:38,1,1,6ebb4943ae3fd77e17b46a83db4bd52e.jpg,5.6,800,100,12:22:38
+1.0,2013-02-20,2013-02-20 12:13:20,1,1,1abe8bd5644d00735148e5fa8ef7adf6.jpg,5.6,800,160,12:13:20
+1.0,2013-02-26,2013-02-26 12:29:03,1,1,ddf2d1856c07e12c90eb0627fd665b85.jpg,5.6,800,200,12:29:03
+1.0,2012-04-03,2012-04-03 09:36:27,0,3,811042443afbab5cb20cdf55eff1a5a5.jpg,5.6,800,400,09:36:27
+1.0,2013-02-13,2013-02-13 12:48:25,1,1,d740d03a233fe018ef90bba8a3d53474.jpg,5.6,800,100,12:48:25
+1.0,2012-04-03,2012-04-03 11:06:26,0,3,792adebe2e5f55f410ae84607666ea31.jpg,5.6,800,400,11:06:26
+1.0,2013-01-28,2013-01-28 12:40:10,1,1,694d0330591bfb68be4b127afc893182.jpg,5.6,800,100,12:40:10
+1.0,2012-03-20,2012-03-20 12:31:25,0,3,4424f83efbbece5ff5711bdb27c3233b.jpg,5.6,800,400,12:31:25
+1.0,2013-01-28,2013-01-28 12:33:36,1,1,9dc06dce65a68c4d4cd49c43b6369823.jpg,5.6,800,100,12:33:36
+1.0,2013-02-20,2013-02-20 12:13:42,1,1,10ba854a91a47127cffeec6371822f75.jpg,5.6,800,160,12:13:42
+1.0,2013-02-13,2013-02-13 12:45:22,1,1,3f75dfa71416cd08e9879a918023b7e8.jpg,5.6,800,100,12:45:22
+1.0,2012-04-03,2012-04-03 09:44:16,0,3,d122014e99d2d6ad4c0c21b84d95a261.jpg,5.6,800,400,09:44:16
+1.0,2013-02-13,2013-02-13 12:01:39,1,1,3f4cb30ee60ce4941b6ea8a60c90c02d.jpg,5.6,800,100,12:01:39
+1.0,2013-02-19,2013-02-19 16:34:04,1,1,46155b51a346bce6bbd998facb7a8edb.jpg,5.6,800,320,16:34:04
+1.0,2012-04-03,2012-04-03 11:10:47,0,3,6b8d154fcdb7c81b80cfe9eda9daf03f.jpg,5.6,800,400,11:10:47
+1.0,2013-01-29,2013-01-29 16:24:02,1,1,5dda14c1ec1474dc701763d6ac2b9587.jpg,5.6,800,500,16:24:02
+1.0,2013-01-29,2013-01-29 16:30:03,1,1,4b6e87dce3ecb3e9ee767810440a97d1.jpg,5.6,800,400,16:30:03
+1.0,2012-03-20,2012-03-20 13:57:50,0,3,5ad9d5fb898b2d78071f9dbdffc701a8.jpg,5.6,800,400,13:57:50
+1.0,2012-03-20,2012-03-20 13:56:41,0,3,69ace8ce4491d6a81b19363ab6d43ae0.jpg,5.6,800,400,13:56:41
+1.0,2013-02-26,2013-02-26 12:19:29,1,1,669feb99d54808cf4b85831b4e11f537.jpg,5.6,800,160,12:19:29
+1.0,2012-03-20,2012-03-20 15:24:30,0,3,8c4868d55786f7d57054e67619c7a46d.jpg,5.6,800,400,15:24:30
+1.0,2012-04-03,2012-04-03 11:06:25,0,3,17523048aea611023d6c4a3e4ba6744d.jpg,5.6,800,400,11:06:25
+1.0,2013-01-29,2013-01-29 16:27:37,1,1,6aa40ff36278a4ae243ed2700568c0cd.jpg,5.6,800,250,16:27:37
+1.0,2013-02-26,2013-02-26 12:20:00,1,1,6d8d93501eed49274640556d271c7b12.jpg,5.6,800,200,12:20:00
+1.0,2013-02-19,2013-02-19 16:22:31,1,1,569313aa96938b1bf024ff3fa187545b.jpg,5.6,800,400,16:22:31
+1.0,2013-02-26,2013-02-26 12:25:36,1,1,b46091c59132e7a527ab2ddafd0d71e2.jpg,5.6,800,250,12:25:36
+1.0,2012-03-20,2012-03-20 12:31:33,0,3,acc55563f91552e37d05be78f98c443c.jpg,5.6,800,400,12:31:33
+1.0,2012-03-22,2012-03-22 11:11:03,0,3,358b8854e49dbbc09bb8d91176320be0.jpg,5.6,800,400,11:11:03
+1.0,2013-02-19,2013-02-19 16:22:19,1,1,05fe8f72ee03da97ecdcdf7c258e6393.jpg,5.6,800,320,16:22:19
+1.0,2013-02-20,2013-02-20 12:24:05,1,1,539de91561732ca67675b0b00968995e.jpg,5.6,800,100,12:24:05
+1.0,2013-01-29,2013-01-29 12:15:41,1,1,4f746de89b6ab40c19f339ea9f8d8bd0.jpg,5.6,800,100,12:15:41
+1.0,2013-01-29,2013-01-29 16:24:54,1,1,940db441fa2045e1db5185992605f0f8.jpg,5.6,800,400,16:24:54
+1.0,2013-01-28,2013-01-28 12:42:27,1,1,031b78f40fa8b88edda13336b2958c2b.jpg,5.6,800,100,12:42:27
+1.0,2012-04-03,2012-04-03 12:36:30,0,3,54a230f9265f298dcea130e7429ca058.jpg,5.6,800,400,12:36:30
+1.0,2013-02-13,2013-02-13 12:12:01,1,1,a787cfbd9d59399ca64660f4f0a7d7d3.jpg,5.6,800,100,12:12:01
+1.0,2012-04-03,2012-04-03 11:12:04,0,3,31c468b762f925a34dbd3c4f0c78bed8.jpg,5.6,800,400,11:12:04
+1.0,2013-01-29,2013-01-29 12:17:50,1,1,9f300cbfedb2c847925780668b17c088.jpg,5.6,800,100,12:17:50
+1.0,2013-02-19,2013-02-19 16:32:08,1,1,f55f7a3cea5ac9ad333a1849c88fecf3.jpg,5.6,800,320,16:32:08
+1.0,2012-03-08,2012-03-08 14:54:07,0,3,594408f5c2ea71753e80b90822b80c95.jpg,5.6,800,400,14:54:07
+1.0,2013-01-28,2013-01-28 12:33:27,1,1,19a9fb9419d8bcada95f52bfa23d0cf6.jpg,5.6,800,100,12:33:27
+1.0,2012-03-20,2012-03-20 12:30:39,0,3,ec12665f1d8e0ad4ad789e777e59062b.jpg,5.6,800,400,12:30:39
+1.0,2013-02-13,2013-02-13 12:57:00,1,1,5b7c39994b8c80f7b15beec220f2741b.jpg,5.6,800,100,12:57:00
+1.0,2013-01-28,2013-01-28 12:38:20,1,1,6361cb2ff0959a1f0a0c05fb4e178592.jpg,5.6,800,100,12:38:20
+1.0,2013-01-29,2013-01-29 12:34:45,1,1,5f067337d409bb31dde14b04671aa2a2.jpg,5.6,800,100,12:34:45
+1.0,2013-02-20,2013-02-20 12:04:48,1,1,a6df700116340873cc438a0ca7a01b9c.jpg,5.6,800,160,12:04:48
+1.0,2013-01-29,2013-01-29 12:16:51,1,1,daa46214fda2692dfcf07ffb2b6d253b.jpg,5.6,800,100,12:16:51
+1.0,2012-04-03,2012-04-03 09:45:00,0,3,cef1d5a4fe1fe1f70e8839bdfb740ce5.jpg,5.6,800,400,09:45:00
+1.0,2013-01-28,2013-01-28 12:41:30,1,1,e4511cdd95649b21bacdbe8c452bbcfd.jpg,5.6,800,100,12:41:30
+1.0,2012-03-20,2012-03-20 13:57:59,0,3,8f5429f501705bfa4e5d17f030c3ac7e.jpg,5.6,800,400,13:57:59
+1.0,2013-02-20,2013-02-20 12:14:08,1,1,3da7874932345447cbbcf1121258b463.jpg,5.6,800,160,12:14:08
+1.0,2012-04-03,2012-04-03 11:08:04,0,3,1c8d67a87b92561161a4fa4d383a1925.jpg,5.6,800,400,11:08:04
+1.0,2012-03-20,2012-03-20 11:05:38,0,3,70f404987c8652cfdb87f58fd1b630a3.jpg,5.6,800,400,11:05:38
+1.0,2013-01-28,2013-01-28 12:34:41,1,1,86779d5e623fd6ae9aa2f9db5f7031bc.jpg,5.6,800,100,12:34:41
+1.0,2012-04-03,2012-04-03 09:39:06,0,3,664bbb5d3ae53b0e01b0a826ae0b7cd2.jpg,5.6,800,400,09:39:06
+1.0,2013-01-29,2013-01-29 12:17:58,1,1,e91405f4bdd9261bf9e28feb4930a5cb.jpg,5.6,800,100,12:17:58
+1.0,2012-04-03,2012-04-03 11:05:17,0,3,4256e7a43f11aa04f9e8bdc30753d01f.jpg,5.6,800,400,11:05:17
+1.0,2013-02-20,2013-02-20 12:32:26,1,1,2f17c595061295421a2bb181db946b9d.jpg,5.6,800,100,12:32:26
+1.0,2013-02-20,2013-02-20 12:28:46,1,1,8b06f6105c489998b18a0309c760c22b.jpg,5.6,800,100,12:28:46
+1.0,2012-03-13,2012-03-13 11:10:02,0,3,54a8bf10fc0b79c1428b5630153c1e63.jpg,5.6,800,400,11:10:02
+1.0,2013-02-20,2013-02-20 12:05:02,1,1,431dd4c122d4718657bc504333dc2b7c.jpg,5.6,800,160,12:05:02
+1.0,2012-03-20,2012-03-20 12:29:41,0,3,c179f069e8c2223823fe77de2eaca3f9.jpg,5.6,800,400,12:29:41
+1.0,2013-02-13,2013-02-13 13:13:33,1,1,45fc4a393da3d63a51e2861a6ac61a4f.jpg,5.6,800,100,13:13:33
+1.0,2012-03-20,2012-03-20 11:08:39,0,3,64a7efb70fe7d4425fe309903e36c587.jpg,5.6,800,400,11:08:39
+1.0,2013-01-28,2013-01-28 12:36:03,1,1,de73cda2950ad23ffb1a78e875b25924.jpg,5.6,800,100,12:36:03
+1.0,2013-02-20,2013-02-20 12:44:43,1,1,93aa34ea92a03f5cd97fe673a4c4267d.jpg,5.6,800,100,12:44:43
+1.0,2012-04-03,2012-04-03 12:35:18,0,3,3934441b8442ce3a386a657c98b4e16b.jpg,5.6,800,400,12:35:18
+1.0,2013-01-28,2013-01-28 12:33:12,1,1,57c58938cead7799d92d0f887f67ed3c.jpg,5.6,800,100,12:33:12
+1.0,2012-03-20,2012-03-20 09:46:29,0,3,1f0fd7029f68c597cef3d9c45bfd2a22.jpg,5.6,800,400,09:46:29
+1.0,2013-02-13,2013-02-13 12:51:30,1,1,a93930a0cf0cc0acaa8c9c324033a0e4.jpg,5.6,800,100,12:51:30
+1.0,2013-02-20,2013-02-20 12:02:24,1,1,585b96877ac1a34cacff65366648fe6f.jpg,5.6,800,160,12:02:24
+1.0,2012-04-03,2012-04-03 11:06:56,0,3,d936d99717a0c3d335589c971d030c06.jpg,5.6,800,400,11:06:56
+1.0,2013-02-20,2013-02-20 12:11:17,1,1,474c1a560d60874046b8fc971af009af.jpg,5.6,800,200,12:11:17
+1.0,2012-03-06,2012-03-06 13:28:03,0,3,2fff16fb1b85d916998e36f09c25a324.jpg,5.6,800,400,13:28:03
+1.0,2013-02-20,2013-02-20 12:13:41,1,1,6e22b72bbf6fb609e1b63d2ddfa3062a.jpg,5.6,800,200,12:13:41
+1.0,2012-03-08,2012-03-08 10:46:55,0,3,0bc4d7dcc4792dd6e337232870260d6b.jpg,5.6,800,400,10:46:55
+1.0,2012-04-03,2012-04-03 09:37:47,0,3,0efa1de678e989555c341e9a2e042356.jpg,5.6,800,400,09:37:47
+1.0,2012-03-20,2012-03-20 09:44:53,0,3,b0bdf4fbd1fcccc3e2c469869e56485c.jpg,5.6,800,400,09:44:53
+1.0,2012-04-03,2012-04-03 11:05:49,0,3,3044af645780a19cc987a62fe03b13a8.jpg,5.6,800,400,11:05:49
+1.0,2013-02-26,2013-02-26 12:19:42,1,1,1cf7c3f82eb0557807fe6728dce07470.jpg,5.6,800,200,12:19:42
+1.0,2012-04-03,2012-04-03 09:40:46,0,3,2d30caff2d62ff2d030a7b11b674ecf1.jpg,5.6,800,400,09:40:46
+1.0,2012-03-08,2012-03-08 14:54:09,0,3,63d1e4d18e7e83acfaa848c6031cfb37.jpg,5.6,800,400,14:54:09
+1.0,2013-02-19,2013-02-19 16:21:47,1,1,2b98fc62be58a3a3a62ed45b4bcadc9f.jpg,5.6,800,320,16:21:47
+1.0,2013-01-29,2013-01-29 12:09:19,1,1,230c1c9a26aef9b8989f0653ab9d1790.jpg,5.6,800,100,12:09:19
+1.0,2013-01-28,2013-01-28 12:38:05,1,1,0748989fe1fdc0fbfdc6ba9b83dc50ea.jpg,5.6,800,100,12:38:05
+1.0,2013-02-19,2013-02-19 16:19:39,1,1,e86dc939110b62e84c4b8b5fe17b923f.jpg,5.6,800,320,16:19:39
+1.0,2013-02-19,2013-02-19 16:28:14,1,1,03c1cc5989d2376cf1b0c854a3c330f4.jpg,5.6,800,320,16:28:14
+1.0,2012-03-20,2012-03-20 09:47:36,0,3,f566e388373f45d7d74281e7bceeceb5.jpg,5.6,800,400,09:47:36
+1.0,2013-02-26,2013-02-26 12:12:26,1,1,f76d81ee02bdfcc3c0df98554f711add.jpg,5.6,800,200,12:12:26
+1.0,2013-02-19,2013-02-19 16:21:53,1,1,dddb84c4a9b81b0af56932dfd6a3f75a.jpg,5.6,800,320,16:21:53
+1.0,2012-03-08,2012-03-08 14:54:29,0,3,d6e1423c81b2c671dd09ff1747770d25.jpg,5.6,800,400,14:54:29
+1.0,2013-01-29,2013-01-29 12:14:56,1,1,691e8292e03194b292851ff03c82048f.jpg,5.6,800,100,12:14:56
+1.0,2012-04-12,2012-04-12 14:01:23,0,3,788cbc73c832fc26d48d47116a7031b6.jpg,5.6,800,400,14:01:23
+1.0,2012-04-03,2012-04-03 09:37:49,0,3,77b2e45267960c71b5f6c042fc975a06.jpg,5.6,800,400,09:37:49
+1.0,2013-02-26,2013-02-26 12:14:23,1,1,2fff3b29f13f8f78e9032d0dcda75910.jpg,5.6,800,200,12:14:23
+1.0,2012-03-20,2012-03-20 13:56:40,0,3,28a9c7f24afe9bbdccc5195f781066df.jpg,5.6,800,400,13:56:40
+1.0,2012-04-03,2012-04-03 09:36:16,0,3,98fecaa81b2e3e43075792274bcbd16f.jpg,5.6,800,400,09:36:16
+1.0,2013-01-29,2013-01-29 12:31:43,1,1,4f103c2faa29d66e27890568d5dba3db.jpg,5.6,800,100,12:31:43
+1.0,2013-01-28,2013-01-28 12:36:15,1,1,6a7ba330d7e597cf569fef617ca21ce0.jpg,5.6,800,100,12:36:15
+1.0,2012-03-20,2012-03-20 12:30:13,0,3,7c98688a26f5e4f9ebcd1ea8dcab6ccb.jpg,5.6,800,400,12:30:13
+1.0,2012-04-24,2012-04-24 09:45:09,0,3,45d4ffba058ba39f5c40474161411897.jpg,5.6,800,400,09:45:09
+1.0,2012-04-03,2012-04-03 11:05:11,0,3,c49d5d403dd50bcb799d6fff329d42d4.jpg,5.6,800,400,11:05:11
+1.0,2013-01-29,2013-01-29 16:22:11,1,1,76e1ec7683b03deb3cb4602e1d7d663e.jpg,5.6,800,400,16:22:11
+1.0,2013-02-20,2013-02-20 12:39:47,1,1,247a3558b0461468b49afa1759fbdf11.jpg,5.6,800,100,12:39:47
+1.0,2013-02-20,2013-02-20 12:39:37,1,1,b29194b3936b60133adb03bb4674f5f9.jpg,5.6,800,100,12:39:37
+1.0,2012-03-20,2012-03-20 09:41:00,0,3,1ac2a9f14e1444941a2a691d76f5f5e1.jpg,5.6,800,400,09:41:00
+1.0,2013-02-26,2013-02-26 12:16:25,1,1,f7033ded09999cafd6a92cda259c1c9d.jpg,5.6,800,160,12:16:25
+1.0,2013-02-26,2013-02-26 12:14:26,1,1,cedd40fe314618d96874b6989271362f.jpg,5.6,800,200,12:14:26
+1.0,2013-01-29,2013-01-29 12:09:18,1,1,b606e8748893f3b76d3ac94aaeba63e8.jpg,5.6,800,100,12:09:18
+1.0,2012-03-20,2012-03-20 12:34:28,0,3,e6a3097500977865db9c7a58196b2c44.jpg,5.6,800,400,12:34:28
+1.0,2012-04-03,2012-04-03 09:45:04,0,3,82992796b3ae1a807a255eb01dba8f15.jpg,5.6,800,400,09:45:04
+1.0,2013-01-28,2013-01-28 12:37:41,1,1,9940d823cea685a072c0abefcd0d033b.jpg,5.6,800,100,12:37:41
+1.0,2013-02-20,2013-02-20 12:04:55,1,1,b5057e7a9a4944ad065fd9fb152a8000.jpg,5.6,800,200,12:04:55
+1.0,2013-02-26,2013-02-26 12:14:48,1,1,4249d251172fa5c3aa80602b89ab6911.jpg,5.6,800,200,12:14:48
+1.0,2013-02-26,2013-02-26 12:12:30,1,1,8ae9586240561dda58513cb2c48c55a6.jpg,5.6,800,200,12:12:30
+1.0,2012-03-20,2012-03-20 12:33:06,0,3,39a07111b0e664c843a40711ed1a9b24.jpg,5.6,800,400,12:33:06
+1.0,2013-01-28,2013-01-28 12:38:15,1,1,7dda520b4e851eef94386fa9cff28887.jpg,5.6,800,100,12:38:15
+1.0,2013-01-29,2013-01-29 16:25:19,1,1,f47506f83fa2dcf10dd0500982b63cd9.jpg,5.6,800,400,16:25:19
+1.0,2012-03-20,2012-03-20 11:08:47,0,3,7e93e1c3f56dbead508a0e8a4c9cdd83.jpg,5.6,800,400,11:08:47
+1.0,2012-03-20,2012-03-20 11:04:14,0,3,4124af98a3b616f45faed1f071be3ce1.jpg,5.6,800,400,11:04:14
+1.0,2013-01-29,2013-01-29 16:33:15,1,1,38cc75375b915d744c1948c8201bdc32.jpg,5.6,800,320,16:33:15
+1.0,2013-02-19,2013-02-19 16:14:52,1,1,16ae3ae36b06eda2992d181c69f436a6.jpg,5.6,800,250,16:14:52
+1.0,2013-02-20,2013-02-20 12:10:27,1,1,8d517adf22bd07b961821cf7f167c9b9.jpg,5.6,800,160,12:10:27
+1.0,2013-02-19,2013-02-19 16:29:45,1,1,bfa5cbefa2130bd2362b68c744bb15e1.jpg,5.6,800,320,16:29:45
+1.0,2012-04-03,2012-04-03 11:12:02,0,3,fdc19a86417288dc60b29ae95a99a406.jpg,5.6,800,400,11:12:02
+1.0,2012-03-20,2012-03-20 15:24:25,0,3,a25d841e7052e0be675dfa233f052105.jpg,5.6,800,400,15:24:25
+1.0,2013-01-29,2013-01-29 16:24:26,1,1,e5bcee0d10caac6efe410249a45cbb58.jpg,5.6,800,250,16:24:26
+1.0,2013-02-26,2013-02-26 12:43:59,1,1,25eaede5e76ce37a3f2a174486e12bf5.jpg,5.6,800,200,12:43:59
+1.0,2012-03-20,2012-03-20 13:57:59,0,3,ff0a7281142c03da0bc50550b22ab511.jpg,5.6,800,400,13:57:59
+1.0,2012-03-08,2012-03-08 12:12:09,0,3,24cfb531f654a0300b4a3cbea4a05d24.jpg,5.6,800,400,12:12:09
+1.0,2012-03-08,2012-03-08 12:10:15,0,3,abdd66d5dc84331c0ce6fd28593d076d.jpg,5.6,800,400,12:10:15
+1.0,2013-02-20,2013-02-20 12:20:17,1,1,05f53804018791ad89a9e7e0a26ee028.jpg,5.6,800,100,12:20:17
+1.0,2013-02-19,2013-02-19 16:20:47,1,1,76ce9f242087b1b3a9626166a865d98e.jpg,5.6,800,320,16:20:47
+1.0,2012-03-06,2012-03-06 13:32:39,0,3,7f26169929a4db40e18f117b07ea9869.jpg,5.6,800,400,13:32:39
+1.0,2012-03-20,2012-03-20 15:24:02,0,3,cb5115af4d6ef2630db3b80701baf033.jpg,5.6,800,400,15:24:02
+1.0,2013-01-28,2013-01-28 12:42:19,1,1,6682f9aa7de9fed05e602f37244677dd.jpg,5.6,800,100,12:42:19
+1.0,2013-02-13,2013-02-13 13:06:34,1,1,00247f87096bc308c349452d2d6f70b1.jpg,5.6,800,100,13:06:34
+1.0,2012-04-03,2012-04-03 09:38:41,0,3,4b64f7fa89397b2ab6eb044b621d21ce.jpg,5.6,800,400,09:38:41
+1.0,2012-04-03,2012-04-03 09:38:10,0,3,a2f7cedcf5a4167c4e89cc62fa216843.jpg,5.6,800,400,09:38:10
+1.0,2013-02-20,2013-02-20 12:25:12,1,1,147aab1e58d77c49b174f86c9462cbcb.jpg,5.6,800,100,12:25:12
+1.0,2013-02-19,2013-02-19 16:32:20,1,1,718b75fa9e240c6341c8684c48b4893e.jpg,5.6,800,320,16:32:20
+1.0,2012-03-06,2012-03-06 13:27:36,0,3,1031e4b0b319bbcda0ca5e5c9ab41e3f.jpg,5.6,800,400,13:27:36
+1.0,2013-02-19,2013-02-19 16:31:53,1,1,f09aa356b2c366c1f9b2cbcb2341046e.jpg,5.6,800,320,16:31:53
+1.0,2012-04-24,2012-04-24 09:41:16,0,3,5e324a82ece70c2741b57fb570b8cf68.jpg,5.6,800,400,09:41:16
+1.0,2013-02-26,2013-02-26 12:19:59,1,1,337aa5b0f688cb607645c6656d08ad2a.jpg,5.6,800,200,12:19:59
+1.0,2013-02-20,2013-02-20 12:19:32,1,1,d0494f0fa073b1cf0338a9b9f533e772.jpg,5.6,800,100,12:19:32
+1.0,2013-02-20,2013-02-20 12:32:17,1,1,c04a242a76c87967a1ed5f501e379c31.jpg,5.6,800,100,12:32:17
+1.0,2013-01-28,2013-01-28 12:42:15,1,1,f72fa456d1c61bed0b80c65c89e2fb0a.jpg,5.6,800,100,12:42:15
+1.0,2013-02-20,2013-02-20 12:11:35,1,1,5894661be6a013920351212b1056358f.jpg,5.6,800,250,12:11:35
+1.0,2013-01-29,2013-01-29 12:10:37,1,1,c763655d460957f6111312f0e82087e5.jpg,5.6,800,100,12:10:37
+1.0,2013-02-19,2013-02-19 16:18:11,1,1,f755a29ea6a0bc5a359b22e6f69b1be8.jpg,5.6,800,320,16:18:11
+1.0,2013-01-29,2013-01-29 16:33:18,1,1,ecc825b370643664266c4b05ead1c920.jpg,5.6,800,320,16:33:18
+1.0,2013-01-29,2013-01-29 16:28:59,1,1,58b56a611a8079f3938b3a4963d5b439.jpg,5.6,800,400,16:28:59
+1.0,2013-01-28,2013-01-28 12:38:50,1,1,7eeec09ea6d58da516626db3bb10e310.jpg,5.6,800,100,12:38:50
+1.0,2013-02-13,2013-02-13 13:22:43,1,1,66db9081a78504648106bb474314157e.jpg,5.6,800,100,13:22:43
+1.0,2012-03-20,2012-03-20 12:36:55,0,3,f1a1a365b8bc4c4470e6965e46e805ba.jpg,5.6,800,400,12:36:55
+1.0,2012-03-20,2012-03-20 11:09:21,0,3,20ef9d8d23cb0fbcb5f293e7540295e2.jpg,5.6,800,400,11:09:21
+1.0,2013-01-28,2013-01-28 12:33:17,1,1,fcdadc3508a231301f2f3b9f08a07dc0.jpg,5.6,800,100,12:33:17
+1.0,2012-03-20,2012-03-20 12:31:37,0,3,4fc238477311990aba35edb9b7ba25fe.jpg,5.6,800,400,12:31:37
+1.0,2012-04-03,2012-04-03 12:32:11,0,3,0042853117ec2ce74d93da9baa55b174.jpg,5.6,800,400,12:32:11
+1.0,2013-01-28,2013-01-28 12:33:28,1,1,40e1de4018c947360a5cb42a8c8496f1.jpg,5.6,800,100,12:33:28
+1.0,2013-01-29,2013-01-29 12:31:07,1,1,721da665be99b8b7f55a1915fd74e8a9.jpg,5.6,800,100,12:31:07
+1.0,2013-02-20,2013-02-20 12:25:04,1,1,e1e44f66b2a261571f3a86da7c527610.jpg,5.6,800,100,12:25:04
+1.0,2013-01-28,2013-01-28 12:36:17,1,1,535985addb4d5f248455848dbd0803f9.jpg,5.6,800,100,12:36:17
+1.0,2013-01-29,2013-01-29 12:16:55,1,1,5acda5a4106f8c65af9d027768917cf3.jpg,5.6,800,100,12:16:55
+1.0,2013-02-26,2013-02-26 12:04:16,1,1,97056a21bef2d204aab5af40e5f4c4c8.jpg,5.6,800,160,12:04:16
+1.0,2012-03-20,2012-03-20 13:56:42,0,3,d03894f6c6d9ef292881d9dc673a335a.jpg,5.6,800,400,13:56:42
+1.0,2012-03-20,2012-03-20 12:30:52,0,3,e8d6b1d458be39e04ef46d8767a1f3fe.jpg,5.6,800,400,12:30:52
+1.0,2012-03-06,2012-03-06 13:28:02,0,3,a9225901080bea5f0b3c1639803cac4c.jpg,5.6,800,400,13:28:02
+1.0,2012-03-20,2012-03-20 12:30:27,0,3,0e0280cd675b5c6213926765bb86e207.jpg,5.6,800,400,12:30:27
+1.0,2013-02-19,2013-02-19 16:27:20,1,1,928cd9afe0faf8d671f5bcd476e9c658.jpg,5.6,800,320,16:27:20
+1.0,2012-03-20,2012-03-20 13:58:42,0,3,8077979d25dfa65e19b5573e68419c36.jpg,5.6,800,400,13:58:42
+1.0,2012-03-20,2012-03-20 12:32:20,0,3,d52c3e304184dc736704292cf576fd8f.jpg,5.6,800,400,12:32:20
+1.0,2013-02-13,2013-02-13 12:59:00,1,1,d4481cbf84e1ede783125e8a76d18239.jpg,5.6,800,100,12:59:00
+1.0,2012-02-23,2012-02-23 14:56:48,0,3,d63330e0ec69e98a9b452c3ca3eafbc0.jpg,5.6,800,400,14:56:48
+1.0,2012-03-20,2012-03-20 11:07:07,0,3,ac322f02759014a153da24bae8668923.jpg,5.6,800,400,11:07:07
+1.0,2012-03-08,2012-03-08 14:53:46,0,3,96e442b0989fd941227794c9961768ef.jpg,5.6,800,400,14:53:46
+1.0,2012-03-20,2012-03-20 13:58:02,0,3,4f9505f710aff2f18ba6601dc269b458.jpg,5.6,800,400,13:58:02
+1.0,2012-04-03,2012-04-03 09:38:15,0,3,dfeeae029cfed1b363fd5550b4697c5e.jpg,5.6,800,400,09:38:15
+1.0,2012-03-13,2012-03-13 11:09:06,0,3,6199eee4df6d74e3f40e0924e0bb6627.jpg,5.6,800,400,11:09:06
+1.0,2013-02-20,2013-02-20 12:34:12,1,1,20ccae8c7659114227a1e6e447af62ff.jpg,5.6,800,100,12:34:12
+1.0,2013-02-26,2013-02-26 12:13:06,1,1,3bb40f33752043b2beb85c73f08877ca.jpg,5.6,800,160,12:13:06
+1.0,2013-01-29,2013-01-29 12:10:49,1,1,5cfb795dc64f97d7fbcbf2855977d4ed.jpg,5.6,800,100,12:10:49
+1.0,2013-01-29,2013-01-29 16:24:03,1,1,8d99a3730f285783ae53288c37540bec.jpg,5.6,800,640,16:24:03
+1.0,2013-01-29,2013-01-29 12:14:57,1,1,4dc05e67b7b32ededfb27edea1a1b690.jpg,5.6,800,100,12:14:57
+1.0,2012-04-03,2012-04-03 09:39:51,0,3,625745c27b3b1d2633b8b251e04b0983.jpg,5.6,800,400,09:39:51
+1.0,2012-03-06,2012-03-06 13:27:34,0,3,7688b0b69328a87f05abeced5fb490cc.jpg,5.6,800,400,13:27:34
+1.0,2013-02-19,2013-02-19 16:27:00,1,1,328242e3b23c419b5530114d6341ece9.jpg,5.6,800,320,16:27:00
+1.0,2013-01-29,2013-01-29 12:10:36,1,1,c73d87537154f9767f239f7603221d71.jpg,5.6,800,100,12:10:36
+1.0,2012-03-20,2012-03-20 12:29:11,0,3,c43e3e72953382435c3a01c953f07af5.jpg,5.6,800,400,12:29:11
+1.0,2012-04-03,2012-04-03 11:05:32,0,3,daa9373baa4808c3336b1157f6a4923b.jpg,5.6,800,400,11:05:32
+1.0,2013-02-19,2013-02-19 16:25:06,1,1,52f70c62692cbdc6357fcfb0bfe2aa3a.jpg,5.6,800,320,16:25:06
+1.0,2012-03-20,2012-03-20 15:23:08,0,3,2a6b3aeb295b36b2b751e3bd68a8d242.jpg,5.6,800,400,15:23:08
+1.0,2012-02-23,2012-02-23 14:55:45,0,3,f800e9a3023332c463ae50a3847c7c59.jpg,5.6,800,400,14:55:45
+1.0,2013-02-20,2013-02-20 12:09:22,1,1,ab07ebed98e8e70bd0fc4782857527aa.jpg,5.6,800,200,12:09:22
+1.0,2012-04-03,2012-04-03 09:41:15,0,3,f3d9a53823144f8e74f3ee3f6de956a0.jpg,5.6,800,400,09:41:15
+1.0,2012-03-08,2012-03-08 12:13:17,0,3,47700e141070952958e447ccdb235a4a.jpg,5.6,800,400,12:13:17
+1.0,2012-03-06,2012-03-06 13:29:52,0,3,bb08c267da21a7be44351ce297882ae7.jpg,5.6,800,400,13:29:52
+1.0,2012-03-20,2012-03-20 11:08:24,0,3,cca16e98dd748b7310d5538059f7b8ef.jpg,5.6,800,400,11:08:24
+1.0,2013-02-19,2013-02-19 16:27:52,1,1,9f02ec45421352b5b89c24f4ee5bd685.jpg,5.6,800,320,16:27:52
+1.0,2013-02-26,2013-02-26 12:32:13,1,1,78266cfcaef3fd69d13269479c3d6acb.jpg,5.6,800,200,12:32:13
+1.0,2013-02-20,2013-02-20 12:06:56,1,1,6edb898c35360c1bc24aad17f9283544.jpg,5.6,800,160,12:06:56
+1.0,2012-03-20,2012-03-20 11:09:22,0,3,22ba93472773da8179d07f1f0e5bc4d5.jpg,5.6,800,400,11:09:22
+1.0,2013-02-26,2013-02-26 12:16:19,1,1,99702d273b4c1d0e56e85ea553e53f94.jpg,5.6,800,200,12:16:19
+1.0,2012-04-03,2012-04-03 11:11:24,0,3,9631affd12fb6e1b78b8d4f87f77be5f.jpg,5.6,800,400,11:11:24
+1.0,2013-02-20,2013-02-20 12:11:07,1,1,4a5e3f595cd385512412c6ad7bad4cc4.jpg,5.6,800,160,12:11:07
+1.0,2012-03-13,2012-03-13 11:13:16,0,3,1975f077a4ba63a834b6b2d023bb827a.jpg,5.6,800,400,11:13:16
+1.0,2012-04-03,2012-04-03 09:35:55,0,3,86537b020febcd17a63bc065c55f6970.jpg,5.6,800,400,09:35:55
+1.0,2013-02-26,2013-02-26 12:12:46,1,1,1ef606bf9a07faf39c6b5aa65f739ff5.jpg,5.6,800,160,12:12:46
+1.0,2012-03-20,2012-03-20 13:56:30,0,3,6d98e72c2239b47af7e8c5e1536662c2.jpg,5.6,800,400,13:56:30
+1.0,2012-04-03,2012-04-03 11:06:29,0,3,fd5723edbcc50150c7cdbd06fe2f9111.jpg,5.6,800,400,11:06:29
+1.0,2013-02-20,2013-02-20 12:09:27,1,1,84f83c1eb9ef028b06866d277e4ab4c2.jpg,5.6,800,200,12:09:27
+1.0,2012-03-20,2012-03-20 15:23:08,0,3,a342266db720615942d16c722b1bc561.jpg,5.6,800,400,15:23:08
+1.0,2012-04-03,2012-04-03 11:08:01,0,3,02caa06b15995ef73f09cf2cc70329cf.jpg,5.6,800,400,11:08:01
+1.0,2012-04-03,2012-04-03 11:05:40,0,3,0595876599879df4fbaac01c0cf86443.jpg,5.6,800,400,11:05:40
+1.0,2012-04-03,2012-04-03 11:13:03,0,3,4f7da8925d91c3d3d4cd2855c72721c6.jpg,5.6,800,400,11:13:03
+1.0,2012-03-06,2012-03-06 13:30:08,0,3,88485e95a22d8c1fb386128512dc88d6.jpg,5.6,800,400,13:30:08
+1.0,2012-04-03,2012-04-03 11:08:20,0,3,a45f61699ba758ccc4a551d0a1b9d3d7.jpg,5.6,800,400,11:08:20
+1.0,2013-01-28,2013-01-28 12:42:01,1,1,81ff560b3293dac1639549636d7c96b3.jpg,5.6,800,100,12:42:01
+1.0,2013-01-29,2013-01-29 16:34:32,1,1,34418e14518c04e8c259f551a0880f50.jpg,5.6,800,320,16:34:32
+1.0,2013-01-29,2013-01-29 12:19:14,1,1,4e48914ae2721e080ac77522036a0b88.jpg,5.6,800,100,12:19:14
+1.0,2013-01-29,2013-01-29 16:21:15,1,1,4efc839a263fbe198ec6215591934164.jpg,5.6,800,200,16:21:15
+1.0,2013-02-19,2013-02-19 16:22:13,1,1,e3308c3d9008c9dbc61eea8aa27a7ffc.jpg,5.6,800,320,16:22:13
+1.0,2013-01-29,2013-01-29 16:32:24,1,1,fa7779989628aa388ea946195cfc7d64.jpg,5.6,800,500,16:32:24
+1.0,2012-04-03,2012-04-03 11:08:17,0,3,b32b285d1c6ffa2da84178778f777a83.jpg,5.6,800,400,11:08:17
+1.0,2013-01-29,2013-01-29 12:07:40,1,1,9b729754b00aac5e7d0bc51216417888.jpg,5.6,800,100,12:07:40
+1.0,2013-01-28,2013-01-28 12:38:13,1,1,2618971c70706dba56b3f0a441ffc875.jpg,5.6,800,100,12:38:13
+1.0,2013-01-29,2013-01-29 12:16:48,1,1,eb18eeb69d00888585a1c40bc8b6aca8.jpg,5.6,800,100,12:16:48
+1.0,2012-03-20,2012-03-20 13:56:38,0,3,62e09fcb452a89914cdd2df4b34bdeb6.jpg,5.6,800,400,13:56:38
+1.0,2012-04-03,2012-04-03 11:04:06,0,3,c64d6defdea92af777aa1da3fdc6728f.jpg,5.6,800,400,11:04:06
+1.0,2012-03-20,2012-03-20 12:31:58,0,3,820055e36cb0c4448d7a3c4e5db9ad27.jpg,5.6,800,400,12:31:58
+1.0,2012-03-20,2012-03-20 09:43:35,0,3,bf098fb456d92fbfa765973f37b2eacc.jpg,5.6,800,400,09:43:35
+1.0,2012-03-20,2012-03-20 12:30:22,0,3,bbe340c8e6fa38c9cc19aba0752830ac.jpg,5.6,800,400,12:30:22
+1.0,2012-04-03,2012-04-03 09:37:25,0,3,ca8e80f58d11b5b86525316981a8bd61.jpg,5.6,800,400,09:37:25
+1.0,2013-01-29,2013-01-29 12:17:07,1,1,58e8c5f24ffa35c74e2ad57f0cbf9160.jpg,5.6,800,100,12:17:07
+1.0,2012-03-22,2012-03-22 11:06:27,0,3,1b46990f0cd8d99ed5472cb81ab6b411.jpg,5.6,800,400,11:06:27
+1.0,2012-04-03,2012-04-03 09:36:56,0,3,61e858d669700424d1e29e0e57aca317.jpg,5.6,800,400,09:36:56
+1.0,2012-03-22,2012-03-22 11:07:04,0,3,4e1ddb1b82f6e996f3f9dbf6d2301bf1.jpg,5.6,800,400,11:07:04
+1.0,2012-03-22,2012-03-22 11:08:19,0,3,619bb330e4488877a1ac8d7758471aff.jpg,5.6,800,400,11:08:19
+1.0,2013-01-29,2013-01-29 16:28:59,1,1,2caf25e5beadd608569580dc2aeeb764.jpg,5.6,800,400,16:28:59
+1.0,2012-04-03,2012-04-03 09:36:09,0,3,478c47beeda5be3ae22e7bc033825d5c.jpg,5.6,800,400,09:36:09
+1.0,2012-04-03,2012-04-03 09:42:25,0,3,3317d802b0094c811de903bf969b3ccd.jpg,5.6,800,400,09:42:25
+1.0,2013-01-29,2013-01-29 12:11:56,1,1,9bf8e33115d54f5345160cc65d81047c.jpg,5.6,800,100,12:11:56
+1.0,2013-01-29,2013-01-29 12:11:49,1,1,22933830b77aa63833022b432de432c6.jpg,5.6,800,100,12:11:49
+1.0,2012-03-22,2012-03-22 11:09:34,0,3,a13a73dbb94d8fd25774f4d8a58a0c3f.jpg,5.6,800,400,11:09:34
+1.0,2012-04-03,2012-04-03 12:31:02,0,3,67396c5fb27a1c32bb0724f05d4f2bf7.jpg,5.6,800,400,12:31:02
+1.0,2012-03-06,2012-03-06 13:28:01,0,3,2e3123641865e89431b8fc56c86ff19b.jpg,5.6,800,400,13:28:01
+1.0,2013-01-28,2013-01-28 12:40:23,1,1,584f7f04c85c9cb884c2f78ece0ed44e.jpg,5.6,800,100,12:40:23
+1.0,2013-02-20,2013-02-20 12:13:18,1,1,1b10036347265909b295f58a7c03bb10.jpg,5.6,800,160,12:13:18
+1.0,2013-02-13,2013-02-13 13:06:21,1,1,a70b29a88b9f5c322495b89bae027990.jpg,5.6,800,100,13:06:21
+1.0,2013-02-20,2013-02-20 12:03:50,1,1,37343b439f33e96a935cf1a97abd1753.jpg,5.6,800,200,12:03:50
+1.0,2012-04-03,2012-04-03 11:07:02,0,3,2ec4d1f35af7aeab511cfeeab4bb1d1d.jpg,5.6,800,400,11:07:02
+1.0,2013-01-28,2013-01-28 12:33:31,1,1,4c624547c434ef5ae180491ae102ca4f.jpg,5.6,800,100,12:33:31
+1.0,2013-02-19,2013-02-19 16:28:18,1,1,79bbbc05bb610a37d02a0585cee96f5d.jpg,5.6,800,500,16:28:18
+1.0,2012-03-20,2012-03-20 15:25:02,0,3,232c39bed6a36ae7ae2debc8bd4686b8.jpg,5.6,800,400,15:25:02
+1.0,2012-03-20,2012-03-20 15:25:00,0,3,303cd6c7b06081c03e74b34a4f90f23b.jpg,5.6,800,400,15:25:00
+1.0,2012-04-03,2012-04-03 09:38:44,0,3,e6fcd8e0b56e3d7b9fea3c46b5445c18.jpg,5.6,800,400,09:38:44
+1.0,2013-01-28,2013-01-28 12:34:03,1,1,efb61804130d7055202a9da2b06110ad.jpg,5.6,800,100,12:34:03
+1.0,2012-03-20,2012-03-20 13:59:11,0,3,9ff33b9837cd7bd636ec7cde7f2dc2eb.jpg,5.6,800,400,13:59:11
+1.0,2012-03-08,2012-03-08 12:10:20,0,3,e9e42faeacaa362f1f2b5f56b6235769.jpg,5.6,800,400,12:10:20
+1.0,2012-03-20,2012-03-20 11:07:19,0,3,ab1181b71b6f751f38f9d47d566f5d84.jpg,5.6,800,400,11:07:19
+1.0,2012-04-03,2012-04-03 11:04:48,0,3,05c2742c31c6b523b93cdcae971685c7.jpg,5.6,800,400,11:04:48
+1.0,2012-03-20,2012-03-20 15:24:20,0,3,f862ed1bd8bb58a6cfaa262d4523944d.jpg,5.6,800,400,15:24:20
+1.0,2012-03-20,2012-03-20 09:41:27,0,3,3b4d7fa65ec3705cb739c38d6ff017fa.jpg,5.6,800,400,09:41:27
+1.0,2013-02-19,2013-02-19 16:30:22,1,1,5ecd2acfe71b251f35446b70ad0d134c.jpg,5.6,800,320,16:30:22
+1.0,2013-02-20,2013-02-20 12:42:53,1,1,05f8f73ba169c712d74929630a9c983c.jpg,5.6,800,100,12:42:53
+1.0,2013-01-29,2013-01-29 12:27:54,1,1,169669b319855bb25a839440978410a6.jpg,5.6,800,100,12:27:54
+1.0,2012-03-20,2012-03-20 12:32:21,0,3,db121470ed4e24b10635ec8d165c21fd.jpg,5.6,800,400,12:32:21
+1.0,2012-03-06,2012-03-06 13:32:01,0,3,9c1e0059386bbf919fccda3a4e79140c.jpg,5.6,800,400,13:32:01
+1.0,2012-03-08,2012-03-08 10:47:22,0,3,b3da5c1819bc7f94a54c6728936cbb3e.jpg,5.6,800,400,10:47:22
+1.0,2012-03-20,2012-03-20 15:23:04,0,3,67093b5967a5618fec19504cc26133b4.jpg,5.6,800,400,15:23:04
+1.0,2013-02-26,2013-02-26 12:32:15,1,1,d1ba92434e7474d4542b9aefc307978b.jpg,5.6,800,200,12:32:15
+1.0,2013-02-26,2013-02-26 12:17:47,1,1,18ff2bce41a8aeb47e27465f215bc0bf.jpg,5.6,800,200,12:17:47
+1.0,2013-01-29,2013-01-29 12:18:04,1,1,c3a250319d62d503443cda049f0c24ed.jpg,5.6,800,100,12:18:04
+1.0,2013-01-29,2013-01-29 16:24:28,1,1,dffcd43edda80b37c9f16dcd908952c1.jpg,5.6,800,250,16:24:28
+1.0,2012-03-20,2012-03-20 15:25:12,0,3,dacfb49e7f182a3242d4ba4b4afc71cf.jpg,5.6,800,400,15:25:12
+1.0,2012-04-03,2012-04-03 09:38:16,0,3,43693051f042f358b893df0f5848e04d.jpg,5.6,800,400,09:38:16
+1.0,2012-03-20,2012-03-20 13:57:32,0,3,754d9aa2e91800d8fe7cc9ef724d5e5b.jpg,5.6,800,400,13:57:32
+1.0,2013-01-29,2013-01-29 16:29:07,1,1,2f97ad77bed33e947c750a6ae00cb30e.jpg,5.6,800,400,16:29:07
+1.0,2012-04-24,2012-04-24 09:40:01,0,3,e662d5103d4e5cb624a4ab822456228a.jpg,5.6,800,400,09:40:01
+1.0,2012-03-22,2012-03-22 11:08:48,0,3,7eefde3f9b9f1f86e5648f5740341e2d.jpg,5.6,800,400,11:08:48
+1.0,2013-01-28,2013-01-28 12:34:07,1,1,bfe247b05645041abd967166abbbf541.jpg,5.6,800,100,12:34:07
+1.0,2013-02-20,2013-02-20 12:22:11,1,1,9ee8176c146e205fa24c0651a4f4aca8.jpg,5.6,800,100,12:22:11
+1.0,2013-02-26,2013-02-26 12:08:11,1,1,221acae5ff8855975ddfbdaeef897548.jpg,5.6,800,200,12:08:11
+1.0,2013-01-29,2013-01-29 12:14:28,1,1,712d7b2675586312117873f32b875e86.jpg,5.6,800,100,12:14:28
+1.0,2013-02-19,2013-02-19 16:26:35,1,1,36def8e3171312d95d328cc748ab5228.jpg,5.6,800,320,16:26:35
+1.0,2012-03-20,2012-03-20 13:58:34,0,3,2f3d6c7c7995f13db10e2082bb3f73fe.jpg,5.6,800,400,13:58:34
+1.0,2012-03-20,2012-03-20 12:29:03,0,3,71737f9c6dac59bea2aecbddc8533ab8.jpg,5.6,800,400,12:29:03
+1.0,2013-02-13,2013-02-13 12:17:45,1,1,54724e18426dba0f40f59f33153a670b.jpg,5.6,800,100,12:17:45
+1.0,2012-03-20,2012-03-20 12:34:28,0,3,77ab654d1df8745a013b3c90cfafe58b.jpg,5.6,800,400,12:34:28
+1.0,2012-03-08,2012-03-08 12:13:14,0,3,d01a1ecc7a1bf2a25df5a57bedea0ce2.jpg,5.6,800,400,12:13:14
+1.0,2012-03-20,2012-03-20 11:06:29,0,3,4e526d3c2dc97f9d469655d03f3d83c9.jpg,5.6,800,400,11:06:29
+1.0,2013-02-20,2013-02-20 12:25:21,1,1,d7cf37492f2a756fe3c1add36b720532.jpg,5.6,800,100,12:25:21
+1.0,2013-01-29,2013-01-29 12:20:00,1,1,681e524b94c3ad84868b218d5121afec.jpg,5.6,800,100,12:20:00
+1.0,2013-01-29,2013-01-29 12:09:07,1,1,6f98824ab2f5f7218d74e200160654e0.jpg,5.6,800,100,12:09:07
+1.0,2012-03-06,2012-03-06 13:28:21,0,3,e22afef685cde88cdede8b794efd89b1.jpg,5.6,800,400,13:28:21
+1.0,2012-03-20,2012-03-20 09:42:11,0,3,9b42c9b4eb83a0c69f2abea3984be3b7.jpg,5.6,800,400,09:42:11
+1.0,2013-01-28,2013-01-28 12:33:38,1,1,80d40169028308cab3e87f3d4fec90f4.jpg,5.6,800,100,12:33:38
+1.0,2012-04-12,2012-04-12 13:57:59,0,3,3f3b4ce99cc797f664244f889fd79be2.jpg,5.6,800,400,13:57:59
+1.0,2013-01-29,2013-01-29 12:11:38,1,1,97f593bbe1dce160946b0a35389e709a.jpg,5.6,800,100,12:11:38
+1.0,2013-02-19,2013-02-19 16:29:12,1,1,a2bf1b42f4921164a1692d0819b6c3ba.jpg,5.6,800,320,16:29:12
+1.0,2012-04-03,2012-04-03 09:39:32,0,3,c1af19fc9e3c33377210053fc7d69854.jpg,5.6,800,400,09:39:32
+1.0,2013-01-28,2013-01-28 12:35:37,1,1,fa9e0dfb2733d4c83ea6f38df780e73b.jpg,5.6,800,100,12:35:37
+1.0,2012-03-08,2012-03-08 10:46:33,0,3,621874034d75ae4e28e3830a27fbcf20.jpg,5.6,800,400,10:46:33
+1.0,2013-01-29,2013-01-29 16:34:05,1,1,8c67d3e7ae24d7bbf0729ccfb417bfd1.jpg,5.6,800,500,16:34:05
+1.0,2012-04-03,2012-04-03 11:05:04,0,3,dd8f568563bba8a86b45b914fc8c184c.jpg,5.6,800,400,11:05:04
+1.0,2013-02-19,2013-02-19 16:19:36,1,1,5b18cc763511a48109607fa5fa5cdeae.jpg,5.6,800,400,16:19:36
+1.0,2013-02-19,2013-02-19 16:18:51,1,1,372ab51b127e2736fb08263a978bf768.jpg,5.6,800,320,16:18:51
+1.0,2012-04-03,2012-04-03 12:38:05,0,3,4daec8383e536f84a6d41d585f561b79.jpg,5.6,800,400,12:38:05
+1.0,2013-02-20,2013-02-20 12:25:05,1,1,fdb9b252f60feececee9e5217bfec4d8.jpg,5.6,800,100,12:25:05
+1.0,2013-02-20,2013-02-20 12:22:37,1,1,e9e36b6e4783a1e7436817ec7d73923f.jpg,5.6,800,100,12:22:37
+1.0,2013-02-26,2013-02-26 12:26:33,1,1,eeb7363c8120035e0d83612a10e31690.jpg,5.6,800,200,12:26:33
+1.0,2012-04-03,2012-04-03 09:38:44,0,3,5985e520d7b801794e7f932259d0cdd0.jpg,5.6,800,400,09:38:44
+1.0,2013-01-29,2013-01-29 16:29:39,1,1,76edbeec8d62a557747d12a558901065.jpg,5.6,800,320,16:29:39
+1.0,2013-02-19,2013-02-19 16:25:15,1,1,bb4dddc4615428729f266c108679bb15.jpg,5.6,800,320,16:25:15
+1.0,2013-02-20,2013-02-20 12:24:04,1,1,950cb7da7d7395c639383379c8f2401b.jpg,5.6,800,100,12:24:04
+1.0,2012-04-03,2012-04-03 09:37:41,0,3,9ec2dfbd90e9560c01a47e04a00eddda.jpg,5.6,800,400,09:37:41
+1.0,2012-03-08,2012-03-08 10:47:38,0,3,c60fb1a906cbf5ca88d2721d7c2974df.jpg,5.6,800,400,10:47:38
+1.0,2013-02-26,2013-02-26 12:07:31,1,1,00cfda1a1ac4c9ad3c5183d4363d0f36.jpg,5.6,800,200,12:07:31
+1.0,2013-02-20,2013-02-20 12:44:20,1,1,13d81fa20329fece1c968663d5d27b84.jpg,5.6,800,100,12:44:20
+1.0,2012-04-24,2012-04-24 11:07:00,0,3,e2542f503e084981262df5ec56cfa7da.jpg,5.6,800,400,11:07:00
+1.0,2013-02-20,2013-02-20 12:14:17,1,1,c1bee9d9bb3590cfb8dffd68cd200957.jpg,5.6,800,125,12:14:17
+1.0,2012-03-20,2012-03-20 15:23:25,0,3,c34b5f8334fd2e11e827679605f08100.jpg,5.6,800,400,15:23:25
+1.0,2012-03-20,2012-03-20 12:35:09,0,3,f708d86e74b99d20e2e61966ea0cfccb.jpg,5.6,800,400,12:35:09
+1.0,2012-04-03,2012-04-03 09:44:32,0,3,8bb2a0aaf18eae4a193ce6b2199f11eb.jpg,5.6,800,400,09:44:32
+1.0,2012-03-20,2012-03-20 09:46:32,0,3,027db58e4496d057f48f029f6780096b.jpg,5.6,800,400,09:46:32
+1.0,2013-02-20,2013-02-20 12:04:53,1,1,14c57752fc255835b58266a034cd4a37.jpg,5.6,800,200,12:04:53
+1.0,2012-03-20,2012-03-20 15:24:01,0,3,ee4d4dd273604b0a4115f950a486b6a2.jpg,5.6,800,400,15:24:01
+1.0,2013-02-20,2013-02-20 12:44:17,1,1,e3bffecc837c280262828c88de83bfe8.jpg,5.6,800,100,12:44:17
+1.0,2012-03-20,2012-03-20 09:42:05,0,3,66e9cc7c52f562966fb4ff86fcce96da.jpg,5.6,800,400,09:42:05
+1.0,2012-03-08,2012-03-08 12:13:08,0,3,c2e9759e933be5b2468d2e19daa090cd.jpg,5.6,800,400,12:13:08
+1.0,2012-03-20,2012-03-20 13:59:21,0,3,a08c5027210443a715821b90e7fdd589.jpg,5.6,800,400,13:59:21
+1.0,2013-01-28,2013-01-28 12:41:25,1,1,159ee819750174aa24d99c68f6611734.jpg,5.6,800,100,12:41:25
+1.0,2012-04-03,2012-04-03 11:12:05,0,3,af479402e4889816c4f01fead3fe18f2.jpg,5.6,800,400,11:12:05
+1.0,2012-04-03,2012-04-03 09:39:27,0,3,c287018ee7e274ea9dd1c91faff7bffe.jpg,5.6,800,400,09:39:27
+1.0,2013-02-26,2013-02-26 12:09:45,1,1,6ff86d7da6555f0e65792457a667bc70.jpg,5.6,800,200,12:09:45
+1.0,2013-01-28,2013-01-28 12:42:35,1,1,c72e14eeffa3f45e8425203faa0530a5.jpg,5.6,800,100,12:42:35
+1.0,2013-02-26,2013-02-26 12:07:16,1,1,bfe2314efdabb8a958f9acef9f92e61b.jpg,5.6,800,200,12:07:16
+1.0,2012-04-03,2012-04-03 11:07:58,0,3,d0894953ebb2d5e14f58e153a3c1f58b.jpg,5.6,800,400,11:07:58
+1.0,2012-03-20,2012-03-20 13:55:40,0,3,f1829d689f9f3e2c0b9031a6dd7f49a6.jpg,5.6,800,400,13:55:40
+1.0,2012-03-20,2012-03-20 12:32:08,0,3,e3653a388717873770ec3f39226b0acb.jpg,5.6,800,400,12:32:08
+1.0,2013-01-28,2013-01-28 12:36:18,1,1,d5810d68697ee20a1a739890b4142e87.jpg,5.6,800,100,12:36:18
+1.0,2013-02-13,2013-02-13 13:12:35,1,1,29d2c3ce8a8d3b155fb3f05b2ae639af.jpg,5.6,800,100,13:12:35
+1.0,2012-03-20,2012-03-20 12:36:53,0,3,93f8c45bd3752eece00021e437aac152.jpg,5.6,800,400,12:36:53
+1.0,2013-01-28,2013-01-28 12:34:02,1,1,b5b9eed011035d1ce8eb464ec0f792f8.jpg,5.6,800,100,12:34:02
+1.0,2012-03-22,2012-03-22 11:07:01,0,3,a03a7c1c6d4b6b60193eb22e3bc98863.jpg,5.6,800,400,11:07:01
+1.0,2012-04-03,2012-04-03 09:38:13,0,3,868371ce7c0e4c19ab2184aff236fd65.jpg,5.6,800,400,09:38:13
+1.0,2013-02-19,2013-02-19 16:28:53,1,1,51521348cfda5b3a94afadf7c0b86f18.jpg,5.6,800,320,16:28:53
+1.0,2012-04-03,2012-04-03 11:05:50,0,3,2e942866f4ed9689f03eb15a446cf53d.jpg,5.6,800,400,11:05:50
+1.0,2012-03-20,2012-03-20 12:33:57,0,3,f6eee4623a888f60a56314877fe9dd25.jpg,5.6,800,400,12:33:57
+1.0,2013-02-26,2013-02-26 12:10:55,1,1,9e9b9cec6f9c2100b8a354fe2ca13752.jpg,5.6,800,160,12:10:55
+1.0,2012-04-03,2012-04-03 12:33:08,0,3,0d1137c0b527d6234c9fab17cc61addd.jpg,5.6,800,400,12:33:08
+1.0,2013-01-28,2013-01-28 12:33:39,1,1,002e2cbe8e3166addb2baf9b56dcef98.jpg,5.6,800,100,12:33:39
+1.0,2013-02-19,2013-02-19 16:18:07,1,1,0a58b29bdd74e80f7f613265d658d47f.jpg,5.6,800,320,16:18:07
+1.0,2013-01-28,2013-01-28 12:36:12,1,1,5275303fdad27112edf2584a9b8e0a07.jpg,5.6,800,100,12:36:12
+1.0,2012-04-03,2012-04-03 11:10:20,0,3,7bd51432842d3d4ea886c52064ee3dd3.jpg,5.6,800,400,11:10:20
+1.0,2012-03-08,2012-03-08 10:43:48,0,3,536365d4a3fb26c148ba027dc4cc92b3.jpg,5.6,800,400,10:43:48
+1.0,2013-01-28,2013-01-28 12:42:25,1,1,098084b9ed6237eaf1073b5f85b2da2b.jpg,5.6,800,100,12:42:25
+1.0,2012-03-08,2012-03-08 10:47:35,0,3,adcbcfcfe7c9beed9ab2d84595999591.jpg,5.6,800,400,10:47:35
+1.0,2012-04-03,2012-04-03 11:12:03,0,3,3b7fc2ff980742df7b99ed95e1495a81.jpg,5.6,800,400,11:12:03
+1.0,2012-03-20,2012-03-20 09:47:32,0,3,13d149affe4396da454c2f851f75e9b2.jpg,5.6,800,400,09:47:32
+1.0,2012-04-03,2012-04-03 11:11:06,0,3,2b1fcf652e9a43467f860a9172b73703.jpg,5.6,800,400,11:11:06
+1.0,2013-02-20,2013-02-20 12:25:26,1,1,a7cdf4ebaa3b528dfc966c0bc9a01d4a.jpg,5.6,800,100,12:25:26
+1.0,2013-02-20,2013-02-20 12:03:45,1,1,ceb3fe70736d9f7d036a4f81a553d615.jpg,5.6,800,160,12:03:45
+1.0,2013-02-13,2013-02-13 12:57:03,1,1,929def906ede72ab480262b8c7907562.jpg,5.6,800,100,12:57:03
+1.0,2012-04-03,2012-04-03 09:39:31,0,3,24194beef43f1631455aa4f0a44daad7.jpg,5.6,800,400,09:39:31
+1.0,2013-02-13,2013-02-13 13:06:31,1,1,fa7f6cf45298b880be3766a54e42f9a4.jpg,5.6,800,100,13:06:31
+1.0,2012-04-03,2012-04-03 11:05:13,0,3,53ac404ade6d0dbf20274a33834fa557.jpg,5.6,800,400,11:05:13
+1.0,2013-01-29,2013-01-29 16:35:16,1,1,636377c6a39252c5509d4ec9a9746015.jpg,5.6,800,320,16:35:16
+1.0,2013-02-13,2013-02-13 12:50:25,1,1,fc384c7f9b52e8efb065ade53430f138.jpg,5.6,800,100,12:50:25
+1.0,2013-01-29,2013-01-29 12:33:44,1,1,61d03329305c673077ab5d61c9d5acef.jpg,5.6,800,100,12:33:44
+1.0,2012-04-24,2012-04-24 09:41:46,0,3,4f2f57d905c204fe0de568a4f7f5dbe4.jpg,5.6,800,400,09:41:46
+1.0,2012-03-20,2012-03-20 11:07:19,0,3,214b62bfeb6010bc888a753c3d992d01.jpg,5.6,800,400,11:07:19
+1.0,2012-04-03,2012-04-03 12:31:32,0,3,a84c641f47b1e25c9c17e452141cc899.jpg,5.6,800,400,12:31:32
+1.0,2012-04-03,2012-04-03 09:41:05,0,3,1dcf37803703938f43a04f263aba17a4.jpg,5.6,800,400,09:41:05
+1.0,2013-01-28,2013-01-28 12:39:54,1,1,5cf262599c26e7519bbb70b9e1e640f8.jpg,5.6,800,100,12:39:54
+1.0,2012-04-03,2012-04-03 11:12:22,0,3,b7aec7a687bdc60a6cd53889ad2c386f.jpg,5.6,800,400,11:12:22
+1.0,2013-01-28,2013-01-28 12:38:44,1,1,a7aeec233f81f4e46382353a953818a9.jpg,5.6,800,100,12:38:44
+1.0,2013-02-26,2013-02-26 12:26:00,1,1,aefff644b04ff38416341875ed1b30bb.jpg,5.6,800,200,12:26:00
+1.0,2012-04-03,2012-04-03 11:08:40,0,3,13cf818b92de031c93dae9325a4d57f2.jpg,5.6,800,400,11:08:40
+1.0,2012-04-03,2012-04-03 11:08:02,0,3,5de52cd73a402a8d153036e2cf0d0d7a.jpg,5.6,800,400,11:08:02
+1.0,2012-03-22,2012-03-22 11:09:51,0,3,71a2e25b1760d5948d65d12c11cf471f.jpg,5.6,800,400,11:09:51
+1.0,2012-03-20,2012-03-20 09:45:06,0,3,4b9c6465ad2d67940de001adc475b369.jpg,5.6,800,400,09:45:06
+1.0,2013-01-29,2013-01-29 16:30:39,1,1,7576fec8922c37258ec9bd21d0f00ea7.jpg,5.6,800,500,16:30:39
+1.0,2013-02-26,2013-02-26 12:14:54,1,1,d290c12a567d97ab8ec64b79c0b9b3f7.jpg,5.6,800,200,12:14:54
+1.0,2013-01-29,2013-01-29 12:33:35,1,1,09db428b48777e542f78cf29d0b0e6aa.jpg,5.6,800,100,12:33:35
+1.0,2012-03-20,2012-03-20 11:05:39,0,3,fb8e06dba6008d1620dbee5138038b93.jpg,5.6,800,400,11:05:39
+1.0,2012-03-20,2012-03-20 09:41:24,0,3,e061f75aa748ce33f3770010bd3fb421.jpg,5.6,800,400,09:41:24
+1.0,2012-03-20,2012-03-20 13:56:21,0,3,8cfd274903420d68975387ba65e23b98.jpg,5.6,800,400,13:56:21
+1.0,2012-03-22,2012-03-22 11:06:53,0,3,4ec4e9d8c7d59d795bd654a1ceb2a6d9.jpg,5.6,800,400,11:06:53
+1.0,2012-03-20,2012-03-20 13:55:54,0,3,83ba64ff480462fd08b4a285c38098f2.jpg,5.6,800,400,13:55:54
+1.0,2013-01-29,2013-01-29 16:28:29,1,1,df87e805c00964f7be1531d769133496.jpg,5.6,800,320,16:28:29
+1.0,2013-01-29,2013-01-29 16:23:09,1,1,cbf44b534e9dc00af0da0942d4ec9f6f.jpg,5.6,800,400,16:23:09
+1.0,2012-03-20,2012-03-20 15:23:38,0,3,9efb0034757ea0e660806972890cb35d.jpg,5.6,800,400,15:23:38
+1.0,2013-01-28,2013-01-28 12:40:58,1,1,9412d7058a307ed1bc0859fd1fcff1e4.jpg,5.6,800,100,12:40:58
+1.0,2013-01-28,2013-01-28 12:41:46,1,1,2c2876f164f52083b063b729640339e0.jpg,5.6,800,100,12:41:46
+1.0,2013-01-29,2013-01-29 12:27:49,1,1,6fb355aaa9e5bbebfbeac7fa3f8754fb.jpg,5.6,800,100,12:27:49
+1.0,2013-02-13,2013-02-13 12:54:57,1,1,0f10c2dd29deeef163225cf36a561724.jpg,5.6,800,100,12:54:57
+1.0,2012-03-20,2012-03-20 09:41:26,0,3,bef2dc08a8d841b673cf290734ecc76f.jpg,5.6,800,400,09:41:26
+1.0,2012-04-25,2012-04-25 10:59:39,0,3,faac450ddeef78f16874f2456a569b61.jpg,5.6,800,400,10:59:39
+1.0,2013-02-19,2013-02-19 16:30:14,1,1,2b6e5c89ece404397cf64cb9b635f91c.jpg,5.6,800,320,16:30:14
+1.0,2012-04-03,2012-04-03 11:10:39,0,3,0d844a2b609123434e0b40eac1324cd6.jpg,5.6,800,400,11:10:39
+1.0,2013-02-13,2013-02-13 12:03:22,1,1,0c214d389ee5e55938b298f7de14aacd.jpg,5.6,800,100,12:03:22
+1.0,2013-02-19,2013-02-19 16:22:48,1,1,2adc81233b9db06587a818dd0662ea98.jpg,5.6,800,320,16:22:48
+1.0,2012-02-23,2012-02-23 14:54:39,0,3,7ed074a7ecd9790901267c75c08b0528.jpg,5.6,800,400,14:54:39
+1.0,2012-04-03,2012-04-03 11:11:14,0,3,959e85d0c4122986c834b464e892310e.jpg,5.6,800,400,11:11:14
+1.0,2013-01-29,2013-01-29 12:11:59,1,1,65123042847add30525c2066345965e3.jpg,5.6,800,100,12:11:59
+1.0,2012-04-03,2012-04-03 09:41:19,0,3,acef68370330ce36a90a796a448bdba5.jpg,5.6,800,400,09:41:19
+1.0,2013-01-29,2013-01-29 16:23:23,1,1,1ce9d04f8736ee5cda12f63058034e68.jpg,5.6,800,250,16:23:23
+1.0,2012-03-22,2012-03-22 11:06:47,0,3,6eebf81338c059dbfa585f22070e8cbf.jpg,5.6,800,400,11:06:47
+1.0,2013-01-28,2013-01-28 12:42:38,1,1,311fc008df0b4bab22447ac697428028.jpg,5.6,800,100,12:42:38
+1.0,2013-02-13,2013-02-13 12:14:58,1,1,9fca87496126183a96a24d9862ed018e.jpg,5.6,800,100,12:14:58
+1.0,2013-01-28,2013-01-28 12:40:09,1,1,216f869d088eb76de6af6ae4fac0e883.jpg,5.6,800,100,12:40:09
+1.0,2012-03-20,2012-03-20 15:22:26,0,3,3d8bd05a4d305590d4ee57017d9605b4.jpg,5.6,800,400,15:22:26
+1.0,2013-01-29,2013-01-29 16:24:33,1,1,c0d2465ec9f314bfb4572540b3b3b595.jpg,5.6,800,250,16:24:33
+1.0,2013-01-29,2013-01-29 16:33:23,1,1,897b5469e5bac4d61ad0b3e02f3c06dd.jpg,5.6,800,320,16:33:23
+1.0,2012-03-20,2012-03-20 09:40:26,0,3,2028efaf85f32748327ec61203e55670.jpg,5.6,800,400,09:40:26
+1.0,2013-01-29,2013-01-29 12:09:00,1,1,2280d1ff7388c95a8f4c0acd5e9fb8f3.jpg,5.6,800,100,12:09:00
+1.0,2012-03-22,2012-03-22 11:04:49,0,3,07ab50abb7f55939856b0f63d08095fb.jpg,5.6,800,400,11:04:49
+1.0,2012-03-22,2012-03-22 11:11:29,0,3,582be92c0daa29cd2734c8a3453b229b.jpg,5.6,800,400,11:11:29
+1.0,2013-02-26,2013-02-26 12:07:32,1,1,aa5b19b05f6ae74be7aab187aea4df3a.jpg,5.6,800,200,12:07:32
+1.0,2012-04-03,2012-04-03 11:07:57,0,3,8841f16910634d754a60d2e754f6dc71.jpg,5.6,800,400,11:07:57
+1.0,2013-01-29,2013-01-29 12:19:04,1,1,7063804ea6c60812c8d4f847ee3a71f2.jpg,5.6,800,100,12:19:04
+1.0,2013-02-20,2013-02-20 12:12:20,1,1,b22c8167be52dd5a85fc00bcf6a83001.jpg,5.6,800,160,12:12:20
+1.0,2012-04-24,2012-04-24 09:45:31,0,3,8f9eaa81b8042f58e5b569b6d208da06.jpg,5.6,800,400,09:45:31
+1.0,2012-03-20,2012-03-20 15:24:14,0,3,7c47675c402bca8223bf5274f7eb3716.jpg,5.6,800,400,15:24:14
+1.0,2012-03-20,2012-03-20 15:23:54,0,3,a842779431b3348528dbfe21ebcf5863.jpg,5.6,800,400,15:23:54
+1.0,2012-03-20,2012-03-20 11:04:13,0,3,8b6747ba4bd584619801650070eadc9c.jpg,5.6,800,400,11:04:13
+1.0,2013-02-26,2013-02-26 12:07:56,1,1,f8232c66cdd397d89ac9bfe1d013fcd2.jpg,5.6,800,200,12:07:56
+1.0,2013-02-26,2013-02-26 12:11:02,1,1,f94d0de78cd562fecb76f4e3541b3593.jpg,5.6,800,200,12:11:02
+1.0,2012-04-03,2012-04-03 09:38:11,0,3,28ceb5a5abf76b61519cd7f1ca7fdfe8.jpg,5.6,800,400,09:38:11
+1.0,2013-02-19,2013-02-19 16:25:36,1,1,f854ba9da032720bf703101fcaeba960.jpg,5.6,800,320,16:25:36
+1.0,2013-01-28,2013-01-28 12:40:46,1,1,5216c4630ba6ee122e66a92e4b50d570.jpg,5.6,800,100,12:40:46
+1.0,2013-01-29,2013-01-29 16:26:20,1,1,85e73c1621387c01749d1ab885a840f6.jpg,5.6,800,250,16:26:20
+1.0,2013-01-29,2013-01-29 16:32:28,1,1,2d68eccb8611deb4fe4adaa0a48f1e71.jpg,5.6,800,800,16:32:28
+1.0,2013-02-13,2013-02-13 12:48:11,1,1,647e267a597edfdaaf59fb76ea5f3a39.jpg,5.6,800,100,12:48:11
+1.0,2013-02-20,2013-02-20 12:14:46,1,1,1be26f1b4c23cc02b209a0edbe371e60.jpg,5.6,800,125,12:14:46
+1.0,2012-03-22,2012-03-22 11:06:33,0,3,602c046f24538a39b7897608ce109739.jpg,5.6,800,400,11:06:33
+1.0,2012-03-08,2012-03-08 10:47:14,0,3,dbd6dffacba6ca939194424b6952860a.jpg,5.6,800,400,10:47:14
+1.0,2012-04-03,2012-04-03 09:44:16,0,3,cfe42716dd8ef64523ad0fcd2e364b2b.jpg,5.6,800,400,09:44:16
+1.0,2012-03-20,2012-03-20 12:34:35,0,3,b1e33db867df4a190695356284f5a07d.jpg,5.6,800,400,12:34:35
+1.0,2013-01-28,2013-01-28 12:38:57,1,1,e85196ddede52ebe73a05bd750bdd03f.jpg,5.6,800,100,12:38:57
+1.0,2012-03-20,2012-03-20 13:57:25,0,3,d0d05b6c92e0a7f7c3c49087d30aeea6.jpg,5.6,800,400,13:57:25
+1.0,2012-04-03,2012-04-03 12:27:25,0,3,6ce5247238a256f03f39cd971cca0afd.jpg,5.6,800,400,12:27:25
+1.0,2012-03-13,2012-03-13 11:09:32,0,3,c44e469720f1f18a198cee66e4be23b7.jpg,5.6,800,400,11:09:32
+1.0,2012-03-20,2012-03-20 12:34:36,0,3,a0b4dca298e4cb7b9abf08327d5ae03c.jpg,5.6,800,400,12:34:36
+1.0,2013-01-29,2013-01-29 16:21:23,1,1,545908c3c8cb4cda24e092419313af85.jpg,5.6,800,320,16:21:23
+1.0,2012-03-20,2012-03-20 12:30:43,0,3,4a9ad47cbd2405a531be80ec46ad2413.jpg,5.6,800,400,12:30:43
+1.0,2012-03-20,2012-03-20 13:55:44,0,3,6468545105f6f9bb14d9aa0d5bfca1d5.jpg,5.6,800,400,13:55:44
+1.0,2013-01-28,2013-01-28 12:41:33,1,1,6bec49d09c2ba29520e53d8279cf0d1e.jpg,5.6,800,100,12:41:33
+1.0,2012-03-20,2012-03-20 12:33:04,0,3,3dbf412085820b360fd719799b733bde.jpg,5.6,800,400,12:33:04
+1.0,2013-02-13,2013-02-13 13:29:12,1,1,71ba720a2977acdcb7b1ffe74bf5211b.jpg,5.6,800,100,13:29:12
+1.0,2013-02-20,2013-02-20 12:17:29,1,1,7474c3b3648429090be460699de8a92c.jpg,5.6,800,100,12:17:29
+1.0,2012-03-20,2012-03-20 09:43:42,0,3,1239839525c1ee7d2cbe267287681892.jpg,5.6,800,400,09:43:42
+1.0,2013-01-28,2013-01-28 12:36:08,1,1,cae4eddb94ada7f2396fcd5162b41575.jpg,5.6,800,100,12:36:08
+1.0,2013-02-13,2013-02-13 13:15:23,1,1,862f0d343fcabf7b137a2d43af296c8b.jpg,5.6,800,100,13:15:23
+1.0,2013-02-13,2013-02-13 12:33:16,1,1,600424165a7795c8c436f12a8ebc6073.jpg,5.6,800,100,12:33:16
+1.0,2013-02-13,2013-02-13 13:12:10,1,1,77c7b0a50210797873108655bb331ce8.jpg,5.6,800,100,13:12:10
+1.0,2013-02-13,2013-02-13 13:14:58,1,1,dbb0003df18122289f2e09a9b35bd0e0.jpg,5.6,800,100,13:14:58
+1.0,2012-03-20,2012-03-20 09:46:27,0,3,1f85d23075c5fdb09d8cf2109ef9a661.jpg,5.6,800,400,09:46:27
+1.0,2012-03-06,2012-03-06 13:29:17,0,3,a41119cce4947f0a2a16dfb553b258a0.jpg,5.6,800,400,13:29:17
+1.0,2012-03-20,2012-03-20 09:41:14,0,3,43f541df1b90bb29168c32d44ed851aa.jpg,5.6,800,400,09:41:14
+1.0,2012-03-22,2012-03-22 11:04:05,0,3,3c3985d74c906cc9c9464a96af153f5e.jpg,5.6,800,400,11:04:05
+1.0,2012-04-03,2012-04-03 09:38:47,0,3,be309848e50aeea40089041955727610.jpg,5.6,800,400,09:38:47
+1.0,2012-03-20,2012-03-20 09:42:01,0,3,155610f4778cb9d3ef95be668b4c216e.jpg,5.6,800,400,09:42:01
+1.0,2012-03-20,2012-03-20 12:32:06,0,3,970426b69d1fe2978870e1bc3f3871be.jpg,5.6,800,400,12:32:06
+1.0,2012-04-03,2012-04-03 11:11:56,0,3,080929ae30eb1e1cc40256c4f6e62456.jpg,5.6,800,400,11:11:56
+1.0,2012-04-03,2012-04-03 11:09:44,0,3,0e4650e976d5436df27c92be1de8408f.jpg,5.6,800,400,11:09:44
+1.0,2012-03-06,2012-03-06 13:29:40,0,3,d15138aa0968208459c5a58e767a3ad2.jpg,5.6,800,400,13:29:40
+1.0,2013-02-13,2013-02-13 13:00:47,1,1,15ef464147ad97ee056e9833a5c6b6c6.jpg,5.6,800,100,13:00:47
+1.0,2012-04-26,2012-04-26 12:37:11,0,3,b6b93ea0096ca8984c08ac168023bad0.jpg,5.6,800,400,12:37:11
+1.0,2012-04-03,2012-04-03 11:07:29,0,3,77be92944f5e500bcb50f17044d31f47.jpg,5.6,800,400,11:07:29
+1.0,2012-04-03,2012-04-03 11:08:18,0,3,9f447f53a523167cefdcf0504e3f2b4a.jpg,5.6,800,400,11:08:18
+1.0,2013-02-20,2013-02-20 12:13:39,1,1,4fd5709634dfe967c7de9bf9365d59a7.jpg,5.6,800,200,12:13:39
+1.0,2013-02-13,2013-02-13 12:55:20,1,1,3bffe172558e890dad4e53321843fd6c.jpg,5.6,800,100,12:55:20
+1.0,2013-01-29,2013-01-29 16:22:41,1,1,7fdac474ce4bf29b5cf031b3c2856f5c.jpg,5.6,800,500,16:22:41
+1.0,2013-01-28,2013-01-28 12:40:53,1,1,67420e67c815c5527631fc80fe95a1e9.jpg,5.6,800,100,12:40:53
+1.0,2013-01-28,2013-01-28 12:41:57,1,1,626bb16dd92f6686be7200d18ea5d8be.jpg,5.6,800,100,12:41:57
+1.0,2012-03-20,2012-03-20 13:55:44,0,3,230afdc4a8bb8c39cc93a708c8159d4d.jpg,5.6,800,400,13:55:44
+1.0,2013-01-29,2013-01-29 12:27:46,1,1,7346bdb35ed3be276dd6d9eb7dff4890.jpg,5.6,800,100,12:27:46
+1.0,2012-03-20,2012-03-20 13:58:07,0,3,40db755b0f569fc2b2c2de9d0e392d9d.jpg,5.6,800,400,13:58:07
+1.0,2013-01-29,2013-01-29 16:31:44,1,1,f2a6cc38bb555ecd0d9ab779b9a3f94f.jpg,5.6,800,320,16:31:44
+1.0,2012-03-20,2012-03-20 13:57:35,0,3,7feb8b73ad95feecd8fede8453c0462f.jpg,5.6,800,400,13:57:35
+1.0,2013-01-29,2013-01-29 16:33:46,1,1,6e5332ed125896986ffa98c2e7b351cf.jpg,5.6,800,640,16:33:46
+1.0,2013-02-26,2013-02-26 12:10:46,1,1,52b7262edb5e6fced0eee8c06d25c552.jpg,5.6,800,160,12:10:46
+1.0,2012-03-22,2012-03-22 11:11:19,0,3,ce97e090c18f64028624aecc52c44993.jpg,5.6,800,400,11:11:19
+1.0,2012-03-06,2012-03-06 13:28:12,0,3,91d538a95a3471d3ddca560d81d97122.jpg,5.6,800,400,13:28:12
+1.0,2012-04-03,2012-04-03 09:42:18,0,3,1a46fb9367efc1584f1c4cce7262730f.jpg,5.6,800,400,09:42:18
+1.0,2012-03-20,2012-03-20 12:32:07,0,3,06b3066ac092ba386ae9a81c89b33181.jpg,5.6,800,400,12:32:07
+1.0,2012-03-08,2012-03-08 10:47:46,0,3,fa8e9e9e16144c25aaee0880bccbf163.jpg,5.6,800,400,10:47:46
+1.0,2013-02-20,2013-02-20 12:42:52,1,1,bc22d685f78c3fae5fa6ebaa25572b42.jpg,5.6,800,100,12:42:52
+1.0,2013-02-19,2013-02-19 16:28:47,1,1,95deb81d383eb16e2b99b263d47e1e9b.jpg,5.6,800,320,16:28:47
+1.0,2013-02-26,2013-02-26 12:06:57,1,1,712476ff03c5f3fec689df3459e2d197.jpg,5.6,800,160,12:06:57
+1.0,2013-01-28,2013-01-28 12:40:11,1,1,88d41836d298449e91ff72c9428c9750.jpg,5.6,800,100,12:40:11
+1.0,2013-01-28,2013-01-28 12:42:15,1,1,3da2dcc5104a9d8bc4fb29d1d277aa9a.jpg,5.6,800,100,12:42:15
+1.0,2012-03-22,2012-03-22 11:09:53,0,3,3ddf02340e57c8b65889fadd1a4008d2.jpg,5.6,800,400,11:09:53
+1.0,2013-02-13,2013-02-13 13:15:50,1,1,fbceb6df258cf39d5040b1a9d1cbe04a.jpg,5.6,800,100,13:15:50
+1.0,2012-03-20,2012-03-20 12:32:03,0,3,661573eb60d3d74b9ca92edcd8c887d1.jpg,5.6,800,400,12:32:03
+1.0,2012-04-03,2012-04-03 11:05:07,0,3,679cea1f6b714619740182c1b56ef1d2.jpg,5.6,800,400,11:05:07
+1.0,2012-03-22,2012-03-22 11:04:02,0,3,1a2d7f75eac6a385ef9cc2fd7a462e49.jpg,5.6,800,400,11:04:02
+1.0,2013-01-28,2013-01-28 12:37:18,1,1,b7ea95f67ca152ad921bbe489b1c76ca.jpg,5.6,800,100,12:37:18
+1.0,2013-02-26,2013-02-26 12:09:35,1,1,bf10aed91e56d8f63dc6ad0606700fe9.jpg,5.6,800,200,12:09:35
+1.0,2013-01-29,2013-01-29 16:30:52,1,1,28e0beda950fda50ec76a0e298582ec3.jpg,5.6,800,640,16:30:52
+1.0,2012-03-20,2012-03-20 09:46:48,0,3,0545414f8be81f783a8b54d6ff12aef1.jpg,5.6,800,400,09:46:48
+1.0,2012-03-20,2012-03-20 15:23:01,0,3,221ff5bc8a3513f8efa1df485a3810f7.jpg,5.6,800,400,15:23:01
+1.0,2013-02-19,2013-02-19 16:14:32,1,1,429f6c25b7f551d9e856f7f47f2cf4a1.jpg,5.6,800,320,16:14:32
+1.0,2013-02-20,2013-02-20 12:19:41,1,1,69fa2fd8510207025beea04504ac013f.jpg,5.6,800,100,12:19:41
+1.0,2012-04-03,2012-04-03 11:04:02,0,3,a7b2a0f7954c33bf598271e4e90f119b.jpg,5.6,800,400,11:04:02
+1.0,2013-02-20,2013-02-20 12:20:12,1,1,5f0660c6e1c16ba2a45985e053f1284a.jpg,5.6,800,100,12:20:12
+1.0,2013-01-29,2013-01-29 12:19:52,1,1,92edc0d4f3837976d04e00f02e6f6d8b.jpg,5.6,800,100,12:19:52
+1.0,2013-02-26,2013-02-26 12:07:52,1,1,2065fe703a2d69b737a99e588c28784e.jpg,5.6,800,200,12:07:52
+1.0,2013-02-13,2013-02-13 12:02:16,1,1,e0c1bb14063677fbe70369b32a9b2b65.jpg,5.6,800,100,12:02:16
+1.0,2013-01-29,2013-01-29 12:33:40,1,1,dbf221011733653ded7a2ae275e2dfc6.jpg,5.6,800,100,12:33:40
+1.0,2012-04-17,2012-04-17 12:28:05,0,3,7301b1b2bf98f0c9ad01fe5e7ef376f4.jpg,5.6,800,400,12:28:05
+1.0,2013-01-28,2013-01-28 12:42:43,1,1,c680616f6223951ca7ac686a6b7f949b.jpg,5.6,800,100,12:42:43
+1.0,2013-02-13,2013-02-13 12:46:04,1,1,1ed2248843300d7df63e91402f6b6a00.jpg,5.6,800,100,12:46:04
+1.0,2013-01-29,2013-01-29 12:11:57,1,1,a2d2fb97a5dc5293a5f67fe5e68f079c.jpg,5.6,800,100,12:11:57
+1.0,2012-03-06,2012-03-06 13:31:26,0,3,8b352e56b5dca9f47a4b017082226114.jpg,5.6,800,400,13:31:26
+1.0,2012-03-20,2012-03-20 12:33:48,0,3,1d9494721a2f0bf450bde5407bd8d95f.jpg,5.6,800,400,12:33:48
+1.0,2013-01-29,2013-01-29 16:31:25,1,1,35db7ab1b797f67d2eac99f6892ce83b.jpg,5.6,800,320,16:31:25
+1.0,2013-01-29,2013-01-29 16:33:55,1,1,d6435c2f529bd155be1090ed80508d78.jpg,5.6,800,400,16:33:55
+1.0,2013-01-29,2013-01-29 12:09:26,1,1,293e298a68977343fa9b69926b42c96f.jpg,5.6,800,100,12:09:26
+1.0,2013-01-29,2013-01-29 12:15:01,1,1,2d7e300fff173d2073fd4dbf1dd04582.jpg,5.6,800,100,12:15:01
+1.0,2012-04-03,2012-04-03 11:11:09,0,3,bf288621e5a24804ecd9a09179299700.jpg,5.6,800,400,11:11:09
+1.0,2012-03-20,2012-03-20 12:31:43,0,3,4b3ede14c3e846e5ee3482fa691eebfc.jpg,5.6,800,400,12:31:43
+1.0,2012-03-22,2012-03-22 11:06:00,0,3,e637ee9a2104e1a8414dcd4181326b04.jpg,5.6,800,400,11:06:00
+1.0,2013-02-19,2013-02-19 16:26:01,1,1,20a1987821243544fd87ea8e075707e5.jpg,5.6,800,320,16:26:01
+1.0,2013-01-28,2013-01-28 12:37:50,1,1,856858f078cee163db3fca980606e65d.jpg,5.6,800,100,12:37:50
+1.0,2012-04-03,2012-04-03 11:08:03,0,3,e34c7a4d2714f138fc7c52620ac4afba.jpg,5.6,800,400,11:08:03
+1.0,2013-02-19,2013-02-19 16:28:40,1,1,5d013dced5bc0a32a461ed6462655bed.jpg,5.6,800,320,16:28:40
+1.0,2012-03-13,2012-03-13 11:13:16,0,3,593036a7f2f5006fa653932c936e703a.jpg,5.6,800,400,11:13:16
+1.0,2013-02-20,2013-02-20 12:21:40,1,1,eb1b5126cc7fe4e83106a50386d16ec4.jpg,5.6,800,100,12:21:40
+1.0,2013-02-26,2013-02-26 12:06:14,1,1,0d72f71c7bc4f5ead81453c32f296f1e.jpg,5.6,800,200,12:06:14
+1.0,2013-02-26,2013-02-26 12:33:09,1,1,abf42de35482eec9916a4cb6abb9a531.jpg,5.6,800,200,12:33:09
+1.0,2012-03-08,2012-03-08 12:12:08,0,3,7701f54be00d4e02ac63363f2580aa42.jpg,5.6,800,400,12:12:08
+1.0,2012-03-06,2012-03-06 13:27:33,0,3,a6af2ac0ad26deb3286cb1213c4d71ed.jpg,5.6,800,400,13:27:33
+1.0,2013-02-26,2013-02-26 12:09:49,1,1,ac15c3de2363dab612cdedb4db0d45d0.jpg,5.6,800,200,12:09:49
+1.0,2013-01-28,2013-01-28 12:36:04,1,1,1c8b9e4d247ae5b787f50feab27f443f.jpg,5.6,800,100,12:36:04
+1.0,2013-01-29,2013-01-29 16:24:08,1,1,8fa700a87e027202f8b7cacb21421e37.jpg,5.6,800,500,16:24:08
+1.0,2012-04-03,2012-04-03 11:10:15,0,3,1a98f21b677d4027d80a9c8ac0b12332.jpg,5.6,800,400,11:10:15
+1.0,2012-03-20,2012-03-20 13:58:55,0,3,0c1ff53f45967bbd702845fd0742c39d.jpg,5.6,800,400,13:58:55
+1.0,2013-02-26,2013-02-26 12:43:56,1,1,8b85b94016d8d7512feeef84160f8388.jpg,5.6,800,200,12:43:56
+1.0,2012-03-20,2012-03-20 12:35:11,0,3,b7ffb217bb18e7a1c9f1c33e0a3067f1.jpg,5.6,800,400,12:35:11
+1.0,2012-03-06,2012-03-06 13:27:33,0,3,80665012773ca20767d00ce7b5fe7e0c.jpg,5.6,800,400,13:27:33
+1.0,2012-03-06,2012-03-06 13:28:25,0,3,9861172ad89bd539035b5813f3284eb5.jpg,5.6,800,400,13:28:25
+1.0,2013-01-29,2013-01-29 12:08:24,1,1,2247ef01ee9ddc8f410e1269603305ea.jpg,5.6,800,100,12:08:24
+1.0,2012-03-06,2012-03-06 13:28:17,0,3,9468716e1b2dcd36ccd112aff003a7ad.jpg,5.6,800,400,13:28:17
+1.0,2012-04-03,2012-04-03 11:11:35,0,3,cf027550417aeb13e0736f2b67bd38eb.jpg,5.6,800,400,11:11:35
+1.0,2012-03-08,2012-03-08 12:12:31,0,3,960299322602165d9df2648b94a50a6b.jpg,5.6,800,400,12:12:31
+1.0,2012-04-03,2012-04-03 09:43:23,0,3,8f3b23cdd0d32a7c41b411c7ab97e784.jpg,5.6,800,400,09:43:23
+1.0,2013-02-19,2013-02-19 16:29:01,1,1,efd69945f95e1082bbec3b0db50cfcc3.jpg,5.6,800,320,16:29:01
+1.0,2013-02-20,2013-02-20 12:19:22,1,1,80b48d5e5abc64a4170372e6cb619c2e.jpg,5.6,800,100,12:19:22
+1.0,2013-02-26,2013-02-26 12:35:45,1,1,354e3d25f07605812e3ec40024e32ae8.jpg,5.6,800,200,12:35:45
+1.0,2013-01-29,2013-01-29 12:08:24,1,1,00dc4c0a2d8c81e44a8f418917133312.jpg,5.6,800,100,12:08:24
+1.0,2013-02-26,2013-02-26 12:21:28,1,1,87650cb752b5b15a318081458ed8df32.jpg,5.6,800,200,12:21:28
+1.0,2013-01-29,2013-01-29 12:11:02,1,1,160efb52b15d4b16189e514dee52fae9.jpg,5.6,800,100,12:11:02
+1.0,2013-01-28,2013-01-28 12:33:56,1,1,560b816150eec368c04381e4b88bf864.jpg,5.6,800,100,12:33:56
+1.0,2012-03-20,2012-03-20 13:56:58,0,3,18b97fd53508478b04fc11a3a5216cbd.jpg,5.6,800,400,13:56:58
+1.0,2012-03-20,2012-03-20 11:05:49,0,3,fb9247291a11e5b460bc08c6aad230d1.jpg,5.6,800,400,11:05:49
+1.0,2013-02-19,2013-02-19 16:26:58,1,1,fe630c7aec4cc6ac44e751fe24e90db1.jpg,5.6,800,320,16:26:58
+1.0,2013-01-29,2013-01-29 16:35:16,1,1,7d91f9a3426ea89f6891b2ad2855be66.jpg,5.6,800,320,16:35:16
+1.0,2013-01-28,2013-01-28 12:33:37,1,1,722b67ffe9ef4d3b48543c70a59da10b.jpg,5.6,800,100,12:33:37
+1.0,2012-03-13,2012-03-13 11:12:18,0,3,9dd7b3cbcd10766ae0753ac6a1b106be.jpg,5.6,800,400,11:12:18
+1.0,2012-03-20,2012-03-20 15:23:29,0,3,fba113106ab0f2502f00ff8877eaf0c6.jpg,5.6,800,400,15:23:29
+1.0,2013-01-28,2013-01-28 12:40:52,1,1,d25f9bf844a41ec7db5cfe4b6b4d6bc5.jpg,5.6,800,100,12:40:52
+1.0,2012-04-03,2012-04-03 12:31:09,0,3,1d0efedce1db16cb9ddc1ce0eb9df79f.jpg,5.6,800,400,12:31:09
+1.0,2012-03-08,2012-03-08 14:57:24,0,3,b6b457a2939475c644eff3a3e31b0fb8.jpg,5.6,800,400,14:57:24
+1.0,2012-03-06,2012-03-06 13:27:36,0,3,a0a20512925d099726aaa82a6109b5cc.jpg,5.6,800,400,13:27:36
+1.0,2013-01-28,2013-01-28 12:37:19,1,1,ecd927cfe1e6ba80a0194c09bea4f565.jpg,5.6,800,100,12:37:19
+1.0,2013-01-29,2013-01-29 12:16:29,1,1,abb5831aa6e785daae2e0dd68444d483.jpg,5.6,800,100,12:16:29
+1.0,2012-03-20,2012-03-20 15:22:28,0,3,659aec5d70ce8db99eec745d69fa080a.jpg,5.6,800,400,15:22:28
+1.0,2012-03-22,2012-03-22 14:00:56,0,3,f5b7c03d652373051bc5963c194b40a0.jpg,5.6,800,400,14:00:56
+1.0,2013-02-19,2013-02-19 16:26:58,1,1,9daab4a170d7f46039018d50056fefad.jpg,5.6,800,320,16:26:58
+1.0,2012-04-24,2012-04-24 09:47:22,0,3,4a9c5c01675ef1a8eff590953f219875.jpg,5.6,800,400,09:47:22
+1.0,2013-01-29,2013-01-29 12:19:03,1,1,991c8981c8ecb81032f2e2d431cb6c4e.jpg,5.6,800,100,12:19:03
+1.0,2012-04-03,2012-04-03 11:05:29,0,3,6155810789a019af49b55ae85b6029ec.jpg,5.6,800,400,11:05:29
+1.0,2012-03-06,2012-03-06 13:28:59,0,3,382cf018282810185ea6f09a0ef4754e.jpg,5.6,800,400,13:28:59
+1.0,2012-03-20,2012-03-20 12:29:41,0,3,0a068ee8ff3c6fb71947c731a220db5f.jpg,5.6,800,400,12:29:41
+1.0,2012-03-20,2012-03-20 13:56:13,0,3,6acd87bab38d458954b6447639c5f764.jpg,5.6,800,400,13:56:13
+1.0,2013-01-29,2013-01-29 12:11:04,1,1,231dd89879f445b456d81c03270e91c7.jpg,5.6,800,100,12:11:04
+1.0,2013-01-29,2013-01-29 16:21:28,1,1,63118a998a169b20ff1105feb6452913.jpg,5.6,800,320,16:21:28
+1.0,2012-04-26,2012-04-26 11:07:51,0,3,299e752eb8d5514cd9077377751905a2.jpg,5.6,800,400,11:07:51
+1.0,2013-02-13,2013-02-13 13:08:17,1,1,2ef4010d464926f87ba40110dabacf40.jpg,5.6,800,100,13:08:17
+1.0,2013-01-29,2013-01-29 12:31:42,1,1,efc37f0d53a84194d008b88836443b4c.jpg,5.6,800,100,12:31:42
+1.0,2012-03-08,2012-03-08 12:10:14,0,3,c368a9452e70537c3a8ffe4a5c09ffab.jpg,5.6,800,400,12:10:14
+1.0,2013-01-29,2013-01-29 16:25:49,1,1,2905d66ce661a00e925e0dd93e284a58.jpg,5.6,800,250,16:25:49
+1.0,2012-04-03,2012-04-03 11:12:04,0,3,fb62568bd1fb6e0e66fcaafb61b39862.jpg,5.6,800,400,11:12:04
+1.0,2012-03-22,2012-03-22 11:06:28,0,3,f0b77e9e66dd69f4035619ab34409113.jpg,5.6,800,400,11:06:28
+1.0,2013-01-28,2013-01-28 12:38:31,1,1,8e101137938e48927f2c3f23e9799227.jpg,5.6,800,100,12:38:31
+1.0,2013-02-13,2013-02-13 12:17:44,1,1,8d7d124d427d1869c472bcebd32bd0fd.jpg,5.6,800,100,12:17:44
+1.0,2012-04-03,2012-04-03 09:36:52,0,3,e079d4ccec35f15c8320ba4fe0092117.jpg,5.6,800,400,09:36:52
+1.0,2013-02-20,2013-02-20 12:03:17,1,1,325ffb8c0ff9e2873455441af2796b62.jpg,5.6,800,160,12:03:17
+1.0,2013-01-28,2013-01-28 12:35:35,1,1,f5f22a6e5dfbf692c3f1925e41d1c77e.jpg,5.6,800,100,12:35:35
+1.0,2013-02-26,2013-02-26 12:07:43,1,1,257d5d9a4c721c7e5c8f4df7c64e48bf.jpg,5.6,800,200,12:07:43
+1.0,2013-01-29,2013-01-29 12:27:32,1,1,f28740e2ab2adf71468ab61f3605a10d.jpg,5.6,800,100,12:27:32
+1.0,2013-01-29,2013-01-29 16:31:20,1,1,f3322fe2cd85a2e611277c3bb6c691dd.jpg,5.6,800,250,16:31:20
+1.0,2013-01-28,2013-01-28 12:42:04,1,1,f4ebbe8b29405644a8299dd35b8ad0ee.jpg,5.6,800,100,12:42:04
+1.0,2012-03-20,2012-03-20 12:30:24,0,3,d6b7c54c5cfc7002b90636309af33fbe.jpg,5.6,800,400,12:30:24
+1.0,2013-02-26,2013-02-26 12:04:47,1,1,581115c8f6393b8db68e8998712c85e1.jpg,5.6,800,160,12:04:47
+1.0,2013-02-20,2013-02-20 12:09:02,1,1,892fd97a9a22ba13d15857c6db5f5728.jpg,5.6,800,200,12:09:02
+1.0,2013-01-29,2013-01-29 16:32:34,1,1,8fc9e789f344a18a80cdcdc294d2094b.jpg,5.6,800,320,16:32:34
+1.0,2013-01-29,2013-01-29 16:30:06,1,1,dfeaada3820d549a542a310e5ee71ee3.jpg,5.6,800,400,16:30:06
+1.0,2013-02-19,2013-02-19 16:17:13,1,1,27a0cbe9ef6eac1a1f3d4b69cea29361.jpg,5.6,800,320,16:17:13
+1.0,2013-01-28,2013-01-28 12:34:04,1,1,b3c3fc391b56cacfdbdfdf325aa0a734.jpg,5.6,800,100,12:34:04
+1.0,2013-02-19,2013-02-19 16:22:32,1,1,97805930b72e70868bd25f95d0d68f90.jpg,5.6,800,500,16:22:32
+1.0,2012-04-03,2012-04-03 11:08:09,0,3,762d514cc3018f3d41d0be36bc74fb9f.jpg,5.6,800,400,11:08:09
+1.0,2013-02-26,2013-02-26 12:15:20,1,1,c8e369376b77ae161c444570e8f98e06.jpg,5.6,800,200,12:15:20
+1.0,2012-03-22,2012-03-22 11:08:18,0,3,404f7204fcb85a4488ce940b673bfec4.jpg,5.6,800,400,11:08:18
+1.0,2013-01-29,2013-01-29 12:33:53,1,1,78e10fb1134d0de56dc33eef0e99de31.jpg,5.6,800,100,12:33:53
+1.0,2012-03-20,2012-03-20 12:36:50,0,3,6c2de83eaac21dd69c9c0db3f380ddd4.jpg,5.6,800,400,12:36:50
+1.0,2012-03-22,2012-03-22 11:09:06,0,3,700674d548b1994d23a068cfeea68700.jpg,5.6,800,400,11:09:06
+1.0,2013-02-13,2013-02-13 13:15:20,1,1,538c94b1d709421909a3af97bb357a67.jpg,5.6,800,100,13:15:20
+1.0,2012-03-20,2012-03-20 15:23:00,0,3,50711b9f582d0b0a69bbc7baef66d9a7.jpg,5.6,800,400,15:23:00
+1.0,2012-04-03,2012-04-03 09:38:49,0,3,0fe033c1f59111ebc680f4f5bc34fde7.jpg,5.6,800,400,09:38:49
+1.0,2012-03-22,2012-03-22 11:04:57,0,3,204e8423c7a049bb52d0e2b5c7e817f9.jpg,5.6,800,400,11:04:57
+1.0,2012-03-08,2012-03-08 12:12:11,0,3,95203df6f0de6b2b4a9aafc93e48edc2.jpg,5.6,800,400,12:12:11
+1.0,2012-04-03,2012-04-03 11:07:54,0,3,6288dc537487196974d707c385826e82.jpg,5.6,800,400,11:07:54
+1.0,2013-02-19,2013-02-19 16:24:52,1,1,de80b14fcaa609b1e7593661e7468ac2.jpg,5.6,800,400,16:24:52
+1.0,2012-04-03,2012-04-03 11:05:54,0,3,f9ad00f052c86324ba948070d720a1ca.jpg,5.6,800,400,11:05:54
+1.0,2013-02-19,2013-02-19 16:33:12,1,1,3dde9072d826c75be28d320787eb7f4d.jpg,5.6,800,400,16:33:12
+1.0,2013-01-28,2013-01-28 12:33:24,1,1,a57f6b6d4d3edf98ea3306dfaa9d3dce.jpg,5.6,800,100,12:33:24
+1.0,2012-03-20,2012-03-20 12:32:25,0,3,4d15f8648f3d000a3f86378b96b87cda.jpg,5.6,800,400,12:32:25
+1.0,2013-01-29,2013-01-29 12:16:17,1,1,a642e1310477cba768a58c199990042a.jpg,5.6,800,100,12:16:17
+1.0,2012-04-03,2012-04-03 12:27:01,0,3,74149ddfce5b1e537b9411f5deabf540.jpg,5.6,800,400,12:27:01
+1.0,2013-01-29,2013-01-29 16:27:14,1,1,8a8f260074ae6d40b5d1c438c18fac7d.jpg,5.6,800,200,16:27:14
+1.0,2012-03-08,2012-03-08 10:47:42,0,3,3f3a96ef651b9182a22fbbb356a4d4e8.jpg,5.6,800,400,10:47:42
+1.0,2012-03-20,2012-03-20 09:46:25,0,3,0ea3f5fc50efa531bad076512617cef6.jpg,5.6,800,400,09:46:25
+1.0,2013-02-20,2013-02-20 12:24:28,1,1,6f256525f6139f7d1e84c4d18f9ed432.jpg,5.6,800,100,12:24:28
+1.0,2012-04-03,2012-04-03 12:27:19,0,3,bde1b304614268bd448f4ddcf271f2f8.jpg,5.6,800,400,12:27:19
+1.0,2013-01-29,2013-01-29 16:33:57,1,1,a084d68776a200575f4427d1652c42de.jpg,5.6,800,320,16:33:57
+1.0,2013-02-26,2013-02-26 12:19:20,1,1,03705b723ce519eb9a62732db7dbe411.jpg,5.6,800,200,12:19:20
+1.0,2012-04-03,2012-04-03 12:33:30,0,3,b2d608644b15abd37f49d6f952c4ec82.jpg,5.6,800,400,12:33:30
+1.0,2012-03-06,2012-03-06 13:31:41,0,3,87825a8b93651bb5e5eabe80126b2160.jpg,5.6,800,400,13:31:41
+1.0,2013-01-29,2013-01-29 16:25:48,1,1,0d03a9377bb0939f5b7ab79f6b38ff24.jpg,5.6,800,320,16:25:48
+1.0,2013-02-19,2013-02-19 16:29:40,1,1,d127fcc37c564717d5d23c5250cab431.jpg,5.6,800,320,16:29:40
+1.0,2013-02-20,2013-02-20 12:11:06,1,1,20620073dd0011ccdcffa2e479e21d55.jpg,5.6,800,160,12:11:06
+1.0,2013-01-28,2013-01-28 12:38:48,1,1,318595715c8b803a2686954f2eff5cfd.jpg,5.6,800,100,12:38:48
+1.0,2013-01-29,2013-01-29 12:15:37,1,1,763602aee283803dbd814273eaf857a3.jpg,5.6,800,100,12:15:37
+1.0,2012-03-06,2012-03-06 13:27:40,0,3,7d97f5c0caaa8193de55e4899dc81210.jpg,5.6,800,400,13:27:40
+1.0,2013-02-13,2013-02-13 13:08:19,1,1,159bcaade36320f973d3d6ea4a29f192.jpg,5.6,800,100,13:08:19
+1.0,2013-01-29,2013-01-29 16:32:23,1,1,38eeaa1a6ed70fa8ef9073661e5d9f64.jpg,5.6,800,500,16:32:23
+1.0,2013-01-28,2013-01-28 12:37:08,1,1,47b062170251607f5986c6456b166ac3.jpg,5.6,800,100,12:37:08
+1.0,2012-04-03,2012-04-03 11:04:44,0,3,033d220ea0551cc1306e155cf8b4717b.jpg,5.6,800,400,11:04:44
+1.0,2013-02-13,2013-02-13 13:07:20,1,1,0794d1f35e2966f3772d781422cddea7.jpg,5.6,800,100,13:07:20
+1.0,2012-03-08,2012-03-08 14:53:48,0,3,f5a81b67c32d1db0e9918ad16fd7dc4c.jpg,5.6,800,400,14:53:48
+1.0,2012-03-08,2012-03-08 10:47:27,0,3,e133fc3b16add0991bed70d23d29cdd8.jpg,5.6,800,400,10:47:27
+1.0,2013-01-29,2013-01-29 12:08:26,1,1,b019266cfe876c760359acc08b037322.jpg,5.6,800,100,12:08:26
+1.0,2012-03-20,2012-03-20 12:35:51,0,3,b1adce9c336bd5bed34987d2ef5424dc.jpg,5.6,800,400,12:35:51
+1.0,2013-01-28,2013-01-28 12:37:18,1,1,a512a0df4964b67c02e6dea8f30d4476.jpg,5.6,800,100,12:37:18
+1.0,2013-02-20,2013-02-20 12:05:10,1,1,8adfa0f9c3b14da3cd0f1f623d7ccc47.jpg,5.6,800,200,12:05:10
+1.0,2012-04-03,2012-04-03 11:08:18,0,3,169c6b8c44abdaef56b5d17206dbd8d9.jpg,5.6,800,400,11:08:18
+1.0,2012-04-03,2012-04-03 09:44:25,0,3,9811e2a60ca41a9573796be4ec0c3fc7.jpg,5.6,800,400,09:44:25
+1.0,2012-03-20,2012-03-20 12:31:41,0,3,f79ee83fc055d14ba874bc1bbda9f132.jpg,5.6,800,400,12:31:41
+1.0,2013-02-19,2013-02-19 16:33:59,1,1,c8dcedabb28732defcc1aa3715f8aecc.jpg,5.6,800,320,16:33:59
+1.0,2013-02-20,2013-02-20 12:23:57,1,1,21ae77af92a98062c759cfbf60bf0463.jpg,5.6,800,100,12:23:57
+1.0,2013-01-29,2013-01-29 16:33:00,1,1,9db0d3250eb114c857d06fd18d3dbbfc.jpg,5.6,800,320,16:33:00
+1.0,2013-02-13,2013-02-13 13:17:23,1,1,db71a4c3573ffde04d34f5c0410d8432.jpg,5.6,800,100,13:17:23
+1.0,2012-04-03,2012-04-03 09:38:03,0,3,def48240324df2d21fd81cd3b960873f.jpg,5.6,800,400,09:38:03
+1.0,2013-01-28,2013-01-28 12:34:01,1,1,ac5a637366e7cdba27d071ee84c24993.jpg,5.6,800,100,12:34:01
+1.0,2013-02-20,2013-02-20 12:07:08,1,1,0e71685e3f4847d9382b63c21b4134ee.jpg,5.6,800,160,12:07:08
+1.0,2013-02-19,2013-02-19 16:25:08,1,1,d31942700b6c863a1575651d029f85ec.jpg,5.6,800,320,16:25:08
+1.0,2013-01-29,2013-01-29 12:17:11,1,1,ad1e7e3a7178acfea38fa3b6144682ce.jpg,5.6,800,100,12:17:11
+1.0,2012-03-13,2012-03-13 11:11:06,0,3,06101fbcfae2a5693e86a4ee01054c8e.jpg,5.6,800,400,11:11:06
+1.0,2013-02-19,2013-02-19 16:18:10,1,1,300ed01df853091269abb12f73c7d44f.jpg,5.6,800,320,16:18:10
+1.0,2013-02-20,2013-02-20 12:44:49,1,1,f55dac3876e45608921afdbd612d95e7.jpg,5.6,800,100,12:44:49
+1.0,2013-02-26,2013-02-26 12:06:47,1,1,e3908f9d736ad40bd0372d77c162fbdd.jpg,5.6,800,160,12:06:47
+1.0,2012-04-03,2012-04-03 09:36:08,0,3,73b7dbfbfc0b310f4d11a1a0160db20b.jpg,5.6,800,400,09:36:08
+1.0,2012-04-03,2012-04-03 09:36:35,0,3,c5a9736bb847d70ec1aa24076f089088.jpg,5.6,800,400,09:36:35
+1.0,2013-01-29,2013-01-29 12:09:57,1,1,0f0c9ceadc32a578912d0404106138a5.jpg,5.6,800,100,12:09:57
+1.0,2012-03-08,2012-03-08 10:46:41,0,3,8bf0c1f67b0e83cf0291979173ae34e2.jpg,5.6,800,400,10:46:41
+1.0,2013-02-26,2013-02-26 12:45:10,1,1,ca9f1a7c83f81567b4e0ae833336d3ec.jpg,5.6,800,200,12:45:10
+1.0,2013-01-28,2013-01-28 12:38:17,1,1,47ee41aa85f202c8ff2a8cfd857d3273.jpg,5.6,800,100,12:38:17
+1.0,2012-03-20,2012-03-20 12:34:40,0,3,cc7c6281bba0211355f669fc20459085.jpg,5.6,800,400,12:34:40
+1.0,2012-04-03,2012-04-03 12:32:47,0,3,d6958f273be3157990277485618e037e.jpg,5.6,800,400,12:32:47
+1.0,2013-01-29,2013-01-29 12:09:14,1,1,2d572c88cc219ecd671353a4040ed1bd.jpg,5.6,800,100,12:09:14
+1.0,2013-02-26,2013-02-26 12:12:58,1,1,9c41113795923ce09995ec00515f36a8.jpg,5.6,800,200,12:12:58
+1.0,2013-02-19,2013-02-19 16:32:07,1,1,948539b7b4d242911e919feebe873de6.jpg,5.6,800,320,16:32:07
+1.0,2012-04-03,2012-04-03 11:12:17,0,3,346bd39f34ec7afad1b40c5793e4bc14.jpg,5.6,800,400,11:12:17
+1.0,2013-01-28,2013-01-28 12:40:29,1,1,5c21fd23182cde94a2fa157fb9f90725.jpg,5.6,800,100,12:40:29
+1.0,2013-02-20,2013-02-20 12:08:42,1,1,36b9bad4c864d2aebd3cd8354c09439a.jpg,5.6,800,200,12:08:42
+1.0,2013-01-29,2013-01-29 12:10:18,1,1,a3278ece0857481e303341dfedd1b0de.jpg,5.6,800,100,12:10:18
+1.0,2012-03-20,2012-03-20 12:29:47,0,3,f994ab92a5714914d9b2f5605f40363f.jpg,5.6,800,400,12:29:47
+1.0,2012-03-08,2012-03-08 15:01:07,0,3,8577a9ffccfb70740b79b557e266094c.jpg,5.6,800,400,15:01:07
+1.0,2013-02-26,2013-02-26 12:05:12,1,1,6cf6a91bff99999fc3c5393c9c03077b.jpg,5.6,800,160,12:05:12
+1.0,2013-01-29,2013-01-29 12:34:21,1,1,78633769c780bf297c6d764be416cb2e.jpg,5.6,800,100,12:34:21
+1.0,2012-04-03,2012-04-03 11:07:05,0,3,c3553a2ee4c24f308664f968b8bc9c40.jpg,5.6,800,400,11:07:05
+1.0,2012-03-22,2012-03-22 13:58:02,0,3,2675223743d674e62578c87ef1047e9f.jpg,5.6,800,400,13:58:02
+1.0,2013-01-29,2013-01-29 12:18:42,1,1,df9f5ccac3bbcba633f9ab451fb4293c.jpg,5.6,800,100,12:18:42
+1.0,2013-01-29,2013-01-29 16:22:53,1,1,3cb69dea7840f6f665b62189a24c3160.jpg,5.6,800,250,16:22:53
+1.0,2013-02-26,2013-02-26 12:04:31,1,1,21245a576dd74bf5d72ba55e1fe3d5f3.jpg,5.6,800,160,12:04:31
+1.0,2012-03-13,2012-03-13 11:09:00,0,3,c3eae72e9644656fc7f856ead084bdb4.jpg,5.6,800,400,11:09:00
+1.0,2012-03-08,2012-03-08 10:47:32,0,3,1a4d8d997740aa829c208c2314c283b1.jpg,5.6,800,400,10:47:32
+1.0,2013-02-19,2013-02-19 16:33:35,1,1,069027b2a65907bc4cd7ee62d20b763a.jpg,5.6,800,400,16:33:35
+1.0,2012-03-20,2012-03-20 11:07:32,0,3,950afda3a415cd4c839d08987cd7edc8.jpg,5.6,800,400,11:07:32
+1.0,2013-02-13,2013-02-13 13:21:18,1,1,cba300d118612d293f4d6e284ef745cf.jpg,5.6,800,100,13:21:18
+1.0,2012-04-03,2012-04-03 09:44:05,0,3,36d4c27e21ea2667d879c8ecb277179e.jpg,5.6,800,400,09:44:05
+1.0,2012-04-03,2012-04-03 09:38:09,0,3,0740fc2f8b09538a94a07de2cfbc42a3.jpg,5.6,800,400,09:38:09
+1.0,2013-01-28,2013-01-28 12:38:59,1,1,fb66e116b8e606505b8088c5259bccf8.jpg,5.6,800,100,12:38:59
+1.0,2012-02-23,2012-02-23 14:54:39,0,3,d76a78477428c3da0da5ae511246c00f.jpg,5.6,800,400,14:54:39
+1.0,2012-03-20,2012-03-20 15:24:09,0,3,429dd1acd42619ed81cf24717be45f5e.jpg,5.6,800,400,15:24:09
+1.0,2013-02-20,2013-02-20 12:09:46,1,1,df4ccbc3c072e057d3f6839c2d1099b2.jpg,5.6,800,200,12:09:46
+1.0,2012-03-20,2012-03-20 09:44:22,0,3,c6932db98df34cc1a1146a54a334e70e.jpg,5.6,800,400,09:44:22
+1.0,2013-02-19,2013-02-19 16:33:43,1,1,b42db75f3250c4db2c71131f2cb348e2.jpg,5.6,800,320,16:33:43
+1.0,2012-04-03,2012-04-03 11:08:10,0,3,05707371bfb80bdb51e3a467db9124a6.jpg,5.6,800,400,11:08:10
+1.0,2012-03-08,2012-03-08 10:47:34,0,3,fe4a66801be26a7c827e0cd5d0ba7a15.jpg,5.6,800,400,10:47:34
+1.0,2012-04-03,2012-04-03 09:44:01,0,3,f42c693041b443b54028bf53acd65656.jpg,5.6,800,400,09:44:01
+1.0,2013-02-13,2013-02-13 13:08:10,1,1,70fbd70ab18b4979730cbb5a02861961.jpg,5.6,800,100,13:08:10
+1.0,2012-03-08,2012-03-08 10:47:20,0,3,9b7e5cf3ed7f568061042d6a0a0f3f91.jpg,5.6,800,400,10:47:20
+1.0,2012-04-03,2012-04-03 11:13:10,0,3,542690bf1e60899481d9bdc315077921.jpg,5.6,800,400,11:13:10
+1.0,2013-02-20,2013-02-20 12:06:06,1,1,7b98c67c9c022a2bd125e69b908b754c.jpg,5.6,800,160,12:06:06
+1.0,2013-02-13,2013-02-13 12:12:03,1,1,17a87d3a98822f2550954d5dbf9ab189.jpg,5.6,800,100,12:12:03
+1.0,2012-03-20,2012-03-20 09:46:30,0,3,09c6dbfbd6e7f0e34d046899f07d8f8e.jpg,5.6,800,400,09:46:30
+1.0,2013-01-29,2013-01-29 12:31:05,1,1,64bc09446bc1a6b5ab31aee844c62ffa.jpg,5.6,800,100,12:31:05
+1.0,2012-04-03,2012-04-03 09:43:22,0,3,eaea28f672d6ccada348b9ff04b7a0a2.jpg,5.6,800,400,09:43:22
+1.0,2013-01-29,2013-01-29 12:31:00,1,1,7b64e09d7bccf897da333b66b78af993.jpg,5.6,800,100,12:31:00
+1.0,2012-03-06,2012-03-06 13:29:29,0,3,4b4ff978773843f2b1850ce76b41f334.jpg,5.6,800,400,13:29:29
+1.0,2012-04-17,2012-04-17 12:32:41,0,3,95a20f14293754183625e7ec400a68b3.jpg,5.6,800,400,12:32:41
+1.0,2013-02-20,2013-02-20 12:16:36,1,1,042367c1037ce9c0c88f216c6699a7cf.jpg,5.6,800,125,12:16:36
+1.0,2012-03-20,2012-03-20 09:44:46,0,3,b9b3e27cc3e35af0a3872ce006c6fe9c.jpg,5.6,800,400,09:44:46
+1.0,2012-03-20,2012-03-20 15:24:07,0,3,8588a87f8580afd54d48bf3f794d8363.jpg,5.6,800,400,15:24:07
+1.0,2012-04-03,2012-04-03 09:38:10,0,3,95a92c4e0eb94da6a02781f78f613fa8.jpg,5.6,800,400,09:38:10
+1.0,2013-02-26,2013-02-26 12:16:19,1,1,2a98d376d989edc8ea440b4bdbbbcd73.jpg,5.6,800,200,12:16:19
+1.0,2012-03-20,2012-03-20 11:05:43,0,3,66af1a1efdee9ccad743a517b7888106.jpg,5.6,800,400,11:05:43
+1.0,2012-03-20,2012-03-20 09:45:05,0,3,ed422d792802c4dce8ec007e758c608b.jpg,5.6,800,400,09:45:05
+1.0,2013-01-29,2013-01-29 16:30:31,1,1,f57331e9c330d7a4afb3dea70c5c1555.jpg,5.6,800,320,16:30:31
+1.0,2012-04-03,2012-04-03 09:35:10,0,3,831d2bfb260e6009703a256cba41eff9.jpg,5.6,800,400,09:35:10
+1.0,2013-02-26,2013-02-26 12:21:25,1,1,ed3a4fdcc76926ad8d1d2b4b9ce1be54.jpg,5.6,800,200,12:21:25
+1.0,2012-03-20,2012-03-20 15:24:25,0,3,bc4d1e6c6fe822b41c7a019e46447d7c.jpg,5.6,800,400,15:24:25
+1.0,2012-03-08,2012-03-08 10:46:08,0,3,d81e6b70cc1a6aec69bcc661758d8d5e.jpg,5.6,800,400,10:46:08
+1.0,2013-01-29,2013-01-29 12:31:17,1,1,89122a3fae9c61b7f4c01034abd17094.jpg,5.6,800,100,12:31:17
+1.0,2013-02-19,2013-02-19 16:22:25,1,1,17e3a9a2524b7b5c32f5905de2f0533c.jpg,5.6,800,400,16:22:25
+1.0,2013-01-29,2013-01-29 12:17:14,1,1,59c5547ba329e49fe7e8ca7bd22fa38e.jpg,5.6,800,100,12:17:14
+1.0,2013-02-13,2013-02-13 12:34:47,1,1,582355e5802fd6f922d4657e4a727352.jpg,5.6,800,100,12:34:47
+1.0,2013-02-26,2013-02-26 12:10:35,1,1,071cad896aeb8cce61b1e01a658141de.jpg,5.6,800,200,12:10:35
+1.0,2013-02-19,2013-02-19 16:21:50,1,1,9161218e63a1631b4203bdcd8e03eefe.jpg,5.6,800,320,16:21:50
+1.0,2013-01-29,2013-01-29 12:09:59,1,1,94a6d554e8c6686f80e428f9ac1f6c1e.jpg,5.6,800,100,12:09:59
+1.0,2012-02-23,2012-02-23 14:58:29,0,3,32e57d3ac55d836dc715e69abc4d39e1.jpg,5.6,800,400,14:58:29
+1.0,2012-04-03,2012-04-03 09:38:22,0,3,8d9805ecbd6c16381db68113746dd38c.jpg,5.6,800,400,09:38:22
+1.0,2013-01-29,2013-01-29 12:34:05,1,1,13c5ea04e77a795a7b78cbdafe813066.jpg,5.6,800,100,12:34:05
+1.0,2013-01-28,2013-01-28 12:34:00,1,1,ed2255420110087b9dbb431c0372352a.jpg,5.6,800,100,12:34:00
+1.0,2013-02-20,2013-02-20 12:07:25,1,1,a268f27015fd749dd21b59ebdd3c92de.jpg,5.6,800,250,12:07:25
+1.0,2013-02-19,2013-02-19 16:25:38,1,1,4e3ce729b7b9b419da25bfb8a3508af6.jpg,5.6,800,320,16:25:38
+1.0,2012-02-23,2012-02-23 14:56:54,0,3,1ebd647d65e10b225fe240b5c34dfa30.jpg,5.6,800,400,14:56:54
+1.0,2013-02-19,2013-02-19 16:26:24,1,1,baeba40842b003cd24d2c4a5397d1011.jpg,5.6,800,320,16:26:24
+1.0,2012-03-08,2012-03-08 12:12:11,0,3,50127f1bd0494838d29cef7ddc73b990.jpg,5.6,800,400,12:12:11
+1.0,2012-03-06,2012-03-06 13:28:24,0,3,8c65778f0f17d5c7550751c7d64db4f1.jpg,5.6,800,400,13:28:24
+1.0,2013-02-19,2013-02-19 16:34:28,1,1,110bf58ed74f751f1dcc547404d2fda8.jpg,5.6,800,320,16:34:28
+1.0,2013-02-19,2013-02-19 16:26:30,1,1,5fd5c1abf49889bdd97c188ccd4829cb.jpg,5.6,800,320,16:26:30
+1.0,2012-03-20,2012-03-20 15:25:03,0,3,dcd814c8037da8baec147983181e7fcd.jpg,5.6,800,400,15:25:03
+1.0,2012-03-08,2012-03-08 10:47:35,0,3,048eadaf412fdb165673673c36f5a7a2.jpg,5.6,800,400,10:47:35
+1.0,2012-04-03,2012-04-03 09:35:14,0,3,ce88e48d993bdad813a4b00d00fd299f.jpg,5.6,800,400,09:35:14
+1.0,2012-03-20,2012-03-20 12:32:46,0,3,82c3dc198403fa5e36540c3341c0a7ee.jpg,5.6,800,400,12:32:46
+1.0,2013-01-29,2013-01-29 16:22:10,1,1,16f80d999fdbc87a305ab21c61fa9f6f.jpg,5.6,800,400,16:22:10
+1.0,2013-02-20,2013-02-20 12:14:00,1,1,ef6c20815c2ac56982a6604086fa1920.jpg,5.6,800,125,12:14:00
+1.0,2013-01-28,2013-01-28 12:40:10,1,1,c12264f87ee9effe41d1c8916ec9da54.jpg,5.6,800,100,12:40:10
+1.0,2013-02-20,2013-02-20 12:22:33,1,1,66ce7df4a6150da7e02d55d078db7ec1.jpg,5.6,800,100,12:22:33
+1.0,2013-01-29,2013-01-29 12:12:16,1,1,3980d82d49c79709ea15f77d494e17eb.jpg,5.6,800,100,12:12:16
+1.0,2013-02-20,2013-02-20 12:17:28,1,1,4f4b7081b041e097a7e03c21fe791dc6.jpg,5.6,800,100,12:17:28
+1.0,2013-02-13,2013-02-13 13:16:42,1,1,eede4dea453cd84b2599160fa8fd4547.jpg,5.6,800,100,13:16:42
+1.0,2013-02-20,2013-02-20 12:05:11,1,1,252ced50c4a92e641017dff76fa386d5.jpg,5.6,800,200,12:05:11
+1.0,2012-04-03,2012-04-03 09:38:00,0,3,9a0d9669b466558b6799baa0ae8c81d3.jpg,5.6,800,400,09:38:00
+1.0,2013-02-20,2013-02-20 12:25:29,1,1,40ee6b0957fa9adac796e2b2e602b216.jpg,5.6,800,100,12:25:29
+1.0,2013-01-28,2013-01-28 12:38:04,1,1,b7a539a3ad941599a3f4c8e18b31537a.jpg,5.6,800,100,12:38:04
+1.0,2012-03-22,2012-03-22 11:09:26,0,3,2e8a2a62d89124ae20c911878ee53e58.jpg,5.6,800,400,11:09:26
+1.0,2012-03-20,2012-03-20 13:56:36,0,3,27c4e61537f847ffde9aa5e3f8a801df.jpg,5.6,800,400,13:56:36
+1.0,2012-03-08,2012-03-08 10:46:56,0,3,7307abda5af92af598bcfbbb4c037b04.jpg,5.6,800,400,10:46:56
+1.0,2012-03-20,2012-03-20 09:45:05,0,3,d889733ee783264ea625ec1a1be9dff0.jpg,5.6,800,400,09:45:05
+1.0,2012-03-22,2012-03-22 11:05:54,0,3,9b03c829ee3e933ccb589c481c085ecd.jpg,5.6,800,400,11:05:54
+1.0,2013-02-13,2013-02-13 13:27:12,1,1,f6bb27011f8325865dbcbddde3b93f44.jpg,5.6,800,100,13:27:12
+1.0,2012-03-13,2012-03-13 11:11:18,0,3,c9458a9a5119fd846994d8891ee4d6f6.jpg,5.6,800,400,11:11:18
+1.0,2012-03-20,2012-03-20 09:41:27,0,3,1abf956cd464d8578316d379bff4190d.jpg,5.6,800,400,09:41:27
+1.0,2012-03-20,2012-03-20 09:45:03,0,3,324b26e73988fe969f2a71166c3ec09a.jpg,5.6,800,400,09:45:03
+1.0,2013-02-20,2013-02-20 12:26:11,1,1,2e830ed2b4e653e93bdd6d2e2222722e.jpg,5.6,800,100,12:26:11
+1.0,2012-02-23,2012-02-23 14:58:36,0,3,f719e96d557a21629cd6d4dab7f19348.jpg,5.6,800,400,14:58:36
+1.0,2013-02-20,2013-02-20 12:24:18,1,1,5c1d58b31825056dc16d2d1f4df2885a.jpg,5.6,800,100,12:24:18
+1.0,2013-02-20,2013-02-20 12:34:03,1,1,2a70cc541a9a1686f84891a2dbcfcda9.jpg,5.6,800,100,12:34:03
+1.0,2013-01-29,2013-01-29 16:25:26,1,1,9eb51b2898737835bf140651dd17a09c.jpg,5.6,800,320,16:25:26
+1.0,2012-03-20,2012-03-20 09:44:47,0,3,89b52ed3abd4f3dc64d1bf7e461cba0c.jpg,5.6,800,400,09:44:47
+1.0,2012-04-03,2012-04-03 11:07:07,0,3,b954e7f2aaef2652b9ad80c12141ca9a.jpg,5.6,800,400,11:07:07
+1.0,2012-03-08,2012-03-08 10:45:58,0,3,466fb360cd4e8295862f5dd51ba7a2c1.jpg,5.6,800,400,10:45:58
+1.0,2012-03-08,2012-03-08 10:47:26,0,3,c23fc29749d51f53275d64b141727575.jpg,5.6,800,400,10:47:26
+1.0,2013-01-28,2013-01-28 12:33:06,1,1,6333f35e7bbc897c7bac0c81d1ffb391.jpg,5.6,800,100,12:33:06
+1.0,2013-01-29,2013-01-29 16:31:22,1,1,66bf78807558604b64dc85b69448bcc8.jpg,5.6,800,320,16:31:22
+1.0,2013-02-26,2013-02-26 12:16:15,1,1,ea24bfe96be6db16d9d04b3f1205268a.jpg,5.6,800,200,12:16:15
+1.0,2012-03-20,2012-03-20 09:42:11,0,3,d0a40f247017b6469eb3007ac772e42d.jpg,5.6,800,400,09:42:11
+1.0,2013-01-29,2013-01-29 12:15:00,1,1,07f4f694c60c9b82482c91df5b61237c.jpg,5.6,800,100,12:15:00
+1.0,2013-01-29,2013-01-29 16:27:18,1,1,6384a556ef6a372cec1f98e7eb1a59e1.jpg,5.6,800,320,16:27:18
+1.0,2012-03-20,2012-03-20 11:08:45,0,3,d0c5faae060cc07fc472e15f5ea2119c.jpg,5.6,800,400,11:08:45
+1.0,2013-02-13,2013-02-13 12:45:14,1,1,1ecd2ad10524f6e7367a543c0c28e834.jpg,5.6,800,100,12:45:14
+1.0,2013-01-28,2013-01-28 12:40:46,1,1,213b35b6d18fe00b68c49f09e6644987.jpg,5.6,800,100,12:40:46
+1.0,2012-04-03,2012-04-03 11:03:44,0,3,1103f77ed07a45756c1596bb62ccc683.jpg,5.6,800,400,11:03:44
+1.0,2013-02-20,2013-02-20 12:26:06,1,1,075ea7455110a1169a859066659708ea.jpg,5.6,800,100,12:26:06
+1.0,2012-04-03,2012-04-03 09:44:35,0,3,5dcdceab954ab2004be4cfb04a140eca.jpg,5.6,800,400,09:44:35
+1.0,2012-03-20,2012-03-20 12:35:52,0,3,17cda1d9d8551750b7cf32d0db84c315.jpg,5.6,800,400,12:35:52
+1.0,2012-03-20,2012-03-20 13:57:29,0,3,342bd78a356c6261aa899656be7c9459.jpg,5.6,800,400,13:57:29
+1.0,2013-02-19,2013-02-19 16:31:37,1,1,1b3f22b7a754a8cb73eeca3afe057cfb.jpg,5.6,800,320,16:31:37
+1.0,2013-02-19,2013-02-19 16:14:28,1,1,a7c831466b90145ac8c03525b0d6a3df.jpg,5.6,800,320,16:14:28
+1.0,2012-03-20,2012-03-20 11:05:53,0,3,5f7077fc0102c3eeccd50dae8a61cb1a.jpg,5.6,800,400,11:05:53
+1.0,2013-01-29,2013-01-29 12:11:10,1,1,790b23487ff9480a256069266d2ccaec.jpg,5.6,800,100,12:11:10
+1.0,2013-01-29,2013-01-29 12:31:25,1,1,ac450aa4ce584608c69c5c63804f7779.jpg,5.6,800,100,12:31:25
+1.0,2012-04-03,2012-04-03 09:36:47,0,3,3bc08751ef9ec37420b7932b9c9cdc7d.jpg,5.6,800,400,09:36:47
+1.0,2012-04-03,2012-04-03 12:32:04,0,3,6962502bce5f7709cc4e8b2d3aca912a.jpg,5.6,800,400,12:32:04
+1.0,2012-03-06,2012-03-06 13:28:23,0,3,462480de6f02b22b307d6ab0f0c3712e.jpg,5.6,800,400,13:28:23
+1.0,2013-01-28,2013-01-28 12:34:16,1,1,a1b04ae7d6707e6685ff66c56ecaf38e.jpg,5.6,800,100,12:34:16
+1.0,2012-03-20,2012-03-20 13:59:36,0,3,c8be4d142a588a8577bc0be6a1f6c366.jpg,5.6,800,400,13:59:36
+1.0,2013-01-29,2013-01-29 16:24:58,1,1,c30b40fcbb05627fed765c2702e18117.jpg,5.6,800,250,16:24:58
+1.0,2012-03-20,2012-03-20 12:29:11,0,3,28c086eaba56cc765c21142d45a07ebe.jpg,5.6,800,400,12:29:11
+1.0,2012-03-20,2012-03-20 09:45:33,0,3,544234d2a8993c9ce893260af3885226.jpg,5.6,800,400,09:45:33
+1.0,2012-03-22,2012-03-22 13:58:26,0,3,426a9fde04195ba3d4cb2d7e991fab40.jpg,5.6,800,400,13:58:26
+1.0,2012-03-20,2012-03-20 12:32:03,0,3,2d3576757a481afe79e50bfb9ca100e8.jpg,5.6,800,400,12:32:03
+1.0,2013-02-19,2013-02-19 16:28:24,1,1,be2d4d97680a9990cc4a752bc23a7491.jpg,5.6,800,320,16:28:24
+1.0,2013-01-28,2013-01-28 12:38:40,1,1,a16a75cddd9b740ddc88824a9b303d79.jpg,5.6,800,100,12:38:40
+1.0,2013-02-20,2013-02-20 14:13:06,1,1,5f95a8a15aec07a57dc865f5b1f84459.jpg,5.6,800,200,14:13:06
+1.0,2012-04-03,2012-04-03 11:06:29,0,3,43448e27dc179818674517d246b634ea.jpg,5.6,800,400,11:06:29
+1.0,2013-01-29,2013-01-29 16:28:39,1,1,db60338374e5b4643afc3b0398cba9f0.jpg,5.6,800,320,16:28:39
+1.0,2013-01-28,2013-01-28 12:42:40,1,1,457e94851ea10d31ff19c7335d064eb6.jpg,5.6,800,100,12:42:40
+1.0,2012-03-22,2012-03-22 11:05:02,0,3,f15d61cfbcb0a2094a61cb6cb244cbe5.jpg,5.6,800,400,11:05:02
+1.0,2013-01-29,2013-01-29 12:15:07,1,1,2df073010a5d5f53cbbd321cebe6f1b7.jpg,5.6,800,100,12:15:07
+1.0,2012-03-20,2012-03-20 15:22:59,0,3,e977656ce47144386180b08b490e5073.jpg,5.6,800,400,15:22:59
+1.0,2012-04-03,2012-04-03 09:37:25,0,3,d70215d21e036d93186a09fea1e46ec9.jpg,5.6,800,400,09:37:25
+1.0,2012-04-03,2012-04-03 09:36:28,0,3,9241feb5588346f0ecb9578b293c0e91.jpg,5.6,800,400,09:36:28
+1.0,2013-02-20,2013-02-20 14:13:14,1,1,638fb916586e0114ab1318ffe54e2053.jpg,5.6,800,200,14:13:14
+1.0,2013-02-20,2013-02-20 12:14:12,1,1,1ea1225f573506441e136379a9fe4a00.jpg,5.6,800,125,12:14:12
+1.0,2013-02-20,2013-02-20 14:13:20,1,1,42dbdd15747ceedabdd3130938f9e6ee.jpg,5.6,800,200,14:13:20
+1.0,2012-03-13,2012-03-13 11:12:18,0,3,876ea48e8e2b23bdcee243a13b8ce994.jpg,5.6,800,400,11:12:18
+1.0,2013-02-13,2013-02-13 13:20:31,1,1,e6da88b1d250626abd26f95ba043ae76.jpg,5.6,800,100,13:20:31
+1.0,2013-01-29,2013-01-29 16:28:43,1,1,7e7e91e048ab528d9c3f855ca757204a.jpg,5.6,800,250,16:28:43
+1.0,2012-04-03,2012-04-03 09:40:35,0,3,27a9754570a859a51fe0f2683436bf98.jpg,5.6,800,400,09:40:35
+1.0,2012-03-20,2012-03-20 12:33:39,0,3,08c62103f022bd4ac253eb02d4b917f2.jpg,5.6,800,400,12:33:39
+1.0,2012-03-20,2012-03-20 09:46:28,0,3,cb328c5011838b9bf276f85b95eff1a2.jpg,5.6,800,400,09:46:28
+1.0,2012-04-03,2012-04-03 09:37:46,0,3,1ffc5ead2fb3eae1e8ac8b42e5c4df26.jpg,5.6,800,400,09:37:46
+1.0,2012-03-08,2012-03-08 14:53:36,0,3,bd463d354371b73e18988e48658b6c5f.jpg,5.6,800,400,14:53:36
+1.0,2013-01-28,2013-01-28 12:36:22,1,1,7e4296d68af02f18ab5f5d6c4587eb14.jpg,5.6,800,100,12:36:22
+1.0,2012-03-20,2012-03-20 15:22:23,0,3,1a745d84d65cee8de6bba9d9a729d41f.jpg,5.6,800,400,15:22:23
+1.0,2013-01-29,2013-01-29 16:30:01,1,1,4538937de59f28c8a707417108449ae6.jpg,5.6,800,500,16:30:01
+1.0,2012-03-20,2012-03-20 11:06:29,0,3,1f81751d9c049979e2216af6c0bfc09b.jpg,5.6,800,400,11:06:29
+1.0,2013-01-28,2013-01-28 12:37:50,1,1,01e28b8ea6c8ecef1528af7e89cd1cbd.jpg,5.6,800,100,12:37:50
+1.0,2013-01-29,2013-01-29 16:29:11,1,1,b5bfff4d6ff89360c8670a6feedc8540.jpg,5.6,800,250,16:29:11
+1.0,2012-03-20,2012-03-20 15:24:42,0,3,6434587db62c88238a9ab5ea43e36840.jpg,5.6,800,400,15:24:42
+1.0,2013-02-26,2013-02-26 12:40:38,1,1,a0ff131659dc81266d099feece1702d9.jpg,5.6,800,200,12:40:38
+1.0,2012-03-20,2012-03-20 09:47:38,0,3,0060629d1d4499ff6a2d053b355f430d.jpg,5.6,800,400,09:47:38
+1.0,2012-03-06,2012-03-06 13:29:09,0,3,13250b6156395cb6f1f5664614995b9e.jpg,5.6,800,400,13:29:09
+1.0,2012-03-20,2012-03-20 09:43:38,0,3,d9f8cf175241a12ae0e39cab0d9f2868.jpg,5.6,800,400,09:43:38
+1.0,2013-01-28,2013-01-28 12:41:54,1,1,cc8738c180d7ec767ef5a6f09038ce43.jpg,5.6,800,100,12:41:54
+1.0,2012-03-20,2012-03-20 11:07:50,0,3,26b3d9d8fc143b6c2b0cdabe48bf931d.jpg,5.6,800,400,11:07:50
+1.0,2012-04-03,2012-04-03 11:05:22,0,3,e6a10f93aa1e757ba3cd6b88679a8bd2.jpg,5.6,800,400,11:05:22
+1.0,2012-04-03,2012-04-03 12:36:31,0,3,74eeaef1d40ef3f62ab9968d2ed6376a.jpg,5.6,800,400,12:36:31
+1.0,2013-01-29,2013-01-29 16:27:11,1,1,ec16bb68746447500d95a46d89de557f.jpg,5.6,800,250,16:27:11
+1.0,2013-02-26,2013-02-26 12:21:20,1,1,9337b683d55093cd8aeb206478c87991.jpg,5.6,800,200,12:21:20
+1.0,2012-03-08,2012-03-08 10:48:16,0,3,03465aabc1747db64dd05a8ad9686350.jpg,5.6,800,400,10:48:16
+1.0,2012-03-20,2012-03-20 12:33:59,0,3,a0197e9d1227a60071245e9c7346130c.jpg,5.6,800,400,12:33:59
+1.0,2013-02-19,2013-02-19 16:25:53,1,1,f854537af02a8e232df641c664580be3.jpg,5.6,800,320,16:25:53
+1.0,2012-04-03,2012-04-03 11:04:36,0,3,c6e54e07560e11ab9ae47250c4dbf8ff.jpg,5.6,800,400,11:04:36
+1.0,2013-01-29,2013-01-29 12:08:28,1,1,0846ebf77137fcf0f4641efec8f2b10d.jpg,5.6,800,100,12:08:28
+1.0,2013-01-28,2013-01-28 12:42:21,1,1,a30e7f7c6999c4251ead585d8522f6d5.jpg,5.6,800,100,12:42:21
+1.0,2012-03-13,2012-03-13 11:09:02,0,3,2ddadfd8c86d7f6c3d027105c33c5ba4.jpg,5.6,800,400,11:09:02
+1.0,2012-04-03,2012-04-03 11:12:16,0,3,1d3f26f7a7b3d513652b98b5cf98f3b4.jpg,5.6,800,400,11:12:16
+1.0,2013-02-19,2013-02-19 16:24:56,1,1,bf5e05e239a42813b72733904db2ce1a.jpg,5.6,800,400,16:24:56
+1.0,2013-02-19,2013-02-19 16:29:08,1,1,1980d57be7a4f24e2f57af2703265502.jpg,5.6,800,320,16:29:08
+1.0,2013-02-20,2013-02-20 12:39:59,1,1,d516e13055e379be1b4947659f195d00.jpg,5.6,800,100,12:39:59
+1.0,2013-02-26,2013-02-26 12:12:45,1,1,6fff4a7dc8122f6d77bb0516b1861988.jpg,5.6,800,160,12:12:45
+1.0,2013-02-20,2013-02-20 12:19:28,1,1,810bda29a08eec245f93a4e53b482192.jpg,5.6,800,100,12:19:28
+1.0,2012-03-22,2012-03-22 11:06:45,0,3,34f15d1ca00f64d5415347e8394849af.jpg,5.6,800,400,11:06:45
+1.0,2013-02-19,2013-02-19 16:22:50,1,1,5d5e519e87d527ff62985ab62eb015b3.jpg,5.6,800,320,16:22:50
+1.0,2012-04-03,2012-04-03 09:36:21,0,3,354aed7f48e0fd8aa8c32852b8614e87.jpg,5.6,800,400,09:36:21
+1.0,2013-01-29,2013-01-29 16:27:00,1,1,1ba9a692ee750f2409d02ff193f519c4.jpg,5.6,800,250,16:27:00
+1.0,2013-02-19,2013-02-19 16:25:02,1,1,2379adbc536de5721f04053e2fd9c611.jpg,5.6,800,320,16:25:02
+1.0,2013-01-28,2013-01-28 12:40:28,1,1,874d37a8fef446042bdb990743845d1f.jpg,5.6,800,100,12:40:28
+1.0,2012-03-20,2012-03-20 12:35:06,0,3,b2f73800cb5bfd0f2ad9cd8d3f722cea.jpg,5.6,800,400,12:35:06
+1.0,2013-02-19,2013-02-19 16:18:01,1,1,04a8f38e0e4f0e640ae990797cd7de5b.jpg,5.6,800,320,16:18:01
+1.0,2013-01-29,2013-01-29 16:25:27,1,1,0eecfb99f0814a4d1cff4ce4176f7892.jpg,5.6,800,320,16:25:27
+1.0,2013-02-19,2013-02-19 16:16:12,1,1,28418171e03ffb60305655d63a1bc6bb.jpg,5.6,800,320,16:16:12
+1.0,2013-01-29,2013-01-29 12:31:45,1,1,fb821a1606e59cc79cc67dff40c5b2aa.jpg,5.6,800,100,12:31:45
+1.0,2012-03-08,2012-03-08 12:10:04,0,3,eafe3c49bff2eea7a5690c418bb2d313.jpg,5.6,800,400,12:10:04
+1.0,2012-03-20,2012-03-20 13:56:55,0,3,e74b4291c21caf9f68fae7b9186cbc6b.jpg,5.6,800,400,13:56:55
+1.0,2012-04-03,2012-04-03 11:07:12,0,3,b50fcf4ebb0c0b1a80db36223c5b509f.jpg,5.6,800,400,11:07:12
+1.0,2013-01-29,2013-01-29 12:21:00,1,1,48797a39f3be3199329711b1418ca259.jpg,5.6,800,100,12:21:00
+1.0,2012-03-08,2012-03-08 10:47:24,0,3,363dae971c651a51fcea8869e6aa60ca.jpg,5.6,800,400,10:47:24
+1.0,2013-01-28,2013-01-28 12:38:27,1,1,02ef771562eafc86f409b63534e5c0e7.jpg,5.6,800,100,12:38:27
+1.0,2013-02-26,2013-02-26 12:09:46,1,1,7dcc151348d5389075dc170015393631.jpg,5.6,800,200,12:09:46
+1.0,2013-02-26,2013-02-26 12:44:01,1,1,9edb6bba5984e1b73158fc7d69ffc62e.jpg,5.6,800,200,12:44:01
+1.0,2013-01-29,2013-01-29 16:28:02,1,1,9f1f6c314bdc6c3a9df790cf5b9eb64d.jpg,5.6,800,500,16:28:02
+1.0,2012-04-03,2012-04-03 11:09:33,0,3,b4ff317cc21d3430394a3b4faea65104.jpg,5.6,800,400,11:09:33
+1.0,2012-03-22,2012-03-22 11:06:28,0,3,517c77fa1c7ad5442f6a98b5c6834c20.jpg,5.6,800,400,11:06:28
+1.0,2013-02-20,2013-02-20 12:08:50,1,1,09c6202c997a84b575b26de73045ffa5.jpg,5.6,800,200,12:08:50
+1.0,2012-03-13,2012-03-13 11:09:05,0,3,1d2496b93e87f104f32567f16d1e6ab8.jpg,5.6,800,400,11:09:05
+1.0,2013-02-13,2013-02-13 12:00:41,1,1,c0b3fbf639942ec6e964a80f9c18a755.jpg,5.6,800,100,12:00:41
+1.0,2012-03-20,2012-03-20 09:42:10,0,3,0be097e29b1e04d8bbc1f6258b3ebcab.jpg,5.6,800,400,09:42:10
+1.0,2012-03-06,2012-03-06 13:28:04,0,3,ad686f493b72ba84b28d1039f1e83eab.jpg,5.6,800,400,13:28:04
+1.0,2013-01-28,2013-01-28 12:36:06,1,1,b037b0fd30667b6e8910d942a4aa69a5.jpg,5.6,800,100,12:36:06
+1.0,2012-03-20,2012-03-20 15:23:05,0,3,7814e466f2a771dcf38f2776fff2e318.jpg,5.6,800,400,15:23:05
+1.0,2012-04-03,2012-04-03 09:39:44,0,3,b4f564516ef2b8d8086220ef389ecc4d.jpg,5.6,800,400,09:39:44
+1.0,2012-03-08,2012-03-08 12:13:14,0,3,c26e2be240f9ae91740ede1a848f8d57.jpg,5.6,800,400,12:13:14
+1.0,2012-03-08,2012-03-08 10:43:52,0,3,541ee68fec3e16e94e24b629c61adc84.jpg,5.6,800,400,10:43:52
+1.0,2013-02-13,2013-02-13 13:08:28,1,1,43e20d8b86992bb9f822307a88ba7a6e.jpg,5.6,800,100,13:08:28
+1.0,2013-02-19,2013-02-19 16:31:18,1,1,ae0d4cfdcd260b01c05c4ce1af735d17.jpg,5.6,800,320,16:31:18
+1.0,2013-01-28,2013-01-28 12:38:31,1,1,ea8b673a97575bdad36f20de77dcf425.jpg,5.6,800,100,12:38:31
+1.0,2013-01-29,2013-01-29 12:12:42,1,1,55fb55f1d852f00c4a7ea41838631bf8.jpg,5.6,800,100,12:12:42
+1.0,2012-02-23,2012-02-23 14:54:50,0,3,8b603c076ecb2f1b82234b99780dcfcd.jpg,5.6,800,400,14:54:50
+1.0,2012-03-20,2012-03-20 13:56:56,0,3,bb4fa4055b693ca4cecbc56a6df6d232.jpg,5.6,800,400,13:56:56
+1.0,2013-02-13,2013-02-13 12:10:22,1,1,30f2065ce62d82bc799ac6efc9c8d772.jpg,5.6,800,100,12:10:22
+1.0,2013-02-13,2013-02-13 12:34:16,1,1,a9f798dce3d056ce86a47a49c882ae4c.jpg,5.6,800,100,12:34:16
+1.0,2013-02-13,2013-02-13 12:32:33,1,1,dd2c3dbfeb873847e671ee52ee576378.jpg,5.6,800,100,12:32:33
+1.0,2012-03-20,2012-03-20 15:24:04,0,3,f3eaedd54a6474d9b722970b75d77332.jpg,5.6,800,400,15:24:04
+1.0,2012-04-03,2012-04-03 11:07:05,0,3,14366bca2d0f220f36cca78ec150ba5f.jpg,5.6,800,400,11:07:05
+1.0,2013-01-29,2013-01-29 16:24:29,1,1,ddfabb8246ad9114b53da9819758ac4f.jpg,5.6,800,250,16:24:29
+1.0,2013-02-20,2013-02-20 12:11:01,1,1,fb5ed2a267949bb789cae55e78187e58.jpg,5.6,800,160,12:11:01
+1.0,2012-03-20,2012-03-20 09:43:48,0,3,97a5ab269ae868ee2b50dc837b8cd43d.jpg,5.6,800,400,09:43:48
+1.0,2012-03-08,2012-03-08 14:53:57,0,3,bc1856b0641d1656b9d4205f373d9046.jpg,5.6,800,400,14:53:57
+1.0,2012-03-08,2012-03-08 14:53:36,0,3,7bc1c37a3e8f8f8e0ac260b79f1a5650.jpg,5.6,800,400,14:53:36
+1.0,2012-04-03,2012-04-03 09:38:19,0,3,0d19949480f59edbd3c0cf8985747380.jpg,5.6,800,400,09:38:19
+1.0,2012-04-03,2012-04-03 11:07:51,0,3,11d07af07b3b6162212ddeada848d3a8.jpg,5.6,800,400,11:07:51
+1.0,2012-04-03,2012-04-03 11:11:07,0,3,65fc2716eecf2483af67f77acedaa870.jpg,5.6,800,400,11:11:07
+1.0,2013-01-28,2013-01-28 12:40:49,1,1,4ddba757521e9cd2e3b19a02732a5316.jpg,5.6,800,100,12:40:49
+1.0,2013-01-29,2013-01-29 16:24:51,1,1,f0df88cb3b74d5438a4c130321a1df08.jpg,5.6,800,400,16:24:51
+1.0,2013-02-13,2013-02-13 13:15:42,1,1,70480164bdae79a378caac2e667697d4.jpg,5.6,800,100,13:15:42
+1.0,2013-02-20,2013-02-20 12:39:31,1,1,54022d07bc6377bd836d55c2f3b9f2a7.jpg,5.6,800,100,12:39:31
+1.0,2013-02-26,2013-02-26 12:11:32,1,1,adb501f6afe6fa74633f00477f7953c6.jpg,5.6,800,160,12:11:32
+1.0,2013-01-29,2013-01-29 16:30:02,1,1,8b65d6e03f62b91c2f0d53c193ef8bb4.jpg,5.6,800,640,16:30:02
+1.0,2013-02-20,2013-02-20 12:01:31,1,1,de5e43f17972e5949cdb02fd18ca4f92.jpg,5.6,800,160,12:01:31
+1.0,2012-03-20,2012-03-20 09:44:46,0,3,f1c3d03d6a8486e4211e730a54fdeda3.jpg,5.6,800,400,09:44:46
+1.0,2012-03-20,2012-03-20 11:05:56,0,3,2869eeb4eabf1e0c40b1138aa2595d8d.jpg,5.6,800,400,11:05:56
+1.0,2012-03-20,2012-03-20 11:04:22,0,3,648136d843eab28fb6f5fa2c419c1b5b.jpg,5.6,800,400,11:04:22
+1.0,2012-02-23,2012-02-23 14:56:10,0,3,bf16c9417a831a8e8789041965819137.jpg,5.6,800,400,14:56:10
+1.0,2013-01-28,2013-01-28 12:36:08,1,1,4efdf736df3bc18319bc004e9edae421.jpg,5.6,800,100,12:36:08
+1.0,2013-01-29,2013-01-29 12:33:09,1,1,5306107b769ca64a4f0b692c7b1ee320.jpg,5.6,800,100,12:33:09
+1.0,2012-03-20,2012-03-20 13:59:37,0,3,1c30a58d26d009832b3846898468828c.jpg,5.6,800,400,13:59:37
+1.0,2012-03-06,2012-03-06 13:30:17,0,3,b18febd5ed65e6a43a56a114d9f22eaa.jpg,5.6,800,400,13:30:17
+1.0,2012-04-03,2012-04-03 12:34:22,0,3,c3a90a23a18ee9308f9a5a2b20b9eff4.jpg,5.6,800,400,12:34:22
+1.0,2012-03-20,2012-03-20 15:24:05,0,3,153b85592507ad5e08d1facc5ebd43f0.jpg,5.6,800,400,15:24:05
+1.0,2013-01-28,2013-01-28 12:41:56,1,1,31b990dceb6a24ee3754982ee567bc0e.jpg,5.6,800,100,12:41:56
+1.0,2013-02-19,2013-02-19 16:25:11,1,1,74b780d67b40fe64158cf32a5b386c52.jpg,5.6,800,400,16:25:11
+1.0,2013-02-13,2013-02-13 13:14:18,1,1,ad74aade6c17c2b8d8a42ca473f05f2d.jpg,5.6,800,100,13:14:18
+1.0,2012-03-08,2012-03-08 14:53:39,0,3,45be19e054e4fbf42f8af1245557bbb9.jpg,5.6,800,400,14:53:39
+1.0,2012-03-20,2012-03-20 09:45:56,0,3,c6947476302efeef3500aeace0c0f06b.jpg,5.6,800,400,09:45:56
+1.0,2012-03-08,2012-03-08 10:46:22,0,3,973d039ba6f938c0d0e5194878fa17fe.jpg,5.6,800,400,10:46:22
+1.0,2012-03-20,2012-03-20 09:41:35,0,3,0499a0ffc7f7bd870771951e03b56507.jpg,5.6,800,400,09:41:35
+1.0,2012-03-13,2012-03-13 11:11:30,0,3,2404084ac405e02d96562d8d76299a37.jpg,5.6,800,400,11:11:30
+1.0,2012-03-06,2012-03-06 13:28:15,0,3,fa796e4f70d8d69b65753c85d81ec605.jpg,5.6,800,400,13:28:15
+1.0,2013-01-28,2013-01-28 12:38:25,1,1,5e75f2146638bcf6e21344f298915eeb.jpg,5.6,800,100,12:38:25
+1.0,2013-01-29,2013-01-29 16:25:57,1,1,1a12ddaa88d5c982ad9dd4980373cef4.jpg,5.6,800,250,16:25:57
+1.0,2012-04-03,2012-04-03 11:08:42,0,3,6b22e5cfcb6fdcce0a700a2a5945230b.jpg,5.6,800,400,11:08:42
+1.0,2013-02-19,2013-02-19 16:33:13,1,1,b50db360b6caf1d4b419f494582a4e51.jpg,5.6,800,400,16:33:13
+1.0,2012-03-20,2012-03-20 12:31:40,0,3,2b25029cb464a14d5e4c445e88bf6c31.jpg,5.6,800,400,12:31:40
+1.0,2012-03-20,2012-03-20 13:57:27,0,3,f682bee2151cedf312bd753c46ec8e24.jpg,5.6,800,400,13:57:27
+1.0,2012-04-03,2012-04-03 11:06:43,0,3,1a6eb39993511a55c623a84bbbbcfb7a.jpg,5.6,800,400,11:06:43
+1.0,2013-01-28,2013-01-28 12:42:01,1,1,4c189d4080f06e9d5eda31dd3315da96.jpg,5.6,800,100,12:42:01
+1.0,2013-02-20,2013-02-20 12:01:51,1,1,c0f58b53c4781dab3c7d79765477325a.jpg,5.6,800,200,12:01:51
+1.0,2013-01-28,2013-01-28 12:34:01,1,1,5d2d383125ecdea5f98787c5f5ae6f51.jpg,5.6,800,100,12:34:01
+1.0,2012-04-03,2012-04-03 12:32:49,0,3,78cdb389338ad19a9e43355e92b05c41.jpg,5.6,800,400,12:32:49
+1.0,2012-04-17,2012-04-17 12:27:00,0,3,70d3295f378a282de2c5a2c4bbc2de96.jpg,5.6,800,400,12:27:00
+1.0,2013-02-19,2013-02-19 16:23:03,1,1,3d9db3136141fafd5b9d6b09ba350d1d.jpg,5.6,800,400,16:23:03
+1.0,2013-02-20,2013-02-20 12:20:58,1,1,0432d1503ff6e2d88203912c44ece317.jpg,5.6,800,100,12:20:58
+1.0,2013-01-29,2013-01-29 12:33:12,1,1,b12c491b70c37ed09d67dd31bb16575d.jpg,5.6,800,100,12:33:12
+1.0,2012-03-20,2012-03-20 11:08:40,0,3,715d9e468dfdafaac840d36fac8a8134.jpg,5.6,800,400,11:08:40
+1.0,2012-03-08,2012-03-08 12:10:21,0,3,fef6a31ad10b1a65062205dc9f9e9054.jpg,5.6,800,400,12:10:21
+1.0,2013-02-20,2013-02-20 12:44:22,1,1,535876e8a084f6500738b91eaa393480.jpg,5.6,800,100,12:44:22
+1.0,2013-01-29,2013-01-29 12:10:19,1,1,1600ebe2ebe249e7e32c851556771ec7.jpg,5.6,800,100,12:10:19
+1.0,2012-03-20,2012-03-20 11:05:12,0,3,085e4a34e7525c02614f2cf85cdbb893.jpg,5.6,800,400,11:05:12
+1.0,2013-02-19,2013-02-19 16:26:24,1,1,5bd23c0f167a58aeb2a7b6bc91583df1.jpg,5.6,800,320,16:26:24
+1.0,2013-02-13,2013-02-13 13:21:15,1,1,0d00223cca1dacd43b165bfa9b39580d.jpg,5.6,800,100,13:21:15
+1.0,2012-04-03,2012-04-03 09:38:12,0,3,52010e4570d8c7a4ea3f7c6a2242fe86.jpg,5.6,800,400,09:38:12
+1.0,2012-04-03,2012-04-03 09:38:20,0,3,1d25ff3826c81c650fc57090d85b6f68.jpg,5.6,800,400,09:38:20
+1.0,2013-02-20,2013-02-20 12:34:55,1,1,ba12560af9d811d56500a77e30f8f9e3.jpg,5.6,800,100,12:34:55
+1.0,2013-01-29,2013-01-29 12:16:49,1,1,cd08db53d3e5c0dcb0dfe97904919195.jpg,5.6,800,100,12:16:49
+1.0,2012-03-20,2012-03-20 13:58:52,0,3,fdbf14a581dbf86c5428d016145ad316.jpg,5.6,800,400,13:58:52
+1.0,2013-02-20,2013-02-20 12:03:20,1,1,48c6bbda925e88d5a4da227c8dd5062d.jpg,5.6,800,160,12:03:20
+1.0,2012-03-20,2012-03-20 11:08:28,0,3,454d1e6ac36206c0b927e1cdd0dbcfc1.jpg,5.6,800,400,11:08:28
+1.0,2012-04-03,2012-04-03 12:30:56,0,3,f3f44e9de71e9438eb060587d0f937c6.jpg,5.6,800,400,12:30:56
+1.0,2012-03-06,2012-03-06 13:30:20,0,3,066130545d29899406a398e4af06e6db.jpg,5.6,800,400,13:30:20
+1.0,2013-02-26,2013-02-26 12:10:58,1,1,75d4e48e145705bd26f5a16036017ef1.jpg,5.6,800,160,12:10:58
+1.0,2013-02-13,2013-02-13 12:07:51,1,1,66b2df43a48677d5ff85df704210b41a.jpg,5.6,800,100,12:07:51
+1.0,2013-02-19,2013-02-19 16:14:35,1,1,28f694956665283edce12362b004b58d.jpg,5.6,800,320,16:14:35
+1.0,2012-02-23,2012-02-23 14:54:51,0,3,43c58ecd85033ff7eecf23cb3f5c6bad.jpg,5.6,800,400,14:54:51
+1.0,2012-04-03,2012-04-03 11:07:06,0,3,2a6c2ecc5c590776a0fb97a9a78cdff3.jpg,5.6,800,400,11:07:06
+1.0,2013-01-28,2013-01-28 12:37:07,1,1,370797e2cdabc7678f09be34c362eb16.jpg,5.6,800,100,12:37:07
+1.0,2013-02-20,2013-02-20 12:01:38,1,1,04ae91135584a8de50b110a856a28d96.jpg,5.6,800,160,12:01:38
+1.0,2012-03-08,2012-03-08 15:01:00,0,3,3fb342fbec8dc28c34199183d0460b0f.jpg,5.6,800,400,15:01:00
+1.0,2013-02-26,2013-02-26 12:06:15,1,1,53d102c0b1c569c04a5f8565438144db.jpg,5.6,800,200,12:06:15
+1.0,2012-03-08,2012-03-08 12:13:13,0,3,c10aa2a7b7407a6d5c243c6baf81109b.jpg,5.6,800,400,12:13:13
+1.0,2012-03-22,2012-03-22 11:06:41,0,3,cb5000405919a0e1a2e342e022711339.jpg,5.6,800,400,11:06:41
+1.0,2012-04-03,2012-04-03 09:41:01,0,3,8086bf686d7029fbda549173f2c6e4ba.jpg,5.6,800,400,09:41:01
+1.0,2013-02-13,2013-02-13 12:45:02,1,1,216a254e009365aaad0b476ca9605bbb.jpg,5.6,800,100,12:45:02
+1.0,2012-03-20,2012-03-20 09:47:38,0,3,b898c1d8dc7c108222d6113aef156a53.jpg,5.6,800,400,09:47:38
+1.0,2012-03-20,2012-03-20 13:59:15,0,3,009d6ccd53172b765fff120418de5a3d.jpg,5.6,800,400,13:59:15
+1.0,2012-04-03,2012-04-03 11:08:13,0,3,e22b4c3fab24f11051e1de9036d87e8b.jpg,5.6,800,400,11:08:13
+1.0,2013-02-26,2013-02-26 12:13:12,1,1,d29fc9461f1e6c9837402e2f60b1f64d.jpg,5.6,800,160,12:13:12
+1.0,2013-02-20,2013-02-20 12:02:59,1,1,c3b15d736e76c939afbe9dd4e4616780.jpg,5.6,800,160,12:02:59
+1.0,2013-02-26,2013-02-26 12:06:47,1,1,e9ca689add8d1ec3d2091fe6a0ff8488.jpg,5.6,800,200,12:06:47
+1.0,2012-03-20,2012-03-20 15:22:55,0,3,15b8d5b4df400f3cdec057cdb7f4c5e0.jpg,5.6,800,400,15:22:55
+1.0,2013-01-29,2013-01-29 16:30:03,1,1,7ea0b18872a08f03bfcadd8a0c1dd1e1.jpg,5.6,800,400,16:30:03
+1.0,2012-04-03,2012-04-03 11:08:38,0,3,66d2dac3786516c8bd1c8ef067b494f3.jpg,5.6,800,400,11:08:38
+1.0,2012-03-20,2012-03-20 09:42:04,0,3,876adef177fe21618897c56c097ffd2f.jpg,5.6,800,400,09:42:04
+1.0,2013-01-29,2013-01-29 16:22:20,1,1,061ea1e3e362eb29cc7f46c23ddc2c3a.jpg,5.6,800,320,16:22:20
+1.0,2012-03-08,2012-03-08 14:53:56,0,3,cbd5f44c579da75fb6b63719c81755b6.jpg,5.6,800,400,14:53:56
+1.0,2013-01-28,2013-01-28 12:33:06,1,1,46a357276503bff60b7ebba5ab7e449a.jpg,5.6,800,100,12:33:06
+1.0,2013-01-29,2013-01-29 16:26:46,1,1,e7929442d8bc14b273afc92c1a64d53b.jpg,5.6,800,500,16:26:46
+1.0,2012-03-08,2012-03-08 12:10:18,0,3,bb68c448fe8db7d5b3257c072cd65349.jpg,5.6,800,400,12:10:18
+1.0,2013-02-13,2013-02-13 12:02:25,1,1,72dfee4e697d828b6940defd6495cc5e.jpg,5.6,800,100,12:02:25
+1.0,2012-02-23,2012-02-23 14:58:35,0,3,108c94751bd370dfd40cf5568f5d9377.jpg,5.6,800,400,14:58:35
+1.0,2013-02-26,2013-02-26 12:23:29,1,1,af1056ab1e4318598d76dbb057055f7d.jpg,5.6,800,200,12:23:29
+1.0,2012-03-20,2012-03-20 13:57:28,0,3,d3dbe685e57b7dff39010e8af4737fa6.jpg,5.6,800,400,13:57:28
+1.0,2013-02-20,2013-02-20 12:19:32,1,1,fc6e82145590ba2ffe6f11da2719d990.jpg,5.6,800,100,12:19:32
+1.0,2013-02-20,2013-02-20 12:01:51,1,1,9d331a8a2155568e0a9ddf1840419660.jpg,5.6,800,200,12:01:51
+1.0,2013-01-28,2013-01-28 12:42:24,1,1,528d3c7dc8e1943ba21a9b4d515f227c.jpg,5.6,800,100,12:42:24
+1.0,2012-03-08,2012-03-08 10:47:38,0,3,f2cdb45bad817a42c7f3025cd3598e7b.jpg,5.6,800,400,10:47:38
+1.0,2013-02-19,2013-02-19 16:22:33,1,1,f63be245a1100afe2d1a912584ebcd84.jpg,5.6,800,320,16:22:33
+1.0,2012-04-03,2012-04-03 11:05:41,0,3,fae115b5c6f46439e7d301f88331fcec.jpg,5.6,800,400,11:05:41
+1.0,2013-01-28,2013-01-28 12:40:09,1,1,0232b3972d99bd8bf62eebd3dd9c08ff.jpg,5.6,800,100,12:40:09
+1.0,2012-04-03,2012-04-03 09:39:35,0,3,dbd98ce1d587aa3f00cf08df40cadcd5.jpg,5.6,800,400,09:39:35
+1.0,2013-02-20,2013-02-20 12:14:07,1,1,b606f96183a535c860236d05219ef358.jpg,5.6,800,160,12:14:07
+1.0,2012-04-03,2012-04-03 09:41:25,0,3,5a227b0576a666ce94020b9c0dc2cdc8.jpg,5.6,800,400,09:41:25
+1.0,2013-02-19,2013-02-19 16:18:45,1,1,5f9f052c485057385816af2e964552ce.jpg,5.6,800,320,16:18:45
+1.0,2013-02-20,2013-02-20 12:03:19,1,1,23e93bbad2f964d7a588985955f0e4bb.jpg,5.6,800,200,12:03:19
+1.0,2013-01-29,2013-01-29 12:11:03,1,1,45fb035c6a84fff8aa161856e74ee81a.jpg,5.6,800,100,12:11:03
+1.0,2012-03-20,2012-03-20 11:04:38,0,3,c8868fcb0c4af970631d5cd4369b8285.jpg,5.6,800,400,11:04:38
+1.0,2013-01-28,2013-01-28 12:40:08,1,1,a8e531a52ae70d4f3098200f6ade1c4b.jpg,5.6,800,100,12:40:08
+1.0,2012-03-20,2012-03-20 13:57:48,0,3,e96856a2822e04a1267a2c3056618831.jpg,5.6,800,400,13:57:48
+1.0,2013-02-20,2013-02-20 12:40:00,1,1,419a2d7421ac1c12527b34ca8dbc2db7.jpg,5.6,800,100,12:40:00
+1.0,2013-01-29,2013-01-29 16:24:30,1,1,7d9c8530eac858b381e81515aa8641d1.jpg,5.6,800,200,16:24:30
+1.0,2012-04-03,2012-04-03 11:05:05,0,3,4b21608a3e8cfc1320d66fe0145a9c99.jpg,5.6,800,400,11:05:05
+1.0,2013-02-19,2013-02-19 16:23:02,1,1,e83f357d981ccabf80309614667586ed.jpg,5.6,800,400,16:23:02
+1.0,2012-03-20,2012-03-20 13:55:53,0,3,95bf890f220cee819c0c6910861dd021.jpg,5.6,800,400,13:55:53
+1.0,2012-03-06,2012-03-06 13:27:34,0,3,7d9367b367314b887542832578da504d.jpg,5.6,800,400,13:27:34
+1.0,2013-02-13,2013-02-13 12:12:57,1,1,d81df7a17d660af2d72e5dfcb4275ed9.jpg,5.6,800,100,12:12:57
+1.0,2012-03-08,2012-03-08 14:53:40,0,3,2803e50e14e4f059e022ad672620e448.jpg,5.6,800,400,14:53:40
+1.0,2012-03-20,2012-03-20 12:28:42,0,3,b25c3c5a07a12dd8532ca45087d3d916.jpg,5.6,800,400,12:28:42
+1.0,2012-04-03,2012-04-03 09:37:21,0,3,98b9838e7f0ed1cd17ff8cd6c4aad079.jpg,5.6,800,400,09:37:21
+1.0,2013-01-29,2013-01-29 16:24:59,1,1,f0ce026b3652ef6de7ae9c28563c624a.jpg,5.6,800,250,16:24:59
+1.0,2012-04-03,2012-04-03 11:10:46,0,3,a2a06360a4ef2f3954129c0d2c7d0596.jpg,5.6,800,400,11:10:46
+1.0,2013-01-29,2013-01-29 16:30:33,1,1,0e82612adb5029e2415024fdd3492f99.jpg,5.6,800,640,16:30:33
+1.0,2012-04-03,2012-04-03 11:05:39,0,3,96fb267f87bf355701e7b856e2ac74c3.jpg,5.6,800,400,11:05:39
+1.0,2013-01-29,2013-01-29 16:25:01,1,1,b0fac0f98879e51a6976a70a91b37cf5.jpg,5.6,800,250,16:25:01
+1.0,2013-01-29,2013-01-29 12:11:59,1,1,674b2fb3601a622c31c8bc4f12123eaa.jpg,5.6,800,100,12:11:59
+1.0,2013-02-20,2013-02-20 12:14:03,1,1,ff6ba9e0fa5209a03e91030c6113aece.jpg,5.6,800,160,12:14:03
+1.0,2013-02-20,2013-02-20 12:13:29,1,1,74d91a43b62a4e0367bcb89fde8b4770.jpg,5.6,800,160,12:13:29
+1.0,2013-01-29,2013-01-29 16:32:29,1,1,aaf8c608e35b5b0607c47942bdc214d9.jpg,5.6,800,500,16:32:29
+1.0,2012-04-03,2012-04-03 09:41:17,0,3,7fae5cc79307823a9526f9ad1b859a01.jpg,5.6,800,400,09:41:17
+1.0,2013-02-20,2013-02-20 12:13:15,1,1,8966304adef51e04bdeb013b90789f61.jpg,5.6,800,160,12:13:15
+1.0,2013-02-26,2013-02-26 12:16:09,1,1,eed084b30553092e0a41bff2898e68de.jpg,5.6,800,160,12:16:09
+1.0,2013-01-29,2013-01-29 12:07:57,1,1,1bc573d34a82bc4d58fc226307b082bb.jpg,5.6,800,100,12:07:57
+1.0,2012-03-20,2012-03-20 11:04:02,0,3,d9b050c73c85ea32c60a54e06c16a368.jpg,5.6,800,400,11:04:02
+1.0,2013-02-19,2013-02-19 16:19:38,1,1,df1497b638a7736b8a3c370e11fed594.jpg,5.6,800,400,16:19:38
+1.0,2013-02-26,2013-02-26 12:15:21,1,1,0d58918821294870723665538634f600.jpg,5.6,800,200,12:15:21
+1.0,2013-02-13,2013-02-13 12:49:38,1,1,86153693585206a875e0a4cc8739ace3.jpg,5.6,800,100,12:49:38
+1.0,2012-04-03,2012-04-03 11:12:30,0,3,deb52a12b381f6c2eb140a86e688dbbe.jpg,5.6,800,400,11:12:30
+1.0,2012-03-13,2012-03-13 11:08:59,0,3,0a48e885e88aad10045b1f87d794efac.jpg,5.6,800,400,11:08:59
+1.0,2013-02-13,2013-02-13 13:07:08,1,1,c9c4b8aa0f027ae7e6c4e314398d9189.jpg,5.6,800,100,13:07:08
+1.0,2013-01-28,2013-01-28 12:37:18,1,1,5ab8cd0c97e7562c9aca64486db2008e.jpg,5.6,800,100,12:37:18
+1.0,2012-04-03,2012-04-03 09:38:43,0,3,3ecf3a330160af8bcd93920c00acba4b.jpg,5.6,800,400,09:38:43
+1.0,2012-03-06,2012-03-06 13:31:25,0,3,650a1254201ad2170c772302ff1eb797.jpg,5.6,800,400,13:31:25
+1.0,2013-02-19,2013-02-19 16:19:32,1,1,fe2f444e3528985a41180d512b702111.jpg,5.6,800,320,16:19:32
+1.0,2013-02-26,2013-02-26 12:18:55,1,1,762399679dfd7144a988b8c97694b56f.jpg,5.6,800,200,12:18:55
+1.0,2013-02-26,2013-02-26 12:44:19,1,1,4a9ee2c2309d6996ce7ab7e635320d53.jpg,5.6,800,200,12:44:19
+1.0,2013-02-13,2013-02-13 12:57:20,1,1,72813efbdb8af881417b4d1c72d6c677.jpg,5.6,800,100,12:57:20
+1.0,2012-03-08,2012-03-08 14:54:06,0,3,8d2349c35cb4ac5af28a0d36db35e26a.jpg,5.6,800,400,14:54:06
+1.0,2012-03-20,2012-03-20 12:33:35,0,3,c14a039b300529be7ca035702b8f902b.jpg,5.6,800,400,12:33:35
+1.0,2013-02-13,2013-02-13 12:08:02,1,1,179b6362b727813be8835682b60bd86e.jpg,5.6,800,100,12:08:02
+1.0,2013-02-20,2013-02-20 12:06:20,1,1,51a029bbb39dd8cd4664e565aef34f66.jpg,5.6,800,200,12:06:20
+1.0,2012-03-20,2012-03-20 12:30:39,0,3,fea35c1eed43d1a5646aa8742508e70e.jpg,5.6,800,400,12:30:39
+1.0,2012-04-03,2012-04-03 11:13:08,0,3,fe9afdeace492f22f3a18645b0b7d669.jpg,5.6,800,400,11:13:08
+1.0,2013-02-13,2013-02-13 12:02:13,1,1,183d33be12dffdfe8a345ac13a216b80.jpg,5.6,800,100,12:02:13
+1.0,2013-01-29,2013-01-29 16:22:34,1,1,7e350d943f169ee2f1674c7312637539.jpg,5.6,800,400,16:22:34
+1.0,2013-01-28,2013-01-28 12:33:21,1,1,6889d66e31c53015aff1b50700f65691.jpg,5.6,800,100,12:33:21
+1.0,2013-01-29,2013-01-29 12:20:55,1,1,2d410538bd3fc2b16cd508c609c1a31d.jpg,5.6,800,100,12:20:55
+1.0,2013-01-28,2013-01-28 12:38:23,1,1,e03a57692bc431dc20b6cf8c6ca7ef09.jpg,5.6,800,100,12:38:23
+1.0,2013-02-19,2013-02-19 16:22:50,1,1,54fe9dcd26fedc2139fadb2434ad8a86.jpg,5.6,800,320,16:22:50
+1.0,2012-03-22,2012-03-22 11:09:50,0,3,defdf677cf0f0eb0e73d5eae20b4e1f2.jpg,5.6,800,400,11:09:50
+1.0,2013-02-13,2013-02-13 12:33:18,1,1,3155ced6433cdea82c005a5e8a99a9dd.jpg,5.6,800,100,12:33:18
+1.0,2012-04-03,2012-04-03 09:44:04,0,3,d99da3b549e73d0b6b58b9e10b8232cb.jpg,5.6,800,400,09:44:04
+1.0,2013-02-20,2013-02-20 12:23:56,1,1,8efaedcb4d14358473c0fda1f285ec53.jpg,5.6,800,100,12:23:56
+1.0,2012-03-13,2012-03-13 11:12:27,0,3,e2f77c96abba0cb9525287963812642f.jpg,5.6,800,400,11:12:27
+1.0,2013-01-28,2013-01-28 12:40:09,1,1,94f5806b805acc9ef0b9f4ea9a2bf180.jpg,5.6,800,100,12:40:09
+1.0,2013-02-19,2013-02-19 16:34:10,1,1,2d08d411aaae4947c766c2354f0dde55.jpg,5.6,800,320,16:34:10
+1.0,2012-03-20,2012-03-20 12:32:52,0,3,db4cc0059e7a510595dbe83660a31045.jpg,5.6,800,400,12:32:52
+1.0,2013-02-20,2013-02-20 12:45:32,1,1,b63b7b1a0c89c082e31d003392265772.jpg,5.6,800,100,12:45:32
+1.0,2012-04-03,2012-04-03 11:06:23,0,3,725f05d58b14ad91639d515b8ef53535.jpg,5.6,800,400,11:06:23
+1.0,2012-04-03,2012-04-03 12:31:18,0,3,dea51925019fb5683387c109224fdb41.jpg,5.6,800,400,12:31:18
+1.0,2012-03-22,2012-03-22 11:06:24,0,3,74e2443e7b35f1103a7faf21def0c9e9.jpg,5.6,800,400,11:06:24
+1.0,2012-03-20,2012-03-20 09:44:27,0,3,979b5238c6d265606ffda8a973d6021e.jpg,5.6,800,400,09:44:27
+1.0,2012-03-20,2012-03-20 15:25:13,0,3,f212f9513535125523f48bc0211e39f5.jpg,5.6,800,400,15:25:13
+1.0,2012-04-03,2012-04-03 09:36:37,0,3,f0d54596565810d9b7b902f9b34746d7.jpg,5.6,800,400,09:36:37
+1.0,2013-02-13,2013-02-13 12:49:06,1,1,a3a8b55a68ddbe6cd8adb55f5982b9f5.jpg,5.6,800,100,12:49:06
+1.0,2013-01-28,2013-01-28 12:33:22,1,1,d440e86cff7bb6c22459ba0e14aad7a3.jpg,5.6,800,100,12:33:22
+1.0,2012-04-03,2012-04-03 09:38:42,0,3,a9384d0bae653d265cc1debc49c79798.jpg,5.6,800,400,09:38:42
+1.0,2013-02-26,2013-02-26 12:09:54,1,1,66baba86572dcbee8db1713acc3295d6.jpg,5.6,800,200,12:09:54
+1.0,2013-01-29,2013-01-29 16:24:50,1,1,b357d569bf030efeeb73417aee8ef371.jpg,5.6,800,320,16:24:50
+1.0,2012-03-22,2012-03-22 13:58:02,0,3,1558189190187f54d06bc4e98aea8c5a.jpg,5.6,800,400,13:58:02
+1.0,2012-03-20,2012-03-20 12:36:52,0,3,371a3510919389752cd29c3acef4b58d.jpg,5.6,800,400,12:36:52
+1.0,2012-03-20,2012-03-20 13:56:47,0,3,f57adf2efb4c551d165e7d4a2f077c81.jpg,5.6,800,400,13:56:47
+1.0,2013-01-29,2013-01-29 16:22:10,1,1,c4b9fea6495805ec41ffa39f0262c245.jpg,5.6,800,400,16:22:10
+1.0,2012-03-20,2012-03-20 15:25:08,0,3,e025f33a7adfa6440bfa97ec7c2540da.jpg,5.6,800,400,15:25:08
+1.0,2013-01-28,2013-01-28 12:37:52,1,1,a9a5b4e4ef8fb9cf854a740a45d92c1e.jpg,5.6,800,100,12:37:52
+1.0,2013-02-19,2013-02-19 16:16:05,1,1,a299cc144d207adc78c9ebc10558233b.jpg,5.6,800,320,16:16:05
+1.0,2013-02-13,2013-02-13 12:59:09,1,1,78a41362360f447da59a798f38f6e455.jpg,5.6,800,100,12:59:09
+1.0,2012-03-06,2012-03-06 13:28:28,0,3,3450e97431510d1f73865c77b7dbb182.jpg,5.6,800,400,13:28:28
+1.0,2012-04-03,2012-04-03 09:44:31,0,3,b8ce8abe07c825a30adf66e6dd0f8800.jpg,5.6,800,400,09:44:31
+1.0,2013-02-26,2013-02-26 12:04:37,1,1,29e5fdf5b0c552cc32bf3cc061adcbcf.jpg,5.6,800,160,12:04:37
+1.0,2012-04-24,2012-04-24 09:41:27,0,3,acdb402b3db596c956b4b88df8e0b048.jpg,5.6,800,400,09:41:27
+1.0,2012-04-03,2012-04-03 09:38:05,0,3,217331e9d247827a84ce9a5351f6fb4b.jpg,5.6,800,400,09:38:05
+1.0,2012-03-08,2012-03-08 14:56:10,0,3,57d89db0cc9a721f0958a8a4b5a8069b.jpg,5.6,800,400,14:56:10
+1.0,2012-03-20,2012-03-20 09:42:27,0,3,3d71b7564719d5e63c3a57d0fe2db5c2.jpg,5.6,800,400,09:42:27
+1.0,2013-01-29,2013-01-29 12:09:16,1,1,c0e9f133f31a079732d70313cd804b1c.jpg,5.6,800,100,12:09:16
+1.0,2012-04-03,2012-04-03 09:40:48,0,3,075710625dc5e8d7def541001067e96c.jpg,5.6,800,400,09:40:48
+1.0,2012-03-20,2012-03-20 11:05:54,0,3,4fdedfa351796f2d8f80dc8bf9b8f59e.jpg,5.6,800,400,11:05:54
+1.0,2013-01-29,2013-01-29 12:32:04,1,1,7400bb9504f29f34b92793adad7367b1.jpg,5.6,800,100,12:32:04
+1.0,2012-03-20,2012-03-20 09:45:31,0,3,e75cc0af6a92d1ad52a0ba9e391842fc.jpg,5.6,800,400,09:45:31
+1.0,2013-02-20,2013-02-20 12:24:36,1,1,4f1ce1d305a0cc89bfb83a23a64fa625.jpg,5.6,800,100,12:24:36
+1.0,2012-03-20,2012-03-20 12:29:07,0,3,639841c671f5503066b79c841e439127.jpg,5.6,800,400,12:29:07
+1.0,2012-03-20,2012-03-20 12:31:34,0,3,4f9dc1296c2b13dbbdb52cc1bc0cb9a6.jpg,5.6,800,400,12:31:34
+1.0,2012-04-03,2012-04-03 09:42:31,0,3,2364260329d94f222032ba6e05a09aa1.jpg,5.6,800,400,09:42:31
+1.0,2013-01-29,2013-01-29 16:32:47,1,1,f4ca465160f9b0a485aca7a8296e5d18.jpg,5.6,800,320,16:32:47
+1.0,2013-02-26,2013-02-26 12:17:48,1,1,c01d7148b7e0188887c9b076873555c2.jpg,5.6,800,200,12:17:48
+1.0,2013-01-28,2013-01-28 12:37:08,1,1,afc34281ed6d9eafdd7dcfa6c2364b43.jpg,5.6,800,100,12:37:08
+1.0,2012-03-06,2012-03-06 13:28:22,0,3,248363c902430d76a6002cf570fce507.jpg,5.6,800,400,13:28:22
+1.0,2013-01-29,2013-01-29 12:10:05,1,1,76a97499b3cfdaac7d32a707d794d821.jpg,5.6,800,100,12:10:05
+1.0,2013-02-13,2013-02-13 13:16:18,1,1,7b89b1fd811612a748c84131cab0f656.jpg,5.6,800,100,13:16:18
+1.0,2013-01-29,2013-01-29 16:25:31,1,1,1362c20db8fbcf776959780324629206.jpg,5.6,800,320,16:25:31
+1.0,2012-04-03,2012-04-03 11:10:50,0,3,6c6b5579aa2b67e315e7ba4499651a07.jpg,5.6,800,400,11:10:50
+1.0,2012-03-20,2012-03-20 09:43:44,0,3,84728e4262f051cbf11bafa4ed680624.jpg,5.6,800,400,09:43:44
+1.0,2013-02-26,2013-02-26 12:10:30,1,1,4d1cdc80bd21ef8155dd843e0784c484.jpg,5.6,800,200,12:10:30
+1.0,2013-01-29,2013-01-29 12:31:03,1,1,d5836cafa4f938693c0d17081ba42436.jpg,5.6,800,100,12:31:03
+1.0,2013-02-20,2013-02-20 12:24:10,1,1,f75c7b4e2238244a3777628cb4ae437f.jpg,5.6,800,100,12:24:10
+1.0,2012-03-06,2012-03-06 13:29:21,0,3,2f78fea1498fc71da317bed0ab7aa6fc.jpg,5.6,800,400,13:29:21
+1.0,2013-02-19,2013-02-19 16:28:21,1,1,894ce9aac9c1ffdf3cc92f2193a7eaeb.jpg,5.6,800,320,16:28:21
+1.0,2013-01-28,2013-01-28 12:33:18,1,1,effac04e8615d1c42d98f811e39cd03e.jpg,5.6,800,100,12:33:18
+1.0,2013-02-20,2013-02-20 12:39:34,1,1,4e2db4b38418f800a635c60edcf18791.jpg,5.6,800,100,12:39:34
+1.0,2012-03-20,2012-03-20 13:56:40,0,3,3240e8a2c85cab8b09db058a7f6ec5fe.jpg,5.6,800,400,13:56:40
+1.0,2012-03-20,2012-03-20 11:08:43,0,3,13bf467b81725d7cc6febb6d9dd4583f.jpg,5.6,800,400,11:08:43
+1.0,2013-01-28,2013-01-28 12:42:40,1,1,ceb155d05fa5ef07c198fce19a3bcb7a.jpg,5.6,800,100,12:42:40
+1.0,2013-01-28,2013-01-28 12:41:38,1,1,718cb79917a09b05a98bbdcace65c853.jpg,5.6,800,100,12:41:38
+1.0,2013-01-29,2013-01-29 16:31:33,1,1,76006a432e07e8e147398f5f93200010.jpg,5.6,800,320,16:31:33
+1.0,2012-03-20,2012-03-20 12:30:36,0,3,d887827ec670eb128cd84a21ed7b51f9.jpg,5.6,800,400,12:30:36
+1.0,2013-01-29,2013-01-29 16:25:53,1,1,913503796646cc1c9bc37f03c54f3536.jpg,5.6,800,320,16:25:53
+1.0,2013-02-26,2013-02-26 12:41:07,1,1,d552a4999a7bd3ff520e79e84a3185bd.jpg,5.6,800,200,12:41:07
+1.0,2013-01-29,2013-01-29 12:18:08,1,1,213d58e2a82a84acdfd30e168544a80f.jpg,5.6,800,100,12:18:08
+1.0,2012-03-08,2012-03-08 10:46:37,0,3,8c8ee34902e23c70ff8d841d83c4f3f3.jpg,5.6,800,400,10:46:37
+1.0,2012-04-03,2012-04-03 09:39:49,0,3,61346a58ac03828449d4698d162a46f7.jpg,5.6,800,400,09:39:49
+1.0,2012-03-06,2012-03-06 13:31:39,0,3,31e02cbdf2409302b304f8d6d5b6884a.jpg,5.6,800,400,13:31:39
+1.0,2013-01-29,2013-01-29 12:34:18,1,1,ef0403d1829facbc2bc571b06ea035f9.jpg,5.6,800,100,12:34:18
+1.0,2013-01-28,2013-01-28 12:41:24,1,1,0abf809edddda0d93bd89ad4d9208755.jpg,5.6,800,100,12:41:24
+1.0,2013-02-13,2013-02-13 12:15:06,1,1,36dec66a715f591d200fa8ffa5fdac43.jpg,5.6,800,100,12:15:06
+1.0,2013-02-20,2013-02-20 12:07:01,1,1,eab4215616c4f590bbcb721079eac402.jpg,5.6,800,160,12:07:01
+1.0,2013-01-29,2013-01-29 12:17:23,1,1,a8cc8508ccd3a34971ca87ea8bce4c12.jpg,5.6,800,100,12:17:23
+1.0,2012-04-03,2012-04-03 11:04:31,0,3,32b12b081a7dacdda8445c12bf96f263.jpg,5.6,800,400,11:04:31
+1.0,2013-01-28,2013-01-28 12:40:27,1,1,a6b19a06ad516fbbc9ff59a3b2b95945.jpg,5.6,800,100,12:40:27
+1.0,2012-04-03,2012-04-03 09:35:41,0,3,d08f7b7306c688ad345cfab26f04f24a.jpg,5.6,800,400,09:35:41
+1.0,2012-03-20,2012-03-20 12:34:58,0,3,fb0504828034286298852f51c3df0343.jpg,5.6,800,400,12:34:58
+1.0,2012-04-03,2012-04-03 11:07:29,0,3,953c48b5bb18814bc3dadc85ba264bc1.jpg,5.6,800,400,11:07:29
+1.0,2013-01-28,2013-01-28 12:38:58,1,1,c591dc9adf8d60df336de7d71158032a.jpg,5.6,800,100,12:38:58
+1.0,2013-01-28,2013-01-28 12:36:16,1,1,efd19d6a651f5597391e9c54efe62816.jpg,5.6,800,100,12:36:16
+1.0,2013-01-28,2013-01-28 12:37:20,1,1,8c4e803e488415fb8f4a83503bdec56b.jpg,5.6,800,100,12:37:20
+1.0,2012-03-06,2012-03-06 13:29:20,0,3,7eebf7a5e5974fb5b6ff9c01fad74512.jpg,5.6,800,400,13:29:20
+1.0,2013-01-29,2013-01-29 12:33:43,1,1,1b866a43d9d2e967f26ca7e1c4f3fed2.jpg,5.6,800,100,12:33:43
+1.0,2012-04-24,2012-04-24 09:43:23,0,3,7602cf9e237d022d003b3f816adb2ac6.jpg,5.6,800,400,09:43:23
+1.0,2013-01-28,2013-01-28 12:33:21,1,1,efce65d225407f22d22b5447b6189e08.jpg,5.6,800,100,12:33:21
+1.0,2012-04-03,2012-04-03 09:36:57,0,3,59055f805ae1fa442ec518847dbb68fa.jpg,5.6,800,400,09:36:57
+1.0,2012-04-03,2012-04-03 11:11:36,0,3,fdc4c7edc13b17c28de69cf34e522519.jpg,5.6,800,400,11:11:36
+1.0,2012-03-13,2012-03-13 11:13:24,0,3,ab2b54d5edab5169e182b32e48b1b277.jpg,5.6,800,400,11:13:24
+1.0,2013-01-28,2013-01-28 12:41:22,1,1,92b71dea461f83acfe386890b3fc97e6.jpg,5.6,800,100,12:41:22
+1.0,2012-03-20,2012-03-20 11:07:52,0,3,2716a706f5616a551e7366325759b2e5.jpg,5.6,800,400,11:07:52
+1.0,2012-04-03,2012-04-03 09:43:22,0,3,9cc302d7363f1366bec6ee3ef2de66b9.jpg,5.6,800,400,09:43:22
+1.0,2013-01-28,2013-01-28 12:33:03,1,1,6d696af99aec5b2b3653bc63291b5b55.jpg,5.6,800,100,12:33:03
+1.0,2013-01-28,2013-01-28 12:37:40,1,1,13b681abe3a7e7763f167ed7ab2f673e.jpg,5.6,800,100,12:37:40
+1.0,2013-02-20,2013-02-20 12:06:03,1,1,388f90d22c5990f08b34c003cebfa1cc.jpg,5.6,800,200,12:06:03
+1.0,2012-03-20,2012-03-20 11:07:53,0,3,ac8861f391598aa318ea5ef230916522.jpg,5.6,800,400,11:07:53
+1.0,2013-01-28,2013-01-28 12:36:03,1,1,af573ecaaa77ab2641aab803d6b9fb9c.jpg,5.6,800,100,12:36:03
+1.0,2013-02-13,2013-02-13 12:32:30,1,1,2aa150c35e6bea3815fe289a0fa419c5.jpg,5.6,800,100,12:32:30
+1.0,2012-04-03,2012-04-03 11:11:57,0,3,9ab34ae137c14fc45760a88989a8b7a2.jpg,5.6,800,400,11:11:57
+1.0,2013-02-26,2013-02-26 12:19:41,1,1,b81ee8cddca8b37efd69f1229d08bb6c.jpg,5.6,800,200,12:19:41
+1.0,2012-03-20,2012-03-20 13:59:22,0,3,e6ce793ce342c8e1a9f293c8f54a7c9c.jpg,5.6,800,400,13:59:22
+1.0,2012-04-03,2012-04-03 11:08:41,0,3,a7e91661531ad78f7f0414f10a1d67a0.jpg,5.6,800,400,11:08:41
+1.0,2013-01-28,2013-01-28 12:33:27,1,1,8c2421018390749119829dfaf15c5636.jpg,5.6,800,100,12:33:27
+1.0,2012-03-20,2012-03-20 11:05:53,0,3,597d795876bae7c2d467d9f94e3ca238.jpg,5.6,800,400,11:05:53
+1.0,2013-02-13,2013-02-13 13:27:26,1,1,95efc3895299c3e5ae099994c7b46183.jpg,5.6,800,100,13:27:26
+1.0,2012-03-08,2012-03-08 12:13:12,0,3,f9076c94f8b78e3b20bf7d1a239dac00.jpg,5.6,800,400,12:13:12
+1.0,2012-03-08,2012-03-08 10:47:18,0,3,748da46c6d30fec46155cfa26828ac15.jpg,5.6,800,400,10:47:18
+1.0,2012-04-03,2012-04-03 09:39:43,0,3,835542877c00282a3a3de7542e219d8e.jpg,5.6,800,400,09:39:43
+1.0,2013-01-29,2013-01-29 12:17:57,1,1,8114bd9be1e7719f1024f458d8bda0c9.jpg,5.6,800,100,12:17:57
+1.0,2012-03-20,2012-03-20 15:22:23,0,3,96133b1597e9743c69afbaf39bbc13c7.jpg,5.6,800,400,15:22:23
+1.0,2013-02-19,2013-02-19 16:23:36,1,1,e513183bf69fef9a70a2609f61b4036f.jpg,5.6,800,400,16:23:36
+1.0,2013-02-19,2013-02-19 16:29:19,1,1,46f955489f5d2ff72c254f3a77f9dd5b.jpg,5.6,800,320,16:29:19
+1.0,2013-01-29,2013-01-29 12:11:37,1,1,763acdb4d89dc6c32176c7f3eb7407dc.jpg,5.6,800,100,12:11:37
+1.0,2013-01-28,2013-01-28 12:35:33,1,1,94fb5c8f87513183f2ae85afc447dcc0.jpg,5.6,800,100,12:35:33
+1.0,2012-04-03,2012-04-03 09:37:28,0,3,0618ccb073266a613b0b7c186588aef4.jpg,5.6,800,400,09:37:28
+1.0,2013-02-26,2013-02-26 12:10:36,1,1,199278befa630e9a7b78549f992ee2b4.jpg,5.6,800,160,12:10:36
+1.0,2013-02-13,2013-02-13 13:12:41,1,1,a2e2e96a50d1244539e76b414e10c03c.jpg,5.6,800,100,13:12:41
+1.0,2012-03-20,2012-03-20 12:33:02,0,3,4656dc1efbe7bda2643a3f35db0fe57c.jpg,5.6,800,400,12:33:02
+1.0,2012-03-20,2012-03-20 13:56:08,0,3,5a6609747b8eb92dd82f137cff89f5ae.jpg,5.6,800,400,13:56:08
+1.0,2012-04-03,2012-04-03 09:40:46,0,3,3dc956864b16efca98acd3b46b652cfc.jpg,5.6,800,400,09:40:46
+1.0,2013-01-28,2013-01-28 12:40:53,1,1,ef400d4df6294754512cd11032a2d8d3.jpg,5.6,800,100,12:40:53
+1.0,2012-03-20,2012-03-20 12:30:24,0,3,298c8f6c214a575984aa79561424f5bd.jpg,5.6,800,400,12:30:24
+1.0,2012-03-20,2012-03-20 13:57:26,0,3,14d91fa83d32415fcf3e996af19b0a8d.jpg,5.6,800,400,13:57:26
+1.0,2013-01-28,2013-01-28 12:38:35,1,1,6d9e719480a7df155b088809d7433a85.jpg,5.6,800,100,12:38:35
+1.0,2013-02-20,2013-02-20 12:13:35,1,1,11e0b21bc99eb46d59832045bb14b688.jpg,5.6,800,160,12:13:35
+1.0,2012-03-20,2012-03-20 12:32:12,0,3,d7a52f4de3af11febb7eb3e6d4d432af.jpg,5.6,800,400,12:32:12
+1.0,2013-01-29,2013-01-29 12:17:49,1,1,bf8b1791828484fdbb5958374b77fb29.jpg,5.6,800,100,12:17:49
+1.0,2013-01-28,2013-01-28 12:40:49,1,1,1d1a27888d452df1a7383f4725c929a9.jpg,5.6,800,100,12:40:49
+1.0,2013-02-19,2013-02-19 16:17:59,1,1,354b991efd25be16207839cf9e33da1d.jpg,5.6,800,320,16:17:59
+1.0,2013-01-29,2013-01-29 12:34:29,1,1,44ec52d148657628f4784073fb1e2809.jpg,5.6,800,100,12:34:29
+1.0,2013-01-29,2013-01-29 16:22:37,1,1,8df17664325e69a0e47dcf772cfb0530.jpg,5.6,800,400,16:22:37
+1.0,2013-02-20,2013-02-20 12:04:20,1,1,350f98c3c193990c7503b8f3c155db53.jpg,5.6,800,160,12:04:20
+1.0,2012-03-20,2012-03-20 15:24:01,0,3,16212dffbe5722571c978148df2cb137.jpg,5.6,800,400,15:24:01
+1.0,2013-02-13,2013-02-13 13:27:25,1,1,d5bec148767d03b6a2149761eab46072.jpg,5.6,800,100,13:27:25
+1.0,2013-02-19,2013-02-19 16:22:15,1,1,6f2a527d57e76a8d6699836f5a54b002.jpg,5.6,800,320,16:22:15
+1.0,2013-02-26,2013-02-26 12:16:20,1,1,6c8bdf75661938cb889c5c22a3d6c16e.jpg,5.6,800,200,12:16:20
+1.0,2013-02-13,2013-02-13 12:49:04,1,1,92d3866d2272044e8df5ff62098acf7f.jpg,5.6,800,100,12:49:04
+1.0,2012-03-08,2012-03-08 14:53:56,0,3,817b01a7ed145e7ba32c7c535988c89f.jpg,5.6,800,400,14:53:56
+1.0,2012-04-03,2012-04-03 12:37:44,0,3,beeb406df500b830fb46638e8ab0c511.jpg,5.6,800,400,12:37:44
+1.0,2012-04-03,2012-04-03 11:05:39,0,3,2e91c37aa898ccf6e105d2e9219294bb.jpg,5.6,800,400,11:05:39
+1.0,2012-02-23,2012-02-23 14:55:18,0,3,86bcae7122bc803ae17f21206c5995da.jpg,5.6,800,400,14:55:18
+1.0,2013-02-13,2013-02-13 13:08:06,1,1,1553ddba5789786110f950b57ceb9ff6.jpg,5.6,800,100,13:08:06
+1.0,2012-04-03,2012-04-03 09:43:27,0,3,231e6f2abfcf4a1438ce95db56b75275.jpg,5.6,800,400,09:43:27
+1.0,2013-01-29,2013-01-29 12:30:49,1,1,508e7bf80745493440c51e8c16f66546.jpg,5.6,800,100,12:30:49
+1.0,2012-04-24,2012-04-24 11:05:19,0,3,b9386936e870b28b67067e764e97f414.jpg,5.6,800,400,11:05:19
+1.0,2013-01-28,2013-01-28 12:39:01,1,1,199e44f0bc54f744082c05bb7b96f3e1.jpg,5.6,800,100,12:39:01
+1.0,2012-03-06,2012-03-06 13:29:39,0,3,dd8679c93c0b93b6372913b71099c418.jpg,5.6,800,400,13:29:39
+1.0,2013-01-28,2013-01-28 12:42:15,1,1,6b86a2ef74117c0f123445c929cc7751.jpg,5.6,800,100,12:42:15
+1.0,2012-03-20,2012-03-20 09:43:40,0,3,2e572bae91edf9506db2101de065a2b2.jpg,5.6,800,400,09:43:40
+1.0,2012-04-03,2012-04-03 11:12:53,0,3,806418c1d20def34524203ba8e3846cf.jpg,5.6,800,400,11:12:53
+1.0,2013-01-28,2013-01-28 12:38:58,1,1,809db3d7b5365765acd0fce095aefd87.jpg,5.6,800,100,12:38:58
+1.0,2012-03-20,2012-03-20 15:22:55,0,3,2264c0cea223558102419267731651a9.jpg,5.6,800,400,15:22:55
+1.0,2012-03-20,2012-03-20 13:59:15,0,3,bc13246a4c5a6406a1cbc741e0547e48.jpg,5.6,800,400,13:59:15
+1.0,2012-04-03,2012-04-03 11:04:02,0,3,6a0d51ad38bca5ba89c32f2ecc56f9d0.jpg,5.6,800,400,11:04:02
+1.0,2012-03-20,2012-03-20 13:56:10,0,3,9c39c32164b060e439591bc66109b9db.jpg,5.6,800,400,13:56:10
+1.0,2012-04-03,2012-04-03 09:35:06,0,3,ba7ea05c1b0b5129dd87f348a4b0121b.jpg,5.6,800,400,09:35:06
+1.0,2012-03-06,2012-03-06 13:31:59,0,3,d93b54a420e6ba02bf66d91dfd67595a.jpg,5.6,800,400,13:31:59
+1.0,2013-01-29,2013-01-29 12:18:01,1,1,1682cdb6e22efd9cfb9b90d40d59c214.jpg,5.6,800,100,12:18:01
+1.0,2012-04-03,2012-04-03 09:43:46,0,3,28d3f8af8057fd1e1e5ef709d395d5e9.jpg,5.6,800,400,09:43:46
+1.0,2012-04-03,2012-04-03 12:31:50,0,3,6f10e6f0b35c8dcae79088a3d0eb10dc.jpg,5.6,800,400,12:31:50
+1.0,2013-02-13,2013-02-13 12:45:01,1,1,7243c23b71c7dc3534af6ae6f6f5220f.jpg,5.6,800,100,12:45:01
+1.0,2012-03-20,2012-03-20 09:41:28,0,3,26f4007af48c4adf820d825130d12c5f.jpg,5.6,800,400,09:41:28
+1.0,2013-02-13,2013-02-13 12:14:54,1,1,6655bf2875e8a023f699b314b32063fb.jpg,5.6,800,100,12:14:54
+1.0,2013-02-20,2013-02-20 12:10:12,1,1,c3cbecaecf639cf70a84151a1a146b5d.jpg,5.6,800,160,12:10:12
+1.0,2013-01-28,2013-01-28 12:34:05,1,1,20c1996a553234240cc8c4eecf65570e.jpg,5.6,800,100,12:34:05
+1.0,2012-03-20,2012-03-20 11:05:49,0,3,67732e444f0782f2afdfd79923edff27.jpg,5.6,800,400,11:05:49
+1.0,2013-02-20,2013-02-20 12:44:22,1,1,087e4e5603db5f954f2bdb2fbf712bf5.jpg,5.6,800,100,12:44:22
+1.0,2012-04-03,2012-04-03 11:11:17,0,3,191ec2299834ce576c8143bc81f81d64.jpg,5.6,800,400,11:11:17
+1.0,2013-01-29,2013-01-29 12:10:58,1,1,f57d2bcd10f3c5d89597ccbf6279f593.jpg,5.6,800,100,12:10:58
+1.0,2013-01-29,2013-01-29 12:34:34,1,1,8d42be69bf6eaf206440521831319ebf.jpg,5.6,800,100,12:34:34
+1.0,2012-03-20,2012-03-20 09:41:26,0,3,44e77db65b9f91fc526b80e39b02106b.jpg,5.6,800,400,09:41:26
+1.0,2012-03-20,2012-03-20 13:57:57,0,3,a847f76931eefbe5af71e3cc3536c042.jpg,5.6,800,400,13:57:57
+1.0,2013-02-26,2013-02-26 12:11:30,1,1,3e45107dc347607b2d54b27987f6d681.jpg,5.6,800,160,12:11:30
+1.0,2012-03-20,2012-03-20 09:46:34,0,3,661c85efec91d7ec1b99ec8e69ad1664.jpg,5.6,800,400,09:46:34
+1.0,2012-03-08,2012-03-08 10:46:27,0,3,227a3436f23d1c4c5b88e9fb8f57ad2b.jpg,5.6,800,400,10:46:27
+1.0,2013-02-26,2013-02-26 12:11:01,1,1,2e6c3c2e3c45d18782e676dfc9866bd4.jpg,5.6,800,200,12:11:01
+1.0,2013-02-13,2013-02-13 13:06:50,1,1,53532b3449e97e9dadf52f6c97292de2.jpg,5.6,800,100,13:06:50
+1.0,2013-02-26,2013-02-26 12:15:16,1,1,5b7946d4cbdc820d10c68ce317790933.jpg,5.6,800,200,12:15:16
+1.0,2012-03-20,2012-03-20 15:23:17,0,3,9c4c6b1a6321a2dd4f0190ba2a04dc99.jpg,5.6,800,400,15:23:17
+1.0,2013-01-29,2013-01-29 16:33:10,1,1,9b8dce7eba3e158ce66fc6abf5d0174e.jpg,5.6,800,320,16:33:10
+1.0,2013-02-26,2013-02-26 12:13:04,1,1,f52aeac63b158f8819b0adc08041aa27.jpg,5.6,800,200,12:13:04
+1.0,2012-03-22,2012-03-22 11:09:46,0,3,f24a7aee7b993eaff611063f246c8172.jpg,5.6,800,400,11:09:46
+1.0,2012-03-08,2012-03-08 12:13:12,0,3,7223d23b0d9d0ff175fc63e981e3086d.jpg,5.6,800,400,12:13:12
+1.0,2012-03-20,2012-03-20 09:47:32,0,3,2364984ec47a7bd9c613a8a572578b8d.jpg,5.6,800,400,09:47:32
+1.0,2012-03-20,2012-03-20 15:24:17,0,3,aaa23f6f83cfa6c6da2adfbf3b3d210b.jpg,5.6,800,400,15:24:17
+1.0,2012-04-03,2012-04-03 09:43:58,0,3,ecc2517f8f05012846afb9da101885c9.jpg,5.6,800,400,09:43:58
+1.0,2012-03-20,2012-03-20 12:31:36,0,3,55dede3a3442a97a7d1af80586342aeb.jpg,5.6,800,400,12:31:36
+1.0,2013-02-19,2013-02-19 16:25:35,1,1,00e390a5024dfaf0b7d5ade130bf0164.jpg,5.6,800,320,16:25:35
+1.0,2013-02-20,2013-02-20 12:17:41,1,1,22a0912cc8ee8848b254ce46fdacca03.jpg,5.6,800,100,12:17:41
+1.0,2013-02-20,2013-02-20 12:07:13,1,1,7a805ff41200f46a46c0fa6c4cd07c8a.jpg,5.6,800,250,12:07:13
+1.0,2012-03-20,2012-03-20 09:47:09,0,3,f2a2d9b004f25b4cf57197c244b19eea.jpg,5.6,800,400,09:47:09
+1.0,2013-01-28,2013-01-28 12:33:15,1,1,7d3fe50411048945607b4e45097abc7d.jpg,5.6,800,100,12:33:15
+1.0,2012-03-08,2012-03-08 14:53:35,0,3,bbb459f7b7aa15e8cf681bef8b886c03.jpg,5.6,800,400,14:53:35
+1.0,2012-03-20,2012-03-20 15:22:18,0,3,59519f6e7695529f4bbae8d70267e480.jpg,5.6,800,400,15:22:18
+1.0,2012-03-20,2012-03-20 15:23:15,0,3,29d7f2943b2f473ffdebd2fee794ab79.jpg,5.6,800,400,15:23:15
+1.0,2013-01-29,2013-01-29 12:33:14,1,1,b3013d744896e143f0b1eb1789f8e86c.jpg,5.6,800,100,12:33:14
+1.0,2013-02-20,2013-02-20 12:01:56,1,1,016b220be60f7ab88e1c7038e4dad20b.jpg,5.6,800,160,12:01:56
+1.0,2012-03-20,2012-03-20 12:35:06,0,3,85d0f3f3df421b33dc7c413b67245ce4.jpg,5.6,800,400,12:35:06
+1.0,2012-03-13,2012-03-13 11:08:48,0,3,01b3e50adecae586e81b1ecdccf2ecbc.jpg,5.6,800,400,11:08:48
+1.0,2012-04-03,2012-04-03 11:08:45,0,3,83525d1e3a974e7ae2b81be00bf6fd2f.jpg,5.6,800,400,11:08:45
+1.0,2013-02-20,2013-02-20 12:11:34,1,1,a5ccf1c4c07092e8e52c1d7fd6e10ef6.jpg,5.6,800,160,12:11:34
+1.0,2013-01-29,2013-01-29 12:09:26,1,1,28ec9e45ecae95392d54ea2559d8af1d.jpg,5.6,800,100,12:09:26
+1.0,2013-02-26,2013-02-26 12:21:20,1,1,69665cca6eb5ce6858343d22e022a177.jpg,5.6,800,200,12:21:20
+1.0,2013-01-29,2013-01-29 12:11:51,1,1,785b4adac6569083eec0c1d3e8165e65.jpg,5.6,800,100,12:11:51
+1.0,2012-04-03,2012-04-03 11:05:52,0,3,5da30fbe8c2c047b4610683ec8d0860a.jpg,5.6,800,400,11:05:52
+1.0,2013-01-28,2013-01-28 12:33:28,1,1,27d814ba86513948c14cd63489b4f099.jpg,5.6,800,100,12:33:28
+1.0,2012-03-20,2012-03-20 13:57:19,0,3,9f3549ab944c2e9c49db02b13fccc56e.jpg,5.6,800,400,13:57:19
+1.0,2013-02-13,2013-02-13 12:00:07,1,1,d54b85e636dd21048aeef010b544a4a4.jpg,5.6,800,100,12:00:07
+1.0,2012-04-03,2012-04-03 11:10:49,0,3,ef0f8f161d4c48b3159bda91a52be2c6.jpg,5.6,800,400,11:10:49
+1.0,2013-02-19,2013-02-19 16:21:48,1,1,57488d281f3a49901817fa3517dfe461.jpg,5.6,800,320,16:21:48
+1.0,2013-01-28,2013-01-28 12:37:53,1,1,7ae1135704062cff2427aa87ec419ae8.jpg,5.6,800,100,12:37:53
+1.0,2013-01-29,2013-01-29 12:16:22,1,1,1ba610a74e40fabd3a1809602a713112.jpg,5.6,800,100,12:16:22
+1.0,2012-03-20,2012-03-20 13:57:49,0,3,1f8cfccc22036261f39ab325066cdc64.jpg,5.6,800,400,13:57:49
+1.0,2013-01-29,2013-01-29 12:10:23,1,1,568e0c19981a73402a8e8a77960027f4.jpg,5.6,800,100,12:10:23
+1.0,2013-01-29,2013-01-29 16:30:56,1,1,5fa46198d12a3007030901f540c2b3f1.jpg,5.6,800,320,16:30:56
+1.0,2013-02-19,2013-02-19 16:19:56,1,1,f746351f10da6e9a7704c5d313a3377a.jpg,5.6,800,320,16:19:56
+1.0,2012-04-03,2012-04-03 11:06:36,0,3,776b80187a883edbafc3a2207d08fd1b.jpg,5.6,800,400,11:06:36
+1.0,2013-02-20,2013-02-20 12:11:09,1,1,85822ecc42aa621dd7efbe10822c6b10.jpg,5.6,800,160,12:11:09
+1.0,2013-01-29,2013-01-29 12:11:54,1,1,2ea27ba967436332232b4d946f00a731.jpg,5.6,800,100,12:11:54
+1.0,2013-02-13,2013-02-13 13:15:22,1,1,1e09f44c475448a15e2814816549ed6b.jpg,5.6,800,100,13:15:22
+1.0,2013-02-26,2013-02-26 12:16:14,1,1,3bc33f1e79ffc44487dad53ea5cd33b0.jpg,5.6,800,200,12:16:14
+1.0,2013-01-29,2013-01-29 12:10:03,1,1,a72f36ceaec3d938127db5a93357c91b.jpg,5.6,800,100,12:10:03
+1.0,2013-01-28,2013-01-28 12:40:57,1,1,3844a2f22a53a6ad69375a10b390c8af.jpg,5.6,800,100,12:40:57
+1.0,2013-01-29,2013-01-29 16:30:34,1,1,d65a2dba45b0a50d86f5cd1a47922049.jpg,5.6,800,640,16:30:34
+1.0,2012-03-08,2012-03-08 10:45:25,0,3,84f7d40d98622bf235a06baa46734710.jpg,5.6,800,400,10:45:25
+1.0,2013-02-20,2013-02-20 12:06:58,1,1,f218256d868d6f7cf911c5a8340e7b41.jpg,5.6,800,200,12:06:58
+1.0,2013-01-29,2013-01-29 16:21:09,1,1,1b7040d7ad2d3b4467d3d6b719660a23.jpg,5.6,800,400,16:21:09
+1.0,2012-04-03,2012-04-03 09:37:56,0,3,f624fe010d24622bab08835ce253d33b.jpg,5.6,800,400,09:37:56
+1.0,2012-04-12,2012-04-12 12:35:14,0,3,80aa8b1589af9b1b87a1155e3c76aa66.jpg,5.6,800,400,12:35:14
+1.0,2013-02-20,2013-02-20 12:25:24,1,1,013cf36fedc51af4466d2890ded901b6.jpg,5.6,800,100,12:25:24
+1.0,2012-03-20,2012-03-20 13:56:17,0,3,42248733805f8ff275bc9208dddf22f3.jpg,5.6,800,400,13:56:17
+1.0,2012-03-08,2012-03-08 14:54:09,0,3,da820c4ada09c9c9974b43d1522b4706.jpg,5.6,800,400,14:54:09
+1.0,2012-03-22,2012-03-22 11:06:58,0,3,9b02b9d8f385a0b0828392414d2cc13f.jpg,5.6,800,400,11:06:58
+1.0,2013-01-28,2013-01-28 12:33:21,1,1,a00a111ebbe9e3b2218b2f81a0143ce7.jpg,5.6,800,100,12:33:21
+1.0,2013-02-13,2013-02-13 12:45:52,1,1,48f4c4b25960ae6eecd3a3528c80eeed.jpg,5.6,800,100,12:45:52
+1.0,2012-03-22,2012-03-22 11:09:52,0,3,c114624e5ff6fa2f44fa5897c9e528f2.jpg,5.6,800,400,11:09:52
+1.0,2012-04-03,2012-04-03 09:35:55,0,3,3f5b9bfa4a69ae89027cac41d01f44ee.jpg,5.6,800,400,09:35:55
+1.0,2013-02-20,2013-02-20 12:04:06,1,1,769fcb7158d5f1f863997a8b7a3c0df3.jpg,5.6,800,200,12:04:06
+1.0,2012-03-20,2012-03-20 15:25:07,0,3,8bf2297b1df418c5cbbba1cc58a71490.jpg,5.6,800,400,15:25:07
+1.0,2013-02-13,2013-02-13 13:07:10,1,1,c0e6e545feb9cd231f4566835bdbf054.jpg,5.6,800,100,13:07:10
+1.0,2013-02-19,2013-02-19 16:14:43,1,1,c6ba7a980803c0e7cd4dff96fa055634.jpg,5.6,800,320,16:14:43
+1.0,2012-03-13,2012-03-13 11:09:36,0,3,fcd43f26b9857e78ce92463f04c27a1e.jpg,5.6,800,400,11:09:36
+1.0,2013-01-28,2013-01-28 12:40:49,1,1,02e906901d775f2348a242237fa44906.jpg,5.6,800,100,12:40:49
+1.0,2012-03-20,2012-03-20 13:59:17,0,3,ddd8c197298805a0d07ffafebe39282d.jpg,5.6,800,400,13:59:17
+1.0,2012-04-03,2012-04-03 09:35:30,0,3,550bd13673562cace9bc11a2d3826b32.jpg,5.6,800,400,09:35:30
+1.0,2012-02-23,2012-02-23 14:57:40,0,3,36f710935049ed45d1e6f021378cdc6a.jpg,5.6,800,400,14:57:40
+1.0,2012-03-20,2012-03-20 12:32:02,0,3,f05092647016ddff05e45aa9521bb2d6.jpg,5.6,800,400,12:32:02
+1.0,2013-01-28,2013-01-28 12:41:53,1,1,bb77591343e300d1646d3f72bdf3e34a.jpg,5.6,800,100,12:41:53
+1.0,2012-03-20,2012-03-20 12:34:54,0,3,a8c2dbf7bd85e0db12fb896985cf4a1d.jpg,5.6,800,400,12:34:54
+1.0,2013-01-28,2013-01-28 12:40:54,1,1,44ec6ff6fb7f11a0651a12b3d3eda63a.jpg,5.6,800,100,12:40:54
+1.0,2013-02-13,2013-02-13 13:27:36,1,1,9fceb124130ba747cc3325b59d35e36f.jpg,5.6,800,100,13:27:36
+1.0,2012-04-03,2012-04-03 09:38:07,0,3,df17fadb309e02a220035ae1360705fd.jpg,5.6,800,400,09:38:07
+1.0,2013-01-28,2013-01-28 12:34:37,1,1,bf068e6e41cc4ec4addf3d6eba011fc7.jpg,5.6,800,100,12:34:37
+1.0,2012-04-03,2012-04-03 11:08:04,0,3,4e1a149f59a8cfaccaa210043c505682.jpg,5.6,800,400,11:08:04
+1.0,2013-02-26,2013-02-26 12:26:35,1,1,72268b4d15e7c9d16cb82bc748febcdf.jpg,5.6,800,200,12:26:35
+1.0,2012-03-22,2012-03-22 11:06:32,0,3,0d4dbae5373071c81483249119b8b989.jpg,5.6,800,400,11:06:32
+1.0,2012-04-03,2012-04-03 11:12:16,0,3,99b28548e91f6be18b05a2e41bf1b0e8.jpg,5.6,800,400,11:12:16
+1.0,2013-02-20,2013-02-20 12:20:16,1,1,75a3cf9deb4559282b81ae159ec14f84.jpg,5.6,800,100,12:20:16
+1.0,2013-02-13,2013-02-13 12:58:58,1,1,a321be37dac520ad6471819ee407b096.jpg,5.6,800,100,12:58:58
+1.0,2012-04-03,2012-04-03 11:06:24,0,3,43e4152d4ca4a49ccdb879eaac89e19f.jpg,5.6,800,400,11:06:24
+1.0,2012-03-20,2012-03-20 12:32:02,0,3,fb8d14719688d54f6c79d5fc7d85e5e6.jpg,5.6,800,400,12:32:02
+1.0,2012-03-22,2012-03-22 11:04:03,0,3,be5c284b221f74b8c961db2d86706012.jpg,5.6,800,400,11:04:03
+1.0,2013-02-19,2013-02-19 16:16:12,1,1,b491acc16a305c9e141bf0ce874caed9.jpg,5.6,800,320,16:16:12
+1.0,2013-02-20,2013-02-20 12:24:37,1,1,34d93342f011a7825e976d709cba73ca.jpg,5.6,800,100,12:24:37
+1.0,2012-03-20,2012-03-20 12:32:07,0,3,6a7058a23f2322fa9fa1fa7e009d7447.jpg,5.6,800,400,12:32:07
+1.0,2013-02-20,2013-02-20 12:14:40,1,1,82d0f8f4b0c39f57313cf735abb969a1.jpg,5.6,800,125,12:14:40
+1.0,2012-03-20,2012-03-20 12:35:09,0,3,dfde85a1142cc7e5b5197439ea106221.jpg,5.6,800,400,12:35:09
+1.0,2012-04-03,2012-04-03 11:07:27,0,3,89c8c07b72627515fe6171e45fc9761b.jpg,5.6,800,400,11:07:27
+1.0,2013-01-28,2013-01-28 12:42:46,1,1,30cb3afdded113483ea47401233eb998.jpg,5.6,800,100,12:42:46
+1.0,2012-03-08,2012-03-08 15:01:06,0,3,d0a643cb43ec9cdd998140ea2728200e.jpg,5.6,800,400,15:01:06
+1.0,2012-04-03,2012-04-03 11:13:17,0,3,5e0f85af21f1044f65395f1ca6ea2b62.jpg,5.6,800,400,11:13:17
+1.0,2012-03-13,2012-03-13 11:08:48,0,3,932c4f717b49eba96f645ea8a892c4ed.jpg,5.6,800,400,11:08:48
+1.0,2012-03-06,2012-03-06 13:31:23,0,3,74780364bb22d4c392e132880dda8add.jpg,5.6,800,400,13:31:23
+1.0,2013-02-19,2013-02-19 16:26:35,1,1,5770717ef9fbe70778f34b182dd25b2f.jpg,5.6,800,320,16:26:35
+1.0,2012-03-20,2012-03-20 12:32:46,0,3,a3c3063de90d36629f07ab1119479acb.jpg,5.6,800,400,12:32:46
+1.0,2013-02-26,2013-02-26 12:04:41,1,1,18ea55165a8b0aeb398f5fd4407246a9.jpg,5.6,800,160,12:04:41
+1.0,2012-03-20,2012-03-20 15:24:13,0,3,e18bb82aedb81d671486f34715b5cd2f.jpg,5.6,800,400,15:24:13
+1.0,2013-02-20,2013-02-20 12:01:30,1,1,88fe8e466b825c21d0a77e509b3a6556.jpg,5.6,800,160,12:01:30
+1.0,2013-01-28,2013-01-28 12:40:48,1,1,62a411106b6b2b45f36fa7280eb2d38b.jpg,5.6,800,100,12:40:48
+1.0,2013-02-13,2013-02-13 12:02:51,1,1,0f95d23ec2d691de102edee04bc20b1c.jpg,5.6,800,100,12:02:51
+1.0,2012-04-03,2012-04-03 09:37:46,0,3,3f34d054d9745b0de53bc22af9bb45b5.jpg,5.6,800,400,09:37:46
+1.0,2012-04-03,2012-04-03 11:12:08,0,3,7c945076632152b233b6f36d508184cc.jpg,5.6,800,400,11:12:08
+1.0,2012-04-03,2012-04-03 11:05:47,0,3,cc708f5341250d630b3f9179c46c530d.jpg,5.6,800,400,11:05:47
+1.0,2013-02-20,2013-02-20 12:10:13,1,1,02933b711565fbb80a228201fd8b3264.jpg,5.6,800,160,12:10:13
+1.0,2013-02-20,2013-02-20 12:16:43,1,1,c521dd6af205f33f9d19f70350816143.jpg,5.6,800,125,12:16:43
+1.0,2013-02-19,2013-02-19 16:28:23,1,1,47d75c896079e1e700b48396f3859a49.jpg,5.6,800,320,16:28:23
+1.0,2012-04-03,2012-04-03 09:44:54,0,3,a2c2e64824b385fa9e97eea73da5f212.jpg,5.6,800,400,09:44:54
+1.0,2013-01-29,2013-01-29 12:34:30,1,1,9d4a9d0e9a43f992e3f8cadb04e69be6.jpg,5.6,800,100,12:34:30
+1.0,2012-04-03,2012-04-03 09:35:13,0,3,9e5153471473cb38946da3cb80fb8e8b.jpg,5.6,800,400,09:35:13
+1.0,2013-02-13,2013-02-13 13:14:17,1,1,5d67a171f594d166ab32af5ffd458d1a.jpg,5.6,800,100,13:14:17
+1.0,2013-01-29,2013-01-29 16:29:38,1,1,101a808c49ceb6b5edb33031ad6648ee.jpg,5.6,800,320,16:29:38
+1.0,2013-01-29,2013-01-29 12:10:22,1,1,33a62d2586c727b46ee77fe493c331f4.jpg,5.6,800,100,12:10:22
+1.0,2012-03-20,2012-03-20 09:44:22,0,3,38fdab47086d4a432a3d77a3ebcbdd0c.jpg,5.6,800,400,09:44:22
+1.0,2012-03-06,2012-03-06 13:27:39,0,3,3d71ffa22565010e3848d221075485a2.jpg,5.6,800,400,13:27:39
+1.0,2013-02-19,2013-02-19 16:19:43,1,1,09e151164931f4f199cb2e0eb455e8c3.jpg,5.6,800,320,16:19:43
+1.0,2012-04-03,2012-04-03 11:08:41,0,3,36755b4fc4509e727100aade6bf75fdd.jpg,5.6,800,400,11:08:41
+1.0,2013-01-28,2013-01-28 12:42:33,1,1,cfcf4333c8e81501b33e2777a583bb5e.jpg,5.6,800,100,12:42:33
+1.0,2012-03-22,2012-03-22 11:04:05,0,3,e08fc0f751655a97bc066ccfa875e39e.jpg,5.6,800,400,11:04:05
+1.0,2013-01-28,2013-01-28 12:37:19,1,1,c4a1c509e2c32fd58779b8cc06aa7f40.jpg,5.6,800,100,12:37:19
+1.0,2012-04-03,2012-04-03 11:11:08,0,3,58bc67e495843a795bf56414e1df6cfa.jpg,5.6,800,400,11:11:08
+1.0,2013-02-26,2013-02-26 12:17:20,1,1,789dfde5c313dc013bc56f2e6eb2ef81.jpg,5.6,800,200,12:17:20
+1.0,2013-02-20,2013-02-20 12:10:09,1,1,27d487a0be948d4f608938ea925c676d.jpg,5.6,800,160,12:10:09
+1.0,2013-02-26,2013-02-26 12:10:56,1,1,a26e883ab0ff81aedca723abcea37b43.jpg,5.6,800,160,12:10:56
+1.0,2013-02-20,2013-02-20 12:22:34,1,1,a66d83c1a6331e82d54ab93ddfd5cbec.jpg,5.6,800,100,12:22:34
+1.0,2013-02-20,2013-02-20 12:08:33,1,1,c501571c22bde0d7716e6e5c09949cd9.jpg,5.6,800,200,12:08:33
+1.0,2012-03-06,2012-03-06 13:27:56,0,3,ecd0455c18ba34fe23df91b6a3f22728.jpg,5.6,800,400,13:27:56
+1.0,2012-03-20,2012-03-20 09:41:11,0,3,78ffb5833f3543c94aac9cbd4f1b4096.jpg,5.6,800,400,09:41:11
+1.0,2013-01-28,2013-01-28 12:41:23,1,1,10ddee0af78fca65e04c9521681e09d1.jpg,5.6,800,100,12:41:23
+1.0,2013-02-13,2013-02-13 12:15:00,1,1,9bbbe129c30369a339aa01f6899638f4.jpg,5.6,800,100,12:15:00
+1.0,2012-03-08,2012-03-08 12:12:06,0,3,700de7e15b57b5b4b213eea16d530ccd.jpg,5.6,800,400,12:12:06
+1.0,2013-01-28,2013-01-28 12:36:10,1,1,16daeba04644c265b72d4804a6b1d774.jpg,5.6,800,100,12:36:10
+1.0,2013-02-19,2013-02-19 16:31:36,1,1,d64e393ef596e043e92344ad859d8d68.jpg,5.6,800,320,16:31:36
+1.0,2013-01-29,2013-01-29 16:34:00,1,1,576ffcd007008382ddeeadf290be25f7.jpg,5.6,800,800,16:34:00
+1.0,2013-02-13,2013-02-13 13:18:16,1,1,022f31a0f69a21dbece9104d52cfd265.jpg,5.6,800,100,13:18:16
+1.0,2012-04-03,2012-04-03 11:08:02,0,3,505e914c635196271c7ea9d24463defa.jpg,5.6,800,400,11:08:02
+1.0,2012-03-20,2012-03-20 13:56:00,0,3,b6095acb602d49e7766c2fad2b72c3e3.jpg,5.6,800,400,13:56:00
+1.0,2013-01-29,2013-01-29 16:23:23,1,1,2babf369b27a948111bfc1535c000c09.jpg,5.6,800,320,16:23:23
+1.0,2013-02-20,2013-02-20 12:11:00,1,1,c731bb1adbdf399f74fe7673f2d7b833.jpg,5.6,800,160,12:11:00
+1.0,2012-03-20,2012-03-20 12:32:51,0,3,d8e01f3e5b3a2018712f72157be4f916.jpg,5.6,800,400,12:32:51
+1.0,2012-04-03,2012-04-03 09:39:34,0,3,54e1c5632b634112ea28102742d1e3d8.jpg,5.6,800,400,09:39:34
+1.0,2012-03-20,2012-03-20 09:44:15,0,3,d9e549c3dfaaf3e13678f5270e1aefd3.jpg,5.6,800,400,09:44:15
+1.0,2013-02-26,2013-02-26 12:16:10,1,1,cf0c769dfafd91211ccba1172c50d2f4.jpg,5.6,800,200,12:16:10
+1.0,2013-01-29,2013-01-29 16:33:01,1,1,a119a78cc511299b2b001cdf78ece1e5.jpg,5.6,800,320,16:33:01
+1.0,2013-01-29,2013-01-29 16:34:22,1,1,f9b4a720a922eac670b9d776d62a4a70.jpg,5.6,800,400,16:34:22
+1.0,2013-01-29,2013-01-29 16:32:32,1,1,b4c25be8c2f1f7c0a70b6570622d5487.jpg,5.6,800,320,16:32:32
+1.0,2013-01-29,2013-01-29 12:27:20,1,1,1d2d033726ccc6c90fa540e274eb06d3.jpg,5.6,800,100,12:27:20
+1.0,2012-04-03,2012-04-03 12:27:16,0,3,98d671bd21952b4f098d6d00b4414525.jpg,5.6,800,400,12:27:16
+1.0,2013-01-28,2013-01-28 12:41:04,1,1,52e19f34dea9e9956eaf1cb48b9f864c.jpg,5.6,800,100,12:41:04
+1.0,2012-03-06,2012-03-06 13:32:37,0,3,2ef2a4d9f56933268949caa3533ad44c.jpg,5.6,800,400,13:32:37
+1.0,2013-01-29,2013-01-29 12:34:02,1,1,abb95e73493b75735f1884e202e8ea57.jpg,5.6,800,100,12:34:02
+1.0,2013-01-29,2013-01-29 12:34:33,1,1,f73f02f1111e86618ccda1567f5dbe9c.jpg,5.6,800,100,12:34:33
+1.0,2012-03-08,2012-03-08 10:46:08,0,3,7c02dea887b1372d9335c43706d8b3a7.jpg,5.6,800,400,10:46:08
+1.0,2013-01-29,2013-01-29 12:27:29,1,1,27ba1bbddf3593e744d3e6dbdcf7254c.jpg,5.6,800,100,12:27:29
+1.0,2013-01-28,2013-01-28 12:33:29,1,1,013d8fd3b067eeca820a6f6d4da88e46.jpg,5.6,800,100,12:33:29
+1.0,2012-04-03,2012-04-03 09:35:24,0,3,b2b04ad8141d2660ee56032d9d18c3a3.jpg,5.6,800,400,09:35:24
+1.0,2013-01-28,2013-01-28 12:38:57,1,1,a72a5dc6c511f7f49c456044458cfddd.jpg,5.6,800,100,12:38:57
+1.0,2012-03-06,2012-03-06 13:30:22,0,3,5f07f32093a1d8a57c4d6bfe68b8fcd5.jpg,5.6,800,400,13:30:22
+1.0,2012-04-03,2012-04-03 09:40:50,0,3,d4f314411c7a7b6eba4fe764dfe770a6.jpg,5.6,800,400,09:40:50
+1.0,2013-02-20,2013-02-20 12:04:27,1,1,028a6e7d2f56ad76b395d7db1213f8bf.jpg,5.6,800,160,12:04:27
+1.0,2012-02-23,2012-02-23 14:55:19,0,3,be9264d596b6ec7bc9949ddf38e41d41.jpg,5.6,800,400,14:55:19
+1.0,2012-04-03,2012-04-03 09:36:53,0,3,3d682e4b68a90ddf7f00bb361214e30d.jpg,5.6,800,400,09:36:53
+1.0,2013-02-13,2013-02-13 12:45:07,1,1,b44f66f478c5c95c44f5c1e42fe88279.jpg,5.6,800,100,12:45:07
+1.0,2013-01-29,2013-01-29 16:26:01,1,1,b439c3ef4028c8954726085ba5cc78fd.jpg,5.6,800,250,16:26:01
+1.0,2012-03-20,2012-03-20 12:32:46,0,3,50d6e8548b36f0d501c721ac44a20c8c.jpg,5.6,800,400,12:32:46
+1.0,2012-03-08,2012-03-08 12:12:27,0,3,f617af8885e146a4b3cc370caea815c2.jpg,5.6,800,400,12:12:27
+1.0,2013-02-20,2013-02-20 12:04:42,1,1,22185c1a36495e4d1ff235b1d17c476d.jpg,5.6,800,200,12:04:42
+1.0,2012-02-23,2012-02-23 14:55:39,0,3,c0573d489fece1919a1f81c304dacd9d.jpg,5.6,800,400,14:55:39
+1.0,2013-02-19,2013-02-19 16:14:27,1,1,b79506b3999560e7dfde9a41036581e5.jpg,5.6,800,320,16:14:27
+1.0,2013-01-28,2013-01-28 12:36:14,1,1,ae35d067f41e3baa1360b57f9fe896f0.jpg,5.6,800,100,12:36:14
+1.0,2012-02-23,2012-02-23 14:55:15,0,3,a72d6e385650384791cc4db83d8a1024.jpg,5.6,800,400,14:55:15
+1.0,2012-03-20,2012-03-20 12:33:53,0,3,0e8638088ba1140bbfca33d1977cf7b8.jpg,5.6,800,400,12:33:53
+1.0,2012-03-20,2012-03-20 15:24:30,0,3,472ad91e1d627d54d9ebc510f06cf5d7.jpg,5.6,800,400,15:24:30
+1.0,2012-04-03,2012-04-03 09:37:51,0,3,f061e4879b0cf73ad6898a5910f8c87c.jpg,5.6,800,400,09:37:51
+1.0,2012-04-03,2012-04-03 09:37:00,0,3,b90bbe5f4f4451197dd7217bcca1a681.jpg,5.6,800,400,09:37:00
+1.0,2013-01-29,2013-01-29 16:23:56,1,1,605f30a66400cd6000cf57d985f512d2.jpg,5.6,800,640,16:23:56
+1.0,2013-02-19,2013-02-19 16:17:44,1,1,96c73eda3bf04d997c8996c130c002a9.jpg,5.6,800,320,16:17:44
+1.0,2013-02-26,2013-02-26 12:14:00,1,1,3c2c77268944e423a3c76912e6fe229b.jpg,5.6,800,200,12:14:00
+1.0,2012-04-03,2012-04-03 11:06:19,0,3,0c12651bff74def71f561e62054a3f96.jpg,5.6,800,400,11:06:19
+1.0,2012-03-22,2012-03-22 11:06:42,0,3,4c9b61f055eb9d00f714b84e3550969d.jpg,5.6,800,400,11:06:42
+1.0,2013-02-13,2013-02-13 11:59:48,1,1,04ed713ebf2c4b58d7a1cb2ec90a1e31.jpg,5.6,800,100,11:59:48
+1.0,2013-01-29,2013-01-29 16:32:37,1,1,976684f3cd45eeb3f1b1f223c2897eb2.jpg,5.6,800,320,16:32:37
+1.0,2013-01-29,2013-01-29 16:24:07,1,1,c66834e40c18c82ead5e66fa966e3001.jpg,5.6,800,500,16:24:07
+1.0,2012-04-03,2012-04-03 11:11:08,0,3,f61f936b103a3ce6c0ec54bf40921d6b.jpg,5.6,800,400,11:11:08
+1.0,2013-02-19,2013-02-19 16:25:00,1,1,a6beaaf6eb1c7c10f6119f7441eb9943.jpg,5.6,800,320,16:25:00
+1.0,2012-03-08,2012-03-08 12:10:04,0,3,d5101ac142ea26f7561f65e510208d67.jpg,5.6,800,400,12:10:04
+1.0,2013-01-29,2013-01-29 12:10:57,1,1,155e51d2d1ab1028cc49f54276f63a40.jpg,5.6,800,100,12:10:57
+1.0,2013-01-29,2013-01-29 16:24:35,1,1,d76aff6022f0fce502c9c9a2796dd890.jpg,5.6,800,500,16:24:35
+1.0,2012-03-20,2012-03-20 12:35:03,0,3,cfdf050ad40404d415eb771835826445.jpg,5.6,800,400,12:35:03
+1.0,2012-03-20,2012-03-20 09:40:26,0,3,bbfc7cb1c228dc2438d973b9d086de13.jpg,5.6,800,400,09:40:26
+1.0,2012-03-22,2012-03-22 11:04:52,0,3,b45324c76657b7f171c7b1393241d6f7.jpg,5.6,800,400,11:04:52
+1.0,2012-04-03,2012-04-03 09:42:26,0,3,38486bc8ecff36d84b450683fda66214.jpg,5.6,800,400,09:42:26
+1.0,2013-01-29,2013-01-29 12:34:27,1,1,a51e7ac8404b44a6bf8ca6165488b2a9.jpg,5.6,800,100,12:34:27
+1.0,2013-01-29,2013-01-29 16:24:02,1,1,4828ba9736e84dbfadb51b880517d5c3.jpg,5.6,800,500,16:24:02
+1.0,2013-01-29,2013-01-29 16:22:13,1,1,f3c9eaf3c1a1cd80610efedc500077ba.jpg,5.6,800,250,16:22:13
+1.0,2012-03-20,2012-03-20 09:41:31,0,3,641411632498db2dfba003d2711c1ae4.jpg,5.6,800,400,09:41:31
+1.0,2013-01-28,2013-01-28 12:38:36,1,1,b6ba24c3324a13571d00a34aea3fc6a8.jpg,5.6,800,100,12:38:36
+1.0,2013-02-13,2013-02-13 12:46:06,1,1,d6d168f31a9634a400df4282f3f00d39.jpg,5.6,800,100,12:46:06
+1.0,2013-02-20,2013-02-20 12:39:48,1,1,85e7ee1100645d730dd749be991b5f98.jpg,5.6,800,100,12:39:48
+1.0,2012-03-06,2012-03-06 13:29:18,0,3,cee1e371ef6f5caae702a8e9f41b0a47.jpg,5.6,800,400,13:29:18
+1.0,2013-01-28,2013-01-28 12:38:15,1,1,82cd2a762af09c38713b0f8d8c8a3e7b.jpg,5.6,800,100,12:38:15
+1.0,2012-03-20,2012-03-20 12:32:23,0,3,2afb482fc888bae8b0c133c96f76566d.jpg,5.6,800,400,12:32:23
+1.0,2013-01-29,2013-01-29 16:26:47,1,1,b4acca3f73e440331904be0e9479cd04.jpg,5.6,800,500,16:26:47
+1.0,2013-02-26,2013-02-26 12:08:29,1,1,3ecc6c3c481b32d86a109f7dd970ddf3.jpg,5.6,800,200,12:08:29
+1.0,2012-04-03,2012-04-03 11:08:45,0,3,db512c4fefc655051780adaffa05c50f.jpg,5.6,800,400,11:08:45
+1.0,2013-02-19,2013-02-19 16:14:39,1,1,0e3992b6dc8956bc0fb8d18b11fb1de2.jpg,5.6,800,320,16:14:39
+1.0,2012-04-03,2012-04-03 09:45:03,0,3,f1359ef3cde0b52ec362770785fc3f55.jpg,5.6,800,400,09:45:03
+1.0,2012-03-20,2012-03-20 12:30:40,0,3,55fc285a91da431fd6771c37907c7d92.jpg,5.6,800,400,12:30:40
+1.0,2013-02-13,2013-02-13 13:24:01,1,1,3fae695c8f07106f6cf8c626ca2e7cba.jpg,5.6,800,100,13:24:01
+1.0,2013-01-29,2013-01-29 12:09:55,1,1,d234298c69c8e6861222af854d4bd6a1.jpg,5.6,800,100,12:09:55
+1.0,2012-04-03,2012-04-03 11:09:26,0,3,e80be9cf2be1a716bee655d0f2511da3.jpg,5.6,800,400,11:09:26
+1.0,2012-04-03,2012-04-03 12:27:20,0,3,331f661a23102ca439405347bf4f7bd6.jpg,5.6,800,400,12:27:20
+1.0,2013-02-19,2013-02-19 16:22:15,1,1,e83ab6365091502ddb7064537ed077c4.jpg,5.6,800,320,16:22:15
+1.0,2012-03-13,2012-03-13 11:11:26,0,3,d7edf6a56c480b1bd3951c334e40c571.jpg,5.6,800,400,11:11:26
+1.0,2012-03-20,2012-03-20 13:57:50,0,3,a21a7b41cb49cba423382111809ff1db.jpg,5.6,800,400,13:57:50
+1.0,2012-03-22,2012-03-22 11:07:04,0,3,26e838579f3892bc926935a6b61450d2.jpg,5.6,800,400,11:07:04
+1.0,2013-01-29,2013-01-29 16:30:39,1,1,5e9010981ffb3f5e5ec103b96c15f376.jpg,5.6,800,500,16:30:39
+1.0,2013-01-28,2013-01-28 12:38:09,1,1,8e358e945418b0f75ca87528ceb98825.jpg,5.6,800,100,12:38:09
+1.0,2013-01-29,2013-01-29 12:16:07,1,1,2929b2594e37bcca2780e4c6efca9d9a.jpg,5.6,800,100,12:16:07
+1.0,2013-01-29,2013-01-29 12:16:30,1,1,086f174ffa57afb5cd3d6d58ca05f2da.jpg,5.6,800,100,12:16:30
+1.0,2013-02-26,2013-02-26 12:11:32,1,1,b1fa9f29b39e201b13fad45a762ae737.jpg,5.6,800,160,12:11:32
+1.0,2013-01-28,2013-01-28 12:40:25,1,1,b224be0f582e34d02fcce6290fbee443.jpg,5.6,800,100,12:40:25
+1.0,2012-04-03,2012-04-03 11:08:22,0,3,c304e7dcbe131f633280c853b23746bd.jpg,5.6,800,400,11:08:22
+1.0,2012-02-23,2012-02-23 14:56:53,0,3,0d451e593c2aaf78998b16eecfd6406f.jpg,5.6,800,400,14:56:53
+1.0,2013-01-29,2013-01-29 12:14:24,1,1,f57f00b2ce78406d57a41851f5bff536.jpg,5.6,800,100,12:14:24
+1.0,2013-02-26,2013-02-26 12:12:32,1,1,4e1ca9a2ed276896214e5ae699208b09.jpg,5.6,800,160,12:12:32
+1.0,2013-02-20,2013-02-20 12:44:13,1,1,4e61ffab43ea00e678a8d7f354368b28.jpg,5.6,800,100,12:44:13
+1.0,2013-01-29,2013-01-29 12:07:41,1,1,9f288f0ee218e8a05c502bcb2fe481a7.jpg,5.6,800,100,12:07:41
+1.0,2012-04-03,2012-04-03 12:35:40,0,3,5e332bac3e8cb28580c75105764ed1bc.jpg,5.6,800,400,12:35:40
+1.0,2013-02-19,2013-02-19 16:34:06,1,1,2afcfa7c900802f7cb7abbb735de0a10.jpg,5.6,800,400,16:34:06
+1.0,2013-01-29,2013-01-29 16:32:22,1,1,d5efa3d82008c044ec58ffd24caa7f96.jpg,5.6,800,500,16:32:22
+1.0,2012-03-20,2012-03-20 13:58:01,0,3,ee2ee4bb3921863e89a28158ab345b00.jpg,5.6,800,400,13:58:01
+1.0,2012-04-03,2012-04-03 09:39:49,0,3,8541c6a46c4ec827e2d34230d21c1a25.jpg,5.6,800,400,09:39:49
+1.0,2013-02-19,2013-02-19 16:29:42,1,1,0063bedf8fac654abf9b36e8d372d9c4.jpg,5.6,800,320,16:29:42
+1.0,2013-01-29,2013-01-29 16:25:25,1,1,d6e284d26baf1c087d15873a3952731d.jpg,5.6,800,320,16:25:25
+1.0,2013-01-28,2013-01-28 12:42:21,1,1,37ea850f1c8a348557f3e402f15b77ae.jpg,5.6,800,100,12:42:21
+1.0,2012-03-22,2012-03-22 13:58:36,0,3,d789e43b8a83194cc4939b6e7a3f45fe.jpg,5.6,800,400,13:58:36
+1.0,2012-03-08,2012-03-08 10:45:23,0,3,2c22e65d07f6844f6cd8c3459d51617c.jpg,5.6,800,400,10:45:23
+1.0,2013-02-20,2013-02-20 12:09:04,1,1,d2693e73492f3490f844eff8b609fbec.jpg,5.6,800,200,12:09:04
+1.0,2013-02-20,2013-02-20 12:04:08,1,1,78268eb08931ff54fa8aa938af069bf2.jpg,5.6,800,160,12:04:08
+1.0,2012-03-20,2012-03-20 11:07:49,0,3,874f9f3f72d18d1e185371ac6c4041a0.jpg,5.6,800,400,11:07:49
+1.0,2012-03-20,2012-03-20 12:34:17,0,3,7cd258f86e63cf8dbc9269d1efcb8b64.jpg,5.6,800,400,12:34:17
+1.0,2012-04-03,2012-04-03 11:12:11,0,3,751414fe9d146eb75f73ecbcd928b71d.jpg,5.6,800,400,11:12:11
+1.0,2013-02-20,2013-02-20 12:24:27,1,1,9f8c180ec24822f6d5809c513192bb84.jpg,5.6,800,100,12:24:27
+1.0,2012-03-20,2012-03-20 12:35:00,0,3,61e698c734e86586a0c16038bdf7f5ca.jpg,5.6,800,400,12:35:00
+1.0,2012-03-20,2012-03-20 09:41:29,0,3,a2e19b1645318303d82d60cebe0833fe.jpg,5.6,800,400,09:41:29
+1.0,2012-03-08,2012-03-08 12:10:03,0,3,f5dcb8d8cb9acdbfea9122e357480932.jpg,5.6,800,400,12:10:03
+1.0,2012-04-03,2012-04-03 12:30:54,0,3,28b65ae56b317bf9c5e5d46c1177a5c4.jpg,5.6,800,400,12:30:54
+1.0,2012-03-22,2012-03-22 11:11:32,0,3,878b1b0530d5147ea2464408c46c403d.jpg,5.6,800,400,11:11:32
+1.0,2013-01-29,2013-01-29 16:25:39,1,1,3e6ba9aebb8fe0ab3b27c7f4ba52b7ca.jpg,5.6,800,250,16:25:39
+1.0,2012-03-20,2012-03-20 09:42:03,0,3,f71b667e5fba0e66d5da29ff84b91004.jpg,5.6,800,400,09:42:03
+1.0,2012-04-03,2012-04-03 09:37:21,0,3,63dc5c5fa81607f981c390f1f1cc58bd.jpg,5.6,800,400,09:37:21
+1.0,2012-03-20,2012-03-20 12:32:19,0,3,91dc0c88e3cfa6c5f4f402bb6aa08c3c.jpg,5.6,800,400,12:32:19
+1.0,2013-02-19,2013-02-19 16:14:37,1,1,512bc9c9cd4d8910f4dbf61a11ed1bf8.jpg,5.6,800,320,16:14:37
+1.0,2013-01-29,2013-01-29 12:16:27,1,1,16f44bcfc4b0e334a85a48b3446fbfcc.jpg,5.6,800,100,12:16:27
+1.0,2012-04-03,2012-04-03 11:05:42,0,3,baccda9f6b73a5fc8a12916b9364e88c.jpg,5.6,800,400,11:05:42
+1.0,2012-03-13,2012-03-13 11:11:03,0,3,12919305ce53d7e85aa0dfc72eda769e.jpg,5.6,800,400,11:11:03
+1.0,2013-01-28,2013-01-28 12:34:42,1,1,88f146aa0f6c28c7fc3ae909c046f7ae.jpg,5.6,800,100,12:34:42
+1.0,2012-03-20,2012-03-20 15:22:56,0,3,1d9b9734b88a49edd9fbb3dd0ce19d3c.jpg,5.6,800,400,15:22:56
+1.0,2012-03-20,2012-03-20 12:34:29,0,3,9a0eeec5accdc9d9f61a6644f77e66a7.jpg,5.6,800,400,12:34:29
+1.0,2012-03-22,2012-03-22 11:08:39,0,3,da26db2b50a313606b246781347d5ccd.jpg,5.6,800,400,11:08:39
+1.0,2013-02-13,2013-02-13 12:17:33,1,1,a718e2e969cce20eb1a0946064ea8948.jpg,5.6,800,100,12:17:33
+1.0,2012-04-03,2012-04-03 09:40:58,0,3,4a9914077a2d000dc115569a8dc28eab.jpg,5.6,800,400,09:40:58
+1.0,2012-03-20,2012-03-20 15:23:36,0,3,1edaa5f7fa4555b960145c21df2a6358.jpg,5.6,800,400,15:23:36
+1.0,2012-03-20,2012-03-20 15:24:15,0,3,4788dd819f5c76eff10ec76c749076d6.jpg,5.6,800,400,15:24:15
+1.0,2012-03-08,2012-03-08 10:46:26,0,3,3f5889c633e24539774e98eb40aa07c8.jpg,5.6,800,400,10:46:26
+1.0,2013-02-20,2013-02-20 12:10:24,1,1,668b9a95cd556f21f0cb43b4a3fd9977.jpg,5.6,800,160,12:10:24
+1.0,2013-02-20,2013-02-20 12:23:59,1,1,f573c77601eed5c6b8ac33cc19836758.jpg,5.6,800,100,12:23:59
+1.0,2013-01-29,2013-01-29 16:30:51,1,1,ff7d614b3360df30ca5934a476ddaa9e.jpg,5.6,800,400,16:30:51
+1.0,2013-02-19,2013-02-19 16:33:42,1,1,759ea7e6032d0b9559035c26133a685a.jpg,5.6,800,320,16:33:42
+1.0,2013-01-29,2013-01-29 12:34:05,1,1,52689600877cffbdabcdead5ce7c19fd.jpg,5.6,800,100,12:34:05
+1.0,2013-02-19,2013-02-19 16:34:11,1,1,d8d725b51d9ef6b2e3359fd791f698ba.jpg,5.6,800,400,16:34:11
+1.0,2012-03-22,2012-03-22 11:07:05,0,3,f5d684d321cc38028fe9b557155b5707.jpg,5.6,800,400,11:07:05
+1.0,2013-02-20,2013-02-20 12:14:14,1,1,3b651d1026d31e99fc15efade325f3cd.jpg,5.6,800,125,12:14:14
+1.0,2012-03-20,2012-03-20 13:55:47,0,3,aac73a199a8363c97408df75ac9d6652.jpg,5.6,800,400,13:55:47
+1.0,2013-01-29,2013-01-29 12:10:48,1,1,b96030b16645fcb1b5bd2f8affa9feb4.jpg,5.6,800,100,12:10:48
+1.0,2012-03-13,2012-03-13 11:09:09,0,3,4bd06fc623d9eb30ee62ded9aa3c9281.jpg,5.6,800,400,11:09:09
+1.0,2013-01-28,2013-01-28 12:38:19,1,1,50c7dd77b2c59d2ed2d26f9a0a856f2d.jpg,5.6,800,100,12:38:19
+1.0,2013-01-29,2013-01-29 16:29:15,1,1,ac015380fdfb3910964460bcfd50bfae.jpg,5.6,800,250,16:29:15
+1.0,2012-02-23,2012-02-23 14:54:38,0,3,b856ced8c05aa69f3e595d680e309bce.jpg,5.6,800,400,14:54:38
+1.0,2013-01-29,2013-01-29 16:34:53,1,1,4fd84cd4e160817d3deb0c72d5436c60.jpg,5.6,800,800,16:34:53
+1.0,2012-04-03,2012-04-03 11:08:13,0,3,e92f1aff5f1a59d357070156ee9521fb.jpg,5.6,800,400,11:08:13
+1.0,2012-03-20,2012-03-20 12:29:36,0,3,9670d8d548052c18f432a99f519bb6bc.jpg,5.6,800,400,12:29:36
+1.0,2012-03-13,2012-03-13 11:10:37,0,3,2362688b9568f47ff038a719994226f7.jpg,5.6,800,400,11:10:37
+1.0,2013-02-20,2013-02-20 12:06:22,1,1,acd1bf0537915a2dc5bac5ace301b733.jpg,5.6,800,250,12:06:22
+1.0,2013-01-28,2013-01-28 12:42:23,1,1,18c1b0c4ceef859f11377430bad4235f.jpg,5.6,800,100,12:42:23
+1.0,2013-01-29,2013-01-29 12:07:46,1,1,3d82f839c9939cf3c5f902efd016b17c.jpg,5.6,800,100,12:07:46
+1.0,2012-04-03,2012-04-03 11:07:45,0,3,f3aba68c100116a0c3c1642dfb2d0673.jpg,5.6,800,400,11:07:45
+1.0,2012-03-22,2012-03-22 11:07:33,0,3,2eeaa8d1bbc4509b339893078c0d42d5.jpg,5.6,800,400,11:07:33
+1.0,2013-02-19,2013-02-19 16:14:50,1,1,467d000cd6458b88b666861fa9ae8483.jpg,5.6,800,320,16:14:50
+1.0,2013-01-29,2013-01-29 12:10:46,1,1,9dfdc5fca72a61b389e79173bdb2b45d.jpg,5.6,800,100,12:10:46
+1.0,2013-02-20,2013-02-20 12:25:15,1,1,9fe072fa184b471fcd0d66ee7a043d06.jpg,5.6,800,100,12:25:15
+1.0,2012-04-03,2012-04-03 09:41:02,0,3,7bf84c344b0552e854fadbbcb2e7d1d2.jpg,5.6,800,400,09:41:02
+1.0,2013-01-29,2013-01-29 12:17:08,1,1,46d539c535731e8f1bfd505b986e0443.jpg,5.6,800,100,12:17:08
+1.0,2013-02-19,2013-02-19 16:23:34,1,1,dab02046865ca4ee91287030d6ada00c.jpg,5.6,800,320,16:23:34
+1.0,2012-03-20,2012-03-20 09:41:16,0,3,f66d79b90bc34d2a12bf4bc960fdb6b8.jpg,5.6,800,400,09:41:16
+1.0,2013-02-20,2013-02-20 12:13:59,1,1,5f2031ceed8ce342411bbb622522f847.jpg,5.6,800,160,12:13:59
+1.0,2012-03-20,2012-03-20 12:28:36,0,3,a81808e5ea78079f04db455cee588e8a.jpg,5.6,800,400,12:28:36
+1.0,2013-01-29,2013-01-29 12:07:33,1,1,184f9f7ad0bb812e7262d2b23c38b45a.jpg,5.6,800,100,12:07:33
+1.0,2013-02-13,2013-02-13 13:15:47,1,1,d2385d63866c60c0435d933242541644.jpg,5.6,800,100,13:15:47
+1.0,2013-01-29,2013-01-29 16:27:30,1,1,af908b5e62ffda2e5e7ea521fa98932c.jpg,5.6,800,250,16:27:30
+1.0,2013-01-28,2013-01-28 12:34:02,1,1,7866ed48409f91c4691432911a64480a.jpg,5.6,800,100,12:34:02
+1.0,2013-01-28,2013-01-28 12:33:31,1,1,a3e36758e753a7bc4a66b23bb05eda24.jpg,5.6,800,100,12:33:31
+1.0,2012-03-22,2012-03-22 11:11:02,0,3,6de84006a1e49b7e293f3f446814cdfc.jpg,5.6,800,400,11:11:02
+1.0,2012-03-20,2012-03-20 11:05:50,0,3,75803f31fd44a8052665e4c41476f0aa.jpg,5.6,800,400,11:05:50
+1.0,2013-01-29,2013-01-29 16:33:41,1,1,db07acf0ca5a23336ebcb31ec8a15663.jpg,5.6,800,640,16:33:41
+1.0,2012-04-03,2012-04-03 09:41:05,0,3,0965f19dc0d709f8c678bc7e01144f10.jpg,5.6,800,400,09:41:05
+1.0,2012-03-20,2012-03-20 12:29:12,0,3,a71b7fc8d9766f2e4cfeacf1217993b1.jpg,5.6,800,400,12:29:12
+1.0,2012-03-08,2012-03-08 10:46:06,0,3,655df24039f79b1cf1e0d68b5797de55.jpg,5.6,800,400,10:46:06
+1.0,2013-01-29,2013-01-29 16:30:31,1,1,b4dcf79e38188939180814b2ef4b3a83.jpg,5.6,800,320,16:30:31
+1.0,2013-02-13,2013-02-13 13:06:48,1,1,d3c1c8ed7d68cd54fa2cec05c49e6fd5.jpg,5.6,800,100,13:06:48
+1.0,2013-02-19,2013-02-19 16:33:40,1,1,4d82228f26c950a601724beab5b71479.jpg,5.6,800,320,16:33:40
+1.0,2012-03-08,2012-03-08 10:46:30,0,3,e94b2c97bef1d6ff6bfc1b8686ed242b.jpg,5.6,800,400,10:46:30
+1.0,2012-04-03,2012-04-03 11:06:19,0,3,20feba6aaefbf8a4269587c584e775dc.jpg,5.6,800,400,11:06:19
+1.0,2012-03-20,2012-03-20 11:04:22,0,3,f4e27c6f46c449fe9e3973a6540f8fe8.jpg,5.6,800,400,11:04:22
+1.0,2013-01-29,2013-01-29 12:15:47,1,1,fcc781b19036b815207532ce8390c1ad.jpg,5.6,800,100,12:15:47
+1.0,2012-04-03,2012-04-03 11:04:45,0,3,dc38e97615c212e6c00c770a77d4aace.jpg,5.6,800,400,11:04:45
+1.0,2013-02-19,2013-02-19 16:34:39,1,1,2be7521a3fba8290ef002dc2f4dafae3.jpg,5.6,800,320,16:34:39
+1.0,2013-02-20,2013-02-20 12:13:19,1,1,7a4fa6a5a4278de92090963cea308e18.jpg,5.6,800,200,12:13:19
+1.0,2013-02-20,2013-02-20 12:04:14,1,1,fcbb1cb33120a4003abc14cb7d3aad37.jpg,5.6,800,200,12:04:14
+1.0,2012-04-03,2012-04-03 12:32:14,0,3,3efc7bc6edb5103a26ceab5512ebce72.jpg,5.6,800,400,12:32:14
+1.0,2013-02-20,2013-02-20 12:06:28,1,1,af194dcfbba8eadd04ea505116802144.jpg,5.6,800,200,12:06:28
+1.0,2013-01-29,2013-01-29 16:22:48,1,1,ad170bc8f6ff86c16fa84d182f68af74.jpg,5.6,800,320,16:22:48
+1.0,2013-01-28,2013-01-28 12:38:33,1,1,c2634635d00f4b8cf5eda7750fa15c55.jpg,5.6,800,100,12:38:33
+1.0,2012-03-20,2012-03-20 15:24:17,0,3,d730694a41e924c3cbb2e86c7a1165cc.jpg,5.6,800,400,15:24:17
+1.0,2012-03-08,2012-03-08 14:53:58,0,3,36f4c0d45031d8fa82571295a218587f.jpg,5.6,800,400,14:53:58
+1.0,2013-01-29,2013-01-29 12:30:58,1,1,908e6055f173d8dc5438b401b71873eb.jpg,5.6,800,100,12:30:58
+1.0,2013-02-19,2013-02-19 16:34:22,1,1,012e205ec0e11287af53fe280d0ac608.jpg,5.6,800,320,16:34:22
+1.0,2013-02-19,2013-02-19 16:22:17,1,1,b88390686fddb278b5370f10eba7e387.jpg,5.6,800,320,16:22:17
+1.0,2013-02-19,2013-02-19 16:34:33,1,1,ff668b9079139501a0bd127d83c6e85b.jpg,5.6,800,320,16:34:33
+1.0,2012-04-03,2012-04-03 12:34:19,0,3,55f3838e0f6dbd27a9616e4264989130.jpg,5.6,800,400,12:34:19
+1.0,2013-01-29,2013-01-29 12:19:13,1,1,18cc6dd6af3d9a1e501b4d5350b6db6b.jpg,5.6,800,100,12:19:13
+1.0,2013-01-28,2013-01-28 12:36:13,1,1,e5674245275ebc2169ca726818686a5b.jpg,5.6,800,100,12:36:13
+1.0,2012-03-22,2012-03-22 11:06:30,0,3,6fc600c8ced2f651f0f2f39effd3f7ef.jpg,5.6,800,400,11:06:30
+1.0,2013-01-29,2013-01-29 12:10:56,1,1,e541879c7f641cfb210b6d35096fa71d.jpg,5.6,800,100,12:10:56
+1.0,2013-01-28,2013-01-28 12:39:08,1,1,ccba31e8370da14aa14f31ebd90e58e8.jpg,5.6,800,100,12:39:08
+1.0,2013-01-28,2013-01-28 12:34:00,1,1,d4b1cf1b59e84e3ac80d86b13da8b070.jpg,5.6,800,100,12:34:00
+1.0,2012-02-23,2012-02-23 14:56:10,0,3,e1eaea8d49077b745108eb081c38014c.jpg,5.6,800,400,14:56:10
+1.0,2013-02-19,2013-02-19 16:25:34,1,1,4271962ecdfc83464b0b27c243826227.jpg,5.6,800,320,16:25:34
+1.0,2012-03-20,2012-03-20 13:55:59,0,3,23a26d42eaf53da0ad2b52373ae7d78c.jpg,5.6,800,400,13:55:59
+1.0,2012-03-20,2012-03-20 15:22:58,0,3,35340ca429acf8aa176051e55526bcdc.jpg,5.6,800,400,15:22:58
+1.0,2013-02-19,2013-02-19 16:29:07,1,1,c86abbb1bb6d3d3ced0d339028ad936a.jpg,5.6,800,320,16:29:07
+1.0,2013-02-13,2013-02-13 12:34:15,1,1,6eadddcfa9256684ef35bf1c8e9fcd08.jpg,5.6,800,100,12:34:15
+1.0,2013-01-28,2013-01-28 12:36:06,1,1,c911bc4f26c70f6f19365d704109a47e.jpg,5.6,800,100,12:36:06
+1.0,2013-01-29,2013-01-29 12:20:43,1,1,eddf119c1524fbf79d44a088f78138c0.jpg,5.6,800,100,12:20:43
+1.0,2012-04-03,2012-04-03 11:12:40,0,3,d6b2d15d07d777efbc9300756bfb6aff.jpg,5.6,800,400,11:12:40
+1.0,2012-04-03,2012-04-03 11:06:21,0,3,9f73f2d48b30b04c7625b47858264218.jpg,5.6,800,400,11:06:21
+1.0,2013-02-19,2013-02-19 16:24:51,1,1,e353a9d1ccdc6c0da656880caa939f65.jpg,5.6,800,400,16:24:51
+1.0,2013-02-13,2013-02-13 12:17:13,1,1,2c84afb7acb76f4cf4d4f3d50ef732a0.jpg,5.6,800,100,12:17:13
+1.0,2012-04-03,2012-04-03 09:44:19,0,3,dca1c60c2c9cca8e0c52925363ce5034.jpg,5.6,800,400,09:44:19
+1.0,2013-01-29,2013-01-29 12:13:40,1,1,671178632b0ecce30c0d38228c3653e2.jpg,5.6,800,100,12:13:40
+1.0,2013-02-26,2013-02-26 12:10:34,1,1,9d05f5971ebd6c3fcca3d1397b5bb36e.jpg,5.6,800,200,12:10:34
+1.0,2013-01-28,2013-01-28 12:42:27,1,1,d89133fa715cf5cf3fc9bad54cbdda65.jpg,5.6,800,100,12:42:27
+1.0,2013-01-29,2013-01-29 12:11:52,1,1,ada9a651ef9654fcc81fa8c53f6ff3f4.jpg,5.6,800,100,12:11:52
+1.0,2013-02-13,2013-02-13 13:17:24,1,1,6376acb358901f05b0b4167e48b647aa.jpg,5.6,800,100,13:17:24
+1.0,2013-02-19,2013-02-19 16:18:54,1,1,30d5437e043ca63b44538a99f0c99b18.jpg,5.6,800,320,16:18:54
+1.0,2013-01-28,2013-01-28 12:38:19,1,1,69e063c408022f074901d41191411f39.jpg,5.6,800,100,12:38:19
+1.0,2012-03-20,2012-03-20 12:31:58,0,3,dc4190f78624ea7ee116c7ee029e64b3.jpg,5.6,800,400,12:31:58
+1.0,2012-04-03,2012-04-03 09:35:00,0,3,f2999e5b0443c171484f8636dfad7e00.jpg,5.6,800,400,09:35:00
+1.0,2013-01-29,2013-01-29 16:25:59,1,1,383d34aa6643696cce5ef025e5f0b9cb.jpg,5.6,800,320,16:25:59
+1.0,2013-01-29,2013-01-29 12:31:01,1,1,c78d53185de0a034ef2b30b162b9a1c3.jpg,5.6,800,100,12:31:01
+1.0,2013-02-19,2013-02-19 16:14:24,1,1,e48ffadda7734fd9291303b3419853b4.jpg,5.6,800,400,16:14:24
+1.0,2012-03-20,2012-03-20 09:42:03,0,3,efaf2acce182544bb1aa5c59724d6b8e.jpg,5.6,800,400,09:42:03
+1.0,2012-04-03,2012-04-03 09:36:35,0,3,325bcbd07514f60fab169dd2c0109c2c.jpg,5.6,800,400,09:36:35
+1.0,2013-01-29,2013-01-29 12:33:31,1,1,f964640bdfd8a864cc2badb771d02486.jpg,5.6,800,100,12:33:31
+1.0,2012-04-03,2012-04-03 09:36:26,0,3,e38dccbd4733c8c140bf864d582a6169.jpg,5.6,800,400,09:36:26
+1.0,2013-01-29,2013-01-29 16:30:36,1,1,c45054ccbb1c2affd052f80b3cb0d156.jpg,5.6,800,800,16:30:36
+1.0,2012-03-20,2012-03-20 12:34:39,0,3,9d6b0df28ca145b0b072696f69d17072.jpg,5.6,800,400,12:34:39
+1.0,2013-01-28,2013-01-28 12:41:41,1,1,1cf1108dce039cc01bd000b2b413cf40.jpg,5.6,800,100,12:41:41
+1.0,2013-02-26,2013-02-26 12:21:19,1,1,38d3eff3980ec9b2986c8180a1f21ae0.jpg,5.6,800,200,12:21:19
+1.0,2013-02-19,2013-02-19 16:32:26,1,1,b444160b7bb18b5a3d383c53e035aa7f.jpg,5.6,800,320,16:32:26
+1.0,2012-03-20,2012-03-20 12:30:37,0,3,a264d8ec2705159477de8eaafc5923b8.jpg,5.6,800,400,12:30:37
+1.0,2013-02-13,2013-02-13 13:27:28,1,1,924292ae4d035879a7f286a1b2aaf250.jpg,5.6,800,125,13:27:28
+1.0,2012-03-20,2012-03-20 09:42:25,0,3,e0b3144970df50c0546556b522bf4d2b.jpg,5.6,800,400,09:42:25
+1.0,2013-02-20,2013-02-20 12:14:11,1,1,9817bd8b934910d1854ebf018a776576.jpg,5.6,800,125,12:14:11
+1.0,2012-03-20,2012-03-20 11:08:44,0,3,c083023d3441de5c5bdac8f73e860b62.jpg,5.6,800,400,11:08:44
+1.0,2012-03-20,2012-03-20 11:09:23,0,3,62217fb9f767f42efe0b8790cd4b4803.jpg,5.6,800,400,11:09:23
+1.0,2012-04-03,2012-04-03 09:42:24,0,3,92e415871463a1587fd42e715f375db8.jpg,5.6,800,400,09:42:24
+1.0,2013-01-29,2013-01-29 12:17:06,1,1,b0de78e98b34c7fa2f758fde41a8c3f1.jpg,5.6,800,100,12:17:06
+1.0,2013-01-28,2013-01-28 12:38:25,1,1,377436736c0bcea8bfe07fdd62154a4a.jpg,5.6,800,100,12:38:25
+1.0,2013-02-13,2013-02-13 12:48:47,1,1,378e6f6e4c8aac70b45637380cc67014.jpg,5.6,800,100,12:48:47
+1.0,2012-03-08,2012-03-08 10:48:21,0,3,2be30032684ddc80c86757068ee9bcfb.jpg,5.6,800,400,10:48:21
+1.0,2013-02-20,2013-02-20 12:25:18,1,1,16f7a7b547fc8caf06d090a4de44e4c7.jpg,5.6,800,100,12:25:18
+1.0,2013-02-26,2013-02-26 12:10:52,1,1,c0059b21ae399a6ea844bd578e746723.jpg,5.6,800,160,12:10:52
+1.0,2012-04-03,2012-04-03 09:44:34,0,3,3c79bc5c15a9efb204af575bf90f212a.jpg,5.6,800,400,09:44:34
+1.0,2012-03-20,2012-03-20 13:55:58,0,3,0a2274338920de6dce83f6d8447a4b3a.jpg,5.6,800,400,13:55:58
+1.0,2012-03-20,2012-03-20 12:33:33,0,3,2c84be82fea7e9fdea04a036efc53b4b.jpg,5.6,800,400,12:33:33
+1.0,2012-04-03,2012-04-03 09:43:57,0,3,7ea1961053136aeadad5632b917f3ddd.jpg,5.6,800,400,09:43:57
+1.0,2012-03-22,2012-03-22 11:09:43,0,3,490ed3a711ac211e435872057a5cd82a.jpg,5.6,800,400,11:09:43
+1.0,2012-04-03,2012-04-03 11:11:10,0,3,c87da9b1f5e95a8623537961af523f43.jpg,5.6,800,400,11:11:10
+1.0,2012-04-03,2012-04-03 09:44:53,0,3,fceef36ae3db692208e92943f7533df2.jpg,5.6,800,400,09:44:53
+1.0,2013-02-13,2013-02-13 13:14:25,1,1,ec9974b9a1f702b927965fc38c03208b.jpg,5.6,800,100,13:14:25
+1.0,2013-02-19,2013-02-19 16:16:11,1,1,7a83ad9e88f8bab26bda79126ebcac5b.jpg,5.6,800,250,16:16:11
+1.0,2013-02-26,2013-02-26 12:09:49,1,1,c574f7b74f880d283730e61d114c1fb1.jpg,5.6,800,200,12:09:49
+1.0,2012-04-03,2012-04-03 11:09:59,0,3,171629db8796252437c3e8f7d88790cf.jpg,5.6,800,400,11:09:59
+1.0,2013-02-20,2013-02-20 12:22:07,1,1,036909bac15cb66cd08ee15a05d51aae.jpg,5.6,800,100,12:22:07
+1.0,2013-01-28,2013-01-28 12:41:41,1,1,567138a0a344e222666ff634e462ead1.jpg,5.6,800,100,12:41:41
+1.0,2012-03-20,2012-03-20 13:59:22,0,3,d66f9b677139286dcdaa676fe6422fb7.jpg,5.6,800,400,13:59:22
+1.0,2012-03-20,2012-03-20 09:40:58,0,3,4b1f85daa7acfb8625e80dc57fdae483.jpg,5.6,800,400,09:40:58
+1.0,2013-02-19,2013-02-19 16:25:05,1,1,11949146ff6ef309bded40cac97fde8f.jpg,5.6,800,320,16:25:05
+1.0,2012-04-03,2012-04-03 09:44:57,0,3,e2ddd35a2a849504fc04979a2ff6522e.jpg,5.6,800,400,09:44:57
+1.0,2013-02-19,2013-02-19 16:25:33,1,1,e78e27dc63822d7c8a4af8ccaa7bc839.jpg,5.6,800,320,16:25:33
+1.0,2013-01-29,2013-01-29 12:34:01,1,1,e3c7401e40cc3c9ceb21672669fcf42d.jpg,5.6,800,100,12:34:01
+1.0,2012-03-20,2012-03-20 15:24:59,0,3,322668f35386779e4d82a40d6ea2d89f.jpg,5.6,800,400,15:24:59
+1.0,2012-03-20,2012-03-20 12:35:14,0,3,41b8709bc1fd36b12d8861955c02a2ec.jpg,5.6,800,400,12:35:14
+1.0,2012-03-06,2012-03-06 13:30:06,0,3,17cf1705db64663413f953d7eee2a63e.jpg,5.6,800,400,13:30:06
+1.0,2012-03-20,2012-03-20 12:28:41,0,3,2d5260e53e992d5c8f7e732711fc1ecd.jpg,5.6,800,400,12:28:41
+1.0,2013-02-19,2013-02-19 16:21:33,1,1,9cd751ac71f30e46862cb87d634caa28.jpg,5.6,800,320,16:21:33
+1.0,2012-03-20,2012-03-20 15:23:01,0,3,06e258651028aecf29320ee2377a5f28.jpg,5.6,800,400,15:23:01
+1.0,2013-02-19,2013-02-19 16:33:46,1,1,fec8c921a5857329addc67e7a7c919c6.jpg,5.6,800,320,16:33:46
+1.0,2012-04-03,2012-04-03 12:26:56,0,3,a9849376f1c35d1c6f8baeb96c65101f.jpg,5.6,800,400,12:26:56
+1.0,2012-03-20,2012-03-20 11:03:59,0,3,fe88235866dfb192c7bf55c5528cd578.jpg,5.6,800,400,11:03:59
+1.0,2013-01-29,2013-01-29 16:22:17,1,1,ef1b7e39489529721aec25436496ac03.jpg,5.6,800,320,16:22:17
+1.0,2012-03-20,2012-03-20 15:23:25,0,3,a5ea30f18147923d107c04d9cc02f148.jpg,5.6,800,400,15:23:25
+1.0,2012-04-03,2012-04-03 09:38:02,0,3,7d8dc80d4443a47e1a74b9d84dfb830c.jpg,5.6,800,400,09:38:02
+1.0,2013-02-20,2013-02-20 12:12:08,1,1,a94771cced5dd7abaa10ef50b45efc5c.jpg,5.6,800,160,12:12:08
+1.0,2013-01-28,2013-01-28 12:42:28,1,1,3ee84c2304c2ca529db638974a660e6a.jpg,5.6,800,100,12:42:28
+1.0,2013-02-19,2013-02-19 16:18:50,1,1,7bed1dceb90ae4e40f9ab0bdba94a5d5.jpg,5.6,800,400,16:18:50
+1.0,2012-04-03,2012-04-03 11:08:29,0,3,35d75ceaca972c37327117ba6148e2ff.jpg,5.6,800,400,11:08:29
+1.0,2013-01-28,2013-01-28 12:40:01,1,1,84e6aaff5ec9b849c100acc2f6bc5652.jpg,5.6,800,100,12:40:01
+1.0,2013-01-29,2013-01-29 12:16:21,1,1,a8ecc034b27d14f958a6e03ce23aa800.jpg,5.6,800,100,12:16:21
+1.0,2012-03-22,2012-03-22 11:07:01,0,3,323627933739aa3a2f8160a6bbfa63a2.jpg,5.6,800,400,11:07:01
+1.0,2012-03-20,2012-03-20 12:31:43,0,3,72d9f0e75182de41435e5c923d083843.jpg,5.6,800,400,12:31:43
+1.0,2012-03-20,2012-03-20 11:08:47,0,3,94921a63cdff4053cff929b9f660e2aa.jpg,5.6,800,400,11:08:47
+1.0,2012-03-08,2012-03-08 12:10:23,0,3,30fb5fc9d2ecef3d69aed5a27630ec0e.jpg,5.6,800,400,12:10:23
+1.0,2013-02-20,2013-02-20 12:13:16,1,1,73965964c36f1b794c86626f25976738.jpg,5.6,800,160,12:13:16
+1.0,2012-03-08,2012-03-08 12:10:07,0,3,b3af14b231e4850398bcb57bb439bc2d.jpg,5.6,800,400,12:10:07
+1.0,2013-02-20,2013-02-20 12:10:22,1,1,b8cdf4420b62a8b45080c8d6d3725b8d.jpg,5.6,800,200,12:10:22
+1.0,2013-02-13,2013-02-13 13:18:13,1,1,ca260e154686d50758a0638fa231c573.jpg,5.6,800,100,13:18:13
+1.0,2013-02-26,2013-02-26 12:16:16,1,1,580bfd59a2f91e0c069fc22026f5fa04.jpg,5.6,800,200,12:16:16
+1.0,2013-01-28,2013-01-28 12:37:17,1,1,4ca3d24667d11394f39108d7221b5f0b.jpg,5.6,800,100,12:37:17
+1.0,2013-01-28,2013-01-28 12:34:08,1,1,5c2664553c3db4f9d2f7ba4124565e86.jpg,5.6,800,100,12:34:08
+1.0,2013-01-28,2013-01-28 12:37:57,1,1,4ce7b201a4bd88c81b3f4f25a574d976.jpg,5.6,800,100,12:37:57
+1.0,2012-04-03,2012-04-03 11:09:24,0,3,0e6c2474fb7eff2dd6f71321efde55cb.jpg,5.6,800,400,11:09:24
+1.0,2012-03-20,2012-03-20 12:33:51,0,3,91ee57d1fb668375662e3b17e35c6d4d.jpg,5.6,800,400,12:33:51
+1.0,2013-02-20,2013-02-20 12:11:20,1,1,ab998a1e61bbf5db1f9acc89f463bcb1.jpg,5.6,800,160,12:11:20
+1.0,2013-02-19,2013-02-19 16:33:49,1,1,8ba4c6626b2dba98518079252464e11a.jpg,5.6,800,320,16:33:49
+1.0,2013-02-26,2013-02-26 12:31:41,1,1,bb9f7250ed4a4bc67cdb5a98de713cbc.jpg,5.6,800,200,12:31:41
+1.0,2013-01-29,2013-01-29 12:34:01,1,1,0b93531b8f0797f58e7be9c1402bfe01.jpg,5.6,800,100,12:34:01
+1.0,2013-01-28,2013-01-28 12:36:07,1,1,e0058d242db9660b7c8cf5f8e3a63a3f.jpg,5.6,800,100,12:36:07
+1.0,2012-04-03,2012-04-03 11:11:20,0,3,c89c64c62d4d291c58c5497406d72166.jpg,5.6,800,400,11:11:20
+1.0,2013-02-13,2013-02-13 12:13:48,1,1,31f1de8816080841b577cc8743e6e216.jpg,5.6,800,100,12:13:48
+1.0,2013-02-13,2013-02-13 12:53:01,1,1,af96f2d06494b4f3e135a670ff80e1ef.jpg,5.6,800,100,12:53:01
+1.0,2013-02-13,2013-02-13 12:49:40,1,1,6530ac5e7150a6ed4b70e53b85e43881.jpg,5.6,800,100,12:49:40
+1.0,2013-01-28,2013-01-28 12:41:42,1,1,5ca482f20be372e607f3a22941004618.jpg,5.6,800,100,12:41:42
+1.0,2012-04-03,2012-04-03 11:06:20,0,3,5bcafe06ca92ae9ea3a1c6ecb969a2f1.jpg,5.6,800,400,11:06:20
+1.0,2013-01-29,2013-01-29 12:11:36,1,1,042272f1f38fd9a2f90a397837e1789f.jpg,5.6,800,100,12:11:36
+1.0,2013-02-20,2013-02-20 12:12:19,1,1,44b619e6b2196b072fa7ce89f69e8458.jpg,5.6,800,160,12:12:19
+1.0,2013-02-26,2013-02-26 12:12:37,1,1,5875e31e297eb67534a6afa3b1ac2bf8.jpg,5.6,800,200,12:12:37
+1.0,2013-02-19,2013-02-19 16:29:06,1,1,61c9f8421567417f757a736d5430bc40.jpg,5.6,800,320,16:29:06
+1.0,2013-01-29,2013-01-29 12:18:03,1,1,1e00df3cc38013fab9a6e84337e5833d.jpg,5.6,800,100,12:18:03
+1.0,2012-04-03,2012-04-03 11:13:04,0,3,7871e4a2a4dbc8b3d8ff32fd13a4e93e.jpg,5.6,800,400,11:13:04
+1.0,2013-01-28,2013-01-28 12:38:25,1,1,931135ce9c00e2b94cc42ea5ea64b90a.jpg,5.6,800,100,12:38:25
+1.0,2012-03-08,2012-03-08 12:10:07,0,3,a48e587475c0525f02e6e05de69e639a.jpg,5.6,800,400,12:10:07
+1.0,2012-03-20,2012-03-20 13:56:14,0,3,917bc5f4e0272850c770543d1656b68e.jpg,5.6,800,400,13:56:14
+1.0,2012-04-03,2012-04-03 11:13:11,0,3,ff25403206610fa8d4087a9c0fa679e8.jpg,5.6,800,400,11:13:11
+1.0,2013-02-13,2013-02-13 13:01:20,1,1,78168f417684348aed09a1919b381a8c.jpg,5.6,800,100,13:01:20
+1.0,2012-03-08,2012-03-08 10:45:58,0,3,22413ebfcdfc048c5c3091abde179a61.jpg,5.6,800,400,10:45:58
+1.0,2013-01-29,2013-01-29 12:19:25,1,1,a906b9a1a267e62cb7203e0d176d387c.jpg,5.6,800,100,12:19:25
+1.0,2013-01-28,2013-01-28 12:40:45,1,1,58948f68da4d877e2ac0680ef497023c.jpg,5.6,800,100,12:40:45
+1.0,2013-01-28,2013-01-28 12:42:40,1,1,f0102af9dd9521b0406e75ecab713ce0.jpg,5.6,800,100,12:42:40
+1.0,2012-03-20,2012-03-20 12:32:21,0,3,caf928ae660439f35a1da090f5550db9.jpg,5.6,800,400,12:32:21
+1.0,2012-03-08,2012-03-08 12:12:19,0,3,94baf481eee4bbd687eff51f5481e4b7.jpg,5.6,800,400,12:12:19
+1.0,2012-03-20,2012-03-20 15:23:06,0,3,99ed965f005c931e35791a1a0ce1915e.jpg,5.6,800,400,15:23:06
+1.0,2013-01-29,2013-01-29 16:34:22,1,1,f918c63ac0de660653365aa5f23b6820.jpg,5.6,800,500,16:34:22
+1.0,2013-02-20,2013-02-20 12:42:47,1,1,abf5b0a80a487725b7983c768fb87f63.jpg,5.6,800,100,12:42:47
+1.0,2012-04-03,2012-04-03 12:27:22,0,3,393fa0eb629f8d4b50aeb8e912d07114.jpg,5.6,800,400,12:27:22
+1.0,2012-03-22,2012-03-22 11:05:52,0,3,a27632bf66ace44993dd7a175fc35d06.jpg,5.6,800,400,11:05:52
+1.0,2012-03-08,2012-03-08 10:43:58,0,3,c6e58316312f72dbbc02e7c744753695.jpg,5.6,800,400,10:43:58
+1.0,2013-02-19,2013-02-19 16:19:00,1,1,2fda41da2f479ceba4e35d2babaf30e9.jpg,5.6,800,320,16:19:00
+1.0,2013-01-28,2013-01-28 12:38:34,1,1,8bddcadc1dfb4738a64991de6a9e14a6.jpg,5.6,800,100,12:38:34
+1.0,2013-01-29,2013-01-29 12:14:25,1,1,ce3b8fcc4610dcd9a57816f1c8b0f0d5.jpg,5.6,800,100,12:14:25
+1.0,2012-03-22,2012-03-22 14:00:55,0,3,3ad22fb2f3a3c7a40877273a1268b1fc.jpg,5.6,800,400,14:00:55
+1.0,2013-01-28,2013-01-28 12:38:36,1,1,7a96b30533c0c4f1cc81a7ed6a6bb4f4.jpg,5.6,800,100,12:38:36
+1.0,2013-01-28,2013-01-28 12:37:45,1,1,119d46595036b5ca3c5bd07aac31c02b.jpg,5.6,800,100,12:37:45
+1.0,2013-02-19,2013-02-19 16:29:07,1,1,e385b0314e2e165fc22bb9d9925d6dce.jpg,5.6,800,320,16:29:07
+1.0,2013-01-28,2013-01-28 12:34:40,1,1,a4b3aa46ed53331a386b7f8819a9dbe7.jpg,5.6,800,100,12:34:40
+1.0,2013-02-19,2013-02-19 16:26:01,1,1,f0ed6ee00c274e1124fba0b6b0a1116a.jpg,5.6,800,320,16:26:01
+1.0,2012-04-03,2012-04-03 12:38:08,0,3,a6f1ac101bc157673348ed475ca6282a.jpg,5.6,800,400,12:38:08
+1.0,2013-02-19,2013-02-19 16:28:57,1,1,9c3e952976fcb2389e24199c00e882c3.jpg,5.6,800,320,16:28:57
+1.0,2013-01-28,2013-01-28 12:41:04,1,1,ba20bbc13159e5e2d4a8fa4fc393c0e0.jpg,5.6,800,100,12:41:04
+1.0,2012-04-03,2012-04-03 09:35:08,0,3,8a66dd66612e82f97220cde216caf60a.jpg,5.6,800,400,09:35:08
+1.0,2013-02-20,2013-02-20 12:34:14,1,1,ed0683cffd3cdd332eb7dc6709b2e380.jpg,5.6,800,100,12:34:14
+1.0,2012-04-03,2012-04-03 11:12:08,0,3,a816f08ac100e6bcfd118da731e836cc.jpg,5.6,800,400,11:12:08
+1.0,2012-04-03,2012-04-03 11:07:57,0,3,05571d53ca3f1030ce77e949f5658145.jpg,5.6,800,400,11:07:57
+1.0,2013-02-13,2013-02-13 12:04:39,1,1,c437f8d431b46d746adbfe25ef60daa5.jpg,5.6,800,100,12:04:39
+1.0,2013-01-29,2013-01-29 12:07:50,1,1,97ea864798965374a114289a3f714f9e.jpg,5.6,800,100,12:07:50
+1.0,2013-02-20,2013-02-20 12:13:25,1,1,67816ed53d8a372b2f9344be4ce912a3.jpg,5.6,800,160,12:13:25
+1.0,2012-04-03,2012-04-03 12:31:11,0,3,32a4fa283cac61fc03f23558438aad9d.jpg,5.6,800,400,12:31:11
+1.0,2012-03-08,2012-03-08 12:10:20,0,3,ccc25ba2697b75f7d30810b6592863bf.jpg,5.6,800,400,12:10:20
+1.0,2012-04-03,2012-04-03 09:41:07,0,3,ba37d4795a1f2473cf02477c3e419474.jpg,5.6,800,400,09:41:07
+1.0,2012-03-06,2012-03-06 13:31:24,0,3,4cb6f8f6c667b08553e1cb7177a0efd0.jpg,5.6,800,400,13:31:24
+1.0,2013-01-29,2013-01-29 12:15:38,1,1,c66b517e14e5bd8e4f3aaa6bb1c067e7.jpg,5.6,800,100,12:15:38
+1.0,2012-03-20,2012-03-20 12:31:36,0,3,3a3f23914abff6b7fe57ce613eb35ca2.jpg,5.6,800,400,12:31:36
+1.0,2012-04-03,2012-04-03 09:42:27,0,3,e0010f8e04d7cd79001d2a1468727685.jpg,5.6,800,400,09:42:27
+1.0,2013-01-29,2013-01-29 16:29:45,1,1,06ca55b5d490b36067167f03640c4fcf.jpg,5.6,800,320,16:29:45
+1.0,2013-02-13,2013-02-13 12:14:15,1,1,1a92d1a1372e6514def6bfb710f19358.jpg,5.6,800,100,12:14:15
+1.0,2013-02-26,2013-02-26 12:05:03,1,1,8fd07a7dfdad0f22259f9a6bd6c65d63.jpg,5.6,800,160,12:05:03
+1.0,2012-04-03,2012-04-03 09:41:27,0,3,4cabaf614c0e1c223933f36f1dda0d4c.jpg,5.6,800,400,09:41:27
+1.0,2013-02-20,2013-02-20 12:06:24,1,1,a7109cbcb40fa65622df86df7497a59f.jpg,5.6,800,160,12:06:24
+1.0,2012-04-03,2012-04-03 09:40:59,0,3,40b0da1546ff844ba73683062d731b61.jpg,5.6,800,400,09:40:59
+1.0,2013-02-20,2013-02-20 12:28:52,1,1,0e70ccff69ce96f44ce33ad21a95cdd6.jpg,5.6,800,100,12:28:52
+1.0,2012-03-20,2012-03-20 12:32:00,0,3,c32bb74ac2181ff870be5f5ae92806fb.jpg,5.6,800,400,12:32:00
+1.0,2013-02-20,2013-02-20 12:13:56,1,1,9199119870b6e82891ffe5636cefcbc9.jpg,5.6,800,125,12:13:56
+1.0,2012-03-20,2012-03-20 12:30:03,0,3,bea63933f4f101dd27dd78392fb066bf.jpg,5.6,800,400,12:30:03
+1.0,2012-04-03,2012-04-03 11:09:25,0,3,5265f12117f44f536572cc5bdc584718.jpg,5.6,800,400,11:09:25
+1.0,2013-02-26,2013-02-26 12:12:50,1,1,ae06dd764e99cea45d57056728297edf.jpg,5.6,800,160,12:12:50
+1.0,2012-03-13,2012-03-13 11:12:24,0,3,7b9e8c6f4d7bc5419e18b90ec744ea45.jpg,5.6,800,400,11:12:24
+1.0,2012-02-23,2012-02-23 14:55:44,0,3,d137807bac3140db19e6d8a7dd30f85b.jpg,5.6,800,400,14:55:44
+1.0,2012-03-20,2012-03-20 12:28:42,0,3,d1558e5c0ae60a0d38e6e7f04cacb294.jpg,5.6,800,400,12:28:42
+1.0,2013-01-29,2013-01-29 16:29:57,1,1,86333d917afba2f36e8cca022e6599ea.jpg,5.6,800,250,16:29:57
+1.0,2012-04-03,2012-04-03 12:31:41,0,3,31fc21488341d9d8c76ad82e1bab5ae5.jpg,5.6,800,400,12:31:41
+1.0,2012-03-20,2012-03-20 11:06:35,0,3,691d47ddbc046079fa26cee596df35f8.jpg,5.6,800,400,11:06:35
+1.0,2013-01-29,2013-01-29 16:25:21,1,1,7115d6792c9983714221952e8daa2fa8.jpg,5.6,800,320,16:25:21
+1.0,2013-01-29,2013-01-29 12:10:14,1,1,ec3aaa512e97429dc6e36b1ae222bbc5.jpg,5.6,800,100,12:10:14
+1.0,2013-02-20,2013-02-20 12:36:29,1,1,ad03b3d54ec1cc967ea4a0d718d1c0b5.jpg,5.6,800,100,12:36:29
+1.0,2012-03-06,2012-03-06 13:31:21,0,3,bb1b4380f6c3f581c88c9ed0755a2295.jpg,5.6,800,400,13:31:21
+1.0,2012-03-08,2012-03-08 12:13:14,0,3,7b7eed3cf6671fa4f49aea5a2bbab2d4.jpg,5.6,800,400,12:13:14
+1.0,2013-02-26,2013-02-26 12:35:45,1,1,1bebbc99a17b509d2b1d3b0b82d79f2d.jpg,5.6,800,200,12:35:45
+1.0,2012-03-08,2012-03-08 10:48:24,0,3,86fb743e47b23afc190af89750c31c75.jpg,5.6,800,400,10:48:24
+1.0,2012-04-03,2012-04-03 09:35:46,0,3,78a8562af54eb03fdfeb6c8f7dab8fc7.jpg,5.6,800,400,09:35:46
+1.0,2013-02-20,2013-02-20 12:42:48,1,1,ffe4d05c6693d997b89b12472ce2d33d.jpg,5.6,800,100,12:42:48
+1.0,2013-01-29,2013-01-29 12:10:49,1,1,c63ea3fbbf39692f9525e7e32c92798c.jpg,5.6,800,100,12:10:49
+1.0,2012-03-08,2012-03-08 12:12:47,0,3,a12adae4cbb7871ea111bd127de1ba02.jpg,5.6,800,400,12:12:47
+1.0,2013-02-26,2013-02-26 12:42:07,1,1,74ae71c540ce4f5ac472c55261fa300a.jpg,5.6,800,200,12:42:07
+1.0,2012-03-22,2012-03-22 11:04:06,0,3,998375c49efe8ba4c35c3335727abc5b.jpg,5.6,800,400,11:04:06
+1.0,2013-02-26,2013-02-26 12:17:27,1,1,da52f670f36318676254c195a3d4f6b8.jpg,5.6,800,200,12:17:27
+1.0,2013-01-28,2013-01-28 12:36:03,1,1,db85230bf81b66c1a94732631a8bb763.jpg,5.6,800,100,12:36:03
+1.0,2012-04-03,2012-04-03 11:06:21,0,3,57df713630c1cc024a06bd66f3b87cca.jpg,5.6,800,400,11:06:21
+1.0,2012-04-03,2012-04-03 11:12:31,0,3,71a6455432682a51015eccd842a822fc.jpg,5.6,800,400,11:12:31
+1.0,2012-04-03,2012-04-03 11:13:14,0,3,be07e1725850f73be9716f1fe3b7cf8b.jpg,5.6,800,400,11:13:14
+1.0,2012-04-03,2012-04-03 09:36:49,0,3,618bc58b8549d5245e50e073188b93ba.jpg,5.6,800,400,09:36:49
+1.0,2012-03-20,2012-03-20 11:04:30,0,3,0992f67c5892d6fcb6c0fb37ea1a2376.jpg,5.6,800,400,11:04:30
+1.0,2013-01-29,2013-01-29 12:27:23,1,1,9fbb3a5fb9adf6edd33b0e0391ad25b9.jpg,5.6,800,100,12:27:23
+1.0,2013-01-29,2013-01-29 16:27:45,1,1,ec8753105db8c1e6ca928b1723652728.jpg,5.6,800,400,16:27:45
+1.0,2013-01-28,2013-01-28 12:33:08,1,1,19894cddace0e7553e3fd1feb83dc553.jpg,5.6,800,100,12:33:08
+1.0,2013-02-26,2013-02-26 12:15:38,1,1,3bc8b40b8cc5ccaf2b51b73c9bda41bc.jpg,5.6,800,200,12:15:38
+1.0,2013-01-28,2013-01-28 12:37:17,1,1,098990e3337255c1bee1290e5e952d95.jpg,5.6,800,100,12:37:17
+1.0,2012-03-20,2012-03-20 13:59:08,0,3,987a9706226ae9235a967adfc41efe19.jpg,5.6,800,400,13:59:08
+1.0,2012-03-20,2012-03-20 12:34:53,0,3,56f040fbdc09f4b2c164fdc5da82d5f6.jpg,5.6,800,400,12:34:53
+1.0,2012-03-06,2012-03-06 13:28:18,0,3,8cc73631d15e490af26ff5770bafe7ec.jpg,5.6,800,400,13:28:18
+1.0,2012-03-08,2012-03-08 12:12:09,0,3,7b079b8fb0f8bd200e3348a22da08820.jpg,5.6,800,400,12:12:09
+1.0,2013-01-28,2013-01-28 12:37:54,1,1,77960b47610b27c587c55ccedddf6f5b.jpg,5.6,800,100,12:37:54
+1.0,2012-03-22,2012-03-22 11:04:52,0,3,91bdfa2d473d87921d4a62c158601bd2.jpg,5.6,800,400,11:04:52
+1.0,2013-02-20,2013-02-20 12:14:06,1,1,94bb28f4944ff0686a248b10eb6334e2.jpg,5.6,800,160,12:14:06
+1.0,2012-03-20,2012-03-20 15:24:24,0,3,45f76beb4c6b4de0ae9078d159f02a51.jpg,5.6,800,400,15:24:24
+1.0,2012-03-20,2012-03-20 11:06:31,0,3,68ae98fa46b1eadce07e6d427d4309c2.jpg,5.6,800,400,11:06:31
+1.0,2012-03-22,2012-03-22 14:01:04,0,3,a97272a372f31a6054f13b5bb46e98df.jpg,5.6,800,400,14:01:04
+1.0,2012-02-23,2012-02-23 14:54:40,0,3,5dd34a1f4e4d706a7765e07307dfaeaf.jpg,5.6,800,400,14:54:40
+1.0,2013-02-19,2013-02-19 16:34:32,1,1,538e911c899be2fa4fb6d1d467335a1a.jpg,5.6,800,320,16:34:32
+1.0,2013-01-29,2013-01-29 12:13:38,1,1,1375eb25abff2d231e4569ab7a9191d2.jpg,5.6,800,100,12:13:38
+1.0,2013-02-13,2013-02-13 12:45:10,1,1,0f84c478b22697966b298e5f30b9a589.jpg,5.6,800,100,12:45:10
+1.0,2012-03-20,2012-03-20 15:24:22,0,3,51cce8dc894ebdc9fe10e68a6fffd932.jpg,5.6,800,400,15:24:22
+1.0,2013-01-28,2013-01-28 12:35:37,1,1,e88352319cd9dfac029438b854297cc9.jpg,5.6,800,100,12:35:37
+1.0,2012-04-03,2012-04-03 11:10:44,0,3,5a84c37a0d06a742c0b0a94cee1ad010.jpg,5.6,800,400,11:10:44
+1.0,2013-01-29,2013-01-29 16:33:05,1,1,4c7fd07b58929fb99cefd864052bcd2a.jpg,5.6,800,320,16:33:05
+1.0,2012-04-03,2012-04-03 12:34:13,0,3,82860a13edb23dcf06c496b6d45986b8.jpg,5.6,800,400,12:34:13
+1.0,2013-01-29,2013-01-29 16:22:49,1,1,11d3c8ac8defc4f0060e4cc240659c80.jpg,5.6,800,400,16:22:49
+1.0,2012-03-20,2012-03-20 15:22:20,0,3,f6d1547a69a6df661733ae1d0a091f47.jpg,5.6,800,400,15:22:20
+1.0,2013-01-28,2013-01-28 12:34:42,1,1,8d948d4246d86b04e869f6cba4fffaa3.jpg,5.6,800,100,12:34:42
+1.0,2013-01-28,2013-01-28 12:33:23,1,1,7babdb14e83df2fd823004fdb387a45c.jpg,5.6,800,100,12:33:23
+1.0,2012-04-03,2012-04-03 09:41:20,0,3,7bf5f8a8241b11a14cd4f24995f0fa4a.jpg,5.6,800,400,09:41:20
+1.0,2013-01-29,2013-01-29 16:27:43,1,1,65dd74f9d19bf49b3f89a2160657544d.jpg,5.6,800,500,16:27:43
+1.0,2013-01-29,2013-01-29 16:31:31,1,1,4bb8a89a3c0d245a9507b32b055c68b1.jpg,5.6,800,320,16:31:31
+1.0,2012-03-08,2012-03-08 14:54:07,0,3,5a3250c540fb3a02bb45bc134db45125.jpg,5.6,800,400,14:54:07
+1.0,2012-04-03,2012-04-03 09:41:04,0,3,3b8e55168917c3c0666722f98b3068af.jpg,5.6,800,400,09:41:04
+1.0,2013-01-28,2013-01-28 12:38:18,1,1,442ddb8b9348493fe03745620398b676.jpg,5.6,800,100,12:38:18
+1.0,2013-01-29,2013-01-29 12:30:59,1,1,081a008cc4810c1ce26b563e82b652f5.jpg,5.6,800,100,12:30:59
+1.0,2012-03-22,2012-03-22 11:08:30,0,3,3decb14f1cbe83082893fd6c059a5c10.jpg,5.6,800,400,11:08:30
+1.0,2013-01-29,2013-01-29 16:30:27,1,1,0013609d9d3189887f659e1c0354ac3d.jpg,5.6,800,250,16:30:27
+1.0,2013-01-29,2013-01-29 16:27:23,1,1,7a3d251645d4c3c7fac83d00ace01af0.jpg,5.6,800,250,16:27:23
+1.0,2013-01-28,2013-01-28 12:42:03,1,1,79953bacac0e63e548b58feca537f3c1.jpg,5.6,800,100,12:42:03
+1.0,2012-03-06,2012-03-06 13:29:48,0,3,d7823ac188c3927f1c954e0478545af1.jpg,5.6,800,400,13:29:48
+1.0,2013-01-28,2013-01-28 12:38:53,1,1,54e2cc42e23afd94445da556a763387a.jpg,5.6,800,100,12:38:53
+1.0,2013-01-29,2013-01-29 16:27:05,1,1,57097386c88d51b9ecb6a2ff63f0f6f9.jpg,5.6,800,400,16:27:05
+1.0,2012-04-03,2012-04-03 11:04:09,0,3,b4ba85fba414e66d94193ff34de7a459.jpg,5.6,800,400,11:04:09
+1.0,2013-02-13,2013-02-13 13:24:29,1,1,66dfa72b48d09c6385bfdba3a799d1ef.jpg,5.6,800,100,13:24:29
+1.0,2012-04-03,2012-04-03 11:09:23,0,3,79b7f9e99a65bd5877e076a9d929194d.jpg,5.6,800,400,11:09:23
+1.0,2012-03-20,2012-03-20 09:46:44,0,3,fa4bfa27d14399cdc0af86716b91288d.jpg,5.6,800,400,09:46:44
+1.0,2012-03-20,2012-03-20 09:41:32,0,3,2056cb02c0cd9d0756434b2b9ffa3ef7.jpg,5.6,800,400,09:41:32
+1.0,2012-03-08,2012-03-08 10:46:31,0,3,ed659b1413d541c84e6d675fd69aae57.jpg,5.6,800,400,10:46:31
+1.0,2013-02-19,2013-02-19 16:25:19,1,1,f37fe7fa97716b16d788b04145095e6e.jpg,5.6,800,320,16:25:19
+1.0,2013-02-13,2013-02-13 12:02:54,1,1,d9f30a268578e80f85fe78c5384d68f3.jpg,5.6,800,100,12:02:54
+1.0,2013-02-13,2013-02-13 12:32:55,1,1,e9351529f34b33b7534ae1ec7fc66a30.jpg,5.6,800,100,12:32:55
+1.0,2012-04-03,2012-04-03 11:11:31,0,3,d035addf4538ce496f4601b00b665d83.jpg,5.6,800,400,11:11:31
+1.0,2012-04-03,2012-04-03 09:37:03,0,3,c9165e20f6b66580fed47c56bab93a78.jpg,5.6,800,400,09:37:03
+1.0,2013-02-26,2013-02-26 12:05:13,1,1,63f0521d7dd90b6470a8fe6244d56671.jpg,5.6,800,160,12:05:13
+1.0,2013-02-19,2013-02-19 16:26:29,1,1,58f185ad4dc33e94868c0f3777a67fa9.jpg,5.6,800,320,16:26:29
+1.0,2012-03-20,2012-03-20 12:29:58,0,3,f6ee71203f82b79ed8472838652c7438.jpg,5.6,800,400,12:29:58
+1.0,2012-03-20,2012-03-20 12:35:00,0,3,41e1533db02e0aa5371fb5a28df6223c.jpg,5.6,800,400,12:35:00
+1.0,2013-02-20,2013-02-20 12:32:18,1,1,7a6a5ec1c103d19b1662080b9cf96a68.jpg,5.6,800,100,12:32:18
+1.0,2013-01-29,2013-01-29 16:34:30,1,1,d03c3d5a1e843b6ccbd1a2f89381236f.jpg,5.6,800,320,16:34:30
+1.0,2012-03-22,2012-03-22 14:01:04,0,3,587fd69e75e31e89c66aeca1be499925.jpg,5.6,800,400,14:01:04
+1.0,2012-03-20,2012-03-20 15:24:14,0,3,91073d2c53ee89e8892151d50f8f21e7.jpg,5.6,800,400,15:24:14
+1.0,2012-03-13,2012-03-13 11:12:15,0,3,74ae00bb381d1cb565a2a5ec7ddfb806.jpg,5.6,800,400,11:12:15
+1.0,2012-03-20,2012-03-20 12:30:29,0,3,e2b61b16337b7668512609cd211a6b5f.jpg,5.6,800,400,12:30:29
+1.0,2013-01-29,2013-01-29 12:31:02,1,1,1bcc2d5806e95ad0d24ba6a402c5732b.jpg,5.6,800,100,12:31:02
+1.0,2012-04-03,2012-04-03 11:05:14,0,3,7f45e0b90d7d1096481b3418ebf9538d.jpg,5.6,800,400,11:05:14
+1.0,2012-03-20,2012-03-20 13:56:23,0,3,a6369d927258d69ea9f96a13930e6f6c.jpg,5.6,800,400,13:56:23
+1.0,2012-03-20,2012-03-20 13:55:57,0,3,4abbcdff8196bd29b7ad8cbe10bd10b3.jpg,5.6,800,400,13:55:57
+1.0,2013-02-20,2013-02-20 12:26:10,1,1,44f0f549fe5e5caf74a57c85eb914746.jpg,5.6,800,100,12:26:10
+1.0,2012-03-20,2012-03-20 09:45:29,0,3,b39a6c626c07a1b4b9a522147e275915.jpg,5.6,800,400,09:45:29
+1.0,2012-03-08,2012-03-08 12:12:10,0,3,2379f8b7e9b2efcf3586eb0e4ba5229f.jpg,5.6,800,400,12:12:10
+1.0,2012-03-20,2012-03-20 12:30:12,0,3,6af8e37ccdbb8cfb552ec0724b6cdaa0.jpg,5.6,800,400,12:30:12
+1.0,2012-03-06,2012-03-06 13:28:27,0,3,c8b76c04d4ae14cda84fbcd0fb4762b4.jpg,5.6,800,400,13:28:27
+1.0,2013-01-29,2013-01-29 12:20:47,1,1,62fa839deaa2f76133312131c230b1a4.jpg,5.6,800,100,12:20:47
+1.0,2012-03-20,2012-03-20 13:58:33,0,3,2fd32f01f08025c65cb861b2d14a0fd5.jpg,5.6,800,400,13:58:33
+1.0,2012-04-03,2012-04-03 09:37:27,0,3,9c2a475facc7c0f839264f87d9d3e304.jpg,5.6,800,400,09:37:27
+1.0,2012-04-03,2012-04-03 11:04:08,0,3,1b6347aa3ff53651127181708a85b3e0.jpg,5.6,800,400,11:04:08
+1.0,2012-04-03,2012-04-03 09:44:54,0,3,d6fd386c51910db2dc1f49e4fb822ea2.jpg,5.6,800,400,09:44:54
+1.0,2012-03-08,2012-03-08 14:53:33,0,3,54fb1c7d7bf535742724dd3fc64e67e6.jpg,5.6,800,400,14:53:33
+1.0,2012-03-08,2012-03-08 12:12:07,0,3,0c02e9126911380868a32f86c67bc203.jpg,5.6,800,400,12:12:07
+1.0,2012-03-08,2012-03-08 10:47:37,0,3,e9ef497b5e28bd97bd6459004b45d8cb.jpg,5.6,800,400,10:47:37
+1.0,2012-03-20,2012-03-20 13:56:22,0,3,f500da01598b7a13250dbfaa4675c778.jpg,5.6,800,400,13:56:22
+1.0,2013-01-28,2013-01-28 12:37:55,1,1,deffc07001abc912fce8059af2015b2f.jpg,5.6,800,100,12:37:55
+1.0,2013-01-28,2013-01-28 12:33:14,1,1,f1f016ea24fc7a172a5c4b55713095c1.jpg,5.6,800,100,12:33:14
+1.0,2012-03-20,2012-03-20 15:24:20,0,3,b694b04379abaf69ca34aeef8dd3a34d.jpg,5.6,800,400,15:24:20
+1.0,2013-01-29,2013-01-29 12:10:45,1,1,71b538fe282ae234f57ceb940681ff25.jpg,5.6,800,100,12:10:45
+1.0,2013-01-28,2013-01-28 12:41:52,1,1,9cacd27fb5f2ef7f62c0c6f1f7dcde69.jpg,5.6,800,100,12:41:52
+1.0,2012-04-03,2012-04-03 09:44:02,0,3,00277e13db74abebccb2035f0e90eabe.jpg,5.6,800,400,09:44:02
+1.0,2013-01-29,2013-01-29 12:12:40,1,1,2fd31c7e0d65378556cde9717c0313d0.jpg,5.6,800,100,12:12:40
+1.0,2012-03-06,2012-03-06 13:31:51,0,3,15fed412861687d7164f6696a2479f40.jpg,5.6,800,400,13:31:51
+1.0,2012-03-06,2012-03-06 13:30:18,0,3,fb60df447b86644c5612da030b77335c.jpg,5.6,800,400,13:30:18
+1.0,2013-02-26,2013-02-26 12:35:49,1,1,6ef30380968361da59cb7e9685cd889e.jpg,5.6,800,200,12:35:49
+1.0,2013-01-28,2013-01-28 12:34:06,1,1,b47e20d0b25cf97abc058dce83d56dc0.jpg,5.6,800,100,12:34:06
+1.0,2012-03-22,2012-03-22 11:07:49,0,3,a90669cb945c6121dd73f5ee7aceb3b8.jpg,5.6,800,400,11:07:49
+1.0,2013-01-28,2013-01-28 12:36:08,1,1,acda9c1e9b0aa54712409ee77d269ff9.jpg,5.6,800,100,12:36:08
+1.0,2012-03-20,2012-03-20 12:33:32,0,3,68e5ed192ed738363c2e0130f909d43b.jpg,5.6,800,400,12:33:32
+1.0,2013-01-28,2013-01-28 12:38:07,1,1,b6c3768dc6ff14564b9147d6bab7bf20.jpg,5.6,800,100,12:38:07
+1.0,2012-04-03,2012-04-03 09:34:59,0,3,32ce6adfb5dbdca42b2a871ef651bedd.jpg,5.6,800,400,09:34:59
+1.0,2012-03-20,2012-03-20 12:36:22,0,3,cd6e3a8f4e3faeb1d7a0f6ef654e90d6.jpg,5.6,800,400,12:36:22
+1.0,2012-02-23,2012-02-23 14:54:43,0,3,cf9eb9d1b2c4936da62d64a72fca32a6.jpg,5.6,800,400,14:54:43
+1.0,2013-01-28,2013-01-28 12:37:40,1,1,ebb6ae09aedd08e47743c81d608d2a28.jpg,5.6,800,100,12:37:40
+1.0,2013-02-19,2013-02-19 16:32:43,1,1,b20e39eede82c631becd33d60115053e.jpg,5.6,800,320,16:32:43
+1.0,2013-01-28,2013-01-28 12:37:17,1,1,498cdd2ca42c2708c7d50c1a2f4a5902.jpg,5.6,800,100,12:37:17
+1.0,2012-04-24,2012-04-24 11:06:38,0,3,6fc298c0b9633dcb6c5e7c36ab6218f4.jpg,5.6,800,400,11:06:38
+1.0,2013-01-28,2013-01-28 12:41:49,1,1,9cd0da6bd17edf00a2fbac0fd4f6b11c.jpg,5.6,800,100,12:41:49
+1.0,2013-02-26,2013-02-26 12:33:08,1,1,88cf9df782e3bb738bfe62bb5d7e6883.jpg,5.6,800,200,12:33:08
+1.0,2012-03-22,2012-03-22 11:08:44,0,3,8f811c2bac8378719ccb0fcc5da16454.jpg,5.6,800,400,11:08:44
+1.0,2013-01-28,2013-01-28 12:33:02,1,1,3b08f1fefac0cbfbc2d40f2f82c5e9bd.jpg,5.6,800,100,12:33:02
+1.0,2012-03-06,2012-03-06 13:27:39,0,3,c00969abe2ddfc0163c20f569ad141d7.jpg,5.6,800,400,13:27:39
+1.0,2012-03-20,2012-03-20 11:07:05,0,3,46a3a5fdba3cd424b504dfefa602dc3b.jpg,5.6,800,400,11:07:05
+1.0,2013-02-19,2013-02-19 16:31:48,1,1,c27463cd26d5b4402c85550df3fd2a16.jpg,5.6,800,320,16:31:48
+1.0,2012-02-23,2012-02-23 14:55:41,0,3,20e4c2cb312c3d82cd1413255b985215.jpg,5.6,800,400,14:55:41
+1.0,2012-03-20,2012-03-20 13:58:30,0,3,b9796e8fdf5a943810b58bdbf63c0818.jpg,5.6,800,400,13:58:30
+1.0,2013-02-20,2013-02-20 12:04:50,1,1,0fad6709a422a70680a6997990a0c23d.jpg,5.6,800,160,12:04:50
+1.0,2013-02-26,2013-02-26 12:15:34,1,1,e25cf9765af40d49cdee093385a47b16.jpg,5.6,800,200,12:15:34
+1.0,2012-03-20,2012-03-20 13:59:35,0,3,c76c6e073d9785b84c57cffeb44da89c.jpg,5.6,800,400,13:59:35
+1.0,2012-02-23,2012-02-23 14:58:48,0,3,ebb17fba50b9a189932941eb922061b4.jpg,5.6,800,400,14:58:48
+1.0,2012-04-03,2012-04-03 11:11:12,0,3,92094f115bd633bade7039dc34801f82.jpg,5.6,800,400,11:11:12
+1.0,2013-01-29,2013-01-29 16:22:44,1,1,450c63214e3d4834ec377834e72db808.jpg,5.6,800,500,16:22:44
+1.0,2012-04-03,2012-04-03 11:12:33,0,3,d8aea23031b118b469379273863a71a0.jpg,5.6,800,400,11:12:33
+1.0,2012-03-20,2012-03-20 11:05:46,0,3,b877ed5d0a21b64198750478e6eccd4d.jpg,5.6,800,400,11:05:46
+1.0,2013-01-29,2013-01-29 12:17:08,1,1,0132a6c4df0f2ab0be1836a91bf687fd.jpg,5.6,800,100,12:17:08
+1.0,2013-02-13,2013-02-13 12:15:40,1,1,3e0e319228990e78ba1bb9fecf20aca9.jpg,5.6,800,100,12:15:40
+1.0,2012-03-20,2012-03-20 13:58:54,0,3,3b43a658551353ba747427bb8a1bb032.jpg,5.6,800,400,13:58:54
+1.0,2012-03-20,2012-03-20 13:56:56,0,3,f2068d14eb65f8dd8b92b6c18f4216d2.jpg,5.6,800,400,13:56:56
+1.0,2012-04-03,2012-04-03 09:36:31,0,3,f72b2aab951edd811afa989a349ed8ff.jpg,5.6,800,400,09:36:31
+1.0,2013-01-28,2013-01-28 12:37:19,1,1,233d746a0b6f4ad7792aec32c9fbc3b3.jpg,5.6,800,100,12:37:19
+1.0,2012-03-06,2012-03-06 13:31:21,0,3,74a13e8117a660288fa2d044d9f93504.jpg,5.6,800,400,13:31:21
+1.0,2013-02-26,2013-02-26 12:19:05,1,1,5d9df8f82619bc294a5f359d9d998c4b.jpg,5.6,800,200,12:19:05
+1.0,2013-02-26,2013-02-26 12:12:27,1,1,44cd9983a9d42b0c2407ea7fffd09f20.jpg,5.6,800,200,12:12:27
+1.0,2012-03-08,2012-03-08 10:47:39,0,3,d27394ee93dc32aada6af7089b71ed82.jpg,5.6,800,400,10:47:39
+1.0,2012-04-25,2012-04-25 11:01:50,0,3,5374ed51c63469bdf2fac3f58b82021c.jpg,5.6,800,400,11:01:50
+1.0,2012-03-20,2012-03-20 12:34:29,0,3,899bfbd1576c68c1f161216901f7a9b3.jpg,5.6,800,400,12:34:29
+1.0,2012-03-20,2012-03-20 11:09:28,0,3,7296cb22cc7c641d784e4825c02c6585.jpg,5.6,800,400,11:09:28
+1.0,2013-01-28,2013-01-28 12:41:50,1,1,8c5e2889989b184cf70a79d1033daea2.jpg,5.6,800,100,12:41:50
+1.0,2013-01-29,2013-01-29 16:24:33,1,1,6f3f74da3386db34a6ee1250fe17e227.jpg,5.6,800,320,16:24:33
+1.0,2012-03-20,2012-03-20 11:05:49,0,3,bf1960a553151cd7945747812cbc09e5.jpg,5.6,800,400,11:05:49
+1.0,2013-01-28,2013-01-28 12:37:51,1,1,a29a58962c2e8d44787290db4d8a2b0a.jpg,5.6,800,100,12:37:51
+1.0,2013-02-26,2013-02-26 12:14:24,1,1,ba9fd46f5f43650f461af8daee846bd5.jpg,5.6,800,200,12:14:24
+1.0,2012-03-20,2012-03-20 09:43:41,0,3,6576e9a7da0dfeec2131b60b62e9b694.jpg,5.6,800,400,09:43:41
+1.0,2013-01-29,2013-01-29 12:17:22,1,1,f5e332c5cf2fe454960001b2648efe9a.jpg,5.6,800,100,12:17:22
+1.0,2012-03-20,2012-03-20 13:55:57,0,3,22464704f410d6f04759f0cf05583eee.jpg,5.6,800,400,13:55:57
+1.0,2013-01-28,2013-01-28 12:42:10,1,1,2b3579003ae9fd34bf98003c90ec4cd3.jpg,5.6,800,100,12:42:10
+1.0,2012-03-20,2012-03-20 11:09:35,0,3,abef504b9d63735f920d37b3df2191c3.jpg,5.6,800,400,11:09:35
+1.0,2013-02-20,2013-02-20 12:23:57,1,1,96fac2f7e760c7bb73bda117dbc869fd.jpg,5.6,800,100,12:23:57
+1.0,2012-03-22,2012-03-22 11:09:49,0,3,3c045c11b74ab2ad17561cdb371a3df5.jpg,5.6,800,400,11:09:49
+1.0,2013-02-20,2013-02-20 12:25:30,1,1,c282d0a7e04538a734e98c75f877b854.jpg,5.6,800,100,12:25:30
+1.0,2012-03-20,2012-03-20 09:43:33,0,3,2a110978aaaf7021eee851091174bf5c.jpg,5.6,800,400,09:43:33
+1.0,2012-03-20,2012-03-20 13:55:58,0,3,7364aa2aaded3aa8d332820bb0d937a8.jpg,5.6,800,400,13:55:58
+1.0,2013-02-20,2013-02-20 12:35:55,1,1,8e0d715d913a46d1edfc53c754322bbc.jpg,5.6,800,100,12:35:55
+1.0,2012-03-20,2012-03-20 09:45:57,0,3,83e1579eb2d2bf4e1d9865def59db81a.jpg,5.6,800,400,09:45:57
+1.0,2012-04-03,2012-04-03 12:32:28,0,3,9c29b7d694d9fbfab4b62618e9a8677b.jpg,5.6,800,400,12:32:28
+1.0,2012-03-20,2012-03-20 15:23:19,0,3,5cb426ab75343784d95c9c02c3178a1c.jpg,5.6,800,400,15:23:19
+1.0,2012-03-08,2012-03-08 12:13:07,0,3,5982eed0f3f6f9a101d253ededb0b1c9.jpg,5.6,800,400,12:13:07
+1.0,2013-01-28,2013-01-28 12:37:53,1,1,095704fbbcaf893c8076dd98f7549b61.jpg,5.6,800,100,12:37:53
+1.0,2012-03-06,2012-03-06 13:30:15,0,3,187055a9c433d6917d84d9c76641506d.jpg,5.6,800,400,13:30:15
+1.0,2012-03-08,2012-03-08 10:47:16,0,3,8b5dfacc72b7c9bf446c5dd385bf4ac0.jpg,5.6,800,400,10:47:16
+1.0,2012-03-20,2012-03-20 15:25:04,0,3,c8b9802cd4f57f36fd5ea555773c90e2.jpg,5.6,800,400,15:25:04
+1.0,2013-02-20,2013-02-20 12:20:13,1,1,1c9e3545a55a4b3f39ccb6f632b7c033.jpg,5.6,800,100,12:20:13
+1.0,2013-02-20,2013-02-20 12:12:45,1,1,67c9e458dec644ebb0a2b00eca58d800.jpg,5.6,800,160,12:12:45
+1.0,2013-01-28,2013-01-28 12:41:51,1,1,19df177d4cff1be0d12980ef392ff806.jpg,5.6,800,100,12:41:51
+1.0,2013-02-19,2013-02-19 16:30:48,1,1,5bbf7b820a1fcaf3c3abeaaf6ccf5c95.jpg,5.6,800,320,16:30:48
+1.0,2012-03-20,2012-03-20 12:29:57,0,3,deba600048dfb11f7f038c88d842c2ac.jpg,5.6,800,400,12:29:57
+1.0,2012-02-23,2012-02-23 14:55:38,0,3,114ec44e5a14a7b30580d0b0a8e8a7e0.jpg,5.6,800,400,14:55:38
+1.0,2012-03-20,2012-03-20 09:41:05,0,3,e5718c030db605dffb3551b2910f7939.jpg,5.6,800,400,09:41:05
+1.0,2012-03-20,2012-03-20 13:56:29,0,3,cecdd3c68319a481150c86f2bd2bb280.jpg,5.6,800,400,13:56:29
+1.0,2012-03-20,2012-03-20 12:33:57,0,3,1e72d3a3c4af8b949211e0d5e4cfaf1e.jpg,5.6,800,400,12:33:57
+1.0,2012-04-03,2012-04-03 09:36:50,0,3,a2d857b41e2974cc1acd013f653e0ea5.jpg,5.6,800,400,09:36:50
+1.0,2013-01-29,2013-01-29 12:11:01,1,1,ab222797102f8e897a72e717d1e3dfdb.jpg,5.6,800,100,12:11:01
+1.0,2013-01-29,2013-01-29 12:12:14,1,1,5ef9feb2ecbf7acc1ea50c9f139e0acd.jpg,5.6,800,100,12:12:14
+1.0,2013-01-29,2013-01-29 12:12:43,1,1,449064c0aca501cf39db982c4c4e3823.jpg,5.6,800,100,12:12:43
+1.0,2013-02-20,2013-02-20 12:19:31,1,1,59cda747e62ed7a6c8b6a3f27ca8cff1.jpg,5.6,800,100,12:19:31
+1.0,2012-04-03,2012-04-03 09:45:03,0,3,bc6966650280472b2983a3a9689af39c.jpg,5.6,800,400,09:45:03
+1.0,2012-03-08,2012-03-08 10:43:49,0,3,4a8e36a1113e9bdbaea81cb6dd9c735c.jpg,5.6,800,400,10:43:49
+1.0,2013-01-29,2013-01-29 16:30:52,1,1,2ec540951df88c3797e195dfdb3c5585.jpg,5.6,800,640,16:30:52
+1.0,2013-02-13,2013-02-13 13:16:12,1,1,4c054d46effe6b3ae1b6e4b782e287d9.jpg,5.6,800,100,13:16:12
+1.0,2013-02-19,2013-02-19 16:33:51,1,1,371157c7bfd40de93d7050e8b2f571ca.jpg,5.6,800,320,16:33:51
+1.0,2012-04-03,2012-04-03 09:37:57,0,3,f07f87def5a162f58f821bb938c23482.jpg,5.6,800,400,09:37:57
+1.0,2013-02-26,2013-02-26 12:05:14,1,1,0c8133fb7a2a3fda4b2ba574968f37ca.jpg,5.6,800,160,12:05:14
+1.0,2013-02-20,2013-02-20 12:27:23,1,1,9ace16372d15da81755391316dc04ee8.jpg,5.6,800,100,12:27:23
+1.0,2012-03-08,2012-03-08 10:47:23,0,3,876e09f25dee8266c3b008f952839193.jpg,5.6,800,400,10:47:23
+1.0,2012-03-22,2012-03-22 13:58:28,0,3,16432d33f4589435d08efaa7eb829e70.jpg,5.6,800,400,13:58:28
+1.0,2013-01-29,2013-01-29 12:10:53,1,1,3807670cb07bdceb3283ab46ea3bfd10.jpg,5.6,800,100,12:10:53
+1.0,2013-02-13,2013-02-13 12:32:48,1,1,e245b3789d9cd361010550ef71cec19a.jpg,5.6,800,100,12:32:48
+1.0,2012-03-06,2012-03-06 13:29:28,0,3,6081d551267828337c2d220f4a00a21c.jpg,5.6,800,400,13:29:28
+1.0,2012-04-03,2012-04-03 09:41:02,0,3,37b212f69fd76d5a6b2aad2e15117d3c.jpg,5.6,800,400,09:41:02
+1.0,2013-02-19,2013-02-19 16:28:36,1,1,40bcc4c723e852e0c7bcbf1acec702d4.jpg,5.6,800,320,16:28:36
+1.0,2013-02-20,2013-02-20 12:24:03,1,1,8dc5688800ed710716bbb5eb7c0b885c.jpg,5.6,800,100,12:24:03
+1.0,2013-01-29,2013-01-29 12:31:24,1,1,c9bded23a9322048933a6390b3cfd3dd.jpg,5.6,800,100,12:31:24
+1.0,2012-03-06,2012-03-06 13:28:59,0,3,59b18edc261955d0bb2a59814313f606.jpg,5.6,800,400,13:28:59
+1.0,2013-02-13,2013-02-13 12:07:24,1,1,7b6ee751b38c6bdd84494f46e58f74f7.jpg,5.6,800,100,12:07:24
+1.0,2013-01-29,2013-01-29 12:33:46,1,1,10764b067bf24fb602b4a13a64e06096.jpg,5.6,800,100,12:33:46
+1.0,2013-01-28,2013-01-28 12:41:46,1,1,4e92a96a5e0e53675d68ecfa1c2c436d.jpg,5.6,800,100,12:41:46
+1.0,2013-02-26,2013-02-26 12:07:18,1,1,74f8f7d8de925f881662b77316020a63.jpg,5.6,800,200,12:07:18
+1.0,2013-02-26,2013-02-26 12:31:43,1,1,821acd0369ccaf9a6b7beafbf0b86b89.jpg,5.6,800,200,12:31:43
+1.0,2013-01-28,2013-01-28 12:34:42,1,1,6c1c672613bbe982824b378ed78429b8.jpg,5.6,800,100,12:34:42
+1.0,2012-04-03,2012-04-03 09:43:26,0,3,d405acf0cccbf3cb8cc7e40cd599781b.jpg,5.6,800,400,09:43:26
+1.0,2012-03-08,2012-03-08 10:47:24,0,3,1d8ae142a691b147ebdce364c6366eaf.jpg,5.6,800,400,10:47:24
+1.0,2012-03-20,2012-03-20 12:35:51,0,3,88ffadabe5ca49a93a3a703735a5253f.jpg,5.6,800,400,12:35:51
+1.0,2012-03-20,2012-03-20 12:34:00,0,3,5d0505d34d210bdef31fd4cebb503c46.jpg,5.6,800,400,12:34:00
+1.0,2013-01-28,2013-01-28 12:40:02,1,1,8f9cc03ae1521f3ce1c3fc69083576a3.jpg,5.6,800,100,12:40:02
+1.0,2012-03-08,2012-03-08 14:53:39,0,3,0d962119bc2ed3e4ca6f814627df2347.jpg,5.6,800,400,14:53:39
+1.0,2012-04-03,2012-04-03 11:10:40,0,3,5ccaef0c9613588f9eab850736b79ed2.jpg,5.6,800,400,11:10:40
+1.0,2013-01-29,2013-01-29 16:29:36,1,1,c0306d2b4ec69c131fd1c3a860a130c6.jpg,5.6,800,400,16:29:36
+1.0,2012-03-20,2012-03-20 12:34:02,0,3,5ed3a44d7d309b0086e3571dcbe7c48a.jpg,5.6,800,400,12:34:02
+1.0,2012-03-20,2012-03-20 09:46:02,0,3,d68b7f26d89ab5a5b3f63dba02c6fd8d.jpg,5.6,800,400,09:46:02
+1.0,2013-02-20,2013-02-20 12:11:33,1,1,a0f7ac91f17be5d5fc996a1e62d64a95.jpg,5.6,800,160,12:11:33
+1.0,2012-04-03,2012-04-03 09:35:32,0,3,3e8e09a2acbb42493c09ee4b76617623.jpg,5.6,800,400,09:35:32
+1.0,2013-01-29,2013-01-29 12:33:41,1,1,bf7c7d0123bbb68174970e7c42d99f2a.jpg,5.6,800,100,12:33:41
+1.0,2013-02-13,2013-02-13 12:59:07,1,1,37fc0fbc3e8e722c4cfead3b3e9c8e68.jpg,5.6,800,100,12:59:07
+1.0,2013-01-29,2013-01-29 12:33:41,1,1,590da65d1aef892e7eebab6301a1d8dc.jpg,5.6,800,100,12:33:41
+1.0,2013-01-28,2013-01-28 12:34:37,1,1,c1bbb1820bc907062b2843231817428b.jpg,5.6,800,100,12:34:37
+1.0,2013-01-29,2013-01-29 12:15:48,1,1,1451fe7e10748afe565715f253a84dc7.jpg,5.6,800,100,12:15:48
+1.0,2013-01-29,2013-01-29 12:17:02,1,1,79b00a0d0b6cd1dff1f1383406aa9dc8.jpg,5.6,800,100,12:17:02
+1.0,2013-02-20,2013-02-20 12:04:35,1,1,8dceb03d1a7ad5c1fba3ed1eac38cf14.jpg,5.6,800,200,12:04:35
+1.0,2013-01-29,2013-01-29 12:34:34,1,1,e032ff8b5b8ecf064ca1842a9f8685dd.jpg,5.6,800,100,12:34:34
+1.0,2012-03-20,2012-03-20 13:55:56,0,3,0d337aa2f12849ce5851fb4bdbcf1c65.jpg,5.6,800,400,13:55:56
+1.0,2012-04-03,2012-04-03 09:44:17,0,3,53e75dbba1548f7a77b18e1d8ba43f5b.jpg,5.6,800,400,09:44:17
+1.0,2013-01-28,2013-01-28 12:33:17,1,1,7932523eef17fcfac750d842e76f4fa5.jpg,5.6,800,100,12:33:17
+1.0,2013-02-20,2013-02-20 12:26:23,1,1,fd21661149865540f517781f2767b9f9.jpg,5.6,800,100,12:26:23
+1.0,2013-01-28,2013-01-28 12:36:10,1,1,6fa9adfa3e8196bba1e79606eeddfb37.jpg,5.6,800,100,12:36:10
+1.0,2013-01-28,2013-01-28 12:37:53,1,1,ed1e85591eaab434b39c9ed554c1035a.jpg,5.6,800,100,12:37:53
+1.0,2013-02-13,2013-02-13 13:17:12,1,1,93463e69fde8d4b5e5a8cd9b3903b49a.jpg,5.6,800,100,13:17:12
+1.0,2012-04-03,2012-04-03 11:13:06,0,3,af55d1ddce3e87ddaab61474d252df3e.jpg,5.6,800,400,11:13:06
+1.0,2012-03-20,2012-03-20 13:57:00,0,3,2ddea96d6aa5b23e13e4273ed4686933.jpg,5.6,800,400,13:57:00
+1.0,2012-03-20,2012-03-20 13:58:38,0,3,327f30825d035eff60ca8ed68da51890.jpg,5.6,800,400,13:58:38
+1.0,2012-03-20,2012-03-20 09:47:33,0,3,1bd6c84797693f1eba83e81a1c46837f.jpg,5.6,800,400,09:47:33
+1.0,2013-01-29,2013-01-29 12:17:58,1,1,e9edcd1ecd35430937166050cd206aef.jpg,5.6,800,100,12:17:58
+1.0,2012-02-23,2012-02-23 14:56:08,0,3,83168ba114bc3df6dd1c4c52cbfbc15c.jpg,5.6,800,400,14:56:08
+1.0,2013-01-28,2013-01-28 12:34:36,1,1,647ccb11017e201c0dac9a629b659d7b.jpg,5.6,800,100,12:34:36
+1.0,2012-04-03,2012-04-03 09:43:24,0,3,32ae433bad60549668d9ecb9f6826e79.jpg,5.6,800,400,09:43:24
+1.0,2012-03-20,2012-03-20 13:59:17,0,3,11070caecdf750119269014216f4594e.jpg,5.6,800,400,13:59:17
+1.0,2012-04-03,2012-04-03 11:04:01,0,3,f6e3b79117f404490658ec88c6c854b4.jpg,5.6,800,400,11:04:01
+1.0,2012-03-20,2012-03-20 09:44:53,0,3,c057b66d0df4c4987ea694c65d66d46c.jpg,5.6,800,400,09:44:53
+1.0,2013-01-28,2013-01-28 12:41:27,1,1,8aef52a13e2dc2e1bd4b051ab827a0e1.jpg,5.6,800,100,12:41:27
+1.0,2013-01-29,2013-01-29 12:10:34,1,1,878a34d6d6da7a03637ea248b12848ac.jpg,5.6,800,100,12:10:34
+1.0,2013-02-13,2013-02-13 12:14:51,1,1,adad6c928fe3a9e31bfa7a6593f56899.jpg,5.6,800,100,12:14:51
+1.0,2013-01-29,2013-01-29 16:29:37,1,1,8e75b0e0da36d6f110f95b03fce9d786.jpg,5.6,800,320,16:29:37
+1.0,2012-04-03,2012-04-03 11:08:05,0,3,8bfbb74893d4cb83e372a0545ef88447.jpg,5.6,800,400,11:08:05
+1.0,2013-02-20,2013-02-20 12:44:21,1,1,04693e03548cb6b4f5661df0d6ac5596.jpg,5.6,800,100,12:44:21
+1.0,2013-01-28,2013-01-28 12:40:44,1,1,89442c6020d43491edc0f9a934ec4ed0.jpg,5.6,800,100,12:40:44
+1.0,2012-03-20,2012-03-20 12:35:02,0,3,ec5f07585f83aeef9fb9279bd85fe8ab.jpg,5.6,800,400,12:35:02
+1.0,2013-02-19,2013-02-19 16:25:10,1,1,fd52521cab9ddf9bcb9c44ef34880b03.jpg,5.6,800,320,16:25:10
+1.0,2013-02-20,2013-02-20 12:42:55,1,1,c5361f07a0344c1e8089d01996104601.jpg,5.6,800,100,12:42:55
+1.0,2012-04-03,2012-04-03 11:04:50,0,3,ab3f831a2d420dd4a048d9cf268e6e9f.jpg,5.6,800,400,11:04:50
+1.0,2012-03-20,2012-03-20 13:57:53,0,3,76074cd325d55368b4ce3ac760a4d171.jpg,5.6,800,400,13:57:53
+1.0,2012-03-20,2012-03-20 13:59:29,0,3,25341d294a7a78b285e21345131391ae.jpg,5.6,800,400,13:59:29
+1.0,2013-02-26,2013-02-26 12:10:51,1,1,161e2ce33cb781d911b3b58d2e926101.jpg,5.6,800,160,12:10:51
+1.0,2012-03-22,2012-03-22 11:08:16,0,3,e05aad1f9b3eade19f0422675ef15c1c.jpg,5.6,800,400,11:08:16
+1.0,2013-02-19,2013-02-19 16:31:04,1,1,64c819aa4c657b9817ef503e3275b10a.jpg,5.6,800,320,16:31:04
+1.0,2012-04-03,2012-04-03 12:32:03,0,3,a71de165cde6dc494e4b39d00e8d2fcb.jpg,5.6,800,400,12:32:03
+1.0,2013-01-29,2013-01-29 12:09:02,1,1,5aac5b82f3d4a00070a3514eb1509835.jpg,5.6,800,100,12:09:02
+1.0,2012-03-06,2012-03-06 13:28:30,0,3,a9db320e921413f34033db794f74ec38.jpg,5.6,800,400,13:28:30
+1.0,2013-01-28,2013-01-28 12:33:08,1,1,00ddb4f754c4d9e286bf9ca4c9ab1319.jpg,5.6,800,100,12:33:08
+1.0,2013-02-26,2013-02-26 12:17:29,1,1,9e9c214bde9e902360694abef061baf2.jpg,5.6,800,200,12:17:29
+1.0,2013-02-26,2013-02-26 12:29:59,1,1,d74874651fe227ff1bbb982b1f3d52a3.jpg,5.6,800,200,12:29:59
+1.0,2012-04-03,2012-04-03 12:37:03,0,3,fd308b5afdd513a3356a2f3f54b52636.jpg,5.6,800,400,12:37:03
+1.0,2012-03-20,2012-03-20 13:57:55,0,3,0cfea2eaa660514398f08a3b4b8117ea.jpg,5.6,800,400,13:57:55
+1.0,2012-03-20,2012-03-20 13:57:53,0,3,dd400eb5d17e7e04f591c115f099de3d.jpg,5.6,800,400,13:57:53
+1.0,2013-01-29,2013-01-29 16:29:58,1,1,02982a13e4fe1187a3838d07a6791a2a.jpg,5.6,800,320,16:29:58
+1.0,2012-03-20,2012-03-20 11:05:47,0,3,1c208110aba6533c3559f34c9db526c7.jpg,5.6,800,400,11:05:47
+1.0,2012-03-08,2012-03-08 12:12:27,0,3,ab65fcc3f47c6a548ba74d450c3876bc.jpg,5.6,800,400,12:12:27
+1.0,2013-01-29,2013-01-29 12:07:26,1,1,8e6a3c8d9dee19a96b2cf3de3aaf677e.jpg,5.6,800,100,12:07:26
+1.0,2013-02-13,2013-02-13 13:15:15,1,1,f18830e213c36f46c0affd03b797ce49.jpg,5.6,800,100,13:15:15
+1.0,2013-02-26,2013-02-26 12:28:35,1,1,4e8ae7e9dd0b92a2796f7aed9366d835.jpg,5.6,800,200,12:28:35
+1.0,2012-03-22,2012-03-22 11:08:22,0,3,3c2189c5397f730da15e28380971e2cb.jpg,5.6,800,400,11:08:22
+1.0,2012-03-20,2012-03-20 15:24:04,0,3,f75a73a81ecf9e977a2b586bb648c4e1.jpg,5.6,800,400,15:24:04
+1.0,2012-03-22,2012-03-22 11:06:28,0,3,ace7148293f69b3b389fc81e43e15dba.jpg,5.6,800,400,11:06:28
+1.0,2013-02-26,2013-02-26 12:06:16,1,1,3cc5319902f2f7babb04579f253267dd.jpg,5.6,800,200,12:06:16
+1.0,2013-02-26,2013-02-26 12:35:47,1,1,6813b77bd86e2ad2b090a10cb3aed3dd.jpg,5.6,800,200,12:35:47
+1.0,2012-04-03,2012-04-03 11:11:25,0,3,c92cc11e9cfbddc5225ccf9800c8dab8.jpg,5.6,800,400,11:11:25
+1.0,2012-03-20,2012-03-20 13:57:31,0,3,271b697fe337a4f999101897f9c6d3e3.jpg,5.6,800,400,13:57:31
+1.0,2012-04-24,2012-04-24 09:45:15,0,3,59cf7abcbd22749bdb499ae2d4acfae1.jpg,5.6,800,400,09:45:15
+1.0,2012-04-03,2012-04-03 09:42:22,0,3,cf4c973dcabe30d7759b6972c79ce745.jpg,5.6,800,400,09:42:22
+1.0,2012-04-03,2012-04-03 11:09:25,0,3,34b5ae2f7075c2e192ea00de7dbe19a2.jpg,5.6,800,400,11:09:25
+1.0,2012-02-23,2012-02-23 14:56:09,0,3,3447ba7f63ee26d62f054b08eb9c9352.jpg,5.6,800,400,14:56:09
+1.0,2013-02-26,2013-02-26 12:15:27,1,1,3e060e9320a14f1b5c8eeae5ca7bbdfc.jpg,5.6,800,200,12:15:27
+1.0,2012-03-20,2012-03-20 12:32:15,0,3,b1bb9fc4aa005972c402bf81b2613551.jpg,5.6,800,400,12:32:15
+1.0,2013-01-29,2013-01-29 12:31:23,1,1,a4cc4875ca95536c544e5b658c5c3881.jpg,5.6,800,100,12:31:23
+1.0,2013-01-28,2013-01-28 12:41:42,1,1,79ed8c9a5018d4f9d2ef35aa39ab1763.jpg,5.6,800,100,12:41:42
+1.0,2012-03-06,2012-03-06 13:30:03,0,3,53b4fa3df8eaa9a9cf25b2733b0db361.jpg,5.6,800,400,13:30:03
+1.0,2012-04-03,2012-04-03 12:26:52,0,3,bdef1efbec893f980c2d33f1ae4f242d.jpg,5.6,800,400,12:26:52
+1.0,2012-03-20,2012-03-20 13:59:18,0,3,1f092acaea0b49704e659e0c216160ca.jpg,5.6,800,400,13:59:18
+1.0,2012-03-06,2012-03-06 13:32:00,0,3,8dddb87d9ae859224fdee9f57e78b1e9.jpg,5.6,800,400,13:32:00
+1.0,2012-04-03,2012-04-03 11:05:10,0,3,b181790a5b0b4c9eb3fcee6679595f64.jpg,5.6,800,400,11:05:10
+1.0,2013-01-29,2013-01-29 12:20:49,1,1,63a6ce2d25c1e4d4c22473e6ed481ad5.jpg,5.6,800,100,12:20:49
+1.0,2013-01-28,2013-01-28 12:40:43,1,1,a47283088023bcb6d3806cf0161015d2.jpg,5.6,800,100,12:40:43
+1.0,2013-02-20,2013-02-20 12:01:41,1,1,2569b49a5a16265c067d67374b1ae085.jpg,5.6,800,160,12:01:41
+1.0,2012-04-03,2012-04-03 12:34:42,0,3,701afa05c6b469148d1e2e103334df30.jpg,5.6,800,400,12:34:42
+1.0,2013-02-13,2013-02-13 13:14:11,1,1,dd9ff9f4bb670fba5f78bdbe39640779.jpg,5.6,800,100,13:14:11
+1.0,2013-02-20,2013-02-20 12:10:23,1,1,6261a4e9f63ff0e85e26ffd47e00b00a.jpg,5.6,800,200,12:10:23
+1.0,2012-04-03,2012-04-03 09:36:53,0,3,36fdf630e18da8ea8ed56c33e4e70cc0.jpg,5.6,800,400,09:36:53
+1.0,2012-04-03,2012-04-03 11:05:06,0,3,83d0209e0f166320f34abe610b0fe178.jpg,5.6,800,400,11:05:06
+1.0,2013-02-20,2013-02-20 12:14:48,1,1,f5e591c1b7e277e24fe09a7c122004fd.jpg,5.6,800,160,12:14:48
+1.0,2013-01-29,2013-01-29 12:27:53,1,1,d0005f4d0b36aedef5a3161d7c69c78d.jpg,5.6,800,100,12:27:53
+1.0,2013-01-29,2013-01-29 16:30:02,1,1,63bff956b87478c8b47021330caa5bc1.jpg,5.6,800,500,16:30:02
+1.0,2012-03-22,2012-03-22 11:04:47,0,3,7e0f5808573287c537a88e55495b5f88.jpg,5.6,800,400,11:04:47
+1.0,2013-02-13,2013-02-13 13:20:46,1,1,854e9d578a90b4ea4b96115e0461a144.jpg,5.6,800,100,13:20:46
+1.0,2012-03-13,2012-03-13 11:12:19,0,3,d59466a0af1950d9d634dbadebdb5191.jpg,5.6,800,400,11:12:19
+1.0,2012-04-03,2012-04-03 09:39:47,0,3,56943912f7336c20cc722a296a6a70c4.jpg,5.6,800,400,09:39:47
+1.0,2012-03-20,2012-03-20 13:58:49,0,3,bc9965f9f7864d494a1d7edea32f1bd9.jpg,5.6,800,400,13:58:49
+1.0,2013-01-29,2013-01-29 12:10:37,1,1,34ce64cc83199ba3a3a882ce722089af.jpg,5.6,800,100,12:10:37
+1.0,2012-03-22,2012-03-22 11:05:08,0,3,bbeb4d3bb25d9c9c08c4c41ed4d4ead3.jpg,5.6,800,400,11:05:08
+1.0,2012-03-08,2012-03-08 10:45:59,0,3,541235e43baea9a623432c366babe4ed.jpg,5.6,800,400,10:45:59
+1.0,2012-04-03,2012-04-03 09:43:57,0,3,c733f606c81a9e4dbce0b3bfe9f5be60.jpg,5.6,800,400,09:43:57
+1.0,2012-03-22,2012-03-22 11:04:09,0,3,a624bcd55d132cb46ca3a27469c0b0c2.jpg,5.6,800,400,11:04:09
+1.0,2012-03-20,2012-03-20 13:58:42,0,3,901478eee52b91023566c8e80df6168f.jpg,5.6,800,400,13:58:42
+1.0,2012-03-20,2012-03-20 15:23:09,0,3,1c848c1709cad06fcf406727416f71ea.jpg,5.6,800,400,15:23:09
+1.0,2012-03-20,2012-03-20 11:07:23,0,3,fc71e6d768c1fb5ea3e79ce452ab2938.jpg,5.6,800,400,11:07:23
+1.0,2012-03-20,2012-03-20 09:46:49,0,3,892a740a9831db96b74c103160aa17de.jpg,5.6,800,400,09:46:49
+1.0,2013-01-29,2013-01-29 12:10:43,1,1,b0848ca41bbe849023c77eeef0717599.jpg,5.6,800,100,12:10:43
+1.0,2012-04-03,2012-04-03 11:11:15,0,3,6457e577ea9e060d7328a259b67e5d27.jpg,5.6,800,400,11:11:15
+1.0,2012-03-20,2012-03-20 13:56:27,0,3,1517afd3e8bcc14fd82aad850fdef7f9.jpg,5.6,800,400,13:56:27
+1.0,2012-04-03,2012-04-03 09:45:04,0,3,1cefa38d2ddc551a55442f930535ee71.jpg,5.6,800,400,09:45:04
+1.0,2013-02-13,2013-02-13 12:48:05,1,1,5e0c021ba912e1d15226f1476cb4fede.jpg,5.6,800,100,12:48:05
+1.0,2013-01-28,2013-01-28 12:42:29,1,1,c1cce5bad216359f076ce02cdfa4d476.jpg,5.6,800,100,12:42:29
+1.0,2013-02-13,2013-02-13 12:20:45,1,1,ccace8a95e39c726bc8294e361e8d3c9.jpg,5.6,800,100,12:20:45
+1.0,2013-01-29,2013-01-29 16:33:50,1,1,a4292660fd619b7968b1384f3b6f19a4.jpg,5.6,800,640,16:33:50
+1.0,2012-04-03,2012-04-03 11:11:33,0,3,542c33e7a22ec77036ee08c739b35bc0.jpg,5.6,800,400,11:11:33
+1.0,2012-03-08,2012-03-08 12:10:59,0,3,ffa37105f248d45500b39cd9780cd0a4.jpg,5.6,800,400,12:10:59
+1.0,2012-04-03,2012-04-03 09:37:45,0,3,858eed118bdadb235009c7482ed28542.jpg,5.6,800,400,09:37:45
+1.0,2012-02-23,2012-02-23 14:58:34,0,3,ac971c562351b7fb3fea162b9d922580.jpg,5.6,800,400,14:58:34
+1.0,2013-02-26,2013-02-26 12:08:55,1,1,6d74d4d98100e6b0b9f8788664653892.jpg,5.6,800,200,12:08:55
+1.0,2013-02-13,2013-02-13 12:01:37,1,1,3650fdad023e28a2ee3ebcbc49f4e1ed.jpg,5.6,800,100,12:01:37
+1.0,2013-02-20,2013-02-20 12:17:42,1,1,3cb018236127417ca498a196d7b66ed3.jpg,5.6,800,100,12:17:42
+1.0,2013-02-26,2013-02-26 12:10:30,1,1,10966bcea54ee90b7adbbdced2b6a5b0.jpg,5.6,800,200,12:10:30
+1.0,2012-04-03,2012-04-03 11:11:34,0,3,eb9c530cd076b0895a1dbe6c47bbcf9d.jpg,5.6,800,400,11:11:34
+1.0,2012-02-23,2012-02-23 14:56:46,0,3,2f78841e6b7dad5012f5c7b9664807e8.jpg,5.6,800,400,14:56:46
+1.0,2012-03-06,2012-03-06 13:27:37,0,3,5b66bd6a9fd64c8b5ec06a6bfff570a2.jpg,5.6,800,400,13:27:37
+1.0,2012-04-03,2012-04-03 09:41:16,0,3,f85bc30a17725ada01d12102aeb1080e.jpg,5.6,800,400,09:41:16
+1.0,2013-02-26,2013-02-26 12:05:15,1,1,50b8ac8688fc71e81ab1bc74e6a3826a.jpg,5.6,800,160,12:05:15
+1.0,2013-02-19,2013-02-19 16:14:43,1,1,32da67d2b1362eca73f1bc315aa6343e.jpg,5.6,800,320,16:14:43
+1.0,2012-03-20,2012-03-20 12:33:02,0,3,fb50cb9d04411750393fc766f04710de.jpg,5.6,800,400,12:33:02
+1.0,2012-03-20,2012-03-20 12:32:04,0,3,97456d9cfdb2bbe69bd6d4a2043f72b5.jpg,5.6,800,400,12:32:04
+1.0,2013-01-28,2013-01-28 12:36:13,1,1,530e75fbceb613e714738fa24023264c.jpg,5.6,800,100,12:36:13
+1.0,2012-03-20,2012-03-20 15:24:02,0,3,04c25db1c459de97bb2e46485553fd8e.jpg,5.6,800,400,15:24:02
+1.0,2013-02-26,2013-02-26 12:04:41,1,1,8a6342444b75abb2588d3e710eb7d3f3.jpg,5.6,800,160,12:04:41
+1.0,2013-01-29,2013-01-29 12:15:40,1,1,32d1ba9aa8f72fbcd58d67a15b94d9c3.jpg,5.6,800,100,12:15:40
+1.0,2013-01-29,2013-01-29 16:30:54,1,1,c02d525f6d86325c05783a907f069735.jpg,5.6,800,320,16:30:54
+1.0,2012-04-03,2012-04-03 12:27:26,0,3,626c1c1f7d4e487c79620afa278f0a8e.jpg,5.6,800,400,12:27:26
+1.0,2013-02-19,2013-02-19 16:23:09,1,1,03eeadef301a25ac5ecda362787e0a96.jpg,5.6,800,320,16:23:09
+1.0,2013-01-29,2013-01-29 16:31:08,1,1,10fc0501c36c471b844eb9a3dbeb096d.jpg,5.6,800,500,16:31:08
+1.0,2013-02-20,2013-02-20 12:08:41,1,1,0e71c68422d0e6120bce81c146f92b54.jpg,5.6,800,200,12:08:41
+1.0,2013-02-19,2013-02-19 16:27:05,1,1,6ff356f8791c9a447ef6b0f9eaf1be2d.jpg,5.6,800,400,16:27:05
+1.0,2012-03-20,2012-03-20 13:58:33,0,3,023fc800fca9c5aed3fe2a4a16cf26aa.jpg,5.6,800,400,13:58:33
+1.0,2013-02-19,2013-02-19 16:19:05,1,1,8ee294ef840cdd162989c4eaadac3dfe.jpg,5.6,800,320,16:19:05
+1.0,2013-02-19,2013-02-19 16:29:02,1,1,c59f158edb6b4c80188b69a8bc894b85.jpg,5.6,800,320,16:29:02
+1.0,2013-02-20,2013-02-20 12:27:22,1,1,ad91698b8f1fc403d0f6367108ab512f.jpg,5.6,800,100,12:27:22
+1.0,2013-02-19,2013-02-19 16:21:36,1,1,951dc63acd8498ad7c5d3baa0e03713c.jpg,5.6,800,320,16:21:36
+1.0,2012-03-20,2012-03-20 15:24:31,0,3,35a8ec5148eb32f8d47412dc807c2046.jpg,5.6,800,400,15:24:31
+1.0,2012-03-20,2012-03-20 09:47:05,0,3,6881069d34fe1cddbf9cb2dddee2f061.jpg,5.6,800,400,09:47:05
+1.0,2012-04-03,2012-04-03 09:38:05,0,3,10bb3b643a0de93fc659df69b7a4c9c6.jpg,5.6,800,400,09:38:05
+1.0,2012-03-20,2012-03-20 15:24:12,0,3,b1278fde3254dd4fe3a81de4c2f2b89e.jpg,5.6,800,400,15:24:12
+1.0,2013-02-20,2013-02-20 12:19:30,1,1,4c8643269c897e7d57166406eb208881.jpg,5.6,800,100,12:19:30
+1.0,2013-02-13,2013-02-13 12:17:48,1,1,20085bb92d8c9f882d97c42fc1fe81f2.jpg,5.6,800,100,12:17:48
+1.0,2013-02-20,2013-02-20 12:22:02,1,1,bb708ac96a2152ee468d480ec6da354f.jpg,5.6,800,100,12:22:02
+1.0,2012-04-03,2012-04-03 09:37:43,0,3,99ed94523dd6270f3be5a32e4076a301.jpg,5.6,800,400,09:37:43
+1.0,2012-03-08,2012-03-08 14:57:24,0,3,bf22fafac6d57b5372196cbcab40d595.jpg,5.6,800,400,14:57:24
+1.0,2013-02-19,2013-02-19 16:34:20,1,1,265f8f69916a60b1b34e79788a782c2c.jpg,5.6,800,320,16:34:20
+1.0,2012-04-03,2012-04-03 11:11:20,0,3,af5f0add40ae439435987979296e5981.jpg,5.6,800,400,11:11:20
+1.0,2012-03-20,2012-03-20 15:24:30,0,3,bb7ac2b66e68e0acd0da83ee1d25e07c.jpg,5.6,800,400,15:24:30
+1.0,2013-01-28,2013-01-28 12:38:26,1,1,0a3779bcade3d2f5393e1f1e8a20dbc1.jpg,5.6,800,100,12:38:26
+1.0,2013-02-19,2013-02-19 16:26:36,1,1,e1989150f4f6434bf5b7d662f1ab2882.jpg,5.6,800,320,16:26:36
+1.0,2013-02-26,2013-02-26 12:31:40,1,1,ca9d1c0459f25b819662e855c4bdf4e2.jpg,5.6,800,200,12:31:40
+1.0,2013-01-29,2013-01-29 12:31:06,1,1,ff21a68738ed048b733cba03b5072fd9.jpg,5.6,800,100,12:31:06
+1.0,2013-02-20,2013-02-20 12:10:19,1,1,b92fdcdec48b8be81394188c51e0b241.jpg,5.6,800,160,12:10:19
+1.0,2013-02-20,2013-02-20 12:21:42,1,1,09214c2e1048121fb93d7a77becd3c5a.jpg,5.6,800,100,12:21:42
+1.0,2013-01-28,2013-01-28 12:38:08,1,1,9f46e9be584ccfb9a8fdd872eb3bea4d.jpg,5.6,800,100,12:38:08
+1.0,2013-01-29,2013-01-29 12:11:42,1,1,8cde19337539b8df383e1b0cfc9ac79a.jpg,5.6,800,100,12:11:42
+1.0,2013-01-29,2013-01-29 16:21:07,1,1,ac9d6344d15830fcf8fa2249d7f65a2c.jpg,5.6,800,400,16:21:07
+1.0,2013-02-13,2013-02-13 13:06:23,1,1,2ae899b801fb750bd9663a10f8ee788e.jpg,5.6,800,100,13:06:23
+1.0,2013-02-13,2013-02-13 12:13:51,1,1,ded3d2eedf0a2f06b693f8f0f09bc7b4.jpg,5.6,800,100,12:13:51
+1.0,2013-01-28,2013-01-28 12:33:39,1,1,1c62487e85f95b770f5a2f29e2be61ad.jpg,5.6,800,100,12:33:39
+1.0,2012-04-03,2012-04-03 09:35:48,0,3,aec8b135821692562161ff69fd42e3f2.jpg,5.6,800,400,09:35:48
+1.0,2013-01-29,2013-01-29 12:10:13,1,1,5e844b999401aec45b4e9529a76763a9.jpg,5.6,800,100,12:10:13
+1.0,2012-03-22,2012-03-22 11:11:00,0,3,57fdc2d9040a4e9cedcea37d7227f1c1.jpg,5.6,800,400,11:11:00
+1.0,2013-02-20,2013-02-20 12:34:02,1,1,21c2c98449186b9cdef1aa9ccbace603.jpg,5.6,800,100,12:34:02
+1.0,2012-03-06,2012-03-06 13:31:49,0,3,e7e29518d4bac70558af60a789b1eef9.jpg,5.6,800,400,13:31:49
+1.0,2012-03-06,2012-03-06 13:30:17,0,3,051124351d8be94337a076d8dbf759dd.jpg,5.6,800,400,13:30:17
+1.0,2013-02-19,2013-02-19 16:19:01,1,1,2671772a4388180561fdd8da5d15631f.jpg,5.6,800,320,16:19:01
+1.0,2013-02-20,2013-02-20 12:04:33,1,1,4ca7273ef5c1b17dc161808738a60445.jpg,5.6,800,160,12:04:33
+1.0,2013-01-29,2013-01-29 16:21:26,1,1,785741b7b8bb5a0718344a44e9d14866.jpg,5.6,800,200,16:21:26
+1.0,2012-03-20,2012-03-20 11:04:10,0,3,a7ec451fe3f891bf1579d661f5c485fb.jpg,5.6,800,400,11:04:10
+1.0,2013-02-20,2013-02-20 12:02:54,1,1,2e2740deba82d6648c733cddc97cfa92.jpg,5.6,800,160,12:02:54
+1.0,2012-04-03,2012-04-03 09:37:23,0,3,682f8b571f2db62b46652d0b10d69af9.jpg,5.6,800,400,09:37:23
+1.0,2013-02-13,2013-02-13 13:20:05,1,1,6226426570f3557dfc76e21eae1a8bd8.jpg,5.6,800,100,13:20:05
+1.0,2012-03-22,2012-03-22 14:00:11,0,3,2b42c6e9614039f3593c261d6a08b948.jpg,5.6,800,400,14:00:11
+1.0,2012-03-20,2012-03-20 12:33:47,0,3,c9dddb322a7613724f82935423052b80.jpg,5.6,800,400,12:33:47
+1.0,2012-04-03,2012-04-03 09:39:41,0,3,576883e675c122f0def0b9d58213454d.jpg,5.6,800,400,09:39:41
+1.0,2013-02-20,2013-02-20 12:14:41,1,1,70df7714cb4c3155cd7569190c430d01.jpg,5.6,800,125,12:14:41
+1.0,2013-02-20,2013-02-20 12:42:53,1,1,00fd5613489adeac8d3ec6f9c344b10f.jpg,5.6,800,100,12:42:53
+1.0,2013-01-29,2013-01-29 16:28:53,1,1,c151851c1331dc98a3ed8071f998bcd3.jpg,5.6,800,250,16:28:53
+1.0,2012-03-06,2012-03-06 13:28:03,0,3,7187b95ea0406670474f634d2c8ca77b.jpg,5.6,800,400,13:28:03
+1.0,2013-01-28,2013-01-28 12:42:48,1,1,2a4c557a27b21941d582bf541891400e.jpg,5.6,800,100,12:42:48
+1.0,2012-03-22,2012-03-22 11:09:55,0,3,246ac032682684a06de81e068e8be04f.jpg,5.6,800,400,11:09:55
+1.0,2013-02-20,2013-02-20 12:26:09,1,1,b8b79467cc40ab68961875c276adfed7.jpg,5.6,800,100,12:26:09
+1.0,2012-03-06,2012-03-06 13:30:06,0,3,76d40e04bc46ad7bfee58f9dfd85a5da.jpg,5.6,800,400,13:30:06
+1.0,2013-02-19,2013-02-19 16:28:09,1,1,a7f9032870fc51e4dd2caf2c3546ae8d.jpg,5.6,800,320,16:28:09
+1.0,2012-03-22,2012-03-22 11:04:55,0,3,6109062ed3013a55088fa4b6a68f28b2.jpg,5.6,800,400,11:04:55
+1.0,2013-02-20,2013-02-20 12:13:48,1,1,97a468a34faa223a857aa7633e19b327.jpg,5.6,800,125,12:13:48
+1.0,2013-02-19,2013-02-19 16:26:09,1,1,734bb7edc5053320fa11fdcf17eabf31.jpg,5.6,800,320,16:26:09
+1.0,2013-02-20,2013-02-20 12:25:27,1,1,894bcc884fd44d5343a505f1d8ff41e9.jpg,5.6,800,100,12:25:27
+1.0,2012-03-22,2012-03-22 11:04:02,0,3,a52eeada00cad7d5fc7a433ae687a9f1.jpg,5.6,800,400,11:04:02
+1.0,2013-02-20,2013-02-20 12:10:54,1,1,fd3596897a881a92727659a646fb90b3.jpg,5.6,800,200,12:10:54
+1.0,2013-02-13,2013-02-13 13:16:23,1,1,ee9caeadffd2662171bd3493fbab807c.jpg,5.6,800,100,13:16:23
+1.0,2012-04-03,2012-04-03 11:05:10,0,3,bebfcb7df5a3d81fdc5f7bc6f408cf2d.jpg,5.6,800,400,11:05:10
+1.0,2012-04-03,2012-04-03 11:06:27,0,3,75755ef2a71e2b3b32c5a3e8ece298e7.jpg,5.6,800,400,11:06:27
+1.0,2013-01-28,2013-01-28 12:36:06,1,1,4131048ca2df1f2096904daeae5ebf46.jpg,5.6,800,100,12:36:06
+1.0,2012-03-20,2012-03-20 12:34:32,0,3,a5e0d145bac77d34478255c92ba918f6.jpg,5.6,800,400,12:34:32
+1.0,2013-02-26,2013-02-26 12:04:23,1,1,147b2024bee823506801756ad4aa8a18.jpg,5.6,800,160,12:04:23
+1.0,2013-02-13,2013-02-13 12:19:59,1,1,eb225f889ef350465fe314814f95909a.jpg,5.6,800,100,12:19:59
+1.0,2012-04-03,2012-04-03 09:37:02,0,3,1a6002767113b1d75291b246cb79c73c.jpg,5.6,800,400,09:37:02
+1.0,2012-04-03,2012-04-03 11:11:37,0,3,c4d41cbe429c6e1a98d9524d33442a42.jpg,5.6,800,400,11:11:37
+1.0,2012-03-20,2012-03-20 13:57:23,0,3,af137d568787d2ea979ee638bb3a7711.jpg,5.6,800,400,13:57:23
+1.0,2013-02-26,2013-02-26 12:28:35,1,1,5167b01f8547d83b62789e8420d62323.jpg,5.6,800,200,12:28:35
+1.0,2013-01-28,2013-01-28 12:34:38,1,1,4083c8e9e58539f5770064ab3e678ad8.jpg,5.6,800,100,12:34:38
+1.0,2012-04-03,2012-04-03 12:31:59,0,3,12e4d61422d72e4032912f7c802b351f.jpg,5.6,800,400,12:31:59
+1.0,2012-04-03,2012-04-03 09:35:49,0,3,e2cd1980d23e1edcc5ebf9d5cc57f279.jpg,5.6,800,400,09:35:49
+1.0,2012-04-03,2012-04-03 11:06:56,0,3,91dcb6673df4c9c9ec7c2e7d8050fc90.jpg,5.6,800,400,11:06:56
+1.0,2013-02-19,2013-02-19 16:26:53,1,1,1b71500dbb24be08a2fe7d464c157a0c.jpg,5.6,800,400,16:26:53
+1.0,2013-02-19,2013-02-19 16:22:40,1,1,ff0eadf6fa88d2b983ff77e2d1b225b3.jpg,5.6,800,320,16:22:40
+1.0,2013-02-19,2013-02-19 16:23:18,1,1,4417877be157d63c872be8f9d8ec4e3a.jpg,5.6,800,500,16:23:18
+1.0,2013-02-19,2013-02-19 16:24:53,1,1,2093301bf1eb51b9aaf154f9ef88c6b0.jpg,5.6,800,400,16:24:53
+1.0,2013-02-20,2013-02-20 12:03:48,1,1,7ea4aa638bc02ebc118ed36cc6dfbf6e.jpg,5.6,800,200,12:03:48
+1.0,2013-02-19,2013-02-19 16:17:15,1,1,c07120c09520e5792aa6683d47ced36b.jpg,5.6,800,320,16:17:15
+1.0,2013-01-29,2013-01-29 12:17:29,1,1,5d49f613454a31d50cb00cfac93550a7.jpg,5.6,800,100,12:17:29
+1.0,2013-01-29,2013-01-29 16:33:46,1,1,2d872ba03fc0943a71f455fe9b352729.jpg,5.6,800,500,16:33:46
+1.0,2012-03-20,2012-03-20 13:58:36,0,3,a968bb3f68995fb29174c42567fd975f.jpg,5.6,800,400,13:58:36
+1.0,2013-02-26,2013-02-26 12:15:33,1,1,7b98335788dadcfadf2f97cdc56f7cc7.jpg,5.6,800,200,12:15:33
+1.0,2012-03-08,2012-03-08 12:10:10,0,3,48620708f3c3e303daab1b5c3477db95.jpg,5.6,800,400,12:10:10
+1.0,2012-03-20,2012-03-20 09:42:11,0,3,04cd0c2e6429fdc1e3f517f08e658c93.jpg,5.6,800,400,09:42:11
+1.0,2012-03-20,2012-03-20 12:33:57,0,3,51517bd3e4c5263346eb5dc4a8ca0e69.jpg,5.6,800,400,12:33:57
+1.0,2012-03-08,2012-03-08 10:48:14,0,3,4c10a4c9d315d022ccb5c9c93eb55b48.jpg,5.6,800,400,10:48:14
+1.0,2013-02-26,2013-02-26 12:21:23,1,1,704c2672345140e0448ca38aa500f647.jpg,5.6,800,200,12:21:23
+1.0,2013-02-19,2013-02-19 16:26:13,1,1,48720308eea5eb2aa30d37efca3c645e.jpg,5.6,800,320,16:26:13
+1.0,2012-04-26,2012-04-26 12:35:19,0,3,f87ca1c711cf19c55f28567819ab6e17.jpg,5.6,800,400,12:35:19
+1.0,2013-02-20,2013-02-20 12:09:30,1,1,061d7dae551b53d304faaef1e7360f2f.jpg,5.6,800,250,12:09:30
+1.0,2013-01-29,2013-01-29 16:29:10,1,1,127bdc794d919dbedb35b7ff94fc47aa.jpg,5.6,800,250,16:29:10
+1.0,2013-02-19,2013-02-19 16:31:44,1,1,11003de85bccb8891459e18332b4cfc1.jpg,5.6,800,320,16:31:44
+1.0,2012-03-13,2012-03-13 11:09:43,0,3,30926c02b90d6832cf005eda9212c1bb.jpg,5.6,800,400,11:09:43
+1.0,2012-04-03,2012-04-03 12:34:46,0,3,dcf4ad654eb8548878e93e703b0e1b2d.jpg,5.6,800,400,12:34:46
+1.0,2013-02-19,2013-02-19 16:34:31,1,1,d3213882705371407933b64fc286143a.jpg,5.6,800,320,16:34:31
+1.0,2013-02-20,2013-02-20 12:24:28,1,1,c0326abf6b7dc80287f7e8f2aab77b8f.jpg,5.6,800,100,12:24:28
+1.0,2013-02-26,2013-02-26 12:12:25,1,1,6c2d9e838fe8f06dc38f3170206a0796.jpg,5.6,800,200,12:12:25
+1.0,2013-02-26,2013-02-26 12:23:28,1,1,482c36c7c8faf1563bc397b088a35c79.jpg,5.6,800,200,12:23:28
+1.0,2013-02-19,2013-02-19 16:17:09,1,1,848016a3c36d0b4b5f4db98efbd6d6a7.jpg,5.6,800,320,16:17:09
+1.0,2013-01-28,2013-01-28 12:42:41,1,1,61953dd47f3488a01e70b02d66865049.jpg,5.6,800,100,12:42:41
+1.0,2012-04-03,2012-04-03 09:44:37,0,3,f6b22a213869ccb0466fa2b7b9cfb27f.jpg,5.6,800,400,09:44:37
+1.0,2012-03-20,2012-03-20 13:58:31,0,3,305abc787ee3348fd69741935f93a978.jpg,5.6,800,400,13:58:31
+1.0,2013-01-28,2013-01-28 12:39:54,1,1,2024e9f54c26861e186dcd492fd96a44.jpg,5.6,800,100,12:39:54
+1.0,2012-04-03,2012-04-03 09:35:52,0,3,3983a04fb5784733b3d6c83bcce6cd14.jpg,5.6,800,400,09:35:52
+1.0,2013-01-29,2013-01-29 12:30:57,1,1,74ec4114c20ba124c69f36c60362a9c3.jpg,5.6,800,100,12:30:57
+1.0,2013-01-28,2013-01-28 12:40:47,1,1,6f51a94253800bf52e8e11de196f8ac5.jpg,5.6,800,100,12:40:47
+1.0,2013-02-19,2013-02-19 16:18:13,1,1,cdda9b13e99086564f49adf5e6ad18c1.jpg,5.6,800,320,16:18:13
+1.0,2013-02-26,2013-02-26 12:19:15,1,1,355dbc293038c486ee2256cadcd5161b.jpg,5.6,800,200,12:19:15
+1.0,2013-02-19,2013-02-19 16:32:25,1,1,5f8123aef60777245419f59120634a62.jpg,5.6,800,320,16:32:25
+1.0,2012-03-20,2012-03-20 11:09:30,0,3,1320178e600f5f159b335aca916db69c.jpg,5.6,800,400,11:09:30
+1.0,2013-02-19,2013-02-19 16:33:46,1,1,c7918540ebdce4d5b35b05f803d92f05.jpg,5.6,800,400,16:33:46
+1.0,2013-02-19,2013-02-19 16:20:01,1,1,8b49c9f365f2151ec5caf0082250a3f4.jpg,5.6,800,320,16:20:01
+1.0,2012-03-22,2012-03-22 11:09:39,0,3,ecf7f768a70b05f2fbc35d436dcfb5af.jpg,5.6,800,400,11:09:39
+1.0,2012-03-20,2012-03-20 13:56:28,0,3,8e94cfb4d17cf050d063cb670c9d2840.jpg,5.6,800,400,13:56:28
+1.0,2012-04-03,2012-04-03 11:08:07,0,3,266e3c8eb4ed5ffd51e74cdc95251bc0.jpg,5.6,800,400,11:08:07
+1.0,2013-02-19,2013-02-19 16:21:37,1,1,a2d453523de536838613c467a510f66e.jpg,5.6,800,320,16:21:37
+1.0,2012-04-03,2012-04-03 11:04:05,0,3,8f81ef187f4e1f735b1c2047bf65e951.jpg,5.6,800,400,11:04:05
+1.0,2012-03-08,2012-03-08 14:58:07,0,3,4801892c66c91686a7918a7295995026.jpg,5.6,800,400,14:58:07
+1.0,2013-02-20,2013-02-20 12:25:07,1,1,2c71efdd6d9080fccf46823291d4cdd6.jpg,5.6,800,100,12:25:07
+1.0,2013-02-19,2013-02-19 16:25:31,1,1,e455ab7b48540995c57327a55a11d45f.jpg,5.6,800,320,16:25:31
+1.0,2012-03-22,2012-03-22 11:08:43,0,3,45c14ed61d2e239ba5fd95baedae1b1d.jpg,5.6,800,400,11:08:43
+1.0,2013-02-20,2013-02-20 12:09:05,1,1,877ec9a3b918a2216e106cf113084efd.jpg,5.6,800,160,12:09:05
+1.0,2012-03-20,2012-03-20 13:57:58,0,3,adac7719d863f393a72397a92a8d656c.jpg,5.6,800,400,13:57:58
+1.0,2012-03-08,2012-03-08 12:10:10,0,3,493f59b1b7b84fa30aeb17e54dee97b1.jpg,5.6,800,400,12:10:10
+1.0,2013-02-13,2013-02-13 13:27:01,1,1,b4bfc4fbf83b7aedf07ba4d4a9c93949.jpg,5.6,800,100,13:27:01
+1.0,2012-04-03,2012-04-03 09:35:51,0,3,bbfead99eaddd0db6a46a81cb1d8d394.jpg,5.6,800,400,09:35:51
+1.0,2012-03-08,2012-03-08 12:12:07,0,3,6696bc3b9a06dc931ce685a77abbcb94.jpg,5.6,800,400,12:12:07
+1.0,2013-02-19,2013-02-19 16:31:40,1,1,f170f4177a225c025c68bda2a85ce70c.jpg,5.6,800,320,16:31:40
+1.0,2012-03-20,2012-03-20 12:34:31,0,3,1ffa49cbef8c4be3fcdc01b23f84bfd5.jpg,5.6,800,400,12:34:31
+1.0,2013-02-20,2013-02-20 12:21:26,1,1,3853bd5b4110865cdb8f052a27f7f69a.jpg,5.6,800,100,12:21:26
+1.0,2012-04-03,2012-04-03 11:13:08,0,3,fb79d0aa1f282ee846b7b6572141b791.jpg,5.6,800,400,11:13:08
+1.0,2013-01-29,2013-01-29 16:31:41,1,1,5bb0f3fa60c8532686c9ac7f11c01aa5.jpg,5.6,800,500,16:31:41
+1.0,2012-03-22,2012-03-22 13:57:55,0,3,9694ef1d70c8b92b7445d3ff5a1ec008.jpg,5.6,800,400,13:57:55
+1.0,2013-01-29,2013-01-29 12:12:47,1,1,5e61dcbd62446e115da8d357dec7c398.jpg,5.6,800,100,12:12:47
+1.0,2013-01-29,2013-01-29 16:33:22,1,1,ac700f94d6f27b05e933985fe2959336.jpg,5.6,800,320,16:33:22
+1.0,2013-01-29,2013-01-29 12:07:36,1,1,e14b45f52b25daeaf04a15ea976aba29.jpg,5.6,800,100,12:07:36
+1.0,2013-02-20,2013-02-20 12:19:30,1,1,0883c1525a0ce9e41b722528062ec39d.jpg,5.6,800,100,12:19:30
+1.0,2012-04-03,2012-04-03 12:30:45,0,3,51213d968b789ddc07cf5107a6390ddb.jpg,5.6,800,400,12:30:45
+1.0,2013-02-19,2013-02-19 16:28:32,1,1,b0e0ad1a7865cfe2ed4254d49779f2f1.jpg,5.6,800,320,16:28:32
+1.0,2013-01-28,2013-01-28 12:33:23,1,1,ef7afb1053a40572f84f01a15be0d5aa.jpg,5.6,800,100,12:33:23
+1.0,2012-04-03,2012-04-03 09:44:39,0,3,228ec1bd116852b0b2ecdfedddb6374f.jpg,5.6,800,400,09:44:39
+1.0,2013-01-29,2013-01-29 12:31:18,1,1,05bc12edecb247a0b75e5816e98d5a81.jpg,5.6,800,100,12:31:18
+1.0,2013-02-20,2013-02-20 12:09:33,1,1,63e045047a2d94909e9f39be8aa2acc0.jpg,5.6,800,160,12:09:33
+1.0,2013-02-19,2013-02-19 16:14:31,1,1,a3ef3af23f462ae6ec48e0c4eac0e998.jpg,5.6,800,320,16:14:31
+1.0,2013-02-26,2013-02-26 12:04:54,1,1,d03b285d5a62da4d6328e6f96e46ca76.jpg,5.6,800,160,12:04:54
+1.0,2013-01-28,2013-01-28 12:41:38,1,1,35037fc21874639b3457746aad0464a3.jpg,5.6,800,100,12:41:38
+1.0,2013-01-29,2013-01-29 16:22:54,1,1,3429dd630bfe33f552a297d45f848425.jpg,5.6,800,320,16:22:54
+1.0,2012-04-03,2012-04-03 11:12:39,0,3,d65240eeb1158652f40d8c7d0e9b9c84.jpg,5.6,800,400,11:12:39
+1.0,2012-03-20,2012-03-20 15:23:32,0,3,aadf1c8c58c51e84c5b32d38131d2e36.jpg,5.6,800,400,15:23:32
+1.0,2012-04-03,2012-04-03 11:06:33,0,3,ac9fefbeac29e5a201a2d760cb363917.jpg,5.6,800,400,11:06:33
+1.0,2013-02-13,2013-02-13 12:51:35,1,1,ebeb93be9a324c4d8b408da9f0ed580b.jpg,5.6,800,100,12:51:35
+1.0,2013-01-29,2013-01-29 12:12:41,1,1,c2937c4696fb3a98d2ce562d8f3954d7.jpg,5.6,800,100,12:12:41
+1.0,2012-03-20,2012-03-20 09:41:12,0,3,8a19a2bb5443db3b4baa4869c525bf08.jpg,5.6,800,400,09:41:12
+1.0,2012-03-22,2012-03-22 11:06:00,0,3,ad5963624506df9accd11561fc70c73f.jpg,5.6,800,400,11:06:00
+1.0,2013-01-29,2013-01-29 12:11:42,1,1,abfe59d5318689a5f9f06cc33f771cf8.jpg,5.6,800,100,12:11:42
+1.0,2013-02-13,2013-02-13 13:14:55,1,1,71be7984d8206724be3d742fe3abda0c.jpg,5.6,800,100,13:14:55
+1.0,2013-01-29,2013-01-29 12:12:17,1,1,306c10506b561ffe9602fc4f5d710c22.jpg,5.6,800,100,12:12:17
+1.0,2013-02-20,2013-02-20 12:03:47,1,1,ae41f15554bd462c2a0e8153d9108c8d.jpg,5.6,800,200,12:03:47
+1.0,2013-02-19,2013-02-19 16:26:26,1,1,803450691b6bc735642563a84bfbad06.jpg,5.6,800,320,16:26:26
+1.0,2013-01-29,2013-01-29 12:07:41,1,1,ebc33b9df7c2614c65f0eb0ac4c5488a.jpg,5.6,800,100,12:07:41
+1.0,2012-04-03,2012-04-03 11:08:36,0,3,fed410c4386f715671f9322821bfa9a5.jpg,5.6,800,400,11:08:36
+1.0,2012-04-03,2012-04-03 12:37:56,0,3,37fe2f07163d7975a99e9f507ff97a89.jpg,5.6,800,400,12:37:56
+1.0,2012-03-20,2012-03-20 13:58:43,0,3,0a645948d232499eb30686d59ac001d8.jpg,5.6,800,400,13:58:43
+1.0,2013-01-29,2013-01-29 16:23:54,1,1,3b8ea6fbb7aafe3e57d06eb65d3a0c38.jpg,5.6,800,640,16:23:54
+1.0,2012-03-20,2012-03-20 13:59:20,0,3,8a930cbb854daefa848f95c2f6372748.jpg,5.6,800,400,13:59:20
+1.0,2013-01-29,2013-01-29 16:27:28,1,1,43557cd6aadd11c63c7139f760f738b0.jpg,5.6,800,320,16:27:28
+1.0,2013-02-19,2013-02-19 16:14:48,1,1,0dcb974fbbe15d2190f87f2fd4a12c68.jpg,5.6,800,320,16:14:48
+1.0,2012-03-20,2012-03-20 12:32:12,0,3,5a505443df556b80ebf62d859dc0ec84.jpg,5.6,800,400,12:32:12
+1.0,2013-01-28,2013-01-28 12:42:48,1,1,90b9c1b68412b472fc56bd6db5c39b1b.jpg,5.6,800,100,12:42:48
+1.0,2013-02-13,2013-02-13 13:22:34,1,1,6d408f0b7fe95b5e9fcae42ee99d047d.jpg,5.6,800,100,13:22:34
+1.0,2013-01-28,2013-01-28 12:42:33,1,1,6094d49de3658daea9a3e9dde108d2e3.jpg,5.6,800,100,12:42:33
+1.0,2013-01-28,2013-01-28 12:41:47,1,1,9b0f30f73e14f4746fe4ce4bb8cc70af.jpg,5.6,800,100,12:41:47
+1.0,2013-02-13,2013-02-13 12:04:16,1,1,de6ebca9312b28a8c5fc1573751f153d.jpg,5.6,800,100,12:04:16
+1.0,2013-02-13,2013-02-13 12:46:03,1,1,2e1774a5d678cc0fa59f009280a6c20e.jpg,5.6,800,100,12:46:03
+1.0,2013-02-20,2013-02-20 12:07:04,1,1,d9380380eea71588cd7ccba716d958ad.jpg,5.6,800,160,12:07:04
+1.0,2013-01-29,2013-01-29 12:33:13,1,1,cf02f5086b71568b5b0e483bfe7b8992.jpg,5.6,800,100,12:33:13
+1.0,2013-01-28,2013-01-28 12:38:54,1,1,dcf994a29dc8f9768f7356a0123ddeef.jpg,5.6,800,100,12:38:54
+1.0,2012-03-20,2012-03-20 12:32:50,0,3,cf2bce6de51a154d6177bccb47c5dde1.jpg,5.6,800,400,12:32:50
+1.0,2013-01-29,2013-01-29 12:27:46,1,1,9ed2c32d3a372529840ac474e96d03c2.jpg,5.6,800,100,12:27:46
+1.0,2013-01-28,2013-01-28 12:34:08,1,1,7ff93672c3d6198cff53d59652e5c714.jpg,5.6,800,100,12:34:08
+1.0,2013-01-28,2013-01-28 12:33:18,1,1,6cf7e152c5c42ce2ed848ca6662bce63.jpg,5.6,800,100,12:33:18
+1.0,2012-03-20,2012-03-20 15:23:11,0,3,77470bb1931dda019e40851cfe4752ce.jpg,5.6,800,400,15:23:11
+1.0,2012-02-23,2012-02-23 14:56:12,0,3,597e77fec40e0673be5847377062cef3.jpg,5.6,800,400,14:56:12
+1.0,2012-03-20,2012-03-20 12:31:40,0,3,48df7f4d29e7b7a42facade2a1be7994.jpg,5.6,800,400,12:31:40
+1.0,2012-02-23,2012-02-23 14:56:52,0,3,d8acce1a8e068ba54bcf00c855280808.jpg,5.6,800,400,14:56:52
+1.0,2012-03-08,2012-03-08 10:43:50,0,3,e10f945c8e1e49d5dd90f49df379588d.jpg,5.6,800,400,10:43:50
+1.0,2013-01-29,2013-01-29 16:21:35,1,1,532b1bd0407fdd7e0371a621c61e1db2.jpg,5.6,800,250,16:21:35
+1.0,2013-02-20,2013-02-20 12:21:47,1,1,b55184eb8e04c22695332f86a09fda15.jpg,5.6,800,100,12:21:47
+1.0,2013-01-28,2013-01-28 12:41:39,1,1,22aa977b6780ea1d2d44fdc86065e377.jpg,5.6,800,100,12:41:39
+1.0,2012-03-08,2012-03-08 10:47:44,0,3,2917bf6ddf76ff5f1ed52aac43b7e8fe.jpg,5.6,800,400,10:47:44
+1.0,2013-01-28,2013-01-28 12:40:44,1,1,620b4f18c35c47291ba431cc1cd675c6.jpg,5.6,800,100,12:40:44
+1.0,2012-04-03,2012-04-03 09:37:50,0,3,c1e57dfd31f317f47f9d5ffd8cb540b8.jpg,5.6,800,400,09:37:50
+1.0,2012-03-20,2012-03-20 09:42:23,0,3,5d9d04a533a9bf35b00d90f9feb08000.jpg,5.6,800,400,09:42:23
+1.0,2013-02-19,2013-02-19 16:14:44,1,1,2094c2eb2f09e77c3791e74aa05b2659.jpg,5.6,800,250,16:14:44
+1.0,2012-03-13,2012-03-13 11:08:59,0,3,c1d93b1c45da0da29bdefe50c20a04bf.jpg,5.6,800,400,11:08:59
+1.0,2012-04-03,2012-04-03 09:44:03,0,3,fe57399240e074553aa670780b70ba7b.jpg,5.6,800,400,09:44:03
+1.0,2013-01-29,2013-01-29 16:34:31,1,1,d9ca796eb8d26cbc5fb0e94cec32374f.jpg,5.6,800,320,16:34:31
+1.0,2013-01-28,2013-01-28 12:37:46,1,1,7e31d9250a8b8e30ae26f0012378db33.jpg,5.6,800,100,12:37:46
+1.0,2013-01-29,2013-01-29 12:14:36,1,1,ccce9521ae939958f764a4ddb158a50d.jpg,5.6,800,100,12:14:36
+1.0,2013-01-28,2013-01-28 12:41:42,1,1,11ffca892855607abb9d086a7b592118.jpg,5.6,800,100,12:41:42
+1.0,2012-03-08,2012-03-08 10:47:24,0,3,c3dcbbe1b4e2c640b824c93f907571dd.jpg,5.6,800,400,10:47:24
+1.0,2013-01-29,2013-01-29 16:24:40,1,1,0bb90ccae2633f2f8f6a0d3b0d4b6db5.jpg,5.6,800,400,16:24:40
+1.0,2012-03-08,2012-03-08 10:47:22,0,3,ff722d718264140fb801c6e7da7a8729.jpg,5.6,800,400,10:47:22
+1.0,2013-02-20,2013-02-20 12:44:51,1,1,8de0acb9aa44c93643b4e5146e6d1117.jpg,5.6,800,100,12:44:51
+1.0,2013-01-28,2013-01-28 12:42:14,1,1,b32e28262a502ea8031cdbff57c85775.jpg,5.6,800,100,12:42:14
+1.0,2013-01-29,2013-01-29 16:33:06,1,1,82cc507561b58b9db589c1215a6ebd75.jpg,5.6,800,320,16:33:06
+1.0,2012-03-20,2012-03-20 11:07:48,0,3,a3f92d9ad37a540641d823af7e383d29.jpg,5.6,800,400,11:07:48
+1.0,2013-02-13,2013-02-13 12:33:25,1,1,8b6b44da6dc6e9dfbff74c20758f2f92.jpg,5.6,800,100,12:33:25
+1.0,2013-02-19,2013-02-19 16:23:19,1,1,838fd14071347d69dbdf331a6b466f9d.jpg,5.6,800,400,16:23:19
+1.0,2013-01-28,2013-01-28 12:37:12,1,1,ed8128a8c102d78f18a386bcd30846ea.jpg,5.6,800,100,12:37:12
+1.0,2012-04-03,2012-04-03 09:41:53,0,3,512405e8cf543787ef54dbf1060831b0.jpg,5.6,800,400,09:41:53
+1.0,2013-01-29,2013-01-29 16:31:45,1,1,39ca5166dfa64e66d382f0a4a1d46081.jpg,5.6,800,320,16:31:45
+1.0,2013-01-28,2013-01-28 12:42:38,1,1,64cd66d977ad1172a77e167a76d377f6.jpg,5.6,800,100,12:42:38
+1.0,2013-02-20,2013-02-20 12:06:58,1,1,623858977c28033eba8de337c2ddb105.jpg,5.6,800,200,12:06:58
+1.0,2013-01-28,2013-01-28 12:42:30,1,1,43ef1e1b719cbcc6be640629d4035980.jpg,5.6,800,100,12:42:30
+1.0,2013-01-29,2013-01-29 12:15:08,1,1,f43fd0a7bc29c01ad924eb42dbb0d686.jpg,5.6,800,100,12:15:08
+1.0,2012-03-06,2012-03-06 13:30:08,0,3,f2e52d660949969069e34259c939ff13.jpg,5.6,800,400,13:30:08
+1.0,2013-01-29,2013-01-29 12:07:38,1,1,c70d169ba5c75e5078b4b975193341d9.jpg,5.6,800,100,12:07:38
+1.0,2013-01-29,2013-01-29 16:24:54,1,1,1457c28998aa10e2d761634977ead269.jpg,5.6,800,400,16:24:54
+1.0,2013-02-20,2013-02-20 12:44:45,1,1,6fae89808f27b140a1cb809c67775c33.jpg,5.6,800,100,12:44:45
+1.0,2013-01-29,2013-01-29 16:31:29,1,1,9344bcae9b5cebedbc372d2d2d54c358.jpg,5.6,800,640,16:31:29
+1.0,2013-01-28,2013-01-28 12:33:04,1,1,7e00ae71545af73cf62b2f9d1ab87599.jpg,5.6,800,100,12:33:04
+1.0,2013-01-28,2013-01-28 12:38:08,1,1,8dab67d9cf390cc764e63faa81946ad1.jpg,5.6,800,100,12:38:08
+1.0,2012-04-03,2012-04-03 12:33:45,0,3,cee3c036718137ad7ac1a45e65940132.jpg,5.6,800,400,12:33:45
+1.0,2013-01-29,2013-01-29 16:24:56,1,1,ebb30e9216681087a50bad4978296cb0.jpg,5.6,800,250,16:24:56
+1.0,2013-01-28,2013-01-28 12:41:20,1,1,2598c35586f512841f21df6de00c45f1.jpg,5.6,800,100,12:41:20
+1.0,2012-03-20,2012-03-20 11:05:52,0,3,a462e3f03dbbb7443599c16156819b85.jpg,5.6,800,400,11:05:52
+1.0,2013-02-13,2013-02-13 12:28:36,1,1,28ab429a4988473dd72075d4bb281441.jpg,5.6,800,100,12:28:36
+1.0,2012-03-06,2012-03-06 13:31:27,0,3,9608c6661fcbc80d3957efcc40a41281.jpg,5.6,800,400,13:31:27
+1.0,2012-04-03,2012-04-03 09:42:26,0,3,e21dd921cbec3d46d9f55714c39419d8.jpg,5.6,800,400,09:42:26
+1.0,2012-03-20,2012-03-20 11:08:11,0,3,63ac62d816631d68a80f2660c76716dd.jpg,5.6,800,400,11:08:11
+1.0,2013-02-20,2013-02-20 12:36:03,1,1,1465076dff5f281a0abf0fdabe5df74c.jpg,5.6,800,100,12:36:03
+1.0,2013-02-20,2013-02-20 12:22:25,1,1,59cd104445c8bd001755a979e50e6cdd.jpg,5.6,800,100,12:22:25
+1.0,2013-01-29,2013-01-29 16:34:23,1,1,f85ccad73fe30f210b025351cf9f14bb.jpg,5.6,800,640,16:34:23
+1.0,2012-03-20,2012-03-20 13:58:51,0,3,eefd4306aecf372d651ef97f62ccf9c2.jpg,5.6,800,400,13:58:51
+1.0,2012-03-20,2012-03-20 12:35:06,0,3,c8a37a7192cb4f77dab9bc5f0939e8c1.jpg,5.6,800,400,12:35:06
+1.0,2013-01-29,2013-01-29 16:28:00,1,1,d8aa2d535031b5a3d34dc6a93154f8f5.jpg,5.6,800,400,16:28:00
+1.0,2013-02-20,2013-02-20 12:44:43,1,1,97680d6944e64197da1402a6260d289d.jpg,5.6,800,100,12:44:43
+1.0,2013-01-28,2013-01-28 12:41:56,1,1,5eeec44f0095d9bf30d08c1fe6fced2f.jpg,5.6,800,100,12:41:56
+1.0,2013-01-29,2013-01-29 12:11:54,1,1,36d7bc5bf7cc4b6994542222c3999c7f.jpg,5.6,800,100,12:11:54
+1.0,2012-04-03,2012-04-03 09:42:44,0,3,c82524b4ad5dd3fae5f3820b432cbb6b.jpg,5.6,800,400,09:42:44
+1.0,2012-04-03,2012-04-03 12:36:15,0,3,5dabf752c1ca64d9fa76c6626d76d0ee.jpg,5.6,800,400,12:36:15
+1.0,2012-03-20,2012-03-20 12:30:37,0,3,29371d0a54cb8c802d6cb49c663701bc.jpg,5.6,800,400,12:30:37
+1.0,2013-02-20,2013-02-20 12:45:31,1,1,5253465ef9305222a6bb23bfcbebe38b.jpg,5.6,800,100,12:45:31
+1.0,2012-04-03,2012-04-03 09:38:18,0,3,f47fe922afcf883d69a5491c895140ba.jpg,5.6,800,400,09:38:18
+1.0,2012-02-23,2012-02-23 14:55:19,0,3,44cf4f104a5be96a6f67f03410786b27.jpg,5.6,800,400,14:55:19
+1.0,2013-02-20,2013-02-20 12:04:11,1,1,88925c3821ef9ef5a341ab09ad84d1d5.jpg,5.6,800,200,12:04:11
+1.0,2013-01-29,2013-01-29 16:26:54,1,1,a416857d1b5c542201d4e297819d72d2.jpg,5.6,800,250,16:26:54
+1.0,2013-02-26,2013-02-26 12:16:10,1,1,3edc60136842dea07ef915d0b735c97c.jpg,5.6,800,160,12:16:10
+1.0,2012-04-03,2012-04-03 11:05:08,0,3,2d1a76564090d063c79a45972439561b.jpg,5.6,800,400,11:05:08
+1.0,2012-03-08,2012-03-08 12:10:22,0,3,fc16df14cc71770ad7fbae268ddb2620.jpg,5.6,800,400,12:10:22
+1.0,2012-03-08,2012-03-08 12:13:13,0,3,fb176477674fb1bf4ed05410dd11a88b.jpg,5.6,800,400,12:13:13
+1.0,2013-02-13,2013-02-13 12:09:39,1,1,95ad97ef775ec45638dc26f14e3ecdee.jpg,5.6,800,100,12:09:39
+1.0,2012-04-03,2012-04-03 09:36:56,0,3,af081e194a17bc757056cb5abc96dca2.jpg,5.6,800,400,09:36:56
+1.0,2013-01-29,2013-01-29 12:16:24,1,1,cb9f67804777ff82d493a7df2d17fac2.jpg,5.6,800,100,12:16:24
+1.0,2013-02-20,2013-02-20 12:08:39,1,1,b120103383d68323c0d9b2b88f5aadb7.jpg,5.6,800,250,12:08:39
+1.0,2013-02-19,2013-02-19 16:21:37,1,1,12376580803feb226a1c2efdc329b689.jpg,5.6,800,250,16:21:37
+1.0,2013-02-26,2013-02-26 12:04:34,1,1,f5ccbfd13c73e7dbd033cbade35572c0.jpg,5.6,800,160,12:04:34
+1.0,2013-02-13,2013-02-13 13:17:21,1,1,7aadef01a33c12a0585dd11f47297a8a.jpg,5.6,800,100,13:17:21
+1.0,2013-01-28,2013-01-28 12:33:24,1,1,8a18227e689d19a66a6c0ee7abb78193.jpg,5.6,800,100,12:33:24
+1.0,2013-01-28,2013-01-28 12:38:48,1,1,1d7b2959f94ff1a322181bdd74cd6bcc.jpg,5.6,800,100,12:38:48
+1.0,2012-03-08,2012-03-08 12:12:29,0,3,4e84a476c1817ae7181100fc3fd31a5d.jpg,5.6,800,400,12:12:29
+1.0,2013-02-20,2013-02-20 12:32:22,1,1,02e3faa3a9d8e37911541cb9e027996f.jpg,5.6,800,100,12:32:22
+1.0,2013-01-28,2013-01-28 12:34:16,1,1,6b221da259f12c2db8183cf01f0cc087.jpg,5.6,800,100,12:34:16
+1.0,2012-03-22,2012-03-22 11:08:21,0,3,d9d2fa9f71a4aca71aa10e6b6878d78c.jpg,5.6,800,400,11:08:21
+1.0,2012-03-22,2012-03-22 11:06:23,0,3,7347497a39ae21d8038f647f68ba12e4.jpg,5.6,800,400,11:06:23
+1.0,2013-01-28,2013-01-28 12:35:31,1,1,9c10747085293d08a8dd4c79a846d61b.jpg,5.6,800,100,12:35:31
+1.0,2013-02-20,2013-02-20 12:13:13,1,1,22e0c9292c05c80e1b25651fe55c57fa.jpg,5.6,800,125,12:13:13
+1.0,2013-01-29,2013-01-29 12:21:02,1,1,06cb224c1e8af5e39c09b2e854e37fa2.jpg,5.6,800,100,12:21:02
+1.0,2013-02-26,2013-02-26 12:30:08,1,1,c6045115ed119e9ddf35f1653f719512.jpg,5.6,800,200,12:30:08
+1.0,2013-01-28,2013-01-28 12:41:40,1,1,d9e2974de0cbee58e67da47a83fbbe0e.jpg,5.6,800,100,12:41:40
+1.0,2013-02-20,2013-02-20 12:25:10,1,1,148e3c09b34a98947864dde54dde2c98.jpg,5.6,800,100,12:25:10
+1.0,2013-01-28,2013-01-28 12:40:46,1,1,e5dfec64a4a3dff7c837f75c5f11f73d.jpg,5.6,800,100,12:40:46
+1.0,2012-03-20,2012-03-20 09:45:08,0,3,decf207d8bc6f95a64c87ed1c74c91d5.jpg,5.6,800,400,09:45:08
+1.0,2012-04-03,2012-04-03 11:11:37,0,3,860a261c0137613a4cf615a09b4e4967.jpg,5.6,800,400,11:11:37
+1.0,2012-03-20,2012-03-20 09:45:58,0,3,3f44d115c6fbe583b7e316b9d8890044.jpg,5.6,800,400,09:45:58
+1.0,2012-03-20,2012-03-20 13:56:57,0,3,a3d51eacf48ebf886247065c7436ebbc.jpg,5.6,800,400,13:56:57
+1.0,2013-01-28,2013-01-28 12:38:49,1,1,ba2db5c48a5ade8221ea1198b2f09301.jpg,5.6,800,100,12:38:49
+1.0,2013-01-28,2013-01-28 12:41:43,1,1,8984097e4884c353e21801826b60909e.jpg,5.6,800,100,12:41:43
+1.0,2013-02-13,2013-02-13 12:14:47,1,1,2d90139ede5f13d87f9dceec6ecc05cd.jpg,5.6,800,100,12:14:47
+1.0,2012-04-03,2012-04-03 11:05:51,0,3,bc2eaffe300d9edaae7fb7b02088d6f2.jpg,5.6,800,400,11:05:51
+1.0,2012-04-24,2012-04-24 11:08:33,0,3,1a3c1aec70b3f2a58180de238a7d8be4.jpg,5.6,800,400,11:08:33
+1.0,2013-02-20,2013-02-20 12:21:48,1,1,cce07a4db74f5061c3ab9d2d15bee9c2.jpg,5.6,800,100,12:21:48
+1.0,2013-01-29,2013-01-29 16:25:34,1,1,a388d9b912196db34669d3c9cd680747.jpg,5.6,800,320,16:25:34
+1.0,2012-03-20,2012-03-20 11:07:06,0,3,f16dced0e7a52a0aaadae2e832ed070a.jpg,5.6,800,400,11:07:06
+1.0,2013-02-19,2013-02-19 16:33:09,1,1,6dd8b98dc91762841f5b5eaffcb2c0f8.jpg,5.6,800,320,16:33:09
+1.0,2013-01-28,2013-01-28 12:38:03,1,1,eded6c2c1152cd7118c9a03ad02aaadd.jpg,5.6,800,100,12:38:03
+1.0,2012-04-03,2012-04-03 09:42:11,0,3,009ac640eda5b0fee3c7f58212e20f55.jpg,5.6,800,400,09:42:11
+1.0,2013-01-28,2013-01-28 12:40:19,1,1,7ba445654ee80a2c5db9cbe814e9f171.jpg,5.6,800,100,12:40:19
+1.0,2013-02-26,2013-02-26 12:14:22,1,1,96162df494eb22b06dce875ce7cf3bc2.jpg,5.6,800,200,12:14:22
+1.0,2013-02-13,2013-02-13 12:23:34,1,1,3d619f24964c6c0edc48355f051e0f4f.jpg,5.6,800,100,12:23:34
+1.0,2012-02-23,2012-02-23 14:56:51,0,3,d4321d8c9d89307d4a384df4cc762240.jpg,5.6,800,400,14:56:51
+1.0,2013-01-29,2013-01-29 16:24:24,1,1,da467d2498f537ff312a8b243e43a018.jpg,5.6,800,250,16:24:24
+1.0,2013-02-19,2013-02-19 16:32:46,1,1,19eb92e24c0dfd28de0a3e3bc7b72480.jpg,5.6,800,320,16:32:46
+1.0,2013-02-13,2013-02-13 13:19:45,1,1,f4384f9493f3b5b3afbeddaf1569eda4.jpg,5.6,800,100,13:19:45
+1.0,2012-03-20,2012-03-20 09:46:43,0,3,0db00f78fdc99440cc254287caaf51f6.jpg,5.6,800,400,09:46:43
+1.0,2012-03-20,2012-03-20 12:31:41,0,3,7ebfc70937763210675c257c1e5751de.jpg,5.6,800,400,12:31:41
+1.0,2012-04-03,2012-04-03 12:31:47,0,3,fd0276db0179cabafec09ab2055666a7.jpg,5.6,800,400,12:31:47
+1.0,2012-04-03,2012-04-03 09:39:41,0,3,d880d3a74e50e2d754649fbd3a495143.jpg,5.6,800,400,09:39:41
+1.0,2012-04-03,2012-04-03 09:38:17,0,3,190c7d7a84d6c7271fae6c76a4433c1a.jpg,5.6,800,400,09:38:17
+1.0,2013-01-28,2013-01-28 12:37:52,1,1,3bf2448f20c559e10b34be0c803bcf39.jpg,5.6,800,100,12:37:52
+1.0,2013-01-28,2013-01-28 12:42:10,1,1,f2ac66086a74e731bad8a45ff58e03a4.jpg,5.6,800,100,12:42:10
+1.0,2013-01-29,2013-01-29 12:31:19,1,1,60203f1aa644cf246f33320ea57e27c9.jpg,5.6,800,100,12:31:19
+1.0,2012-04-03,2012-04-03 11:10:38,0,3,a7b1f5bf43ceb73d91da9cc461a327c0.jpg,5.6,800,400,11:10:38
+1.0,2013-02-13,2013-02-13 13:24:26,1,1,a51b2a90cdd62878226bf84dd3a8aff5.jpg,5.6,800,100,13:24:26
+1.0,2013-01-29,2013-01-29 12:34:20,1,1,22efe9fa58a90b4e635ec7cc99a460df.jpg,5.6,800,100,12:34:20
+1.0,2012-03-20,2012-03-20 15:23:38,0,3,699848e302aedcf73c86f7b9dbb5e8fb.jpg,5.6,800,400,15:23:38
+1.0,2013-02-20,2013-02-20 12:12:07,1,1,75371af8725d72028c7e960496fab440.jpg,5.6,800,160,12:12:07
+1.0,2013-02-13,2013-02-13 13:30:28,1,1,0585b598226f83abaad0eba9a7e5ed17.jpg,5.6,800,100,13:30:28
+1.0,2013-02-13,2013-02-13 13:24:02,1,1,4d89b38ee7e519a3212c17e7f189a2b8.jpg,5.6,800,100,13:24:02
+1.0,2013-02-20,2013-02-20 12:09:33,1,1,f33b8bb31260b2cd8f8a7ab9608a7ab1.jpg,5.6,800,160,12:09:33
+1.0,2012-03-20,2012-03-20 13:57:35,0,3,10bfe24d59e1a01f6ae153930691fab8.jpg,5.6,800,400,13:57:35
+1.0,2013-01-29,2013-01-29 16:33:22,1,1,45af23fcb552686d44e987ab84a5dfe5.jpg,5.6,800,320,16:33:22
+1.0,2012-03-20,2012-03-20 09:45:59,0,3,4c3da10bf4253dec995da223bd0973e1.jpg,5.6,800,400,09:45:59
+1.0,2012-03-20,2012-03-20 12:35:54,0,3,167e282167d19d4f6563cc90663d72c1.jpg,5.6,800,400,12:35:54
+1.0,2013-01-29,2013-01-29 16:23:47,1,1,56c5066ada4faaec606494e25a4f6c80.jpg,5.6,800,500,16:23:47
+1.0,2012-02-23,2012-02-23 14:54:46,0,3,4198b36060e25e2c4453a4146417bd78.jpg,5.6,800,400,14:54:46
+1.0,2012-04-03,2012-04-03 09:39:46,0,3,3922d67802bf7fa5f2f8c81c42ba1ba6.jpg,5.6,800,400,09:39:46
+1.0,2013-01-29,2013-01-29 12:17:18,1,1,45c7fb839ded1c27d4fc345015d3138e.jpg,5.6,800,100,12:17:18
+1.0,2012-04-03,2012-04-03 09:37:24,0,3,cd5bb2c9c339355e0cd0cea082370a36.jpg,5.6,800,400,09:37:24
+1.0,2013-02-19,2013-02-19 16:17:49,1,1,ffac67b6444186f681fd5585ae690957.jpg,5.6,800,320,16:17:49
+1.0,2012-03-20,2012-03-20 12:35:05,0,3,34e6827d29dba46c56ab0238cb0fd15c.jpg,5.6,800,400,12:35:05
+1.0,2013-01-29,2013-01-29 12:27:31,1,1,7c903eb473adf9faa5229066b7a27850.jpg,5.6,800,100,12:27:31
+1.0,2013-02-26,2013-02-26 12:31:44,1,1,6c60dcb941338c1e742d133f3a7c8c9d.jpg,5.6,800,200,12:31:44
+1.0,2012-04-03,2012-04-03 11:11:26,0,3,be27897ce13f6dcb44808e2a91a1c855.jpg,5.6,800,400,11:11:26
+1.0,2012-03-06,2012-03-06 13:28:29,0,3,98ec4cf2b3a5ff4c6947fa65f79b5c79.jpg,5.6,800,400,13:28:29
+1.0,2012-04-03,2012-04-03 11:06:30,0,3,e9c6545a108efb7fea0abeefb138b475.jpg,5.6,800,400,11:06:30
+1.0,2012-03-20,2012-03-20 13:57:21,0,3,475ba3234b6a0249cd6c60249cc0550c.jpg,5.6,800,400,13:57:21
+1.0,2012-03-06,2012-03-06 13:27:39,0,3,d586c0b9fc23968615840e0e620226b9.jpg,5.6,800,400,13:27:39
+1.0,2013-02-26,2013-02-26 12:07:51,1,1,2584a4e5604c1e2302802f8fcbb4da0b.jpg,5.6,800,200,12:07:51
+1.0,2012-04-03,2012-04-03 09:36:51,0,3,4a95acc4e03843992631d27f55c131f4.jpg,5.6,800,400,09:36:51
+1.0,2013-01-28,2013-01-28 12:38:33,1,1,8705e8b3e775235e30b751dae221bbbf.jpg,5.6,800,100,12:38:33
+1.0,2013-01-29,2013-01-29 12:14:26,1,1,dce5cf0e031f860f23a70ac021f93be0.jpg,5.6,800,100,12:14:26
+1.0,2012-03-20,2012-03-20 13:56:24,0,3,25333ea1a5c2d892ef6031afab364082.jpg,5.6,800,400,13:56:24
+1.0,2012-03-20,2012-03-20 13:56:35,0,3,7532903a21ccc7f8c905e88b27784c1b.jpg,5.6,800,400,13:56:35
+1.0,2013-01-28,2013-01-28 12:42:11,1,1,34f80681b720ffea7f6bbd838134f805.jpg,5.6,800,100,12:42:11
+1.0,2013-02-20,2013-02-20 12:24:05,1,1,cf2c432dfc61f3616ce025e2247e8fe2.jpg,5.6,800,100,12:24:05
+1.0,2012-04-03,2012-04-03 11:05:29,0,3,58d612697fbe3440c1074e89ea462a05.jpg,5.6,800,400,11:05:29
+1.0,2012-03-20,2012-03-20 12:34:34,0,3,b1cca5ce667feea57ed66c8e61d23e5c.jpg,5.6,800,400,12:34:34
+1.0,2013-02-20,2013-02-20 12:05:28,1,1,5a44f00fac39dfeb5928a8f7c3d2952d.jpg,5.6,800,200,12:05:28
+1.0,2012-03-22,2012-03-22 11:06:25,0,3,0dcfe845a2bee186566ed92622eae3fc.jpg,5.6,800,400,11:06:25
+1.0,2012-03-13,2012-03-13 11:13:19,0,3,2a26a6de8a0fd8e13a25f4c475a3d5c1.jpg,5.6,800,400,11:13:19
+1.0,2012-04-03,2012-04-03 11:06:25,0,3,8ace87f8370381fd03f7f48b87c92658.jpg,5.6,800,400,11:06:25
+1.0,2012-04-03,2012-04-03 11:08:31,0,3,91341cc04bb803a39ef9a254d60a082e.jpg,5.6,800,400,11:08:31
+1.0,2013-02-20,2013-02-20 12:13:44,1,1,c5ab5e2eb990ab40b73c4783f42ac498.jpg,5.6,800,160,12:13:44
+1.0,2012-04-03,2012-04-03 09:37:03,0,3,db6ce678c91b61f27e77242c83cc1a20.jpg,5.6,800,400,09:37:03
+1.0,2012-03-20,2012-03-20 12:31:25,0,3,0d260fbd36fc6627188ad0d69b582a96.jpg,5.6,800,400,12:31:25
+1.0,2012-03-20,2012-03-20 13:57:33,0,3,b39719c2686f629da0f2ac5cec0f2753.jpg,5.6,800,400,13:57:33
+1.0,2012-04-03,2012-04-03 09:35:01,0,3,046d9d9546d7352024cab74aed76ef92.jpg,5.6,800,400,09:35:01
+1.0,2013-02-20,2013-02-20 12:04:54,1,1,8ad405975bee8b38dbbe768866e47512.jpg,5.6,800,200,12:04:54
+1.0,2013-02-26,2013-02-26 12:31:39,1,1,730681fc0aeb297a4712a44eeded54d2.jpg,5.6,800,200,12:31:39
+1.0,2013-01-29,2013-01-29 16:30:35,1,1,be98f2cba89911042d61762f606507f8.jpg,5.6,800,800,16:30:35
+1.0,2012-04-03,2012-04-03 09:44:28,0,3,05d83aee9574788be5fd9227ee9156cc.jpg,5.6,800,400,09:44:28
+1.0,2012-03-22,2012-03-22 14:03:02,0,3,da418daffda77d451d9750e09ce26bc6.jpg,5.6,800,400,14:03:02
+1.0,2013-02-26,2013-02-26 12:18:07,1,1,8b4300659c1e87f9b72e0460a6e42c8d.jpg,5.6,800,200,12:18:07
+1.0,2012-04-03,2012-04-03 09:39:47,0,3,e0619007d248290ed4987c19fa36f112.jpg,5.6,800,400,09:39:47
+1.0,2012-04-03,2012-04-03 11:08:12,0,3,a65c466ab8151fc55532148c4d860f86.jpg,5.6,800,400,11:08:12
+1.0,2013-02-13,2013-02-13 13:13:38,1,1,c8b61748b9af30025e3087aff0f05fbe.jpg,5.6,800,100,13:13:38
+1.0,2012-04-24,2012-04-24 11:09:21,0,3,168718e5325febc7c15859592b36e523.jpg,5.6,800,400,11:09:21
+1.0,2013-01-28,2013-01-28 12:37:52,1,1,6c18b30be216490e734c2e3b34b520fe.jpg,5.6,800,100,12:37:52
+1.0,2013-02-19,2013-02-19 16:31:34,1,1,e316e969502de85279ff3245cade771d.jpg,5.6,800,320,16:31:34
+1.0,2012-03-20,2012-03-20 13:56:08,0,3,bd6213f17a6f0cd50da07e77f10dbaf0.jpg,5.6,800,400,13:56:08
+1.0,2012-03-20,2012-03-20 12:33:35,0,3,e7ef3ceb76a497140650a50477fd31ad.jpg,5.6,800,400,12:33:35
+1.0,2012-02-23,2012-02-23 14:56:53,0,3,492e61d67798a06efcab77eefe614da5.jpg,5.6,800,400,14:56:53
+1.0,2013-01-28,2013-01-28 12:42:36,1,1,a6a7975198eeb1edb0b13bbd38829d1b.jpg,5.6,800,100,12:42:36
+1.0,2013-02-13,2013-02-13 12:29:12,1,1,a47d663329989e29e5ef88026de99471.jpg,5.6,800,100,12:29:12
+1.0,2013-02-20,2013-02-20 12:26:11,1,1,4b50d695905a97ca3003e93695e3cffb.jpg,5.6,800,100,12:26:11
+1.0,2012-03-20,2012-03-20 13:58:15,0,3,389557b3e46f18ec5feda3139825e62c.jpg,5.6,800,400,13:58:15
+1.0,2013-02-26,2013-02-26 12:07:19,1,1,afa9c0f09c306bbad79560dd426314c1.jpg,5.6,800,200,12:07:19
+1.0,2012-03-20,2012-03-20 09:43:50,0,3,e831f33cbf93120e714f3e61c906d137.jpg,5.6,800,400,09:43:50
+1.0,2013-02-13,2013-02-13 12:04:17,1,1,fcad8737882f94edbb22d5a21409b653.jpg,5.6,800,100,12:04:17
+1.0,2013-01-28,2013-01-28 12:38:18,1,1,eb6c05098854922b6c7d9710d9c5bc2a.jpg,5.6,800,100,12:38:18
+1.0,2012-03-06,2012-03-06 13:28:24,0,3,484d8b57fc3d5683c17251305db24937.jpg,5.6,800,400,13:28:24
+1.0,2012-03-06,2012-03-06 13:31:28,0,3,392d27088876320113ef152e8a0ed152.jpg,5.6,800,400,13:31:28
+1.0,2012-03-08,2012-03-08 14:55:43,0,3,e0e63a80110554c2cf3049c176ecac81.jpg,5.6,800,400,14:55:43
+1.0,2013-01-29,2013-01-29 16:21:13,1,1,2192de81998ea5c55eaa17dc16d8436f.jpg,5.6,800,250,16:21:13
+1.0,2013-02-19,2013-02-19 16:33:11,1,1,6df4410d7e5eb8305b6bae6f16b95409.jpg,5.6,800,320,16:33:11
+1.0,2013-01-28,2013-01-28 12:42:45,1,1,5c1d217e129d50d72e1686425a8bc06c.jpg,5.6,800,100,12:42:45
+1.0,2012-04-03,2012-04-03 09:45:05,0,3,4836b5a37cb5be4543b3220a35328394.jpg,5.6,800,400,09:45:05
+1.0,2012-04-03,2012-04-03 09:44:26,0,3,022abe56fea742b7b6ccb1cd8c61b1f4.jpg,5.6,800,400,09:44:26
+1.0,2013-01-29,2013-01-29 12:11:43,1,1,399b0c5dfb3b3f69185ca93e1b7464bf.jpg,5.6,800,100,12:11:43
+1.0,2012-04-03,2012-04-03 09:38:49,0,3,203e581e0e148e3e69f267c7276dc5e9.jpg,5.6,800,400,09:38:49
+1.0,2012-02-23,2012-02-23 14:58:28,0,3,e840e3cd9ff170e6f56b2acefe7c3255.jpg,5.6,800,400,14:58:28
+1.0,2012-03-13,2012-03-13 11:09:38,0,3,8e657360bdd91c95568cc032a09cc443.jpg,5.6,800,400,11:09:38
+1.0,2012-03-20,2012-03-20 09:41:24,0,3,b777d1fe1f72cb3deba36f9428b6e247.jpg,5.6,800,400,09:41:24
+1.0,2013-02-13,2013-02-13 12:01:40,1,1,0caa5acb68d4587739a88dcbe8590dce.jpg,5.6,800,100,12:01:40
+1.0,2013-01-29,2013-01-29 16:32:51,1,1,9c0c1986cdd4b34a9f49ba1ad9271cf7.jpg,5.6,800,500,16:32:51
+1.0,2013-02-19,2013-02-19 16:22:54,1,1,136c9eed03d391d7964f0c5ddcbfdf07.jpg,5.6,800,500,16:22:54
+1.0,2012-04-03,2012-04-03 11:12:07,0,3,8e19b54de1e505138f2f2c9c576d2071.jpg,5.6,800,400,11:12:07
+1.0,2013-02-19,2013-02-19 16:19:42,1,1,2da657f393473ce4b670a42a409b7da1.jpg,5.6,800,320,16:19:42
+1.0,2013-01-29,2013-01-29 12:19:51,1,1,6a5868d2e1d01f157404bf571d6c1eb5.jpg,5.6,800,100,12:19:51
+1.0,2013-01-28,2013-01-28 12:41:55,1,1,5eb2e248849824e9e112fc20906f589e.jpg,5.6,800,100,12:41:55
+1.0,2013-02-19,2013-02-19 16:31:43,1,1,f0e348e50f49747866fa722ae657634d.jpg,5.6,800,320,16:31:43
+1.0,2012-04-12,2012-04-12 13:57:35,0,3,93b3f77ec8a18e013c4231cca6348fc7.jpg,5.6,800,400,13:57:35
+1.0,2013-01-28,2013-01-28 12:34:10,1,1,d124019382f053d9be6a50f9492a0397.jpg,5.6,800,100,12:34:10
+1.0,2012-03-20,2012-03-20 12:30:21,0,3,4fcce4064483f6b0c0516d79a5b12739.jpg,5.6,800,400,12:30:21
+1.0,2012-04-03,2012-04-03 11:12:02,0,3,0d009873784c9c0dbf96708e07cd6fcd.jpg,5.6,800,400,11:12:02
+1.0,2012-03-20,2012-03-20 09:41:27,0,3,b163d7e5975a75db36eaf547fccc86d2.jpg,5.6,800,400,09:41:27
+1.0,2012-03-20,2012-03-20 09:42:20,0,3,b716b64c7d0e68385ac0c0dcaf42f3c3.jpg,5.6,800,400,09:42:20
+1.0,2013-01-29,2013-01-29 12:08:25,1,1,774db108db471b29d9006a6ffc501f21.jpg,5.6,800,100,12:08:25
+1.0,2012-03-08,2012-03-08 14:55:52,0,3,9e0aec8949944ff5926857f06514dc73.jpg,5.6,800,400,14:55:52
+1.0,2012-03-08,2012-03-08 12:13:15,0,3,6860e47068dfc592bc8a5877e563679e.jpg,5.6,800,400,12:13:15
+1.0,2013-01-29,2013-01-29 16:25:32,1,1,f61a1b783926f6d6bb3e6592e36128c6.jpg,5.6,800,250,16:25:32
+1.0,2013-01-29,2013-01-29 16:29:08,1,1,03c30cde655e231b0e0233aadab5d452.jpg,5.6,800,320,16:29:08
+1.0,2013-01-29,2013-01-29 16:34:27,1,1,c698bc78d627b1ad323f698ee5fab35b.jpg,5.6,800,640,16:34:27
+1.0,2012-04-24,2012-04-24 09:43:18,0,3,cd72721f3dafa527d1c2982461862951.jpg,5.6,800,400,09:43:18
+1.0,2012-03-22,2012-03-22 11:08:03,0,3,bdcd66bf604cb3c80d2140194d0147d8.jpg,5.6,800,400,11:08:03
+1.0,2013-02-20,2013-02-20 12:26:15,1,1,5b68867d349e9af4a1b7a9bfba4d36ae.jpg,5.6,800,100,12:26:15
+1.0,2013-02-20,2013-02-20 12:44:26,1,1,b62787d8a3ea15e40d2632e180199e75.jpg,5.6,800,100,12:44:26
+1.0,2012-03-22,2012-03-22 11:11:31,0,3,f98f82cea56a5f00e9451f75a05db75b.jpg,5.6,800,400,11:11:31
+1.0,2012-03-22,2012-03-22 13:58:32,0,3,91d6cd2c80ce4eb7cfbb3b157753735e.jpg,5.6,800,400,13:58:32
+1.0,2013-01-28,2013-01-28 12:36:15,1,1,acb291a6705fef9e06b37e740b5312b3.jpg,5.6,800,100,12:36:15
+1.0,2013-01-29,2013-01-29 12:31:03,1,1,7c05078e065c47f2b84b0ba7a4fe304e.jpg,5.6,800,100,12:31:03
+1.0,2013-01-28,2013-01-28 12:38:09,1,1,479482d6cce49d04336dfa28f1a516c4.jpg,5.6,800,100,12:38:09
+1.0,2012-04-03,2012-04-03 09:35:48,0,3,f6039d2c35ef34bed5422c3d415d9a27.jpg,5.6,800,400,09:35:48
+1.0,2012-03-22,2012-03-22 13:57:58,0,3,20bc5c7ea95716289e7fe1928cfd9ef4.jpg,5.6,800,400,13:57:58
+1.0,2013-02-26,2013-02-26 12:07:48,1,1,c96de0f91f32ac85e0ec6639585d6e00.jpg,5.6,800,160,12:07:48
+1.0,2012-04-03,2012-04-03 09:44:38,0,3,f07b7ef2e85c91029a720b2aaad6ce29.jpg,5.6,800,400,09:44:38
+1.0,2013-02-20,2013-02-20 12:04:35,1,1,03bdf2d152e02551932b7ef48142524d.jpg,5.6,800,160,12:04:35
+1.0,2012-03-20,2012-03-20 12:34:29,0,3,a58631927041e0d60cac342418d3f43c.jpg,5.6,800,400,12:34:29
+1.0,2012-03-20,2012-03-20 11:05:33,0,3,7835953967e6f083e5e632f58e8ae249.jpg,5.6,800,400,11:05:33
+1.0,2013-01-28,2013-01-28 12:42:19,1,1,44a466bac4bc9531753500797d4881a0.jpg,5.6,800,100,12:42:19
+1.0,2013-02-13,2013-02-13 13:08:22,1,1,c19c6a3011d2bf862f870ef351afdf84.jpg,5.6,800,100,13:08:22
+1.0,2013-02-20,2013-02-20 12:15:00,1,1,dae5736b7eca2ff6a2fe95111ac9f8ae.jpg,5.6,800,125,12:15:00
+1.0,2012-04-03,2012-04-03 09:38:06,0,3,cecf6222d222d28ebb7610b2c9b1c86f.jpg,5.6,800,400,09:38:06
+1.0,2013-02-20,2013-02-20 12:14:10,1,1,c39bb3d4cc41f8eed4d2f472492b7acf.jpg,5.6,800,125,12:14:10
+1.0,2013-02-20,2013-02-20 12:06:19,1,1,ccfab09c011ef52779a4e8d420e2f6a7.jpg,5.6,800,200,12:06:19
+1.0,2013-01-29,2013-01-29 16:26:56,1,1,55c4262036e9ef207475e5ea158c1fd1.jpg,5.6,800,250,16:26:56
+1.0,2012-04-03,2012-04-03 11:04:30,0,3,7a4b6f8b2d090b377aeb9842ac025faa.jpg,5.6,800,400,11:04:30
+1.0,2012-03-22,2012-03-22 11:08:28,0,3,6e0a5d592ba393f2d1b6861b528d25eb.jpg,5.6,800,400,11:08:28
+1.0,2012-04-03,2012-04-03 11:06:42,0,3,af34f2870f87aa504364738811725e1e.jpg,5.6,800,400,11:06:42
+1.0,2012-03-20,2012-03-20 12:34:52,0,3,33311e2c5fa60574dc2c35917d11ad46.jpg,5.6,800,400,12:34:52
+1.0,2012-04-03,2012-04-03 09:43:27,0,3,55e57d990fb396b16bfe464c1001ea6c.jpg,5.6,800,400,09:43:27
+1.0,2013-02-19,2013-02-19 16:18:56,1,1,7508eb96e3067cc781a329349af8c1d4.jpg,5.6,800,320,16:18:56
+1.0,2013-02-19,2013-02-19 16:31:48,1,1,24c6cf856a95812ca18109041f41a9e3.jpg,5.6,800,320,16:31:48
+1.0,2013-01-28,2013-01-28 12:38:11,1,1,9bd61d19418866788780dcd3cbffb86b.jpg,5.6,800,100,12:38:11
+1.0,2013-01-29,2013-01-29 12:20:54,1,1,dfe7761b62db193f025a35e86a1b4a94.jpg,5.6,800,100,12:20:54
+1.0,2012-03-20,2012-03-20 09:41:34,0,3,54d24fb3aa464970b9d652f5f2929a11.jpg,5.6,800,400,09:41:34
+1.0,2013-01-28,2013-01-28 12:37:45,1,1,b8910732d4ae7c1fe4a2f5e8e460100b.jpg,5.6,800,100,12:37:45
+1.0,2012-04-03,2012-04-03 09:37:04,0,3,20a1c581a5f425023af62e8f2a15c215.jpg,5.6,800,400,09:37:04
+1.0,2013-01-29,2013-01-29 12:34:17,1,1,951fb7d0421a10e5f6e07200d925f3be.jpg,5.6,800,100,12:34:17
+1.0,2012-03-20,2012-03-20 15:24:57,0,3,5c5325f084471b2e0e3abac4e4b55592.jpg,5.6,800,400,15:24:57
+1.0,2012-04-03,2012-04-03 09:36:35,0,3,3a6d4aaa57737917523bdd807a3e58a6.jpg,5.6,800,400,09:36:35
+1.0,2012-04-03,2012-04-03 09:44:59,0,3,24248ef29a2a30e3a1cd740f6d5afce4.jpg,5.6,800,400,09:44:59
+1.0,2012-04-03,2012-04-03 09:37:04,0,3,1afc361f767fccf1ff69d72eff1c808c.jpg,5.6,800,400,09:37:04
+1.0,2012-03-20,2012-03-20 13:58:38,0,3,2a03f885443f23959ad71cd4c0ea78a5.jpg,5.6,800,400,13:58:38
+1.0,2013-02-13,2013-02-13 11:59:52,1,1,b98bc5bd84272998c28db870a6ca276d.jpg,5.6,800,100,11:59:52
+1.0,2013-01-29,2013-01-29 16:32:57,1,1,f71045bc9489a1e41f06bcf417420fea.jpg,5.6,800,320,16:32:57
+1.0,2012-03-20,2012-03-20 13:56:39,0,3,5fae9127c6a3d3de03f227726f1d435c.jpg,5.6,800,400,13:56:39
+1.0,2012-03-20,2012-03-20 09:42:09,0,3,916b43de07a4b7a19a8a6351f17a75c1.jpg,5.6,800,400,09:42:09
+1.0,2013-02-20,2013-02-20 12:05:03,1,1,f5952faa752eccd74310cec33586b413.jpg,5.6,800,160,12:05:03
+1.0,2013-02-20,2013-02-20 12:13:45,1,1,c8dc12ff4ff156891aa5aaffc76e2504.jpg,5.6,800,200,12:13:45
+1.0,2012-03-20,2012-03-20 09:41:32,0,3,b491aba562ceac0d4205581666c720b2.jpg,5.6,800,400,09:41:32
+1.0,2012-03-20,2012-03-20 13:55:43,0,3,5e570046d3442f2c765b63ef69a806db.jpg,5.6,800,400,13:55:43
+1.0,2013-02-13,2013-02-13 12:28:32,1,1,5cba7d9e2314f777b44655540d96c638.jpg,5.6,800,100,12:28:32
+1.0,2013-02-19,2013-02-19 16:17:46,1,1,a0ea0a27d811411d4e978b5c611c9570.jpg,5.6,800,320,16:17:46
+1.0,2013-01-29,2013-01-29 16:34:05,1,1,e3218d4d47957f6177c704e22964f63f.jpg,5.6,800,400,16:34:05
+1.0,2013-02-19,2013-02-19 16:17:57,1,1,2af7d31665dde73edf4280c6f98bf17f.jpg,5.6,800,320,16:17:57
+1.0,2012-04-03,2012-04-03 09:36:46,0,3,e150063fc52f646893d15073bbff4b31.jpg,5.6,800,400,09:36:46
+1.0,2013-02-20,2013-02-20 12:44:12,1,1,8909027d9b6d41a1dd0c6ebba3580ebc.jpg,5.6,800,100,12:44:12
+1.0,2012-03-20,2012-03-20 09:45:05,0,3,05cbaaf85f922fb870991c61828a6f48.jpg,5.6,800,400,09:45:05
+1.0,2013-02-20,2013-02-20 12:13:16,1,1,69b73b860f79f19c88cfc52c1fc3bc24.jpg,5.6,800,160,12:13:16
+1.0,2012-03-13,2012-03-13 11:11:32,0,3,291c418eadf73dd2ed48f8724c3d9c9d.jpg,5.6,800,400,11:11:32
+1.0,2012-03-20,2012-03-20 13:57:51,0,3,f6de3c4e081662e26e8941da08abda21.jpg,5.6,800,400,13:57:51
+1.0,2013-02-19,2013-02-19 16:25:52,1,1,ee66b7249a5febfa4cdabc034e562268.jpg,5.6,800,320,16:25:52
+1.0,2013-02-20,2013-02-20 12:07:58,1,1,28ddf3cf6dea962affa77be22351f0c9.jpg,5.6,800,200,12:07:58
+1.0,2012-04-03,2012-04-03 11:06:42,0,3,887835ca6b36a2ba0ce1e04bc68de8a8.jpg,5.6,800,400,11:06:42
+1.0,2012-03-08,2012-03-08 10:47:25,0,3,103454a456b58525aa2907c3c7e02bd9.jpg,5.6,800,400,10:47:25
+1.0,2012-04-03,2012-04-03 09:41:35,0,3,fad061e53a44622f54721087a87772e5.jpg,5.6,800,400,09:41:35
+1.0,2012-04-03,2012-04-03 11:11:31,0,3,67ab0ae7cac8ab01eaed16a725156c90.jpg,5.6,800,400,11:11:31
+1.0,2012-04-03,2012-04-03 09:40:48,0,3,593025c938c6c2edd4d0be787fcbd304.jpg,5.6,800,400,09:40:48
+1.0,2012-03-08,2012-03-08 10:46:54,0,3,103bd87f3c50f8bd3e42dd04f16fe01d.jpg,5.6,800,400,10:46:54
+1.0,2013-02-19,2013-02-19 16:31:16,1,1,f94e4f79ab29043af5d881d6d08bbe95.jpg,5.6,800,320,16:31:16
+1.0,2012-03-20,2012-03-20 11:06:36,0,3,1734bc2a371671fb0ea83301e87f2613.jpg,5.6,800,400,11:06:36
+1.0,2013-02-19,2013-02-19 16:29:11,1,1,1085eb4c925bdb12b5be82b158580437.jpg,5.6,800,320,16:29:11
+1.0,2012-03-13,2012-03-13 11:12:28,0,3,46429abc0ce9c9f9f90b8e1c14ef9fb8.jpg,5.6,800,400,11:12:28
+1.0,2013-02-19,2013-02-19 16:16:07,1,1,22e04c40d88c888b6cff4a2bd8a12e7a.jpg,5.6,800,320,16:16:07
+1.0,2013-02-19,2013-02-19 16:28:16,1,1,5b6d2ad5ff735048b390071a60d75591.jpg,5.6,800,320,16:28:16
+1.0,2013-01-29,2013-01-29 12:15:03,1,1,c8a367cc86ba7b3714ad3f3b5af53a8f.jpg,5.6,800,100,12:15:03
+1.0,2012-04-03,2012-04-03 11:04:33,0,3,4b09b4bd8b040dc0c80aabded772b2c8.jpg,5.6,800,400,11:04:33
+1.0,2013-02-13,2013-02-13 13:12:40,1,1,2990cb3fadef32aff56c6d44e1b77de8.jpg,5.6,800,100,13:12:40
+1.0,2013-01-28,2013-01-28 12:42:29,1,1,cc96791bee0628be1ba416e3a2091c46.jpg,5.6,800,100,12:42:29
+1.0,2013-02-13,2013-02-13 12:48:21,1,1,a3e6078f9973c4402bbdf73a43653019.jpg,5.6,800,100,12:48:21
+1.0,2012-03-08,2012-03-08 10:46:32,0,3,e5938f6d77d53892b79555668d217326.jpg,5.6,800,400,10:46:32
+1.0,2013-02-20,2013-02-20 12:11:26,1,1,a263e1ab4c75b2a9f97b3362c45889ca.jpg,5.6,800,200,12:11:26
+1.0,2013-01-29,2013-01-29 16:27:34,1,1,049419b25ae060aeba640032ecb9e993.jpg,5.6,800,250,16:27:34
+1.0,2012-03-20,2012-03-20 09:39:56,0,3,56b722a4f2b251fe1e7170cda36fccb4.jpg,5.6,800,400,09:39:56
+1.0,2012-03-20,2012-03-20 12:29:52,0,3,23cf3cffb11c2774c3f9f38fcbddd906.jpg,5.6,800,400,12:29:52
+1.0,2013-02-20,2013-02-20 12:08:23,1,1,7dead1140ec370723e34379387b931ac.jpg,5.6,800,200,12:08:23
+1.0,2013-02-13,2013-02-13 12:44:42,1,1,af894c80086debb5a4a9c12adae72cfd.jpg,5.6,800,100,12:44:42
+1.0,2012-02-23,2012-02-23 14:56:50,0,3,3aa45683fe7fe43960b64f283e936f33.jpg,5.6,800,400,14:56:50
+1.0,2012-04-03,2012-04-03 11:08:43,0,3,78eb1fccdccc0948ba0f6b232b1c60fc.jpg,5.6,800,400,11:08:43
+1.0,2012-04-03,2012-04-03 11:13:11,0,3,175e8a3595dae3fe6e94a216148f6675.jpg,5.6,800,400,11:13:11
+1.0,2013-01-29,2013-01-29 16:22:55,1,1,b21c3be18c6c19e20d68bfc2b17742ae.jpg,5.6,800,320,16:22:55
+1.0,2012-03-13,2012-03-13 11:11:07,0,3,177f642eaef272827bd3f1861c81b89d.jpg,5.6,800,400,11:11:07
+1.0,2012-03-20,2012-03-20 15:22:22,0,3,2e7c0bc2eb39b57c69536a6e3aca0dac.jpg,5.6,800,400,15:22:22
+1.0,2012-03-22,2012-03-22 11:06:24,0,3,e0c4ebd8575fc17780921929f0466e17.jpg,5.6,800,400,11:06:24
+1.0,2012-03-20,2012-03-20 11:08:46,0,3,b7aca94a6fa39c4cc63d5baf89517e25.jpg,5.6,800,400,11:08:46
+1.0,2013-01-29,2013-01-29 12:15:38,1,1,502d3190e0ef6f0f0d29f1e11082a17c.jpg,5.6,800,100,12:15:38
+1.0,2012-04-03,2012-04-03 09:35:46,0,3,092ac89cbd5819ef84d398a034cd56bb.jpg,5.6,800,400,09:35:46
+1.0,2013-01-29,2013-01-29 12:09:12,1,1,d323a44452ab19f172e6688e36754402.jpg,5.6,800,100,12:09:12
+1.0,2013-02-19,2013-02-19 16:24:56,1,1,01f6f4d6add78d3842a9e5056ecc5008.jpg,5.6,800,400,16:24:56
+1.0,2012-03-06,2012-03-06 13:27:44,0,3,f71fceb2b738e11f74f173c718320e0e.jpg,5.6,800,400,13:27:44
+1.0,2012-04-03,2012-04-03 09:43:54,0,3,3789d61290c0acfc356c394db53b860d.jpg,5.6,800,400,09:43:54
+1.0,2012-04-03,2012-04-03 09:39:24,0,3,bd017227a69e0269c2b4a405ddd79c38.jpg,5.6,800,400,09:39:24
+1.0,2013-02-13,2013-02-13 12:32:35,1,1,2efcd2a52b05a2c081598712a8578581.jpg,5.6,800,100,12:32:35
+1.0,2012-03-20,2012-03-20 09:42:10,0,3,bcd437a792c807b2c0600a4b9ff9d06b.jpg,5.6,800,400,09:42:10
+1.0,2013-02-20,2013-02-20 12:20:57,1,1,1faa87d3df2e25e2749de8cfbe8e733c.jpg,5.6,800,100,12:20:57
+1.0,2013-02-19,2013-02-19 16:18:48,1,1,e8abef6850008e4166d0943cb8c22596.jpg,5.6,800,400,16:18:48
+1.0,2012-04-03,2012-04-03 11:12:30,0,3,fe92baac7c395f11f890e20cdfddf4d3.jpg,5.6,800,400,11:12:30
+1.0,2013-02-26,2013-02-26 12:08:28,1,1,5f73d31bd5beaa788a8564d246d4c9c6.jpg,5.6,800,200,12:08:28
+1.0,2012-04-03,2012-04-03 09:37:20,0,3,34dec7dbc2413a5d454fa84f706c3cf3.jpg,5.6,800,400,09:37:20
+1.0,2013-01-29,2013-01-29 12:17:56,1,1,8961d82afcd7e7d93ece0247cdc3b29a.jpg,5.6,800,100,12:17:56
+1.0,2012-04-03,2012-04-03 11:07:57,0,3,4c2c3cefad5871aa30e37b7bb9c0b9c8.jpg,5.6,800,400,11:07:57
+1.0,2012-04-03,2012-04-03 12:34:57,0,3,406dcc33f2d9d4ba6dcf3297b337e3cc.jpg,5.6,800,400,12:34:57
+1.0,2012-04-03,2012-04-03 12:36:59,0,3,6d823cba82c53d3a82589f3698821d9d.jpg,5.6,800,400,12:36:59
+1.0,2012-04-03,2012-04-03 11:11:18,0,3,a1d1c089c37c7c87219aefa450bb50c8.jpg,5.6,800,400,11:11:18
+1.0,2013-02-13,2013-02-13 13:22:47,1,1,d047b06a53f0c959a148b2f0b41b4d16.jpg,5.6,800,100,13:22:47
+1.0,2013-02-26,2013-02-26 12:05:25,1,1,641d89ba7c36d364cfb63b42b157870c.jpg,5.6,800,160,12:05:25
+1.0,2012-03-20,2012-03-20 13:58:44,0,3,8b290a554098e4c7c0ed1c93ce3404e3.jpg,5.6,800,400,13:58:44
+1.0,2013-01-28,2013-01-28 12:41:43,1,1,9695ac763e468776098e5bd9ec00e5a5.jpg,5.6,800,100,12:41:43
+1.0,2013-01-29,2013-01-29 16:30:07,1,1,fbfdd6d03385b55f1ecc6cf348d0f179.jpg,5.6,800,400,16:30:07
+1.0,2012-03-20,2012-03-20 11:08:48,0,3,ea63929f9aa7db59c5d1e1df2880dab1.jpg,5.6,800,400,11:08:48
+1.0,2013-02-13,2013-02-13 12:01:32,1,1,3d7d233031338bccfd29a3a931ebcdec.jpg,5.6,800,100,12:01:32
+1.0,2013-02-13,2013-02-13 12:54:08,1,1,09ccf134b111887cf155167cbf8d28d8.jpg,5.6,800,100,12:54:08
+1.0,2012-03-20,2012-03-20 09:42:13,0,3,14345f6c71ce4e6e1ed39d4cc2fd73b7.jpg,5.6,800,400,09:42:13
+1.0,2012-03-22,2012-03-22 11:04:47,0,3,843860d5585b1cedc449193bbc6d2cef.jpg,5.6,800,400,11:04:47
+1.0,2013-02-26,2013-02-26 12:04:48,1,1,471fb81cec5f049ae231b8a862727383.jpg,5.6,800,160,12:04:48
+1.0,2012-03-22,2012-03-22 11:08:00,0,3,7ee37e95392196afb1393b94d676d454.jpg,5.6,800,400,11:08:00
+1.0,2013-02-26,2013-02-26 12:12:34,1,1,ca037d0ebdf50e5ebba77b4e834fa895.jpg,5.6,800,200,12:12:34
+1.0,2013-02-26,2013-02-26 12:19:20,1,1,eb8f7e560279c73c759633c2f04778c1.jpg,5.6,800,200,12:19:20
+1.0,2013-01-28,2013-01-28 12:38:46,1,1,b85e8715ac32ac753fed12aaa09f308b.jpg,5.6,800,100,12:38:46
+1.0,2012-03-08,2012-03-08 10:43:46,0,3,843eeaa7aeeb933e3e1fb00a5f6741bb.jpg,5.6,800,400,10:43:46
+1.0,2013-01-28,2013-01-28 12:38:56,1,1,9d8b525c23fba373fa268048a771cad5.jpg,5.6,800,100,12:38:56
+1.0,2012-03-20,2012-03-20 13:58:53,0,3,de11129e685eefd0ba0b9dd21443e76c.jpg,5.6,800,400,13:58:53
+1.0,2013-02-13,2013-02-13 13:15:33,1,1,6dc0f72ea740d77526a877e0018270b7.jpg,5.6,800,100,13:15:33
+1.0,2013-02-20,2013-02-20 12:03:46,1,1,3eb2f97b48e0e53ef3599477d3876771.jpg,5.6,800,160,12:03:46
+1.0,2013-01-28,2013-01-28 12:37:49,1,1,13b060de1bf67c39a9d21cbd14b09987.jpg,5.6,800,100,12:37:49
+1.0,2013-01-28,2013-01-28 12:38:45,1,1,afc27cfa50e61c258ea65258a90cfcf1.jpg,5.6,800,100,12:38:45
+1.0,2012-04-03,2012-04-03 11:06:58,0,3,b0260376b6be6f012ee019e08b54a7ca.jpg,5.6,800,400,11:06:58
+1.0,2013-02-13,2013-02-13 13:18:39,1,1,902266273330a855726a2ef2895b437f.jpg,5.6,800,100,13:18:39
+1.0,2013-02-19,2013-02-19 16:31:38,1,1,ac2f0052c819b7de0759b4b8727688a8.jpg,5.6,800,320,16:31:38
+1.0,2012-03-08,2012-03-08 12:12:16,0,3,8bd4722fd93cc8355201367674087be0.jpg,5.6,800,400,12:12:16
+1.0,2013-02-20,2013-02-20 12:04:05,1,1,ad8c2e44f38f64c22494cbe7811aacfb.jpg,5.6,800,200,12:04:05
+1.0,2013-01-28,2013-01-28 12:41:39,1,1,e4103250505dbd0f1e854d1fcbdcccae.jpg,5.6,800,100,12:41:39
+1.0,2013-01-28,2013-01-28 12:33:23,1,1,1bfa8ee3331ca3bcee16f62d4bcb33cf.jpg,5.6,800,100,12:33:23
+1.0,2012-03-22,2012-03-22 11:07:02,0,3,4f78b660310e7fee9994b64c02e464ae.jpg,5.6,800,400,11:07:02
+1.0,2012-04-03,2012-04-03 11:05:03,0,3,8519e2ca66d5de2791bb656805562366.jpg,5.6,800,400,11:05:03
+1.0,2012-04-03,2012-04-03 11:08:46,0,3,d69f0ff39d974427d59e4bc5f922f3e8.jpg,5.6,800,400,11:08:46
+1.0,2013-02-19,2013-02-19 16:24:44,1,1,4b5ca99ad0f3e0899bff604a901a2532.jpg,5.6,800,400,16:24:44
+1.0,2012-04-03,2012-04-03 09:35:47,0,3,89ce829e8ea25b0ff9b3d6d189ad620e.jpg,5.6,800,400,09:35:47
+1.0,2012-04-03,2012-04-03 11:05:46,0,3,659417bc69bbea55e1b74b1d71d293af.jpg,5.6,800,400,11:05:46
+1.0,2012-03-20,2012-03-20 13:57:23,0,3,816f24acd080139603d46a8e5458a8b9.jpg,5.6,800,400,13:57:23
+1.0,2013-01-28,2013-01-28 12:33:26,1,1,5d27672459e05f2556e64580d3d3dafb.jpg,5.6,800,100,12:33:26
+1.0,2013-02-20,2013-02-20 12:10:52,1,1,f30574ed1d93632f4363a35b6a49c4ec.jpg,5.6,800,160,12:10:52
+1.0,2012-04-03,2012-04-03 11:13:05,0,3,e71af750ded9e3bb84aaefcd98a3be9c.jpg,5.6,800,400,11:13:05
+1.0,2013-01-28,2013-01-28 12:40:26,1,1,53231aa2fff2d7cde18ff0e33a24408b.jpg,5.6,800,100,12:40:26
+1.0,2012-03-20,2012-03-20 13:56:57,0,3,cfbdf5b34d33b6a7eb29176511eee61d.jpg,5.6,800,400,13:56:57
+1.0,2013-01-29,2013-01-29 12:09:47,1,1,fbcf8e5b023bfbd34c2a31c78bd32bc2.jpg,5.6,800,100,12:09:47
+1.0,2012-03-20,2012-03-20 11:06:37,0,3,f75a967d34029602c49b5cd46e1cb2ad.jpg,5.6,800,400,11:06:37
+1.0,2013-02-13,2013-02-13 12:47:40,1,1,fe8518e9c4f664a03b810f5ab39f908a.jpg,5.6,800,100,12:47:40
+1.0,2013-01-29,2013-01-29 16:34:58,1,1,e6b1efd8f64fcdbb7be7c4a785ad1d91.jpg,5.6,800,320,16:34:58
+1.0,2013-02-20,2013-02-20 12:13:58,1,1,b5c6bbffb0f3f00936a1afa26a7af2a8.jpg,5.6,800,160,12:13:58
+1.0,2013-01-28,2013-01-28 12:33:09,1,1,b07803e899264d4e83b316bcbd449e45.jpg,5.6,800,100,12:33:09
+1.0,2012-03-22,2012-03-22 11:09:43,0,3,b7b6ec5a0cfb1411e7f2ecff1fbb18fe.jpg,5.6,800,400,11:09:43
+1.0,2013-01-28,2013-01-28 12:34:07,1,1,989dcdc313c426ca0531bef6ff1b50ab.jpg,5.6,800,100,12:34:07
+1.0,2012-03-20,2012-03-20 09:41:35,0,3,77ef5b978e819a6bcf32f730f75896c1.jpg,5.6,800,400,09:41:35
+1.0,2013-02-19,2013-02-19 16:33:45,1,1,312743a3b8fefe5f8b473bd7ae4abacb.jpg,5.6,800,400,16:33:45
+1.0,2012-03-08,2012-03-08 14:53:35,0,3,9d1cdfd1db66e95b9a976428a7efb1db.jpg,5.6,800,400,14:53:35
+1.0,2013-02-19,2013-02-19 16:26:34,1,1,e378af1c6f00190a6022243079b9c604.jpg,5.6,800,500,16:26:34
+1.0,2012-03-06,2012-03-06 13:28:30,0,3,346db85044894ac6e92b13a0758484bc.jpg,5.6,800,400,13:28:30
+1.0,2013-01-28,2013-01-28 12:37:48,1,1,2d257d1fc83600c59e808339f6f2eac3.jpg,5.6,800,100,12:37:48
+1.0,2013-02-26,2013-02-26 12:04:50,1,1,0d8708f780852eebd859487d8c063979.jpg,5.6,800,160,12:04:50
+1.0,2012-04-24,2012-04-24 09:43:26,0,3,7f939886d76328f1b4c6ebd91afa17ef.jpg,5.6,800,400,09:43:26
+1.0,2013-02-20,2013-02-20 12:01:37,1,1,f7a0a152c39eb89e23c5d94c6a505c4a.jpg,5.6,800,200,12:01:37
+1.0,2013-01-29,2013-01-29 16:34:08,1,1,ca400483967050708517faca13b636ba.jpg,5.6,800,320,16:34:08
+1.0,2013-02-19,2013-02-19 16:26:54,1,1,44d3b6e36a4b52ac2f025b2f2fef17e6.jpg,5.6,800,500,16:26:54
+1.0,2013-01-29,2013-01-29 12:08:25,1,1,a2a25eb77742a6b244700c1ab2e60078.jpg,5.6,800,100,12:08:25
+1.0,2012-03-22,2012-03-22 11:04:09,0,3,485c305f622a194f82f89bc2e5865312.jpg,5.6,800,400,11:04:09
+1.0,2013-02-19,2013-02-19 16:28:28,1,1,a6e7e7593eef296fd85c9955f1c3c339.jpg,5.6,800,320,16:28:28
+1.0,2012-04-03,2012-04-03 11:13:00,0,3,13664e91f84b2b4729d39a9d84595a7d.jpg,5.6,800,400,11:13:00
+1.0,2012-03-08,2012-03-08 12:10:16,0,3,31e8d3fe96468c1e09c3e3753a98cdef.jpg,5.6,800,400,12:10:16
+1.0,2012-04-03,2012-04-03 09:36:34,0,3,b26c6a12854c078724069fc8d9865dd5.jpg,5.6,800,400,09:36:34
+1.0,2013-01-28,2013-01-28 12:34:10,1,1,3ec3e79a24c386ba21ad7f918db591a2.jpg,5.6,800,100,12:34:10
+1.0,2012-03-13,2012-03-13 11:11:28,0,3,eab3f29507068e9df2d7bc75f67a9e55.jpg,5.6,800,400,11:11:28
+1.0,2013-01-29,2013-01-29 16:24:53,1,1,383d7f40e6c38be1e1febba1a2e47376.jpg,5.6,800,640,16:24:53
+1.0,2012-03-20,2012-03-20 11:06:38,0,3,5822661dfaf3eda385c4279b11474157.jpg,5.6,800,400,11:06:38
+1.0,2012-04-03,2012-04-03 09:36:25,0,3,b1a85ba9515bf277337871f0bc52d83e.jpg,5.6,800,400,09:36:25
+1.0,2012-03-20,2012-03-20 11:05:54,0,3,c18cb0d1077667a2674d7fab65d95f8d.jpg,5.6,800,400,11:05:54
+1.0,2013-02-19,2013-02-19 16:32:24,1,1,810009f83854227da78296bc79336b92.jpg,5.6,800,320,16:32:24
+1.0,2013-02-13,2013-02-13 12:14:46,1,1,9e388ecdfa0c1ae2cd15823a9e47f25b.jpg,5.6,800,100,12:14:46
+1.0,2013-02-19,2013-02-19 16:14:30,1,1,39545c6d39ea74099187603af3900821.jpg,5.6,800,320,16:14:30
+1.0,2013-01-29,2013-01-29 12:27:30,1,1,2b3bd2555f80d40992fe611f92e099c2.jpg,5.6,800,100,12:27:30
+1.0,2013-01-29,2013-01-29 12:27:22,1,1,10dd551c44c574ed623595d8d042b72c.jpg,5.6,800,100,12:27:22
+1.0,2012-04-03,2012-04-03 09:36:31,0,3,0288ddde2067a868957f1eacec9d13c0.jpg,5.6,800,400,09:36:31
+1.0,2012-04-03,2012-04-03 09:38:13,0,3,ef1faedf4676d98788dc61a48a0250b9.jpg,5.6,800,400,09:38:13
+1.0,2012-03-20,2012-03-20 15:23:41,0,3,95a11bcdc55362f1e59e3674e0106388.jpg,5.6,800,400,15:23:41
+1.0,2013-01-28,2013-01-28 12:33:11,1,1,a34f700e60d180b2db6b53e59c2e14ea.jpg,5.6,800,100,12:33:11
+1.0,2013-02-19,2013-02-19 16:30:23,1,1,6c14cebc99f5a9f571f1d5676275568d.jpg,5.6,800,320,16:30:23
+1.0,2013-01-29,2013-01-29 16:32:58,1,1,4fb23cdcbdc52309347f3189b86431e5.jpg,5.6,800,400,16:32:58
+1.0,2013-02-19,2013-02-19 16:22:54,1,1,b87361bbddcc5a464507700289dcb211.jpg,5.6,800,400,16:22:54
+1.0,2013-02-19,2013-02-19 16:17:06,1,1,3fb083ff8be206a12830488b361299dc.jpg,5.6,800,320,16:17:06
+1.0,2013-02-20,2013-02-20 12:27:30,1,1,c5ad3400987f20358b90658f2fd480cb.jpg,5.6,800,100,12:27:30
+1.0,2013-02-19,2013-02-19 16:33:56,1,1,948d5b0482a72015e419d58dfe96061c.jpg,5.6,800,500,16:33:56
+1.0,2012-02-23,2012-02-23 14:54:49,0,3,4e7304a4cda5959b0597adfec7af2fa4.jpg,5.6,800,400,14:54:49
+1.0,2012-03-20,2012-03-20 15:24:58,0,3,bd33797448dbccbdaa19ed1dc53b2004.jpg,5.6,800,400,15:24:58
+1.0,2013-02-19,2013-02-19 16:17:42,1,1,8a8d3d87deb81089a33dafada0f785ae.jpg,5.6,800,320,16:17:42
+1.0,2012-03-06,2012-03-06 13:28:22,0,3,3894a69ed2e95ea912695291d3e35ed2.jpg,5.6,800,400,13:28:22
+1.0,2012-03-20,2012-03-20 12:30:53,0,3,d6100b9bd44188f2b4de955a12f274d1.jpg,5.6,800,400,12:30:53
+1.0,2013-01-29,2013-01-29 12:19:55,1,1,5d38838837d38eb724b917bc112a4e6d.jpg,5.6,800,100,12:19:55
+1.0,2012-04-24,2012-04-24 09:41:33,0,3,d15e01fc03e6a5da70663b520e170090.jpg,5.6,800,400,09:41:33
+1.0,2013-02-20,2013-02-20 12:25:19,1,1,75bc5f3274c5fc332a2ee7ccca12a011.jpg,5.6,800,100,12:25:19
+1.0,2012-02-23,2012-02-23 14:54:51,0,3,2957d964b98c43af1a000715e17fb898.jpg,5.6,800,400,14:54:51
+1.0,2013-02-13,2013-02-13 12:42:24,1,1,99c9fd143bd457e40d559c8771cba647.jpg,5.6,800,100,12:42:24
+1.0,2013-02-19,2013-02-19 16:26:28,1,1,9cb3f3fcf3f9aa24a69140c8edf7a7dc.jpg,5.6,800,320,16:26:28
+1.0,2012-04-03,2012-04-03 09:42:56,0,3,eb8b58f20eed7d3a6d02242e42272ad0.jpg,5.6,800,400,09:42:56
+1.0,2012-04-03,2012-04-03 11:06:28,0,3,74e508676d9f29584be30dabac8ff198.jpg,5.6,800,400,11:06:28
+1.0,2013-02-20,2013-02-20 12:23:53,1,1,54b8907054f08bd60184cdb45a6ccabb.jpg,5.6,800,100,12:23:53
+1.0,2013-01-28,2013-01-28 12:38:39,1,1,2ec07f089cc8cba65d4c3cd1d2159f7b.jpg,5.6,800,100,12:38:39
+1.0,2013-01-29,2013-01-29 12:11:58,1,1,7bfb41c77e197747e17b98b33e274a74.jpg,5.6,800,100,12:11:58
+1.0,2013-02-26,2013-02-26 12:05:05,1,1,c575a0455164b8c9679ba735f32f5c29.jpg,5.6,800,160,12:05:05
+1.0,2013-01-29,2013-01-29 12:17:13,1,1,f258dbf252486a9612b18d5d4f7b3e08.jpg,5.6,800,100,12:17:13
+1.0,2013-01-29,2013-01-29 12:16:54,1,1,2e894339c91189978d26aaa853e6b1f4.jpg,5.6,800,100,12:16:54
+1.0,2013-02-26,2013-02-26 12:25:06,1,1,8920523bbc658c586b494c0ad743cd09.jpg,5.6,800,200,12:25:06
+1.0,2013-01-28,2013-01-28 12:38:47,1,1,f6b9f47df54c75e838769426cfac5253.jpg,5.6,800,100,12:38:47
+1.0,2013-01-29,2013-01-29 12:09:29,1,1,8a3c1946550a4029a8b1e93044f97c60.jpg,5.6,800,100,12:09:29
+1.0,2013-02-20,2013-02-20 12:10:11,1,1,a954074ff523886e876c42f727f72dfb.jpg,5.6,800,160,12:10:11
+1.0,2013-01-28,2013-01-28 12:34:43,1,1,857baac364ea946fedf22218eb682376.jpg,5.6,800,100,12:34:43
+1.0,2013-02-26,2013-02-26 12:04:52,1,1,0f8d152ab1fcba866355e6bb5a10e2fb.jpg,5.6,800,160,12:04:52
+1.0,2013-01-28,2013-01-28 12:37:54,1,1,a875ffbf576b7532c0a7bc26428017e1.jpg,5.6,800,100,12:37:54
+1.0,2013-01-29,2013-01-29 16:23:48,1,1,c3866b65fc3186ab21dedc9c5e716a31.jpg,5.6,800,320,16:23:48
+1.0,2013-01-29,2013-01-29 16:34:19,1,1,5eb81d27af197f7edc4467e601d441e8.jpg,5.6,800,640,16:34:19
+1.0,2012-03-22,2012-03-22 13:58:33,0,3,10d82ee40da59438edbae132f9fa33ae.jpg,5.6,800,400,13:58:33
+1.0,2012-03-20,2012-03-20 11:08:51,0,3,cfa401185add0c5e9f56fca46163014b.jpg,5.6,800,400,11:08:51
+1.0,2013-02-26,2013-02-26 12:08:31,1,1,df222cc2b8b08e7a33aef4b3e53c29fd.jpg,5.6,800,200,12:08:31
+1.0,2013-01-29,2013-01-29 12:12:53,1,1,edafa1ec2e13a047f72024b390f7bdff.jpg,5.6,800,100,12:12:53
+1.0,2012-04-03,2012-04-03 11:12:03,0,3,3cbe57514ff3713e1926cbc60b745ea3.jpg,5.6,800,400,11:12:03
+1.0,2012-03-20,2012-03-20 13:58:10,0,3,b63228659eb226e7b90f38e9b70be40a.jpg,5.6,800,400,13:58:10
+1.0,2012-03-20,2012-03-20 12:29:08,0,3,d8f19620eafc468419c2549ec52d04b1.jpg,5.6,800,400,12:29:08
+1.0,2012-03-20,2012-03-20 12:30:03,0,3,392e763efd0921da3bcbebc82835621d.jpg,5.6,800,400,12:30:03
+1.0,2012-03-08,2012-03-08 10:47:48,0,3,97094f0acf862c6e2887214a2f847790.jpg,5.6,800,400,10:47:48
+1.0,2012-04-03,2012-04-03 09:35:05,0,3,c0a6049b6d10d4c49960fdac98246376.jpg,5.6,800,400,09:35:05
+1.0,2012-04-03,2012-04-03 11:13:04,0,3,d8710f688c34e19ade5d1afd16a3acec.jpg,5.6,800,400,11:13:04
+1.0,2012-03-06,2012-03-06 13:31:31,0,3,4c91b229e8cd8830e65cb7e224844ba2.jpg,5.6,800,400,13:31:31
+1.0,2012-03-20,2012-03-20 12:32:17,0,3,e8e2f7ff4477f7e9674a9b941ec588f2.jpg,5.6,800,400,12:32:17
+1.0,2013-02-20,2013-02-20 12:09:27,1,1,3f2bbebc66d0a156c26693e0428f1f2e.jpg,5.6,800,200,12:09:27
+1.0,2013-02-20,2013-02-20 12:03:02,1,1,6d837eef020d0ecedd6afc0ebb3ed538.jpg,5.6,800,160,12:03:02
+1.0,2012-04-03,2012-04-03 11:13:06,0,3,f13c029c15bcca7abd4e5885ae116d56.jpg,5.6,800,400,11:13:06
+1.0,2013-02-19,2013-02-19 16:28:59,1,1,c2fef715ece3f87850114defe2ad8c52.jpg,5.6,800,320,16:28:59
+1.0,2012-03-08,2012-03-08 15:01:04,0,3,003c288648b575a390bd72969cdfb0e1.jpg,5.6,800,400,15:01:04
+1.0,2013-02-19,2013-02-19 16:33:52,1,1,9e32addc68ad76f60cd87773d56478aa.jpg,5.6,800,320,16:33:52
+1.0,2012-03-20,2012-03-20 11:05:30,0,3,0626fa5c2c694f7643b4e1e4f6802495.jpg,5.6,800,400,11:05:30
+1.0,2012-03-20,2012-03-20 12:30:44,0,3,9ba30fc2231ac7e3a720d65f6c6e3fe9.jpg,5.6,800,400,12:30:44
+1.0,2013-02-26,2013-02-26 12:09:33,1,1,91365d0560195c638aec57f8e36ae474.jpg,5.6,800,200,12:09:33
+1.0,2012-03-20,2012-03-20 13:58:11,0,3,1a728df9589b699204eaf0b28d387322.jpg,5.6,800,400,13:58:11
+1.0,2012-03-08,2012-03-08 14:58:08,0,3,44ff16cd29ec20f60cba3b48919c798c.jpg,5.6,800,400,14:58:08
+1.0,2012-04-03,2012-04-03 11:06:20,0,3,290b040289101e2fa1110227d313ce54.jpg,5.6,800,400,11:06:20
+1.0,2012-03-20,2012-03-20 15:25:00,0,3,935afd0cc3aa05529d77977f79cb3729.jpg,5.6,800,400,15:25:00
+1.0,2013-01-28,2013-01-28 12:35:35,1,1,aab108b21df86c3b4a6d2933ae791c0e.jpg,5.6,800,100,12:35:35
+1.0,2013-02-20,2013-02-20 12:22:14,1,1,fa0461fef328348e91cf0ca611293ae0.jpg,5.6,800,100,12:22:14
+1.0,2013-02-13,2013-02-13 13:20:51,1,1,473a447f10f940c646dd85c332af7637.jpg,5.6,800,100,13:20:51
+1.0,2013-01-29,2013-01-29 12:34:22,1,1,33ab1b263cd49898e826931a4458bda0.jpg,5.6,800,100,12:34:22
+1.0,2012-03-20,2012-03-20 13:58:01,0,3,d6b4e32a4a7bd8f375108b8905a7b5d3.jpg,5.6,800,400,13:58:01
+1.0,2013-02-26,2013-02-26 12:19:28,1,1,e8eb5fa9cc2bbe93f019d1979ad64e5c.jpg,5.6,800,200,12:19:28
+1.0,2013-02-20,2013-02-20 12:07:58,1,1,6bbe28c17550dfd1ecc567d5def3124a.jpg,5.6,800,250,12:07:58
+1.0,2013-01-28,2013-01-28 12:34:36,1,1,97efb1b3f2c9e6c18e567683873fd760.jpg,5.6,800,100,12:34:36
+1.0,2012-03-06,2012-03-06 13:32:10,0,3,0185060c20749184c8d1fc4278c3bb1e.jpg,5.6,800,400,13:32:10
+1.0,2013-02-19,2013-02-19 16:22:24,1,1,078f4bcef150033ca0606d5b3ab737a6.jpg,5.6,800,320,16:22:24
+1.0,2012-04-03,2012-04-03 11:07:49,0,3,72bed220eef59cfdc2907c3fe5b8d306.jpg,5.6,800,400,11:07:49
+1.0,2013-01-29,2013-01-29 16:31:16,1,1,809655729a921f55bb6a825d1f5269c8.jpg,5.6,800,320,16:31:16
+1.0,2013-01-28,2013-01-28 12:33:07,1,1,319c7113841769a64edaf19b4147474b.jpg,5.6,800,100,12:33:07
+1.0,2013-02-20,2013-02-20 12:11:27,1,1,c634d70477a7e1ec210be2c6504e1465.jpg,5.6,800,200,12:11:27
+1.0,2012-04-03,2012-04-03 09:35:08,0,3,286a916faf94c4237309182ca3bf08db.jpg,5.6,800,400,09:35:08
+1.0,2013-01-29,2013-01-29 12:31:21,1,1,9e893f575a8c84cd3e17d1995e6e5503.jpg,5.6,800,100,12:31:21
+1.0,2012-04-03,2012-04-03 09:42:30,0,3,a9532f03159f54fac00d4ca853ffc2ac.jpg,5.6,800,400,09:42:30
+1.0,2012-03-20,2012-03-20 15:22:54,0,3,ad9c7ccd7dab0a66da00239979546383.jpg,5.6,800,400,15:22:54
+1.0,2012-03-22,2012-03-22 11:04:59,0,3,4ace649cef06474a6a602f6f3d03601f.jpg,5.6,800,400,11:04:59
+1.0,2013-01-29,2013-01-29 12:30:58,1,1,3901cc5ed1c3d3969a5ef05414c4e355.jpg,5.6,800,100,12:30:58
+1.0,2013-02-19,2013-02-19 16:18:48,1,1,a9b2da79411ae10dc12c96352ac4b413.jpg,5.6,800,400,16:18:48
+1.0,2012-04-03,2012-04-03 11:09:46,0,3,ba979ec003e0a517ec0894a4b2e25484.jpg,5.6,800,400,11:09:46
+1.0,2012-04-03,2012-04-03 09:37:02,0,3,fac6b525fb0038cdcf9ef2d47fed7b4b.jpg,5.6,800,400,09:37:02
+1.0,2013-01-29,2013-01-29 16:34:07,1,1,32036f0e57c655256c1de65a217cf4fd.jpg,5.6,800,320,16:34:07
+1.0,2012-04-03,2012-04-03 11:13:02,0,3,e8e46a1fa6c24f8f7723988c2d136957.jpg,5.6,800,400,11:13:02
+1.0,2012-04-03,2012-04-03 09:44:59,0,3,cb7f08e53780dd02ef4f03d1e394dbcb.jpg,5.6,800,400,09:44:59
+1.0,2012-04-03,2012-04-03 12:33:17,0,3,7bf1951444043b921b1d265ad5e8d939.jpg,5.6,800,400,12:33:17
+1.0,2013-02-13,2013-02-13 12:00:06,1,1,7fa1b41fbb79d03b6ff0b3fed21060b7.jpg,5.6,800,100,12:00:06
+1.0,2013-01-29,2013-01-29 16:32:25,1,1,f59613016594ecea454b8aa4051ddfed.jpg,5.6,800,500,16:32:25
+1.0,2013-02-13,2013-02-13 12:34:09,1,1,3adcf86bd09830d3ef2be75424a9b570.jpg,5.6,800,100,12:34:09
+1.0,2012-04-03,2012-04-03 11:11:14,0,3,8fed4b531b12f99541f6f9a66d4a98be.jpg,5.6,800,400,11:11:14
+1.0,2013-02-26,2013-02-26 12:09:27,1,1,3bda4354653169537b8f323fcc9a19b9.jpg,5.6,800,160,12:09:27
+1.0,2013-01-28,2013-01-28 12:37:42,1,1,b62c9d80ba49d7d4251edbf776322460.jpg,5.6,800,100,12:37:42
+1.0,2013-02-19,2013-02-19 16:18:46,1,1,fb484ed517d3772870c312c176b042b3.jpg,5.6,800,320,16:18:46
+1.0,2012-04-03,2012-04-03 09:38:19,0,3,af4760afaee2d8cd0a9604dd362e3234.jpg,5.6,800,400,09:38:19
+1.0,2013-02-20,2013-02-20 12:25:16,1,1,a6501bf2d88c3d55c83c6aad03d3313a.jpg,5.6,800,100,12:25:16
+1.0,2013-01-29,2013-01-29 16:21:25,1,1,a4ace903dca78f08e4d57d352c208b21.jpg,5.6,800,200,16:21:25
+1.0,2013-02-20,2013-02-20 12:13:38,1,1,616f3fe9b14fa61325471296d7b93686.jpg,5.6,800,160,12:13:38
+1.0,2013-01-28,2013-01-28 12:34:48,1,1,a3dd0b9f00bef34143f7cf8d825b090e.jpg,5.6,800,100,12:34:48
+1.0,2013-01-29,2013-01-29 12:34:18,1,1,90758449e3dad65e19bee89ccde7ad37.jpg,5.6,800,100,12:34:18
+1.0,2012-03-20,2012-03-20 15:23:00,0,3,3a1677c04830dde8021540d95e2652c8.jpg,5.6,800,400,15:23:00
+1.0,2013-01-28,2013-01-28 12:40:11,1,1,160abdb3c8adab99a54de221c303a99a.jpg,5.6,800,100,12:40:11
+1.0,2013-02-13,2013-02-13 12:33:01,1,1,95efb098711a42f3887b7122344928e1.jpg,5.6,800,100,12:33:01
+1.0,2013-01-29,2013-01-29 16:31:38,1,1,4c89c1401a81e5d6f4a2d6f2fcac3a06.jpg,5.6,800,500,16:31:38
+1.0,2012-03-20,2012-03-20 12:35:12,0,3,7535915b260799c59313f82fa9a79a30.jpg,5.6,800,400,12:35:12
+1.0,2012-03-08,2012-03-08 10:47:12,0,3,c34c68eceba7974e4667d73a37513336.jpg,5.6,800,400,10:47:12
+1.0,2012-03-22,2012-03-22 11:09:57,0,3,024175678a51ae742fe75c606f362574.jpg,5.6,800,400,11:09:57
+1.0,2013-02-26,2013-02-26 12:17:40,1,1,5ca4a71b81f450b16d7ed0c8cf44b2c7.jpg,5.6,800,200,12:17:40
+1.0,2012-03-20,2012-03-20 12:32:25,0,3,da59585373aa32ac214f1292c3480bdb.jpg,5.6,800,400,12:32:25
+1.0,2012-03-08,2012-03-08 10:47:40,0,3,4526f740d211027e075a0fea64993ec3.jpg,5.6,800,400,10:47:40
+1.0,2013-02-20,2013-02-20 12:26:31,1,1,92265541f7dbaa1105fd9f0d241fe147.jpg,5.6,800,100,12:26:31
+1.0,2012-03-06,2012-03-06 13:27:33,0,3,93caadcba838dbeb9134f04e21663e53.jpg,5.6,800,400,13:27:33
+1.0,2012-03-08,2012-03-08 14:56:12,0,3,f9848c3e658a965aa608f129fcd215be.jpg,5.6,800,400,14:56:12
+1.0,2012-03-20,2012-03-20 15:22:20,0,3,cd05a7591230f0c8cb2b9f4e5341cd80.jpg,5.6,800,400,15:22:20
+1.0,2012-03-20,2012-03-20 12:35:59,0,3,e6548fbb63a3e1c6c7032a36850c6126.jpg,5.6,800,400,12:35:59
+1.0,2012-03-13,2012-03-13 11:11:07,0,3,1913a559fe0ae7cc2b78fdee039424b8.jpg,5.6,800,400,11:11:07
+1.0,2012-03-08,2012-03-08 10:47:17,0,3,3931c4fe267558d8bebb5377bc055248.jpg,5.6,800,400,10:47:17
+1.0,2013-01-29,2013-01-29 12:14:55,1,1,b644620fd61a63174fb059ec85b88918.jpg,5.6,800,100,12:14:55
+1.0,2013-02-13,2013-02-13 12:00:05,1,1,aaf157dc7643bf938efae6afdfac0944.jpg,5.6,800,100,12:00:05
+1.0,2013-02-13,2013-02-13 13:00:13,1,1,c4e6143cc72cd962315c96437f036023.jpg,5.6,800,100,13:00:13
+1.0,2013-02-26,2013-02-26 12:04:10,1,1,97b9c6f968148f88fa2c00ed473998dd.jpg,5.6,800,160,12:04:10
+1.0,2012-04-03,2012-04-03 09:39:46,0,3,bf1fbc5a49b482c4839757aed01b8435.jpg,5.6,800,400,09:39:46
+1.0,2013-02-13,2013-02-13 13:01:26,1,1,caac906334ac79b6db13c77912ba97dd.jpg,5.6,800,100,13:01:26
+1.0,2013-02-19,2013-02-19 16:28:51,1,1,f53f9091331efb038b29792162be90d1.jpg,5.6,800,320,16:28:51
+1.0,2013-02-20,2013-02-20 12:08:43,1,1,e4dc701299a83eca5a8e41a201dbff20.jpg,5.6,800,200,12:08:43
+1.0,2013-01-29,2013-01-29 12:33:55,1,1,a6636e050a4cc7bf46c789b03f4adbbd.jpg,5.6,800,100,12:33:55
+1.0,2012-04-03,2012-04-03 11:09:05,0,3,4fdd415756466bb7268bd1a76ea07967.jpg,5.6,800,400,11:09:05
+1.0,2012-03-20,2012-03-20 11:07:03,0,3,9bb1f7558daabae9e0acef24bd84f2f0.jpg,5.6,800,400,11:07:03
+1.0,2012-03-20,2012-03-20 13:56:28,0,3,9273a3839ef348b08c0d6ed7b4d727d8.jpg,5.6,800,400,13:56:28
+1.0,2012-03-06,2012-03-06 13:30:16,0,3,52aab51d2f51db77f773a5b2a0718598.jpg,5.6,800,400,13:30:16
+1.0,2012-03-20,2012-03-20 13:57:54,0,3,51860bb24a0cfecb82f0f36ae16961aa.jpg,5.6,800,400,13:57:54
+1.0,2013-01-28,2013-01-28 12:40:53,1,1,fbeb1ce2876811a48694ffed34d1ecb0.jpg,5.6,800,100,12:40:53
+1.0,2013-02-26,2013-02-26 12:10:59,1,1,2ac7b5fd3fee483740dac295f742cfb0.jpg,5.6,800,200,12:10:59
+1.0,2013-01-28,2013-01-28 12:42:47,1,1,0f5f99804a2116a6d99d896e0a422995.jpg,5.6,800,100,12:42:47
+1.0,2012-03-08,2012-03-08 10:46:28,0,3,aca28cdbbe0e3d761a6b67b89e0fdb33.jpg,5.6,800,400,10:46:28
+1.0,2013-02-26,2013-02-26 12:04:22,1,1,7162cf147d8a734b677294abc956b895.jpg,5.6,800,160,12:04:22
+1.0,2013-02-13,2013-02-13 13:16:21,1,1,34c76939cd907d2c9fd37f7b41d474dd.jpg,5.6,800,100,13:16:21
+1.0,2012-03-22,2012-03-22 14:02:59,0,3,c550275aed49c15c1be615dbed719efe.jpg,5.6,800,400,14:02:59
+1.0,2013-02-20,2013-02-20 12:36:30,1,1,b4106049216a911180c36b17645f8ceb.jpg,5.6,800,100,12:36:30
+1.0,2012-03-06,2012-03-06 13:29:35,0,3,b534528c4575cb57ba45515e55dd135f.jpg,5.6,800,400,13:29:35
+1.0,2012-04-03,2012-04-03 09:44:50,0,3,c804a33e9c39476824a0e740bbac1651.jpg,5.6,800,400,09:44:50
+1.0,2013-01-29,2013-01-29 12:07:44,1,1,3cb432caffce08956948b53c98ab1601.jpg,5.6,800,100,12:07:44
+1.0,2012-03-20,2012-03-20 15:24:23,0,3,0374f56a8ea4d7d2917eee8b230d06c7.jpg,5.6,800,400,15:24:23
+1.0,2012-03-22,2012-03-22 11:08:28,0,3,3f0e709380b588a1ce18fbad6d58e5aa.jpg,5.6,800,400,11:08:28
+1.0,2012-03-22,2012-03-22 11:11:19,0,3,bd6a01800dbee49b02a1a74ecfe1c6c5.jpg,5.6,800,400,11:11:19
+1.0,2012-03-08,2012-03-08 14:53:57,0,3,d1cda42d6e594265e872c76daebf83c1.jpg,5.6,800,400,14:53:57
+1.0,2013-01-29,2013-01-29 12:09:56,1,1,6fd282e7c7cae126ae7ce8559f3004e8.jpg,5.6,800,100,12:09:56
+1.0,2012-03-20,2012-03-20 12:30:38,0,3,d72bd2ff3588e22b6f4535f975cc9895.jpg,5.6,800,400,12:30:38
+1.0,2013-01-29,2013-01-29 16:23:29,1,1,775399d472c1ee092c7d9f1026b5b8d4.jpg,5.6,800,500,16:23:29
+1.0,2012-03-20,2012-03-20 12:32:12,0,3,9c1fa3a23a27a7867369a7264ded41d6.jpg,5.6,800,400,12:32:12
+1.0,2013-01-29,2013-01-29 12:10:29,1,1,17d8e8bbc0db93f6b03a13b6d199ad81.jpg,5.6,800,100,12:10:29
+1.0,2013-02-26,2013-02-26 12:17:59,1,1,02fd544077f35ff44ee2899bb8d45cb8.jpg,5.6,800,200,12:17:59
+1.0,2012-03-06,2012-03-06 13:32:35,0,3,95c16b465b27fde6d92235b7c69e7a06.jpg,5.6,800,400,13:32:35
+1.0,2012-02-23,2012-02-23 14:55:18,0,3,4e1d349b6391980c0f76b1df6b33903f.jpg,5.6,800,400,14:55:18
+1.0,2013-01-28,2013-01-28 12:42:48,1,1,3f5b1924095ac023259b84d9a98d2418.jpg,5.6,800,100,12:42:48
+1.0,2013-01-28,2013-01-28 12:34:18,1,1,bdcbb601d7482d41837812b2c7ec639f.jpg,5.6,800,100,12:34:18
+1.0,2013-02-20,2013-02-20 12:28:48,1,1,22b85c994607e9346231695464589b88.jpg,5.6,800,100,12:28:48
+1.0,2013-02-13,2013-02-13 12:33:13,1,1,7a4b6ae5bc723964795fcc1753380d20.jpg,5.6,800,100,12:33:13
+1.0,2013-02-13,2013-02-13 12:20:18,1,1,e36ef7ca0553543aed1e7765edb0bc2c.jpg,5.6,800,100,12:20:18
+1.0,2012-03-08,2012-03-08 15:01:02,0,3,ac7f89771ed17143955bf7ad99730d2e.jpg,5.6,800,400,15:01:02
+1.0,2013-01-28,2013-01-28 12:42:41,1,1,7db560d1452c08fedc285997356f5050.jpg,5.6,800,100,12:42:41
+1.0,2012-03-08,2012-03-08 14:56:48,0,3,3633f5f3329334ae31fd884c2678784f.jpg,5.6,800,400,14:56:48
+1.0,2012-03-20,2012-03-20 15:25:14,0,3,1c2fd203b14db1175821c9ec047d0bec.jpg,5.6,800,400,15:25:14
+1.0,2013-02-26,2013-02-26 12:04:32,1,1,00432ef8e11b294d73fd69c55423d280.jpg,5.6,800,160,12:04:32
+1.0,2013-01-29,2013-01-29 12:30:52,1,1,925b878e94b789fe989b66cffffab84c.jpg,5.6,800,100,12:30:52
+1.0,2013-01-29,2013-01-29 12:32:36,1,1,31af9becdb270140777c7c4ce32d93c3.jpg,5.6,800,100,12:32:36
+1.0,2013-02-20,2013-02-20 12:13:57,1,1,d895aced473ab8c215fa3f1ae0cf1f8a.jpg,5.6,800,160,12:13:57
+1.0,2012-03-20,2012-03-20 12:28:39,0,3,ad9da3f23ab61d9da532acfe27649036.jpg,5.6,800,400,12:28:39
+1.0,2013-02-26,2013-02-26 12:19:29,1,1,288c75325502d3df6e2fb51815d2aba5.jpg,5.6,800,200,12:19:29
+1.0,2012-03-20,2012-03-20 11:08:40,0,3,21023ab5b9018caf3b6b5391bb5825d7.jpg,5.6,800,400,11:08:40
+1.0,2013-01-29,2013-01-29 12:17:00,1,1,273684ff11f76f89d914f184b8229788.jpg,5.6,800,100,12:17:00
+1.0,2013-02-19,2013-02-19 16:19:38,1,1,10197a41e4e60e88da74f6efdfce602a.jpg,5.6,800,320,16:19:38
+1.0,2013-02-13,2013-02-13 13:30:26,1,1,7e5b73c5ac9261c4902b1651ede74bac.jpg,5.6,800,100,13:30:26
+1.0,2012-04-03,2012-04-03 11:12:21,0,3,6086dda26f9b06430ee1da7b03877656.jpg,5.6,800,400,11:12:21
+1.0,2013-01-29,2013-01-29 16:27:39,1,1,6540ea7ccff2e0d76786bc12c6e8c284.jpg,5.6,800,250,16:27:39
+1.0,2012-03-06,2012-03-06 13:29:23,0,3,50d2dfa0cbc091cd1e38960086440c08.jpg,5.6,800,400,13:29:23
+1.0,2012-03-22,2012-03-22 11:10:24,0,3,a16d51207b3a1c63b4aed57057340069.jpg,5.6,800,400,11:10:24
+1.0,2013-02-20,2013-02-20 12:03:54,1,1,5f5cc9266d98e981c008e00aaa80fec7.jpg,5.6,800,200,12:03:54
+1.0,2013-02-19,2013-02-19 16:25:18,1,1,77f19174cf064e85c1d133550fc31238.jpg,5.6,800,320,16:25:18
+1.0,2012-03-20,2012-03-20 09:42:06,0,3,e348a6645672a4934193b545acfee3bf.jpg,5.6,800,400,09:42:06
+1.0,2013-02-20,2013-02-20 12:13:50,1,1,3d66b752a8ef6d670873f6e75428dd57.jpg,5.6,800,160,12:13:50
+1.0,2013-02-19,2013-02-19 16:22:32,1,1,2a9058bfdd6b3ca34c41d7a89d7a15e3.jpg,5.6,800,400,16:22:32
+1.0,2012-03-08,2012-03-08 10:47:16,0,3,b89d0024a83cbea9dda2843ea196997c.jpg,5.6,800,400,10:47:16
+1.0,2012-04-03,2012-04-03 11:12:09,0,3,c59ed9fb18774e15cd0cc78e71301f35.jpg,5.6,800,400,11:12:09
+1.0,2012-03-20,2012-03-20 12:28:37,0,3,e9de1293e86c334748669f60d219cff9.jpg,5.6,800,400,12:28:37
+1.0,2013-01-29,2013-01-29 16:30:54,1,1,9143d682b2657dbf41bca1cda5435efa.jpg,5.6,800,320,16:30:54
+1.0,2012-04-03,2012-04-03 09:44:54,0,3,829cd997eedd400849bab5fdfcb149b5.jpg,5.6,800,400,09:44:54
+1.0,2012-02-23,2012-02-23 14:58:48,0,3,ca71f5d9b2f3fa1a8c39e43f2bb2efa4.jpg,5.6,800,400,14:58:48
+1.0,2012-04-03,2012-04-03 11:09:13,0,3,89a1eb52addc05a1c3542415f5ddc420.jpg,5.6,800,400,11:09:13
+1.0,2012-03-20,2012-03-20 12:29:26,0,3,c162e2eba0ab450b404e31cb219cea27.jpg,5.6,800,400,12:29:26
+1.0,2013-01-29,2013-01-29 16:29:36,1,1,40b76bfe66034fd254b34145d7399d46.jpg,5.6,800,320,16:29:36
+1.0,2013-01-28,2013-01-28 12:38:44,1,1,34013a95791da0b257ac70aa58546185.jpg,5.6,800,100,12:38:44
+1.0,2012-04-03,2012-04-03 09:37:42,0,3,575fd2b20cf6f9bd928301129a011769.jpg,5.6,800,400,09:37:42
+1.0,2012-03-20,2012-03-20 15:23:34,0,3,d09378ebccdfe3bf9f1f073ada769374.jpg,5.6,800,400,15:23:34
+1.0,2013-01-29,2013-01-29 12:08:17,1,1,3ed59331500b90b4de06d0e5779ee782.jpg,5.6,800,100,12:08:17
+1.0,2012-04-12,2012-04-12 14:01:14,0,3,075bb61335f9f569558f6c0eed1dcece.jpg,5.6,800,400,14:01:14
+1.0,2013-01-29,2013-01-29 16:24:42,1,1,53d8f797e4885c2b2ce803bcb5f9f71e.jpg,5.6,800,200,16:24:42
+1.0,2012-04-03,2012-04-03 09:35:40,0,3,cb52c9fcec099ec4d50acb9157351f30.jpg,5.6,800,400,09:35:40
+1.0,2012-04-03,2012-04-03 09:38:08,0,3,934c6403b0d6efadf36accd73161c122.jpg,5.6,800,400,09:38:08
+1.0,2012-03-20,2012-03-20 11:04:26,0,3,489fa7a035eef0456ec34617479e11d9.jpg,5.6,800,400,11:04:26
+1.0,2013-01-29,2013-01-29 16:29:13,1,1,e063bfe03cff23b70ce22b97b39b76b3.jpg,5.6,800,250,16:29:13
+1.0,2013-01-28,2013-01-28 12:35:32,1,1,82eda1339251ed9a7a6dbbcddc74585e.jpg,5.6,800,100,12:35:32
+1.0,2013-01-28,2013-01-28 12:33:34,1,1,d5e7e8bc2fa8a4552b4a4e770bfdd371.jpg,5.6,800,100,12:33:34
+1.0,2013-01-28,2013-01-28 12:36:15,1,1,49f21ec7f6c2da62887317df9b769b18.jpg,5.6,800,100,12:36:15
+1.0,2013-01-29,2013-01-29 12:15:56,1,1,d1ce736a86e0887bc95e288f402e27e9.jpg,5.6,800,100,12:15:56
+1.0,2013-01-28,2013-01-28 12:38:57,1,1,f5891a0af2ff2fdda4ad7f40534b38da.jpg,5.6,800,100,12:38:57
+1.0,2012-03-22,2012-03-22 11:06:34,0,3,27d6938b62946fff76b5e4a3fc47d46b.jpg,5.6,800,400,11:06:34
+1.0,2012-04-03,2012-04-03 12:38:02,0,3,a0e7c3cd6ab2c9091489cfb3fb20dca3.jpg,5.6,800,400,12:38:02
+1.0,2012-04-03,2012-04-03 11:12:29,0,3,341946a4db1da95657fb7dfb0cdeef17.jpg,5.6,800,400,11:12:29
+1.0,2012-03-20,2012-03-20 13:57:56,0,3,005a7307c6e74602404bdbea44570ae3.jpg,5.6,800,400,13:57:56
+1.0,2013-02-26,2013-02-26 12:07:49,1,1,9ea1df29e6ce8a97fd559d5bd739b385.jpg,5.6,800,160,12:07:49
+1.0,2012-03-20,2012-03-20 11:06:29,0,3,5dc7693b31aa4258c5cecdbe0cedc618.jpg,5.6,800,400,11:06:29
+1.0,2013-02-19,2013-02-19 16:21:43,1,1,d204f4d91bfc8e50bd10197b6d7a59cc.jpg,5.6,800,400,16:21:43
+1.0,2013-01-29,2013-01-29 12:10:12,1,1,5446d907a2fe9e12563f2a64eeae832e.jpg,5.6,800,100,12:10:12
+1.0,2012-03-20,2012-03-20 12:30:19,0,3,876478574332a9b86e71c141592ee033.jpg,5.6,800,400,12:30:19
+1.0,2013-01-29,2013-01-29 12:13:39,1,1,41876cfe0aa74d3da115a5fdd1fbb4d4.jpg,5.6,800,100,12:13:39
+1.0,2012-03-20,2012-03-20 13:56:18,0,3,26d61b3585a6ca0477651475326cf68a.jpg,5.6,800,400,13:56:18
+1.0,2013-01-28,2013-01-28 12:40:18,1,1,85bda1e117ff9869ed462ef1e16bef26.jpg,5.6,800,100,12:40:18
+1.0,2013-02-13,2013-02-13 12:24:00,1,1,d2ea4c3b129d062c2cff34a361dfa0eb.jpg,5.6,800,100,12:24:00
+1.0,2012-03-20,2012-03-20 12:29:55,0,3,21055386a02a2fbdf4d3ecbf646ffba2.jpg,5.6,800,400,12:29:55
+1.0,2012-04-03,2012-04-03 11:07:37,0,3,baf36c4dfc8c859d30ba375e52552a86.jpg,5.6,800,400,11:07:37
+1.0,2012-04-03,2012-04-03 09:41:53,0,3,6a2d443f48117bae0bce87e303592ea6.jpg,5.6,800,400,09:41:53
+1.0,2013-02-19,2013-02-19 16:32:27,1,1,78dd91dc25c8bcb39e15743f3940f65f.jpg,5.6,800,320,16:32:27
+1.0,2012-03-22,2012-03-22 11:10:29,0,3,dca4084c4e145fab7610b79f901f3b5d.jpg,5.6,800,400,11:10:29
+1.0,2013-01-29,2013-01-29 16:29:06,1,1,dfa53f4085cbf31e1653c662db9e4a92.jpg,5.6,800,250,16:29:06
+1.0,2013-02-13,2013-02-13 13:22:32,1,1,43f8f0c09806c0c0c87ba8ed78a71a66.jpg,5.6,800,100,13:22:32
+1.0,2012-03-20,2012-03-20 12:32:23,0,3,dd273459dae08f0a3d0d1668fbd233ff.jpg,5.6,800,400,12:32:23
+1.0,2012-03-20,2012-03-20 11:08:44,0,3,2444eabd3d62e0a898009af82eda1862.jpg,5.6,800,400,11:08:44
+1.0,2012-03-20,2012-03-20 09:45:36,0,3,e3d60c056e83a35b7b7afc67d35ee1b7.jpg,5.6,800,400,09:45:36
+1.0,2012-04-03,2012-04-03 11:05:52,0,3,5ee32ee71699c54e7fd645d5e48147de.jpg,5.6,800,400,11:05:52
+1.0,2013-02-26,2013-02-26 12:08:56,1,1,0095dd3f142abe5652b3763ffbbaa474.jpg,5.6,800,200,12:08:56
+1.0,2012-03-20,2012-03-20 13:56:35,0,3,13474c9a7d5d0c460c8be94b363d9677.jpg,5.6,800,400,13:56:35
+1.0,2012-03-22,2012-03-22 11:09:55,0,3,16f5b1474e52f9a8b6712f7bef762d1c.jpg,5.6,800,400,11:09:55
+1.0,2012-03-22,2012-03-22 11:06:44,0,3,92fe324c6ae3a43e15af15dc5dd5eea2.jpg,5.6,800,400,11:06:44
+1.0,2013-01-29,2013-01-29 16:31:17,1,1,d360b0a7b18da2d9fbaac3b786165b12.jpg,5.6,800,320,16:31:17
+1.0,2012-03-20,2012-03-20 15:23:33,0,3,4ea049fc3fa5ad85b9d9b91fdfd5fef3.jpg,5.6,800,400,15:23:33
+1.0,2013-01-28,2013-01-28 12:42:49,1,1,02a202dae22f211cbbad07eb5365dc15.jpg,5.6,800,100,12:42:49
+1.0,2013-02-20,2013-02-20 12:25:52,1,1,ccf7e110617924219150efbefae0050b.jpg,5.6,800,100,12:25:52
+1.0,2012-03-20,2012-03-20 15:23:09,0,3,fb313888e4cc4e6b305f489c904bd075.jpg,5.6,800,400,15:23:09
+1.0,2013-01-28,2013-01-28 12:42:30,1,1,641944aab1d49983509cd9cfe07ccfc2.jpg,5.6,800,100,12:42:30
+1.0,2012-03-13,2012-03-13 11:12:17,0,3,bee8d155f878ca8afaaf5838d6568a4c.jpg,5.6,800,400,11:12:17
+1.0,2012-03-20,2012-03-20 12:30:53,0,3,f7fe66f383b0fc40bfcbe9f1e5c77b1c.jpg,5.6,800,400,12:30:53
+1.0,2012-03-20,2012-03-20 12:34:37,0,3,1f62fe46891544725e5500b213d21426.jpg,5.6,800,400,12:34:37
+1.0,2013-02-13,2013-02-13 13:22:37,1,1,ec9e547e7de478f443353cacf575058a.jpg,5.6,800,100,13:22:37
+1.0,2013-01-28,2013-01-28 12:37:21,1,1,90f57adbcab2c5754638ab6c451bcb2e.jpg,5.6,800,100,12:37:21
+1.0,2012-04-03,2012-04-03 09:34:58,0,3,2f576f5db593ee0d4845207a35ee63cb.jpg,5.6,800,400,09:34:58
+1.0,2012-03-20,2012-03-20 12:29:54,0,3,d307a704e7aa07dfa4ad55810954b2ca.jpg,5.6,800,400,12:29:54
+1.0,2013-02-19,2013-02-19 16:19:01,1,1,5523819b61ca7692aa1075007dfc6ef0.jpg,5.6,800,320,16:19:01
+1.0,2013-02-13,2013-02-13 13:15:39,1,1,d9cb0aa2f1d19664a1e40ffd67aecd28.jpg,5.6,800,100,13:15:39
+1.0,2013-01-29,2013-01-29 16:33:58,1,1,8f367c0f3b17c032ecd6f7b11eaf7d59.jpg,5.6,800,400,16:33:58
+1.0,2012-04-03,2012-04-03 09:37:57,0,3,3d3c0873695a4fd05f99c2bcc9f2a57f.jpg,5.6,800,400,09:37:57
+1.0,2012-03-06,2012-03-06 13:30:05,0,3,76a7ba50cd55c24e4ccf4324e3427a98.jpg,5.6,800,400,13:30:05
+1.0,2013-02-19,2013-02-19 16:25:12,1,1,7520a229dd8588c2ecf872363d00c479.jpg,5.6,800,400,16:25:12
+1.0,2013-02-20,2013-02-20 12:17:47,1,1,282a87f27d9a12eae2a3943cd31b0f3c.jpg,5.6,800,100,12:17:47
+1.0,2012-03-20,2012-03-20 09:45:30,0,3,cbdbd51d7e01f70ca542813b47b9dc25.jpg,5.6,800,400,09:45:30
+1.0,2012-04-03,2012-04-03 09:34:56,0,3,55eef95bee6277ecbc0ed1cb1bf88ef8.jpg,5.6,800,400,09:34:56
+1.0,2013-02-20,2013-02-20 12:10:53,1,1,34541068f7ac1ad11a529b857670c2e0.jpg,5.6,800,160,12:10:53
+1.0,2012-03-22,2012-03-22 11:05:01,0,3,1473400246fe0315705421d708d2efb9.jpg,5.6,800,400,11:05:01
+1.0,2013-02-13,2013-02-13 13:21:12,1,1,c290ac1d6032ddc163cace03ed7e1a7b.jpg,5.6,800,100,13:21:12
+1.0,2013-02-20,2013-02-20 12:35:56,1,1,1b227b19665257bb94b1cfe2f7c8be56.jpg,5.6,800,100,12:35:56
+1.0,2013-02-13,2013-02-13 13:13:41,1,1,4080fb2ccc510b85b9632fbc70b240b0.jpg,5.6,800,100,13:13:41
+1.0,2013-02-13,2013-02-13 12:10:29,1,1,d5cff991994719f457bb903de643ac1d.jpg,5.6,800,100,12:10:29
+1.0,2013-02-13,2013-02-13 13:00:38,1,1,12d784fba056243b5d158126d8ffaf3d.jpg,5.6,800,100,13:00:38
+1.0,2012-03-20,2012-03-20 15:24:29,0,3,c7a4f6476c815f3827dac85c659b0958.jpg,5.6,800,400,15:24:29
+1.0,2012-03-22,2012-03-22 11:08:38,0,3,c5f9e14e685b0bca9e21a2b31dfe9fa0.jpg,5.6,800,400,11:08:38
+1.0,2013-01-28,2013-01-28 12:39:01,1,1,788d533b1e6c5595fa8a648ba9631165.jpg,5.6,800,100,12:39:01
+1.0,2012-03-20,2012-03-20 13:55:53,0,3,fa826d7c8e5be2276d101b980651d70a.jpg,5.6,800,400,13:55:53
+1.0,2012-03-20,2012-03-20 09:47:36,0,3,5e11c5e0485e5639b7665b4645e2c423.jpg,5.6,800,400,09:47:36
+1.0,2012-03-20,2012-03-20 15:22:25,0,3,e7a284b2967f2cc10f20f11a9b38bb44.jpg,5.6,800,400,15:22:25
+1.0,2013-02-20,2013-02-20 12:09:03,1,1,423a22dfbaed02cfa15d54cee475a8da.jpg,5.6,800,160,12:09:03
+1.0,2013-02-13,2013-02-13 12:20:08,1,1,3ddd80136b508c388ad673a46d65d398.jpg,5.6,800,100,12:20:08
+1.0,2013-01-29,2013-01-29 12:15:45,1,1,3bdf99c4af9ba1c56b3ecd8e33a66a8f.jpg,5.6,800,100,12:15:45
+1.0,2013-01-28,2013-01-28 12:40:50,1,1,2184fda825e78eb62450344db3b4eb75.jpg,5.6,800,100,12:40:50
+1.0,2012-04-03,2012-04-03 09:36:13,0,3,9bc5bf80ce4713c89573f7b9b2cbc7b5.jpg,5.6,800,400,09:36:13
+1.0,2013-01-28,2013-01-28 12:42:44,1,1,df44f084939deb2c03daec16cbf55822.jpg,5.6,800,100,12:42:44
+1.0,2013-02-20,2013-02-20 12:43:26,1,1,00dc392f1086b1533c3799ea8ebd203d.jpg,5.6,800,100,12:43:26
+1.0,2013-02-20,2013-02-20 12:20:11,1,1,7e3ac52893236dba44720d3ef3b781fd.jpg,5.6,800,100,12:20:11
+1.0,2012-04-03,2012-04-03 11:04:03,0,3,0a280a94b496e3d59e8cc3b0c4e60555.jpg,5.6,800,400,11:04:03
+1.0,2013-02-13,2013-02-13 13:18:37,1,1,63b8edd5129a8fd8f559f0dd58c648a3.jpg,5.6,800,100,13:18:37
+1.0,2012-04-03,2012-04-03 12:31:23,0,3,4710e0d8feccb5eea0b04e951e8b7c9b.jpg,5.6,800,400,12:31:23
+1.0,2013-01-28,2013-01-28 12:41:58,1,1,f973f426599c9d00a0e5e7ccc0b8186d.jpg,5.6,800,100,12:41:58
+1.0,2012-03-20,2012-03-20 09:43:34,0,3,8e60625f8600b3dbf4d596c2ac82cdd7.jpg,5.6,800,400,09:43:34
+1.0,2012-04-03,2012-04-03 09:41:03,0,3,f79b4de09afbb0b028e4b4e9c4e8df5a.jpg,5.6,800,400,09:41:03
+1.0,2013-01-29,2013-01-29 12:20:03,1,1,be82215e0b84c12cbc802bd0b3a4c299.jpg,5.6,800,100,12:20:03
+1.0,2013-02-26,2013-02-26 12:16:21,1,1,cc6440e80575c892e2c9f4fa4f8d6dc0.jpg,5.6,800,200,12:16:21
+1.0,2012-04-03,2012-04-03 11:09:44,0,3,2d2a19afcb362b8d198debf84e459c3c.jpg,5.6,800,400,11:09:44
+1.0,2012-03-06,2012-03-06 13:27:56,0,3,366d24b24b811eabbfaf967e1afa7ad1.jpg,5.6,800,400,13:27:56
+1.0,2012-04-03,2012-04-03 09:35:00,0,3,8e87257ced14770b405621aa99ac6955.jpg,5.6,800,400,09:35:00
+1.0,2013-01-29,2013-01-29 16:29:35,1,1,2c2cb327f2788e67435a8cd5a37001a8.jpg,5.6,800,320,16:29:35
+1.0,2013-02-20,2013-02-20 12:04:12,1,1,fd70c588b276d366972aa8b80c95c7f5.jpg,5.6,800,160,12:04:12
+1.0,2012-03-22,2012-03-22 11:08:39,0,3,ec17e42d33d04a7fc630e960c384e318.jpg,5.6,800,400,11:08:39
+1.0,2013-02-19,2013-02-19 16:18:41,1,1,c81852c1d5dc9b2510accb1a3863bd50.jpg,5.6,800,320,16:18:41
+1.0,2013-02-20,2013-02-20 12:14:41,1,1,f308ef7a856b17219558254f57188976.jpg,5.6,800,125,12:14:41
+1.0,2013-02-19,2013-02-19 16:31:14,1,1,c4c9bedaa52a4f30723559c2c6e10b02.jpg,5.6,800,320,16:31:14
+1.0,2012-04-03,2012-04-03 11:12:34,0,3,7d698cf70d1e25d5a2f3f4d0f377bb08.jpg,5.6,800,400,11:12:34
+1.0,2012-03-22,2012-03-22 11:04:53,0,3,d859195ba033f3238808a831a15c42e1.jpg,5.6,800,400,11:04:53
+1.0,2012-03-13,2012-03-13 11:11:29,0,3,bea17a63fa4e1244ede33af9b3a07061.jpg,5.6,800,400,11:11:29
+1.0,2012-03-20,2012-03-20 15:23:19,0,3,923cd6565d4d37f549620ce0f270c037.jpg,5.6,800,400,15:23:19
+1.0,2012-04-03,2012-04-03 09:38:46,0,3,cf8dee3104ed573770edc0cfdeb13ae2.jpg,5.6,800,400,09:38:46
+1.0,2013-02-13,2013-02-13 12:21:34,1,1,c66bf78c42678345383c72489588e6d9.jpg,5.6,800,100,12:21:34
+1.0,2013-02-19,2013-02-19 16:34:00,1,1,6a0d68aa31f6d37001e3ce9134f09255.jpg,5.6,800,320,16:34:00
+1.0,2012-04-03,2012-04-03 09:36:25,0,3,026655c539cf4a01887b483ab042c6b2.jpg,5.6,800,400,09:36:25
+1.0,2013-01-28,2013-01-28 12:38:35,1,1,30488bf4c27b85b7ad1dad0b11c937c7.jpg,5.6,800,100,12:38:35
+1.0,2013-01-29,2013-01-29 16:29:56,1,1,8a7163b4e239ff31b11a84ddea39522b.jpg,5.6,800,250,16:29:56
+1.0,2013-02-26,2013-02-26 12:10:52,1,1,a9752bb19f5c29cb1de88b35ee4130f1.jpg,5.6,800,160,12:10:52
+1.0,2013-01-28,2013-01-28 12:41:55,1,1,683fe1eda8761d7fb45c4a1008eff6b3.jpg,5.6,800,100,12:41:55
+1.0,2013-02-13,2013-02-13 12:48:16,1,1,fc1ca32812b56caf7eb94aa0afc4516d.jpg,5.6,800,100,12:48:16
+1.0,2012-03-20,2012-03-20 13:56:39,0,3,3d0959013908ebb9fddc5c13daf2f20a.jpg,5.6,800,400,13:56:39
+1.0,2012-04-03,2012-04-03 11:06:30,0,3,d9d49369b31cf4a0b6380ee9a39442ac.jpg,5.6,800,400,11:06:30
+1.0,2013-01-29,2013-01-29 12:07:35,1,1,b67f6c1efbea2b5cb192069c3dcd8b1e.jpg,5.6,800,100,12:07:35
+1.0,2013-02-19,2013-02-19 16:17:47,1,1,db492b5a6b92bef842892ceda1dc2b38.jpg,5.6,800,320,16:17:47
+1.0,2012-03-08,2012-03-08 14:55:48,0,3,a3d6cdede94f895ed63b050c53b55d8b.jpg,5.6,800,400,14:55:48
+1.0,2013-01-28,2013-01-28 12:41:20,1,1,fad582a0514fec9d8e887b93aa361627.jpg,5.6,800,100,12:41:20
+1.0,2013-01-29,2013-01-29 16:25:49,1,1,52ef446da056bf4acf8b584590a339de.jpg,5.6,800,320,16:25:49
+1.0,2012-03-22,2012-03-22 11:06:57,0,3,ff83f6c514fc9419c9d620c957965b1a.jpg,5.6,800,400,11:06:57
+1.0,2013-01-29,2013-01-29 12:09:24,1,1,e1680139b23941accaadc84dd8edca9e.jpg,5.6,800,100,12:09:24
+1.0,2012-03-20,2012-03-20 12:35:13,0,3,9f2779230b8d903b3b1e6363be4ed5e9.jpg,5.6,800,400,12:35:13
+1.0,2012-03-08,2012-03-08 10:46:26,0,3,f46d7c01f84c2dba787df20449c487d6.jpg,5.6,800,400,10:46:26
+1.0,2012-04-03,2012-04-03 09:39:09,0,3,bba2b349e27dcf4f9db8b53b59e41c8e.jpg,5.6,800,400,09:39:09
+1.0,2012-04-17,2012-04-17 12:28:15,0,3,79380d46b60668576622a44e10951abe.jpg,5.6,800,400,12:28:15
+1.0,2013-01-29,2013-01-29 16:24:44,1,1,d0f3711a51d9bc260f5359d901a4eb78.jpg,5.6,800,250,16:24:44
+1.0,2012-04-03,2012-04-03 09:44:56,0,3,ab5d9a3892dce7bfcf3ce853113a164f.jpg,5.6,800,400,09:44:56
+1.0,2012-04-03,2012-04-03 11:05:46,0,3,ba67db888d45f63bf3d51a42f72e7a28.jpg,5.6,800,400,11:05:46
+1.0,2012-03-06,2012-03-06 13:32:37,0,3,6b11b726d44c5870dbc9c01de3776a66.jpg,5.6,800,400,13:32:37
+1.0,2012-03-20,2012-03-20 11:07:52,0,3,4eaee15d3a0eff65fed39796adf90428.jpg,5.6,800,400,11:07:52
+1.0,2013-02-26,2013-02-26 12:11:12,1,1,a778168d85c75d4a0090eb5c958790bc.jpg,5.6,800,160,12:11:12
+1.0,2012-03-08,2012-03-08 10:46:33,0,3,ad47df81db56d362c99ff0f298c21cd0.jpg,5.6,800,400,10:46:33
+1.0,2013-01-29,2013-01-29 12:10:27,1,1,efacaac21209431f0dea3c6a426fd455.jpg,5.6,800,100,12:10:27
+1.0,2012-04-03,2012-04-03 11:08:11,0,3,63e4888a58c285da1f1148a51cc2815d.jpg,5.6,800,400,11:08:11
+1.0,2012-03-06,2012-03-06 13:29:18,0,3,1ec03431439b609f85ce6b7cc83d29a2.jpg,5.6,800,400,13:29:18
+1.0,2013-02-19,2013-02-19 16:22:53,1,1,dd652740a6e00ebe993a304fd524d8bd.jpg,5.6,800,500,16:22:53
+1.0,2013-02-26,2013-02-26 12:06:30,1,1,8fbfc41cdb0d2a4bcc785b5369faef3a.jpg,5.6,800,200,12:06:30
+1.0,2013-02-26,2013-02-26 12:45:03,1,1,a07e9444f12240e0f28065714c20da09.jpg,5.6,800,200,12:45:03
+1.0,2012-03-20,2012-03-20 13:56:20,0,3,6f974e9e9d5eb47af9a775c611041833.jpg,5.6,800,400,13:56:20
+1.0,2013-01-29,2013-01-29 12:11:41,1,1,7fd4655959e3f9ac01c3b4796b887d79.jpg,5.6,800,100,12:11:41
+1.0,2013-02-26,2013-02-26 12:11:43,1,1,53268221d22049daa6ae16ec517a7b93.jpg,5.6,800,160,12:11:43
+1.0,2012-03-20,2012-03-20 12:33:50,0,3,3255c3728a524b3cdd03366817372306.jpg,5.6,800,400,12:33:50
+1.0,2013-02-26,2013-02-26 12:25:33,1,1,00ccc05926722cb8cb88219b8b7142c8.jpg,5.6,800,200,12:25:33
+1.0,2013-01-29,2013-01-29 16:25:50,1,1,8019f65da7d6b2c663678fb6b0270f18.jpg,5.6,800,320,16:25:50
+1.0,2012-04-03,2012-04-03 09:35:38,0,3,48d327ffe09a3e2b6b694ed09a50045b.jpg,5.6,800,400,09:35:38
+1.0,2013-01-29,2013-01-29 16:31:21,1,1,1e5cc8c3399d2fe667be43b6a47d1108.jpg,5.6,800,250,16:31:21
+1.0,2013-02-26,2013-02-26 12:16:13,1,1,f7e913c1f111ac554205ec422f186e6d.jpg,5.6,800,200,12:16:13
+1.0,2012-03-20,2012-03-20 12:30:23,0,3,ee10f8cc6c7b469545cc07ca525ea019.jpg,5.6,800,400,12:30:23
+1.0,2013-02-13,2013-02-13 13:17:15,1,1,96e10f1957e47b2cd5d07e52f67673e0.jpg,5.6,800,100,13:17:15
+1.0,2012-03-20,2012-03-20 09:46:46,0,3,6e01c7afe7bc5c3dc70dd1a9a1e6aa2f.jpg,5.6,800,400,09:46:46
+1.0,2012-04-03,2012-04-03 11:06:45,0,3,67a152b2faaada8906cdf228b6d9522f.jpg,5.6,800,400,11:06:45
+1.0,2013-02-20,2013-02-20 12:04:32,1,1,30ea5140c5ac982e35d156dd5a4b0439.jpg,5.6,800,200,12:04:32
+1.0,2013-02-13,2013-02-13 13:01:25,1,1,101ffe7634f02176bb7342a3cf154de6.jpg,5.6,800,100,13:01:25
+1.0,2013-02-26,2013-02-26 12:15:24,1,1,6337489c5be9003a8d3e64336b8e81ea.jpg,5.6,800,200,12:15:24
+1.0,2012-04-03,2012-04-03 12:32:08,0,3,5fb99842b7a7517947bfa7f6751e1678.jpg,5.6,800,400,12:32:08
+1.0,2013-02-26,2013-02-26 12:17:35,1,1,031cc3359960bf68fe3f408f00b1135d.jpg,5.6,800,200,12:17:35
+1.0,2012-03-20,2012-03-20 12:28:40,0,3,3cc4380b28d638ba4c32b4b9ffde476b.jpg,5.6,800,400,12:28:40
+1.0,2012-02-23,2012-02-23 14:58:51,0,3,2cf1db54036f7f5f4cc7b4f533a494b4.jpg,5.6,800,400,14:58:51
+1.0,2012-04-03,2012-04-03 11:05:33,0,3,40887081332cd100fffe7f9cc99f69da.jpg,5.6,800,400,11:05:33
+1.0,2012-03-06,2012-03-06 13:27:38,0,3,19fab08aac4ec398b0a8737280bd12e5.jpg,5.6,800,400,13:27:38
+1.0,2013-01-28,2013-01-28 12:39:09,1,1,c9066c401558b2cae1b36105251e6eaa.jpg,5.6,800,100,12:39:09
+1.0,2012-03-20,2012-03-20 09:41:33,0,3,a3455108509bc958475d9e22d17dea79.jpg,5.6,800,400,09:41:33
+1.0,2013-02-19,2013-02-19 16:28:31,1,1,26e3ac91f1ad057054be3f27bb9852a1.jpg,5.6,800,320,16:28:31
+1.0,2012-03-08,2012-03-08 12:12:30,0,3,8f8c9210ddf4110c0dae996d052d38e6.jpg,5.6,800,400,12:12:30
+1.0,2013-01-29,2013-01-29 12:08:29,1,1,3e4ee3f139acee426615d9626a42f094.jpg,5.6,800,100,12:08:29
+1.0,2012-03-20,2012-03-20 09:46:33,0,3,2ebd19066fa76a6e78ee22a1cd91c653.jpg,5.6,800,400,09:46:33
+1.0,2012-03-20,2012-03-20 09:43:41,0,3,36dbc43f6dcc9eb58595419203002a02.jpg,5.6,800,400,09:43:41
+1.0,2013-02-13,2013-02-13 12:17:17,1,1,4ffa9fe72c50c49b8ed36182e1014c29.jpg,5.6,800,100,12:17:17
+1.0,2012-03-20,2012-03-20 09:47:35,0,3,720d791ad8d09cd81484e69670f283ff.jpg,5.6,800,400,09:47:35
+1.0,2013-02-20,2013-02-20 12:02:55,1,1,9627223b026146b0dc2d467e731a4e0f.jpg,5.6,800,160,12:02:55
+1.0,2013-01-29,2013-01-29 12:19:12,1,1,86a46047678e493340a9d2e5a505ba2a.jpg,5.6,800,100,12:19:12
+1.0,2012-03-06,2012-03-06 13:31:26,0,3,95908968d4ca85a747333e517550600e.jpg,5.6,800,400,13:31:26
+1.0,2012-03-13,2012-03-13 11:09:30,0,3,642dcabc8658884dacd780bfd6247d71.jpg,5.6,800,400,11:09:30
+1.0,2013-01-28,2013-01-28 12:38:07,1,1,7abd697ebabdbdb719547461dc3eb6f5.jpg,5.6,800,100,12:38:07
+1.0,2013-01-29,2013-01-29 12:16:31,1,1,fc1875fb0e56e6d7dd4116c9427f8183.jpg,5.6,800,100,12:16:31
+1.0,2013-02-20,2013-02-20 12:25:24,1,1,e5be45af2d8d04cc64bc8805eb28b240.jpg,5.6,800,100,12:25:24
+1.0,2012-03-20,2012-03-20 15:23:10,0,3,357311c918c4863193ac10646d819a27.jpg,5.6,800,400,15:23:10
+1.0,2013-02-13,2013-02-13 12:07:50,1,1,d9fc07db9e0150d84ca505facd2f2ab6.jpg,5.6,800,100,12:07:50
+1.0,2013-02-20,2013-02-20 12:05:22,1,1,0b31905f3f756bc7a9354256d0d931a1.jpg,5.6,800,200,12:05:22
+1.0,2013-02-13,2013-02-13 13:14:53,1,1,d62d712ac72dadacd308a7a0e7e5d7d2.jpg,5.6,800,100,13:14:53
+1.0,2012-03-20,2012-03-20 12:30:38,0,3,b7223b6e2e4fd11be8b3074ffd98288a.jpg,5.6,800,400,12:30:38
+1.0,2013-02-19,2013-02-19 16:21:44,1,1,765d5301aa98b973083aefd1d58921d6.jpg,5.6,800,400,16:21:44
+1.0,2012-03-06,2012-03-06 13:31:30,0,3,52f357839e24901437e157cd98b04ef8.jpg,5.6,800,400,13:31:30
+1.0,2013-02-26,2013-02-26 12:10:42,1,1,678dc22df48720510db5799cdd7fd547.jpg,5.6,800,160,12:10:42
+1.0,2013-02-26,2013-02-26 12:08:16,1,1,1b1a87905511a26dc6a89c58951599c7.jpg,5.6,800,200,12:08:16
+1.0,2012-03-20,2012-03-20 13:55:43,0,3,3ab3022202c616dc551ad5b6daab446c.jpg,5.6,800,400,13:55:43
+1.0,2012-03-20,2012-03-20 13:59:17,0,3,b2e6921da479337d22b79d849634415b.jpg,5.6,800,400,13:59:17
+1.0,2013-01-29,2013-01-29 12:34:31,1,1,d0d3a42d551494565a3c15897b6a83a7.jpg,5.6,800,100,12:34:31
+1.0,2013-02-20,2013-02-20 12:01:55,1,1,fcb9009128a4e5ab6ab35f6d54fec69a.jpg,5.6,800,200,12:01:55
+1.0,2012-03-22,2012-03-22 11:06:53,0,3,17011ca9ad7bfd30325be7c2a3d3663a.jpg,5.6,800,400,11:06:53
+1.0,2012-03-20,2012-03-20 13:59:38,0,3,dc60672e0729de159600ecc67a15164e.jpg,5.6,800,400,13:59:38
+1.0,2013-02-13,2013-02-13 12:02:48,1,1,679ac879cf021066b8b14c4208bfe4d3.jpg,5.6,800,100,12:02:48
+1.0,2012-03-20,2012-03-20 09:43:37,0,3,374be9ffd607c88a6781834011eda1c4.jpg,5.6,800,400,09:43:37
+1.0,2013-01-28,2013-01-28 12:38:06,1,1,de950a49f0f70665e44da3cf955b9cb2.jpg,5.6,800,100,12:38:06
+1.0,2013-01-29,2013-01-29 16:24:44,1,1,2201a60212381700287fe9f2cfe4a505.jpg,5.6,800,250,16:24:44
+1.0,2012-03-08,2012-03-08 10:46:57,0,3,5efe18510afe21513537c4464b0c49aa.jpg,5.6,800,400,10:46:57
+1.0,2013-02-19,2013-02-19 16:28:55,1,1,8bc70cd57c31771a31ecb2b58a1b2a58.jpg,5.6,800,320,16:28:55
+1.0,2013-02-19,2013-02-19 16:19:04,1,1,0b0ad6c073491f0a6904987ee8e700ae.jpg,5.6,800,320,16:19:04
+1.0,2012-03-20,2012-03-20 11:06:35,0,3,b8f18f039d6b554a7f0857afad87d13e.jpg,5.6,800,400,11:06:35
+1.0,2013-02-13,2013-02-13 12:02:59,1,1,5e7115550de72fad1d52e6e105e976a8.jpg,5.6,800,100,12:02:59
+1.0,2012-03-20,2012-03-20 12:28:41,0,3,e20808ead7919a82b189aeade45e1d35.jpg,5.6,800,400,12:28:41
+1.0,2013-02-26,2013-02-26 12:43:25,1,1,4fe202838d64cecf241ab2d29d69f067.jpg,5.6,800,200,12:43:25
+1.0,2013-01-28,2013-01-28 12:42:42,1,1,963092c4242f5d12f4c5359260067f8d.jpg,5.6,800,100,12:42:42
+1.0,2012-03-06,2012-03-06 13:28:21,0,3,da0a5d01e3c7bb894ecdb672580a711b.jpg,5.6,800,400,13:28:21
+1.0,2012-03-20,2012-03-20 11:07:53,0,3,564aaa5582308c7d361e039bb615920f.jpg,5.6,800,400,11:07:53
+1.0,2012-02-23,2012-02-23 14:54:41,0,3,b08ec26dd54c23c3979a6b94a00ae5b1.jpg,5.6,800,400,14:54:41
+1.0,2012-03-22,2012-03-22 11:07:43,0,3,ce42f98df10753f004e3e631a48b081a.jpg,5.6,800,400,11:07:43
+1.0,2013-02-19,2013-02-19 16:25:57,1,1,6ea412aa009898087b6f23cf07852ca4.jpg,5.6,800,500,16:25:57
+1.0,2013-01-28,2013-01-28 12:35:35,1,1,c041934aa7e5045310a13d72455ab573.jpg,5.6,800,100,12:35:35
+1.0,2012-04-03,2012-04-03 12:31:24,0,3,bbf2f63b348c3392f31884094a45d1e6.jpg,5.6,800,400,12:31:24
+1.0,2012-03-20,2012-03-20 11:07:20,0,3,61f0d2d77c42573b7b133da63a524406.jpg,5.6,800,400,11:07:20
+1.0,2012-03-22,2012-03-22 11:05:03,0,3,8dfd158f882a6ccee1d59f2fb565d3dc.jpg,5.6,800,400,11:05:03
+1.0,2013-01-28,2013-01-28 12:38:58,1,1,db4d7cac0e6ef22a9403000e2f81b907.jpg,5.6,800,100,12:38:58
+1.0,2012-03-06,2012-03-06 13:30:20,0,3,5bfa330e0ace07fbb1252ec41b264e18.jpg,5.6,800,400,13:30:20
+1.0,2012-03-20,2012-03-20 11:04:21,0,3,2fd325ffadb3dae53e87f2f090757426.jpg,5.6,800,400,11:04:21
+1.0,2013-01-28,2013-01-28 12:38:20,1,1,3ceaf9c990c8b499e117c3665e4a676a.jpg,5.6,800,100,12:38:20
+1.0,2013-01-28,2013-01-28 12:37:56,1,1,a046d2472c276500ef7552a159584d43.jpg,5.6,800,100,12:37:56
+1.0,2013-02-19,2013-02-19 16:14:21,1,1,016431c0832dfccd559dbc416d3bb0d8.jpg,5.6,800,250,16:14:21
+1.0,2012-03-20,2012-03-20 09:41:03,0,3,2af5a69fc1d522a42a179cecffa15305.jpg,5.6,800,400,09:41:03
+1.0,2013-01-29,2013-01-29 16:29:10,1,1,091d176cd2d8e1b9bcd8a6b3196506c1.jpg,5.6,800,250,16:29:10
+1.0,2012-03-06,2012-03-06 13:30:07,0,3,ef4241c6b3b17075b645ea13d438e1bc.jpg,5.6,800,400,13:30:07
+1.0,2013-02-20,2013-02-20 12:21:44,1,1,15f3ea336f2dbd127391328d9a720b1f.jpg,5.6,800,100,12:21:44
+1.0,2012-03-22,2012-03-22 11:09:48,0,3,e45b0561b093ce0b86542d1d0dc39484.jpg,5.6,800,400,11:09:48
+1.0,2013-02-13,2013-02-13 13:13:15,1,1,e24b695a5d189c47ea0e9ac830671988.jpg,5.6,800,100,13:13:15
+1.0,2013-01-29,2013-01-29 16:24:04,1,1,0db98e5d994ff4e60a72c7ae9c0ee9e5.jpg,5.6,800,400,16:24:04
+1.0,2013-02-26,2013-02-26 12:44:18,1,1,3c201e9ed30a0f9d287001786d0f0867.jpg,5.6,800,200,12:44:18
+1.0,2013-02-19,2013-02-19 16:27:24,1,1,1be92592f115b357f1bf80ee43c1eec8.jpg,5.6,800,320,16:27:24
+1.0,2013-02-13,2013-02-13 13:20:17,1,1,1be4157ef18cae1f12e3e0e2b549d5e4.jpg,5.6,800,100,13:20:17
+1.0,2013-01-28,2013-01-28 12:41:20,1,1,5cfc8f415eb104ec208a740c23c2f871.jpg,5.6,800,100,12:41:20
+1.0,2012-04-03,2012-04-03 09:39:25,0,3,997dccccedc89d0ee4cc353146ef03a3.jpg,5.6,800,400,09:39:25
+1.0,2013-02-20,2013-02-20 12:26:15,1,1,c6f8b7b5423db9ff78307e5c93dc3351.jpg,5.6,800,100,12:26:15
+1.0,2013-02-19,2013-02-19 16:18:57,1,1,f36d4f3f73aa664e74d672dfef98512c.jpg,5.6,800,640,16:18:57
+1.0,2013-01-28,2013-01-28 12:41:49,1,1,73ddbb10654d4e9f41770c7059dc3ba8.jpg,5.6,800,100,12:41:49
+1.0,2013-02-26,2013-02-26 12:33:25,1,1,d61d5404b6eb5b0cca95f4d8ed303134.jpg,5.6,800,200,12:33:25
+1.0,2012-03-20,2012-03-20 15:24:28,0,3,8dded4555d9a83c367046ca410f78a47.jpg,5.6,800,400,15:24:28
+1.0,2013-01-28,2013-01-28 12:41:53,1,1,41934b899da1e2c72a2c502eca42fef8.jpg,5.6,800,100,12:41:53
+1.0,2013-01-28,2013-01-28 12:42:37,1,1,ac04e79cbf88f28037a57087004ad311.jpg,5.6,800,100,12:42:37
+1.0,2012-04-24,2012-04-24 09:45:59,0,3,d9fd7462664ade2b98190736bd3612d9.jpg,5.6,800,400,09:45:59
+1.0,2013-02-19,2013-02-19 16:34:23,1,1,8d018846d8df78ab32ff6445db7921d3.jpg,5.6,800,320,16:34:23
+1.0,2012-04-03,2012-04-03 11:13:03,0,3,289903c58258b6268f480222fcd6af1e.jpg,5.6,800,400,11:13:03
+1.0,2013-01-29,2013-01-29 16:27:34,1,1,a69a33efb4767bd444fedeba1c4f77e5.jpg,5.6,800,250,16:27:34
+1.0,2013-02-19,2013-02-19 16:32:21,1,1,de59eaffeeec728808c33d46ef12c851.jpg,5.6,800,400,16:32:21
+1.0,2012-04-03,2012-04-03 11:07:02,0,3,111b37062be9f4f5964d5f1f5caeb5cd.jpg,5.6,800,400,11:07:02
+1.0,2013-01-28,2013-01-28 12:34:40,1,1,2b4973cebe8ccfc586cf9e732000e33f.jpg,5.6,800,100,12:34:40
+1.0,2013-01-28,2013-01-28 12:40:53,1,1,5e826b886bd77d5dc97b35da0d3c122b.jpg,5.6,800,100,12:40:53
+1.0,2012-04-03,2012-04-03 11:09:44,0,3,eaa4d4fa077a71178820ef47a50a1e61.jpg,5.6,800,400,11:09:44
+1.0,2013-01-29,2013-01-29 12:10:54,1,1,9b17422396eb7c4368f1373655d10487.jpg,5.6,800,100,12:10:54
+1.0,2013-01-29,2013-01-29 12:31:42,1,1,8236f94bc52dd5451fb7447aa2b6815c.jpg,5.6,800,100,12:31:42
+1.0,2013-02-19,2013-02-19 16:30:56,1,1,d75bddbb441066f31cdd7411f31d7834.jpg,5.6,800,320,16:30:56
+1.0,2013-02-20,2013-02-20 12:11:02,1,1,7cbdbd5bd971b9414441d338ebf09f71.jpg,5.6,800,160,12:11:02
+1.0,2012-04-03,2012-04-03 11:09:27,0,3,5a0191b6b58363635be88a07adabf0ab.jpg,5.6,800,400,11:09:27
+1.0,2012-04-03,2012-04-03 09:35:05,0,3,e41a8eac8cc344247c5a882e79788e87.jpg,5.6,800,400,09:35:05
+1.0,2012-03-08,2012-03-08 12:12:07,0,3,3332327a3cbffc70ed2bce6f4269c6eb.jpg,5.6,800,400,12:12:07
+1.0,2013-01-28,2013-01-28 12:38:04,1,1,36ecad1a2c8c21df89ff26ab2eecfdf8.jpg,5.6,800,100,12:38:04
+1.0,2013-02-19,2013-02-19 16:25:05,1,1,bd2ce973725e096830bc70a9c9dbd50b.jpg,5.6,800,320,16:25:05
+1.0,2013-01-29,2013-01-29 16:33:35,1,1,513fa3622bf1bdca3e504bd8398b650f.jpg,5.6,800,400,16:33:35
+1.0,2013-01-29,2013-01-29 16:27:21,1,1,4f171ba502f49079845692dfceca98c9.jpg,5.6,800,500,16:27:21
+1.0,2013-02-13,2013-02-13 12:32:56,1,1,7e3d44d54d145181e919b96dfa01f3f6.jpg,5.6,800,100,12:32:56
+1.0,2013-01-29,2013-01-29 16:27:19,1,1,0fd76c8adf1599afa5011e6b2e01497e.jpg,5.6,800,320,16:27:19
+1.0,2012-04-03,2012-04-03 09:36:12,0,3,c568e9fa13ecd87b6c6b8852d0f8c47e.jpg,5.6,800,400,09:36:12
+1.0,2012-04-03,2012-04-03 11:12:42,0,3,8666825de2c6ae6c013f27e248a3e66f.jpg,5.6,800,400,11:12:42
+1.0,2013-02-26,2013-02-26 12:31:41,1,1,16d57752f103b7b43391c85aa9d34119.jpg,5.6,800,200,12:31:41
+1.0,2012-03-22,2012-03-22 14:00:13,0,3,c057f179b8f4c7fa7b5d0103a2426755.jpg,5.6,800,400,14:00:13
+1.0,2012-03-20,2012-03-20 13:59:30,0,3,e5917615e7467f304925b1302063445d.jpg,5.6,800,400,13:59:30
+1.0,2013-01-29,2013-01-29 12:15:48,1,1,fd1f0ad3f9e15dbbd89cd8930bbc5596.jpg,5.6,800,100,12:15:48
+1.0,2013-01-29,2013-01-29 16:32:38,1,1,2966cda33872ae776ac848a034a696b8.jpg,5.6,800,250,16:32:38
+1.0,2012-03-20,2012-03-20 09:42:21,0,3,9884aba1065fa2c0e22e5db317dda334.jpg,5.6,800,400,09:42:21
+1.0,2012-03-06,2012-03-06 13:31:29,0,3,4f568decf3c5fcb5afcdc9e68b2b7772.jpg,5.6,800,400,13:31:29
+1.0,2013-02-19,2013-02-19 16:27:04,1,1,67baa914db19d8d199ac9cead271c06b.jpg,5.6,800,320,16:27:04
+1.0,2013-02-20,2013-02-20 12:32:27,1,1,16b6a6554139dd3869094064fb1799f4.jpg,5.6,800,100,12:32:27
+1.0,2013-02-19,2013-02-19 16:27:21,1,1,888498036213cc5bac309edef5cbb1db.jpg,5.6,800,400,16:27:21
+1.0,2013-02-20,2013-02-20 12:04:47,1,1,67b614ac1c14529587055fa7460a56e2.jpg,5.6,800,160,12:04:47
+1.0,2013-02-19,2013-02-19 16:21:49,1,1,3e25e6099d5c4b1dd5365af9ce373b1a.jpg,5.6,800,400,16:21:49
+1.0,2012-03-06,2012-03-06 13:31:19,0,3,c2cdd29eab4db29ed24572a904b1149a.jpg,5.6,800,400,13:31:19
+1.0,2012-03-20,2012-03-20 09:45:29,0,3,0e9ca695fed2146e92276df42da370b0.jpg,5.6,800,400,09:45:29
+1.0,2013-01-28,2013-01-28 12:42:41,1,1,ff92761df45c5825847a3d2ed1f3b3d8.jpg,5.6,800,100,12:42:41
+1.0,2012-04-03,2012-04-03 11:05:17,0,3,7a28d3c417eca5793bef3ce36021c43f.jpg,5.6,800,400,11:05:17
+1.0,2012-03-22,2012-03-22 11:09:42,0,3,c6806db3ee4eb78c4700d89215fc0aa2.jpg,5.6,800,400,11:09:42
+1.0,2012-03-22,2012-03-22 11:07:46,0,3,e07f2ebdc5026d98722420c9a50e3677.jpg,5.6,800,400,11:07:46
+1.0,2013-02-19,2013-02-19 16:30:45,1,1,7cf2a72cd22ec2bd07aa09d22cf07965.jpg,5.6,800,320,16:30:45
+1.0,2013-01-29,2013-01-29 12:31:15,1,1,214e159caa336b7018ce5f89611abf9a.jpg,5.6,800,100,12:31:15
+1.0,2012-04-03,2012-04-03 11:11:19,0,3,815d69d77ef7cba942eb4a875a06fa4a.jpg,5.6,800,400,11:11:19
+1.0,2012-03-08,2012-03-08 14:55:50,0,3,7ff9fb163e8c76d112510b457c7018a0.jpg,5.6,800,400,14:55:50
+1.0,2013-02-13,2013-02-13 13:13:05,1,1,1176a71b536729e3605d9b58cbad4353.jpg,5.6,800,100,13:13:05
+1.0,2012-03-20,2012-03-20 12:32:24,0,3,c0578667268568a999a74dde3b5731b7.jpg,5.6,800,400,12:32:24
+1.0,2013-01-29,2013-01-29 16:34:51,1,1,62bfbf70df9daebb281d5bda5235c8c8.jpg,5.6,800,320,16:34:51
+1.0,2012-03-13,2012-03-13 11:12:22,0,3,c01a15a961256d9f6aa72d994c1f7f37.jpg,5.6,800,400,11:12:22
+1.0,2012-04-03,2012-04-03 11:04:32,0,3,cdaf7ad408b01d7d218027eabf264e28.jpg,5.6,800,400,11:04:32
+1.0,2013-01-28,2013-01-28 12:34:45,1,1,1f1b76b8f98629c93a29cabad7a18072.jpg,5.6,800,100,12:34:45
+1.0,2013-01-29,2013-01-29 12:10:16,1,1,fe3fc7b96ef4dbbdb7a405abf6dcb3f2.jpg,5.6,800,100,12:10:16
+1.0,2013-02-19,2013-02-19 16:18:15,1,1,b83c3f786e952a8508bad77d6f83cb7b.jpg,5.6,800,400,16:18:15
+1.0,2013-02-19,2013-02-19 16:17:44,1,1,0ce298bc887f921a27f40de743e0b64e.jpg,5.6,800,320,16:17:44
+1.0,2013-01-29,2013-01-29 16:26:59,1,1,1a1a34e0e5227708e8c3482db8ce4bec.jpg,5.6,800,250,16:26:59
+1.0,2013-01-29,2013-01-29 16:33:25,1,1,cb9b64f0c260b3d1861817bd8ce0c599.jpg,5.6,800,320,16:33:25
+1.0,2013-02-13,2013-02-13 12:13:46,1,1,46e69bb0d9d520bd6f90d521ff29192f.jpg,5.6,800,100,12:13:46
+1.0,2013-01-28,2013-01-28 12:34:39,1,1,b61bb2ac92925147ffbf6e85a5c79dfa.jpg,5.6,800,100,12:34:39
+1.0,2013-01-28,2013-01-28 12:37:17,1,1,dc21f28a33d3076f23b524d1dcc45a08.jpg,5.6,800,100,12:37:17
+1.0,2013-02-26,2013-02-26 12:24:16,1,1,2081f663dd5e8e81fa2052f91a8d784a.jpg,5.6,800,200,12:24:16
+1.0,2013-02-19,2013-02-19 16:14:44,1,1,748cd1cbda58f3bacbc0391c9a33f5f3.jpg,5.6,800,320,16:14:44
+1.0,2013-01-28,2013-01-28 12:37:13,1,1,ac1468010705d816e8dc97ea20cce878.jpg,5.6,800,100,12:37:13
+1.0,2012-03-06,2012-03-06 13:29:30,0,3,649f52884e4ee248dfdccb49602fec1c.jpg,5.6,800,400,13:29:30
+1.0,2012-03-20,2012-03-20 09:41:31,0,3,561fd95a20dab6cac431d0725823e00f.jpg,5.6,800,400,09:41:31
+1.0,2012-04-03,2012-04-03 09:42:21,0,3,9b881c69c388d3c3993fba248bb2d3b1.jpg,5.6,800,400,09:42:21
+1.0,2012-04-25,2012-04-25 10:59:11,0,3,317ddc801bda0879933e4617d714d94e.jpg,5.6,800,400,10:59:11
+1.0,2013-01-29,2013-01-29 16:23:10,1,1,4cf42b1c3addb6dd1b92230dcbfae888.jpg,5.6,800,320,16:23:10
+1.0,2012-03-20,2012-03-20 12:30:26,0,3,7caa5c663d0cdcef42b2a6664d0f02e8.jpg,5.6,800,400,12:30:26
+1.0,2012-03-20,2012-03-20 15:22:59,0,3,c9d25eeef4d904a614f76f69f99fa26a.jpg,5.6,800,400,15:22:59
+1.0,2013-01-28,2013-01-28 12:37:14,1,1,4f0862ece97a5f793acd6712e656d64b.jpg,5.6,800,100,12:37:14
+1.0,2012-03-20,2012-03-20 09:41:10,0,3,36157c278a0b8df09c91b3cc3323154d.jpg,5.6,800,400,09:41:10
+1.0,2012-04-03,2012-04-03 09:44:23,0,3,466cf679993514b99d4244ebdf9bd423.jpg,5.6,800,400,09:44:23
+1.0,2013-02-13,2013-02-13 12:17:58,1,1,56400f705d895040e9082677237d9126.jpg,5.6,800,100,12:17:58
+1.0,2012-04-03,2012-04-03 09:36:51,0,3,2a816e3a36c77b768bb586ee3b2534e5.jpg,5.6,800,400,09:36:51
+1.0,2013-01-29,2013-01-29 16:24:17,1,1,26c8c7f7792cba957a48e7c328d7ded2.jpg,5.6,800,500,16:24:17
+1.0,2012-04-03,2012-04-03 11:12:00,0,3,b7e9132c5313632b160529e60d23bdf3.jpg,5.6,800,400,11:12:00
+1.0,2013-02-20,2013-02-20 12:14:04,1,1,987dd127f6e807dd645ce3965964f1c6.jpg,5.6,800,125,12:14:04
+1.0,2012-03-20,2012-03-20 13:57:38,0,3,75a34e13c4f0b9b3d1b4a7d66984b2a2.jpg,5.6,800,400,13:57:38
+1.0,2012-04-03,2012-04-03 09:41:16,0,3,e65e1f93acb9fd31a41387c4da21c189.jpg,5.6,800,400,09:41:16
+1.0,2013-02-13,2013-02-13 12:53:16,1,1,1711b00d77e2f7d1ef6815a21b56fbed.jpg,5.6,800,100,12:53:16
+1.0,2013-01-29,2013-01-29 12:08:28,1,1,b67354cda722d8596ee760c4fbbac1b9.jpg,5.6,800,100,12:08:28
+1.0,2012-03-20,2012-03-20 13:57:54,0,3,a92f22cc94a3f4f758e58316089aa6c7.jpg,5.6,800,400,13:57:54
+1.0,2012-04-03,2012-04-03 11:06:04,0,3,1630116649bf793a74060febe11b6340.jpg,5.6,800,400,11:06:04
+1.0,2012-04-26,2012-04-26 11:09:10,0,3,477e4c4981fa3c3b97be7262d2bc1dbc.jpg,5.6,800,400,11:09:10
+1.0,2012-03-20,2012-03-20 12:31:34,0,3,aef615935d04db7f899f3acb6d05e75d.jpg,5.6,800,400,12:31:34
+1.0,2013-01-29,2013-01-29 12:09:10,1,1,72c2dbd3dd61c4803f3740da8f509d06.jpg,5.6,800,100,12:09:10
+1.0,2012-03-20,2012-03-20 09:46:26,0,3,f21a9850e29681219ac556cee89fed3b.jpg,5.6,800,400,09:46:26
+1.0,2012-03-22,2012-03-22 11:10:14,0,3,bcbf4ad5ef0c060e9e7def7957d17302.jpg,5.6,800,400,11:10:14
+1.0,2013-02-26,2013-02-26 12:45:06,1,1,67bf0d2424f637a85c65a38c3d603b87.jpg,5.6,800,200,12:45:06
+1.0,2013-02-20,2013-02-20 12:16:33,1,1,de681ad1fa619aa0dd9af1de467be9d2.jpg,5.6,800,125,12:16:33
+1.0,2012-03-20,2012-03-20 09:43:49,0,3,8505565f7ce5d4b74a7c8df8f5c349f4.jpg,5.6,800,400,09:43:49
+1.0,2012-04-03,2012-04-03 09:37:47,0,3,bc2f60a6d77d704cd57e129ea32f73ec.jpg,5.6,800,400,09:37:47
+1.0,2013-02-20,2013-02-20 12:03:41,1,1,95431f0399d65c1ffeb37c07ce06acd4.jpg,5.6,800,125,12:03:41
+1.0,2013-02-20,2013-02-20 12:05:00,1,1,9df4560a65c6cd9100f07316681655a2.jpg,5.6,800,160,12:05:00
+1.0,2013-02-26,2013-02-26 12:17:23,1,1,234deeee05698127270b87c8dd4b336e.jpg,5.6,800,200,12:17:23
+1.0,2012-04-03,2012-04-03 11:09:46,0,3,8a02f5b1ac70f81ac86ad1b821496968.jpg,5.6,800,400,11:09:46
+1.0,2012-03-20,2012-03-20 15:22:26,0,3,22593067b890868700954e91fe3b6c22.jpg,5.6,800,400,15:22:26
+1.0,2012-04-03,2012-04-03 09:37:50,0,3,9d8faea952123f89fad6d1be7317b072.jpg,5.6,800,400,09:37:50
+1.0,2012-03-06,2012-03-06 13:29:16,0,3,62b6cd34b628929daaf84d1448c16f5b.jpg,5.6,800,400,13:29:16
+1.0,2012-04-03,2012-04-03 09:39:42,0,3,9462a30033fd2b8c05884b9ae970f5c5.jpg,5.6,800,400,09:39:42
+1.0,2013-01-29,2013-01-29 12:19:59,1,1,616667b202a2f78969cfc3eed4c5bb51.jpg,5.6,800,100,12:19:59
+1.0,2012-03-08,2012-03-08 10:46:23,0,3,b25b3226af02b0e8202cb0972d9d412a.jpg,5.6,800,400,10:46:23
+1.0,2012-03-20,2012-03-20 12:34:26,0,3,660c6452b8d0b34ee76d98338760ddca.jpg,5.6,800,400,12:34:26
+1.0,2013-02-26,2013-02-26 12:10:48,1,1,f55db70a1d1ad356d3b225fdf740db11.jpg,5.6,800,160,12:10:48
+1.0,2012-03-20,2012-03-20 12:35:03,0,3,a1c8ac891cc1bce278993017eed16a09.jpg,5.6,800,400,12:35:03
+1.0,2012-03-20,2012-03-20 09:44:50,0,3,bd89fb900d5cf3f01ec21510dc1c25d5.jpg,5.6,800,400,09:44:50
+1.0,2012-04-03,2012-04-03 09:36:32,0,3,0f29a79e6a77f3dfe973f001ca0899fe.jpg,5.6,800,400,09:36:32
+1.0,2013-01-28,2013-01-28 12:36:07,1,1,c2e528892f79dd4d79409e4705561444.jpg,5.6,800,100,12:36:07
+1.0,2013-01-29,2013-01-29 16:34:54,1,1,f79ca4fca3bfb61ec3318f4e12a2d1a0.jpg,5.6,800,640,16:34:54
+1.0,2013-01-29,2013-01-29 16:32:36,1,1,6fffbc6a86621432a93c935a0fed7155.jpg,5.6,800,320,16:32:36
+1.0,2012-03-20,2012-03-20 12:28:36,0,3,8a1bba32d14863f228110d4aab67290b.jpg,5.6,800,400,12:28:36
+1.0,2013-02-19,2013-02-19 16:25:59,1,1,2f57c526bbd7b65e66c35f009dcb65b2.jpg,5.6,800,320,16:25:59
+1.0,2013-01-28,2013-01-28 12:35:29,1,1,cef180ad639337a73d43764fff67b1ce.jpg,5.6,800,100,12:35:29
+1.0,2013-02-20,2013-02-20 12:34:50,1,1,191871f01d414389d6e9d18bee508aba.jpg,5.6,800,100,12:34:50
+1.0,2012-04-03,2012-04-03 11:10:46,0,3,6ce3820b07053d6d2b134321b31b48f6.jpg,5.6,800,400,11:10:46
+1.0,2012-03-22,2012-03-22 11:08:43,0,3,b932e6d239e4eddf8c194deee0f021e9.jpg,5.6,800,400,11:08:43
+1.0,2013-02-13,2013-02-13 12:55:25,1,1,7a32eca7d0b3df0bf7589ab5659eac69.jpg,5.6,800,100,12:55:25
+1.0,2012-04-03,2012-04-03 12:38:09,0,3,cacbc87370de5fe93c5010b62609f7d0.jpg,5.6,800,400,12:38:09
+1.0,2012-04-03,2012-04-03 09:42:30,0,3,25148eb55816a5fcb43e977faf8d3a3b.jpg,5.6,800,400,09:42:30
+1.0,2012-03-08,2012-03-08 10:48:22,0,3,54fa45ab2d19c79b1284b433f034bd04.jpg,5.6,800,400,10:48:22
+1.0,2012-03-20,2012-03-20 15:24:57,0,3,08391dd602c98c64372a86bbbcd95ad8.jpg,5.6,800,400,15:24:57
+1.0,2012-03-08,2012-03-08 10:47:15,0,3,78c53364783dbd3c65750e6f5693ae7b.jpg,5.6,800,400,10:47:15
+1.0,2012-03-22,2012-03-22 14:03:01,0,3,6d1fde6b5572ba969896aeb0a452f864.jpg,5.6,800,400,14:03:01
+1.0,2013-01-28,2013-01-28 12:34:08,1,1,3a372c11fbc2126aaa2d1bd37801d410.jpg,5.6,800,100,12:34:08
+1.0,2013-02-26,2013-02-26 12:10:54,1,1,49d27d21451d3e9db7d77bd952a2e179.jpg,5.6,800,160,12:10:54
+1.0,2012-03-06,2012-03-06 13:29:38,0,3,763b7f709ace6b77496dc6d25274d8ff.jpg,5.6,800,400,13:29:38
+1.0,2013-02-13,2013-02-13 12:20:50,1,1,aafbc1e8243f184748659db65770f4e2.jpg,5.6,800,100,12:20:50
+1.0,2012-04-03,2012-04-03 11:08:03,0,3,d94398304303d53f90f9043cc31fbc8d.jpg,5.6,800,400,11:08:03
+1.0,2013-02-20,2013-02-20 12:03:22,1,1,f4d2f0576354d7df3e8a4a7830624e7d.jpg,5.6,800,160,12:03:22
+1.0,2012-03-13,2012-03-13 11:11:35,0,3,f854d8843a88d7ce626a837a5e2d8e3b.jpg,5.6,800,400,11:11:35
+1.0,2013-01-29,2013-01-29 16:24:58,1,1,abea2da33194fc359fd443394662e156.jpg,5.6,800,320,16:24:58
+1.0,2012-03-20,2012-03-20 09:44:55,0,3,302c9d151848683c935764775927c2ea.jpg,5.6,800,400,09:44:55
+1.0,2012-04-03,2012-04-03 11:08:40,0,3,ebfd3e656cb641437578357f1166786b.jpg,5.6,800,400,11:08:40
+1.0,2013-01-28,2013-01-28 12:40:02,1,1,7a766fdbe1e45eeec3361549e639123f.jpg,5.6,800,100,12:40:02
+1.0,2013-01-28,2013-01-28 12:40:01,1,1,09cbc08038fc54aeb725e7388a0a07ee.jpg,5.6,800,100,12:40:01
+1.0,2012-03-08,2012-03-08 14:55:51,0,3,2e6a0c5f63b84892b50dcf0a1730dcaf.jpg,5.6,800,400,14:55:51
+1.0,2012-03-20,2012-03-20 12:29:40,0,3,e0535c635f5fb42b49a57004c9b46c82.jpg,5.6,800,400,12:29:40
+1.0,2012-04-03,2012-04-03 09:35:06,0,3,af45e3ce0d6b1412a09050ca458bdea5.jpg,5.6,800,400,09:35:06
+1.0,2013-02-26,2013-02-26 12:29:01,1,1,70272ff6712730345c8bfe5618509772.jpg,5.6,800,200,12:29:01
+1.0,2013-02-13,2013-02-13 12:59:37,1,1,dddf8d7a7d815e20807c811b3ff6ca25.jpg,5.6,800,100,12:59:37
+1.0,2012-04-03,2012-04-03 11:13:15,0,3,e359446fe4aa242ff3a5cf8e1ff74789.jpg,5.6,800,400,11:13:15
+1.0,2012-03-20,2012-03-20 11:09:22,0,3,234e8143ef3106fd2711653cecb860f9.jpg,5.6,800,400,11:09:22
+1.0,2012-04-03,2012-04-03 12:33:50,0,3,3c43dd3099a88c03c97f84d60b73154f.jpg,5.6,800,400,12:33:50
+1.0,2013-02-20,2013-02-20 12:13:23,1,1,0198b44e98ed5ee9837d06fa1933668b.jpg,5.6,800,160,12:13:23
+1.0,2012-03-20,2012-03-20 11:05:46,0,3,ab6dec83267593a3f8d5e42566fe81b6.jpg,5.6,800,400,11:05:46
+1.0,2012-03-08,2012-03-08 12:10:11,0,3,c76a5ecd053671ddbd09b39fd047c861.jpg,5.6,800,400,12:10:11
+1.0,2012-04-03,2012-04-03 09:43:25,0,3,5918fc2f08fb3f69b6f6a78bf6589137.jpg,5.6,800,400,09:43:25
+1.0,2012-03-06,2012-03-06 13:31:29,0,3,7b8f6f1f9a8f4211b3ab215ebd85b5b2.jpg,5.6,800,400,13:31:29
+1.0,2012-04-03,2012-04-03 09:37:01,0,3,b6cebf6eca47f27ba4ef860896e44175.jpg,5.6,800,400,09:37:01
+1.0,2013-01-28,2013-01-28 12:37:22,1,1,9da6f51c0f62d093f414eebe708a6e5f.jpg,5.6,800,100,12:37:22
+1.0,2013-01-28,2013-01-28 12:42:12,1,1,0af78b7777d10e21796ea74aa61e9ec9.jpg,5.6,800,100,12:42:12
+1.0,2012-03-20,2012-03-20 12:29:54,0,3,17ea073d75084ac80c0f243a8b27d409.jpg,5.6,800,400,12:29:54
+1.0,2013-02-26,2013-02-26 12:42:14,1,1,46586cde66a5b05d85f19d31914d9e3e.jpg,5.6,800,200,12:42:14
+1.0,2013-02-26,2013-02-26 12:11:44,1,1,3701cad759185320865586b8a467a1df.jpg,5.6,800,160,12:11:44
+1.0,2013-01-28,2013-01-28 12:42:03,1,1,265e8b98f56de7b843fc4777072c3592.jpg,5.6,800,100,12:42:03
+1.0,2012-04-03,2012-04-03 11:12:30,0,3,056d085c848e4522f9b9415fa1430ea0.jpg,5.6,800,400,11:12:30
+1.0,2013-02-19,2013-02-19 16:14:32,1,1,8e0d1b0f3d70f019478c97919e4fe9e8.jpg,5.6,800,320,16:14:32
+1.0,2012-03-20,2012-03-20 11:05:44,0,3,88d3f32a4d1931d53331ba16c9afa4c9.jpg,5.6,800,400,11:05:44
+1.0,2013-01-28,2013-01-28 12:33:15,1,1,6fa0988af7b41b267ac16c6b96c47f39.jpg,5.6,800,100,12:33:15
+1.0,2013-02-20,2013-02-20 12:01:50,1,1,db810b67dad5adec589dd3d3a1820953.jpg,5.6,800,200,12:01:50
+1.0,2012-03-20,2012-03-20 09:42:23,0,3,8b6eddcacb8739b79b4ade8cffbb45f1.jpg,5.6,800,400,09:42:23
+1.0,2012-04-24,2012-04-24 09:41:52,0,3,b1d65ed5cdf2f1558eb2e42d93013ec3.jpg,5.6,800,400,09:41:52
+1.0,2012-03-20,2012-03-20 12:36:22,0,3,6dcafe6d55dda6229e9039234bc03407.jpg,5.6,800,400,12:36:22
+1.0,2013-01-28,2013-01-28 12:41:48,1,1,fd2b92eec5eb68970130a64263231e78.jpg,5.6,800,100,12:41:48
+1.0,2013-01-28,2013-01-28 12:36:07,1,1,cef51524f504eda256dff0bed435dd74.jpg,5.6,800,100,12:36:07
+1.0,2012-03-06,2012-03-06 13:28:07,0,3,bac2fd587f4b96bccaded41de4e6c8ba.jpg,5.6,800,400,13:28:07
+1.0,2012-03-20,2012-03-20 13:58:02,0,3,75ec183c26c2c682832c2a26a7c606d2.jpg,5.6,800,400,13:58:02
+1.0,2013-01-29,2013-01-29 12:34:45,1,1,b50a0e56ff11fa63ebce3f0e1db5c017.jpg,5.6,800,100,12:34:45
+1.0,2013-02-20,2013-02-20 12:34:51,1,1,4df1ba4d675770df7f9ba50a12b887df.jpg,5.6,800,100,12:34:51
+1.0,2012-03-06,2012-03-06 13:28:15,0,3,8b22beb60269a406cd008bd734993617.jpg,5.6,800,400,13:28:15
+1.0,2013-02-13,2013-02-13 12:52:16,1,1,34d100be5c22c24fe0afbde6ffd6bce0.jpg,5.6,800,100,12:52:16
+1.0,2013-01-28,2013-01-28 12:37:45,1,1,0b0b869d49009a41e0d25c44ffa5065e.jpg,5.6,800,100,12:37:45
+1.0,2012-03-20,2012-03-20 13:59:08,0,3,332f08889d50a3a05b40cb4d6dfc67bf.jpg,5.6,800,400,13:59:08
+1.0,2013-01-28,2013-01-28 12:41:55,1,1,462d49d2c85a98dfd01b1977e2b2fe89.jpg,5.6,800,100,12:41:55
+1.0,2013-02-26,2013-02-26 12:43:59,1,1,00fe599cfef67eae02cf08b4d99dc23a.jpg,5.6,800,200,12:43:59
+1.0,2012-03-20,2012-03-20 11:08:38,0,3,6d097fc2fb3ae9bfa0b4b238511c264f.jpg,5.6,800,400,11:08:38
+1.0,2013-01-28,2013-01-28 12:38:12,1,1,471287f1cbd14508f7be286ca74d2293.jpg,5.6,800,100,12:38:12
+1.0,2012-03-06,2012-03-06 13:31:59,0,3,21081c42502e181961730f79eaeda4ef.jpg,5.6,800,400,13:31:59
+1.0,2012-04-03,2012-04-03 11:05:57,0,3,00a13576da3b1d295e959a8b1bf21f0e.jpg,5.6,800,400,11:05:57
+1.0,2012-04-03,2012-04-03 09:39:45,0,3,2c7b1d38f82b64a652e5ad4c7797880d.jpg,5.6,800,400,09:39:45
+1.0,2013-01-28,2013-01-28 12:33:07,1,1,5bb4d4f4dcb8c5ea4808b862943ac42d.jpg,5.6,800,100,12:33:07
+1.0,2012-03-20,2012-03-20 09:45:34,0,3,85ea2ea823621e783cb92c0263b8af1a.jpg,5.6,800,400,09:45:34
+1.0,2012-03-20,2012-03-20 09:45:59,0,3,5bc215b1419703cf2415031a0dcb3588.jpg,5.6,800,400,09:45:59
+1.0,2012-03-08,2012-03-08 15:00:59,0,3,bf788e571df04723c3c9a79f020bb5b2.jpg,5.6,800,400,15:00:59
+1.0,2012-03-20,2012-03-20 12:31:39,0,3,8062c3660e4e161c2dd1c5401a46aaec.jpg,5.6,800,400,12:31:39
+1.0,2012-03-22,2012-03-22 13:58:27,0,3,14b78931c847666bc5e8bad85ac2da61.jpg,5.6,800,400,13:58:27
+1.0,2012-03-20,2012-03-20 12:30:39,0,3,400b9fe7df4ae770bac1dd023c565fe4.jpg,5.6,800,400,12:30:39
+1.0,2013-02-13,2013-02-13 12:55:18,1,1,fc0bf9b6da9d90953d362b04ff4a7f1d.jpg,5.6,800,100,12:55:18
+1.0,2013-02-19,2013-02-19 16:18:55,1,1,25a1c9d60704acedd2d240c5fc75f2f5.jpg,5.6,800,320,16:18:55
+1.0,2013-01-28,2013-01-28 12:33:26,1,1,afa37eab340aea7db0763f50cae1bee2.jpg,5.6,800,100,12:33:26
+1.0,2013-01-29,2013-01-29 12:30:50,1,1,f0badcbb1211c5bda599231a0fc8f453.jpg,5.6,800,100,12:30:50
+1.0,2013-02-26,2013-02-26 12:11:04,1,1,729b85ebd29c46b1388663367fe9a1b8.jpg,5.6,800,200,12:11:04
+1.0,2012-03-20,2012-03-20 11:06:30,0,3,3f52883b6ffe66f49a5af6f05e06d2ca.jpg,5.6,800,400,11:06:30
+1.0,2013-01-29,2013-01-29 16:29:59,1,1,c197d3b53fa6b56ad1b2a2b10bf02f1f.jpg,5.6,800,320,16:29:59
+1.0,2013-02-20,2013-02-20 12:40:08,1,1,7a1b62683eaa1e870197bedae6647bb2.jpg,5.6,800,100,12:40:08
+1.0,2013-01-28,2013-01-28 12:33:38,1,1,50808a85f82cdd49e7d5052007091c67.jpg,5.6,800,100,12:33:38
+1.0,2012-04-24,2012-04-24 09:48:20,0,3,e8111641aab0df225fe14069a23608f7.jpg,5.6,800,400,09:48:20
+1.0,2013-02-26,2013-02-26 12:13:11,1,1,d40f17e10ad640879e4622ba9813464f.jpg,5.6,800,160,12:13:11
+1.0,2012-04-03,2012-04-03 09:35:11,0,3,2539b38b4ed000be48a1eead6ac1a228.jpg,5.6,800,400,09:35:11
+1.0,2012-03-08,2012-03-08 12:10:27,0,3,d1f5fccf0778bae42a4f34c53331df47.jpg,5.6,800,400,12:10:27
+1.0,2013-02-20,2013-02-20 12:13:47,1,1,da0a6a3f1a48aaae9a681116a233756f.jpg,5.6,800,125,12:13:47
+1.0,2012-03-06,2012-03-06 13:29:38,0,3,0ff13f95dd2412988d27ffd60850b0f9.jpg,5.6,800,400,13:29:38
+1.0,2013-02-26,2013-02-26 12:11:47,1,1,7f6ce746cea08151b1d1a4b2212c0bb7.jpg,5.6,800,200,12:11:47
+1.0,2013-01-29,2013-01-29 12:12:52,1,1,0a806c57f80d8a0b8c74c4960aba5d13.jpg,5.6,800,100,12:12:52
+1.0,2012-03-20,2012-03-20 15:23:05,0,3,f390ae786d3c66d31a5266ed8cb43913.jpg,5.6,800,400,15:23:05
+1.0,2013-01-29,2013-01-29 12:18:02,1,1,db5d48fcf804a50686ef8353ea7213f6.jpg,5.6,800,100,12:18:02
+1.0,2012-03-20,2012-03-20 13:56:30,0,3,9ad09b4dee9297a84c9963de9fdb4ae7.jpg,5.6,800,400,13:56:30
+1.0,2012-02-23,2012-02-23 14:54:37,0,3,4c9043bc9db6cc13220b7110990768ef.jpg,5.6,800,400,14:54:37
+1.0,2012-04-26,2012-04-26 12:36:56,0,3,4c4e3ec865da23ba0e849654c7d217dc.jpg,5.6,800,400,12:36:56
+1.0,2012-03-08,2012-03-08 10:45:21,0,3,4915eaad1403c1beb49fa040b039862f.jpg,5.6,800,400,10:45:21
+1.0,2012-03-20,2012-03-20 12:34:40,0,3,972d805d11da511119d109901ca0012d.jpg,5.6,800,400,12:34:40
+1.0,2012-03-13,2012-03-13 11:09:07,0,3,b1fa54e90dde753ec1b6f2e487e80d3c.jpg,5.6,800,400,11:09:07
+1.0,2012-03-22,2012-03-22 11:09:44,0,3,e4612bfdf5cea56ab6c97bb03df64c92.jpg,5.6,800,400,11:09:44
+1.0,2013-01-28,2013-01-28 12:42:47,1,1,db3839d3ec4b8b6850c57a3ebe23e4ef.jpg,5.6,800,100,12:42:47
+1.0,2012-03-20,2012-03-20 09:45:30,0,3,cb0daaec77e6cbc24b425e20d97af093.jpg,5.6,800,400,09:45:30
+1.0,2012-02-23,2012-02-23 14:56:52,0,3,11c3a0c36ff7a1ad99cdff95298f2b11.jpg,5.6,800,400,14:56:52
+1.0,2012-03-20,2012-03-20 09:43:43,0,3,36b1c5607af345aef46eca1b7e183f0f.jpg,5.6,800,400,09:43:43
+1.0,2012-03-20,2012-03-20 12:30:25,0,3,376d8d0101b76d9de8bba9f69d4ef613.jpg,5.6,800,400,12:30:25
+1.0,2013-02-26,2013-02-26 12:45:31,1,1,992f6b02dd8f12425c2e85c23dbb2c1d.jpg,5.6,800,200,12:45:31
+1.0,2013-01-29,2013-01-29 16:21:27,1,1,717dbc81d9fd537d6fbfff064cb4c9c2.jpg,5.6,800,250,16:21:27
+1.0,2013-01-28,2013-01-28 12:36:06,1,1,e20dc7d1e10a38b47bd560217848ccf1.jpg,5.6,800,100,12:36:06
+1.0,2013-02-26,2013-02-26 12:45:09,1,1,3b6d9e0b24515f712a8de6b9d2a6480f.jpg,5.6,800,200,12:45:09
+1.0,2013-01-29,2013-01-29 16:25:40,1,1,a186192eeeb1e2240cc99c3ccdf98e49.jpg,5.6,800,320,16:25:40
+1.0,2012-03-20,2012-03-20 13:56:11,0,3,9508a8e477238e3c3b333a47ea188a48.jpg,5.6,800,400,13:56:11
+1.0,2012-03-22,2012-03-22 11:08:24,0,3,71e669965cb6fa3334e06c82f4f6897e.jpg,5.6,800,400,11:08:24
+1.0,2012-03-20,2012-03-20 12:36:04,0,3,64680ae941762de859014db906253051.jpg,5.6,800,400,12:36:04
+1.0,2012-04-03,2012-04-03 11:12:21,0,3,cefeddf3d8040dde7776bfcae1527120.jpg,5.6,800,400,11:12:21
+1.0,2013-02-20,2013-02-20 12:03:16,1,1,59329b148075fd37a9d8b13975ec6170.jpg,5.6,800,200,12:03:16
+1.0,2013-01-28,2013-01-28 12:34:12,1,1,9129413fac4cc9cf534d30b803ca5d51.jpg,5.6,800,100,12:34:12
+1.0,2013-02-20,2013-02-20 12:08:41,1,1,c6f798664af2f8d5d15533a45eda7833.jpg,5.6,800,200,12:08:41
+1.0,2012-03-20,2012-03-20 12:35:01,0,3,ebe6bc0cae44aec5abf60e1626730dd6.jpg,5.6,800,400,12:35:01
+1.0,2013-01-29,2013-01-29 16:25:43,1,1,cf441de47438f118ad45bc5037c2e36e.jpg,5.6,800,400,16:25:43
+1.0,2013-01-29,2013-01-29 16:24:09,1,1,cf88b00dc2257ab36759cc821c96d36a.jpg,5.6,800,500,16:24:09
+1.0,2013-02-20,2013-02-20 12:44:51,1,1,aa825a789286ebc2d428c7e492c2e530.jpg,5.6,800,100,12:44:51
+1.0,2013-02-13,2013-02-13 13:07:12,1,1,fdf955713f298419d50029a6529e31dd.jpg,5.6,800,100,13:07:12
+1.0,2012-02-23,2012-02-23 14:54:44,0,3,d2ce0f72d8001fe04eced2b1c9ce2fa8.jpg,5.6,800,400,14:54:44
+1.0,2012-04-03,2012-04-03 11:11:07,0,3,fdd5f69b70745334996f4093ba2f0c56.jpg,5.6,800,400,11:11:07
+1.0,2013-01-29,2013-01-29 12:11:43,1,1,00a9d72c6978d31abb5337dcfcd0cab4.jpg,5.6,800,100,12:11:43
+1.0,2012-03-20,2012-03-20 11:08:24,0,3,9aaf037cd2d152c6ecfdd10ed77303fd.jpg,5.6,800,400,11:08:24
+1.0,2013-02-20,2013-02-20 12:22:27,1,1,e77ab83d6ca6d3ac0f2d98118c261008.jpg,5.6,800,100,12:22:27
+1.0,2012-03-20,2012-03-20 09:44:04,0,3,8978305bc39011dae353706fe0c37f71.jpg,5.6,800,400,09:44:04
+1.0,2013-01-28,2013-01-28 12:41:48,1,1,756bdf41cab2cad301779dea0d73a10d.jpg,5.6,800,100,12:41:48
+1.0,2013-02-26,2013-02-26 12:05:31,1,1,92d24dda18ceb243edfc18133249fe32.jpg,5.6,800,200,12:05:31
+1.0,2012-03-08,2012-03-08 14:57:15,0,3,849f15db6444fc82402dffb28e3e7e1a.jpg,5.6,800,400,14:57:15
+1.0,2013-01-29,2013-01-29 12:33:07,1,1,e2953f98a93200389b9236a75438c21c.jpg,5.6,800,100,12:33:07
+1.0,2012-04-03,2012-04-03 11:11:20,0,3,6032125a1513a980faa7f55a33ed5ca4.jpg,5.6,800,400,11:11:20
+1.0,2012-03-20,2012-03-20 12:35:15,0,3,e43132951efaaf7ac21dd3a1a0869ee4.jpg,5.6,800,400,12:35:15
+1.0,2013-01-29,2013-01-29 12:17:59,1,1,5183f4d5247b6e2d31da818f13b0ee1d.jpg,5.6,800,100,12:17:59
+1.0,2013-01-28,2013-01-28 12:42:14,1,1,86a705586192ef26d4f537bb361ed86d.jpg,5.6,800,100,12:42:14
+1.0,2012-03-20,2012-03-20 15:23:34,0,3,653042903f09eeb32c150b5610a1375e.jpg,5.6,800,400,15:23:34
+1.0,2012-04-03,2012-04-03 11:11:24,0,3,2ee9f5d3d7120d13c2f6102c5d7d35f2.jpg,5.6,800,400,11:11:24
+1.0,2013-01-29,2013-01-29 16:26:24,1,1,6b10e73ffd878133464000d5ca3b74cf.jpg,5.6,800,320,16:26:24
+1.0,2013-02-20,2013-02-20 12:09:29,1,1,37b4521ffe6ec5d32b2654be23b397f4.jpg,5.6,800,200,12:09:29
+1.0,2013-01-29,2013-01-29 12:12:43,1,1,b51cd3abd4c040c75a3842777a7e1f89.jpg,5.6,800,100,12:12:43
+1.0,2013-01-29,2013-01-29 12:19:02,1,1,233439b5f8e2beb665c3059d483a5541.jpg,5.6,800,100,12:19:02
+1.0,2013-02-13,2013-02-13 12:41:56,1,1,f654f631ab4268c712167b50813780e7.jpg,5.6,800,100,12:41:56
+1.0,2013-01-29,2013-01-29 16:22:36,1,1,c5eca51b6723a618ec69c5c270c784c3.jpg,5.6,800,500,16:22:36
+1.0,2013-02-26,2013-02-26 12:04:40,1,1,982bd432f7a57a3b20e23884e4b1e74e.jpg,5.6,800,160,12:04:40
+1.0,2013-01-29,2013-01-29 16:29:28,1,1,817400b8905d03b02cf502f65e4468cb.jpg,5.6,800,320,16:29:28
+1.0,2012-04-03,2012-04-03 11:09:22,0,3,fb59bcbb67115ce8f1a17bc0e40ad050.jpg,5.6,800,400,11:09:22
+1.0,2013-01-28,2013-01-28 12:40:29,1,1,6b16ef8367b11abc00449b7b88150f82.jpg,5.6,800,100,12:40:29
+1.0,2013-02-20,2013-02-20 12:21:40,1,1,1d1aee6538268988985ec8b2950dbfe1.jpg,5.6,800,100,12:21:40
+1.0,2013-02-26,2013-02-26 12:27:04,1,1,112161ff3b9ecdee6844422ecfaef937.jpg,5.6,800,200,12:27:04
+1.0,2013-01-28,2013-01-28 12:42:13,1,1,2c84a8b4f321abb78af7b76a038da3db.jpg,5.6,800,100,12:42:13
+1.0,2013-01-28,2013-01-28 12:33:10,1,1,616618c91f7dd55f768d4177aca5c232.jpg,5.6,800,100,12:33:10
+1.0,2012-03-20,2012-03-20 13:58:26,0,3,45f16d3f9bbc0ea1a2a1b8fcfebdd7ba.jpg,5.6,800,400,13:58:26
+1.0,2013-02-26,2013-02-26 12:09:31,1,1,e4b6d8f92dec43f0d0dfd7d1a0fbfb62.jpg,5.6,800,200,12:09:31
+1.0,2013-02-20,2013-02-20 12:19:40,1,1,66f909453d28438c65b8a77e8f8ebb1d.jpg,5.6,800,100,12:19:40
+1.0,2013-02-19,2013-02-19 16:30:11,1,1,692aa5470d1992a14283f0ff91f8d09b.jpg,5.6,800,320,16:30:11
+1.0,2013-02-20,2013-02-20 12:34:24,1,1,70e78a836d4950a5d34db91625699c08.jpg,5.6,800,100,12:34:24
+1.0,2013-02-20,2013-02-20 12:05:01,1,1,18b2992f68b0454b248d006bac4fc45c.jpg,5.6,800,160,12:05:01
+1.0,2012-03-22,2012-03-22 11:09:07,0,3,6be901ca0375f431ab691c858a75960b.jpg,5.6,800,400,11:09:07
+1.0,2013-01-28,2013-01-28 12:42:43,1,1,6bc6e3e64f70597c9ed4a154a6de40c9.jpg,5.6,800,100,12:42:43
+1.0,2012-04-03,2012-04-03 11:06:30,0,3,284fe498b0fd035d48de9907da77d659.jpg,5.6,800,400,11:06:30
+1.0,2013-02-20,2013-02-20 12:06:24,1,1,993fae4171dec32a68254b0361dea5c8.jpg,5.6,800,160,12:06:24
+1.0,2013-02-20,2013-02-20 12:09:46,1,1,930bf482051ba2a3fbe1a0f4e26f77df.jpg,5.6,800,200,12:09:46
+1.0,2013-01-29,2013-01-29 12:09:25,1,1,cb91c8ef81331065cf454a124a01d5c6.jpg,5.6,800,100,12:09:25
+1.0,2013-01-28,2013-01-28 12:34:17,1,1,503eb4ca1f9c614107ffac5a17721c3f.jpg,5.6,800,100,12:34:17
+1.0,2013-01-29,2013-01-29 16:24:56,1,1,2ac25b3b2005622172985e9f005e2580.jpg,5.6,800,320,16:24:56
+1.0,2012-03-08,2012-03-08 10:44:01,0,3,19c15a398aff25e9ff55652880418725.jpg,5.6,800,400,10:44:01
+1.0,2013-01-29,2013-01-29 12:09:07,1,1,93ce9fba47251ad11f5abe2cc0e60128.jpg,5.6,800,100,12:09:07
+1.0,2012-04-03,2012-04-03 12:35:44,0,3,9337bc1b1e7b3a61965e72601ca3e139.jpg,5.6,800,400,12:35:44
+1.0,2012-03-20,2012-03-20 13:56:12,0,3,4eb9e31270201fa0016ae84f61d00eed.jpg,5.6,800,400,13:56:12
+1.0,2013-02-26,2013-02-26 12:45:05,1,1,6d5b17f95ce0828640e22676f92d6bac.jpg,5.6,800,200,12:45:05
+1.0,2013-01-29,2013-01-29 12:10:44,1,1,dd80f05aa5ed61f081805f64cd60f015.jpg,5.6,800,100,12:10:44
+1.0,2012-04-03,2012-04-03 09:36:20,0,3,e43924717791814c79d00a93c4a4ea71.jpg,5.6,800,400,09:36:20
+1.0,2013-02-13,2013-02-13 12:54:58,1,1,bbc781c11b990b2522bbd139105c22e7.jpg,5.6,800,100,12:54:58
+1.0,2012-04-03,2012-04-03 09:44:48,0,3,4350617cc87feb2fc7c96682bd6dc349.jpg,5.6,800,400,09:44:48
+1.0,2013-01-29,2013-01-29 12:11:40,1,1,d88de433b49e5b0b247bc3b4e321f894.jpg,5.6,800,100,12:11:40
+1.0,2013-01-29,2013-01-29 16:33:40,1,1,723098eea2d5b4b593be1741a97cd72f.jpg,5.6,800,640,16:33:40
+1.0,2013-02-26,2013-02-26 12:10:41,1,1,60f2601cc80855af229ba9cb72c43674.jpg,5.6,800,160,12:10:41
+1.0,2012-03-08,2012-03-08 10:43:59,0,3,7eab868663075ad255bcb686a201fb90.jpg,5.6,800,400,10:43:59
+1.0,2013-01-28,2013-01-28 12:38:34,1,1,6fad54fdc13ee7bf22dda3ca3c8f9736.jpg,5.6,800,100,12:38:34
+1.0,2012-03-20,2012-03-20 12:32:16,0,3,23dc51f832edbcb521f7012a9b6b0f87.jpg,5.6,800,400,12:32:16
+1.0,2012-04-03,2012-04-03 11:11:17,0,3,31e59be6aa6cf204e30c0ddd4ef8ab17.jpg,5.6,800,400,11:11:17
+1.0,2013-02-20,2013-02-20 12:22:24,1,1,341648384acca1c999e00c0cd05f2783.jpg,5.6,800,100,12:22:24
+1.0,2012-03-20,2012-03-20 11:05:31,0,3,af8b8b841c7ec29964daf1d6b95b4e6c.jpg,5.6,800,400,11:05:31
+1.0,2013-02-19,2013-02-19 16:30:49,1,1,673086934a115cb26de89443063d7a4f.jpg,5.6,800,320,16:30:49
+1.0,2013-01-28,2013-01-28 12:42:33,1,1,c5ee8c8b323a476ffacc63b69681aa03.jpg,5.6,800,100,12:42:33
+1.0,2012-03-20,2012-03-20 13:56:19,0,3,1cc1cc51363923f3dce3deb0a83ac179.jpg,5.6,800,400,13:56:19
+1.0,2013-02-19,2013-02-19 16:26:32,1,1,e87b952a4fb642db16d74c249f47783a.jpg,5.6,800,400,16:26:32
+1.0,2013-02-19,2013-02-19 16:31:04,1,1,83e53d13c33e916130f7ec4d2bfa34a3.jpg,5.6,800,320,16:31:04
+1.0,2012-04-03,2012-04-03 12:37:50,0,3,c033a5064e056ce83a50f32a664ea2ee.jpg,5.6,800,400,12:37:50
+1.0,2013-02-13,2013-02-13 13:25:36,1,1,e0cb4e4c2c010586e6b20d3404b64728.jpg,5.6,800,100,13:25:36
+1.0,2012-04-03,2012-04-03 09:44:56,0,3,ad08653e80558d986aa78744a23c303e.jpg,5.6,800,400,09:44:56
+1.0,2013-02-13,2013-02-13 12:23:56,1,1,a3deaabc9988ccc73b40ac4a8adc006f.jpg,5.6,800,100,12:23:56
+1.0,2013-02-20,2013-02-20 12:44:17,1,1,77dcf84d8a0cd1fd1701208de8b18524.jpg,5.6,800,100,12:44:17
+1.0,2012-03-20,2012-03-20 15:25:13,0,3,d4d58c13b424e5e056f8e523ff01868e.jpg,5.6,800,400,15:25:13
+1.0,2013-01-29,2013-01-29 12:16:28,1,1,b580d6a04c7d27d7a981e57fcc95eea3.jpg,5.6,800,100,12:16:28
+1.0,2012-03-20,2012-03-20 15:24:54,0,3,01946d3e9bcd09bbda218e3ca552a990.jpg,5.6,800,400,15:24:54
+1.0,2012-04-03,2012-04-03 11:08:23,0,3,bcd7631e2ec82f78e51c9b82e3f581d5.jpg,5.6,800,400,11:08:23
+1.0,2013-01-29,2013-01-29 16:24:00,1,1,53d13ff07484c483b153e210001bace6.jpg,5.6,800,640,16:24:00
+1.0,2013-02-13,2013-02-13 12:21:28,1,1,1bd86840a2fa5d67823b6e1cbb9f9d11.jpg,5.6,800,100,12:21:28
+1.0,2013-02-20,2013-02-20 12:06:30,1,1,86357cb0c2be0580fadfa2edbc487b19.jpg,5.6,800,160,12:06:30
+1.0,2012-03-20,2012-03-20 09:41:33,0,3,155c704a9a9ebcc2642837dd920927f8.jpg,5.6,800,400,09:41:33
+1.0,2012-04-03,2012-04-03 09:34:56,0,3,2d1fd6498cb0f21310ad80239eba3417.jpg,5.6,800,400,09:34:56
+1.0,2012-03-22,2012-03-22 14:00:15,0,3,a46a06374bdfc0032bf537e9d48d082c.jpg,5.6,800,400,14:00:15
+1.0,2013-02-19,2013-02-19 16:21:42,1,1,2543876283081dd72746f7a1c7dee4c2.jpg,5.6,800,400,16:21:42
+1.0,2013-02-19,2013-02-19 16:32:57,1,1,751dde7ed25b97df66ff35debfaaabd5.jpg,5.6,800,320,16:32:57
+1.0,2012-03-20,2012-03-20 09:43:45,0,3,8fe35949b26b1f35399c1d2b15e0172f.jpg,5.6,800,400,09:43:45
+1.0,2012-03-06,2012-03-06 13:28:24,0,3,461ffb136a0c7294c3acd1eaa89c928f.jpg,5.6,800,400,13:28:24
+1.0,2012-04-03,2012-04-03 09:35:05,0,3,d65d0505a4e20d0faf4d5ef70711beb5.jpg,5.6,800,400,09:35:05
+1.0,2013-02-20,2013-02-20 12:03:41,1,1,d973929af69f461a350654fbcc5b1aa4.jpg,5.6,800,125,12:03:41
+1.0,2012-03-20,2012-03-20 09:41:05,0,3,9ee3f4c895dfb8879b634a2f50934f4b.jpg,5.6,800,400,09:41:05
+1.0,2013-02-20,2013-02-20 12:16:32,1,1,350aaeb9e707a668e93b27de2f8672d9.jpg,5.6,800,125,12:16:32
+1.0,2013-02-26,2013-02-26 12:04:25,1,1,908bd1746b1ca23965e3d51e2f298779.jpg,5.6,800,160,12:04:25
+1.0,2013-02-13,2013-02-13 13:16:09,1,1,09bebe3726b681fc9288d7bfb88a773c.jpg,5.6,800,100,13:16:09
+1.0,2012-03-08,2012-03-08 10:44:50,0,3,804145a479bc236bd0139287182f4aeb.jpg,5.6,800,400,10:44:50
+1.0,2013-02-13,2013-02-13 13:26:06,1,1,d1427bcb1d07cbb928eb85907c3b6e4d.jpg,5.6,800,100,13:26:06
+1.0,2012-04-03,2012-04-03 11:05:49,0,3,dfc42cd10c3b9ae42d31e05afc35d67c.jpg,5.6,800,400,11:05:49
+1.0,2012-03-08,2012-03-08 10:43:51,0,3,027c215b8e6edddac7ffbb80c075a48c.jpg,5.6,800,400,10:43:51
+1.0,2012-03-06,2012-03-06 13:29:12,0,3,36578cf325c65cf269a5cdc9ae91871a.jpg,5.6,800,400,13:29:12
+1.0,2012-03-22,2012-03-22 14:00:11,0,3,eae0470d3fc8b75a88ba4064fc76dc98.jpg,5.6,800,400,14:00:11
+1.0,2013-01-28,2013-01-28 12:40:29,1,1,af496a317ded76f41b87660a7724ab9d.jpg,5.6,800,100,12:40:29
+1.0,2012-03-20,2012-03-20 09:45:06,0,3,96a7458e838facb941b824fda93aa180.jpg,5.6,800,400,09:45:06
+1.0,2012-03-20,2012-03-20 09:41:00,0,3,a24fec243f119f010403fec61150add7.jpg,5.6,800,400,09:41:00
+1.0,2012-03-20,2012-03-20 15:25:06,0,3,6bfc7343cc663d27e44595e103e8fe29.jpg,5.6,800,400,15:25:06
+1.0,2012-03-20,2012-03-20 13:58:40,0,3,b0727bf19f4aed4f9fd1d3085d72d8a6.jpg,5.6,800,400,13:58:40
+1.0,2012-03-22,2012-03-22 11:04:53,0,3,e55500bfc392906ba21609cbf4686067.jpg,5.6,800,400,11:04:53
+1.0,2012-03-20,2012-03-20 15:24:12,0,3,685e8cf2e81c5deb65ef3dfbecaeb348.jpg,5.6,800,400,15:24:12
+1.0,2013-02-13,2013-02-13 12:29:14,1,1,c62b746d6eb0106f8cf184ea32f6bf84.jpg,5.6,800,100,12:29:14
+1.0,2013-01-29,2013-01-29 16:30:38,1,1,2772acd4bfd7e780a238a444dbe9bd1b.jpg,5.6,800,500,16:30:38
+1.0,2013-02-19,2013-02-19 16:26:16,1,1,670a03c70cf19275659f5c262bb165f0.jpg,5.6,800,400,16:26:16
+1.0,2012-03-22,2012-03-22 11:06:31,0,3,e72d0aac62a6b63f5aa6f30db30a3bb1.jpg,5.6,800,400,11:06:31
+1.0,2012-03-13,2012-03-13 11:09:04,0,3,b68f5b1839319f4daacbf6574e577ecf.jpg,5.6,800,400,11:09:04
+1.0,2012-04-03,2012-04-03 11:11:05,0,3,bb70d035c580e53d35a8a51ea2414f18.jpg,5.6,800,400,11:11:05
+1.0,2013-01-28,2013-01-28 12:33:01,1,1,0f33f4e4d0943555318376b553354ee9.jpg,5.6,800,100,12:33:01
+1.0,2013-02-20,2013-02-20 12:34:09,1,1,f3ca788708cb37a73042605fb9af99c5.jpg,5.6,800,100,12:34:09
+1.0,2013-01-29,2013-01-29 12:31:26,1,1,9d3c336ba4d96430a47d381fd4ebbb45.jpg,5.6,800,100,12:31:26
+1.0,2012-03-20,2012-03-20 13:56:31,0,3,64fb64984d53ddf57a10a8bde45f8072.jpg,5.6,800,400,13:56:31
+1.0,2012-03-06,2012-03-06 13:28:13,0,3,04cba8be62ff7ecf0b6bc56c15638296.jpg,5.6,800,400,13:28:13
+1.0,2012-04-03,2012-04-03 11:11:21,0,3,4cc5799fbb8362fa0cae8d304e99b364.jpg,5.6,800,400,11:11:21
+1.0,2012-03-20,2012-03-20 12:32:51,0,3,4f2da0f4161eece67609572fa7d964db.jpg,5.6,800,400,12:32:51
+1.0,2012-04-03,2012-04-03 11:09:13,0,3,5ab2bca8cf3f4f121ed4c30870267584.jpg,5.6,800,400,11:09:13
+1.0,2012-03-08,2012-03-08 10:47:32,0,3,9521d4fbce0c50e804d4eff1ead80c85.jpg,5.6,800,400,10:47:32
+1.0,2013-01-29,2013-01-29 12:34:22,1,1,d7f038d41f9c971324663b5457385fd1.jpg,5.6,800,100,12:34:22
+1.0,2012-03-20,2012-03-20 09:47:45,0,3,b2de9eeb111054e4812ffd9c1481056b.jpg,5.6,800,400,09:47:45
+1.0,2012-04-03,2012-04-03 11:12:10,0,3,1d9d78d347537eaaeb73d0a23cdd3cde.jpg,5.6,800,400,11:12:10
+1.0,2013-02-26,2013-02-26 12:17:34,1,1,dc515a118d33fc621dc34ad1450c0c76.jpg,5.6,800,250,12:17:34
+1.0,2012-04-03,2012-04-03 11:05:32,0,3,2b35fa951c30d2fda00bd6d62402a6d4.jpg,5.6,800,400,11:05:32
+1.0,2012-03-22,2012-03-22 11:06:35,0,3,4007d6f1dd29974414e487cfb208996c.jpg,5.6,800,400,11:06:35
+1.0,2013-01-28,2013-01-28 12:38:02,1,1,699d12ca64a3d285df5be6ffada4e084.jpg,5.6,800,100,12:38:02
+1.0,2013-01-29,2013-01-29 12:27:45,1,1,51739286c181aa6b866fe1a34c111594.jpg,5.6,800,100,12:27:45
+1.0,2012-04-03,2012-04-03 11:12:56,0,3,4ce4a69bf1b0857242f149ca7f834b3a.jpg,5.6,800,400,11:12:56
+1.0,2012-03-08,2012-03-08 10:47:15,0,3,bb5ef53982ea7cd24d6f5f706eac7ffa.jpg,5.6,800,400,10:47:15
+1.0,2012-03-20,2012-03-20 11:08:21,0,3,c331b10bff6d624e262dcc6a740d2627.jpg,5.6,800,400,11:08:21
+1.0,2013-02-19,2013-02-19 16:29:41,1,1,edc22d6f8a03180430e613379fa1b482.jpg,5.6,800,320,16:29:41
+1.0,2012-03-06,2012-03-06 13:29:00,0,3,19eb168d55a6d5bb8a27ee2e9b98bc51.jpg,5.6,800,400,13:29:00
+1.0,2013-02-26,2013-02-26 12:04:36,1,1,f80dbb49fc2a370c35a68b712bfcf241.jpg,5.6,800,160,12:04:36
+1.0,2012-03-08,2012-03-08 10:43:49,0,3,de3206952332e49f125fb88c61974332.jpg,5.6,800,400,10:43:49
+1.0,2012-04-03,2012-04-03 09:37:55,0,3,c165b2691305343bf5983df2b8af3a9d.jpg,5.6,800,400,09:37:55
+1.0,2013-01-28,2013-01-28 12:41:58,1,1,2ba06383dba794ee0217aaa6ad09290a.jpg,5.6,800,100,12:41:58
+1.0,2013-01-28,2013-01-28 12:41:19,1,1,995694ccb919ae5a54c9104b2d014f6e.jpg,5.6,800,100,12:41:19
+1.0,2012-03-22,2012-03-22 11:08:40,0,3,d2ebe6b46b0447e4bd419ee53273f729.jpg,5.6,800,400,11:08:40
+1.0,2013-02-13,2013-02-13 12:19:50,1,1,41e8c82e213e596d38df56bf5fa72bf9.jpg,5.6,800,100,12:19:50
+1.0,2013-02-20,2013-02-20 12:19:26,1,1,f78a816951a0cf4e7ce78f52d679f78d.jpg,5.6,800,100,12:19:26
+1.0,2013-02-20,2013-02-20 12:25:58,1,1,28ebc944134ed5828940d1da4d117ad1.jpg,5.6,800,100,12:25:58
+1.0,2012-04-03,2012-04-03 09:41:24,0,3,4b30c4a76ba3c8c2ae7ba51cf670aa0a.jpg,5.6,800,400,09:41:24
+1.0,2013-02-26,2013-02-26 12:10:15,1,1,bc97d14f2a03137fa78ba60e541c20d8.jpg,5.6,800,160,12:10:15
+1.0,2012-03-20,2012-03-20 09:44:31,0,3,47b7eeaddc87d912c716d31d9984371f.jpg,5.6,800,400,09:44:31
+1.0,2012-03-20,2012-03-20 15:24:03,0,3,f5460ac37cc9f23056df54421cafec51.jpg,5.6,800,400,15:24:03
+1.0,2012-04-26,2012-04-26 12:34:50,0,3,bb94f72d1ba96f124cffc8b4951f0410.jpg,5.6,800,400,12:34:50
+1.0,2012-04-03,2012-04-03 11:11:21,0,3,2694bac0ea9311d82043b1d6e0c0a230.jpg,5.6,800,400,11:11:21
+1.0,2012-04-03,2012-04-03 09:39:48,0,3,7db3072436ee38781e60d24ad32af9d3.jpg,5.6,800,400,09:39:48
+1.0,2013-02-19,2013-02-19 16:28:56,1,1,9d1497242e0138e18ec077c923a18753.jpg,5.6,800,320,16:28:56
+1.0,2013-02-26,2013-02-26 12:31:42,1,1,b9467bc1809c5296b245f9613d60a706.jpg,5.6,800,200,12:31:42
+1.0,2013-02-13,2013-02-13 12:29:17,1,1,44a29778326314d262a35ec96744615d.jpg,5.6,800,100,12:29:17
+1.0,2012-03-06,2012-03-06 13:29:30,0,3,0086b162f62fbfa5c315153c8a8f052a.jpg,5.6,800,400,13:29:30
+1.0,2013-01-29,2013-01-29 16:29:12,1,1,7a22ae78970d3397e498e5ab3dca0362.jpg,5.6,800,250,16:29:12
+1.0,2013-01-29,2013-01-29 16:31:40,1,1,0468858ac10e7e3d1379410fd7786689.jpg,5.6,800,500,16:31:40
+1.0,2013-01-28,2013-01-28 12:40:29,1,1,e580fe3da154bdc6b04bf8313d71c58b.jpg,5.6,800,100,12:40:29
+1.0,2013-01-28,2013-01-28 12:41:28,1,1,0120a461654054a1f22292e3d6ccbea3.jpg,5.6,800,100,12:41:28
+1.0,2013-02-13,2013-02-13 12:21:15,1,1,77baf46ef92eb97ab3440503ac228f1d.jpg,5.6,800,100,12:21:15
+1.0,2013-01-28,2013-01-28 12:33:20,1,1,0ad44d5157f2407b72cc805ebcfd6b20.jpg,5.6,800,100,12:33:20
+1.0,2013-02-19,2013-02-19 16:32:55,1,1,9b0f90ca75569837fb44a0106cc64998.jpg,5.6,800,320,16:32:55
+1.0,2013-02-26,2013-02-26 12:16:16,1,1,65eda9deae75b047aa4ed1c411b9975d.jpg,5.6,800,200,12:16:16
+1.0,2013-02-19,2013-02-19 16:17:58,1,1,802e294f9099a7161ee5b11cd4fd1c37.jpg,5.6,800,320,16:17:58
+1.0,2012-03-20,2012-03-20 09:41:31,0,3,550c424cf7587e52a332c105f73fea05.jpg,5.6,800,400,09:41:31
+1.0,2013-01-29,2013-01-29 12:15:54,1,1,7355217a7398a9296c8c3d973a4bbbfd.jpg,5.6,800,100,12:15:54
+1.0,2012-03-20,2012-03-20 11:04:29,0,3,3c89803afefcd0803c0e317d6cd4cad6.jpg,5.6,800,400,11:04:29
+1.0,2013-01-29,2013-01-29 12:31:20,1,1,bce118de0bdfb1fdf64da3707fb961c3.jpg,5.6,800,100,12:31:20
+1.0,2013-02-19,2013-02-19 16:23:24,1,1,aca8e0d0c8ee1afdbe6e81cc488bc44c.jpg,5.6,800,320,16:23:24
+1.0,2013-02-19,2013-02-19 16:25:40,1,1,41eddbbbdc6f629b92f0d657f367dbf1.jpg,5.6,800,320,16:25:40
+1.0,2013-02-13,2013-02-13 13:12:33,1,1,bdf235c23dc82f481d972141423b479f.jpg,5.6,800,100,13:12:33
+1.0,2013-02-20,2013-02-20 12:13:48,1,1,0992d4fc2d7197f41f7250156995ac81.jpg,5.6,800,160,12:13:48
+1.0,2013-01-29,2013-01-29 12:17:10,1,1,aea3797691b144e5768ca1e8721c2439.jpg,5.6,800,100,12:17:10
+1.0,2012-03-20,2012-03-20 12:34:26,0,3,4f08b7f7a9fbbd0a2cd5e2df103df40d.jpg,5.6,800,400,12:34:26
+1.0,2013-02-20,2013-02-20 12:13:30,1,1,37d848eed173a7b9fd9c4d2582ff026a.jpg,5.6,800,200,12:13:30
+1.0,2012-03-20,2012-03-20 09:46:28,0,3,3fc95e27a1440e2a724c58f8ae60dc8b.jpg,5.6,800,400,09:46:28
+1.0,2012-03-06,2012-03-06 13:31:39,0,3,e285f483dacb2129b0525b7526e35df3.jpg,5.6,800,400,13:31:39
+1.0,2013-01-29,2013-01-29 16:31:43,1,1,6a03b3e5728a6b5b1cf2e22739107470.jpg,5.6,800,320,16:31:43
+1.0,2013-01-28,2013-01-28 12:41:33,1,1,74ac80becd0fb4c63c39bfe23ea642b7.jpg,5.6,800,100,12:41:33
+1.0,2012-03-20,2012-03-20 15:25:09,0,3,4463690de78261b7cd55fb5366edaa52.jpg,5.6,800,400,15:25:09
+1.0,2012-04-03,2012-04-03 11:07:09,0,3,ec78f41f99317699e0c299c8ebfa5e3a.jpg,5.6,800,400,11:07:09
+1.0,2013-02-13,2013-02-13 13:06:36,1,1,bf48555276fc734213d9d50bd4aafad7.jpg,5.6,800,100,13:06:36
+1.0,2012-03-06,2012-03-06 13:32:38,0,3,78fc9ee35acc1f6231e3f4da5c6285c0.jpg,5.6,800,400,13:32:38
+1.0,2012-03-20,2012-03-20 13:57:58,0,3,77932ccc457d4373f5c4bf242d1c60f8.jpg,5.6,800,400,13:57:58
+1.0,2013-01-29,2013-01-29 16:22:39,1,1,18cef0473ac80a9d05716971f750e99b.jpg,5.6,800,400,16:22:39
+1.0,2013-01-28,2013-01-28 12:42:14,1,1,0c92e4bfd571ab2a69e0d6eaad8cdecb.jpg,5.6,800,100,12:42:14
+1.0,2012-03-20,2012-03-20 13:57:51,0,3,f998f33cc24a2ad3aa6813dd4a60667a.jpg,5.6,800,400,13:57:51
+1.0,2013-01-29,2013-01-29 12:17:48,1,1,e0f674067460b0ab1ca5165c2ce038d9.jpg,5.6,800,100,12:17:48
+1.0,2013-01-28,2013-01-28 12:40:55,1,1,39df637d4a435ca0c9aac62299fd841f.jpg,5.6,800,100,12:40:55
+1.0,2013-02-26,2013-02-26 12:30:04,1,1,c3e66d705b5066b2f7a30fbbbb3333c5.jpg,5.6,800,200,12:30:04
+1.0,2012-04-03,2012-04-03 11:09:28,0,3,f04ad986edff9a6642dc971c5ed2c5bc.jpg,5.6,800,400,11:09:28
+1.0,2012-03-08,2012-03-08 12:12:27,0,3,55b663aa8c1fca1525eb2c97c2838950.jpg,5.6,800,400,12:12:27
+1.0,2012-03-06,2012-03-06 13:30:09,0,3,fb44009d1ea210435e62987b51f8054c.jpg,5.6,800,400,13:30:09
+1.0,2012-03-20,2012-03-20 12:35:56,0,3,92dd600de5be92367a8fb969e61d7d45.jpg,5.6,800,400,12:35:56
+1.0,2013-01-29,2013-01-29 12:17:02,1,1,b36deabfd871b1ae81fb6939864e87fb.jpg,5.6,800,100,12:17:02
+1.0,2013-01-28,2013-01-28 12:40:24,1,1,e340fb211df24258ce873b4fbb02b350.jpg,5.6,800,100,12:40:24
+1.0,2013-02-13,2013-02-13 12:45:55,1,1,ba5369235cd36e24490d672e2651cb81.jpg,5.6,800,100,12:45:55
+1.0,2013-01-29,2013-01-29 12:12:50,1,1,b191219aece0766fdb00fb529ce8eae2.jpg,5.6,800,100,12:12:50
+1.0,2013-01-29,2013-01-29 16:30:40,1,1,0961adb06008cf96a6268f18f677a4cf.jpg,5.6,800,400,16:30:40
+1.0,2013-01-29,2013-01-29 12:11:36,1,1,0d3ab9f81e54a55a533f92857e991efc.jpg,5.6,800,100,12:11:36
+1.0,2013-01-28,2013-01-28 12:34:04,1,1,b2d075500c69173fd11dc0d40facd1c2.jpg,5.6,800,100,12:34:04
+1.0,2012-03-06,2012-03-06 13:31:18,0,3,3e7074f7aa7f622ec490306f4bfba92d.jpg,5.6,800,400,13:31:18
+1.0,2012-03-22,2012-03-22 11:10:14,0,3,beca67c666116936caae0ac75890f520.jpg,5.6,800,400,11:10:14
+1.0,2012-04-03,2012-04-03 12:34:54,0,3,e3dcfd5df4071490cc5b316b52d9e920.jpg,5.6,800,400,12:34:54
+1.0,2013-01-28,2013-01-28 12:33:25,1,1,841e80b752348e7d4689ed2db09a8d6f.jpg,5.6,800,100,12:33:25
+1.0,2012-04-03,2012-04-03 11:04:04,0,3,a36d69648b2a41de6688060b878ccfac.jpg,5.6,800,400,11:04:04
+1.0,2013-02-26,2013-02-26 12:42:55,1,1,2a0e54033f43bd8010ea86a8c3dcd876.jpg,5.6,800,200,12:42:55
+1.0,2013-01-29,2013-01-29 16:25:16,1,1,3ad3ace20237d962e9b19d2db31d7b71.jpg,5.6,800,320,16:25:16
+1.0,2013-02-20,2013-02-20 12:34:48,1,1,07d7e42366e0c4bc313be7ad23bf85df.jpg,5.6,800,100,12:34:48
+1.0,2013-02-26,2013-02-26 12:15:32,1,1,285bb687d9acc04cdd9d49615bc930c7.jpg,5.6,800,200,12:15:32
+1.0,2012-03-20,2012-03-20 11:04:30,0,3,e459f695876e899200cf0f0b0825b862.jpg,5.6,800,400,11:04:30
+1.0,2013-02-13,2013-02-13 12:14:09,1,1,25c7e915e10a4b3591b8907ce27bc145.jpg,5.6,800,100,12:14:09
+1.0,2013-01-28,2013-01-28 12:40:28,1,1,8b07e46b8b58d74347efe463f9d4aaf8.jpg,5.6,800,100,12:40:28
+1.0,2013-01-29,2013-01-29 16:31:37,1,1,82c87faa4dccf7e01b4fc36130d0b01d.jpg,5.6,800,500,16:31:37
+1.0,2012-03-20,2012-03-20 13:57:58,0,3,1144ae5d3e46ba3ecd322082c17bdabd.jpg,5.6,800,400,13:57:58
+1.0,2013-01-29,2013-01-29 12:10:01,1,1,d6c23a36bb20adb3552af5b06d1c220e.jpg,5.6,800,100,12:10:01
+1.0,2013-02-20,2013-02-20 12:10:12,1,1,f85f605d9c6ba1e8509a399dedcf1636.jpg,5.6,800,160,12:10:12
+1.0,2012-03-20,2012-03-20 11:09:35,0,3,48271b7257fe3a1e111031b596d40de1.jpg,5.6,800,400,11:09:35
+1.0,2012-03-08,2012-03-08 10:46:02,0,3,7b75c1401b879f45000459228eb7b262.jpg,5.6,800,400,10:46:02
+1.0,2012-04-03,2012-04-03 11:08:02,0,3,59d2d65d5f52a76ac21964e64f21f7a8.jpg,5.6,800,400,11:08:02
+1.0,2012-03-06,2012-03-06 13:29:20,0,3,2857a0826fbd5e7ff4fd21db97b7869d.jpg,5.6,800,400,13:29:20
+1.0,2012-03-08,2012-03-08 10:44:00,0,3,e6ba37179417e41a9f6e8104ef4aa458.jpg,5.6,800,400,10:44:00
+1.0,2012-03-06,2012-03-06 13:28:25,0,3,7e02804ab7496d27a8e9ef287fac38bc.jpg,5.6,800,400,13:28:25
+1.0,2013-02-19,2013-02-19 16:21:39,1,1,a49abe113a15aa3bc63abfbc2e4bf885.jpg,5.6,800,500,16:21:39
+1.0,2013-01-29,2013-01-29 12:10:20,1,1,fd182c05c1441459fa3c7b809cc91ad4.jpg,5.6,800,100,12:10:20
+1.0,2013-02-26,2013-02-26 12:04:52,1,1,4637cc21ed9cdd04377ae3a3366c4077.jpg,5.6,800,160,12:04:52
+1.0,2012-04-03,2012-04-03 11:12:12,0,3,658abb6e65044d101adb6f966372cf82.jpg,5.6,800,400,11:12:12
+1.0,2013-02-13,2013-02-13 13:01:23,1,1,325e71b987490e8dfcb7414d977fd8b5.jpg,5.6,800,100,13:01:23
+1.0,2012-04-03,2012-04-03 09:37:46,0,3,94878bd5342afb561f83dd5fe97c293f.jpg,5.6,800,400,09:37:46
+1.0,2012-04-03,2012-04-03 11:13:17,0,3,f9d3ef95edf741e001309b41c55ed91d.jpg,5.6,800,400,11:13:17
+1.0,2013-02-26,2013-02-26 12:19:43,1,1,5d70906b8b008330a649fdda04dd1cac.jpg,5.6,800,200,12:19:43
+1.0,2013-01-29,2013-01-29 16:34:52,1,1,3a1985f837cf0745b4c2cf97e93b32f7.jpg,5.6,800,500,16:34:52
+1.0,2013-01-29,2013-01-29 12:30:56,1,1,a70a8ae6bdd3f106fffba4486402c6cb.jpg,5.6,800,100,12:30:56
+1.0,2012-03-22,2012-03-22 11:10:42,0,3,f988f81fa3e83f69d40ff2ca07283bcc.jpg,5.6,800,400,11:10:42
+1.0,2012-03-08,2012-03-08 10:45:23,0,3,2c8b3012d2a7ed60c35d764fd400efb3.jpg,5.6,800,400,10:45:23
+1.0,2013-02-13,2013-02-13 13:30:17,1,1,3d9258f56e4922d92bba16c3028756ee.jpg,5.6,800,125,13:30:17
+1.0,2012-03-08,2012-03-08 15:00:56,0,3,2ce123b43da653e8764cf789a9d00d65.jpg,5.6,800,400,15:00:56
+1.0,2012-03-20,2012-03-20 09:44:51,0,3,8ad04bb57c8d7189a4b130a8d72632b1.jpg,5.6,800,400,09:44:51
+1.0,2013-02-20,2013-02-20 12:13:33,1,1,c232cf0bae2871a617621fac0b7eb602.jpg,5.6,800,160,12:13:33
+1.0,2013-02-26,2013-02-26 12:44:13,1,1,d99c7eb82be20d2cfb43662c82a9bb03.jpg,5.6,800,200,12:44:13
+1.0,2013-01-29,2013-01-29 16:22:06,1,1,4d175968f651735114e36006428c5d3b.jpg,5.6,800,500,16:22:06
+1.0,2013-02-20,2013-02-20 12:05:54,1,1,afe94ad5637a22f6f295640ced08da48.jpg,5.6,800,160,12:05:54
+1.0,2012-04-24,2012-04-24 09:39:55,0,3,ea70e07e63d0f3c9f094cd11786022d9.jpg,5.6,800,400,09:39:55
+1.0,2013-01-29,2013-01-29 12:14:21,1,1,5fac1b6948075b4e8b765aa6371c029b.jpg,5.6,800,100,12:14:21
+1.0,2012-03-20,2012-03-20 11:08:20,0,3,2d5ed88b29e359cbd3e1c80503c144b1.jpg,5.6,800,400,11:08:20
+1.0,2012-02-23,2012-02-23 14:58:36,0,3,e1b90d5f82400182c1f489b6338833e7.jpg,5.6,800,400,14:58:36
+1.0,2013-02-13,2013-02-13 12:59:01,1,1,4a50cdd4dac0c7f2085a6763270f79b7.jpg,5.6,800,100,12:59:01
+1.0,2012-03-13,2012-03-13 11:09:05,0,3,e46ec29e0842964758dbccf94ff4ed35.jpg,5.6,800,400,11:09:05
+1.0,2013-02-19,2013-02-19 16:32:23,1,1,aa3e116b0a13590ca692365be395f340.jpg,5.6,800,320,16:32:23
+1.0,2013-02-13,2013-02-13 13:00:10,1,1,4becad839d5ca272857f60c79e51e67f.jpg,5.6,800,100,13:00:10
+1.0,2013-01-29,2013-01-29 16:22:14,1,1,7d4cd411e12fce97bef62750ddaddba4.jpg,5.6,800,250,16:22:14
+1.0,2012-03-20,2012-03-20 09:46:00,0,3,0a7082ce03dea0e4505c2e94d620243d.jpg,5.6,800,400,09:46:00
+1.0,2013-01-29,2013-01-29 16:34:26,1,1,2c1bca44bb9a62f256362518c5865862.jpg,5.6,800,640,16:34:26
+1.0,2012-03-20,2012-03-20 13:56:10,0,3,a25314f55447cf68aa719c33957c71bd.jpg,5.6,800,400,13:56:10
+1.0,2013-01-28,2013-01-28 12:34:19,1,1,0308f539f0e4529bdf60bb32b26ecb03.jpg,5.6,800,100,12:34:19
+1.0,2012-04-03,2012-04-03 09:43:56,0,3,e8204e3097bf2e4828abdc0c9817560b.jpg,5.6,800,400,09:43:56
+1.0,2012-03-20,2012-03-20 11:04:20,0,3,49ca52535685d5e08f9fc280965ef179.jpg,5.6,800,400,11:04:20
+1.0,2013-01-28,2013-01-28 12:37:55,1,1,423421c1228f8f19c31bf5d1e74f11a4.jpg,5.6,800,100,12:37:55
+1.0,2012-03-20,2012-03-20 13:58:36,0,3,8fad2e74298016a381db6c034272c4d7.jpg,5.6,800,400,13:58:36
+1.0,2013-01-29,2013-01-29 16:25:54,1,1,6d490d58d4c1ab990896816ae9bb665d.jpg,5.6,800,320,16:25:54
+1.0,2013-01-29,2013-01-29 12:15:05,1,1,20adc81a184fd212371574502de0ad45.jpg,5.6,800,100,12:15:05
+1.0,2013-02-26,2013-02-26 12:10:27,1,1,9da82ef11b44da6a26a3775e85883c6d.jpg,5.6,800,200,12:10:27
+1.0,2013-01-29,2013-01-29 16:34:04,1,1,6ef489c9ceb6f3045d62ea2fb955dfea.jpg,5.6,800,640,16:34:04
+1.0,2012-04-03,2012-04-03 09:35:26,0,3,d60c757362bfd0a3e2acdbcb09cfa909.jpg,5.6,800,400,09:35:26
+1.0,2013-02-20,2013-02-20 12:28:54,1,1,b0e3d9b607bea166b7a9770854f33bda.jpg,5.6,800,100,12:28:54
+1.0,2012-03-20,2012-03-20 11:05:46,0,3,f5798b72cc055768f3fb1a7b7c59f8e1.jpg,5.6,800,400,11:05:46
+1.0,2013-02-26,2013-02-26 12:16:08,1,1,25362453b114f9e00ee8791c33bc6c19.jpg,5.6,800,160,12:16:08
+1.0,2012-03-20,2012-03-20 12:34:42,0,3,36522934eecf22bd90f4e7180a4ab43a.jpg,5.6,800,400,12:34:42
+1.0,2013-01-29,2013-01-29 12:12:40,1,1,24118f6ec5c9837a1319e68b47db904a.jpg,5.6,800,100,12:12:40
+1.0,2013-01-28,2013-01-28 12:37:41,1,1,c5fbb5aea1dc035d64f4c229f357faf5.jpg,5.6,800,100,12:37:41
+1.0,2012-03-13,2012-03-13 11:11:32,0,3,b4dffe6f30fa161f5678f47c7d706051.jpg,5.6,800,400,11:11:32
+1.0,2013-02-20,2013-02-20 12:20:18,1,1,0c4138af383e8bd28cde5aeef2ff0171.jpg,5.6,800,100,12:20:18
+1.0,2013-01-29,2013-01-29 16:33:15,1,1,2e09c57b149f52d4062ae3cb9ae34fce.jpg,5.6,800,320,16:33:15
+1.0,2013-02-19,2013-02-19 16:16:01,1,1,a8aa6c3becbae66e4cfa9c473ecbc981.jpg,5.6,800,320,16:16:01
+1.0,2013-02-20,2013-02-20 12:25:52,1,1,a9052e42630a4320c3000e61697d8f13.jpg,5.6,800,100,12:25:52
+1.0,2012-03-20,2012-03-20 13:56:32,0,3,a97080caad79497f26a9d534eb53a345.jpg,5.6,800,400,13:56:32
+1.0,2012-03-22,2012-03-22 11:03:57,0,3,54c17dc3ea897f96516e17d7472eae8f.jpg,5.6,800,400,11:03:57
+1.0,2012-03-20,2012-03-20 11:06:33,0,3,1edcf8b217b2d53082682cbe45355e1c.jpg,5.6,800,400,11:06:33
+1.0,2012-03-20,2012-03-20 09:47:31,0,3,2425460b53e00ce5599e1553229c35ad.jpg,5.6,800,400,09:47:31
+1.0,2013-02-19,2013-02-19 16:23:36,1,1,5acd919d8c042a0322a937fe9dd3a783.jpg,5.6,800,320,16:23:36
+1.0,2013-01-29,2013-01-29 12:33:08,1,1,d80bf4a5cdb90fd311ab84f353677c1d.jpg,5.6,800,100,12:33:08
+1.0,2012-03-20,2012-03-20 09:46:26,0,3,6e54feafe4e2adea18459b85f85dc225.jpg,5.6,800,400,09:46:26
+1.0,2013-02-13,2013-02-13 13:17:59,1,1,c4e74d3e9a51253978bf61a687e54378.jpg,5.6,800,100,13:17:59
+1.0,2013-01-29,2013-01-29 12:34:27,1,1,6847b79a039af86632898b998aa4e5f8.jpg,5.6,800,100,12:34:27
+1.0,2013-02-19,2013-02-19 16:21:41,1,1,8d12d774fafc3435211f1b927762ab5d.jpg,5.6,800,400,16:21:41
+1.0,2013-02-20,2013-02-20 12:34:11,1,1,f5de2ff55a5c0e54eb7df3e92304189e.jpg,5.6,800,100,12:34:11
+1.0,2013-02-26,2013-02-26 12:05:26,1,1,c57ce3ffefe37442ceac2d906e40f483.jpg,5.6,800,160,12:05:26
+1.0,2013-02-13,2013-02-13 13:23:09,1,1,cc5191bca3172c5cc78177f23889ddbc.jpg,5.6,800,100,13:23:09
+1.0,2012-03-20,2012-03-20 12:31:37,0,3,ec0ff0d8e98cf3caa0de78ba61398c2f.jpg,5.6,800,400,12:31:37
+1.0,2013-02-13,2013-02-13 13:13:22,1,1,2ab5ded1a1f55bc35e69c8015c0528c0.jpg,5.6,800,100,13:13:22
+1.0,2013-01-29,2013-01-29 16:24:01,1,1,d2ab0547ec3e67f20931fc9033d5571a.jpg,5.6,800,500,16:24:01
+1.0,2013-02-20,2013-02-20 12:42:52,1,1,6022c5459070970bd6ea0d31232c9814.jpg,5.6,800,100,12:42:52
+1.0,2012-04-25,2012-04-25 11:01:44,0,3,7b1e2f69cf6a7058223955174fc3057e.jpg,5.6,800,400,11:01:44
+1.0,2013-02-19,2013-02-19 16:22:30,1,1,d906a1058517df998520ad4af8b91d02.jpg,5.6,800,400,16:22:30
+1.0,2013-01-28,2013-01-28 12:33:16,1,1,2659dd93a29ca9a0e881acc3f9bd199b.jpg,5.6,800,100,12:33:16
+1.0,2013-01-29,2013-01-29 16:30:05,1,1,2877d1aeafb5f32d09c35560b7b1c53c.jpg,5.6,800,400,16:30:05
+1.0,2012-03-22,2012-03-22 13:57:56,0,3,59b0a6f085296803b7f648c5e4a90bbb.jpg,5.6,800,400,13:57:56
+1.0,2012-03-06,2012-03-06 13:29:26,0,3,76315770f4bc823625aec51c3786723b.jpg,5.6,800,400,13:29:26
+1.0,2013-02-20,2013-02-20 12:13:58,1,1,2fe7b803123b9e298e862c244b9a1e28.jpg,5.6,800,125,12:13:58
+1.0,2013-02-13,2013-02-13 12:56:58,1,1,586766363be8d887a46fccd97014fac7.jpg,5.6,800,100,12:56:58
+1.0,2013-02-19,2013-02-19 16:34:33,1,1,a9afe3bdef8b23e0a43674a6a4be9e74.jpg,5.6,800,400,16:34:33
+1.0,2013-01-28,2013-01-28 12:42:46,1,1,60dace55f99957d6319506c6bc152f3b.jpg,5.6,800,100,12:42:46
+1.0,2012-03-08,2012-03-08 14:54:26,0,3,8148125362daa3a825026db2391a25d0.jpg,5.6,800,400,14:54:26
+1.0,2013-02-13,2013-02-13 13:27:30,1,1,e7c8af926569f543b1d920ea07a766c2.jpg,5.6,800,100,13:27:30
+1.0,2012-04-03,2012-04-03 09:37:27,0,3,43bdc99c32dca9428abdef8de452e26a.jpg,5.6,800,400,09:37:27
+1.0,2013-02-19,2013-02-19 16:28:48,1,1,be62c95abd09e1e268062cb429613469.jpg,5.6,800,320,16:28:48
+1.0,2012-03-20,2012-03-20 12:33:56,0,3,bdf7cb5e53c2f26bc16f36b3759c5871.jpg,5.6,800,400,12:33:56
+1.0,2013-02-19,2013-02-19 16:30:25,1,1,26ad67132466f5446d40074d8ead4027.jpg,5.6,800,320,16:30:25
+1.0,2013-02-13,2013-02-13 12:19:48,1,1,6793236f55edb38633bb54f7de9b17c1.jpg,5.6,800,100,12:19:48
+1.0,2013-01-28,2013-01-28 12:38:22,1,1,d556c6e5f73454e71b5695a88e17c941.jpg,5.6,800,100,12:38:22
+1.0,2012-04-03,2012-04-03 11:11:24,0,3,84ef1172af7535d3eeeb48a4670a695b.jpg,5.6,800,400,11:11:24
+1.0,2013-01-29,2013-01-29 12:08:52,1,1,8a118f6d2cf95955fc7daa0567bccc25.jpg,5.6,800,100,12:08:52
+1.0,2012-04-03,2012-04-03 09:35:15,0,3,9d8c3ec107b8866b297149c3205aa5f7.jpg,5.6,800,400,09:35:15
+1.0,2013-02-20,2013-02-20 12:09:28,1,1,0371637160e81d9c76af64bab9359cf2.jpg,5.6,800,200,12:09:28
+1.0,2013-01-28,2013-01-28 12:33:33,1,1,19b3dd4b017d325b2be2be75638a3df4.jpg,5.6,800,100,12:33:33
+1.0,2012-03-06,2012-03-06 13:30:12,0,3,6d63cda5fee2ebf5d6fa6ea8f689707a.jpg,5.6,800,400,13:30:12
+1.0,2013-01-29,2013-01-29 12:09:43,1,1,6bf43a5a758e9bce50801bf774db86f2.jpg,5.6,800,100,12:09:43
+1.0,2013-02-20,2013-02-20 12:19:41,1,1,edfd48ce03e799d2085e44b0dd36be4d.jpg,5.6,800,100,12:19:41
+1.0,2013-02-20,2013-02-20 12:06:23,1,1,4edda3c1570b2e71085638604b5a1923.jpg,5.6,800,200,12:06:23
+1.0,2012-03-22,2012-03-22 11:08:29,0,3,b1c246e2c58f45dee02b65ef2d8a383a.jpg,5.6,800,400,11:08:29
+1.0,2012-03-20,2012-03-20 15:22:20,0,3,fcc1db685593b03ea95535d1bcac35ce.jpg,5.6,800,400,15:22:20
+1.0,2012-04-03,2012-04-03 09:35:36,0,3,2fc19a77241ac1a0af7d89aba3a97ef6.jpg,5.6,800,400,09:35:36
+1.0,2013-02-13,2013-02-13 12:19:13,1,1,6da361cbe37685ab76906f2bb5c7b5c8.jpg,5.6,800,100,12:19:13
+1.0,2013-01-29,2013-01-29 16:25:25,1,1,45248aee9dfd9c09bfdece31c7828796.jpg,5.6,800,250,16:25:25
+1.0,2013-02-26,2013-02-26 12:11:15,1,1,12276bf03aef0a8b8c725eccb9e10f4d.jpg,5.6,800,200,12:11:15
+1.0,2012-03-20,2012-03-20 11:07:49,0,3,9a3b84ad1bb62f38af22dd621101082f.jpg,5.6,800,400,11:07:49
+1.0,2012-04-03,2012-04-03 11:12:36,0,3,18eaa25ed1b1c7f6e21567517a45d698.jpg,5.6,800,400,11:12:36
+1.0,2013-02-13,2013-02-13 12:15:43,1,1,d83607a357bfe696b938ca3cb06ed740.jpg,5.6,800,100,12:15:43
+1.0,2012-04-24,2012-04-24 09:39:22,0,3,73055ab3712c5356f1eaaada899246ad.jpg,5.6,800,400,09:39:22
+1.0,2012-04-03,2012-04-03 11:12:32,0,3,042394edb5fd4cc75f54ad2805edcbdc.jpg,5.6,800,400,11:12:32
+1.0,2013-02-13,2013-02-13 12:45:13,1,1,8da3170e47b761830573b76301058133.jpg,5.6,800,100,12:45:13
+1.0,2013-02-26,2013-02-26 12:14:45,1,1,b9f1d5e7e9f328d678f8a5b1e4c10d20.jpg,5.6,800,200,12:14:45
+1.0,2013-02-19,2013-02-19 16:33:10,1,1,3d0578457486bd8f7a156da39179558c.jpg,5.6,800,320,16:33:10
+1.0,2013-01-28,2013-01-28 12:34:05,1,1,a8d510dbfbd1faf90678b3a528a243cd.jpg,5.6,800,100,12:34:05
+1.0,2012-03-20,2012-03-20 12:31:35,0,3,1d6cccdf347cf4e80f1965c854c32de8.jpg,5.6,800,400,12:31:35
+1.0,2012-03-08,2012-03-08 10:46:27,0,3,7f07160ab3fc75ad6b76e999bad64952.jpg,5.6,800,400,10:46:27
+1.0,2012-04-03,2012-04-03 11:05:49,0,3,82053d1c112c328f10e6946391ea1ba8.jpg,5.6,800,400,11:05:49
+1.0,2012-03-20,2012-03-20 12:32:18,0,3,b9b2fbdb89363101d22100aa5015255b.jpg,5.6,800,400,12:32:18
+1.0,2012-03-20,2012-03-20 12:29:13,0,3,38a379da5d82bcf4168427c7e93b226c.jpg,5.6,800,400,12:29:13
+1.0,2012-04-03,2012-04-03 12:33:27,0,3,d2f91ddac3ce425e268a0e10543d799f.jpg,5.6,800,400,12:33:27
+1.0,2013-02-13,2013-02-13 13:20:32,1,1,38cbab3ff14b6d9ae774d0463ae2aa6f.jpg,5.6,800,100,13:20:32
+1.0,2013-02-26,2013-02-26 12:09:16,1,1,ca94a0577113eabdf041017a5e368198.jpg,5.6,800,200,12:09:16
+1.0,2012-03-22,2012-03-22 11:08:06,0,3,ccd284c44eac8e5201a33dd174ab90be.jpg,5.6,800,400,11:08:06
+1.0,2012-04-03,2012-04-03 12:36:36,0,3,1836020a22aab713a00161c0f3c5dbe6.jpg,5.6,800,400,12:36:36
+1.0,2012-03-20,2012-03-20 11:06:36,0,3,5a222ffa1642846dcc51e1558b3be2d1.jpg,5.6,800,400,11:06:36
+1.0,2013-01-29,2013-01-29 16:27:21,1,1,04f5454a897d7d80bdd7d0ceec56378f.jpg,5.6,800,320,16:27:21
+1.0,2013-02-19,2013-02-19 16:33:00,1,1,a0cee4f330ac29d842be1b6e36b5258d.jpg,5.6,800,500,16:33:00
+1.0,2013-01-28,2013-01-28 12:41:43,1,1,93cca5b348804329b6db13daf884c787.jpg,5.6,800,100,12:41:43
+1.0,2013-01-28,2013-01-28 12:38:27,1,1,5b890f6faa3d2125f06c2bb348ec254a.jpg,5.6,800,100,12:38:27
+1.0,2013-02-13,2013-02-13 12:15:29,1,1,4e4886c4486a412e0636d84159b050e8.jpg,5.6,800,100,12:15:29
+1.0,2013-01-29,2013-01-29 12:09:28,1,1,4078e91a420c531b60f6492b06bc4eb4.jpg,5.6,800,100,12:09:28
+1.0,2012-04-03,2012-04-03 11:09:59,0,3,fabcbebc194a1ac30431d8a5f51a7074.jpg,5.6,800,400,11:09:59
+1.0,2012-04-03,2012-04-03 11:05:05,0,3,f4aa04e76572fdb2b83555b260f9b0ae.jpg,5.6,800,400,11:05:05
+1.0,2013-02-20,2013-02-20 12:22:44,1,1,1c8dcfec4bcf35880d721fb8a5fc5504.jpg,5.6,800,100,12:22:44
+1.0,2013-01-29,2013-01-29 12:27:39,1,1,71668a48e41ada8173e0aca0042079c2.jpg,5.6,800,100,12:27:39
+1.0,2013-01-29,2013-01-29 12:09:38,1,1,b3efded3beeaff8f99944efb7b14d45d.jpg,5.6,800,100,12:09:38
+1.0,2013-01-28,2013-01-28 12:41:42,1,1,702dd472f3ee76fb8891e124c56ef937.jpg,5.6,800,100,12:41:42
+1.0,2012-03-20,2012-03-20 11:07:06,0,3,d9faeb84dd795f00647c41533de6aa6f.jpg,5.6,800,400,11:07:06
+1.0,2012-03-20,2012-03-20 12:34:33,0,3,fc04d52586dc52f25670b37488cf1036.jpg,5.6,800,400,12:34:33
+1.0,2012-03-13,2012-03-13 11:11:30,0,3,5daa55d0c3afaad626320ba93eae5ce8.jpg,5.6,800,400,11:11:30
+1.0,2013-01-28,2013-01-28 12:34:15,1,1,81092537f91442463c6f93e6b38d7042.jpg,5.6,800,100,12:34:15
+1.0,2012-03-20,2012-03-20 13:57:23,0,3,1d85b355959b56b772fb75e31eae74c3.jpg,5.6,800,400,13:57:23
+1.0,2012-04-03,2012-04-03 11:06:55,0,3,7f787b9ad29fcea4dabd70eea8a8682b.jpg,5.6,800,400,11:06:55
+1.0,2013-01-28,2013-01-28 12:38:26,1,1,f466db43981afa8172f43ca5d84bf66e.jpg,5.6,800,100,12:38:26
+1.0,2012-03-20,2012-03-20 12:30:27,0,3,2db7906850daf3dd445a42fbcd0027f4.jpg,5.6,800,400,12:30:27
+1.0,2013-01-28,2013-01-28 12:34:00,1,1,ce5ebb4ff4a5ab2902a5131268a7aeb7.jpg,5.6,800,100,12:34:00
+1.0,2012-04-03,2012-04-03 11:10:36,0,3,5565adc885d4c7601ae2528a18d0e14b.jpg,5.6,800,400,11:10:36
+1.0,2013-01-28,2013-01-28 12:40:07,1,1,0a55c2494497fb24c8b753a27a5a3d53.jpg,5.6,800,100,12:40:07
+1.0,2012-03-22,2012-03-22 14:00:15,0,3,936ae906f2e3260beccecff731eeb35e.jpg,5.6,800,400,14:00:15
+1.0,2012-03-20,2012-03-20 15:22:57,0,3,307502d143ca872f7816496275038db6.jpg,5.6,800,400,15:22:57
+1.0,2012-02-23,2012-02-23 14:58:17,0,3,2b8629e8a3f7582062eb0cc64df83c55.jpg,5.6,800,400,14:58:17
+1.0,2013-01-29,2013-01-29 12:10:43,1,1,1527fbfdbc673a2caf8d601afb49ad46.jpg,5.6,800,100,12:10:43
+1.0,2013-02-13,2013-02-13 12:17:00,1,1,0029791ed650e8de3cf58a150023398f.jpg,5.6,800,100,12:17:00
+1.0,2012-03-13,2012-03-13 11:09:38,0,3,926eec5b7621ebf1ae3b8e0cbcd2299c.jpg,5.6,800,400,11:09:38
+1.0,2012-03-08,2012-03-08 15:01:05,0,3,269e58631ad94cfda2740021b962c555.jpg,5.6,800,400,15:01:05
+1.0,2013-02-26,2013-02-26 12:17:22,1,1,77a63bdc3d0685ee4b84d272975660a1.jpg,5.6,800,200,12:17:22
+1.0,2013-01-29,2013-01-29 12:33:47,1,1,d9916342e0afd2ebb7e439b2de483cec.jpg,5.6,800,100,12:33:47
+1.0,2013-01-28,2013-01-28 12:40:28,1,1,5c161a7eafe58685254502af62ee83a2.jpg,5.6,800,100,12:40:28
+1.0,2012-04-03,2012-04-03 11:06:22,0,3,32f65feb9b9b3c70cc1f801de12f2177.jpg,5.6,800,400,11:06:22
+1.0,2013-01-29,2013-01-29 16:30:37,1,1,8d9431458e2e8db18387b573a5b86f17.jpg,5.6,800,640,16:30:37
+1.0,2013-02-13,2013-02-13 12:14:14,1,1,be4036ec0aea9c077906f1665e6dfd92.jpg,5.6,800,100,12:14:14
+1.0,2013-02-19,2013-02-19 16:26:29,1,1,63cd874af1a7d0db3bfb78d87e6876d4.jpg,5.6,800,320,16:26:29
+1.0,2012-03-20,2012-03-20 12:35:12,0,3,d44713f6063ed4cf9cdad9082d79201c.jpg,5.6,800,400,12:35:12
+1.0,2013-01-29,2013-01-29 12:09:35,1,1,0d0c786d97232b08972eef8e24d6451a.jpg,5.6,800,100,12:09:35
+1.0,2013-01-28,2013-01-28 12:41:21,1,1,2e48c189d688e00de605f86fcb3c8dc3.jpg,5.6,800,100,12:41:21
+1.0,2013-02-13,2013-02-13 12:18:04,1,1,bbafd10b8de448303afebb2d52f5089e.jpg,5.6,800,100,12:18:04
+1.0,2012-03-20,2012-03-20 11:07:22,0,3,adcf92921527430d2a35cdbe603f285e.jpg,5.6,800,400,11:07:22
+1.0,2012-03-08,2012-03-08 12:10:12,0,3,8e561ff43cd5763797cb9f44dae54cd3.jpg,5.6,800,400,12:10:12
+1.0,2012-03-08,2012-03-08 14:57:20,0,3,8e4dab1eeeba5dc15390b19fa10f6f4c.jpg,5.6,800,400,14:57:20
+1.0,2012-03-20,2012-03-20 13:55:53,0,3,ef191ef774296f7c873abf37142af110.jpg,5.6,800,400,13:55:53
+1.0,2012-03-08,2012-03-08 14:57:22,0,3,d0c38bc54353e01e1a494cebc7acd643.jpg,5.6,800,400,14:57:22
+1.0,2013-02-13,2013-02-13 12:15:57,1,1,47c082e312b008a955977a0766eff252.jpg,5.6,800,100,12:15:57
+1.0,2013-02-13,2013-02-13 12:34:13,1,1,8dfe72aef14a5c9a56b48f356caaddb0.jpg,5.6,800,100,12:34:13
+1.0,2013-01-29,2013-01-29 12:31:25,1,1,cc1b6b3937cfbef9ce32dd8a58e7ec9d.jpg,5.6,800,100,12:31:25
+1.0,2012-03-20,2012-03-20 15:23:00,0,3,33cc4260e86a63a392e8ecae4a9b8536.jpg,5.6,800,400,15:23:00
+1.0,2013-02-26,2013-02-26 12:04:55,1,1,9707241b9c4fbf3f400a1281640916f3.jpg,5.6,800,160,12:04:55
+1.0,2012-03-20,2012-03-20 11:06:22,0,3,054120482810e52568aee6c63fbc0d3a.jpg,5.6,800,400,11:06:22
+1.0,2013-02-19,2013-02-19 16:22:56,1,1,b9fb29242139c71fca83f34d7c37ae21.jpg,5.6,800,320,16:22:56
+1.0,2013-01-29,2013-01-29 16:33:51,1,1,f291c9e25f9dd7b6a8830720d277733e.jpg,5.6,800,640,16:33:51
+1.0,2013-02-20,2013-02-20 12:04:37,1,1,5a2a0add631cdf2bda92b7941bf2148b.jpg,5.6,800,160,12:04:37
+1.0,2013-01-29,2013-01-29 16:27:55,1,1,b83928ef22b1e9c41a566520d19acfe6.jpg,5.6,800,320,16:27:55
+1.0,2013-02-20,2013-02-20 12:05:19,1,1,f1b409e5ca5753eea37e085aaa0a29ea.jpg,5.6,800,200,12:05:19
+1.0,2012-02-23,2012-02-23 14:56:56,0,3,555483efc92f8d270a2ae48a56177e85.jpg,5.6,800,400,14:56:56
+1.0,2013-01-29,2013-01-29 16:31:27,1,1,b6476426003a983500e79ab11a9183d7.jpg,5.6,800,320,16:31:27
+1.0,2012-03-20,2012-03-20 15:22:23,0,3,d8a06c68d47c0674cd47534e74c4e3cd.jpg,5.6,800,400,15:22:23
+1.0,2012-02-23,2012-02-23 14:56:14,0,3,c93be411afbad4a7715cc81485f11013.jpg,5.6,800,400,14:56:14
+1.0,2013-02-20,2013-02-20 12:43:22,1,1,90de316a815b6cd1bf455d4618a9068f.jpg,5.6,800,100,12:43:22
+1.0,2013-02-26,2013-02-26 12:35:48,1,1,d98d3f8413c8dacf4dbb4db6ebdad63c.jpg,5.6,800,200,12:35:48
+1.0,2012-03-20,2012-03-20 12:31:59,0,3,aa23357caab212e230d55d300aebf0cf.jpg,5.6,800,400,12:31:59
+1.0,2012-03-20,2012-03-20 12:32:10,0,3,611a1d7fc71eb244af84219902c21e89.jpg,5.6,800,400,12:32:10
+1.0,2013-01-29,2013-01-29 12:31:38,1,1,4085a5c1f7253b1c387307bd8fe57b23.jpg,5.6,800,100,12:31:38
+1.0,2013-02-19,2013-02-19 16:14:38,1,1,c5a7efc228cc6628e16daca1a380ca22.jpg,5.6,800,320,16:14:38
+1.0,2013-01-28,2013-01-28 12:37:16,1,1,944f2f3145422f634676a176ca742ca4.jpg,5.6,800,100,12:37:16
+1.0,2013-02-20,2013-02-20 12:02:21,1,1,57f257174a7a3fea67562f40b33882d1.jpg,5.6,800,160,12:02:21
+1.0,2012-04-03,2012-04-03 11:07:52,0,3,ca70d1bb4b3222cf9c593b6b7a707974.jpg,5.6,800,400,11:07:52
+1.0,2012-03-20,2012-03-20 11:08:41,0,3,8fc3ccd9b78f843fff940a0819556952.jpg,5.6,800,400,11:08:41
+1.0,2012-04-03,2012-04-03 11:07:58,0,3,6d8815f32dd85dadc00622ccd533f3b4.jpg,5.6,800,400,11:07:58
+1.0,2013-02-20,2013-02-20 12:07:32,1,1,086a5dc289e92a8f30bef76956141090.jpg,5.6,800,200,12:07:32
+1.0,2013-02-19,2013-02-19 16:31:07,1,1,16359c06948978d44bcffcda7f859a14.jpg,5.6,800,400,16:31:07
+1.0,2013-02-13,2013-02-13 13:16:03,1,1,663cc78cfca2846105c869a7538eaf04.jpg,5.6,800,100,13:16:03
+1.0,2012-02-23,2012-02-23 14:56:49,0,3,2b43c28270c0cfeb7dd3aa3f36152fa3.jpg,5.6,800,400,14:56:49
+1.0,2012-03-20,2012-03-20 15:23:57,0,3,563f6fa1dca7f76c8aea18a156e4e277.jpg,5.6,800,400,15:23:57
+1.0,2012-03-20,2012-03-20 12:33:04,0,3,5deb35c5c1fcdfde0e6b574a13725874.jpg,5.6,800,400,12:33:04
+1.0,2013-01-29,2013-01-29 16:24:28,1,1,d4a9721a9f5b0f042d0f8762085d019c.jpg,5.6,800,320,16:24:28
+1.0,2013-01-28,2013-01-28 12:33:05,1,1,0112fc2959ce851ec67d95f15fb76556.jpg,5.6,800,100,12:33:05
+1.0,2013-02-20,2013-02-20 12:25:32,1,1,1f1a1f2e19cd44ab19983951eefb2122.jpg,5.6,800,100,12:25:32
+1.0,2013-01-28,2013-01-28 12:42:12,1,1,d8281330678a44dafb23633ba13aa05f.jpg,5.6,800,100,12:42:12
+1.0,2012-04-03,2012-04-03 09:36:48,0,3,bda3d4287dd93069469e28fa5030d367.jpg,5.6,800,400,09:36:48
+1.0,2013-02-19,2013-02-19 16:24:49,1,1,f8bb995623e5984dab5ac9f8621f3627.jpg,5.6,800,400,16:24:49
+1.0,2012-03-20,2012-03-20 15:23:13,0,3,283cbba9f07fa84494d9466e6276773a.jpg,5.6,800,400,15:23:13
+1.0,2012-03-22,2012-03-22 11:06:39,0,3,5e641fc2559399bcccc724685c756f70.jpg,5.6,800,400,11:06:39
+1.0,2012-03-20,2012-03-20 15:22:24,0,3,bd47ba96c0bc06239c25980fd1a93375.jpg,5.6,800,400,15:22:24
+1.0,2013-02-19,2013-02-19 16:19:37,1,1,21ff5d6c1c17aa931d660eb6c0eededd.jpg,5.6,800,320,16:19:37
+1.0,2012-03-20,2012-03-20 15:22:52,0,3,dca9c51e21e4ede4bbba121495c6aa00.jpg,5.6,800,400,15:22:52
+1.0,2012-03-20,2012-03-20 09:41:32,0,3,0dc1012d6c8834ca91ffa0d1eeb87938.jpg,5.6,800,400,09:41:32
+1.0,2012-03-20,2012-03-20 15:25:03,0,3,36a11b2aae7f1e9b45b7cd70e1f28a26.jpg,5.6,800,400,15:25:03
+1.0,2012-03-20,2012-03-20 11:08:46,0,3,09f51819403201ccb31aa76a4f27a68f.jpg,5.6,800,400,11:08:46
+1.0,2012-04-03,2012-04-03 11:07:08,0,3,da1527b19bab1b1400c1a253ea149be3.jpg,5.6,800,400,11:07:08
+1.0,2012-04-03,2012-04-03 11:07:53,0,3,d7c5e548be251179ea476e8d5d090684.jpg,5.6,800,400,11:07:53
+1.0,2013-02-20,2013-02-20 12:04:47,1,1,2bce257f0e5a2648227eb0997bec2f3b.jpg,5.6,800,160,12:04:47
+1.0,2013-02-20,2013-02-20 12:24:42,1,1,c5b6348c3f9f0517510cad5419ffb6af.jpg,5.6,800,100,12:24:42
+1.0,2012-03-06,2012-03-06 13:27:35,0,3,7ea88513275c4a4a4308ee4eeeeb0cf7.jpg,5.6,800,400,13:27:35
+1.0,2013-01-29,2013-01-29 16:34:13,1,1,07071449c9170efacd8868bb4f0611f9.jpg,5.6,800,400,16:34:13
+1.0,2012-04-03,2012-04-03 11:12:40,0,3,03feadc650ab1fb25b103ec3e3b1fb64.jpg,5.6,800,400,11:12:40
+1.0,2012-03-20,2012-03-20 12:28:26,0,3,fc404375dba5ad3395ef12226666827d.jpg,5.6,800,400,12:28:26
+1.0,2013-02-13,2013-02-13 13:00:52,1,1,c9c264aef76f01f5f6ce66e0ba8c9899.jpg,5.6,800,100,13:00:52
+1.0,2013-02-13,2013-02-13 12:05:13,1,1,063d039678d944bb411154880544a9ce.jpg,5.6,800,100,12:05:13
+1.0,2012-04-03,2012-04-03 11:10:53,0,3,df0c969ecd5f8f944a499fa97ca60512.jpg,5.6,800,400,11:10:53
+1.0,2012-03-20,2012-03-20 12:32:47,0,3,f6dbefb5b4a410d8dd75a7217252d5cf.jpg,5.6,800,400,12:32:47
+1.0,2013-01-29,2013-01-29 12:10:52,1,1,bf2e2f99af0b09086a5eb514f6a47805.jpg,5.6,800,100,12:10:52
+1.0,2012-03-08,2012-03-08 12:10:21,0,3,9a6f35ceaa9c6835d06c685a786b2cde.jpg,5.6,800,400,12:10:21
+1.0,2012-03-20,2012-03-20 12:35:12,0,3,a20544945a103a9dd9933e298312a98b.jpg,5.6,800,400,12:35:12
+1.0,2013-02-26,2013-02-26 12:33:03,1,1,e5d7c43a919b929ab1e406bfa788b75b.jpg,5.6,800,200,12:33:03
+1.0,2012-03-22,2012-03-22 11:09:52,0,3,d4ac5900266e12c92f1e4007610cc744.jpg,5.6,800,400,11:09:52
+1.0,2013-02-13,2013-02-13 12:13:54,1,1,01763401938b9752d4f264cbff493795.jpg,5.6,800,100,12:13:54
+1.0,2012-02-23,2012-02-23 14:56:46,0,3,ece661bc3c2888ffabf043d0ee26b449.jpg,5.6,800,400,14:56:46
+1.0,2013-01-29,2013-01-29 12:19:15,1,1,0fb16c2b22e72e3b22469d74dfcd5a5e.jpg,5.6,800,100,12:19:15
+1.0,2012-03-20,2012-03-20 13:58:50,0,3,a41828f5543cbeb74d99d858af6aabe0.jpg,5.6,800,400,13:58:50
+1.0,2012-03-08,2012-03-08 14:58:10,0,3,ff6e1c6cdc553a8c8324894e01ed6c56.jpg,5.6,800,400,14:58:10
+1.0,2012-03-20,2012-03-20 12:29:57,0,3,ce997dcd2d2aa3201207fcb613c8cc2c.jpg,5.6,800,400,12:29:57
+1.0,2012-03-06,2012-03-06 13:32:44,0,3,bb6bb0cce1800012ffdd9ca9bf7d272d.jpg,5.6,800,400,13:32:44
+1.0,2012-03-20,2012-03-20 11:08:23,0,3,06421b407abfe4e705e71e32c02f3e43.jpg,5.6,800,400,11:08:23
+1.0,2012-03-13,2012-03-13 11:08:56,0,3,9114a3dfae242e93ac6e00e3c9c6e812.jpg,5.6,800,400,11:08:56
+1.0,2013-01-28,2013-01-28 12:40:06,1,1,83b26317e0d7f0ab2752a5293fd13f84.jpg,5.6,800,100,12:40:06
+1.0,2012-03-20,2012-03-20 12:28:39,0,3,966522ccd218b5bb3261112a79656e1d.jpg,5.6,800,400,12:28:39
+1.0,2012-04-03,2012-04-03 09:36:30,0,3,ae1f2b0a7d17bef2eb9d07326437bf06.jpg,5.6,800,400,09:36:30
+1.0,2013-01-29,2013-01-29 16:32:28,1,1,3c93b8515f04973147dc06e7db2ef803.jpg,5.6,800,640,16:32:28
+1.0,2012-04-03,2012-04-03 09:35:06,0,3,9c1eedeb95422fcf25198cea74898708.jpg,5.6,800,400,09:35:06
+1.0,2012-04-03,2012-04-03 12:34:16,0,3,1525453b5e1a7a100776c2c3526a7e58.jpg,5.6,800,400,12:34:16
+1.0,2013-02-26,2013-02-26 12:23:37,1,1,62a364f698f904111181150db796e64b.jpg,5.6,800,200,12:23:37
+1.0,2013-02-26,2013-02-26 12:11:08,1,1,bccbc8c6d00d8233327ab494a1a0f30f.jpg,5.6,800,200,12:11:08
+1.0,2012-03-20,2012-03-20 12:33:53,0,3,a1bd0b212a6c217b3538ace300838213.jpg,5.6,800,400,12:33:53
+1.0,2013-01-29,2013-01-29 16:32:26,1,1,f3f2e8492ab0b1ab1926a773d1df939c.jpg,5.6,800,500,16:32:26
+1.0,2013-02-20,2013-02-20 12:13:26,1,1,b6c8a678db5584aa461d27eaeb55b39f.jpg,5.6,800,160,12:13:26
+1.0,2012-03-20,2012-03-20 12:35:17,0,3,8084cdd4a9af064ba4d54e97cd7cc37e.jpg,5.6,800,400,12:35:17
+1.0,2013-01-29,2013-01-29 12:31:14,1,1,e0b824b8b384af109b02fe549a3103ac.jpg,5.6,800,100,12:31:14
+1.0,2013-02-20,2013-02-20 12:19:43,1,1,8b7c2ad5b2482e434a2245dfeed36b49.jpg,5.6,800,100,12:19:43
+1.0,2013-02-13,2013-02-13 12:42:27,1,1,9570565e80dd26fcbd1fa5ed1f3acb56.jpg,5.6,800,100,12:42:27
+1.0,2012-03-08,2012-03-08 14:54:26,0,3,bad6a4f1a2a94aa092257c0eddb98be0.jpg,5.6,800,400,14:54:26
+1.0,2013-02-20,2013-02-20 12:06:47,1,1,70914953b475fdf1013dd5b70e8e72c5.jpg,5.6,800,160,12:06:47
+1.0,2013-02-13,2013-02-13 13:08:27,1,1,1fae2724d581432a824cc619fb5f4d73.jpg,5.6,800,100,13:08:27
+1.0,2013-01-28,2013-01-28 12:33:16,1,1,b0a2d22f760d562145bd67bb3cb9f9aa.jpg,5.6,800,100,12:33:16
+1.0,2013-01-29,2013-01-29 16:34:02,1,1,68398e8dff6bf3152ae84fbac838b618.jpg,5.6,800,400,16:34:02
+1.0,2012-04-03,2012-04-03 11:04:51,0,3,bbcee8423f6e86bdc6c0fceb54de0d2a.jpg,5.6,800,400,11:04:51
+1.0,2012-04-03,2012-04-03 09:41:05,0,3,f626b49d891aaeed599e7e4a11720a64.jpg,5.6,800,400,09:41:05
+1.0,2012-04-03,2012-04-03 11:06:31,0,3,035917952220ad35a0ab0db3244c2a86.jpg,5.6,800,400,11:06:31
+1.0,2013-02-26,2013-02-26 12:28:41,1,1,26384797d0530f67d1ba2950956ef034.jpg,5.6,800,250,12:28:41
+1.0,2012-03-20,2012-03-20 12:29:58,0,3,bd3b06f90b909c08bd954639b6e3921b.jpg,5.6,800,400,12:29:58
+1.0,2012-03-22,2012-03-22 11:08:48,0,3,7589aca804266f0d5ec185eb20912303.jpg,5.6,800,400,11:08:48
+1.0,2012-04-03,2012-04-03 11:08:16,0,3,3661f9939306a2ce4cb746d31bba0b64.jpg,5.6,800,400,11:08:16
+1.0,2013-01-28,2013-01-28 12:33:13,1,1,880e8decb2ec059a9e903c692ca28984.jpg,5.6,800,100,12:33:13
+1.0,2012-04-03,2012-04-03 11:07:46,0,3,480b4bb7dfa94d2526e0d13246349c2a.jpg,5.6,800,400,11:07:46
+1.0,2012-03-20,2012-03-20 13:58:51,0,3,583e77f11fe6fee0bc80a1e865c4c601.jpg,5.6,800,400,13:58:51
+1.0,2012-03-08,2012-03-08 12:11:14,0,3,b769d64041c13f6cfe9f552c0f6250a2.jpg,5.6,800,400,12:11:14
+1.0,2013-01-29,2013-01-29 12:11:44,1,1,91a88d8efbb325881480df5beab8f9cb.jpg,5.6,800,100,12:11:44
+1.0,2013-02-13,2013-02-13 12:17:42,1,1,7f77b37dc82037a283f9b6e7298d1b78.jpg,5.6,800,100,12:17:42
+1.0,2013-02-26,2013-02-26 12:08:50,1,1,d9bb7053141f3bcb621ef349a188dc50.jpg,5.6,800,200,12:08:50
+1.0,2012-03-20,2012-03-20 09:45:15,0,3,645a87d7128f40b52650cb93b1412f39.jpg,5.6,800,400,09:45:15
+1.0,2013-01-29,2013-01-29 12:10:28,1,1,1934ef9a01d4da37c5b2a1c035fcbf5c.jpg,5.6,800,100,12:10:28
+1.0,2013-02-19,2013-02-19 16:17:45,1,1,003e5ac87f021ed99108973d87c3a26f.jpg,5.6,800,320,16:17:45
+1.0,2012-03-22,2012-03-22 14:00:15,0,3,516bcd6e127f7f522cd5d60bf5a0b094.jpg,5.6,800,400,14:00:15
+1.0,2012-03-13,2012-03-13 11:11:17,0,3,8b828a0d685fb52f7e1a6078a3f8135b.jpg,5.6,800,400,11:11:17
+1.0,2013-02-19,2013-02-19 16:19:37,1,1,26f41a3a291a5eaa03d15b7679ff88bf.jpg,5.6,800,320,16:19:37
+1.0,2012-02-23,2012-02-23 14:54:42,0,3,c804b36c99e4550704e295e78bb457f1.jpg,5.6,800,400,14:54:42
+1.0,2013-02-20,2013-02-20 12:20:15,1,1,6bb3a6e9fb229e64ce5022a3d66349d3.jpg,5.6,800,100,12:20:15
+1.0,2012-03-20,2012-03-20 15:24:23,0,3,8201a904cbfa8d2520fd7a7fa339ac85.jpg,5.6,800,400,15:24:23
+1.0,2013-01-29,2013-01-29 12:31:44,1,1,6d911c1f0815de1db85d306e96ae0251.jpg,5.6,800,100,12:31:44
+1.0,2013-02-20,2013-02-20 12:02:26,1,1,f76f6cc53a4b80530f422446a7d9b011.jpg,5.6,800,160,12:02:26
+1.0,2012-04-03,2012-04-03 11:07:54,0,3,ea3a159cd3129ed3330a4f054e507d77.jpg,5.6,800,400,11:07:54
+1.0,2012-04-24,2012-04-24 09:41:41,0,3,40b5b68c82501e6a6e94ac0a30f9bbaf.jpg,5.6,800,400,09:41:41
+1.0,2012-04-03,2012-04-03 12:32:40,0,3,8e82c22e87a37e4e6e857b3312a71088.jpg,5.6,800,400,12:32:40
+1.0,2013-01-28,2013-01-28 12:38:40,1,1,ca993d6d2311b217f2123ac1df869bd8.jpg,5.6,800,100,12:38:40
+1.0,2012-04-03,2012-04-03 11:06:57,0,3,5892aaea6dc693ecc512aeeaf455657a.jpg,5.6,800,400,11:06:57
+1.0,2012-04-03,2012-04-03 11:04:07,0,3,2b74c37c85575dbab04d07152122637f.jpg,5.6,800,400,11:04:07
+1.0,2012-03-08,2012-03-08 14:54:12,0,3,23b3118654e5bcf1c247b8639803db92.jpg,5.6,800,400,14:54:12
+1.0,2012-03-13,2012-03-13 11:12:27,0,3,67bb82978da19b6d969349caf2166ebe.jpg,5.6,800,400,11:12:27
+1.0,2012-04-03,2012-04-03 09:36:13,0,3,d85d221c1e968df8915464babb80a707.jpg,5.6,800,400,09:36:13
+1.0,2012-03-22,2012-03-22 11:09:57,0,3,bc09c9b5a61e0a84d4c16fd28143047b.jpg,5.6,800,400,11:09:57
+1.0,2013-02-13,2013-02-13 12:09:49,1,1,9677297305ced9895581157bbaa80dde.jpg,5.6,800,100,12:09:49
+1.0,2012-03-20,2012-03-20 12:33:03,0,3,8fa6d124a04dda9911f583aadc0e3c05.jpg,5.6,800,400,12:33:03
+1.0,2012-04-03,2012-04-03 11:13:15,0,3,9bc31f5b3598aa080b54c2a1d6e8cd81.jpg,5.6,800,400,11:13:15
+1.0,2013-01-29,2013-01-29 16:32:58,1,1,5e7f6cdcd750357a5f5fb58c51688268.jpg,5.6,800,400,16:32:58
+1.0,2012-03-22,2012-03-22 11:08:03,0,3,2cd478f02c3dff00fcbc5bf881b57111.jpg,5.6,800,400,11:08:03
+1.0,2012-03-20,2012-03-20 11:08:39,0,3,066910ead15296805305b3ddbb263408.jpg,5.6,800,400,11:08:39
+1.0,2013-01-29,2013-01-29 12:19:03,1,1,1243e3f6682208b4024cfc06c55e8105.jpg,5.6,800,100,12:19:03
+1.0,2012-03-20,2012-03-20 11:05:48,0,3,34030b1b3c8a61a2011a2d1c5bd6aa15.jpg,5.6,800,400,11:05:48
+1.0,2013-02-20,2013-02-20 12:24:20,1,1,4e9f442292a1743e01c53d69e08a15ef.jpg,5.6,800,100,12:24:20
+1.0,2013-02-20,2013-02-20 12:10:23,1,1,c8461a1172610e871a1a72dcc025ba66.jpg,5.6,800,160,12:10:23
+1.0,2012-03-22,2012-03-22 11:06:25,0,3,ee5e4306869b210a22c2b24321eda953.jpg,5.6,800,400,11:06:25
+1.0,2012-03-20,2012-03-20 15:24:08,0,3,b1a8b906dc2d4b56586299be5289a9b5.jpg,5.6,800,400,15:24:08
+1.0,2013-02-26,2013-02-26 12:10:50,1,1,d406166ca96be77a9bc437c0555f1845.jpg,5.6,800,160,12:10:50
+1.0,2013-01-29,2013-01-29 12:33:06,1,1,5f7d923fde7391aec3f3bad905eefe6a.jpg,5.6,800,100,12:33:06
+1.0,2012-03-08,2012-03-08 15:00:58,0,3,6b2e9cd7ec5cc1966d16e27fb9bc741a.jpg,5.6,800,400,15:00:58
+1.0,2013-02-19,2013-02-19 16:22:18,1,1,cf4d8fedb3556efe57fa7714e05a3364.jpg,5.6,800,320,16:22:18
+1.0,2012-04-03,2012-04-03 11:07:07,0,3,12f19806e869e43d4d7612101b0aefdb.jpg,5.6,800,400,11:07:07
+1.0,2012-03-08,2012-03-08 14:53:47,0,3,3f85dc992c7141a5b89f7e5bbba9ed19.jpg,5.6,800,400,14:53:47
+1.0,2013-01-28,2013-01-28 12:35:25,1,1,4170b5ebb331767136aa6f34a49f5b59.jpg,5.6,800,100,12:35:25
+1.0,2012-04-03,2012-04-03 09:42:28,0,3,9401281e061bb9ba76e043ac5052a8c1.jpg,5.6,800,400,09:42:28
+1.0,2012-03-08,2012-03-08 10:46:49,0,3,28bf1134619ef04a30c90f93c5618e52.jpg,5.6,800,400,10:46:49
+1.0,2013-01-28,2013-01-28 12:35:26,1,1,cba4846b205a48400696010c8a0e78dc.jpg,5.6,800,100,12:35:26
+1.0,2013-01-29,2013-01-29 12:08:06,1,1,c6d3dc84839da24396b4ac6ac8062b42.jpg,5.6,800,100,12:08:06
+1.0,2012-03-20,2012-03-20 13:57:01,0,3,6d3536b1742a8b7cc981a17429677005.jpg,5.6,800,400,13:57:01
+1.0,2012-03-22,2012-03-22 11:08:17,0,3,070bb7101992af35789c5c337bbc8063.jpg,5.6,800,400,11:08:17
+1.0,2012-03-20,2012-03-20 12:28:38,0,3,9bea234ebdf84b6daf2db43a86d5a765.jpg,5.6,800,400,12:28:38
+1.0,2012-03-20,2012-03-20 12:34:35,0,3,aac334a073514f59a39377fe6a8f0d15.jpg,5.6,800,400,12:34:35
+1.0,2013-01-29,2013-01-29 12:08:18,1,1,7681d5deba6d09e7ac4cb42ab10f398c.jpg,5.6,800,100,12:08:18
+1.0,2012-03-22,2012-03-22 13:57:59,0,3,76bb3cbd79ac9c80f287e08771030aa8.jpg,5.6,800,400,13:57:59
+1.0,2013-01-28,2013-01-28 12:38:23,1,1,646871cf581b0936fc260baaa7e071e8.jpg,5.6,800,100,12:38:23
+1.0,2013-02-26,2013-02-26 12:11:16,1,1,dd64d66883b6c17a078d33e5bc5bb35a.jpg,5.6,800,200,12:11:16
+1.0,2012-03-20,2012-03-20 15:24:07,0,3,c3c976694c4046d577f199e37489b5e4.jpg,5.6,800,400,15:24:07
+1.0,2012-03-20,2012-03-20 12:32:42,0,3,b1558b3d6e10749c9037b59924d6afd3.jpg,5.6,800,400,12:32:42
+1.0,2013-02-20,2013-02-20 12:06:02,1,1,5b7588642590a662399d6a3163264c8e.jpg,5.6,800,160,12:06:02
+1.0,2013-02-19,2013-02-19 16:18:04,1,1,4f551a8c454a20f893150a2d093ad8f0.jpg,5.6,800,320,16:18:04
+1.0,2013-01-29,2013-01-29 16:25:48,1,1,dc9a7b7e4c64c0c84c086cfd1f03f0fa.jpg,5.6,800,250,16:25:48
+1.0,2013-01-28,2013-01-28 12:42:20,1,1,70aa9aa72847b9c90a98f6e67d493f85.jpg,5.6,800,100,12:42:20
+1.0,2012-04-03,2012-04-03 11:12:01,0,3,f50238c0bf647ce44d9ee4b79cf7b21a.jpg,5.6,800,400,11:12:01
+1.0,2012-03-20,2012-03-20 13:58:42,0,3,e828b11fe393e2da79b49da67c82c4a7.jpg,5.6,800,400,13:58:42
+1.0,2013-01-29,2013-01-29 12:18:00,1,1,fc55b170a262255a1c4325cef886a078.jpg,5.6,800,100,12:18:00
+1.0,2012-03-22,2012-03-22 11:09:58,0,3,515b69ff1c29a62dc90f69df8a57e1ad.jpg,5.6,800,400,11:09:58
+1.0,2013-02-26,2013-02-26 12:09:48,1,1,7111120a2ead245e5ade6bdc45d70213.jpg,5.6,800,200,12:09:48
+1.0,2012-03-06,2012-03-06 13:30:12,0,3,d1925e2037be3bf13b6bd83befa8ada7.jpg,5.6,800,400,13:30:12
+1.0,2012-03-20,2012-03-20 15:23:53,0,3,b3148bb2efa7935ae3fc55b61bbc9b9b.jpg,5.6,800,400,15:23:53
+1.0,2012-03-20,2012-03-20 15:24:20,0,3,534ff7ffce1c9af10c8d5600df4bd0a1.jpg,5.6,800,400,15:24:20
+1.0,2013-02-19,2013-02-19 16:28:35,1,1,236e46dae1cc08ff02d799ee838141af.jpg,5.6,800,500,16:28:35
+1.0,2013-02-26,2013-02-26 12:30:07,1,1,be1d82e5efb32c8fd52cc6f8a9cd198d.jpg,5.6,800,200,12:30:07
+1.0,2013-02-26,2013-02-26 12:07:16,1,1,39c7022634c21a9da191487db43ca2a3.jpg,5.6,800,200,12:07:16
+1.0,2013-01-29,2013-01-29 12:11:09,1,1,9cf2a195dbea7dc10ea372e030b68cd7.jpg,5.6,800,100,12:11:09
+1.0,2013-01-29,2013-01-29 12:09:09,1,1,d0e0de5f47d43af91e41bd0f01ac19ce.jpg,5.6,800,100,12:09:09
+1.0,2013-02-26,2013-02-26 12:12:34,1,1,a91e01b5c87fa1881ab14e083ccbdf7f.jpg,5.6,800,160,12:12:34
+1.0,2013-01-29,2013-01-29 12:08:09,1,1,dcfc7a0de78ac9eb797eb29bf0bde353.jpg,5.6,800,100,12:08:09
+1.0,2013-01-29,2013-01-29 12:27:23,1,1,c4a83ee1756a5d012c38c43df2fb08e3.jpg,5.6,800,100,12:27:23
+1.0,2012-03-20,2012-03-20 15:25:03,0,3,f493eec8d44b95cd8477c67c177fd7da.jpg,5.6,800,400,15:25:03
+1.0,2012-03-20,2012-03-20 15:22:57,0,3,72b1cabafdfd1dce4aae39147325b090.jpg,5.6,800,400,15:22:57
+1.0,2012-04-26,2012-04-26 12:37:19,0,3,c54257756712a15b3ae967b1a3e7584d.jpg,5.6,800,400,12:37:19
+1.0,2013-01-29,2013-01-29 12:10:41,1,1,21d08d0d58a5e8e15c244cbe00a5044f.jpg,5.6,800,100,12:10:41
+1.0,2013-01-29,2013-01-29 12:32:05,1,1,863a4c22398c762c2422031bb9818b8a.jpg,5.6,800,100,12:32:05
+1.0,2012-03-08,2012-03-08 10:45:24,0,3,be6902a62b937f7784b564a69aa1cd4d.jpg,5.6,800,400,10:45:24
+1.0,2013-02-26,2013-02-26 12:04:11,1,1,0cd1c58679168e37b480886446bc884d.jpg,5.6,800,160,12:04:11
+1.0,2013-01-28,2013-01-28 12:38:33,1,1,b23ab9babdcda855798df888c53b57cf.jpg,5.6,800,100,12:38:33
+1.0,2012-03-20,2012-03-20 13:58:03,0,3,e04ad39b3c0d8359e56a8ee41038b708.jpg,5.6,800,400,13:58:03
+1.0,2012-04-24,2012-04-24 11:08:09,0,3,3055fed1e37671f47fb69a5d985d7ee7.jpg,5.6,800,400,11:08:09
+1.0,2013-02-26,2013-02-26 12:08:46,1,1,a6dfc043564c684e5151346f21dd5cec.jpg,5.6,800,200,12:08:46
+1.0,2013-01-29,2013-01-29 12:11:39,1,1,c39563be23fea35ee350dabcc731f715.jpg,5.6,800,100,12:11:39
+1.0,2013-01-29,2013-01-29 16:26:00,1,1,f83e200833dc35450d8a00e4afd8b51e.jpg,5.6,800,320,16:26:00
+1.0,2013-02-26,2013-02-26 12:12:29,1,1,903f3504db3a09d63f8a06731b090b42.jpg,5.6,800,200,12:12:29
+1.0,2013-02-13,2013-02-13 12:28:31,1,1,77c05851f06b656a1d6d779ed62ce24b.jpg,5.6,800,100,12:28:31
+1.0,2013-01-29,2013-01-29 12:07:32,1,1,2e05923ee7fe935345faf517330f1934.jpg,5.6,800,100,12:07:32
+1.0,2012-04-03,2012-04-03 11:11:13,0,3,6996ff3919b572ada1d3c80045dfbe3b.jpg,5.6,800,400,11:11:13
+1.0,2013-01-28,2013-01-28 12:42:22,1,1,5e523ad45e1e0083a3d7a7837824d7de.jpg,5.6,800,100,12:42:22
+1.0,2012-03-20,2012-03-20 12:29:59,0,3,34a0fccb50a635a6cfd1e74569c446fb.jpg,5.6,800,400,12:29:59
+1.0,2013-02-20,2013-02-20 12:16:37,1,1,92d51a39535bc0040c61741240f7d10b.jpg,5.6,800,125,12:16:37
+1.0,2013-02-20,2013-02-20 12:19:22,1,1,1c173b1e6cc38946c5b7ea09cd527031.jpg,5.6,800,100,12:19:22
+1.0,2013-01-29,2013-01-29 12:20:04,1,1,3cac568edee37de391359e5daacdc721.jpg,5.6,800,100,12:20:04
+1.0,2013-02-26,2013-02-26 12:11:09,1,1,abd4c0348f1b5bf82c5e6e723b84228c.jpg,5.6,800,200,12:11:09
+1.0,2013-02-20,2013-02-20 12:28:53,1,1,e6263be9b145cd91eea913aa053a9b5c.jpg,5.6,800,100,12:28:53
+1.0,2013-02-13,2013-02-13 12:06:31,1,1,3fe60f477b78bb83b44d43fd2079eb04.jpg,5.6,800,100,12:06:31
+1.0,2012-03-20,2012-03-20 12:30:22,0,3,74bbb93c73556e1c0b912ed6a7af2120.jpg,5.6,800,400,12:30:22
+1.0,2012-03-20,2012-03-20 13:57:53,0,3,4e9df6430591b7bbccc027a230eb643d.jpg,5.6,800,400,13:57:53
+1.0,2013-02-20,2013-02-20 12:27:28,1,1,604fd4c5cf74ab9afa52ae8c47f22708.jpg,5.6,800,100,12:27:28
+1.0,2012-03-20,2012-03-20 12:36:00,0,3,0ac0e9565b46018397dfcf5e7d81a636.jpg,5.6,800,400,12:36:00
+1.0,2013-01-28,2013-01-28 12:39:00,1,1,1abe14fc822120819e97d4c1efbd6b6a.jpg,5.6,800,100,12:39:00
+1.0,2013-01-28,2013-01-28 12:35:32,1,1,47e0a5e22bd1495a4e3ac239900614df.jpg,5.6,800,100,12:35:32
+1.0,2012-03-13,2012-03-13 11:13:17,0,3,58765978482fa6158a33f8ca46360233.jpg,5.6,800,400,11:13:17
+1.0,2012-03-20,2012-03-20 13:56:43,0,3,13157cff6056c05d313045351cd63400.jpg,5.6,800,400,13:56:43
+1.0,2012-04-03,2012-04-03 11:07:02,0,3,927fffc4cb860f8463c5e9bd7d467d57.jpg,5.6,800,400,11:07:02
+1.0,2013-02-26,2013-02-26 12:06:30,1,1,4ee891136ac779d2e5a05a223ed70a82.jpg,5.6,800,200,12:06:30
+1.0,2013-01-28,2013-01-28 12:40:09,1,1,eb7410945399b65df2cac49e61bdd52e.jpg,5.6,800,100,12:40:09
+1.0,2012-03-08,2012-03-08 14:55:53,0,3,280504adb24b8dbd6c00df5fe2d3335d.jpg,5.6,800,400,14:55:53
+1.0,2012-03-20,2012-03-20 11:08:42,0,3,e0baaef71e74d3c0ac237dafac916a14.jpg,5.6,800,400,11:08:42
+1.0,2013-01-29,2013-01-29 12:34:16,1,1,e306f8b70df35eeca535ffa54f9e7635.jpg,5.6,800,100,12:34:16
+1.0,2013-01-29,2013-01-29 16:34:25,1,1,e8c458eac3e38ac21cf1e42460d7be63.jpg,5.6,800,640,16:34:25
+1.0,2013-02-20,2013-02-20 12:25:02,1,1,69497e1d1e16cfe47adfb953b326d42d.jpg,5.6,800,100,12:25:02
+1.0,2012-03-22,2012-03-22 11:08:44,0,3,2e2ea75ad2b67f73513cbe7992c5efd1.jpg,5.6,800,400,11:08:44
+1.0,2013-02-20,2013-02-20 12:24:43,1,1,ff957451e6ee50e1b2ff81e39fdce5f2.jpg,5.6,800,100,12:24:43
+1.0,2013-02-26,2013-02-26 12:07:33,1,1,317c2060c09561ea71ea9db3ac53cd50.jpg,5.6,800,160,12:07:33
+1.0,2013-01-29,2013-01-29 16:25:30,1,1,21be10c4c5c32bcc825ac5bf44258b03.jpg,5.6,800,250,16:25:30
+1.0,2012-03-20,2012-03-20 12:35:03,0,3,aa9416335fdcf98960eb0364aa481722.jpg,5.6,800,400,12:35:03
+1.0,2013-01-28,2013-01-28 12:41:27,1,1,9a83bd602ca9981c5cbf8899ab4b25c2.jpg,5.6,800,100,12:41:27
+1.0,2012-03-20,2012-03-20 15:23:39,0,3,2a9645fd1334e022c7359b7f87f8ff43.jpg,5.6,800,400,15:23:39
+1.0,2013-01-29,2013-01-29 12:17:18,1,1,7953ca415cdde0f220efc0d69d8d64ac.jpg,5.6,800,100,12:17:18
+1.0,2012-04-03,2012-04-03 11:07:17,0,3,ba43668d5c15b0633877febba6e90d86.jpg,5.6,800,400,11:07:17
+1.0,2013-01-29,2013-01-29 12:15:44,1,1,f2541f9035f5752b9a60a7cd06c7fe42.jpg,5.6,800,100,12:15:44
+1.0,2012-03-20,2012-03-20 13:58:44,0,3,c602f463b05c0ff95ab7a7cb32dd9491.jpg,5.6,800,400,13:58:44
+1.0,2012-03-20,2012-03-20 09:42:25,0,3,cb19663aa242d21f3647d20007ee84ee.jpg,5.6,800,400,09:42:25
+1.0,2013-01-29,2013-01-29 12:09:55,1,1,d5b9de5f892cd0f3ce6e934173645ee5.jpg,5.6,800,100,12:09:55
+1.0,2012-03-20,2012-03-20 15:23:03,0,3,8269d4156201302aae32cb9491f59392.jpg,5.6,800,400,15:23:03
+1.0,2012-03-08,2012-03-08 14:53:40,0,3,7e266650215107b454d39973fdd0ec30.jpg,5.6,800,400,14:53:40
+1.0,2013-01-29,2013-01-29 12:34:19,1,1,97abce4d187d47894ec46d98faa87226.jpg,5.6,800,100,12:34:19
+1.0,2012-03-20,2012-03-20 09:47:34,0,3,8ab8ed7a4eec704372d9fc0afd0afe55.jpg,5.6,800,400,09:47:34
+1.0,2013-01-28,2013-01-28 12:33:05,1,1,f6e4d71f520a001de0a7dd1f893a8215.jpg,5.6,800,100,12:33:05
+1.0,2013-01-28,2013-01-28 12:34:09,1,1,63c749b1d59e658922717db2e234b2a4.jpg,5.6,800,100,12:34:09
+1.0,2012-04-03,2012-04-03 11:07:55,0,3,f67a7b7aa9f8692af17f517ef679efa7.jpg,5.6,800,400,11:07:55
+1.0,2012-03-08,2012-03-08 10:45:21,0,3,c7c102a70c7586e4e3bfb99f8687196f.jpg,5.6,800,400,10:45:21
+1.0,2012-04-03,2012-04-03 09:34:57,0,3,531bc1c2620016e63b08cef5a8d9c714.jpg,5.6,800,400,09:34:57
+1.0,2012-04-03,2012-04-03 11:05:10,0,3,4a0d0fb158fa20e0a64543d7f63c8b14.jpg,5.6,800,400,11:05:10
+1.0,2013-02-13,2013-02-13 13:15:28,1,1,a32497e6d3e39b5b09ec4543cc546164.jpg,5.6,800,100,13:15:28
+1.0,2013-01-29,2013-01-29 16:34:12,1,1,a61eeb978195c1d1874955668b904ddd.jpg,5.6,800,500,16:34:12
+1.0,2013-01-28,2013-01-28 12:42:21,1,1,31c409f37577647ae0ec2dd500f3b40f.jpg,5.6,800,100,12:42:21
+1.0,2013-02-19,2013-02-19 16:31:40,1,1,f94bac096977915fd2062136997eb573.jpg,5.6,800,320,16:31:40
+1.0,2012-03-20,2012-03-20 12:34:55,0,3,567996a68941c786caced9cabc0e3147.jpg,5.6,800,400,12:34:55
+1.0,2013-01-28,2013-01-28 12:42:42,1,1,3eb790a021aaf614d7e555e9e5daf001.jpg,5.6,800,100,12:42:42
+1.0,2013-02-13,2013-02-13 12:07:53,1,1,5d7e766206270c8945e9a4c13314086f.jpg,5.6,800,100,12:07:53
+1.0,2013-01-29,2013-01-29 16:32:29,1,1,8200da506c57ff968654ccb0d4af0fd3.jpg,5.6,800,400,16:32:29
+1.0,2012-03-20,2012-03-20 12:33:34,0,3,285dcdd1cb1178edbcceec53e0bd93ee.jpg,5.6,800,400,12:33:34
+1.0,2013-02-19,2013-02-19 16:31:41,1,1,06ba9ca3ee6da6197290537298100b32.jpg,5.6,800,320,16:31:41
+1.0,2012-03-13,2012-03-13 11:11:18,0,3,e03b1d91afb4bfe0bfd3b4aa7da66ffc.jpg,5.6,800,400,11:11:18
+1.0,2012-04-03,2012-04-03 11:12:15,0,3,4be3c2edc37fcdfaef5383afb227e62c.jpg,5.6,800,400,11:12:15
+1.0,2013-01-28,2013-01-28 12:41:22,1,1,f9442f14e1835891093ba295b3c5fb46.jpg,5.6,800,100,12:41:22
+1.0,2013-02-19,2013-02-19 16:28:14,1,1,99aa268802237e072f4698838c8b9c0a.jpg,5.6,800,320,16:28:14
+1.0,2013-01-29,2013-01-29 16:31:11,1,1,661480807acb805de12c5a5db4784fd3.jpg,5.6,800,400,16:31:11
+1.0,2013-01-29,2013-01-29 12:12:41,1,1,24278826478bf4229e612c9e3b15b8b6.jpg,5.6,800,100,12:12:41
+1.0,2012-03-20,2012-03-20 09:46:45,0,3,f1fab66e207cfd74cc1da14dda768060.jpg,5.6,800,400,09:46:45
+1.0,2012-03-22,2012-03-22 14:00:12,0,3,b9e71534cf2dd7d11b92e0082bea7d78.jpg,5.6,800,400,14:00:12
+1.0,2013-02-13,2013-02-13 12:57:01,1,1,166d14edc7ae6221a236199571b3d64c.jpg,5.6,800,100,12:57:01
+1.0,2012-03-08,2012-03-08 12:13:18,0,3,bc5744cc92f3517fce2d70e0043f0014.jpg,5.6,800,400,12:13:18
+1.0,2013-02-19,2013-02-19 16:27:41,1,1,9b6279b9a19671a86326374f91d8f770.jpg,5.6,800,320,16:27:41
+1.0,2012-03-20,2012-03-20 09:42:00,0,3,76036ddf6294840e842fd3920670762d.jpg,5.6,800,400,09:42:00
+1.0,2013-01-29,2013-01-29 16:26:02,1,1,9ae48a98103f6e5a6a2a811797333b40.jpg,5.6,800,200,16:26:02
+1.0,2012-04-03,2012-04-03 11:08:16,0,3,accf6577b18b32c14e0ec3c4886f205e.jpg,5.6,800,400,11:08:16
+1.0,2013-01-28,2013-01-28 12:42:49,1,1,e9a6edab57cee69446a7753c91347bc8.jpg,5.6,800,100,12:42:49
+1.0,2013-01-28,2013-01-28 12:37:45,1,1,8455d9820ab433b05bf85978c5328186.jpg,5.6,800,100,12:37:45
+1.0,2013-02-20,2013-02-20 12:27:27,1,1,4bad0fec92fbe3086e75839b7046da84.jpg,5.6,800,100,12:27:27
+1.0,2012-04-03,2012-04-03 11:08:46,0,3,f8c39e3854600390cf3f3336c6c77f6d.jpg,5.6,800,400,11:08:46
+1.0,2012-04-03,2012-04-03 11:11:07,0,3,b414b767e63a6e615de5856a45b99a69.jpg,5.6,800,400,11:11:07
+1.0,2013-02-20,2013-02-20 12:09:31,1,1,30e1eedd46a48daa7d4d46797441af03.jpg,5.6,800,200,12:09:31
+1.0,2012-03-22,2012-03-22 11:04:00,0,3,8a5b0f5a23377d46da13ec113b739c86.jpg,5.6,800,400,11:04:00
+1.0,2013-01-29,2013-01-29 16:21:21,1,1,40d429e14c4eee9e238b3adf23ebabeb.jpg,5.6,800,250,16:21:21
+1.0,2013-01-29,2013-01-29 12:10:51,1,1,20d8f3b86fa55730ac333a7897294bc1.jpg,5.6,800,100,12:10:51
+1.0,2012-02-23,2012-02-23 14:58:19,0,3,2098ac9c9dadf58ba1b7e4fb5ffeaff0.jpg,5.6,800,400,14:58:19
+1.0,2012-03-20,2012-03-20 15:24:16,0,3,659bd029c490a4d5dd2f36647a69461d.jpg,5.6,800,400,15:24:16
+1.0,2013-02-20,2013-02-20 12:34:49,1,1,15b44ac76af6a9da743268ff8d56bce1.jpg,5.6,800,100,12:34:49
+1.0,2012-03-13,2012-03-13 11:12:16,0,3,516f396c0a7b2fc9f96fdb18cb592e91.jpg,5.6,800,400,11:12:16
+1.0,2013-01-29,2013-01-29 16:27:36,1,1,2f863940656260217a19c24a6d115f41.jpg,5.6,800,320,16:27:36
+1.0,2013-02-20,2013-02-20 12:33:03,1,1,8d920cc04afbe6b719696f125fdb5f2f.jpg,5.6,800,100,12:33:03
+1.0,2013-01-29,2013-01-29 12:27:47,1,1,a18db0d2b225186159329baf41b71f2b.jpg,5.6,800,100,12:27:47
+1.0,2012-03-08,2012-03-08 14:54:37,0,3,4ab291bc68cde653f972a68aaecbfb6b.jpg,5.6,800,400,14:54:37
+1.0,2013-01-29,2013-01-29 16:34:15,1,1,2de80b702cf7441692a57426689963b2.jpg,5.6,800,400,16:34:15
+1.0,2012-03-08,2012-03-08 14:56:45,0,3,37a8d50f488d7ecd927020025dd0b57d.jpg,5.6,800,400,14:56:45
+1.0,2012-03-20,2012-03-20 12:31:39,0,3,1a92f614cf89c0fc7e1bfab9cce6bd53.jpg,5.6,800,400,12:31:39
+1.0,2012-03-20,2012-03-20 12:31:36,0,3,9a1f4448bc65a7eef80ee7db639fc254.jpg,5.6,800,400,12:31:36
+1.0,2012-03-22,2012-03-22 11:06:51,0,3,627b4b550c34d601ee6c5d4a96de04ba.jpg,5.6,800,400,11:06:51
+1.0,2013-02-26,2013-02-26 12:16:08,1,1,69624ace56b1e6d4caed798b0c925723.jpg,5.6,800,160,12:16:08
+1.0,2012-03-20,2012-03-20 09:46:50,0,3,f050eb07c6f85d9beea40d239c68fe04.jpg,5.6,800,400,09:46:50
+1.0,2012-03-20,2012-03-20 13:57:36,0,3,4dee694c8113846dddc087a08ba86f05.jpg,5.6,800,400,13:57:36
+1.0,2013-01-28,2013-01-28 12:36:22,1,1,dc7d8b8ab42d80f0ba4b444c4898d111.jpg,5.6,800,100,12:36:22
+1.0,2013-01-28,2013-01-28 12:34:48,1,1,c7b0fb6e789c742b0f01f4a1bd51d5c4.jpg,5.6,800,100,12:34:48
+1.0,2012-03-13,2012-03-13 11:13:20,0,3,aaea679bff5765cdf43ef8005cfb4103.jpg,5.6,800,400,11:13:20
+1.0,2013-01-29,2013-01-29 16:30:51,1,1,21e126871e16e935b941df1e78efb4aa.jpg,5.6,800,400,16:30:51
+1.0,2012-03-20,2012-03-20 12:33:48,0,3,f64fa3137a3393aa1ba84325efd80419.jpg,5.6,800,400,12:33:48
+1.0,2012-03-20,2012-03-20 12:33:34,0,3,4ca6d0e963cb8f8de717b9985c1f4085.jpg,5.6,800,400,12:33:34
+1.0,2012-03-20,2012-03-20 12:34:41,0,3,d1b53d82d3a8e54eb901f4de2cd1d785.jpg,5.6,800,400,12:34:41
+1.0,2012-03-20,2012-03-20 15:23:52,0,3,3cf1a8f482bf4ffd0f880d7d0b303025.jpg,5.6,800,400,15:23:52
+1.0,2012-03-08,2012-03-08 10:48:23,0,3,b54c9ebdaa983a0b1666c3558c3d4427.jpg,5.6,800,400,10:48:23
+1.0,2013-02-26,2013-02-26 12:12:24,1,1,3a9eb394e326d2889360885a9836fe65.jpg,5.6,800,200,12:12:24
+1.0,2013-02-26,2013-02-26 12:04:38,1,1,fdfe91649620531d0055df4cb30923d8.jpg,5.6,800,160,12:04:38
+1.0,2012-04-03,2012-04-03 09:38:41,0,3,7311b040b79bb87b24796664ee0ec8d2.jpg,5.6,800,400,09:38:41
+1.0,2013-02-26,2013-02-26 12:43:58,1,1,bf4c4175a97ded0f0fabf9a7730683e9.jpg,5.6,800,200,12:43:58
+1.0,2013-01-29,2013-01-29 12:31:22,1,1,6cd767fd92d402e938ed4b964120936d.jpg,5.6,800,100,12:31:22
+1.0,2012-04-03,2012-04-03 11:13:07,0,3,7d20752d720466b65405eba33858708a.jpg,5.6,800,400,11:13:07
+1.0,2012-04-03,2012-04-03 11:05:47,0,3,7826e640ecd14d7b2eaffff92bc90450.jpg,5.6,800,400,11:05:47
+1.0,2012-04-03,2012-04-03 09:41:21,0,3,3692812ca7817533f51ea8a2b7974377.jpg,5.6,800,400,09:41:21
+1.0,2012-03-20,2012-03-20 12:32:13,0,3,41017ce17109fce50ae9c8e067644a61.jpg,5.6,800,400,12:32:13
+1.0,2013-02-20,2013-02-20 12:13:34,1,1,09fd711b829816a0841bff4e56e7a7d9.jpg,5.6,800,160,12:13:34
+1.0,2012-03-20,2012-03-20 12:33:33,0,3,f0ed9a0bf4430ba801d98d7a693d8a26.jpg,5.6,800,400,12:33:33
+1.0,2013-02-26,2013-02-26 12:17:41,1,1,2f4fa88c2805323d12095b3ab57b9245.jpg,5.6,800,200,12:17:41
+1.0,2013-02-20,2013-02-20 12:32:25,1,1,11aabec3910053aebe14f81819764a37.jpg,5.6,800,100,12:32:25
+1.0,2013-02-20,2013-02-20 12:19:39,1,1,6f552bf70b302bec5e6efc56a7de54fa.jpg,5.6,800,100,12:19:39
+1.0,2012-04-12,2012-04-12 13:57:07,0,3,39411bd592712c9ce5145c2b6b99df57.jpg,5.6,800,400,13:57:07
+1.0,2013-01-29,2013-01-29 12:10:20,1,1,e88a02a9bd33781ca46deb01b00cc7f2.jpg,5.6,800,100,12:10:20
+1.0,2012-04-03,2012-04-03 09:36:49,0,3,dbe1c891f06db3104a6676cd6154b03c.jpg,5.6,800,400,09:36:49
+1.0,2013-02-13,2013-02-13 12:33:12,1,1,3c97f67a79a236c51cc84241a7638d66.jpg,5.6,800,100,12:33:12
+1.0,2013-01-29,2013-01-29 12:14:55,1,1,9b924a2d534d426b4221397f86af5ca8.jpg,5.6,800,100,12:14:55
+1.0,2012-03-08,2012-03-08 14:54:26,0,3,2e97be218a49a82256966b93eba35a01.jpg,5.6,800,400,14:54:26
+1.0,2012-04-03,2012-04-03 11:09:45,0,3,644e0f146ba46b8cd9079f3abff1b7a3.jpg,5.6,800,400,11:09:45
+1.0,2012-03-20,2012-03-20 13:58:35,0,3,f42584d65284b58d8ebf4f748928bc11.jpg,5.6,800,400,13:58:35
+1.0,2013-02-13,2013-02-13 12:59:03,1,1,ad5fc682cc2f4d85bd4d26b759eb5ac2.jpg,5.6,800,100,12:59:03
+1.0,2013-01-28,2013-01-28 12:37:57,1,1,f5b40ad20492edf8e0ea482cf51adee3.jpg,5.6,800,100,12:37:57
+1.0,2013-02-19,2013-02-19 16:21:51,1,1,5065941618fff0eb14f508f929ba15c8.jpg,5.6,800,320,16:21:51
+1.0,2013-02-19,2013-02-19 16:16:06,1,1,cc3bb9da7a3369dfafecd356fba44759.jpg,5.6,800,320,16:16:06
+1.0,2013-02-20,2013-02-20 12:43:19,1,1,6d266f84da9585094ce625b503a9542f.jpg,5.6,800,100,12:43:19
+1.0,2012-04-03,2012-04-03 09:37:23,0,3,a3e3bf587e08e189c6e58c05a491a904.jpg,5.6,800,400,09:37:23
+1.0,2012-03-08,2012-03-08 14:53:37,0,3,6ebf2405e936824627626171b1812e64.jpg,5.6,800,400,14:53:37
+1.0,2012-03-20,2012-03-20 11:04:11,0,3,c518e91f96576f2f1d64118bb6c7ae68.jpg,5.6,800,400,11:04:11
+1.0,2013-02-19,2013-02-19 16:18:14,1,1,6a89973ad86f39cec17abd4ca33a953c.jpg,5.6,800,320,16:18:14
+1.0,2013-01-28,2013-01-28 12:34:46,1,1,f5619d08e3a9535208960e1134bed0c3.jpg,5.6,800,100,12:34:46
+1.0,2013-01-29,2013-01-29 12:20:54,1,1,1a43cf7189fa02ef834943d5dc5265ad.jpg,5.6,800,100,12:20:54
+1.0,2012-03-20,2012-03-20 12:34:55,0,3,ac5235a3bc94e582ec4517c23ab4fddf.jpg,5.6,800,400,12:34:55
+1.0,2013-02-13,2013-02-13 12:21:18,1,1,b343d5fad15d1936f954ace4adaeece8.jpg,5.6,800,100,12:21:18
+1.0,2013-02-13,2013-02-13 12:48:04,1,1,2b59eb4207a537d0c331b60cedca4a44.jpg,5.6,800,100,12:48:04
+1.0,2012-04-03,2012-04-03 12:32:21,0,3,c2c2fce2eb3a196dca78930c15cdebe7.jpg,5.6,800,400,12:32:21
+1.0,2013-02-26,2013-02-26 12:13:27,1,1,f7b6b09177bac693ce0e94bcaa056f72.jpg,5.6,800,160,12:13:27
+1.0,2013-01-29,2013-01-29 12:27:21,1,1,ada72c2f06b86e4cf1a4a4136af23292.jpg,5.6,800,100,12:27:21
+1.0,2012-03-20,2012-03-20 12:30:01,0,3,eb870c903569741d477359be82ebc588.jpg,5.6,800,400,12:30:01
+1.0,2013-01-29,2013-01-29 16:22:41,1,1,71ee919eacbcd555e09293852ca1f0a2.jpg,5.6,800,500,16:22:41
+1.0,2013-02-19,2013-02-19 16:18:57,1,1,b1f10f3c8c12d0734ff587f08e3ba628.jpg,5.6,800,400,16:18:57
+1.0,2012-03-13,2012-03-13 11:11:21,0,3,9143e3299c9c3c0d5e3802bbd0d3e006.jpg,5.6,800,400,11:11:21
+1.0,2013-02-20,2013-02-20 12:24:10,1,1,bf567280d0c069a3bde40630f7023d79.jpg,5.6,800,100,12:24:10
+1.0,2013-01-29,2013-01-29 12:16:28,1,1,8008b8776ed414220331a2329a0005d2.jpg,5.6,800,100,12:16:28
+1.0,2012-04-03,2012-04-03 09:38:14,0,3,ea22d2c50dfb3900079d68613bc34883.jpg,5.6,800,400,09:38:14
+1.0,2013-02-19,2013-02-19 16:31:45,1,1,5f96f10b9dc18c2a02ee88eb01b7128c.jpg,5.6,800,320,16:31:45
+1.0,2013-01-29,2013-01-29 12:19:57,1,1,acae5e6c15a3c06dc67e7050cace4ca3.jpg,5.6,800,100,12:19:57
+1.0,2013-01-28,2013-01-28 12:38:48,1,1,9c48377bf35244c2b5b5766899a2ae75.jpg,5.6,800,100,12:38:48
+1.0,2013-02-26,2013-02-26 12:17:26,1,1,d928c72df1be48e00f5cd7b8e36ca498.jpg,5.6,800,200,12:17:26
+1.0,2013-01-28,2013-01-28 12:40:55,1,1,10fbab3ba6c0ccc4da0ec2bfaffa63f1.jpg,5.6,800,100,12:40:55
+1.0,2013-02-20,2013-02-20 12:06:25,1,1,bbc3ecedcaeb8d0a30c4bf1ad8633f6b.jpg,5.6,800,160,12:06:25
+1.0,2012-04-03,2012-04-03 09:37:26,0,3,b90579b0434a7202ab6b19a5e4d4a4da.jpg,5.6,800,400,09:37:26
+1.0,2013-02-13,2013-02-13 12:58:28,1,1,d3c6627aaed3623347b806b115163fcb.jpg,5.6,800,100,12:58:28
+1.0,2012-04-03,2012-04-03 11:09:30,0,3,ca1efb804d68c6c8ca46a6f0e1fc85f0.jpg,5.6,800,400,11:09:30
+1.0,2013-01-29,2013-01-29 16:32:54,1,1,a14da9339da2bd3cca1ceea25d5f0027.jpg,5.6,800,320,16:32:54
+1.0,2013-01-28,2013-01-28 12:41:41,1,1,4ba43c7080c1149bcd4fed9ad19b7e76.jpg,5.6,800,100,12:41:41
+1.0,2012-04-24,2012-04-24 09:44:34,0,3,11f8ef90d0be715a685339c5fe29917f.jpg,5.6,800,400,09:44:34
+1.0,2013-02-19,2013-02-19 16:25:40,1,1,24448e23662c7fb7af8e20b2c1e49f7e.jpg,5.6,800,320,16:25:40
+1.0,2013-02-13,2013-02-13 12:44:46,1,1,577341edd58553ea6020ab3857d8d9c5.jpg,5.6,800,100,12:44:46
+1.0,2013-01-28,2013-01-28 12:34:41,1,1,01f3869502d07b6012bfdc6e32ed9e65.jpg,5.6,800,100,12:34:41
+1.0,2013-02-19,2013-02-19 16:16:07,1,1,28018429d6c3e13b9499f400460e9182.jpg,5.6,800,320,16:16:07
+1.0,2013-01-29,2013-01-29 16:24:45,1,1,2ba4e251205b3988437d13bbadd33d0d.jpg,5.6,800,250,16:24:45
+1.0,2013-02-20,2013-02-20 12:03:20,1,1,07f7ef50e42be7430e7881edfb44dd3a.jpg,5.6,800,200,12:03:20
+1.0,2013-01-29,2013-01-29 12:14:19,1,1,87949b16ecc0f6ccfa44bf7952032265.jpg,5.6,800,100,12:14:19
+1.0,2012-03-22,2012-03-22 11:06:30,0,3,500f7e897d81e33f512d90c7cdc585bd.jpg,5.6,800,400,11:06:30
+1.0,2013-01-28,2013-01-28 12:34:13,1,1,a5492548d279ab3aa55bfce524004aaf.jpg,5.6,800,100,12:34:13
+1.0,2013-02-19,2013-02-19 16:22:56,1,1,239a4a001b16d79fa3e617e5b51173d8.jpg,5.6,800,400,16:22:56
+1.0,2013-02-20,2013-02-20 12:06:52,1,1,16e11f348a44267fab0e9105a6d78f30.jpg,5.6,800,160,12:06:52
+1.0,2012-03-08,2012-03-08 10:47:22,0,3,48030efa7584adaf4fce7e4533dd6fbf.jpg,5.6,800,400,10:47:22
+1.0,2013-02-19,2013-02-19 16:22:49,1,1,1af14e82af042403b16eac74ba52d3b0.jpg,5.6,800,320,16:22:49
+1.0,2013-02-13,2013-02-13 12:17:05,1,1,b97fe92f27b4df6d41a3bc2e8bd1af75.jpg,5.6,800,100,12:17:05
+1.0,2012-03-08,2012-03-08 14:53:59,0,3,750f639a6c459d5591e5f81596aed6e6.jpg,5.6,800,400,14:53:59
+1.0,2013-02-19,2013-02-19 16:18:03,1,1,389a96e17f5d26f02d4679bc8dd114b6.jpg,5.6,800,320,16:18:03
+1.0,2013-02-26,2013-02-26 12:19:22,1,1,cb94162d0b87338e95587fe80a19e56f.jpg,5.6,800,200,12:19:22
+1.0,2013-01-28,2013-01-28 12:42:28,1,1,a84e8d1f60adfb8c25f2ed5334b499f2.jpg,5.6,800,100,12:42:28
+1.0,2013-02-19,2013-02-19 16:30:57,1,1,3948139bf2605660acda971e28d83024.jpg,5.6,800,320,16:30:57
+1.0,2013-02-13,2013-02-13 12:57:18,1,1,dc60c52ccb4f855889b607af06f745a0.jpg,5.6,800,100,12:57:18
+1.0,2013-02-26,2013-02-26 12:08:57,1,1,5a4763920e2c7252b0aa87a1f595136a.jpg,5.6,800,200,12:08:57
+1.0,2012-04-03,2012-04-03 11:11:22,0,3,7f39cc1fd02b1c2f29f3e14559d7d00b.jpg,5.6,800,400,11:11:22
+1.0,2013-01-29,2013-01-29 12:10:54,1,1,ef11a62ffa3d39b38ce8782e218ed7b7.jpg,5.6,800,100,12:10:54
+1.0,2012-03-20,2012-03-20 12:33:38,0,3,1f4f3ec31eccdc56a037bfb00551f8cc.jpg,5.6,800,400,12:33:38
+1.0,2012-02-23,2012-02-23 14:56:10,0,3,1b6a03de9969145d133df1ae8e237cb0.jpg,5.6,800,400,14:56:10
+1.0,2013-02-19,2013-02-19 16:14:47,1,1,cf25315c140cc6045bbc8eb5c3be83d4.jpg,5.6,800,250,16:14:47
+1.0,2013-01-28,2013-01-28 12:33:29,1,1,7bff22fb2dc4d1beaf093b0e9331b799.jpg,5.6,800,100,12:33:29
+1.0,2013-01-28,2013-01-28 12:42:39,1,1,0ba2d91ae131d40370a55da061e863af.jpg,5.6,800,100,12:42:39
+1.0,2012-03-20,2012-03-20 11:07:50,0,3,730f07cd9a92fca09d91f1f4a96f1c0b.jpg,5.6,800,400,11:07:50
+1.0,2013-02-26,2013-02-26 12:04:14,1,1,48a24dde26ed3830f062981377c4f49c.jpg,5.6,800,160,12:04:14
+1.0,2012-04-03,2012-04-03 11:12:06,0,3,f7ccac40be6a9bba3715221dd7867723.jpg,5.6,800,400,11:12:06
+1.0,2012-03-22,2012-03-22 11:10:58,0,3,edd5c0634ccea91ee88e00eeb4029c48.jpg,5.6,800,400,11:10:58
+1.0,2013-01-28,2013-01-28 12:37:49,1,1,2e6c8189c9d358948fe21dd85ad34961.jpg,5.6,800,100,12:37:49
+1.0,2012-04-03,2012-04-03 12:26:32,0,3,36257592ea08eaa6d3fb6d8cb87b6b68.jpg,5.6,800,400,12:26:32
+1.0,2012-03-08,2012-03-08 10:47:35,0,3,96520542fac9d7f98303f76b2c37db06.jpg,5.6,800,400,10:47:35
+1.0,2013-02-20,2013-02-20 12:10:59,1,1,1f69ecd82af03656b4d53b748b41dc6f.jpg,5.6,800,160,12:10:59
+1.0,2012-04-03,2012-04-03 11:13:02,0,3,b9a332c7c6cb473a942ff93d798f367e.jpg,5.6,800,400,11:13:02
+1.0,2012-03-22,2012-03-22 11:11:28,0,3,ffe89a3cb88534191daff35b57ae4461.jpg,5.6,800,400,11:11:28
+1.0,2012-03-20,2012-03-20 12:32:21,0,3,80efc978e898ca1fa264db426acc90cb.jpg,5.6,800,400,12:32:21
+1.0,2012-04-03,2012-04-03 09:36:09,0,3,fb8673e7b8ca81cb17e4ac11282b41b2.jpg,5.6,800,400,09:36:09
+1.0,2013-01-28,2013-01-28 12:34:16,1,1,1408b95f6ec9d64c38bd70623cd83941.jpg,5.6,800,100,12:34:16
+1.0,2012-03-20,2012-03-20 15:24:13,0,3,4932faacd41e23c23fb4bc6f1ad9bdf1.jpg,5.6,800,400,15:24:13
+1.0,2013-02-13,2013-02-13 12:23:48,1,1,818513f3bfd17d050ee5f3829b71e3ca.jpg,5.6,800,100,12:23:48
+1.0,2013-01-29,2013-01-29 16:29:08,1,1,89640e4a9b1fe9eaebda5375901fa067.jpg,5.6,800,250,16:29:08
+1.0,2012-04-03,2012-04-03 11:08:32,0,3,e7dc855e982975cbecdc966745b38d63.jpg,5.6,800,400,11:08:32
+1.0,2013-01-28,2013-01-28 12:40:47,1,1,53148ed54da67861a0982753a962d1ef.jpg,5.6,800,100,12:40:47
+1.0,2012-03-20,2012-03-20 12:32:24,0,3,4e974955542ccef741262388689ef9ab.jpg,5.6,800,400,12:32:24
+1.0,2012-04-03,2012-04-03 09:42:20,0,3,fdce4e2ec784a0013defe26b1371a06f.jpg,5.6,800,400,09:42:20
+1.0,2013-01-29,2013-01-29 16:25:35,1,1,bc83b705093da9de67ca9ac5ec99191d.jpg,5.6,800,400,16:25:35
+1.0,2013-01-28,2013-01-28 12:37:21,1,1,1269061bbec1756b6b35bbdf1b2e49bd.jpg,5.6,800,100,12:37:21
+1.0,2012-04-03,2012-04-03 12:35:49,0,3,2ca932702fa8d04ebe68cbbbaded2f43.jpg,5.6,800,400,12:35:49
+1.0,2013-01-28,2013-01-28 12:33:24,1,1,08aa706fcc6f2ea8c0acf81b0376fb6b.jpg,5.6,800,100,12:33:24
+1.0,2013-02-26,2013-02-26 12:12:30,1,1,9fde9ca85f9c176b1e720889806404a3.jpg,5.6,800,160,12:12:30
+1.0,2013-01-28,2013-01-28 12:42:46,1,1,2a04900c45a369cb2aff7747da6ea3c5.jpg,5.6,800,100,12:42:46
+1.0,2013-02-26,2013-02-26 12:04:38,1,1,860776b81157d5391eb191af32556f7b.jpg,5.6,800,160,12:04:38
+1.0,2012-04-03,2012-04-03 11:04:48,0,3,b64bd804ca4cb31951d0f80322edad4d.jpg,5.6,800,400,11:04:48
+1.0,2013-01-28,2013-01-28 12:40:01,1,1,95080e5db546dc2f6071cc943035b317.jpg,5.6,800,100,12:40:01
+1.0,2013-01-29,2013-01-29 16:29:44,1,1,6fac7974467d27cba6d266730e21480c.jpg,5.6,800,320,16:29:44
+1.0,2013-02-19,2013-02-19 16:28:27,1,1,713a664c718acd4f795a223fb0df804a.jpg,5.6,800,320,16:28:27
+1.0,2012-04-03,2012-04-03 09:37:42,0,3,925492e287f6fe1ea814ec712bce2cc7.jpg,5.6,800,400,09:37:42
+1.0,2013-02-20,2013-02-20 12:06:48,1,1,31b69cb7dff577cde24531ebd135a887.jpg,5.6,800,200,12:06:48
+1.0,2013-01-29,2013-01-29 12:34:06,1,1,e7f36a94144aa921b0bbd4fc1bf0a643.jpg,5.6,800,100,12:34:06
+1.0,2013-02-19,2013-02-19 16:32:08,1,1,14674f37a186d75b3d682037b0bbb008.jpg,5.6,800,320,16:32:08
+1.0,2012-04-03,2012-04-03 11:07:10,0,3,c0c25325f6d427869f3fae02224a57a3.jpg,5.6,800,400,11:07:10
+1.0,2013-02-26,2013-02-26 12:05:23,1,1,393bb13ad5878971b01588948e31366f.jpg,5.6,800,160,12:05:23
+1.0,2012-03-20,2012-03-20 12:34:38,0,3,31a2d248f870bd3549336699a9e0f028.jpg,5.6,800,400,12:34:38
+1.0,2012-03-22,2012-03-22 11:11:02,0,3,c40b0d045efdbfaa1283066452f2c24d.jpg,5.6,800,400,11:11:02
+1.0,2013-02-13,2013-02-13 12:14:01,1,1,e0bdfa8cc799aa36069124729b46fd3a.jpg,5.6,800,100,12:14:01
+1.0,2012-04-03,2012-04-03 11:04:45,0,3,b375ceecc003fee551c1f885ab89d174.jpg,5.6,800,400,11:04:45
+1.0,2012-03-20,2012-03-20 11:05:53,0,3,a73cee41b1a1705e14e5f5decf3550fd.jpg,5.6,800,400,11:05:53
+1.0,2012-04-24,2012-04-24 09:45:00,0,3,358a70e3f4eefe3b5743a82db13813dd.jpg,5.6,800,400,09:45:00
+1.0,2012-03-20,2012-03-20 12:30:21,0,3,ad641955eadec8bf4403bc2c8899dd0a.jpg,5.6,800,400,12:30:21
+1.0,2013-02-20,2013-02-20 12:04:30,1,1,9d99f2907c96001dc6b0aa78dfb997b8.jpg,5.6,800,200,12:04:30
+1.0,2012-04-17,2012-04-17 12:24:07,0,3,56624779c712e7262cd2f634d32d8848.jpg,5.6,800,400,12:24:07
+1.0,2013-02-19,2013-02-19 16:29:04,1,1,81a1f998b9c0e3e308c1637eef2585a8.jpg,5.6,800,320,16:29:04
+1.0,2012-03-22,2012-03-22 11:06:26,0,3,0628db61cd9b9c8047da2822b778c821.jpg,5.6,800,400,11:06:26
+1.0,2012-04-03,2012-04-03 09:36:52,0,3,80e986d1140d6859623241d5307537bf.jpg,5.6,800,400,09:36:52
+1.0,2013-02-26,2013-02-26 12:05:12,1,1,dfab0663c70b2d73f2874bb62ca5ddb9.jpg,5.6,800,160,12:05:12
+1.0,2012-03-20,2012-03-20 15:24:56,0,3,e063a25401c3dcbf1144590bc169dbbf.jpg,5.6,800,400,15:24:56
+1.0,2013-01-28,2013-01-28 12:41:22,1,1,6e161a07faf4b5bb9119fdbd8cc0dc0a.jpg,5.6,800,100,12:41:22
+1.0,2012-04-03,2012-04-03 09:41:01,0,3,b9452d7f9153e89c3deb64e81ac99730.jpg,5.6,800,400,09:41:01
+1.0,2012-03-20,2012-03-20 15:22:30,0,3,53b7aa33831bf59421e8968aa22a97e3.jpg,5.6,800,400,15:22:30
+1.0,2013-02-26,2013-02-26 12:18:02,1,1,e88b2b36d7f6d573bd266d95ed87ccc6.jpg,5.6,800,200,12:18:02
+1.0,2012-04-24,2012-04-24 09:48:33,0,3,26d20a7a2b2ab34de5a5197ebc1970e8.jpg,5.6,800,400,09:48:33
+1.0,2013-02-26,2013-02-26 12:04:53,1,1,bac8dc0743cca8da92a7f543a5a84bcb.jpg,5.6,800,160,12:04:53
+1.0,2013-01-28,2013-01-28 12:33:25,1,1,53d6df6dd58ffeefd454a23897d0fbc2.jpg,5.6,800,100,12:33:25
+1.0,2013-02-20,2013-02-20 12:21:39,1,1,f55ae96a3f439ca20e1bfcb41a2039af.jpg,5.6,800,100,12:21:39
+1.0,2013-01-29,2013-01-29 16:29:59,1,1,ed546ee2dde7fa65cb441b49057cfda7.jpg,5.6,800,400,16:29:59
+1.0,2013-02-26,2013-02-26 12:11:29,1,1,8634bed65262e3cd400b64b23369d68f.jpg,5.6,800,160,12:11:29
+1.0,2012-03-08,2012-03-08 14:54:44,0,3,7f989a0d95c4f0f7ac6d0302eb7e5659.jpg,5.6,800,400,14:54:44
+1.0,2012-03-13,2012-03-13 11:12:25,0,3,81f4ad6b455b9d0f15b35cdc8848388b.jpg,5.6,800,400,11:12:25
+1.0,2012-03-20,2012-03-20 15:23:36,0,3,02b89303e2900ae72e0bc0e06972f18c.jpg,5.6,800,400,15:23:36
+1.0,2012-03-20,2012-03-20 12:32:05,0,3,ac19de91846b6808ce05271dd186cbd1.jpg,5.6,800,400,12:32:05
+1.0,2012-03-13,2012-03-13 11:11:34,0,3,836c3c24edb8947ba32b5c59581c47a1.jpg,5.6,800,400,11:11:34
+1.0,2012-03-06,2012-03-06 13:31:40,0,3,859e36e8c730eb1a346724756387ec7b.jpg,5.6,800,400,13:31:40
+1.0,2013-01-28,2013-01-28 12:42:38,1,1,2bc522401df428f4fe18d08423e78458.jpg,5.6,800,100,12:42:38
+1.0,2013-02-20,2013-02-20 12:26:17,1,1,ae28c9e947c8b81e7b7be24b48b6bedf.jpg,5.6,800,100,12:26:17
+1.0,2013-01-29,2013-01-29 12:33:36,1,1,45a0f49f04a1bd929b6211b62d19b1a5.jpg,5.6,800,100,12:33:36
+1.0,2012-03-20,2012-03-20 09:42:05,0,3,592b4afee4c7a694297c68ab48b017e1.jpg,5.6,800,400,09:42:05
+1.0,2013-02-13,2013-02-13 13:30:29,1,1,5d5985927a0465cad85f19349a28af0f.jpg,5.6,800,125,13:30:29
+1.0,2012-04-03,2012-04-03 09:35:41,0,3,c045f45eb142fb16336f71b7ed30e3be.jpg,5.6,800,400,09:35:41
+1.0,2013-02-19,2013-02-19 16:23:34,1,1,b75b45856adb255fc893135300482851.jpg,5.6,800,320,16:23:34
+1.0,2012-03-20,2012-03-20 12:29:06,0,3,51487f8461a585dc106bfacb4e1e08c9.jpg,5.6,800,400,12:29:06
+1.0,2013-02-13,2013-02-13 12:48:58,1,1,a270a116d22cf22f6c9dacace77b7aaf.jpg,5.6,800,100,12:48:58
+1.0,2013-01-29,2013-01-29 16:30:29,1,1,3f24d63c642478c9b4b6d72a1891e1f3.jpg,5.6,800,320,16:30:29
+1.0,2012-03-20,2012-03-20 12:33:52,0,3,49587e37ec5f2ced9b23f386ac6d3ba4.jpg,5.6,800,400,12:33:52
+1.0,2013-01-29,2013-01-29 12:30:57,1,1,38f36533af6fa503d412d74e447188f0.jpg,5.6,800,100,12:30:57
+1.0,2012-04-03,2012-04-03 12:37:31,0,3,36d485017582075aef46985ca96b69e7.jpg,5.6,800,400,12:37:31
+1.0,2012-03-22,2012-03-22 11:04:51,0,3,05e729952fe0d22819f0f443e9b2e991.jpg,5.6,800,400,11:04:51
+1.0,2013-02-20,2013-02-20 12:11:08,1,1,f36b6de016b331113d5efd2b28f55dbc.jpg,5.6,800,160,12:11:08
+1.0,2013-02-26,2013-02-26 12:26:30,1,1,7372a3b7bf8c72b63831d6e5e05ff46b.jpg,5.6,800,200,12:26:30
+1.0,2013-01-29,2013-01-29 12:33:39,1,1,2e4071f6716f3ba0e5f3595fe15d68e2.jpg,5.6,800,100,12:33:39
+1.0,2013-01-29,2013-01-29 16:28:40,1,1,b3549a872b40bc913d090c13e9041670.jpg,5.6,800,320,16:28:40
+1.0,2013-01-29,2013-01-29 16:32:56,1,1,97b25b497f9b5147ce25a1a11a911b97.jpg,5.6,800,400,16:32:56
+1.0,2013-01-29,2013-01-29 12:17:52,1,1,6ac3c6cb79edde19dcbe04013ee5cf1e.jpg,5.6,800,100,12:17:52
+1.0,2013-01-28,2013-01-28 12:38:41,1,1,e4c3b0f8516dd1e37c6c06a7a81502cc.jpg,5.6,800,100,12:38:41
+1.0,2013-01-29,2013-01-29 16:22:43,1,1,c5b7e3472bd13bee2c9957ba3a82eae8.jpg,5.6,800,500,16:22:43
+1.0,2013-01-28,2013-01-28 12:33:05,1,1,5c80b92a6a48aa7dccb63cf719fa5005.jpg,5.6,800,100,12:33:05
+1.0,2013-01-28,2013-01-28 12:41:24,1,1,9137e07206f4b2b2fa13a5a0db2ed329.jpg,5.6,800,100,12:41:24
+1.0,2012-03-22,2012-03-22 11:06:43,0,3,fc5bbb536d9da7aaf316ddc0169d13b8.jpg,5.6,800,400,11:06:43
+1.0,2012-04-03,2012-04-03 09:35:38,0,3,573efc333ef29d409719ec7b74762be5.jpg,5.6,800,400,09:35:38
+1.0,2013-01-29,2013-01-29 12:21:05,1,1,31d6ac28ba675ab588ba35a490cb23c5.jpg,5.6,800,100,12:21:05
+1.0,2013-02-13,2013-02-13 13:15:12,1,1,2d8cd78afbe41294673586f767562d89.jpg,5.6,800,100,13:15:12
+1.0,2013-02-26,2013-02-26 12:18:04,1,1,9f356f91922d25a266f3dcda68853c86.jpg,5.6,800,200,12:18:04
+1.0,2013-01-28,2013-01-28 12:36:16,1,1,ccc75fe821b9cecb2739fb0cbbfaa7cf.jpg,5.6,800,100,12:36:16
+1.0,2013-01-28,2013-01-28 12:40:27,1,1,98a219d69758b132aa130621872df22a.jpg,5.6,800,100,12:40:27
+1.0,2013-01-28,2013-01-28 12:42:13,1,1,13489fcaaf6efa4a914886f1f6b3da61.jpg,5.6,800,100,12:42:13
+1.0,2012-03-06,2012-03-06 13:28:28,0,3,d5dfd27d45488c92bd92fd626905b35f.jpg,5.6,800,400,13:28:28
+1.0,2013-01-29,2013-01-29 12:10:14,1,1,be39daea31fba2497bb3c4af98b5b9d6.jpg,5.6,800,100,12:10:14
+1.0,2012-04-03,2012-04-03 09:39:51,0,3,5b8bd68b9326764d9020b8d8ec723f0b.jpg,5.6,800,400,09:39:51
+1.0,2012-03-20,2012-03-20 12:28:37,0,3,f97e4cf32211052f89bdfce92daa7cb7.jpg,5.6,800,400,12:28:37
+1.0,2013-02-20,2013-02-20 14:13:25,1,1,617cc7f5ef407f79c558c0abc133eae9.jpg,5.6,800,200,14:13:25
+1.0,2013-01-28,2013-01-28 12:38:15,1,1,ec7d5d233f0b616d3b19aa18a0031b46.jpg,5.6,800,100,12:38:15
+1.0,2012-03-08,2012-03-08 10:46:28,0,3,c615c7dfb44f24f9eb2dfa7a49e33b6f.jpg,5.6,800,400,10:46:28
+1.0,2013-01-29,2013-01-29 12:33:48,1,1,45f5eb9ae6e2a58d6fdaa88677b44946.jpg,5.6,800,100,12:33:48
+1.0,2012-03-20,2012-03-20 09:41:12,0,3,50e3d9ff216375059ae67bcd7fa6e8c7.jpg,5.6,800,400,09:41:12
+1.0,2013-01-29,2013-01-29 12:25:12,1,1,195612a38d9d1176909176b2cb309b4a.jpg,5.6,800,100,12:25:12
+1.0,2012-03-20,2012-03-20 13:56:56,0,3,71929d9bc1ee58fb4249a7c0c041705b.jpg,5.6,800,400,13:56:56
+1.0,2013-02-20,2013-02-20 12:07:01,1,1,c5b36f23feac6f751591a10fbe789ce4.jpg,5.6,800,200,12:07:01
+1.0,2013-02-26,2013-02-26 12:04:17,1,1,8e0789ea8633c7ed5ed1b7558e5f154c.jpg,5.6,800,160,12:04:17
+1.0,2013-02-26,2013-02-26 12:43:35,1,1,3efe285d4ab626688eb652e0da5de6c8.jpg,5.6,800,200,12:43:35
+1.0,2012-03-22,2012-03-22 11:08:27,0,3,b5ba82b83b58d8e943a716c6842e0b5b.jpg,5.6,800,400,11:08:27
+1.0,2012-04-03,2012-04-03 12:30:41,0,3,331143febbeb1e938d253b1c6a5c2674.jpg,5.6,800,400,12:30:41
+1.0,2013-01-29,2013-01-29 12:25:40,1,1,6d7a9f62360fe10fbc45c4f08fee83e3.jpg,5.6,800,100,12:25:40
+1.0,2013-01-28,2013-01-28 12:36:10,1,1,4cfa1ed26bf950c5c68e6c24c6c873d0.jpg,5.6,800,100,12:36:10
+1.0,2013-02-19,2013-02-19 16:18:51,1,1,6c4f647c4c0afd004b195c415e287ca9.jpg,5.6,800,320,16:18:51
+1.0,2012-03-08,2012-03-08 12:12:12,0,3,61f3faddf6c2eccf150a3e38fba230b1.jpg,5.6,800,400,12:12:12
+1.0,2013-01-29,2013-01-29 12:14:35,1,1,6ed5c199ef1b17b716bef87d7d529d70.jpg,5.6,800,100,12:14:35
+1.0,2012-04-03,2012-04-03 11:10:21,0,3,9cbb44a6ec79e1984f06f1bca18e1373.jpg,5.6,800,400,11:10:21
+1.0,2013-02-13,2013-02-13 13:14:00,1,1,0b5ced988972b53ce391f3f1ec9b5afa.jpg,5.6,800,100,13:14:00
+1.0,2012-03-20,2012-03-20 11:04:32,0,3,db4166d659a54253cc39c04daf43926c.jpg,5.6,800,400,11:04:32
+1.0,2013-02-26,2013-02-26 12:15:40,1,1,bc6becfcf321076be4fbf57c49ba12d1.jpg,5.6,800,200,12:15:40
+1.0,2012-03-08,2012-03-08 12:13:20,0,3,6e539c359bccc7527ce5688d622b7d54.jpg,5.6,800,400,12:13:20
+1.0,2013-01-29,2013-01-29 12:27:54,1,1,e372f981252f256f7cb3b86d4afcef4c.jpg,5.6,800,100,12:27:54
+1.0,2012-03-08,2012-03-08 10:48:13,0,3,aa849dd45c0bad3bc579f0fb902837d8.jpg,5.6,800,400,10:48:13
+1.0,2012-04-03,2012-04-03 09:36:24,0,3,ca69d2e8413dfaada7c52bb5d523ec59.jpg,5.6,800,400,09:36:24
+1.0,2013-02-26,2013-02-26 12:07:15,1,1,94bfc130143b02af128fe552f19af949.jpg,5.6,800,200,12:07:15
+1.0,2013-01-29,2013-01-29 16:27:38,1,1,dfac47d28f43869cd55ba54cddf63c75.jpg,5.6,800,250,16:27:38
+1.0,2012-03-20,2012-03-20 12:32:43,0,3,115512d27f85a7811e99d978928cc401.jpg,5.6,800,400,12:32:43
+1.0,2013-01-29,2013-01-29 12:10:33,1,1,62e3e06587369129647a2c323c2e4257.jpg,5.6,800,100,12:10:33
+1.0,2012-04-03,2012-04-03 09:36:36,0,3,e13df4768388a7f3da794259e84937dd.jpg,5.6,800,400,09:36:36
+1.0,2013-02-13,2013-02-13 13:22:39,1,1,d768afd5bebdec6fa9068cdf63943abd.jpg,5.6,800,100,13:22:39
+1.0,2013-02-19,2013-02-19 16:16:03,1,1,471b82f4bc3e9cc5c42c54d888048457.jpg,5.6,800,400,16:16:03
+1.0,2013-01-29,2013-01-29 12:10:48,1,1,3790264d208ca20aa6300c4104ec05f4.jpg,5.6,800,100,12:10:48
+1.0,2012-04-03,2012-04-03 11:05:20,0,3,bb4f743ebb5a09acf1dca3330121bed9.jpg,5.6,800,400,11:05:20
+1.0,2013-02-19,2013-02-19 16:33:58,1,1,78fee9f08f6caf712752b5c3a72ba8ce.jpg,5.6,800,400,16:33:58
+1.0,2013-01-29,2013-01-29 12:33:38,1,1,1df0201e911e1a1dbf8535190c92a8fc.jpg,5.6,800,100,12:33:38
+1.0,2013-02-20,2013-02-20 12:24:42,1,1,32892f94dc248f6855c6cede1fec78f6.jpg,5.6,800,100,12:24:42
+1.0,2013-02-20,2013-02-20 12:22:25,1,1,7124e16d8cbd8edfe58f04b884c19fba.jpg,5.6,800,100,12:22:25
+1.0,2012-03-13,2012-03-13 11:12:23,0,3,115eaf230bf36453ab3ac2d31e8c9181.jpg,5.6,800,400,11:12:23
+1.0,2013-02-13,2013-02-13 12:20:13,1,1,166cf0c8f1d05e0e129595dc81da8ca7.jpg,5.6,800,100,12:20:13
+1.0,2013-01-29,2013-01-29 12:17:51,1,1,f178bd650574d2eb17a968342d3ab1a7.jpg,5.6,800,100,12:17:51
+1.0,2012-03-20,2012-03-20 09:41:29,0,3,0fe91f9505e7102e5be292999dcd7c6e.jpg,5.6,800,400,09:41:29
+1.0,2012-03-20,2012-03-20 09:47:08,0,3,7d34fb47f51a2b6d353f898c5e6bd6ca.jpg,5.6,800,400,09:47:08
+1.0,2013-01-28,2013-01-28 12:42:49,1,1,91e5c688837d59295c6c0a37c4109866.jpg,5.6,800,100,12:42:49
+1.0,2012-03-08,2012-03-08 10:46:01,0,3,e7f7de9f6b52840e89d3a139d3e1ed76.jpg,5.6,800,400,10:46:01
+1.0,2012-03-20,2012-03-20 12:36:01,0,3,a94852a8e4088d13b4f731e0093db85b.jpg,5.6,800,400,12:36:01
+1.0,2012-04-03,2012-04-03 09:44:32,0,3,0806b4790f62d2a5f42c51fc683b8b2d.jpg,5.6,800,400,09:44:32
+1.0,2013-01-28,2013-01-28 12:37:19,1,1,490c3beea8c5207ccf3455b0f7076f52.jpg,5.6,800,100,12:37:19
+1.0,2013-01-28,2013-01-28 12:38:10,1,1,aba79776b18daed1aa12ed420b22a891.jpg,5.6,800,100,12:38:10
+1.0,2012-03-20,2012-03-20 11:08:42,0,3,8012c04b77eeed4ee0f421feeb5aae23.jpg,5.6,800,400,11:08:42
+1.0,2013-02-20,2013-02-20 12:24:19,1,1,3d3954e28dc1227985e622470350b4fd.jpg,5.6,800,100,12:24:19
+1.0,2012-03-20,2012-03-20 12:32:45,0,3,f4f1c38023b31675573c00ee082b36ec.jpg,5.6,800,400,12:32:45
+1.0,2013-02-19,2013-02-19 16:19:33,1,1,6381da4ca2d5500faeca402232f38bd4.jpg,5.6,800,320,16:19:33
+1.0,2013-01-29,2013-01-29 12:10:59,1,1,c1d17c1d829a68f5ae2eee7f75ea6795.jpg,5.6,800,100,12:10:59
+1.0,2013-02-20,2013-02-20 12:25:59,1,1,b466e5dd1a93024bcad75b3e62d6463d.jpg,5.6,800,100,12:25:59
+1.0,2013-01-28,2013-01-28 12:42:28,1,1,bc6c19491352a93ff5b2ddd1d88b09a9.jpg,5.6,800,100,12:42:28
+1.0,2013-02-26,2013-02-26 12:08:27,1,1,5008f5c00b94a6b0be8eabb1ec16fb45.jpg,5.6,800,200,12:08:27
+1.0,2013-02-20,2013-02-20 12:01:39,1,1,efa4ff766bea7e3cd0be3f9afe69d420.jpg,5.6,800,160,12:01:39
+1.0,2012-03-08,2012-03-08 10:46:37,0,3,9d67c43e0d3ef46bca798a6000b3ed46.jpg,5.6,800,400,10:46:37
+1.0,2013-02-26,2013-02-26 12:09:54,1,1,030179b3198dedb8e6cd5b9bd64adf2e.jpg,5.6,800,200,12:09:54
+1.0,2012-04-03,2012-04-03 09:42:22,0,3,e457aad1e02c053abc4505b197e1b0d2.jpg,5.6,800,400,09:42:22
+1.0,2013-01-28,2013-01-28 12:38:45,1,1,043b93753771b4c7eb92301b71ac0054.jpg,5.6,800,100,12:38:45
+1.0,2013-02-19,2013-02-19 16:27:23,1,1,81c7c05e1c20eb8c38600b4a50b40aed.jpg,5.6,800,320,16:27:23
+1.0,2013-02-26,2013-02-26 12:23:27,1,1,57468dc0f7eba7cc00201976de5ec7a9.jpg,5.6,800,200,12:23:27
+1.0,2013-01-28,2013-01-28 12:34:15,1,1,d6d799ec90cce2d6aa6070769f22dc1d.jpg,5.6,800,100,12:34:15
+1.0,2013-02-26,2013-02-26 12:03:39,1,1,6c32a990172de407b687c78a2460ce87.jpg,5.6,800,160,12:03:39
+1.0,2012-03-08,2012-03-08 10:48:21,0,3,2fd34d090617470ddce3cf7a30a4abc3.jpg,5.6,800,400,10:48:21
+1.0,2012-03-22,2012-03-22 11:11:21,0,3,6b55f7fe3467f0c79e4d2a51e32d5c5c.jpg,5.6,800,400,11:11:21
+1.0,2013-01-28,2013-01-28 12:38:42,1,1,d8fbff7a77904290fa76bb48a0986e25.jpg,5.6,800,100,12:38:42
+1.0,2013-02-20,2013-02-20 12:04:36,1,1,0917cc58ad6d01aaf793bb25d01a7355.jpg,5.6,800,160,12:04:36
+1.0,2013-02-19,2013-02-19 16:33:51,1,1,94a413a1b02034650baa1dc11f1bcdbf.jpg,5.6,800,320,16:33:51
+1.0,2012-04-03,2012-04-03 09:37:58,0,3,fe54fef8b9703130151dbb9c6e345c0f.jpg,5.6,800,400,09:37:58
+1.0,2012-04-03,2012-04-03 11:10:45,0,3,1f1383a6b7b7fe435d7bd951b8973195.jpg,5.6,800,400,11:10:45
+1.0,2013-01-29,2013-01-29 12:07:31,1,1,8929da6a81e61bf68a6729bf9b5555cf.jpg,5.6,800,100,12:07:31
+1.0,2012-03-20,2012-03-20 13:56:01,0,3,ff6ea109bcbea69d4c9b58eae1763008.jpg,5.6,800,400,13:56:01
+1.0,2013-01-28,2013-01-28 12:33:08,1,1,e63ecf739054f19c15d0579795ca698a.jpg,5.6,800,100,12:33:08
+1.0,2012-03-08,2012-03-08 12:10:24,0,3,3fd627d876fb37ce2894d261c68f1a9d.jpg,5.6,800,400,12:10:24
+1.0,2013-01-29,2013-01-29 16:32:31,1,1,251b5e42823b7386ec7310bddad251ef.jpg,5.6,800,400,16:32:31
+1.0,2013-02-20,2013-02-20 12:43:18,1,1,29d6c0e5170904d068346d7ad9c86742.jpg,5.6,800,100,12:43:18
+1.0,2013-01-29,2013-01-29 16:30:28,1,1,2c4526622c7122ed7553351ad797e521.jpg,5.6,800,250,16:30:28
+1.0,2013-02-20,2013-02-20 12:44:20,1,1,85f949245531636266c48e0e0193b6a1.jpg,5.6,800,100,12:44:20
+1.0,2013-02-13,2013-02-13 13:18:05,1,1,94b3f1d3a67271b4b1cee20e65dbff94.jpg,5.6,800,100,13:18:05
+1.0,2013-02-19,2013-02-19 16:14:25,1,1,d76332371cc2e7c784291b01e392e3eb.jpg,5.6,800,400,16:14:25
+1.0,2012-03-20,2012-03-20 13:58:52,0,3,56c90dc82ae8c02cce1333fad79ecef9.jpg,5.6,800,400,13:58:52
+1.0,2013-01-29,2013-01-29 16:22:17,1,1,bcfdc61e1a23b5233ba56fda1d8415e0.jpg,5.6,800,400,16:22:17
+1.0,2013-02-13,2013-02-13 12:59:45,1,1,15841fb8ea28b8b76836832cbea6394f.jpg,5.6,800,100,12:59:45
+1.0,2013-02-13,2013-02-13 13:27:39,1,1,e988ef7afb493ba72f922562fbb6a838.jpg,5.6,800,100,13:27:39
+1.0,2013-01-28,2013-01-28 12:38:38,1,1,88c32dcaec1a69d508428d29b9872eb1.jpg,5.6,800,100,12:38:38
+1.0,2012-03-20,2012-03-20 13:58:03,0,3,1e9146391de907b80d1cf77b894fb668.jpg,5.6,800,400,13:58:03
+1.0,2013-02-20,2013-02-20 12:22:54,1,1,4fd74ffed0ae921e686fb67e24a15a2d.jpg,5.6,800,100,12:22:54
+1.0,2013-01-28,2013-01-28 12:38:53,1,1,85be21ddf7a10087fa4518398c198011.jpg,5.6,800,100,12:38:53
+1.0,2013-02-26,2013-02-26 12:04:56,1,1,df3910cd57bd77204b57c136848b2b0f.jpg,5.6,800,160,12:04:56
+1.0,2012-03-20,2012-03-20 11:08:18,0,3,900f532efaf4715c32c98a03ce29b8a1.jpg,5.6,800,400,11:08:18
+1.0,2012-04-03,2012-04-03 09:35:37,0,3,11c4babe0935f015e558405e885b7a55.jpg,5.6,800,400,09:35:37
+1.0,2013-02-20,2013-02-20 12:05:41,1,1,e0db3052bd4eb19700f5ded815dfdc09.jpg,5.6,800,200,12:05:41
+1.0,2012-03-06,2012-03-06 13:29:48,0,3,6a30b8f7d1297561df6c07604fab04cc.jpg,5.6,800,400,13:29:48
+1.0,2013-02-26,2013-02-26 12:33:02,1,1,e6f894d97a888aea7eebc12a1436fd15.jpg,5.6,800,200,12:33:02
+1.0,2013-02-20,2013-02-20 12:19:25,1,1,9fdb06c5b5434d81353d3bacb0aad10a.jpg,5.6,800,100,12:19:25
+1.0,2013-02-26,2013-02-26 12:14:25,1,1,146c23893c09f4b8594bc4180d72b272.jpg,5.6,800,200,12:14:25
+1.0,2013-02-19,2013-02-19 16:31:13,1,1,07d8d878a0eb7c76cb2da2b3c1192eab.jpg,5.6,800,320,16:31:13
+1.0,2012-03-06,2012-03-06 13:30:18,0,3,733c77dbd374fba0745a84a9ecae32cb.jpg,5.6,800,400,13:30:18
+1.0,2013-01-29,2013-01-29 16:21:15,1,1,c29ae3dbd53bfc5f9056591c58dd14f2.jpg,5.6,800,200,16:21:15
+1.0,2012-04-03,2012-04-03 09:44:00,0,3,1070a3354faf6a343e6b40f08a997ded.jpg,5.6,800,400,09:44:00
+1.0,2013-01-29,2013-01-29 16:30:06,1,1,fa81990e7f72f450147db3d769e2e190.jpg,5.6,800,500,16:30:06
+1.0,2013-02-20,2013-02-20 12:13:43,1,1,99f1753b03a4d7217084f1bd653a6542.jpg,5.6,800,160,12:13:43
+1.0,2013-02-20,2013-02-20 14:13:23,1,1,2f2360d43bbe380c0c7e4d866b47b85d.jpg,5.6,800,200,14:13:23
+1.0,2013-02-19,2013-02-19 16:25:20,1,1,fa3b4d7634176e30534960d21599faa4.jpg,5.6,800,320,16:25:20
+1.0,2012-03-20,2012-03-20 12:31:25,0,3,f61c6ebf58076d8596099fa94fa2f74e.jpg,5.6,800,400,12:31:25
+1.0,2012-03-20,2012-03-20 12:35:11,0,3,7764a9a28758b1b45435e168a51ea8ee.jpg,5.6,800,400,12:35:11
+1.0,2012-03-20,2012-03-20 09:42:24,0,3,0a804ce735f05244292d156979f39b5c.jpg,5.6,800,400,09:42:24
+1.0,2013-01-28,2013-01-28 12:34:00,1,1,4665611650e42fd92d6c61347df4eb7d.jpg,5.6,800,100,12:34:00
+1.0,2013-01-29,2013-01-29 12:11:45,1,1,6cf296989525058b053363151fceabc8.jpg,5.6,800,100,12:11:45
+1.0,2013-02-20,2013-02-20 12:17:24,1,1,22705544ab0a279ba9320293c0f3b395.jpg,5.6,800,100,12:17:24
+1.0,2013-02-26,2013-02-26 12:18:01,1,1,de55d6080f8e3b27a5a2b18ccc3af1fa.jpg,5.6,800,200,12:18:01
+1.0,2013-02-20,2013-02-20 12:04:53,1,1,49787f80828fc9cd58b151c6fd1f0b1b.jpg,5.6,800,200,12:04:53
+1.0,2012-03-20,2012-03-20 09:41:28,0,3,a2a9535e3d1736f48a8a73f5daf09906.jpg,5.6,800,400,09:41:28
+1.0,2012-02-23,2012-02-23 14:58:28,0,3,63d67f7c54f088b5880a1a98d54dbac3.jpg,5.6,800,400,14:58:28
+1.0,2012-03-20,2012-03-20 11:06:30,0,3,3a0df3dafef0ea097d408bdbd2eacdaa.jpg,5.6,800,400,11:06:30
+1.0,2013-01-29,2013-01-29 12:33:39,1,1,be41bea398372677dc69c19f52983b94.jpg,5.6,800,100,12:33:39
+1.0,2013-02-20,2013-02-20 12:09:35,1,1,df3b94c812b3a79443622a7f8c128728.jpg,5.6,800,160,12:09:35
+1.0,2013-02-20,2013-02-20 12:13:31,1,1,b4f9c49b714ba829433ad321da480c98.jpg,5.6,800,200,12:13:31
+1.0,2013-01-29,2013-01-29 12:19:53,1,1,5ac8713cbbed5b247f745241a7d5f6fb.jpg,5.6,800,100,12:19:53
+1.0,2013-01-29,2013-01-29 12:12:48,1,1,8677225aa9f75dc6473e734b629b47fa.jpg,5.6,800,100,12:12:48
+1.0,2012-04-17,2012-04-17 12:30:51,0,3,f16a1061092083e453a229a6e1a13233.jpg,5.6,800,400,12:30:51
+1.0,2012-04-03,2012-04-03 11:09:30,0,3,50f70f090b7922ce5647bb4dde59e822.jpg,5.6,800,400,11:09:30
+1.0,2012-03-06,2012-03-06 13:29:24,0,3,fdac6262cf4b3e61ee4f78e799953f43.jpg,5.6,800,400,13:29:24
+1.0,2012-03-08,2012-03-08 15:01:05,0,3,31eb22cc857343a58adbe8f9e551dfd7.jpg,5.6,800,400,15:01:05
+1.0,2012-03-20,2012-03-20 15:23:37,0,3,b7c3bae0f04fecfae0dca1c1eddd61b9.jpg,5.6,800,400,15:23:37
+1.0,2013-02-20,2013-02-20 12:17:41,1,1,53ec5d06049c81ead36dd5d01a724469.jpg,5.6,800,100,12:17:41
+1.0,2013-02-13,2013-02-13 12:02:03,1,1,4cbd9717093a25e6ee46a960e9d32b53.jpg,5.6,800,100,12:02:03
+1.0,2013-01-28,2013-01-28 12:40:50,1,1,c2e7e81e5dd8b4a0b65e1d30ae0f3671.jpg,5.6,800,100,12:40:50
+1.0,2013-02-26,2013-02-26 12:09:55,1,1,8477501477fd7594aa885de28c3ef4e0.jpg,5.6,800,200,12:09:55
+1.0,2013-01-29,2013-01-29 12:17:52,1,1,1d0a86d20d40120bb553b2caaf4b89dd.jpg,5.6,800,100,12:17:52
+1.0,2013-01-29,2013-01-29 12:31:00,1,1,c0d6970cb240eeb5a854e33bcb69f302.jpg,5.6,800,100,12:31:00
+1.0,2012-03-08,2012-03-08 10:47:33,0,3,7299e84dd4e221ccf349a70aaa9380c4.jpg,5.6,800,400,10:47:33
+1.0,2012-03-20,2012-03-20 12:33:01,0,3,59cc286736adf9f27a13ed152a4cb125.jpg,5.6,800,400,12:33:01
+1.0,2013-02-13,2013-02-13 12:54:00,1,1,9d67c85901d164ebd36e695f56533206.jpg,5.6,800,100,12:54:00
+1.0,2013-02-19,2013-02-19 16:31:07,1,1,6b86fb7530091fb361994d69390801bb.jpg,5.6,800,320,16:31:07
+1.0,2013-01-28,2013-01-28 12:38:17,1,1,d4fc3ddebd1c8478df70e7136075c046.jpg,5.6,800,100,12:38:17
+1.0,2013-02-19,2013-02-19 16:18:33,1,1,6fa9c46b5d78ce6172f144497f730e57.jpg,5.6,800,320,16:18:33
+1.0,2012-03-22,2012-03-22 13:58:30,0,3,94f6816809d1ad0b3fd702c8b0a24fe1.jpg,5.6,800,400,13:58:30
+1.0,2013-02-13,2013-02-13 13:06:52,1,1,032c412f7825a7990bc0ea9ffc3e2f47.jpg,5.6,800,100,13:06:52
+1.0,2013-02-19,2013-02-19 16:26:41,1,1,7118a183e943d0ff436904ad8c338e65.jpg,5.6,800,400,16:26:41
+1.0,2012-04-03,2012-04-03 09:36:21,0,3,7d5f1dc41f53f45ade2c775c5659136b.jpg,5.6,800,400,09:36:21
+1.0,2013-02-19,2013-02-19 16:26:21,1,1,e29a4cf55ed08c3662b2e8afdc791dab.jpg,5.6,800,320,16:26:21
+1.0,2013-02-19,2013-02-19 16:26:34,1,1,91e06fdf204080aa0ae126a1eb4bf632.jpg,5.6,800,400,16:26:34
+1.0,2012-04-03,2012-04-03 11:11:48,0,3,0977a0c27c1ef6e40d5f77308a55fe7d.jpg,5.6,800,400,11:11:48
+1.0,2013-02-26,2013-02-26 12:42:06,1,1,401c3f3957becba779a4fc47aeae0173.jpg,5.6,800,200,12:42:06
+1.0,2012-03-20,2012-03-20 12:35:08,0,3,552630ede72d9daa4bf55cb1f0a5b318.jpg,5.6,800,400,12:35:08
+1.0,2013-02-26,2013-02-26 12:16:18,1,1,851be73fc2ef6bf3e8ef77974f8d332e.jpg,5.6,800,200,12:16:18
+1.0,2013-01-29,2013-01-29 12:08:30,1,1,6523dfa0ee44b630161f07e667582f94.jpg,5.6,800,100,12:08:30
+1.0,2012-04-24,2012-04-24 09:44:25,0,3,29baba14d660129f502c7c3374485b61.jpg,5.6,800,400,09:44:25
+1.0,2013-01-29,2013-01-29 12:08:39,1,1,eb054e6ea7b62976763fc635f4230c70.jpg,5.6,800,100,12:08:39
+1.0,2013-02-13,2013-02-13 12:18:05,1,1,13a34b50fe387363d66e8d6f5f41b6a8.jpg,5.6,800,100,12:18:05
+1.0,2012-04-03,2012-04-03 11:12:17,0,3,5d8967e8772cfeebcc677ea04aec5da4.jpg,5.6,800,400,11:12:17
+1.0,2013-01-29,2013-01-29 16:28:40,1,1,af9f27aafe5686436ea509cea2dfcde6.jpg,5.6,800,320,16:28:40
+1.0,2012-04-03,2012-04-03 11:12:55,0,3,0b273dffc42186843bff0681cd30bf83.jpg,5.6,800,400,11:12:55
+1.0,2012-03-20,2012-03-20 15:24:14,0,3,b1cfb76f3f8ff651d1ba6c07580715d0.jpg,5.6,800,400,15:24:14
+1.0,2013-02-26,2013-02-26 12:19:04,1,1,e083e9a50fc3a86a98c047ab3e31dd34.jpg,5.6,800,200,12:19:04
+1.0,2012-04-03,2012-04-03 11:04:31,0,3,af8667d7b21e002ca3ca6761e6dc25dc.jpg,5.6,800,400,11:04:31
+1.0,2013-01-29,2013-01-29 12:34:16,1,1,49641c6ce2c617598bac94ae49c1f135.jpg,5.6,800,100,12:34:16
+1.0,2012-03-20,2012-03-20 15:23:02,0,3,ef58224313fe46e0434405ade0997eb3.jpg,5.6,800,400,15:23:02
+1.0,2012-03-08,2012-03-08 12:10:09,0,3,756889d3e5e939b8508cc9a6d1552acd.jpg,5.6,800,400,12:10:09
+1.0,2013-02-20,2013-02-20 12:06:30,1,1,ea69af04063d232eb408fde983720f37.jpg,5.6,800,160,12:06:30
+1.0,2013-01-29,2013-01-29 12:18:02,1,1,567fb6e8da3dc02e9dad3a8ec0a38c79.jpg,5.6,800,100,12:18:02
+1.0,2012-03-20,2012-03-20 12:36:54,0,3,0a537679b8a0439dc2c55a7c8189cd24.jpg,5.6,800,400,12:36:54
+1.0,2013-01-28,2013-01-28 12:41:25,1,1,aba5c0d2f8b6e3b83b3da40866f9c499.jpg,5.6,800,100,12:41:25
+1.0,2012-04-03,2012-04-03 09:44:19,0,3,8e85f8172d34b3ac46a1a48a25b9a83c.jpg,5.6,800,400,09:44:19
+1.0,2012-03-20,2012-03-20 09:44:52,0,3,c2e9c2bd42992b0715cafe415591a433.jpg,5.6,800,400,09:44:52
+1.0,2013-01-29,2013-01-29 12:14:35,1,1,4d5272f3b918f02ee3e4f7f379f325bc.jpg,5.6,800,100,12:14:35
+1.0,2013-02-20,2013-02-20 12:06:42,1,1,5cbc673982114ef437e09c56271fc451.jpg,5.6,800,160,12:06:42
+1.0,2013-02-19,2013-02-19 16:27:52,1,1,b3febb50dee19cef095e451f812e1dbf.jpg,5.6,800,320,16:27:52
+1.0,2012-03-20,2012-03-20 11:09:18,0,3,6a4c6d9723e7edbb5f37fbb087edc9d8.jpg,5.6,800,400,11:09:18
+1.0,2013-02-19,2013-02-19 16:19:55,1,1,0cf8b0c4503d47ef2c0a3595ef74a387.jpg,5.6,800,320,16:19:55
+1.0,2013-02-26,2013-02-26 12:09:50,1,1,60a74d3965aaea588d1d1b10199b59cf.jpg,5.6,800,200,12:09:50
+1.0,2013-01-29,2013-01-29 12:19:02,1,1,47465c2fd2a4587b7bea9a165b9e28a4.jpg,5.6,800,100,12:19:02
+1.0,2013-02-13,2013-02-13 12:21:29,1,1,8d1f3cf4c297a996a8bd6fd8efb49d36.jpg,5.6,800,100,12:21:29
+1.0,2013-01-29,2013-01-29 12:27:55,1,1,6d756c1cff45aa3108dfa53945d09a26.jpg,5.6,800,100,12:27:55
+1.0,2012-03-20,2012-03-20 15:22:22,0,3,94cf6b5bcd087dfd907c44ca14d71b09.jpg,5.6,800,400,15:22:22
+1.0,2013-02-13,2013-02-13 13:07:13,1,1,adaadff411f65a4784cce2c36f487609.jpg,5.6,800,100,13:07:13
+1.0,2013-01-29,2013-01-29 16:34:31,1,1,c8e526b787256514818ce7ad6aaa61c0.jpg,5.6,800,320,16:34:31
+1.0,2012-04-03,2012-04-03 11:09:25,0,3,d6b944b2bb8d71bbef5b114f517aaec0.jpg,5.6,800,400,11:09:25
+1.0,2013-01-29,2013-01-29 12:33:42,1,1,b6169271e7a7110fbaff5c737f3ebe11.jpg,5.6,800,100,12:33:42
+1.0,2012-03-22,2012-03-22 11:11:29,0,3,2dbc2eebb0ffff0ee169a2d41ef547d5.jpg,5.6,800,400,11:11:29
+1.0,2012-04-03,2012-04-03 09:36:36,0,3,55d36f862118142e55efd2aa89de8ff7.jpg,5.6,800,400,09:36:36
+1.0,2012-03-20,2012-03-20 12:35:15,0,3,89da64cdc6f65b8de022213b8af622c5.jpg,5.6,800,400,12:35:15
+1.0,2012-04-03,2012-04-03 11:05:09,0,3,383b05aaec49db3379fab6e4e8ea08bc.jpg,5.6,800,400,11:05:09
+1.0,2012-04-03,2012-04-03 12:26:46,0,3,fe990cb540e90432746aa3f5a9d52357.jpg,5.6,800,400,12:26:46
+1.0,2013-02-20,2013-02-20 12:19:44,1,1,c495daf782ad31c3b1787b52831276c5.jpg,5.6,800,100,12:19:44
+1.0,2012-03-22,2012-03-22 11:10:57,0,3,e3cc434bcdc49192a47a5b8e9a0b86be.jpg,5.6,800,400,11:10:57
+1.0,2013-02-26,2013-02-26 12:28:37,1,1,765b13dcfcc1a4d2a18151b9ba51de28.jpg,5.6,800,200,12:28:37
+1.0,2012-04-03,2012-04-03 09:43:56,0,3,eaef0af8751126b0541517079d63ddb1.jpg,5.6,800,400,09:43:56
+1.0,2012-03-20,2012-03-20 12:32:14,0,3,ab16acb9c9de0dd2f5de817f429cfec2.jpg,5.6,800,400,12:32:14
+1.0,2013-02-20,2013-02-20 12:01:54,1,1,44d76ff04b4a8404513c719314c1dae9.jpg,5.6,800,160,12:01:54
+1.0,2012-03-20,2012-03-20 12:31:24,0,3,e6c6fbe7955521141d9be87e69b693f2.jpg,5.6,800,400,12:31:24
+1.0,2012-04-03,2012-04-03 11:09:27,0,3,09559b52bee5ba5ccbc07f84799f59b6.jpg,5.6,800,400,11:09:27
+1.0,2012-02-23,2012-02-23 14:57:36,0,3,937db5564472f4b1dfd5ee0df722ebd2.jpg,5.6,800,400,14:57:36
+1.0,2012-04-17,2012-04-17 12:29:40,0,3,a33a02b7b9e5ef1d9428d441f9ffda02.jpg,5.6,800,400,12:29:40
+1.0,2012-04-03,2012-04-03 11:09:22,0,3,d4baf0da599b9236e0861a9f2f9719ce.jpg,5.6,800,400,11:09:22
+1.0,2012-03-20,2012-03-20 09:43:43,0,3,187ac76764af68d93a2f0a5e2e12a385.jpg,5.6,800,400,09:43:43
+1.0,2013-01-28,2013-01-28 12:34:05,1,1,9569d93e51cfe5c6ff67a1a3aac550c8.jpg,5.6,800,100,12:34:05
+1.0,2013-02-13,2013-02-13 12:18:02,1,1,f36630aee69b4ee10734cfb431258c04.jpg,5.6,800,100,12:18:02
+1.0,2012-03-08,2012-03-08 10:46:27,0,3,71b299919cf19e1d7a136b7ad01d2fbc.jpg,5.6,800,400,10:46:27
+1.0,2013-01-29,2013-01-29 16:27:01,1,1,d61628702a52517d209fdbc652509bdb.jpg,5.6,800,250,16:27:01
+1.0,2013-01-28,2013-01-28 12:33:01,1,1,094050b78296d6e53418df1b4b3687cc.jpg,5.6,800,100,12:33:01
+1.0,2012-04-03,2012-04-03 09:38:16,0,3,5601ae7c59744e091ba2f4e91cf9a8c7.jpg,5.6,800,400,09:38:16
+1.0,2012-03-06,2012-03-06 13:31:38,0,3,50e2df74df148e549cae643c45f0880f.jpg,5.6,800,400,13:31:38
+1.0,2012-04-03,2012-04-03 11:09:14,0,3,bc7ba1c118284fce0e8f75d686cadf5e.jpg,5.6,800,400,11:09:14
+1.0,2013-01-28,2013-01-28 12:41:54,1,1,963a0fcca4c6efb42b98030ca14e2aca.jpg,5.6,800,100,12:41:54
+1.0,2013-02-13,2013-02-13 12:20:33,1,1,32c3179a971d7a402a0f936fc3eb4066.jpg,5.6,800,100,12:20:33
+1.0,2013-02-13,2013-02-13 12:42:21,1,1,19c89995b6cc1f229993ff85b684cdab.jpg,5.6,800,100,12:42:21
+1.0,2012-03-20,2012-03-20 13:56:13,0,3,364592081649080dc81740b735b18b31.jpg,5.6,800,400,13:56:13
+1.0,2013-02-20,2013-02-20 12:34:49,1,1,c99d58c960388c21cc0f94961d1b731b.jpg,5.6,800,100,12:34:49
+1.0,2012-03-22,2012-03-22 13:57:56,0,3,ffdc8489f090b34b272abcdcc56d5e31.jpg,5.6,800,400,13:57:56
+1.0,2012-03-06,2012-03-06 13:29:14,0,3,89baeae6bf92839909962d24ccf202c9.jpg,5.6,800,400,13:29:14
+1.0,2013-01-29,2013-01-29 12:16:53,1,1,a04a858ef9393876ba1fd61b2fb47a21.jpg,5.6,800,100,12:16:53
+1.0,2013-02-19,2013-02-19 16:23:19,1,1,dd8b6c88a394b70d8bbe49ce6dd363e6.jpg,5.6,800,400,16:23:19
+1.0,2013-02-19,2013-02-19 16:23:33,1,1,b3dd52ce96b14e276f81a87d7538aefc.jpg,5.6,800,320,16:23:33
+1.0,2013-01-28,2013-01-28 12:38:55,1,1,838f5b871f7a7b73e66b2f4225abff62.jpg,5.6,800,100,12:38:55
+1.0,2012-03-06,2012-03-06 13:28:18,0,3,f3c20a79a966a70f02e64fc6404f9088.jpg,5.6,800,400,13:28:18
+1.0,2013-02-13,2013-02-13 13:23:06,1,1,3ba9fdc3f1ad7590f62ecb990ae9dc7e.jpg,5.6,800,100,13:23:06
+1.0,2012-03-08,2012-03-08 12:13:17,0,3,6d265e3ab8c6af9b3892e0feb2282e4a.jpg,5.6,800,400,12:13:17
+1.0,2013-02-20,2013-02-20 12:34:22,1,1,a8f00a832b0c3169464ed68e137d3d24.jpg,5.6,800,100,12:34:22
+1.0,2012-04-03,2012-04-03 12:31:44,0,3,11da0d1d2a13d59039da150c9ca13f50.jpg,5.6,800,400,12:31:44
+1.0,2013-01-29,2013-01-29 16:34:50,1,1,ec9817a117181e95dbda93e0ebd7d3ad.jpg,5.6,800,320,16:34:50
+1.0,2013-01-28,2013-01-28 12:42:26,1,1,79ee263aa5b9b076e5e79a7a86bcf1fc.jpg,5.6,800,100,12:42:26
+1.0,2013-01-29,2013-01-29 12:17:01,1,1,e604a231891b99f5c6ac4fefe6ab0db8.jpg,5.6,800,100,12:17:01
+1.0,2012-03-08,2012-03-08 12:12:42,0,3,f18121dc34bf3889346a92aa4e53a1af.jpg,5.6,800,400,12:12:42
+1.0,2013-02-26,2013-02-26 12:24:12,1,1,ab9815df77027f50a7ae6b1437a6e757.jpg,5.6,800,200,12:24:12
+1.0,2013-01-28,2013-01-28 12:42:45,1,1,94d2cbb8d2456f3ce7fb7eddd59b9ae2.jpg,5.6,800,100,12:42:45
+1.0,2013-02-26,2013-02-26 12:12:51,1,1,0b22a39521637a104901413793c8d1c7.jpg,5.6,800,160,12:12:51
+1.0,2013-02-19,2013-02-19 16:32:23,1,1,b7e0241415ed523c372ab70f23833e76.jpg,5.6,800,400,16:32:23
+1.0,2012-03-06,2012-03-06 13:28:05,0,3,c588b92a80df271b88b6e2685ec29710.jpg,5.6,800,400,13:28:05
+1.0,2012-04-03,2012-04-03 11:13:01,0,3,8c87f7a6eaa1e3981b5c615e23f6b76d.jpg,5.6,800,400,11:13:01
+1.0,2013-01-29,2013-01-29 12:34:24,1,1,178a2f7b9ebc8b1d6bea9d591f631027.jpg,5.6,800,100,12:34:24
+1.0,2012-04-24,2012-04-24 11:08:20,0,3,a5185639c572dd4a4c1b19b8835f7983.jpg,5.6,800,400,11:08:20
+1.0,2013-01-29,2013-01-29 16:25:00,1,1,8b69994638fc12adb605ddfe3ad0f116.jpg,5.6,800,250,16:25:00
+1.0,2013-02-13,2013-02-13 13:30:56,1,1,1638938815eb63d80d95d6e80ef67be1.jpg,5.6,800,100,13:30:56
+1.0,2013-02-26,2013-02-26 12:15:28,1,1,4e709a3bd3540308f726aeeb5536d28b.jpg,5.6,800,200,12:15:28
+1.0,2012-03-20,2012-03-20 09:47:31,0,3,33c1a2461422e16e71b4b85f662fcec8.jpg,5.6,800,400,09:47:31
+1.0,2013-02-19,2013-02-19 16:32:56,1,1,9c9c5b3aade458ff5afc5dc266d75e31.jpg,5.6,800,320,16:32:56
+1.0,2013-02-26,2013-02-26 12:12:59,1,1,6dc51be7a5e3c1068d1a888f241feda9.jpg,5.6,800,200,12:12:59
+1.0,2012-03-08,2012-03-08 12:11:14,0,3,aeeecf5727680cc33c7660f31822a492.jpg,5.6,800,400,12:11:14
+1.0,2012-03-20,2012-03-20 12:34:50,0,3,314268afa74d6b1531049e394c6b668e.jpg,5.6,800,400,12:34:50
+1.0,2012-04-03,2012-04-03 09:38:04,0,3,379888bb8ac4947ed187e8ad1d8342d6.jpg,5.6,800,400,09:38:04
+1.0,2013-02-13,2013-02-13 12:59:42,1,1,cbf5e233c78dc4a307af14722b4c6e2b.jpg,5.6,800,100,12:59:42
+1.0,2013-02-20,2013-02-20 12:25:46,1,1,b7df865817d56a21dd0b1cd72abbd93e.jpg,5.6,800,100,12:25:46
+1.0,2013-01-29,2013-01-29 16:25:42,1,1,7c29d827ff165753f64f3785d702c0e3.jpg,5.6,800,250,16:25:42
+1.0,2012-03-22,2012-03-22 11:09:47,0,3,d27b609ac64994cfdcd798f1f4ceab3b.jpg,5.6,800,400,11:09:47
+1.0,2012-03-22,2012-03-22 11:07:01,0,3,f7e5e8fe39adcceedd1ff86b37d6808d.jpg,5.6,800,400,11:07:01
+1.0,2013-01-29,2013-01-29 12:14:56,1,1,e2f197d53ea414f2c60cbe9f77bb6df6.jpg,5.6,800,100,12:14:56
+1.0,2013-02-20,2013-02-20 12:44:25,1,1,27645f6c707e7c9f7a3f8cbae27d500d.jpg,5.6,800,100,12:44:25
+1.0,2012-03-20,2012-03-20 12:36:20,0,3,405c077da96d5f75771496fd28b5159a.jpg,5.6,800,400,12:36:20
+1.0,2013-02-20,2013-02-20 12:03:44,1,1,7602d63f32a356051d7ae15bfedc9058.jpg,5.6,800,160,12:03:44
+1.0,2013-02-20,2013-02-20 12:03:53,1,1,6b4804b74905a092c368207718539f45.jpg,5.6,800,200,12:03:53
+1.0,2013-01-28,2013-01-28 12:41:19,1,1,6836fdf78fa822327fdebdba8632ca82.jpg,5.6,800,100,12:41:19
+1.0,2013-01-28,2013-01-28 12:42:44,1,1,e12944e63d19a6490817cf71233e3c65.jpg,5.6,800,100,12:42:44
+1.0,2012-03-22,2012-03-22 11:04:50,0,3,4e936db3aba9e90e2493aff9ba316657.jpg,5.6,800,400,11:04:50
+1.0,2013-01-29,2013-01-29 12:11:09,1,1,62c3006800077f59f0791fa67c0d2409.jpg,5.6,800,100,12:11:09
+1.0,2013-02-26,2013-02-26 12:17:22,1,1,397f8831f68b16a7a245184817ff21db.jpg,5.6,800,200,12:17:22
+1.0,2013-01-29,2013-01-29 12:19:26,1,1,060e46b0e481b0d588236817c8038bcd.jpg,5.6,800,100,12:19:26
+1.0,2013-02-26,2013-02-26 12:11:34,1,1,ea80425eaff16fbb32ae847071dd1c01.jpg,5.6,800,160,12:11:34
+1.0,2012-03-20,2012-03-20 13:57:27,0,3,8556e2ad929990ce8d7bab1aef4d1125.jpg,5.6,800,400,13:57:27
+1.0,2013-02-26,2013-02-26 12:17:43,1,1,f7b3f02efb2bf9ad9a42fec7129ec49e.jpg,5.6,800,200,12:17:43
+1.0,2012-03-20,2012-03-20 12:34:14,0,3,e2e3c6914d1b6e040545fd935ccc67c8.jpg,5.6,800,400,12:34:14
+1.0,2012-04-03,2012-04-03 09:43:33,0,3,9d3cf0c8b11aee2a1f1362363ac9828f.jpg,5.6,800,400,09:43:33
+1.0,2012-03-22,2012-03-22 14:03:00,0,3,dc915b049f98ebdf6517aa55a52f0095.jpg,5.6,800,400,14:03:00
+1.0,2013-01-28,2013-01-28 12:41:58,1,1,796892e517ce74a6627ba9d40a76923a.jpg,5.6,800,100,12:41:58
+1.0,2013-02-13,2013-02-13 13:19:58,1,1,dc951ffb9c5dbff13b4b06f2903d868c.jpg,5.6,800,100,13:19:58
+1.0,2013-02-26,2013-02-26 12:11:30,1,1,0dbeb4e5bb8fb7ca090b706ae280478c.jpg,5.6,800,160,12:11:30
+1.0,2013-01-29,2013-01-29 16:22:51,1,1,3dd4c0d2a21881367470b5ceadb000bc.jpg,5.6,800,250,16:22:51
+1.0,2013-01-28,2013-01-28 12:38:03,1,1,79ed098a27302317b8e619a1b14c3149.jpg,5.6,800,100,12:38:03
+1.0,2012-04-03,2012-04-03 11:09:46,0,3,54e30cd530463e491e28f7df9e950094.jpg,5.6,800,400,11:09:46
+1.0,2013-02-20,2013-02-20 12:20:22,1,1,d18d729cb7781dd595fc42d47d1ab670.jpg,5.6,800,100,12:20:22
+1.0,2013-01-28,2013-01-28 12:40:50,1,1,608cfc54aac91ea6bce61c62207dd84c.jpg,5.6,800,100,12:40:50
+1.0,2012-03-20,2012-03-20 13:57:55,0,3,e1a3e268f79f223b4abc18b07fd0632a.jpg,5.6,800,400,13:57:55
+1.0,2012-03-08,2012-03-08 10:46:42,0,3,d5fc63aab11ed35462c63fef58e7e2b6.jpg,5.6,800,400,10:46:42
+1.0,2012-03-20,2012-03-20 13:55:47,0,3,9ddd644afb20d01ef047d7368aef452e.jpg,5.6,800,400,13:55:47
+1.0,2012-03-20,2012-03-20 12:30:17,0,3,86e6155ee320d5a2084cb0761098d53e.jpg,5.6,800,400,12:30:17
+1.0,2013-02-20,2013-02-20 12:03:17,1,1,17aa439c87ed1c463cf53163c39386cf.jpg,5.6,800,160,12:03:17
+1.0,2012-03-08,2012-03-08 14:54:27,0,3,1f39b660bbb1020b52b4aafbd18352c5.jpg,5.6,800,400,14:54:27
+1.0,2012-03-20,2012-03-20 12:32:19,0,3,d9fcf463516151fbed700d68d3aea19d.jpg,5.6,800,400,12:32:19
+1.0,2012-04-03,2012-04-03 11:08:07,0,3,18f1bd8f9d6a7a3a99d088c94072492a.jpg,5.6,800,400,11:08:07
+1.0,2013-01-28,2013-01-28 12:38:14,1,1,ff913447a14e44a94c130ff0fdc02ebd.jpg,5.6,800,100,12:38:14
+1.0,2012-03-08,2012-03-08 10:47:13,0,3,07f026df3fcfb22d9d3159f5fb053238.jpg,5.6,800,400,10:47:13
+1.0,2012-03-13,2012-03-13 11:09:41,0,3,331f406b4ad99e36cacc9db0a08d4c97.jpg,5.6,800,400,11:09:41
+1.0,2013-02-20,2013-02-20 12:07:14,1,1,0ce4af7c4bf3f6519970309d153837e2.jpg,5.6,800,250,12:07:14
+1.0,2013-02-26,2013-02-26 12:19:14,1,1,b6dd88d930eada84f2be3fba6cce8b87.jpg,5.6,800,200,12:19:14
+1.0,2012-04-03,2012-04-03 09:36:51,0,3,431293aab7cf00bd227dd8462c1020c0.jpg,5.6,800,400,09:36:51
+1.0,2012-03-20,2012-03-20 11:06:32,0,3,7d4b820a70bce3afc78f3f5fe8b79406.jpg,5.6,800,400,11:06:32
+1.0,2013-01-29,2013-01-29 16:22:52,1,1,68b857d7005edb42a70b0e200dff8c3f.jpg,5.6,800,320,16:22:52
+1.0,2013-02-19,2013-02-19 16:16:13,1,1,0bcce61493110bacd1af0a3b5313a5e2.jpg,5.6,800,320,16:16:13
+1.0,2013-01-28,2013-01-28 12:34:35,1,1,5c30b15b527dda5be2eb269ad6b3f961.jpg,5.6,800,100,12:34:35
+1.0,2012-04-03,2012-04-03 11:06:57,0,3,bc7a0e84cfbb5403aa3c53b667e845ef.jpg,5.6,800,400,11:06:57
+1.0,2012-03-20,2012-03-20 13:59:36,0,3,7ad53ac2f9c8cf2c69536881a35cc011.jpg,5.6,800,400,13:59:36
+1.0,2012-03-20,2012-03-20 12:32:44,0,3,a180131f6169c7ab145d3d89c6c98024.jpg,5.6,800,400,12:32:44
+1.0,2012-03-13,2012-03-13 11:09:07,0,3,b2c490cc0fc9665fd454e73a4134223b.jpg,5.6,800,400,11:09:07
+1.0,2012-03-20,2012-03-20 09:42:09,0,3,c15193328421eec848ce9fedd88394f8.jpg,5.6,800,400,09:42:09
+1.0,2012-04-03,2012-04-03 09:35:54,0,3,45f1a8a7e6e04a8e6e5d07c308932d16.jpg,5.6,800,400,09:35:54
+1.0,2012-03-20,2012-03-20 15:24:11,0,3,aebb1489b17880d785f5a5004fc884f9.jpg,5.6,800,400,15:24:11
+1.0,2012-03-20,2012-03-20 15:24:58,0,3,ed54578261b2c5962a3ff39da30c9b3b.jpg,5.6,800,400,15:24:58
+1.0,2013-01-28,2013-01-28 12:41:05,1,1,08eb6c66accf04e3e547c1d82c82f10a.jpg,5.6,800,100,12:41:05
+1.0,2012-03-13,2012-03-13 11:12:23,0,3,3d7c7c763b11264a8f6ce24ccd8c6bbe.jpg,5.6,800,400,11:12:23
+1.0,2012-03-08,2012-03-08 10:48:36,0,3,69b565c3f0b0650e94d51cf18fd88934.jpg,5.6,800,400,10:48:36
+1.0,2012-04-03,2012-04-03 09:36:33,0,3,98a271063c4a837624444fe7f7b503a5.jpg,5.6,800,400,09:36:33
+1.0,2012-04-03,2012-04-03 11:13:15,0,3,3c92631d5b4d90f9e1613f22f51ad7c8.jpg,5.6,800,400,11:13:15
+1.0,2013-02-13,2013-02-13 12:13:32,1,1,b04f64381d6139b92b5561dd216a928f.jpg,5.6,800,100,12:13:32
+1.0,2013-02-19,2013-02-19 16:33:57,1,1,d439065544ef5e2c0e6e6a40a45c5771.jpg,5.6,800,500,16:33:57
+1.0,2013-02-13,2013-02-13 12:02:53,1,1,4698c68076b45c994f2a5b6675c7494a.jpg,5.6,800,100,12:02:53
+1.0,2012-03-13,2012-03-13 11:11:28,0,3,ebe8167ae6c3985b1572f8ab4e4cb1df.jpg,5.6,800,400,11:11:28
+1.0,2012-03-08,2012-03-08 12:13:21,0,3,9a74eb2e2383e52e317fc4a5f687f031.jpg,5.6,800,400,12:13:21
+1.0,2012-03-22,2012-03-22 11:10:57,0,3,96020799f1f310078e435154858db893.jpg,5.6,800,400,11:10:57
+1.0,2012-04-17,2012-04-17 12:26:32,0,3,cdaa3bfe438d89cbd090264dd0026cfc.jpg,5.6,800,400,12:26:32
+1.0,2013-02-13,2013-02-13 11:59:53,1,1,ecbf38994209ec14b991557628e0d3c7.jpg,5.6,800,100,11:59:53
+1.0,2012-04-03,2012-04-03 11:05:33,0,3,eb8e0ba875aec8cf6478ae402560ed01.jpg,5.6,800,400,11:05:33
+1.0,2012-04-03,2012-04-03 11:04:29,0,3,28434ba4795c38d531d06405819d6e48.jpg,5.6,800,400,11:04:29
+1.0,2012-03-20,2012-03-20 13:59:21,0,3,f53f26ec93ef82e67c938871ba381ffe.jpg,5.6,800,400,13:59:21
+1.0,2012-04-03,2012-04-03 11:11:12,0,3,e584a63127813a1d29249196f5295888.jpg,5.6,800,400,11:11:12
+1.0,2013-01-29,2013-01-29 12:19:51,1,1,bc88e55a200e3c73a7e9406390d1c1d3.jpg,5.6,800,100,12:19:51
+1.0,2013-02-19,2013-02-19 16:22:40,1,1,a88595560885f2686790669c16b93add.jpg,5.6,800,320,16:22:40
+1.0,2013-01-28,2013-01-28 12:38:21,1,1,44a6b8c773d18d2cb6d4d9c6c0cb0893.jpg,5.6,800,100,12:38:21
+1.0,2013-02-26,2013-02-26 12:11:46,1,1,3ecaa9df91be0791c93c3999a2758165.jpg,5.6,800,200,12:11:46
+1.0,2013-01-28,2013-01-28 12:41:28,1,1,e06f959f4d341bbf3aca2f65b326d6e4.jpg,5.6,800,100,12:41:28
+1.0,2012-03-20,2012-03-20 11:08:42,0,3,aa6653b6632615eb2a98e88b6036f80d.jpg,5.6,800,400,11:08:42
+1.0,2012-04-03,2012-04-03 11:04:36,0,3,f08f47a76242309cd3befed55a3a94fa.jpg,5.6,800,400,11:04:36
+1.0,2013-02-26,2013-02-26 12:11:08,1,1,2accc450308f2b2f61931179739d044a.jpg,5.6,800,200,12:11:08
+1.0,2012-03-08,2012-03-08 10:48:22,0,3,0c706f0ef29b21d8cab7388d097dbc5f.jpg,5.6,800,400,10:48:22
+1.0,2013-02-19,2013-02-19 16:17:41,1,1,2ee1853ab55499837eb281d115314944.jpg,5.6,800,320,16:17:41
+1.0,2012-03-13,2012-03-13 11:09:42,0,3,5561b98e1ef7f68afad83791fed4119c.jpg,5.6,800,400,11:09:42
+1.0,2013-01-29,2013-01-29 16:31:25,1,1,542c994cc6317ab5e604c8cfc65d4d59.jpg,5.6,800,320,16:31:25
+1.0,2012-04-03,2012-04-03 11:13:01,0,3,8e2118e41e670f41292efd44282b8f3a.jpg,5.6,800,400,11:13:01
+1.0,2013-01-28,2013-01-28 12:41:34,1,1,ff16b2093354d647fc9e2815c0cb275e.jpg,5.6,800,100,12:41:34
+1.0,2013-01-28,2013-01-28 12:38:06,1,1,1122333097ddd69e61870e50b3580269.jpg,5.6,800,100,12:38:06
+1.0,2013-02-19,2013-02-19 16:22:34,1,1,479a50c1aa3bc06cfa28886ecfdf9320.jpg,5.6,800,320,16:22:34
+1.0,2013-02-26,2013-02-26 12:26:02,1,1,5302597f53d8da40bf1e751fb7e1b6dc.jpg,5.6,800,200,12:26:02
+1.0,2012-03-20,2012-03-20 09:45:58,0,3,f995d1116d6ef2cef447023a0d7e9e3c.jpg,5.6,800,400,09:45:58
+1.0,2012-03-22,2012-03-22 13:58:28,0,3,13fc89dde1bb2160a6ab44cb0c32d7f6.jpg,5.6,800,400,13:58:28
+1.0,2012-04-03,2012-04-03 12:35:26,0,3,113b3b8f5d208b4df357926438ec7f93.jpg,5.6,800,400,12:35:26
+1.0,2012-03-06,2012-03-06 13:30:05,0,3,8e48b697868b3d76dcce1c997741b86b.jpg,5.6,800,400,13:30:05
+1.0,2013-01-29,2013-01-29 16:26:48,1,1,84a25fc58edddce0f2c2898c5719e1b4.jpg,5.6,800,400,16:26:48
+1.0,2012-03-08,2012-03-08 12:10:13,0,3,32c98646addadc51cdd162689d3dbe53.jpg,5.6,800,400,12:10:13
+1.0,2013-01-29,2013-01-29 12:17:16,1,1,0d66c521190541d16a1d38bf0934d114.jpg,5.6,800,100,12:17:16
+1.0,2013-01-29,2013-01-29 12:31:08,1,1,839b4faec6c9a93bbb2016c5a1e324ac.jpg,5.6,800,100,12:31:08
+1.0,2012-03-20,2012-03-20 09:45:56,0,3,51124852d99c1359ac433eb60490b385.jpg,5.6,800,400,09:45:56
+1.0,2012-03-20,2012-03-20 15:24:59,0,3,d14f6fb0be0650b80522dfa762be4f49.jpg,5.6,800,400,15:24:59
+1.0,2012-03-20,2012-03-20 13:59:19,0,3,f99fa0f5dc181be17a6efc6fafe79183.jpg,5.6,800,400,13:59:19
+1.0,2012-04-03,2012-04-03 09:44:03,0,3,51149d175ae24dbf3c1ee6c19486c253.jpg,5.6,800,400,09:44:03
+1.0,2012-03-13,2012-03-13 11:12:24,0,3,123e16fdead3f96363ecffc673dd14b6.jpg,5.6,800,400,11:12:24
+1.0,2013-02-26,2013-02-26 12:31:46,1,1,72e4e9a42eb5ff1740ca091d012a68cb.jpg,5.6,800,200,12:31:46
+1.0,2013-01-29,2013-01-29 16:33:32,1,1,4b547ad19531ba1cdb9eb7d275f60576.jpg,5.6,800,400,16:33:32
+1.0,2013-01-29,2013-01-29 12:18:07,1,1,31bc331dbdee669904bdd2a704643bf3.jpg,5.6,800,100,12:18:07
+1.0,2012-03-20,2012-03-20 13:58:35,0,3,c2fecc2ac7de3c0c8b3a410529e88daa.jpg,5.6,800,400,13:58:35
+1.0,2013-01-29,2013-01-29 12:30:54,1,1,6b3f1254427d0cdb613e2d3ba92b4dbc.jpg,5.6,800,100,12:30:54
+1.0,2012-03-06,2012-03-06 13:30:20,0,3,a367c78540e591f151811ffe24ed0566.jpg,5.6,800,400,13:30:20
+1.0,2012-04-03,2012-04-03 11:08:08,0,3,b03de7d8b77b3310df0572dc2371ec85.jpg,5.6,800,400,11:08:08
+1.0,2012-03-20,2012-03-20 09:43:48,0,3,96ca963e8326813c134cce6c8ded7060.jpg,5.6,800,400,09:43:48
+1.0,2012-03-20,2012-03-20 15:24:25,0,3,3e6fdc8f94e9cdc8d21cdc232c0dc135.jpg,5.6,800,400,15:24:25
+1.0,2013-01-28,2013-01-28 12:33:07,1,1,27cecf68e07ea74b3b7943d8a7bebbe1.jpg,5.6,800,100,12:33:07
+1.0,2013-02-26,2013-02-26 12:19:42,1,1,53479603051159a43793f6eefb8425dd.jpg,5.6,800,200,12:19:42
+1.0,2013-01-28,2013-01-28 12:38:54,1,1,174cdd0292a0ca0fa4bc2635fc6c3e15.jpg,5.6,800,100,12:38:54
+1.0,2012-04-03,2012-04-03 11:10:36,0,3,112960699c70f9c818c14267c5848d6b.jpg,5.6,800,400,11:10:36
+1.0,2012-03-20,2012-03-20 13:58:01,0,3,cf7a0f8b3587a391d05332384978144e.jpg,5.6,800,400,13:58:01
+1.0,2013-01-29,2013-01-29 12:09:44,1,1,8a5c17112d50a8656ad77843072af86c.jpg,5.6,800,100,12:09:44
+1.0,2013-01-29,2013-01-29 16:22:40,1,1,e9a2117a921c5380f55759d90968da00.jpg,5.6,800,400,16:22:40
+1.0,2013-02-19,2013-02-19 16:33:54,1,1,f4db7ddbadc5da23ae14b706e952401b.jpg,5.6,800,320,16:33:54
+1.0,2013-02-20,2013-02-20 12:02:17,1,1,d6f75572a191fc64821e282ed18c5734.jpg,5.6,800,160,12:02:17
+1.0,2013-01-29,2013-01-29 12:25:38,1,1,ac7d187737d6a3f06faeaffbd3ef820f.jpg,5.6,800,100,12:25:38
+1.0,2012-04-03,2012-04-03 11:08:23,0,3,dca928ab851baa9b7efbcb059c89a939.jpg,5.6,800,400,11:08:23
+1.0,2012-03-22,2012-03-22 11:04:58,0,3,c4dae4c15158c16c14415afdb6fea928.jpg,5.6,800,400,11:04:58
+1.0,2013-02-19,2013-02-19 16:21:42,1,1,24cb6ab3b70f6c6d7be445c35b2910db.jpg,5.6,800,320,16:21:42
+1.0,2013-02-26,2013-02-26 12:38:42,1,1,3607ae31e92edb002beccc58734c0afa.jpg,5.6,800,200,12:38:42
+1.0,2013-02-13,2013-02-13 13:21:17,1,1,31849b5fd842221990cf0c10af65b86b.jpg,5.6,800,100,13:21:17
+1.0,2012-02-23,2012-02-23 14:55:17,0,3,1088e5b6740fc307a3487875f80585f7.jpg,5.6,800,400,14:55:17
+1.0,2013-02-26,2013-02-26 12:14:36,1,1,4d3a7a92f474f57c3a9c54008e3d38ca.jpg,5.6,800,200,12:14:36
+1.0,2013-02-20,2013-02-20 12:04:43,1,1,8245c98301fd9b31ba997b9317887380.jpg,5.6,800,200,12:04:43
+1.0,2012-04-03,2012-04-03 11:06:45,0,3,03e2cfd2c3d5076879a381c3fe98987d.jpg,5.6,800,400,11:06:45
+1.0,2012-03-08,2012-03-08 12:10:16,0,3,600d9496fed74c927294fe3b7144bc00.jpg,5.6,800,400,12:10:16
+1.0,2012-03-20,2012-03-20 12:30:08,0,3,f1e9355ecaa097705a80ed37723ef7eb.jpg,5.6,800,400,12:30:08
+1.0,2012-03-13,2012-03-13 11:13:19,0,3,8e143ffc32b3ea84040960e2b1809392.jpg,5.6,800,400,11:13:19
+1.0,2013-02-26,2013-02-26 12:30:02,1,1,6110f27c6e8ecbd966e210103b1d346a.jpg,5.6,800,200,12:30:02
+1.0,2012-03-20,2012-03-20 09:40:59,0,3,df8677cf0e5d7237543dbf1bb294bcdb.jpg,5.6,800,400,09:40:59
+1.0,2013-01-29,2013-01-29 12:09:46,1,1,c2d34bd8a505ddcd587e784cc60cd463.jpg,5.6,800,100,12:09:46
+1.0,2013-01-29,2013-01-29 16:21:19,1,1,6377e74dc12f76c79d2bdb7bdd6fa7df.jpg,5.6,800,200,16:21:19
+1.0,2013-01-29,2013-01-29 16:34:49,1,1,840ad479a49e33650ab8677b51b00727.jpg,5.6,800,320,16:34:49
+1.0,2013-01-28,2013-01-28 12:39:09,1,1,71e85b11fab943b48e0edcc474f39640.jpg,5.6,800,100,12:39:09
+1.0,2012-03-22,2012-03-22 11:05:02,0,3,a1a976fc25a45477263698ed4d32172f.jpg,5.6,800,400,11:05:02
+1.0,2012-03-22,2012-03-22 14:01:02,0,3,695414852b4b5bc6071d0e502124cec8.jpg,5.6,800,400,14:01:02
+1.0,2012-03-20,2012-03-20 15:23:14,0,3,21758adfa6e326e0d4d1fd937ee48211.jpg,5.6,800,400,15:23:14
+1.0,2012-04-03,2012-04-03 09:38:06,0,3,b83f593f61364722a4f23adb13cc5d66.jpg,5.6,800,400,09:38:06
+1.0,2012-03-08,2012-03-08 10:48:16,0,3,8e38142103e44c1eccd90da790b2af80.jpg,5.6,800,400,10:48:16
+1.0,2012-03-20,2012-03-20 12:30:30,0,3,4e327de6c25678de4e0f75fa3b004332.jpg,5.6,800,400,12:30:30
+1.0,2012-03-20,2012-03-20 11:09:18,0,3,bc51ebf4b059eb53dda4aba383c8b43f.jpg,5.6,800,400,11:09:18
+1.0,2012-03-20,2012-03-20 15:23:02,0,3,9b18f41d524126aff3bb521a531300ff.jpg,5.6,800,400,15:23:02
+1.0,2013-01-29,2013-01-29 16:30:30,1,1,01f1cd2326d706fb87389a1bb2671e5c.jpg,5.6,800,320,16:30:30
+1.0,2013-02-20,2013-02-20 12:13:26,1,1,6eefdb32765aacb24e97cd2ac553729b.jpg,5.6,800,160,12:13:26
+1.0,2012-03-20,2012-03-20 12:32:42,0,3,1670bad5b027b35b28d8684e3c9cd369.jpg,5.6,800,400,12:32:42
+1.0,2012-04-03,2012-04-03 09:44:17,0,3,f54e4e5dfba85cf4103c5348c221c232.jpg,5.6,800,400,09:44:17
+1.0,2012-03-20,2012-03-20 15:23:56,0,3,0b5e308d1417d9c5f69f4d40e3e7bb17.jpg,5.6,800,400,15:23:56
+1.0,2012-04-03,2012-04-03 09:36:59,0,3,489b6775ac2164da919ff76851eed023.jpg,5.6,800,400,09:36:59
+1.0,2012-03-08,2012-03-08 10:44:14,0,3,38f58bd81d1a8d8ec359388cbef93797.jpg,5.6,800,400,10:44:14
+1.0,2013-02-26,2013-02-26 12:11:11,1,1,fbdfcd60cdf8fb4da02deb733cc6b1df.jpg,5.6,800,160,12:11:11
+1.0,2013-01-28,2013-01-28 12:41:48,1,1,c82fd27ac2da9d136a17b3ee2e06ada9.jpg,5.6,800,100,12:41:48
+1.0,2013-02-13,2013-02-13 12:48:55,1,1,74d7b925e23a18e3f76cd6950beacb6b.jpg,5.6,800,100,12:48:55
+1.0,2012-04-03,2012-04-03 11:07:55,0,3,ad54b5dc6d5323890daefd1cdfd84b1c.jpg,5.6,800,400,11:07:55
+1.0,2012-04-03,2012-04-03 09:35:11,0,3,ab46ac9b8204c3d48430af0e85a47c6b.jpg,5.6,800,400,09:35:11
+1.0,2012-03-20,2012-03-20 11:04:28,0,3,f64207e0a8168c9c8303e1e05023f1b4.jpg,5.6,800,400,11:04:28
+1.0,2012-04-03,2012-04-03 11:09:30,0,3,2cb294eb6cf7621be94ddbf652e1ed82.jpg,5.6,800,400,11:09:30
+1.0,2012-03-20,2012-03-20 11:08:24,0,3,4f15e3a4d6333b8a6a60b2e9796bd96e.jpg,5.6,800,400,11:08:24
+1.0,2012-04-03,2012-04-03 11:09:20,0,3,022227161de6dfbe91c4dc7fd3733e90.jpg,5.6,800,400,11:09:20
+1.0,2013-01-29,2013-01-29 12:17:09,1,1,b07ea965d440d1836bafcdefacfccb3c.jpg,5.6,800,100,12:17:09
+1.0,2013-02-20,2013-02-20 12:40:08,1,1,b30f2f22efa9e1df97b81118ef3ffe7b.jpg,5.6,800,100,12:40:08
+1.0,2013-02-20,2013-02-20 12:25:16,1,1,e6fabcea2ddbd2dc5175ac1b749f4b09.jpg,5.6,800,100,12:25:16
+1.0,2012-03-20,2012-03-20 11:04:16,0,3,b3821c717f581402b63451e8c90cadac.jpg,5.6,800,400,11:04:16
+1.0,2012-03-20,2012-03-20 09:42:21,0,3,ba2ed44980f6a1d059e6c498e32bf17d.jpg,5.6,800,400,09:42:21
+1.0,2012-03-08,2012-03-08 10:43:54,0,3,77bea514cd039ac16a6ad4bcd1639ad2.jpg,5.6,800,400,10:43:54
+1.0,2013-02-13,2013-02-13 12:54:03,1,1,d8d94f1244c84f953dde3135a7489915.jpg,5.6,800,100,12:54:03
+1.0,2013-02-20,2013-02-20 12:44:23,1,1,0b2819594eb04ac5ee51056445004b56.jpg,5.6,800,100,12:44:23
+1.0,2013-02-13,2013-02-13 12:33:10,1,1,f6af6388e2d72e04c1153e1356eca502.jpg,5.6,800,100,12:33:10
+1.0,2012-03-20,2012-03-20 12:29:49,0,3,5c7a6abeb9816151e8e4fdf5ef5b4253.jpg,5.6,800,400,12:29:49
+1.0,2013-02-19,2013-02-19 16:33:02,1,1,7cc1d0a20e3585e0915d70421d13a337.jpg,5.6,800,320,16:33:02
+1.0,2013-02-19,2013-02-19 16:22:59,1,1,9a20eb5542f82ad5a16bf05a8652024a.jpg,5.6,800,400,16:22:59
+1.0,2012-03-20,2012-03-20 13:59:23,0,3,6ea7dfd0a54628c70450b1050b83443c.jpg,5.6,800,400,13:59:23
+1.0,2013-02-20,2013-02-20 12:34:01,1,1,26f6eb00c964d956842f1e44a0093bce.jpg,5.6,800,100,12:34:01
+1.0,2012-03-06,2012-03-06 13:32:03,0,3,20c8f9ba17cd2890af58fe188958f254.jpg,5.6,800,400,13:32:03
+1.0,2013-02-26,2013-02-26 12:26:28,1,1,ac0d6468f3513b6d049518391fd522ef.jpg,5.6,800,200,12:26:28
+1.0,2013-02-13,2013-02-13 12:54:39,1,1,8ec8134fd69979cf3d1c183bb2a340dc.jpg,5.6,800,100,12:54:39
+1.0,2013-02-19,2013-02-19 16:21:50,1,1,595ff885b8dfa51b5c2602e1ce24d684.jpg,5.6,800,320,16:21:50
+1.0,2013-01-28,2013-01-28 12:36:15,1,1,03a4249c2e5409396fc262e9f1d11504.jpg,5.6,800,100,12:36:15
+1.0,2012-03-20,2012-03-20 12:31:42,0,3,a05cba7bc13e709c531f2c6cf47b530f.jpg,5.6,800,400,12:31:42
+1.0,2013-02-19,2013-02-19 16:18:00,1,1,a42aead7b616be017ef13aca55add84e.jpg,5.6,800,320,16:18:00
+1.0,2012-04-03,2012-04-03 11:12:59,0,3,e2fae364f3ef4aaaeddc9b510911cfe1.jpg,5.6,800,400,11:12:59
+1.0,2012-04-03,2012-04-03 11:05:53,0,3,38bd14b22298f298aa673c6291d005f2.jpg,5.6,800,400,11:05:53
+1.0,2013-02-26,2013-02-26 12:28:43,1,1,fd9a1f60b4da7ec32bfd8e72caea940d.jpg,5.6,800,200,12:28:43
+1.0,2013-02-20,2013-02-20 12:02:17,1,1,2a54ee6541913911e7d0a3cc63ce1e4b.jpg,5.6,800,160,12:02:17
+1.0,2012-03-20,2012-03-20 12:35:02,0,3,a05b9097d2ade9829e09bf8b2a6f8002.jpg,5.6,800,400,12:35:02
+1.0,2012-03-20,2012-03-20 11:08:37,0,3,525e255ffc018acdb394905f622b66fc.jpg,5.6,800,400,11:08:37
+1.0,2012-04-03,2012-04-03 09:38:20,0,3,5c1a5b6c1f17a9e109c6786e4ada1d2f.jpg,5.6,800,400,09:38:20
+1.0,2013-02-20,2013-02-20 12:19:24,1,1,ede67295daf4a805e5593e5a2a7090ac.jpg,5.6,800,100,12:19:24
+1.0,2012-04-03,2012-04-03 11:05:21,0,3,b87ff36822a6e1b861f9b5143ac9b01e.jpg,5.6,800,400,11:05:21
+1.0,2013-01-29,2013-01-29 16:35:09,1,1,0cf27e5bb5f863d2f75bc35295312ca6.jpg,5.6,800,640,16:35:09
+1.0,2013-02-20,2013-02-20 12:45:36,1,1,f6cc790dc629ee27df84383f09b6dd92.jpg,5.6,800,100,12:45:36
+1.0,2012-04-03,2012-04-03 09:44:15,0,3,1f94d90be02a8f1b4d92fdcdb013523b.jpg,5.6,800,400,09:44:15
+1.0,2012-03-20,2012-03-20 15:23:57,0,3,bc6b5157e9d0ead1676179d1bec01365.jpg,5.6,800,400,15:23:57
+1.0,2013-01-29,2013-01-29 12:16:59,1,1,f13a4bcf34b6ecd4601c595940befcb9.jpg,5.6,800,100,12:16:59
+1.0,2012-03-20,2012-03-20 11:07:51,0,3,3e1d7de2d33ff3bc0ee760712ffe3ac4.jpg,5.6,800,400,11:07:51
+1.0,2013-01-29,2013-01-29 16:32:59,1,1,a8cccdd68425e9d07bc780512d6f9b9c.jpg,5.6,800,400,16:32:59
+1.0,2012-04-03,2012-04-03 09:37:27,0,3,4bdfcc82e614080690936de9c6946898.jpg,5.6,800,400,09:37:27
+1.0,2013-02-13,2013-02-13 12:48:49,1,1,481a6fdaa252fff4adbb2472b49240b0.jpg,5.6,800,100,12:48:49
+1.0,2012-04-26,2012-04-26 11:09:12,0,3,d39cd121e485d6c9fe6f32a226180875.jpg,5.6,800,400,11:09:12
+1.0,2013-02-26,2013-02-26 12:05:24,1,1,34584a5d5102221f650ad0777e03cafd.jpg,5.6,800,160,12:05:24
+1.0,2013-01-29,2013-01-29 12:08:41,1,1,4196f0f6a4eab6539e38cfd79f34c271.jpg,5.6,800,100,12:08:41
+1.0,2013-01-29,2013-01-29 12:31:02,1,1,d9248586b3ec82d28e75795ce21efe91.jpg,5.6,800,100,12:31:02
+1.0,2013-02-13,2013-02-13 13:17:18,1,1,a561bd12b53be7c98cc47f8ad4a48d1f.jpg,5.6,800,100,13:17:18
+1.0,2012-03-20,2012-03-20 11:04:20,0,3,9b0c25e8da4f46b9657408255d397551.jpg,5.6,800,400,11:04:20
+1.0,2012-03-20,2012-03-20 15:25:05,0,3,7b0a8d92fb0e88b8cf93bdffa0a601d3.jpg,5.6,800,400,15:25:05
+1.0,2012-03-22,2012-03-22 11:06:50,0,3,5d406fc84528487ec817fb204099099e.jpg,5.6,800,400,11:06:50
+1.0,2013-02-26,2013-02-26 12:08:55,1,1,f2308595ad5fe6d4855c2fbb8b59b636.jpg,5.6,800,200,12:08:55
+1.0,2013-01-29,2013-01-29 12:18:50,1,1,0996eb952577e1a4e1ed8182480ca67f.jpg,5.6,800,100,12:18:50
+1.0,2012-04-03,2012-04-03 12:37:42,0,3,2d3bd411a0dcfbbdfc7d67550bfafb85.jpg,5.6,800,400,12:37:42
+1.0,2013-02-26,2013-02-26 12:17:42,1,1,7def0a46f2dd798a03fef1146117c637.jpg,5.6,800,200,12:17:42
+1.0,2013-02-26,2013-02-26 12:15:23,1,1,e29b242eae5fde04c4635151dc2c6211.jpg,5.6,800,200,12:15:23
+1.0,2013-02-13,2013-02-13 12:13:57,1,1,3925c074a50dda1f214061f5a28f16de.jpg,5.6,800,100,12:13:57
+1.0,2013-02-20,2013-02-20 12:25:14,1,1,15b4b5b988ca832d019ef293ef9446c3.jpg,5.6,800,100,12:25:14
+1.0,2013-01-29,2013-01-29 12:31:12,1,1,4ce97aa06e675efecb50b6dc50314cb0.jpg,5.6,800,100,12:31:12
+1.0,2012-03-20,2012-03-20 09:45:27,0,3,47e7597bd6af11b8d93147b125accedb.jpg,5.6,800,400,09:45:27
+1.0,2013-02-19,2013-02-19 16:21:45,1,1,f79346013da6f6ab57aa972ef8bf6c60.jpg,5.6,800,320,16:21:45
+1.0,2013-02-20,2013-02-20 12:10:25,1,1,62e885d3161a3c4fc76f6f563fc5ce51.jpg,5.6,800,160,12:10:25
+1.0,2013-02-26,2013-02-26 12:14:49,1,1,8cfa0a5b234c46ef1f3abd40fa248e7d.jpg,5.6,800,200,12:14:49
+1.0,2012-03-20,2012-03-20 11:08:27,0,3,4b66a1553a2a44bd484a32b24f170999.jpg,5.6,800,400,11:08:27
+1.0,2012-04-03,2012-04-03 11:04:46,0,3,4e4cbbbb0a1253e34b24fdd47afcd7b5.jpg,5.6,800,400,11:04:46
+1.0,2013-02-13,2013-02-13 12:10:07,1,1,949ca28ecdd89b30f2d186a1bf417c7c.jpg,5.6,800,100,12:10:07
+1.0,2013-02-13,2013-02-13 13:27:17,1,1,d8fa293cd18bf3dcc6f135ce2f170b5e.jpg,5.6,800,100,13:27:17
+1.0,2013-02-20,2013-02-20 12:21:42,1,1,a27b289656c7ee66542af4e89752cee5.jpg,5.6,800,100,12:21:42
+1.0,2013-01-29,2013-01-29 12:10:23,1,1,a2728e7b3efcf4a44e8aae1be6349d67.jpg,5.6,800,100,12:10:23
+1.0,2013-02-20,2013-02-20 12:42:54,1,1,6001b4b916f0d9455e0b03352e35c0f9.jpg,5.6,800,100,12:42:54
+1.0,2013-02-19,2013-02-19 16:21:54,1,1,698ed7262bed32fb524fc9509210120b.jpg,5.6,800,320,16:21:54
+1.0,2013-01-29,2013-01-29 16:31:17,1,1,1a4eacecb06e5e069103c9b9f4b58c6e.jpg,5.6,800,320,16:31:17
+1.0,2012-03-08,2012-03-08 14:53:38,0,3,71b03d71894d1e82fafd1e82def2ee0f.jpg,5.6,800,400,14:53:38
+1.0,2012-03-20,2012-03-20 11:04:23,0,3,3a3e24a2918a204316030d8dfd5d1aa5.jpg,5.6,800,400,11:04:23
+1.0,2013-02-26,2013-02-26 12:07:33,1,1,5f8ce7291701cc3a83670462f3dc0e29.jpg,5.6,800,160,12:07:33
+1.0,2013-01-29,2013-01-29 12:27:52,1,1,d88a41138e018407bba52278eae668bf.jpg,5.6,800,100,12:27:52
+1.0,2013-01-29,2013-01-29 16:33:24,1,1,b5ed24263ecbb4c959e7011709869260.jpg,5.6,800,320,16:33:24
+1.0,2012-03-08,2012-03-08 12:10:05,0,3,53aa2de957041127b831ea8d819d7bb8.jpg,5.6,800,400,12:10:05
+1.0,2013-01-28,2013-01-28 12:42:25,1,1,eefbaeb33445d1f46c6640482d797613.jpg,5.6,800,100,12:42:25
+1.0,2013-01-28,2013-01-28 12:40:48,1,1,6b64fef80169fee8fbb8fb1039de9446.jpg,5.6,800,100,12:40:48
+1.0,2012-04-03,2012-04-03 11:11:59,0,3,87ba0541d5badfcb184ec78e1ffcafb5.jpg,5.6,800,400,11:11:59
+1.0,2012-03-20,2012-03-20 12:29:05,0,3,46772afcd88f9f5bf9ee0a8ba710e5a4.jpg,5.6,800,400,12:29:05
+1.0,2013-01-29,2013-01-29 12:19:52,1,1,dfa5165cbbc4cd041cb3775d39e62dfd.jpg,5.6,800,100,12:19:52
+1.0,2013-02-13,2013-02-13 12:49:59,1,1,0376788be7bd076ea3af1901b93f84df.jpg,5.6,800,100,12:49:59
+1.0,2012-04-03,2012-04-03 11:05:15,0,3,8dfd40a747a4210ee6e8dd31e74a08ef.jpg,5.6,800,400,11:05:15
+1.0,2012-03-20,2012-03-20 13:58:58,0,3,1744b57a6d02d3794d9ab9b92ac583a8.jpg,5.6,800,400,13:58:58
+1.0,2012-04-03,2012-04-03 09:37:30,0,3,9133bee72f7e81aa3d3206a28ebdaf75.jpg,5.6,800,400,09:37:30
+1.0,2013-01-29,2013-01-29 12:09:19,1,1,0ffdc689f844fa5232817606b6c722e6.jpg,5.6,800,100,12:09:19
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+++ b/site/content/pages/datasets/uccs/index.md
@@ -1,112 +1,131 @@
 ------------
 
 status: published
-title: Unconstrained College Students
+title: UnConstrained College Students
 slug: uccs
-desc: <span class="dataset-name">Unconstrained College Students (UCCS)</span> is a dataset of long-range surveillance photos of students taken without their knowledge
-subdesc: The UCCS dataset includes 16,149 images and 1,732 identities of students at University of Colorado Colorado Springs campus and is used for face recognition and face detection
+desc: <span class="dataset-name">UnConstrained College Students</span> is a dataset of long-range surveillance photos of students on University of Colorado in Colorado Springs campus
+subdesc: The UnConstrained College Students dataset includes 16,149 images of 1,732 students, faculty, and pedestrians and is used for developing face recognition and face detection algorithms
+image: assets/background.jpg
 cssclass: dataset
 image: assets/background.jpg
 slug: uccs
 published: 2019-2-23
-updated: 2019-2-23
+updated: 2019-4-15
 authors: Adam Harvey
 
 ------------
 
-### sidebar
+## UnConstrained College Students
 
-+ Published: 2018
-+ Images: 16,149
-+ Identities: 1,732
-+ Used for: Face recognition, face detection
-+ Created by: Unviversity of Colorado Colorado Springs (US)
-+ Funded by: ODNI, IARPA, ONR MURI, Amry SBIR, SOCOM SBIR
-+ Website: <a href="https://vast.uccs.edu/Opensetface/">vast.uccs.edu</a>
+### sidebar
+### end sidebar
 
+UnConstrained College Students (UCCS) is a dataset of long-range surveillance photos captured at University of Colorado Colorado Springs developed primarily for research and development of "face detection and recognition research towards surveillance applications"[^uccs_vast]. According to the authors of [two](https://www.semanticscholar.org/paper/Unconstrained-Face-Detection-and-Open-Set-Face-G%C3%BCnther-Hu/d4f1eb008eb80595bcfdac368e23ae9754e1e745) [papers](https://www.semanticscholar.org/paper/Large-scale-unconstrained-open-set-face-database-Sapkota-Boult/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1) associated with the dataset, over 1,700 students and pedestrians were "photographed using a long-range high-resolution surveillance camera without their knowledge".[^funding_uccs] In this investigation, we examine the contents of the [dataset](http://vast.uccs.edu/Opensetface/), its funding sources, photo EXIF data, and information from publicly available research project citations.
 
-## Unconstrained College Students ...
+The UCCS dataset includes over 1,700 unique identities, most of which are students walking to and from class. As of 2018, it was the "largest surveillance [face recognition] benchmark in the public domain."[^surv_face_qmul] The photos were taken during the spring semesters of 2012 &ndash; 2013 on the West Lawn of the University of Colorado Colorado Springs campus. The photographs were timed to capture students during breaks between their scheduled classes in the morning and afternoon during Monday through Thursday. "For example, a student taking Monday-Wednesday classes at 12:30 PM will show up in the camera on almost every Monday and Wednesday."[^sapkota_boult]. 
 
-(PAGE UNDER DEVELOPMENT)
 
-Unconstrained College Students (UCCS) is a dataset of long-range surveillance photos captured at University of Colorado Colorado Springs. According to the authors of two papers associated with the dataset, subjects were "photographed using a long-range high-resolution surveillance camera without their knowledge" [^funding_sb]. The images were captured using a Canon 7D digital camera fitted with a Sigma 800mm telephoto lens pointed out the window of an office. 
+![caption: The location at University of Colorado Colorado Springs where students were surreptitiously photographed with a long-range surveillance camera for use in a defense and intelligence agency funded research project on face recognition. Image: Google Maps](assets/uccs_map_aerial.jpg)
 
-The UCCS dataset was funded by ODNI (Office of Director of National Intelligence), IARPA (Intelligence Advance Research Projects Activity), ONR MURI Office of Naval Research and The Department of Defense Multidisciplinary University Research Initiative, Army SBIR (Small Business Innovation Research), SOCOM SBIR (Special Operations Command and Small Business Innovation Research), and the National Science Foundation.
 
-The images in UCCS include students walking between classes on campus over 19 days in 2012 - 2013. The dates include:
+The long-range surveillance images in the UnConsrained College Students dataset were taken using a Canon 7D 18-megapixel digital camera fitted with a Sigma 800mm F5.6 EX APO DG HSM telephoto lens and pointed out an office window across the university's West Lawn. The students were photographed from a distance of approximately 150 meters through an office window. "The camera [was] programmed to start capturing images at specific time intervals between classes to maximize the number of faces being captured."[^sapkota_boult]
+Their setup made it impossible for students to know they were being photographed, providing the researchers with realistic surveillance images to help build face recognition systems for real world applications for defense, intelligence, and commercial partners.
 
-| Year | Month | Day | Date | Time Range | Photos |
-| --- | --- | --- | --- | --- | --- |
-| 2012 | Februay | --- | 23 | - | 132 |
-| 2012 | March | --- | 6 | - | - |
-| 2012 | March | --- | 8 | - | - |
-| 2012 | March | --- | 13 | - | - |
-| 2012 | Februay | --- | 23 | - | 132 |
-| 2012 | March | --- | 6 | - | - |
-| 2012 | March | --- | 8 | - | - |
-| 2012 | March | --- | 13 | - | - |
-| 2012 | Februay | --- | 23 | - | 132 |
-| 2012 | March | --- | 6 | - | - |
-| 2012 | March | --- | 8 | - | - |
-| 2012 | March | --- | 13 | - | - |
-| 2012 | Februay | --- | 23 | - | 132 |
-| 2012 | March | --- | 6 | - | - |
-| 2012 | March | --- | 8 | - | - |
-| 2012 | March | --- | 13 | - | - |
-| 2012 | Februay | --- | 23 | - | 132 |
-| 2012 | March | --- | 6 | - | - |
-| 2012 | March | --- | 8 | - | - |
+![caption: Example images from the UnConstrained College Students Dataset. ](assets/uccs_grid.jpg)
 
+The EXIF data embedded in the images shows that the photo capture times follow a similar pattern to that outlined by the researchers, but also highlights that the vast majority of photos (over 7,000) were taken on Tuesdays around noon during students' lunch break. The lack of any photos taken between Friday through Sunday shows that the researchers were only interested in capturing images of students during the peak campus hours.
 
-2012-03-20
-2012-03-22
-2012-04-03
-2012-04-12
-2012-04-17
-2012-04-24
-2012-04-25
-2012-04-26
-2013-01-28
-2013-01-29
-2013-02-13
-2013-02-19
-2013-02-20
-2013-02-26
+![caption: UCCS photos captured per weekday &copy; megapixels.cc](assets/uccs_exif_plot_days.png)
 
-![caption: The pixel-average of all Uconstrained College Students images is shown with all 51,838 face annotations. (c) Adam Harvey](assets/uccs_mean_bboxes_comp.jpg)
+![caption: UCCS photos captured per weekday &copy; megapixels.cc](assets/uccs_exif_plot.png)
 
 
-{% include 'map.html' %}
+The two research papers associated with the release of the UCCS dataset ([Unconstrained Face Detection and Open-Set Face Recognition Challenge](https://www.semanticscholar.org/paper/Unconstrained-Face-Detection-and-Open-Set-Face-G%C3%BCnther-Hu/d4f1eb008eb80595bcfdac368e23ae9754e1e745) and [Large Scale Unconstrained Open Set Face Database](https://www.semanticscholar.org/paper/Large-scale-unconstrained-open-set-face-database-Sapkota-Boult/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1)), acknowledge that the primary funding sources for their work were United States defense and intelligence agencies. Specifically, development of the UnContsrianed College Students dataset was funded by the Intelligence Advanced Research Projects Activity (IARPA), Office of Director of National Intelligence (ODNI), Office of Naval Research and The Department of Defense Multidisciplinary University Research Initiative (ONR MURI), and the Special Operations Command and Small Business Innovation Research (SOCOM SBIR) amongst others. UCCS's VAST site also explicitly [states](https://vast.uccs.edu/project/iarpa-janus/) their involvement in the [IARPA Janus](https://www.iarpa.gov/index.php/research-programs/janus) face recognition project developed to serve the needs of national intelligence, establishing that immediate benefactors of this dataset include United States defense and intelligence agencies, but it would go on to benefit other similar organizations.
 
-{% include 'chart.html' %}
+In 2017, one year after its public release, the UCCS face dataset formed the basis for a defense and intelligence agency funded [face recognition challenge](http://www.face-recognition-challenge.com/) project at the International Joint Biometrics Conference in Denver, CO. And in 2018 the dataset was again used for the [2nd Unconstrained Face Detection and Open Set Recognition Challenge](https://erodner.github.io/ial2018eccv/) at the European Computer Vision Conference (ECCV) in Munich, Germany. 
 
-{% include 'piechart.html' %}
+As of April 15, 2019, the UCCS dataset is no longer available for public download. But during the three years it was publicly available (2016-2019) the UCCS dataset appeared in at least 6 publicly available research papers including verified usage from Beihang University who is known to provide research and development for China's military; and Vision Semantics Ltd who lists the UK Ministory of Defence as a project partner.
 
-{% include 'citations.html' %}
+{% include 'dashboard.html' %}
 
 {% include 'supplementary_header.html' %}
 
-The original Sapkota and Boult dataset, from which UCCS is derived, received funding from[^funding_sb]:
+Since this site To show the types of face images used in the UCCS student dataset while protecting their individual privacy, a generative adversarial network was used to interpolate between identities in the dataset. The image below shows a generative adversarial network trained on the UCCS face bounding box areas from 16,000 images and over 90,000 face regions.
+
+![caption: GAN generated approximations of students in the UCCS dataset. &copy; megapixels.cc 2018](assets/uccs_pgan_01.jpg)
+
+
+=== columns 2
+
+#### UCCS photos taken in 2012
+
+| Date  | Photos |
+| --- | --- |
+| Feb 23, 2012 | 132 |
+| March 6, 2012 | 288 |
+| March 8, 2012 | 506 |
+| March 13, 2012 | 160 |
+| March 20, 2012 | 1,840 |
+| March 22, 2012 | 445 |
+| April 3, 2012 | 1,639 |
+| April 12, 2012 | 14 |
+| April 17, 2012 | 19 |
+| April 24, 2012 | 63 |
+| April 25, 2012 | 11 |
+| April 26, 2012 | 20 |
+
+===========
+
+#### UCCS photos taken in 2013
+
+| Date  | Photos |
+| --- | --- |
+| Jan 28, 2013 | 1,056 |
+| Jan 29, 2013 | 1,561 |
+| Feb 13, 2013 | 739 |
+| Feb 19, 2013 | 723 |
+| Feb 20, 2013 | 965 |
+| Feb 26, 2013 | 736 |
+
+=== end columns
+
+
+### Location
+
+The location of the camera and subjects was confirmed using several visual cues in the dataset images: the unique pattern of the sidewalk that is only used on the UCCS Pedestrian Spine near the West Lawn, the two UCCS sign poles with matching graphics still visible in Google Street View, the no parking sign and directionality of its arrow, the back of street sign next to it, the slight bend in the sidewalk, the presence of cars passing in the background of the image, and the far wall of the parking garage all match images in the dataset. The [original papers](https://www.semanticscholar.org/paper/Large-scale-unconstrained-open-set-face-database-Sapkota-Boult/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1) also provides another clue: a [picture of the camera](https://www.semanticscholar.org/paper/Large-scale-unconstrained-open-set-face-database-Sapkota-Boult/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1/figure/1) inside the office that was used to create the dataset. The window view in this image provides another match for the brick pattern on the north facade of the Kraember Family Library and the green metal fence along the sidewalk. View the [location on Google Maps](https://www.google.com/maps/place/University+of+Colorado+Colorado+Springs/@38.8934297,-104.7992445,27a,35y,258.51h,75.06t/data=!3m1!1e3!4m5!3m4!1s0x87134fa088fe399d:0x92cadf3962c058c4!8m2!3d38.8968312!4d-104.8049528)
+
+![caption: 3D view showing the angle of view of the surveillance camera used for UCCS dataset. Image: Google Maps](assets/uccs_map_3d.jpg)
+
+
+### Funding
+
+The UnConstrained College Students dataset is associated with two main research papers: "Large Scale Unconstrained Open Set Face Database" and "Unconstrained Face Detection and Open-Set Face Recognition Challenge". Collectively, these papers and the creation of the dataset have received funding from the following organizations:
 
 - ONR (Office of Naval Research) MURI (The Department of Defense Multidisciplinary University Research Initiative) grant N00014-08-1-0638
 - Army SBIR (Small Business Innovation Research) grant W15P7T-12-C-A210
 - SOCOM (Special Operations Command) SBIR (Small Business Innovation Research) grant H92222-07-P-0020
-
-The more recent UCCS version of the dataset received funding from [^funding_uccs]:
-
 - National Science Foundation Grant IIS-1320956
 - ODNI (Office of Director of National Intelligence)
 - IARPA (Intelligence Advance Research Projects Activity) R&D contract 2014-14071600012
 
+### Opting Out
+
+If you attended University of Colorado Colorado Springs and were captured by the long range surveillance camera used to create this dataset, there is unfortunately currently no way to be removed. The authors do not provide any options for students to opt-out nor were students informed they would be used for training face recognition. According to the authors, the lack of any consent or knowledge of participation is what provides part of the value of Unconstrained College Students Dataset.
+
+### Ethics
+
+- Please direct any questions about the ethics of the dataset to the University of Colorado Colorado Springs [Ethics and Compliance Office](https://www.uccs.edu/compliance/)
+- For further technical information about the UnConstrained College Students dataset, visit the [UCCS dataset project page](https://vast.uccs.edu/Opensetface). 
+
+### Downloads
 
-### TODO
+- Download EXIF data for UCCS photos: [uccs_camera_exif.csv](https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/uccs_camera_exif.csv)
 
-- add tabulator module for dates
-- parse dates into CSV using Python
-- get google image showing line of sight?
-- fix up quote/citations
+{% include 'cite_our_work.html' %}
 
-### footnotes
+### Footnotes
 
-[^funding_sb]: Sapkota, Archana and Boult, Terrance. "Large Scale Unconstrained Open Set Face Database." 2013.
-[^funding_uccs]: Günther, M. et. al. "Unconstrained Face Detection and Open-Set Face Recognition Challenge," 2018. Arxiv 1708.02337v3.
\ No newline at end of file
+[^uccs_vast]: "2nd Unconstrained Face Detection and Open Set Recognition Challenge." <https://vast.uccs.edu/Opensetface/>. Accessed April 15, 2019.
+[^sapkota_boult]: Sapkota, Archana and Boult, Terrance. "Large Scale Unconstrained Open Set Face Database." 2013.
+[^funding_uccs]: Günther, M. et. al. "Unconstrained Face Detection and Open-Set Face Recognition Challenge," 2018. Arxiv 1708.02337v3.
+[^surv_face_qmul]: "Surveillance Face Recognition Challenge". [SemanticScholar](https://www.semanticscholar.org/paper/Surveillance-Face-Recognition-Challenge-Cheng-Zhu/2306b2a8fba28539306052764a77a0d0f5d1236a)
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diff --git a/site/content/pages/datasets/vgg_face2/assets/lfw_commercial_use.csv b/site/content/pages/datasets/vgg_face2/assets/lfw_commercial_use.csv
deleted file mode 100644
index 70e2fdeb..00000000
--- a/site/content/pages/datasets/vgg_face2/assets/lfw_commercial_use.csv
+++ /dev/null
@@ -1,44 +0,0 @@
-"name_display","company_url","example_url","country","description"
-"Aratek","http://www.aratek.co/","","China","Biometric sensors for telecom, civil identification, finance, education, POS, and transportation"
-"Asaphus","https://asaphus.de/","","Germany","Face recognition for home appliances and autonomous vehicles interaction"
-"Aureus","https://cyberextruder.com/biometric-face-recognition-software-use-cases/","","USA","Retail loss prevention solutions, biometric access control, law enforcement and safe city applications, gaming and hospitality applications"
-"Baidu","http://research.baidu.com/institute-of-deep-learning/","https://www.newscientist.com/article/2113176-chinese-tourist-town-uses-face-recognition-as-an-entry-pass/","China","Retail payment, transportation, civil identification"
-"Betaface","https://www.betaface.com/","","Germany","Web advertising and entertainment, video surveillance, security software, b2b software"
-"Yi+AI","http://www.dress-plus.com/solution","","China","Scenario-based advertising, real-time personalized recommendation, character recognition for ads placement"
-"CM-CV&AR","http://www.cloudminds.com/","","USA","Human augmented robot intelligence"
-"Samtech","http://samtechinfonet.com/products_frs.php","","India","Facilities management, infrastructure support"
-"ColorReco","http://www.colorreco.com/","","China","Face login verification, online payment security verification, access control system identity authentication and face recognition lock, mobile payment, driver fatigue recognition, virtual makeup"
-"CloudWalk","www.cloudwalk.cn/","https://qz.com/africa/1287675/china-is-exporting-facial-recognition-to-africa-ensuring-ai-dominance-through-diversity/","China","Security and law enforcement. Being deployed in Zimbabwe"
-"Cylltech","http://www.cylltech.com.cn/","","China","Conference management, social assistance, civil access, media orientation, precision marketing, scenic intelligence, tourism management"
-"Dahua-FaceImage","https://www.dahuasecurity.com/","https://www.dahuasecurity.com/solutions/solutionsbyapplication/23","China","Public security, public access control, finance"
-"Daream","http://www.daream.com","","China","Fatigue and distraction detection for autonomous vehicles"
-"Deepmark","https://deepmark.ru/","","Russia","Workplace access control"
-"Easen Electron","http://www.easen-electron.com","","China","Face recognition door locks for automobiles"
-"Ever AI","https://ever.ai/","","USA","Law enforcement, smart cities, surveillance, building security, retail, payments, autonomous vehicles, grocery stores, enhanced marketing"
-"Facebook (Face.com)","https://en.wikipedia.org/wiki/Face.com","","USA","Sold to facebook in 2012, and now incorporated into DeepFace"
-"Face++","https://www.faceplusplus.com/","","China","Audience engagement analysis, interactive marketing, gaming, photo album processing, security for mobile payments"
-"Faceall","http://www.faceall.cn/index.en.html","","China","Internet banking, insurance, automated surveillance, access control, photo refinement, avatar creation"
-"Faceter","https://faceter.io","","USA","Workforce attendence reporting and analytics, home video surveillance, retail customer behavior, GPU mining compatible"
-"Facevisa","http://www.facevisa.com","","China","Face detection, face key point positioning, living body certification, facial attribute analysis"
-"Fujitsu R&D","https://www.fujitsu.com/cn/en/about/local/subsidiaries/frdc/","","Japan","Consumer cameras"
-"SenseTime","https://www.sensetime.com/","","Hong Kong","Surveillance, access control, image retrieval, and automatic log-on for personal computer or mobile devices"
-"Turing Robot","http://www.tuling123.com/","http://biz.turingos.cn/home","China","Emotion recognition and analysis for robots and toys, chatbots and digital assistants"
-"NEC","https://www.nec.com/en/press/201407/global_20140716_01.html","https://arxiv.org/abs/1212.6094","Japan","Law enforcement, event crowd monitoring, used specificallfy by Metropolitan police in UK"
-"Aurora","http://auroracs.co.uk/","","UK","Face recognition in airports for security, queue management, x-ray divestment tray linkage"
-"VisionLabs","https://visionlabs.ai/","https://venturebeat.com/2016/07/07/russian-facial-recognition-startup-visionlabs-raises-5-5m-after-partnering-with-facebook-and-google/","Russia","Video surveillance, banking and finance, customer authentication for retail"
-"Yunshitu","http://yunshitu.cn","","China","Security, Internet, broadcasting and other industries"
-"Glasssix","http://www.glasssix.com/","","China","School attendance, workforce monitoring"
-"Hisign","http://www.hisign.com.cn/en-us/index.aspx","https://www.bloomberg.com/research/stocks/private/snapshot.asp?privcapId=52323181","China","Criminal investigation information application, and financial big data risk prevention and control products in China"
-"icarevision","http://www.icarevision.cn","https://www.bloomberg.com/research/stocks/private/snapshot.asp?privcapId=306707800","China","Video surveillance"
-"IntelliVision","https://www.intelli-vision.com/facial-recognition/","https://www.bloomberg.com/profiles/companies/0080393D:US-intellivision-technologies-corp","USA","Smart homes and buildings, smart security, smart city, smart retail, Smart auto"
-"Meiya Pico","https://meiyapico.com/","https://www.bloomberg.com/research/stocks/private/snapshot.asp?privcapId=117577345","China","Digital forensics and information security products and services in China"
-"Orion Star","https://www.ainirobot.com/#sixthPage","https://www.prnewswire.com/news-releases/orionstar-wins-challenge-to-recognize-one-million-celebrity-faces-with-artificial-intelligence-300494265.html","China","Face recognition for robots and livestream video censoring"
-"Pegatron","http://www.pegatroncorp.com","","China","Workforce attendance"
-"PingAn AI Lab","http://www.pingan.com/","https://www.biometricupdate.com/201703/ping-an-technology-developing-ai-face-recognition-technology-with-record-results","China","Financial services, lending"
-"ReadSense","http://www.readsense.ai/","","China","Access control, traffic analysis, crowd analysis, head counting, drone vision, home appliances, community surveillance, custom attention analysis"
-"sensingtech","www.sensingtech.com.cn","","China","Workplace entrypoint authentication"
-"TCIT","http://www.tcit-us.com/?p=4023","","Taiwan","Retail analytics, workplace access control"
-"TerminAI","terminai.com","","China","Smart office, smart city, smart gym, smart medical, smart community"
-"Uni-Ubi","http://uni-ubi.com/","","China","Facial recognition for education, business, community, construction"
-"Tencent YouTu Lab","http://bestimage.qq.com/","","China","Consumer applications for automatic facial beauty"
-"Yuntu WiseSight","http://www.facelab.cn/","","China","Intrusion alarm, access control, access control, electronic patrol, and network alarm. detect suspicious personnel, real-name authentication, and public security, customs, airports, railways and other government security agencies, electronic patrol"
\ No newline at end of file
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deleted file mode 100644
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diff --git a/site/content/pages/datasets/vgg_face2/assets/lfw_names_gender_kg_min.csv b/site/content/pages/datasets/vgg_face2/assets/lfw_names_gender_kg_min.csv
deleted file mode 100644
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--- a/site/content/pages/datasets/vgg_face2/assets/lfw_names_gender_kg_min.csv
+++ /dev/null
@@ -1,5750 +0,0 @@
-description,gender,images,name
-Canadian actress,f,1,AJ Cook
-American actor,m,1,AJ Lamas
-American actor,m,1,Aaron Eckhart
-Professional baseball player,m,1,Aaron Guiel
-Author,m,1,Aaron Patterson
-American swimmer,m,4,Aaron Peirsol
-Attorney,m,1,Aaron Pena
-American screenwriter,m,2,Aaron Sorkin
-American musical artist,m,1,Aaron Tippin
-Diplomat,m,1,Abba Eban
-Iranian film director,m,1,Abbas Kiarostami
-Former Prime Minister of Iraq,m,1,Abdel Aziz Al-Hakim
-,m,1,Abdel Madi Shabneh
-,m,2,Abdel Nasser Assidi
-Former President of Senegal,m,4,Abdoulaye Wade
-,m,1,Abdul Majeed Shobokshi
-Former Prime Minister of Malaysia,m,1,Abdul Rahman
-Politician,m,1,Abdulaziz Kamilov
-King of Saudi Arabia,m,4,Abdullah
-Former Prime Minister of Malaysia,m,1,Abdullah Ahmad Badawi
-Former President of Turkey,m,19,Abdullah Gul
-Saudi chemist,m,1,Abdullah Nasseef
-Qatari rally driver,m,3,Abdullah al-Attiyah
-Turkish Politician,m,2,Abdullatif Sener
-Colombian soccer player,m,1,Abel Aguilar
-Former President of Costa Rica,m,4,Abel Pacheco
-Iraqi military officer,m,3,Abid Hamid Mahmud Al-Tikriti
-,m,1,Abner Martinez
-Lawyer,m,1,Abraham Foxman
-,m,1,Aby Har-Even
-English singer,m,1,Adam Ant
-Rugby union hooker,m,1,Adam Freier
-,m,1,Adam Herbert
-American baseball athlete,m,1,Adam Kennedy
-Canadian ice hockey player,m,1,Adam Mair
-American actor,m,1,Adam Rich
-American actor,m,4,Adam Sandler
-American actor,m,2,Adam Scott
-Minister of Foreign Affairs of Saudi Arabia,m,3,Adel Al-Jubeir
-,f,1,Adelina Avila
-,m,1,Adisai Bodharamik
-Mexican diplomat,m,3,Adolfo Aguilar Zinser
-Former President of Argentina,m,2,Adolfo Rodriguez Saa
-,m,1,Adoor Gopalakarishnan
-Olympic athlete,m,1,Adrian Annus
-Racing driver,m,1,Adrian Fernandez
-Football player,m,2,Adrian McPherson
-Football player,m,1,Adrian Murrell
-Romanian Politician,m,2,Adrian Nastase
-Model,f,1,Adriana Lima
-,f,1,Adriana Perez Navarro
-,f,1,Adrianna Zuzic
-American actor,m,12,Adrien Brody
-Actress,f,1,Afton Smith
-Nigerian model,f,1,Agbani Darego
-Brazilian Politician,m,1,Agnelo Queiroz
-American actress,f,1,Agnes Bruckner
-,m,1,Ahmad Jbarah
-Afghan Political leader,m,2,Ahmad Masood
-Actor,m,1,Ahmed Ahmed
-Iraqi Politician,m,5,Ahmed Chalabi
-Pakistani jurist,m,1,Ahmed Ghazi
-,m,1,Ahmed Ibrahim Bilal
-,m,1,Ahmed Lopez
-Palestinian author,m,1,Ahmed Qureia
-Austrian politician,m,1,Ahmet Demir
-Former President of Turkey,m,2,Ahmet Necdet Sezer
-Japanese tennis player,f,5,Ai Sugiyama
-,f,3,Aicha El Ouafi
-American-Irish actor,m,1,Aidan Quinn
-American swimmer,f,1,Aileen Riggin Soule
-Estonian politician,m,1,Ain Seppik
-,m,1,Ainsworth Dyer
-Indian actress,f,1,Aishwarya Rai
-Spanish bicycler,m,2,Aitor Gonzalez
-Basketball player,f,1,Aiysha Smith
-Indian cricketer,m,1,Ajit Agarkar
-CEO of Qatar Airways,m,1,Akbar Al Baker
-Former President of Iran,m,3,Akbar Hashemi Rafsanjani
-Deputy,m,3,Akhmed Zakayev
-Japanese tennis player,f,1,Akiko Morigami
-,m,1,Akmal Taher
-Lawyer,m,1,Al Cardenas
-Football coach,m,2,Al Davis
-Former Vice President of the United States,m,8,Al Gore
-Baseball player,m,1,Al Leiter
-American actor,m,3,Al Pacino
-American activist,m,7,Al Sharpton
-Soccer player,m,1,Alain Cervantes
-Monégasque chef,m,1,Alain Ducasse
-English soccer player,m,2,Alan Ball
-American lawyer,m,1,Alan Dershowitz
-,m,1,Alan Dreher
-Former Chair of the Federal Reserve of the United States,m,5,Alan Greenspan
-Interim Chairman of the Board of Directors of Camillus House,m,1,Alan Greer
-American singer-songwriter,m,1,Alan Jackson
-American engineer,m,2,Alan Mulally
-,m,1,Alan Stonecipher
-Film actor,m,1,Alan Tang Kwong-wing
-American baseball coach,m,1,Alan Trammell
-Football player,m,1,Alan Zemaitis
-American-Canadian singer-songwriter,f,1,Alanis Morissette
-American actress,f,1,Alanna Ubach
-Scottish judge,m,5,Alastair Campbell
-Scottish executive,m,1,Alastair Johnston
-,m,1,Albaro Recoba
-American actor,m,1,Albert Brooks
-Tennis player,m,6,Albert Costa
-Tennis player,m,1,Albert Montanes
-Baseball first baseman,m,1,Albert Pujols
-Actress,f,1,Alberta Lee
-Argentine soccer player,m,1,Alberto Acosta
-Politician,m,2,Alberto Fujimori
-United States Attorney General,m,1,Alberto Gonzales
-Spanish Politician,m,2,Alberto Ruiz Gallardon
-Italian actor,m,1,Alberto Sordi
-,m,2,Albrecht Mentz
-Soccer player,m,2,Aldo Paredes
-American actor,m,4,Alec Baldwin
-,m,1,Alecos Markides
-Uruguayan lawyer,m,2,Alejandro Atchugarry
-Mexican actor,m,3,Alejandro Avila
-Mexican singer,m,1,Alejandro Fernandez
-Mexican film director,m,1,Alejandro Gonzalez Inarritu
-Uruguayan soccer player,m,1,Alejandro Lembo
-Argentine musician,m,1,Alejandro Lerner
-Actor,m,1,Alejandro Lopez
-President of Peru,m,39,Alejandro Toledo
-British-Sudanese model,f,1,Alek Wek
-Former President of Poland,m,4,Aleksander Kwasniewski
-,m,1,Aleksander Voloshin
-,f,1,Alessandra Cerna
-Italian football manager,m,1,Alessandro Nesta
-Brazilian motorcycle road racer,m,2,Alex Barros
-Baseball player,m,1,Alex Cabrera
-Professional golfer,m,1,Alex Cejka
-Tennis player,m,1,Alex Corretja
-Former soccer player,m,1,Alex Ferguson
-Spanish actor,m,1,Alex Gonzalez
-Television producer,m,1,Alex Holmes
-German basketball player,m,1,Alex King
-,m,2,Alex Penelas
-Swimmer,m,1,Alex Popov
-American Politician,f,3,Alex Sink
-,m,1,Alex Wallau
-Italian racing driver,m,1,Alex Zanardi
-,f,1,Alexa Loren
-American actress,f,1,Alexa Vega
-Former Member of the Australian House of Representatives,m,4,Alexander Downer
-Russian-Soviet diplomat,m,4,Alexander Losyukov
-President of Belarus,m,1,Alexander Lukashenko
-American film director,m,1,Alexander Payne
-Diplomat,m,2,Alexander Rumyantsev
-British swimmer,f,1,Alexandra Jackson
-American journalist,f,1,Alexandra Pelosi
-,f,1,Alexandra Rozovskaya
-Breaststroke swimmer,f,1,Alexandra Spann
-Tennis player,f,3,Alexandra Stevenson
-,f,2,Alexandra Vodjanikova
-Canadian ice hockey player,m,1,Alexandre Daigle
-Canadian diver,m,1,Alexandre Despatie
-Brazilian fashion designer,m,1,Alexandre Herchcovitch
-General manager of the Team Astana,m,1,Alexandre Vinokourov
-American actress,f,1,Alexis Bledel
-,m,1,Alexis Dennisoff
-Mexican film director,m,1,Alfonso Cuaron
-Guatemalan Politician,m,1,Alfonso Portillo
-Baseball second baseman,m,1,Alfonso Soriano
-American businessman,m,1,Alfred Ford
-Maltese Politician,m,1,Alfred Sant
-Argentine-Mexican soccer player,m,1,Alfredo Moreno
-Venezuelan journalist,m,1,Alfredo Pena
-Soccer player,m,1,Alfredo di Stefano
-Warrior,m,2,Ali Abbas
-Former President of the Yemen Arab Republic,m,1,Ali Abdullah Saleh
-,m,1,Ali Adbul Karim Madani
-Macedonian Politician,m,1,Ali Ahmeti
-,m,1,Ali Bin Hussein
-Iranian Politician,m,1,Ali Fallahian
-,m,1,Ali Hammoud
-Supreme Leader of Iran,m,3,Ali Khamenei
-,m,1,Ali Mohammed Maher
-,m,8,Ali Naimi
-Nurse,f,2,Alice Fisher
-Softball player,f,1,Alicia Hollowell
-American singer-songwriter,f,1,Alicia Keys
-Australian tennis player,f,1,Alicia Molik
-American actress,f,2,Alicia Silverstone
-American actress,f,1,Alicia Witt
-Businessman,m,2,Alimzhan Tokhtakhounov
-Russian gymnast,f,1,Alina Kabaeva
-Jean Chrétien's wife,f,1,Aline Chretien
-,f,1,Alisha Richman
-American singer,f,1,Alison Krauss
-American actress,f,2,Alison Lohman
-Justice,m,1,Alistair MacDonald
-American basketball player,m,1,Allan Houston
-,m,1,Allan Kemakeza
-Peruvian diplomat,m,1,Allan Wagner
-American basketball player,m,2,Allen Iverson
-"Island in Salisbury, Massachusetts",m,1,Allen Rock
-American actress,f,2,Allison Janney
-,m,1,Allison Searing
-American actress,f,1,Ally Sheedy
-American track and field athlete,f,5,Allyson Felix
-American audiologist,f,1,Alma Powell
-,m,1,Almeida Baptista
-American basketball player,m,1,Alonzo Mourning
-Businessman,m,3,Alvaro Noboa
-Venezuelan lawyer,m,4,Alvaro Silva Calderon
-Former President of Colombia,m,35,Alvaro Uribe
-Sports commentator,f,1,Aly Wagner
-,f,1,Alyse Beaupre
-American actress,f,1,Alyson Hannigan
-American swimmer,f,2,Amanda Beard
-American actress,f,4,Amanda Bynes
-South African tennis player,f,2,Amanda Coetzer
-Fictional character,f,1,Amanda Marsh
-,f,1,Amanda Plumer
-,f,1,Amber Frey
-American actress,f,2,Amber Tamblyn
-,m,1,Ambrose Lee
-Dominican actress,f,7,Amelia Vega
-French tennis player,f,21,Amelie Mauresmo
-Iraqi chemist,m,4,Amer al-Saadi
-,f,1,Amporn Falise
-Egyptian Politician,m,1,Amr Moussa
-Israeli Politician,m,2,Amram Mitzna
-American actress,f,1,Amy Brenneman
-Judoka,f,1,Amy Cotton
-Dramaturge,f,1,Amy Gale
-American business executive,f,1,Amy Pascal
-American actress,f,1,Amy Redford
-American actress,f,1,Amy Smart
-American actress,f,1,Amy Yasbeck
-,m,1,AnFernce Negron
-Mexican actress,f,1,Ana Claudia Talancon
-Senator of the Mexican Republic,f,7,Ana Guevara
-Researcher,f,1,Ana Isabel Sanchez
-Foreign minister,f,8,Ana Palacio
-Carlos Salinas de Gortari's wife,f,1,Ana Paula Gerard
-,f,1,Ana Sebastiao
-Olympic athlete,f,1,Anastasia Kelesidou
-Tennis player,f,3,Anastasia Myskina
-Former First Vice Prime Minister of Ukraine,m,1,Anatoliy Kinakh
-,m,3,Anders Ebbeson
-Former Prime Minister of Denmark,m,4,Anders Fogh Rasmussen
-Brazilian basketball player,m,1,Anderson Varejao
-American tennis player,m,36,Andre Agassi
-Swiss olympic athlete,m,1,Andre Bucher
-Bobsledder,m,1,Andre Lange
-Football offensive tackle,m,1,Andre Smith
-French screenwriter,m,1,Andre Techine
-Italian singer-songwriter,m,1,Andrea Bocelli
-Singaporean actress,f,1,Andrea De Cruz
-,f,1,Andrea Kiser
-,f,1,Andrea Yates
-Tennis player,m,1,Andreas Vinciguerra
-Film director,m,1,Andrei Konchalovsky
-Belarusian olympic athlete,m,2,Andrei Mikhnevich
-,m,1,Andrei Nikolishin
-Soccer player,m,1,Andres DAlessandro
-President of Mexico,m,1,Andres Manuel Lopez Obrador
-Former President of Colombia,m,1,Andres Pastrana
-Fictional character,m,1,Andrew Bernard
-,m,2,Andrew Bunner
-,m,1,Andrew Caldecott
-Governor of New York,m,2,Andrew Cuomo
-Criminal,m,1,Andrew Fastow
-American TV personality,m,1,Andrew Firestone
-British journalist,m,1,Andrew Gilligan
-American filmmaker,m,1,Andrew Jarecki
-,m,1,Andrew Luster
-New Zealand screenwriter,m,2,Andrew Niccol
-,m,1,Andrew Sabey
-,m,1,Andrew Shutley
-American attorney,m,3,Andrew Weissmann
-,m,1,Andrew Wetzler
-,m,1,Andrzej Tyszkiewicz
-Baseball player,m,1,Andy Benes
-,m,1,Andy Bryant
-American comedian,m,1,Andy Dick
-American-Cuban actor,m,1,Andy Garcia
-Football manager,m,1,Andy Graves
-American comedy series,m,1,Andy Griffith
-American musical artist,m,1,Andy Griggs
-,m,2,Andy Hebb
-Actor,m,1,Andy Lau
-,m,1,Andy Madikians
-American professional golfer,m,1,Andy North
-Film editor,m,1,Andy Perez
-American tennis player,m,15,Andy Roddick
-American television writer,m,1,Andy Rooney
-American artist,m,1,Andy Warhol
-,m,1,Andy Wisecarver
-American mechanical engineer,f,1,Anette Hosoi
-,m,1,Angel Lockward
-Argentine Politician,m,1,Angel Maza
-American actress,f,1,Angela Alvarado Rosa
-American actress,f,6,Angela Bassett
-Actress,f,2,Angela Lansbury
-,f,1,Angela Mascia-Frye
-Chancellor of Germany,f,5,Angela Merkel
-Juan Francisco Estrada's mother,f,1,Angelica Romero
-Actress,f,20,Angelina Jolie
-,m,1,Angelo Genova
-,m,4,Angelo Reyes
-,f,1,Angie Arzola
-American radio personality,f,1,Angie Martinez
-Former Chief of Government of Buenos Aires,m,3,Anibal Ibarra
-,m,1,Anil Ramsook
-Olympic athlete,f,1,Anita DeFrantz
-Swedish alpine skier,f,1,Anja Paerson
-,m,1,Anjum Hussain
-,f,1,Ann Godbehere
-American columnist,f,1,Ann Landers
-American television actress,f,1,Ann Morgan
-Former United States Secretary of Agriculture,f,11,Ann Veneman
-Olympic athlete,f,1,Anna Chicherova
-American actress,f,1,Anna Faris
-Author,f,1,Anna Jones
-Russian tennis player,f,12,Anna Kournikova
-American model,f,2,Anna Nicole Smith
-,f,1,Anne Cavers
-American basketball player,f,1,Anne Donovan
-American actress,f,1,Anne Heche
-American economist,f,3,Anne Krueger
-Canadian Politician,f,3,Anne McLellan
-,f,1,Anne ONeil
-Finnish Politician,f,2,Anneli Jaatteenmaki
-American actress,f,2,Annette Bening
-Politician,f,3,Annette Lu
-,f,1,Annie-Jeanne Reynaud
-Actress,f,1,Annie Chaplin
-,f,1,Annie Machon
-American-Swedish professional golfer,f,1,Annika Sorenstam
-Lithuanian Politician,m,1,Antanas Valionis
-Football wide receiver,m,1,Anthony Carter
-,m,1,Anthony Corso
-American swimmer,m,1,Anthony Ervin
-Immunologist,m,2,Anthony Fauci
-Brazilian Politician,m,1,Anthony Garotinho
-,m,1,Anthony Hazen
-Actor,m,2,Anthony Hopkins
-Australian actor,m,2,Anthony LaPaglia
-,m,1,Anthony Lee Johnson
-Actor,m,1,Anthony Mazur
-Aaron Pico's father,m,1,Anthony Pico
-,m,1,Anthony Pisciotti
-,m,1,Anthony Principi
-,m,1,Anthony Rackauckas
-,m,1,Anthony Scott Miller
-German swimmer,f,1,Antje Buschschulte
-Journalist,m,1,Anton Balasingham
-Actor,m,5,Antonio Banderas
-American-Italian academic,m,1,Antonio Bernardo
-Italian soccer player,m,1,Antonio Cassano
-Italian actor,m,1,Antonio Catania
-Salvadoran Politician,m,1,Antonio Elias Saca
-Physician,m,8,Antonio Palocci
-Officer,m,3,Antonio Trillanes
-Businessman,m,4,Antony Leung
-American boxer,m,1,Antwun Echols
-Party leader of the People's Justice Party,m,2,Anwar Ibrahim
-,m,1,Anzori Kikalishvili
-Film actress,f,1,Aparna Pillai
-,m,1,Aram Adler
-Spanish tennis player,f,2,Arantxa Sanchez-Vicario
-American singer-songwriter,f,1,Aretha Franklin
-French businessperson,m,1,Ari Bousbib
-Former White House Press Secretary,m,13,Ari Fleischer
-American-Greek author,f,4,Arianna Huffington
-Soccer player,m,1,Arie Haan
-Former Prime Minister of Israel,m,77,Ariel Sharon
-American-Turkish musical artist,m,1,Arif Mardin
-Former United States Senator,m,3,Arlen Specter
-,m,1,Armand Sargen
-,m,1,Armando Avila Panchame
-Lawyer,m,1,Armando Calderon Sol
-Colombian soccer player,m,1,Armando Carrillo
-Economist,m,6,Arminio Fraga
-Tennis player,m,2,Arnaud Clement
-Managing Partner of the Lagardère Group,m,1,Arnaud Lagardere
-,m,1,Arnie Boehm
-American professional golfer,m,3,Arnold Palmer
-Former Governor of California,m,42,Arnold Schwarzenegger
-British journalist,m,1,Arnold Scott
-International lawyer,m,5,Arnoldo Aleman
-American mechanical engineer,m,2,Aron Ralston
-Actress,f,2,Arsinee Khanjian
-"College in New York City, New York",m,1,Art Cooper
-,m,2,Art Hoffmann
-Coach,m,4,Art Howe
-Professional baseball player,m,1,Art Lopez
-American rapper,m,1,Arthur Johnson
-American musical artist,m,1,Arthur Martinez
-,m,1,Artieas Shanks
-Canadian-Italian professional boxer,m,3,Arturo Gatti
-Israeli diplomat,m,2,Arye Mekel
-Governor of Arkansas,m,2,Asa Hutchinson
-,m,1,Ascencion Barajas
-Empire,f,5,Ashanti
-,f,1,Ashlea Talbot
-American actress,f,1,Ashley Judd
-American fashion designer,f,1,Ashley Olsen
-American gymnast,f,1,Ashley Postell
-,m,1,Ashraf Alasmar
-President of Afghanistan,m,1,Ashraf Ghani
-American actor,m,3,Ashton Kutcher
-Former President of Pakistan,m,1,Asif Ali Zardari
-,m,1,Asif Hanif
-Kyrgyz Politician,m,1,Askar Akayev
-President of Syria,f,1,Asmaa Assad
-,m,1,Assad Ahmadi
-Senegalese basketball player,f,1,Astou Ndiaye-Diatta
-Íngrid Betancourt's sister,f,1,Astrid Betancourt
-,f,1,Astrid Eyzaguirre
-Former Prime Minister of India,m,24,Atal Bihari Vajpayee
-Iranian historian,m,1,Ataollah Mohajerani
-,f,1,Atiabet Ijan Amabel
-Stage director,m,1,Atom Egoyan
-Japanese singer-songwriter,m,1,Atsushi Sato
-Canadian swimmer,f,1,Audrey Lacroix
-French basketeer,f,1,Audrey Sauret
-,m,4,Augustin Calleri
-Former President of Chile,m,2,Augusto Pinochet
-Paraguayan novelist,m,2,Augusto Roa Bastos
-State Counsellor of Myanmar,f,2,Aung San Suu Kyi
-Baseball outfielder,m,1,Austin Kearns
-Singer-songwriter,f,1,Avril Lavigne
-Author,m,1,Azmi Bishara
-Dutch-Turkish actress,f,4,Azra Akin
-American singer,m,1,BB King
-Former President of Indonesia,m,1,BJ Habibie
-American professional baseball player,m,1,Babe Ruth
-,m,1,Baburam Bhattari
-,m,1,Bak Chang-Ryun
-American actress,f,1,Barbara Bach
-American-German designer,f,1,Barbara Becker
-American diplomat,f,1,Barbara Bodine
-Former United States Senator,f,1,Barbara Boxer
-Slovenian lawyer,f,2,Barbara Brezigar
-,f,1,Barbara De Brun
-,f,1,Barbara Esbin
-,f,1,Barbara Felt-Miller
-Former Governor of Oregon,f,1,Barbara Roberts
-American broadcaster,f,4,Barbara Walters
-Czech tennis player,f,1,Barbora Strycova
-American singer-songwriter,f,3,Barbra Streisand
-Ice hockey defenceman,m,2,Barrett Jackman
-Football coach,m,2,Barry Alvarez
-American professional baseball player,m,1,Barry Bonds
-American basketball coach,m,1,Barry Collier
-Chairman of IAC,m,1,Barry Diller
-Film actor,m,1,Barry Ford
-American basketball coach,m,1,Barry Hinson
-,m,1,Barry Nakell
-Former football player,m,1,Barry Switzer
-American actor,m,1,Barry Williams
-American musician,m,2,Barry Zito
-American film director,m,1,Bart Freundlich
-Football player,m,1,Bart Hendricks
-Olympic athlete,m,1,Bartosz Kizierowski
-Saddam Hussein's brother,m,1,Barzan al-Tikriti
-Former Member of the Trinidad and Tobago Parliament,m,1,Basdeo Panday
-President of Syria,m,4,Bashar Assad
-Australian writer,m,1,Baz Luhrmann
-French actress,f,1,Beatrice Dalle
-Defender,f,1,Beatriz Merino
-American musician,m,1,Beecher Ray Kirby
-Former Prime Minister of Bangladesh,f,2,Begum Khaleda Zia
-American-Romanian coach,m,1,Bela Karolyi
-American actor,m,7,Ben Affleck
-,m,1,Ben Betts
-American basketball coach,m,1,Ben Braun
-American musician,m,1,Ben Broussard
-Canadian football player,m,1,Ben Cahoon
-Former United States Representative,m,1,Ben Chandler
-Rugby player,m,1,Ben Cohen
-American professional golfer,m,3,Ben Curtis
-"High school in Indianapolis, Indiana",m,1,Ben Davis
-,m,2,Ben Glisan
-American basketball coach,m,4,Ben Howland
-Actor,m,1,Ben Kingsley
-Australian musician,m,1,Ben Lee
-American writer,m,1,Ben Stein
-American basketball player,m,1,Ben Wallace
-Former Prime Minister of Pakistan,f,5,Benazir Bhutto
-Brazilian Politician,f,1,Benedita da Silva
-Actor,m,1,Benicio Del Toro
-Professional baseball player,m,1,Benito Santiago
-Actor,m,1,Benjamin Bratt
-Founding Father of the United States,m,1,Benjamin Franklin
-Spanish soccer player,m,1,Benjamin Martinez
-American actor,m,1,Benjamin McKenzie
-Prime Minister of Israel,m,5,Benjamin Netanyahu
-Fred Neulander's son,m,1,Benjamin Neulander
-American actress,f,1,Bernadette Peters
-Businessman,m,1,Bernard Ebbers
-French actor,m,1,Bernard Giraudeau
-American police officer,m,1,Bernard Kerik
-Lawyer,m,4,Bernard Landry
-Viscount Montgomery of Alamein,m,5,Bernard Law
-Canadian lawyer,m,2,Bernard Lord
-Attorney at law,m,1,Bernard Siegel
-Mexican olympic athlete,m,2,Bernardo Segura
-,f,1,Bernice Wong
-Former Taoiseach,m,5,Bertie Ahern
-Film director,m,2,Bertrand Bonello
-French Politician,m,1,Bertrand Delanoe
-,f,1,Beth Blough
-Actress,f,2,Beth Jones
-,f,1,Betsy Coffin
-Herbert Smith's mother,f,2,Betsy Smith
-French photographer,f,1,Bettina Rheims
-,f,1,Betty Garrison
-,f,1,Betty Williams
-American singer-songwriter,f,1,Beyonce Knowles
-Actress,f,1,Bianca Jagger
-,m,3,Bijan Darvish
-Iranian Politician,m,2,Bijan Namdar Zangeneh
-Turkish businessman,m,1,Bilal Erdogan
-Politician,f,3,Biljana Plavsic
-General Manager of the New England Patriots,m,2,Bill Belichick
-Former American senator,m,1,Bill Bradley
-American cinematographer,m,1,Bill Butler
-,m,1,Bill Byrne
-American singer-songwriter,m,3,Bill Callahan
-American basketball coach,m,1,Bill Carmody
-American basketball player,m,1,Bill Cartwright
-Baseball player,m,1,Bill Clancy
-42nd U.S. President,m,29,Bill Clinton
-Football coach,m,1,Bill Curry
-Football coach,m,1,Bill Doba
-,m,1,Bill Duffey
-American race car driver,m,1,Bill Elliott
-American basketball coach,m,1,Bill Fennelly
-Former United States Senator,m,9,Bill Frist
-American business magnate,m,17,Bill Gates
-American impresario,m,9,Bill Graham
-American ice hockey player,m,1,Bill Guerin
-American basketball coach,m,1,Bill Herrion
-American trombonist,m,1,Bill Hughes
-American sports announcer,m,1,Bill King
-American coach,m,1,Bill Kollar
-Film producer,m,1,Bill Kong
-Lawyer,m,1,Bill Lerach
-American comedian,m,1,Bill Maher
-American editorial cartoonist,m,1,Bill Mauldin
-American lawyer,m,10,Bill McBride
-United States Senator,m,2,Bill Nelson
-American journalist,m,1,Bill OReilly
-Football coach,m,2,Bill Parcells
-American professional baseball player,m,1,Bill Parsons
-American actor,m,4,Bill Paxton
-Judge,m,1,Bill Pryor
-,m,1,Bill Rainer
-,m,1,Bill Readdy
-Former Governor of New Mexico,m,1,Bill Richardson
-Basketball coach,m,1,Bill Self
-American businessman,m,15,Bill Simon
-Writer,m,2,Bill Sizemore
-American swimmer,m,1,Bill Stapleton
-American professional baseball player,m,1,Bill Stein
-American basketball player,m,1,Bill Walton
-American professional golfer,m,1,Billy Andrade
-Executive Vice President of the Oakland Athletics,m,1,Billy Beane
-American actor,m,1,Billy Bob Thornton
-Actor,m,1,Billy Boyd
-American-Filipino singer,m,1,Billy Crawford
-American actor,m,6,Billy Crystal
-American basketball coach,m,1,Billy Donovan
-American basketball player,m,1,Billy Edelin
-American singer,m,1,Billy Gilman
-American evangelist,m,2,Billy Graham
-American singer-songwriter,m,1,Billy Joel
-,m,1,Billy Rork
-,m,2,Billy Sollie
-,m,1,Billy Tibbets
-American singer,m,1,Bing Crosby
-Israeli Politician,m,7,Binyamin Ben-Eliezer
-American basketball player,m,1,Bison Dele
-French soccer player,m,1,Bixente LIzarazu
-Filipino journalist,m,1,Blas Ople
-American actress,f,2,Blythe Danner
-Olympic athlete,f,2,Blythe Hartley
-Football head coach,m,2,Bo Pelini
-American basketball coach,m,2,Bo Ryan
-Author,m,1,Bob Alper
-Former United States Representative,m,2,Bob Beauprez
-Commissioner of Big 12 Conference football,m,1,Bob Bowlsby
-,m,1,Bob Cantrell
-,m,2,Bob Colvin
-American naval officer,m,1,Bob Crippen
-American dancer,m,1,Bob Curtis
-American Politician,m,3,Bob Dole
-,m,1,Bob Eskridge
-Washington Attorney General,m,1,Bob Ferguson
-Irish singer-songwriter,m,2,Bob Geldof
-Author,m,1,Bob Goldman
-Former Governor of Florida,m,6,Bob Graham
-American photographer,m,1,Bob Guccione
-Canadian ice hockey coach,m,1,Bob Hartley
-Olympic athlete,m,1,Bob Hayes
-,m,1,Bob Herz
-Former Governor of Missouri,m,1,Bob Holden
-Comedian,m,8,Bob Hope
-American basketball coach,m,4,Bob Huggins
-Chief Executive Officer of Disney,m,1,Bob Iger
-Former U.S. Representative,m,1,Bob Krueger
-American baseball manager,m,1,Bob Melvin
-United States Senator,m,1,Bob Menendez
-American stand-up comedian,m,1,Bob Newhart
-Football coach,m,1,Bob Petrino
-Former Governor of Alabama,m,1,Bob Riley
-Football coach,m,7,Bob Stoops
-,m,1,Bob Sulkin
-American Politician,m,1,Bob Taft
-American lawyer,m,1,Bob Wright
-Football coach,m,1,Bobby Bowden
-,m,2,Bobby Goldwater
-American basketball player,m,1,Bobby Jackson
-Professional baseball player,m,1,Bobby Kielty
-Soccer player,m,2,Bobby Robson
-French-Guinean soccer player,m,1,Bobo Balde
-American alpine ski racer,m,2,Bode Miller
-Editor,f,1,Bonnie Fuller
-American comedienne,f,1,Bonnie Hunt
-Irish singer-songwriter,m,3,Bono
-Tennis player,m,6,Boris Becker
-Government official,m,2,Boris Berezovsky
-German athlete,m,1,Boris Henry
-American-Russian businessman,m,1,Boris Jordan
-"Sports arena in Skopje, Macedonia (FYROM)",m,1,Boris Trajkovski
-Former Russian President,m,2,Boris Yeltsin
-Egyptian Politician,m,1,Boutros Boutros Ghali
-Football wide receiver,m,1,Brad Alexander Smith
-Indoor football quarterback,m,1,Brad Banks
-American basketball coach,m,1,Brad Brownell
-American stand-up comedian,m,4,Brad Garrett
-Canadian curler,m,1,Brad Gushue
-Football quarterback,m,5,Brad Johnson
-Baseball infielder,m,1,Brad Miller
-American actor,m,1,Brad Pitt
-,m,1,Brad Russ
-Soccer player,m,1,Brad Smith
-American musician,m,1,Brad Wilk
-Baseball pitcher,m,1,Brady Rodgers
-Indian diplomat,m,1,Brajesh Mishra
-American singer,m,1,Brandon Boyd
-,m,1,Brandon Fails
-Former child actor,m,1,Brandon Hammond
-Baseball third baseman,m,1,Brandon Inge
-American actor,m,1,Brandon Jones
-American basketball player,m,1,Brandon Knight
-Baseball player,m,1,Brandon Larson
-Football wide receiver,m,1,Brandon Lloyd
-American sportswriter,m,1,Brandon Robinson
-,m,1,Brandon Spann
-American professional baseball player,m,1,Brandon Webb
-Former Prime Minister of the Republic of Macedonia,m,3,Branko Crvenkovski
-Actor,m,1,Brawley King
-,f,1,Brenda Magana
-,f,1,Brenda Wilson
-,f,1,Brenda van Dam
-American-Canadian actor,m,1,Brendan Fraser
-American race car driver,m,1,Brendan Gaughan
-American swimmer,m,2,Brendan Hansen
-Former football player,m,1,Brendan Stai
-,m,1,Brennon Leighton
-,m,1,Brent Coles
-Baseball player,m,1,Brett Boone
-Swimmer,m,1,Brett Hawke
-American-Canadian ice hockey player,m,1,Brett Hull
-,m,1,Brett Perry
-Coach,m,1,Brian Billick
-Ice hockey defenceman,m,1,Brian Campbell
-General Manager of the New York Yankees,m,1,Brian Cashman
-Screenwriter,m,1,Brian Clemens
-American basketball player,m,1,Brian Cook
-Former Taoiseach,m,2,Brian Cowen
-American film director,m,1,Brian De Palma
-,m,1,Brian Florence
-,m,1,Brian Grazier
-American basketball coach,m,1,Brian Gregory
-Football quarterback,m,2,Brian Griese
-American actor,m,2,Brian Heidik
-American puppeteer,m,1,Brian Henson
-Baseball player,m,1,Brian Jordan
-Irish coach,m,1,Brian Kerr
-Trinidadian cricketer,m,1,Brian Lara
-Politician,m,1,Brian McIntyre
-,m,1,Brian Meadors
-Former Prime Minister of Canada,m,2,Brian Mulroney
-Olympic athlete,m,1,Brian Olson
-,m,1,Brian Pavlich
-American basketball player,m,1,Brian Scalabrine
-Baseball catcher,m,1,Brian Schneider
-,m,1,Brian StPierre
-,m,1,Brian Van Dusen
-Rock band,m,1,Brian Weaver
-,m,2,Brian Wells
-American journalist,m,1,Brian Williams
-American actress,f,3,Bridget Fonda
-American actress,f,3,Bridgette Wilson-Sampras
-French chemist,f,2,Brigitte Boisselier
-American singer-songwriter,f,14,Britney Spears
-American actress,f,1,Brittany Snow
-Football player,m,1,Brock Berlin
-Professional baseball pitcher,m,1,Bronson Arroyo
-,m,1,Brook Robinson
-American actress,f,1,Brooke Adams
-,f,1,Brooke Gordon
-American actress,f,2,Brooke Shields
-American coach,m,1,Bruce Arena
-,m,1,Bruce Gebhardt
-American attorney,m,1,Bruce Lunsford
-American television director,m,1,Bruce Paltrow
-American singer-songwriter,m,4,Bruce Springsteen
-,m,2,Bruce Van De Velde
-American photographer,m,2,Bruce Weber
-American actor,m,1,Bruce Willis
-Brazilian tennis player,f,1,Bruna Colosio
-,m,1,Bruno Junquiera
-Canadian singer-songwriter,m,1,Bryan Adams
-,m,1,Bryan Chui
-Mathematician,m,1,Bryan Cooley
-Canadian ice hockey coach,m,1,Bryan Murray
-Football player,m,1,Bryan Thomas
-American coach,m,1,Bryant Young
-,m,1,Bryce Carmine
-Baseball manager,m,1,Buck Rodgers
-American commissioner of baseball,m,4,Bud Selig
-American screenwriter,m,1,Budd Schulberg
-Football coach,m,1,Buddy Ryan
-,m,1,Buford Blount
-Turkish Politician,m,6,Bulent Ecevit
-,m,1,Bustam A Zedan Aljanabi
-Football coach,m,2,Butch Davis
-,m,1,Buzz Hargrove
-American basketball coach,m,2,Byron Scott
-,m,1,Cabas
-Brazilian actor,m,1,Caio Blat
-American basketball player,m,1,Calbert Cheaney
-American actress,f,6,Calista Flockhart
-American athlete,m,1,Calvin Harrison
-,m,1,Calvin Joseph Coleman
-American actress,f,6,Cameron Diaz
-,f,2,Camilla Parker Bowles
-,f,1,Camille Colvin
-Fictional character,f,1,Camille Lewis
-American actress,f,1,Camryn Manheim
-Maurice Sutton's sister,f,1,Candace Sutton
-,f,1,Candice Beatty
-Actress,f,3,Candice Bergen
-Professional golfer,f,4,Candie Kung
-American actress,f,1,Carey Lowell
-,f,1,Cari Davis
-Swedish professional golfer,f,1,Carin Koch
-Actress,f,1,Carina Lau Ka-ling
-Former United States Senator,m,1,Carl Levin
-,m,1,Carl Pope
-American comedian,m,2,Carl Reiner
-Prosecutor,f,5,Carla Del Ponte
-,f,1,Carla Gay Balingit
-American actress,f,1,Carla Gugino
-Athlete,f,1,Carla Moreno
-,f,2,Carla Myers
-,f,1,Carla Sullivan
-Actress,f,1,Carla Tricoli
-Italian soccer player,m,3,Carlo Ancelotti
-Former Prime Minister of Italy,m,1,Carlo Azeglio Ciampi
-Brazilian soccer player,m,1,Carlos Alberto
-Brazilian football manager,m,1,Carlos Alberto Parreira
-Puerto Rican basketball player,m,1,Carlos Arroyo
-Mexican football manager,m,1,Carlos Barra
-Argentina screenwriter,m,1,Carlos Barragan
-Baseball outfielder,m,1,Carlos Beltran
-Argentine soccer player,m,2,Carlos Bianchi
-Actor,m,1,Carlos De Abreu
-,m,1,Carlos Fasciolo
-CEO of Renault,m,2,Carlos Ghosn
-,m,1,Carlos Iturgaitz
-Argentine Politician,m,1,Carlos Juarez
-,m,1,Carlos Lordkipanitse
-Cuban singer,m,3,Carlos Manuel Pruneda
-Former President of Argentina,m,21,Carlos Menem
-Bolivian historian,m,2,Carlos Mesa
-Tennis player,m,19,Carlos Moya
-Political leader,m,3,Carlos Ortega
-,m,1,Carlos Paternina
-Football manager,m,1,Carlos Queiroz
-Politician,m,2,Carlos Quintanilla Schmidt
-Former Vice President of Argentina,m,1,Carlos Ruckauf
-Guatemalan soccer player,m,3,Carlos Ruiz
-Former President of Mexico,m,1,Carlos Salinas
-,m,1,Carlos Savedra
-Colombian singer-songwriter,m,4,Carlos Vives
-Jamaican cricketer,m,1,Carlton Baugh
-American basketball player,m,1,Carlton Dotson
-American businesswoman,f,3,Carly Fiorina
-American tennis player,f,1,Carly Gullickson
-American glamour model,f,6,Carmen Electra
-American television show,f,2,Carol Burnett
-,f,1,Carol Carmody
-Former United States Senator,f,2,Carol Moseley Braun
-,m,1,Carol Niedermayer
-Concert organist,f,1,Carol Williams
-American-Colombian diplomat,f,1,Carolina Barco
-Swedish athlete,f,3,Carolina Kluft
-Swimmer,f,2,Carolina Moraes
-Canadian actress,f,1,Caroline Dhavernas
-American author,f,3,Caroline Kennedy
-Film director,f,1,Caroline Link
-Canadian singer-songwriter,f,3,Carolyn Dawn Johnson
-Judge,f,1,Carolyn Kuhl
-Canadian actress,f,5,Carrie-Anne Moss
-,m,1,Carroll Weimer
-American television host,m,2,Carson Daly
-Football quarterback,m,4,Carson Palmer
-,f,1,Casey Crowder
-American race car driver,m,1,Casey Mears
-American Politician,m,1,Cass Ballenger
-,f,1,Cassandra Heise
-,f,1,Casy Preslar
-Australian actress,f,4,Cate Blanchett
-Actress,f,1,Catherine Bell
-French actress,f,5,Catherine Deneuve
-,f,1,Catherine Donkers
-Kenyan olympic athlete,f,1,Catherine Ndereba
-Actress,f,1,Catherine Woodard
-Actress,f,11,Catherine Zeta-Jones
-,f,1,Cathryn Crawford
-,f,1,Cathy Chisholm
-Canadian curler,f,1,Cathy Cunningham
-Australian sprinter,f,2,Cathy Freeman
-Canadian speed skater,f,1,Catriona Le May Doan
-Belgian actress,f,1,Cecile de France
-Chilean actress,f,3,Cecilia Bolocco
-Actress,f,1,Cecilia Chang
-Actress,f,1,Cecilia Cheung
-Football running back,m,1,Cedric Benson
-Singer,f,1,Celia Cruz
-Canadian singer,f,8,Celine Dion
-Brazilian diplomat,m,2,Celso Amorim
-Brazilian jurist,m,1,Celso Lafer
-Turkish Politician,m,1,Cemil Cicek
-Former President of Colombia,m,8,Cesar Gaviria
-Brazilian Politician,m,2,Cesar Maia
-,m,1,Cha Yung-gu
-Film director,f,1,Chadha Gurinder
-Algerian Political figure,m,2,Chakib Khelil
-Legislator,m,1,Chan Choi
-Football coach,m,3,Chan Gailey
-Baseball pitcher,m,1,Chan Ho Park
-American announcer,m,1,Chance Mock
-American tennis player,f,5,Chanda Rubin
-Sri Lankan Politician,f,1,Chandrika Kumaratunga
-Former Acting Prime Minister of South Korea,m,2,Chang Dae-whan
-Boy band,m,1,Chang Jae On
-,f,1,Chang Saio-yue
-Former Acting Prime Minister of South Korea,f,1,Chang Sang
-Warlord,m,1,Chang Tso
-,f,1,Chante Jawan Mallard
-,f,1,Charla Moye
-Former United States Trade Representative,f,1,Charlene Barshefsky
-Surgeon,m,1,Charles Bell
-Actor,m,3,Charles Bronson
-,m,1,Charles Chandler IV
-Actor,m,1,Charles Cope
-United States Senator,m,2,Charles Grassley
-,m,1,Charles Holzner
-Television actor,m,1,Charles Ingram
-,m,2,Charles Kartman
-,m,1,Charles Lebois
-Theatre actor,m,2,Charles Mathews
-American author,m,13,Charles Moose
-American astronomer,m,1,Charles Pickering
-,m,1,Charles Pouty
-Engineer,m,1,Charles Richardson
-Football wide receiver,m,1,Charles Rogers
-United States Senator,m,2,Charles Schumer
-,m,1,Charles Tannok
-Former President of Liberia,m,9,Charles Taylor
-,m,1,Charley Armey
-American basketball coach,m,1,Charlie Coles
-,m,1,Charlie Deane
-Football player,m,1,Charlie Garner
-Actor,m,1,Charlie Hunnam
-American actor,m,1,Charlie Sheen
-Soccer player,m,1,Charlie Williams
-Colombian singer,m,2,Charlie Zaa
-American-South African actress,f,1,Charlize Theron
-Industrialist,f,1,Charlotte Casiraghi
-,m,1,Charlotte Chambers
-Singer-songwriter,f,1,Charlotte Church
-Actress,f,2,Charlotte Rampling
-American actor,m,6,Charlton Heston
-Canadian athlete,f,1,Charmaine Crooks
-,m,1,Chawki Armali
-Politician,m,1,Chea Sophara
-Bill Clinton's daughter,f,1,Chelsea Clinton
-Film director,m,1,Chen Kaige
-,m,2,Chen Liang Yu
-Politician,m,5,Chen Shui-bian
-,m,1,Chen Tsai-chin
-Barrister,f,4,Cherie Blair
-American actress,f,1,Cherry Jones
-American basketball player,f,1,Cheryl Ford
-American actress,f,1,Cheryl Hines
-American rapper,f,1,Cheryl James
-,f,1,Cheryl Little
-American model,f,1,Cheryl Tiegs
-,m,1,Chhouk Rin
-American sportscaster,m,3,Chick Hearn
-Baseball outfielder,m,1,Chin-Feng Chen
-Professional baseball pitcher,m,1,Chin-Hui Tsao
-,m,1,Chip Burrus
-,m,1,Chip Ganassi
-,m,1,Chip Knight
-,m,1,Chistian Stahl
-American actress,f,2,Chita Rivera
-American actress,f,1,Chloe Sevigny
-,m,1,Cho Myung-kyun
-,m,5,Choi Sung-hong
-,f,1,Choi Yun-yong
-Former Prime Minister of Singapore,m,2,Chok Tong Goh
-Singer,m,1,Chris Andrews
-American guitarist,m,2,Chris Bell
-American professional boxer,m,2,Chris Byrd
-,m,1,Chris Cirino
-Former football player,m,1,Chris Claiborne
-American filmmaker,m,1,Chris Columbus
-,m,1,Chris Cookson
-American film actor,m,2,Chris Cooper
-American musician,m,1,Chris Cornell
-American internet celebrity,m,1,Chris Crocker
-Former United States Senator,m,1,Chris Dodd
-Musical artist,m,1,Chris Forsyth
-Canadian ice hockey player,m,1,Chris Gratton
-Baseball player,m,1,Chris Hernandez
-American actor,m,1,Chris Klein
-,m,1,Chris Kolanas
-American commentator,m,1,Chris Matthews
-American film producer,m,1,Chris Moore
-Ice hockey winger,m,1,Chris Neil
-American actor,m,1,Chris Noth
-American film actor,m,1,Chris Penn
-Ice hockey defenceman,m,1,Chris Pronger
-Baseball player,m,1,Chris Reitsma
-American comedian,m,2,Chris Rock
-Ice hockey player,m,1,Chris Simon
-,m,1,Chris Swecker
-Canadian ice hockey player,m,1,Chris Terry
-Record producer,m,1,Chris Thomas
-American actor,m,2,Chris Tucker
-American basketball player,m,1,Chris Whitney
-Actor,m,1,Christian Bale
-Racing driver,m,2,Christian Fittipaldi
-Soccer player,m,1,Christian Gimenez
-French fashion designer,m,1,Christian Lacroix
-,m,1,Christian Lirette
-,m,3,Christian Longo
-Athlete,m,1,Christian Malcolm
-Swedish athlete,m,1,Christian Olsson
-Mexican soccer player,m,1,Christian Patino
-Argentine priest,m,1,Christian Von Wernich
-Former President of Germany,m,2,Christian Wulff
-Christian Wulff's ex-wife,f,1,Christiane Wulff
-American singer-songwriter,f,4,Christina Aguilera
-,f,1,Christina Sawaya
-Sprinter,f,1,Christine Arron
-Model,f,5,Christine Baumgartner
-American actress,f,2,Christine Ebersole
-Former Governor of Washington,f,4,Christine Gregoire
-,f,1,Christine Rau
-Former Governor of New Jersey,f,6,Christine Todd Whitman
-Football coach,m,1,Christoph Daum
-,m,1,Christopher Amolsch
-,m,1,Christopher Conyers
-,m,1,Christopher Matero
-Chancellor of the University of Oxford,m,2,Christopher Patten
-American actor,m,4,Christopher Reeve
-Actor,m,1,Christopher Russell
-,m,1,Christopher Speer
-American actor,m,4,Christopher Walken
-Media proprietor,m,1,Christopher Whittle
-Public servant,f,1,Christy Ferer
-American model,f,1,Christy Turlington
-Chinese film star,m,1,Chuanyun Li
-Football coach,m,2,Chuck Amato
-Football player,m,1,Chuck Bednarik
-American basketball player,m,1,Chuck Eidson
-Baseball player,m,1,Chuck Finley
-Former United States Senator,m,1,Chuck Hagel
-American game show host,m,1,Chuck Woolery
-Officer,m,2,Chuck Yeager
-Chung Ju-yung's son,m,2,Chung Mong-hun
-South Korean businessman,m,2,Chung Mong-joon
-Lee Tai-young's son,m,1,Chyung Dai-chul
-Actor,m,1,Ciaran Hinds
-American model,f,3,Cindy Crawford
-Canadian speed skater,f,1,Cindy Klassen
-American spokesmodel,f,2,Cindy Margolis
-,f,1,Cindy Moll
-Actress,f,1,Cindy Taylor
-,f,1,Cindy Zagorski
-Brazilian Politician,m,5,Ciro Gomes
-American actress,f,3,Claire Danes
-,f,1,Claire De Gryse
-,f,2,Claire Hentzen
-,f,2,Claire Leger
-Author,f,1,Claire Tomalin
-American socialite,f,5,Clara Harris
-,f,1,Clare Latimer
-Former Secretary of State for International Development of the UK,f,4,Clare Short
-American lawyer,m,1,Clark Randt
-French jurist,m,1,Claude Jorda
-American singer,f,1,Claudette Robinson
-Italian film actress,f,1,Claudia Cardinale
-Italian athlete,m,1,Claudia Coslovich
-Speed skater,f,5,Claudia Pechstein
-German supermodel,f,3,Claudia Schiffer
-Actress,f,1,Claudine Farrell
-Italian conductor,m,1,Claudio Abbado
-Soccer player,m,1,Claudio Lopez
-Italian football manager,m,1,Claudio Ranieri
-American singer,m,6,Clay Aiken
-Makeup artist,m,1,Clay Campbell
-,m,1,Clemente de la Vega
-American basketball coach,m,1,Cliff Ellis
-American professional boxer,m,1,Clifford Etienne
-American basketball player,m,1,Clifford Robinson
-American actor,m,6,Clint Eastwood
-American actor,m,1,Clint Howard
-,m,1,Clint Lamebear
-Cricketer,m,1,Clive Lloyd
-Coach,m,1,Clive Woodward
-,f,1,Coco dEste
-,f,1,Cole Chapman
-American special agent,f,1,Coleen Rowley
-Writer,m,1,Colin Campbell
-Television personality,m,1,Colin Cowie
-Irish actor,m,9,Colin Farrell
-Athlete,m,2,Colin Jackson
-Professional golfer,m,5,Colin Montgomerie
-American voice actor,m,1,Colin Phillips
-Former United States National Security Advisor,m,236,Colin Powell
-,m,1,Colin Prescot
-American costume designer,f,1,Colleen Atwood
-Film actor,f,1,Colleen Donovan
-Canadian television personality,f,1,Colleen Jones
-,f,1,Colleen OClair
-Actress,f,1,Colleen Ryan
-,m,1,Collis Temple III
-American-Mexican philanthropist,f,1,Columba Bush
-Cuban guitarist,m,1,Compay Segundo
-American television host,m,4,Conan OBrien
-Tennis player,f,3,Conchita Martinez
-Former United States Secretary of State,f,11,Condoleezza Rice
-American journalist,f,1,Connie Chung
-Juan Pablo Montoya's wife,f,1,Connie Freydell
-British publisher,m,1,Conrad Black
-American actress,f,3,Constance Marie
-,f,1,Cora Cambell
-American author,f,3,Coretta Scott King
-American basketball player,m,1,Corey Maggette
-Basketball player,f,1,Cori Enghusen
-Actress,f,1,Corinna Harfouch
-,f,2,Corinne Coman
-American basketball coach,m,1,Corliss Williamson
-Former football player,m,1,Cosmo Iacavazzi
-Greek Politician,m,6,Costas Simitis
-American actress,f,1,Courtney Cox
-American singer-songwriter,f,2,Courtney Love
-Pundit,m,1,Craig Burley
-Singer-songwriter,m,1,Craig David
-,m,1,Craig Doblin
-Rugby player,m,1,Craig Fitzgibbon
-Canadian ice hockey player,m,1,Craig MacTavish
-American musical artist,m,1,Craig Morgan
-,m,1,Craig OClair
-Professional baseball player,m,1,Craig Wilson
-American businessperson,f,1,Crandall Bowles
-American actor,m,1,Crispin Glover
-Chilean diplomat,m,1,Cristian Barros
-Brazilian racing driver,m,1,Cristiano da Matta
-Former President of Argentina,f,2,Cristina Fernandez
-Former President of Argentina,f,1,Cristina Kirchner
-American-Cuban journalist,f,2,Cristina Saralegui
-Tennis player,f,1,Cristina Torrens Valero
-Former Lieutenant Governor of California,m,5,Cruz Bustamante
-American actor,m,1,Cuba Gooding Jr
-American Politician,m,1,Curt Weldon
-Canadian ice hockey player,m,1,Curtis Joseph
-,m,1,Curtis Rodriguez
-American professional golfer,m,1,Curtis Strange
-American musical artist,f,2,Cyndi Thompson
-American actress,f,1,Cynthia Nixon
-American fashion designer,f,1,Cynthia Rowley
-Baseball player,m,1,DAngelo Jimenez
-,f,1,Dagmar Dunlevy
-,m,2,Dai Bachtiar
-Lee Tai-young's son,m,1,Dai Chul Chyung
-Television host,f,4,Daisy Fuentes
-Tennis player,f,1,Daja Bedanova
-Dalai Lama,m,2,Dalai Lama
-,m,1,Dale Bosworth
-Racing driver,m,1,Dale Earnhardt
-American race car driver,m,4,Dale Earnhardt Jr
-,f,1,Dalia Rabin-Pelosoff
-Former football player,m,1,Damarius Bilbo
-American entrepreneur,m,1,Damon Dash
-American basketball player,m,1,Damon Stoudamire
-,m,2,Damon van Dam
-,m,1,Dan Ackroyd
-Assistant to the President for Communications,m,1,Dan Bartlett
-Ice hockey defenceman,m,1,Dan Boyle
-American ice hockey coach,m,1,Dan Bylsma
-Basketball player,m,1,Dan Dickau
-,m,1,Dan Duquette
-,m,1,Dan Guerrero
-Olympic athlete,m,1,Dan Kellner
-,m,1,Dan LaCoutre
-American basketball coach,m,1,Dan Monson
-American Politician,m,3,Dan Morales
-,m,1,Dan Prinster
-Former Vice President of the United States,m,1,Dan Quayle
-Football coach,m,1,Dan Reeves
-Ice hockey player,m,1,Dan Snyder
-British racing driver,m,2,Dan Wheldon
-American swimmer,f,1,Dana Vollmer
-Pianist,m,1,Daniel Barenboim
-German-Spanish actor,m,1,Daniel Bruehl
-British writer,m,1,Daniel Chin
-Director of National Intelligence,m,1,Daniel Coats
-,m,1,Daniel Comisso Urdaneta
-Author,m,1,Daniel Darnell
-Actor,m,3,Daniel Day-Lewis
-American diplomat,m,1,Daniel Kurtzer
-Argentine soccer player,m,1,Daniel Montenegro
-American rapper,m,1,Daniel Montgomery
-President of Nicaragua,m,1,Daniel Ortega
-Mexican soccer player,m,1,Daniel Osorno
-Former member of the United States Senate,m,1,Daniel Patrick Moynihan
-Journalist,m,1,Daniel Pearl
-Actor,m,4,Daniel Radcliffe
-Painter,m,1,Daniel Rouse
-Former Vice President of Argentina,m,1,Daniel Scioli
-American actor,m,1,Daniel Zelman
-Brazilian-Italian model,f,1,Daniela Cicarelli
-Slovakian tennis player,f,2,Daniela Hantuchova
-,m,1,Daniele Bergamin
-Brazilian gymnast,f,1,Daniele Hypolito
-Italian cyclist,m,1,Daniele Nardello
-,m,1,Daniell Sunjata
-Australian actress,f,1,Danielle Spencer
-Film director,m,1,Danis Tanovic
-General Manager of the Boston Celtics,m,1,Danny Ainge
-,m,1,Danny Avalon
-American composer,m,1,Danny Elfman
-American actor,m,1,Danny Glover
-American basketball player,m,1,Danny Green
-Film actor,m,1,Danny Morgan
-Ice hockey left wing,m,1,Dany Heatley
-Canadian ice hockey player,m,1,Darcy Regier
-American professional baseball player,m,1,Darin Erstad
-Author,m,1,Dario Camuffo
-British racing driver,m,1,Dario Franchitti
-German-Polish professional boxer,m,1,Dariusz Michalczewski
-Basketball player,m,1,Darko Milicic
-,f,1,Darla Moore
-,f,1,Darlene Garrettson
-Football coach,m,1,Darrell Dickey
-U.S. Representative,m,2,Darrell Issa
-American professional baseball player,m,2,Darrell Porter
-Football player,m,1,Darrell Royal
-,m,1,Darren Campel
-Professional golfer,m,2,Darren Clarke
-American musician,m,1,Darryl McDaniels
-Football player,m,1,Darryl Stingley
-American track and field athlete,m,1,Darvis Patton
-American actress,f,2,Daryl Hannah
-American hip-hop artist,m,1,Daryl Jones
-Attorney,m,1,Daryl Parks
-American actor,m,1,Daryl Sabara
-Football linebacker,m,1,Daryl Smith
-Canadian golfer,m,1,Dave Barr
-Football coach,m,3,Dave Campo
-Olympic athlete,m,1,Dave Johnson
-Canadian coach,m,1,Dave Lewis
-Rock band,m,1,Dave Matthews
-Football coach,m,1,Dave McGinnis
-Baseball player,m,1,Dave McNally
-,m,1,Dave McNealey
-American basketball coach,m,1,Dave Odom
-Politician,m,1,Dave Potter
-American coach,m,1,Dave Ragone
-Football manager,m,1,Dave Robertson
-British screenwriter,m,1,Dave Tucker
-Football coach,m,1,Dave Wannstedt
-American vocalist,m,1,Dave Williams
-American professional baseball player,m,1,Davey Johnson
-Canadian actor,m,1,David Alpay
-Member of the House of Commons of Canada,m,5,David Anderson
-American actor,m,1,David Arquette
-New Zealand journalist,m,1,David Ballantyne
-English soccer player,m,31,David Beckham
-American author,m,2,David Bell
-Spanish singer,m,1,David Bisbal
-American magician,m,1,David Blaine
-English singer-songwriter,m,1,David Bowie
-,m,1,David Braley
-Fictional character,m,1,David Brent
-American newscaster,m,1,David Brinkley
-Company,m,1,David Brown
-American actor,m,1,David Canary
-,m,2,David Caraway
-American actor,m,1,David Carradine
-American actor,m,3,David Caruso
-American screenwriter,m,1,David Chase
-Minister of Transport,m,1,David Collenette
-British racing driver,m,2,David Coulthard
-,m,1,David Dewayne Williams
-Former Lieutenant Governor of Texas,m,1,David Dewhurst
-American author,m,2,David Dodge
-American race car driver,m,1,David Donohue
-American actor,m,1,David Dorfman
-Former LA State Representative,m,1,David Duke
-American professional golfer,m,1,David Duval
-Banking executive,m,1,David Eldon
-American producer,m,1,David Gest
-American gospel singer,m,1,David Glenn
-British diplomat,m,1,David Hannay
-American roboticist,m,1,David Hanson
-American actor,m,1,David Hasselhoff
-Film producer,m,2,David Heyman
-American writer,m,5,David Heymann
-Author,m,1,David Hilt
-American-Taiwanese medical doctor,m,1,David Ho
-American basketball player,m,1,David Howard
-American actor,m,4,David Hyde Pierce
-American rapper,m,2,David Kelley
-Scientist,m,1,David Kelly
-Politician,m,2,David Leahy
-Actor,m,1,David McCallum
-American author,m,1,David McCullough
-General,m,1,David McKiernan
-Professional road racing cyclist,m,1,David Millar
-Business executive,m,1,David Modell
-Colombian soccer player,m,1,David Montoya
-Australian rules footballer,m,2,David Myers
-Argentine tennis player,m,14,David Nalbandian
-Former United States Representative,m,1,David Obey
-Singer,m,1,David Oh
-Former Mayor of New York City,m,1,David Provost
-,m,1,David Przybyszewski
-American attorney,m,1,David Rivkin Jr
-,m,1,David Scott Morris
-,m,1,David Shayler
-,m,1,David Sibleyk
-President of Westgate Resorts,m,1,David Siegel
-Spanish soccer player,m,1,David Sousa
-American actor,m,2,David Spade
-Counsel,m,4,David Stern
-Soccer player,m,1,David Suazo
-,m,1,David Surrett
-,m,1,David Tornberg
-Member of Parliament of the United Kingdom,m,5,David Trimble
-Historian,m,1,David Welch
-Baseball pitcher,m,7,David Wells
-Engineer,m,1,David Westerfield
-American astronaut,m,2,David Wolf
-,m,1,David Zeplowitz
-American professional golfer,m,1,Davis Love III
-American basketball player,f,1,Dawn Staley
-,f,1,Dawna LoPiccolo
-,m,1,Dean Barker
-Former United States Senator,m,4,Dean Barkley
-,m,1,Dean Jacek
-American dancer,m,1,Dean Sheremet
-,f,1,Deb Santos
-American actress,f,1,Debbie Allen
-American actress,f,4,Debbie Reynolds
-,f,2,Debra Brown
-American actress,f,3,Debra Messing
-,f,1,Debra Rose
-,f,1,Debra Shank
-Attorney,f,1,Debra Yang
-,m,1,Deece Eckstein
-Film actor,f,1,Deena Burnett
-Film director,f,1,Deepa Mehta
-,f,1,Della Clara
-Actress,f,1,Delphine Chuillot
-Football player,m,1,Demetrin Veal
-Brazilian basketball player,m,2,Demetrius Ferraciu
-American actress,f,4,Demi Moore
-Member of the Canadian House of Commons,m,1,Denis Coderre
-,m,1,Denis Fassou-Nguesso
-Singer,f,2,Denise Johnson
-,f,1,Denise Locke
-Actress,f,1,Denise van Outen
-Member of the Grand National Assembly of Turkey,m,1,Deniz Baykal
-Former Mayor of Detroit,m,1,Dennis Archer
-Football coach,m,2,Dennis Erickson
-Football coach,m,1,Dennis Franchione
-Former Speaker of the United States House of Representatives,m,6,Dennis Hastert
-American basketball player,m,1,Dennis Johnson
-,m,2,Dennis Kozlowski
-Former U.S. Representative,m,7,Dennis Kucinich
-Comedian,m,1,Dennis Miller
-,m,1,Dennis Oswald
-Baseball player,m,2,Dennis Powell
-Canadian film director,m,1,Denys Arcand
-American actor,m,5,Denzel Washington
-Basketball player,m,1,Dereck Whittenburg
-Football player,m,1,Derek Abney
-British actor,m,1,Derek Bond
-Chief Executive Officer of the Miami Marlins,m,4,Derek Jeter
-Ice hockey player,m,1,Derek King
-Professional baseball pitcher,m,2,Derek Lowe
-American speed skater,m,1,Derek Parra
-Ice hockey defenseman,m,1,Derian Hatcher
-American basketball player,m,1,Derrick Battie
-Former football player,m,1,Derrick Rodgers
-American-German basketball player,m,1,Derrick Taylor
-Former British Prime Minister,m,1,Des Brown
-,f,2,Desiree Lemosi
-,f,1,Desiree McKenzie
-American basketball player,m,1,Desmon Farmer
-American basketball player,m,1,Devin Harris
-Football defensive end,m,1,Dewayne White
-American bodybuilder,m,2,Dexter Jackson
-Canadian jazz pianist,f,6,Diana Krall
-American swimmer,f,3,Diana Munz
-,f,1,Diana Renee Valdivieso Dubon
-Singing group,f,1,Diana Ross
-,f,1,Diana Silvius
-American basketball player,f,2,Diana Taurasi
-,f,1,Diana Taylor
-Richard D. Ball's wife,f,2,Diane Green
-American actress,f,1,Diane Ladd
-American actress,f,1,Diane Lane
-United States Senator,f,3,Dianne Feinstein
-Jazz singer,f,1,Dianne Reeves
-Former U.S. Representative,m,1,Dick Armey
-American basketball coach,m,1,Dick Bennett
-Former Vice President of the United States,m,14,Dick Cheney
-American radio personality,m,3,Dick Clark
-Attorney,m,1,Dick Devine
-Football player,m,1,Dick Jauron
-American film actor,m,2,Dick Latessa
-American businessman,m,1,Dick Posthumus
-American actor,m,1,Dick Smothers
-American coach,m,2,Dick Vermeil
-Alpine ski racer,m,1,Didier Defago
-Argentine soccer player,m,1,Diego Armando Maradona
-,m,1,Diego Colorado
-Argentine film director,m,1,Diego Diego Lerman
-German businessperson,m,1,Dieter Holzer
-Chairman of the Management Board of Mercedes-Benz,m,1,Dieter Zetsche
-Bulgarian soccer player,m,1,Dimitar Berbatov
-,m,1,Dimitri Perricos
-,m,1,Din Samsudin
-,f,1,Dinah Turner
-Italian film director,m,1,Dino Risi
-Film producer,m,2,Dino de Laurentis
-Fictional character,f,1,Dinora Rosales
-American basketball player,m,1,Dion Glover
-,m,1,Dionigi Tettamanzi
-American singer,f,1,Dionne Warwick
-,m,1,Dionyssis Georgiadis
-Former United States Senator,m,1,Dirk Kempthorne
-,f,1,Dita Von Tesse
-Algerian athlete,m,1,Djabir Said-Guerni
-American basketball coach,m,1,Doc Rivers
-American singer-songwriter,f,2,Dolly Parton
-Teacher,f,2,Dolma Tsering
-Actor,m,1,Dominic Monaghan
-American writer,m,1,Dominick Dunne
-American actress,f,2,Dominik Garcia-Lorido
-Tennis player,m,1,Dominik Hrbaty
-French Politician,m,1,Dominique Perben
-Former Prime Minister of France,m,15,Dominique de Villepin
-Canadian Politician,m,1,Don Boudria
-Former Governor of Rhode Island,m,1,Don Carcieri
-American basketball coach,m,1,Don Flanagan
-American musician,m,1,Don Henley
-American television producer,m,1,Don Hewitt
-American promoter,m,1,Don King
-Canadian actor,m,1,Don Lake
-Coach,m,1,Don Matthews
-Football quarterback,m,1,Don Meredith
-Former United States Senator,m,2,Don Nickles
-Former Governor of Alabama,m,4,Don Siegelman
-Fictional character,m,1,Donald Anderson
-American-Canadian businessman,m,1,Donald Carty
-American businessman,m,2,Donald Evans
-Executive Director of the National Hockey League Players' Association,m,4,Donald Fehr
-Author,m,1,Donald Hays
-American physicist,m,1,Donald Keck
-,m,1,Donald Keyser
-American chemical engineer,m,3,Donald Pettit
-Former United States Secretary of the Treasury,m,1,Donald Regan
-Former U.S. Congressman,m,121,Donald Rumsfeld
-45th U.S. President,m,1,Donald Trump
-Italian fashion designer,f,3,Donatella Versace
-,f,1,Donna Barrera
-American political strategist,f,1,Donna Brazile
-Canadian author,f,1,Donna Morrissey
-Aron Ralston's mother,f,1,Donna Ralston
-American Politician,f,2,Donna Shalala
-Jeffrey Walker's sister,f,1,Donna Walker
-,m,1,Donnie Brennan
-American singer,m,1,Donny Osmond
-Former Mayor of Athens,f,1,Dora Bakoyianni
-American actress,f,3,Doris Roberts
-American screenwriter,f,4,Doris Schroeder
-American actress,f,1,Dorothy Lamour
-American actress,f,1,Dorothy Loudon
-American film actress,f,1,Dorothy Wilson
-Martha Moxley's mother,f,2,Dorthy Moxley
-,f,1,Dot Helms
-American basketball player,m,1,Doug Christie
-United States Representative,m,2,Doug Collins
-American Politician,m,2,Doug Duncan
-Canadian baseball manager,m,3,Doug Melvin
-American basketball player,m,1,Doug Moe
-Vermont State Senator,m,1,Doug Racine
-General Manager of the San Jose Sharks,m,1,Doug Wilson
-,m,1,Douglas Faneuil
-Former Attorney General of Maryland,m,1,Douglas Gansler
-Leighton Meester's father,m,1,Douglas Meester
-,m,1,Douglas Paal
-Croat Member of the Presidency of Bosnia and Herzegovina,m,1,Dragan Covic
-American actress,f,2,Drew Barrymore
-Football quarterback,m,1,Drew Bledsoe
-American basketball player,m,1,Drew Gooden
-Politician,m,1,Du Qinglin
-,m,1,Duane Barber
-American bounty hunter,m,2,Duane Lee Chapman
-Actor,m,1,Dudley Rogers
-American actor,m,1,Dule Hill
-Cricketer,m,1,Duncan Fletcher
-,m,1,Dunn Lampton
-Baseball player,m,1,Dustan Mohr
-German-Jamaican tennis player,m,1,Dustin Brown
-American actor,m,1,Dustin Hoffman
-American baseball manager,m,1,Dusty Baker
-,m,1,Dwain Kyles
-Actor,m,2,Dwayne Johnson
-Book by Mary Ann Hoffman,m,1,Dwayne Wade
-Greg Gibson's father,m,1,Dwayne Williams
-Political activist,m,1,Dyab Abou Jahjah
-Australian backstroke swimmer,f,1,Dyana Calub
-American Politician,m,1,E Clay Shaw
-Football running back,m,1,Earl Campbell
-,m,1,Earl Counter
-,m,1,Earl Fritts
-American musician,m,1,Earl Scruggs
-American-New Zealand basketball player,m,1,Ed Book
-American Politician,m,1,Ed Case
-,m,1,Ed Mekertichian
-Former Governor of Pennsylvania,m,1,Ed Rendell
-Horticulturist,m,3,Ed Rosenthal
-Elizabeth Smart's father,m,3,Ed Smart
-American television show,m,1,Ed Sullivan
-,m,1,Ed Wade
-Police officer,m,1,Eddie Compass
-Maltese Politician,m,1,Eddie Fenech Adami
-Irish businessman,m,1,Eddie Jordan
-American soccer player,m,1,Eddie Lewis
-,m,1,Eddie Lucio
-Baseball player,m,1,Eddie Murray
-American basketball coach,m,2,Eddie Sutton
-American executive,m,1,Eddy Hartenstein
-Belgian bicycler,m,2,Eddy Merckx
-Estonian Politician,m,1,Edgar Savisaar
-American television actress,f,2,Edie Falco
-,f,1,Edina Batar
-Kenyan long-distance runner,f,1,Edith Masai
-New Zealand mountaineer,m,3,Edmund Hillary
-German Politician,m,13,Edmund Stoiber
-Executive,m,1,Edouard Michelin
-Writer,m,1,Eduard Limonov
-Former President of Georgia,m,5,Eduard Shevardnadze
-Spanish sculptor,m,1,Eduardo Chillida
-Former President of Argentina,m,14,Eduardo Duhalde
-,m,1,Eduardo Fischer
-Argentine professional golfer,m,1,Eduardo Romero
-American playwright,m,1,Edward Albee
-,m,1,Edward Arsenault
-,m,1,Edward Belvin
-American actor,m,1,Edward Burns
-,m,1,Edward Egan
-American lawyer,m,1,Edward Flynn
-Lawyer,m,1,Edward Greenspan
-Actor,m,2,Edward James Olmos
-Officer,m,1,Edward Johnson
-American composer,m,3,Edward Kennedy
-,m,1,Edward Lohn
-American physicist,m,6,Edward Lu
-American actor,m,2,Edward Norton
-Professor,m,2,Edward Said
-Former Prime Minister of Jamaica,m,1,Edward Seaga
-Former Governor of Louisiana,m,3,Edwin Edwards
-British Politician,f,4,Edwina Currie
-Guatemalan Politician,m,1,Efrain Rios Montt
-Olympic athlete,f,1,Eglis Yaima Cruz
-Freestyle swimmer,f,3,Eileen Coparropa
-,f,1,Eileen Spina
-Latvian Politician,m,1,Einars Repse
-,f,1,Ekaterina Dmitriev
-,m,1,Ekke Hard Forberg
-Soccer player,m,1,El Hadji Diouf
-Venezuelan businessperson,m,1,Eladio Larez
-United States Secretary of Transportation,f,1,Elaine Chao
-American actress,f,1,Elaine Stritch
-Figure skater,f,1,Elena Bereznaya
-Tennis player,f,3,Elena Bovina
-Russian tennis player,f,1,Elena Dementieva
-Russian tennis player,f,1,Elena Likhovtseva
-,f,1,Elena Tihomirova
-Former President of Venezuela,f,1,Elena de Chavez
-American basketball player,m,1,Elgin Baylor
-American entrepreneur,m,1,Eli Broad
-,m,1,Eli Rosenbaum
-,m,1,Eli Stutsman
-Anthropologist,f,4,Eliane Karp
-,m,1,Elias Attallah
-American actor,m,3,Elijah Wood
-,m,1,Elijan Ingram
-Swedish model,f,2,Elin Nordegren
-Former Member of the Legislative Assembly of Ontario,f,2,Elinor Caplan
-Former Governor of New York,m,1,Eliott Spitzer
-Artist,f,2,Elisabeth Schumacher
-American singer,f,1,Elisabeth Welch
-Canadian actress,f,1,Elisha Cuthbert
-Actress,f,1,Eliza Dushku
-,f,1,Eliza Manningham-Buller
-Author,f,1,Elizabeth Berkeley
-Former United States Senator,f,4,Elizabeth Dole
-American art historian,m,1,Elizabeth Hill
-Actress,f,5,Elizabeth Hurley
-Actress,f,1,Elizabeth Pena
-Actress,f,1,Elizabeth Regan
-American actress,f,2,Elizabeth Shue
-American activist,f,5,Elizabeth Smart
-American-British actress,f,2,Elizabeth Taylor
-American actress,f,1,Ellen Barkin
-American comedian,f,2,Ellen DeGeneres
-,f,2,Ellen Engleman
-Sailor,f,1,Ellen MacArthur
-Actor,f,1,Ellen Martin
-American actress,f,1,Ellen Pompeo
-,f,1,Ellen Saracini
-,m,1,Elliott Mincberg
-German Politician,m,1,Elmar Brok
-French actress,f,1,Elodie Bouchez
-,m,1,Eloy Gutierrez
-French film actress,f,6,Elsa Zylberstein
-Singer,m,7,Elton John
-Taiwanese singer,f,1,Elva Hsiao
-Musician,m,1,Elvis Costello
-American singer,m,2,Elvis Presley
-Canadian figure skater,m,1,Elvis Stojko
-Basketball player,m,5,Emanuel Ginobili
-,f,1,Emelie Loit
-Lebanese Politician,m,2,Emile Lahoud
-Mexican businessman,m,1,Emilio Azcarraga Jean
-Spanish banker,m,1,Emilio Botin
-American painter,f,1,Emily Mason
-Actress,f,1,Emily Mortimer
-American songwriter,f,2,Emily Robison
-Actress,f,1,Emily Stevens
-American rapper,m,1,Eminem
-Member of Parliament of the United Kingdom,f,1,Emma Nicholson
-British actress,f,3,Emma Thompson
-Actress,f,5,Emma Watson
-Duke of Savoy,m,1,Emmanuel Filiberto
-Author,m,1,Emmanuel Milingo
-French film actress,f,3,Emmanuelle Beart
-,f,1,Emmanuelle Jagodsinski
-Football running back,m,2,Emmit Smith
-American actress,f,1,Emmy Rossum
-Diplomat,m,1,Emyr Jones Parry
-,f,1,Enola Rice
-Baseball player,m,1,Enos Slaughter
-Italian film director,f,1,Enrica Fico
-,m,1,Enrik Vendt
-Former President of Nicaragua,m,5,Enrique Bolanos
-,m,1,Enrique Haroldo Gorriaran Merlo
-Singer-songwriter,m,1,Enrique Iglesias
-,m,1,Enrique Medina Gomez
-,m,1,Enrique Oliu
-Australian actor,m,1,Eric Bana
-American singer-songwriter,m,1,Eric Benet
-American actor,m,1,Eric Christian Olsen
-Guitarist,m,2,Eric Clapton
-Ice hockey winger,m,1,Eric Daze
-,m,1,Eric Dubin
-Ice hockey centre,m,1,Eric Fehr
-American baseball coach,m,2,Eric Hinske
-Comedian,m,1,Eric Idle
-Canadian ice hockey player,m,1,Eric Lindros
-American actor,m,1,Eric Lloyd
-,m,3,Eric Robert Rudolph
-Musical artist,m,2,Eric Rosser
-,m,1,Eric Ryan Donnelly
-,m,1,Eric Schacht
-Former United States Secretary of Veterans Affairs,m,1,Eric Shinseki
-American basketball player,m,1,Eric Snow
-Canadian ice hockey player,m,1,Eric Staal
-Tennis player,m,1,Eric Taino
-,m,1,Eric Vigouroux
-American baseball manager,m,1,Eric Wedge
-American basketball player,m,1,Erick Barkley
-Mexican professional boxer,m,3,Erik Morales
-American actress,f,2,Erika Christensen
-American attorney,f,5,Erika Harold
-,m,1,Erika Reyes
-Japanese actress,f,1,Eriko Tamura
-2000 film,f,1,Erin Brockovich
-American actress,f,1,Erin Hershey Presley
-,f,4,Erin Runnion
-Former United States Senator,m,1,Ernest Hollings
-Mexican economist,m,2,Ernesto Zedillo
-South African professional golfer,m,4,Ernie Els
-Canadian lawyer,m,2,Ernie Eves
-Former Governor of Kentucky,m,2,Ernie Fletcher
-American basketball player,m,1,Ernie Grunfeld
-American sportscaster,m,1,Ernie Harwell
-Attorney,m,1,Ernie Preate
-Baseball umpire,m,1,Ernie Stewart
-Former White House Chief of Staff,m,1,Erskine Bowles
-,m,1,Erwin Abdullah
-,m,1,Erwin Mapasseng
-,m,1,Esad Landzo
-,m,1,Esteban Cordoba-Velazquez
-Canadian actress,f,1,Estella Warren
-Member of Parliament of the United Kingdom,f,1,Estelle Morris
-,f,1,Ester Canadas
-,f,1,Esther Macklin
-American actor,m,4,Ethan Hawke
-American singer,f,1,Etta James
-Canadian businessman,m,1,Eugene Melnyk
-,m,1,Eugene Teslovic
-Athlete,f,2,Eunice Barber
-Indonesian government official,m,1,Eurico Guterres
-American film actress,f,1,Eva Amurri
-,f,2,Eva Dimas
-Czech supermodel,f,1,Eva Herzigova
-American actress,f,1,Eva Marie Saint
-American actress,f,1,Eva Mendes
-Actor,m,1,Evan Marriott
-American actress,f,3,Evan Rachel Wood
-American professional boxer,m,2,Evander Holyfield
-American playwright,f,1,Eve Ensler
-Canadian tennis player,f,2,Eve Pelletier
-American businesswoman,f,1,Evelyn Lauder
-Russian figure skater,m,1,Evgeni Plushenko
-,f,1,Evie Lazarou
-President of Bolivia,m,1,Evo Morales
-Actor,m,1,Ewan McGregor
-Soccer midfielder,m,1,Fabian Vargas
-Tennis player,f,2,Fabiola Zuluaga
-French tennis player,m,3,Fabrice Santoro
-Argentine-Italian basketball player,m,1,Fabricio Oberto
-Pakistani cricketer,m,1,Faisal Iqbal
-Pakistani Politician,m,1,Faisal Saleh Hayat
-Actress,f,1,Fann Wong
-,f,1,Farida Ragoonanan
-Political figure,m,1,Farouk Kaddoumi
-Syrian Politician,m,3,Farouk al-Sharaa
-,f,1,Fatma Kusibeh
-Politician,m,1,Fatmir Limaj
-Musical artist,f,1,Faye Alibocus
-American actress,f,3,Faye Dunaway
-Singer-songwriter,f,1,Faye Wong
-,m,4,Fayssal Mekdad
-President of the Jamiat Ulema-e-Islam,m,1,Fazal-ur-Rehman
-,m,1,Federico Castelan Sayre
-Italian film director,m,1,Federico Fellini
-Spanish Politician,m,3,Federico Trillo
-Spanish tennis player,m,1,Feliciano Lopez
-American film actress,f,1,Felicity Huffman
-King of Spain,m,1,Felipe De Borbon
-British historian,m,1,Felipe Fernandez
-Cuban electronics engineer,m,4,Felipe Perez Roque
-,m,1,Felix Doh
-Spanish tennis player,m,2,Felix Mantilla
-American-Dominican track and field athlete,m,1,Felix Sanchez
-Puerto Rican professional boxer,m,1,Felix Trinidad
-Hungarian legal scholar,m,2,Ferenc Madl
-Spanish racing driver,m,1,Fernando Alonso
-Tennis player,m,9,Fernando Gonzalez
-Former President of Brazil,m,8,Fernando Henrique Cardoso
-Spanish soccer player,m,1,Fernando Hierro
-Spanish screenwriter,m,1,Fernando Leon de Aranoa
-Spanish soccer player,m,1,Fernando Sanz
-Professional baseball pitcher,m,1,Fernando Valenzuela
-Professional boxer,m,4,Fernando Vargas
-American boxer,m,1,Fernando Velardez
-Motswana Politician,m,1,Festus Mogae
-Former Prime Minister of Cuba,m,18,Fidel Castro
-,m,1,Fidel Castro Daiz-Balart
-,m,1,Filip De Winter
-Italian soccer player,m,3,Filippo Inzaghi
-Italian tennis player,m,1,Filippo Volandri
-,f,1,Fiona Milne
-Olympic swimmer,f,2,Flavia Delaroli
-Italian tennis player,f,1,Flavia Pennetta
-,f,2,Flor Montulo
-Guatemalan model,f,1,Florecita Cobian
-Néstor Kirchner's daughter,f,1,Florencia Kirchner
-Mauricio Macri's sister,f,1,Florencia Macri
-British cook,m,1,Floyd Keith
-American promoter,m,1,Floyd Mayweather
-American actress,f,2,Fran Drescher
-Actress,f,2,Frances Fisher
-Italian soccer player,m,1,Francesco Totti
-American physician,m,1,Francis Collins
-British researcher,m,1,Francis Crick
-Film director,m,2,Francis Ford Coppola
-,m,2,Francis George
-French businessman,m,2,Francis Mer
-United States Ambassador to the Philippines,m,1,Francis Ricciardone
-Salvadoran Politician,m,4,Francisco Flores
-Dominican basketball player,m,1,Francisco Garcia
-Colombian soccer player,m,1,Francisco Maturana
-Former Vice President of Colombia,m,1,Francisco Santos
-,m,1,Francisco Urenda
-,m,1,Franck Cerutti
-Soccer striker,m,1,Franco Cangele
-Theatre director,m,2,Franco Dragone
-Member of Italian Chamber of Deputies,m,1,Franco Frattini
-South African boxer,m,1,Francois Botha
-French film director,m,1,Francois Ozon
-South African rugby player,m,1,Francois Pienaar
-Consultant,m,1,Frank Abagnale Jr
-Football coach,m,1,Frank Beamer
-Former Governor of Nevada,m,1,Frank Bell
-,m,3,Frank Cassell
-American film director,m,1,Frank Coraci
-Lawyer,m,2,Frank Dunham Jr
-,m,2,Frank Griswold
-,m,1,Frank Hilldrup
-Politician,m,1,Frank Hsieh
-Former Governor of Oklahoma,m,1,Frank Keating
-Former United States Senator,m,2,Frank Lautenberg
-American film producer,m,1,Frank Marshall
-Former member of the United States Senate,m,1,Frank Murkowski
-U.S. Representative,m,1,Frank Pallone
-,m,1,Frank Schmoekel
-,m,1,Frank Shea
-American singer,m,1,Frank Sinatra
-Football coach,m,5,Frank Solich
-American actor,m,2,Frank Stallone
-Journalist,m,1,Frank Taylor
-,m,1,Frank Van Ecke
-Football player,m,1,Frank Wycheck
-American musician,m,1,Frank Zappa
-Dutch singer,m,1,Franklin Brown
-,m,1,Franklin Damann
-,m,2,Franko Simatovic
-Soccer player,m,2,Franz Beckenbauer
-Austrian Politician,m,4,Franz Fischler
-Tatjana Gsell's husband,m,1,Franz Gsell
-,m,4,Franz Muentefering
-American musician,m,1,Fred Durst
-American journalist,m,3,Fred Eckhard
-Professional golfer,m,2,Fred Funk
-,m,1,Fred Huff
-American television personality,m,1,Fred Rogers
-American painter,m,1,Fred Swan
-Former United States Senator,m,3,Fred Thompson
-American executive,m,1,Fred Wilpon
-Attorney,f,1,Freda Black
-Baseball pitcher,m,2,Freddy Garcia
-,m,1,Freddy Vasques Kinchokpe
-,m,1,Frederick Madden
-Model,f,1,Frederique van der Wal
-,m,1,Fredric Seaman
-Screenwriter,m,1,Fruit Chan
-,m,6,Fujio Cho
-CEO of Canon,m,1,Fujio Mitarai
-,m,4,GL Peiris
-German Politician,f,1,Gabi Zimmer
-Argentine soccer player,m,2,Gabriel Batistuta
-French rabbi,m,1,Gabriel Farhi
-American basketball player,m,1,Gabriel Hughes
-,m,1,Gabriel Jorge Ferreia
-Chilean Politician,m,2,Gabriel Valdes
-,f,1,Gabriella Bo
-Canadian actress,f,1,Gabrielle Rose
-American actress,f,1,Gabrielle Union
-,m,1,Gael Garcia Bermal
-Tennis player,f,1,Gala Leon Garcia
-Photographer,m,1,Galen Rowell
-Chinese Politician,m,2,Gao Qiang
-,m,1,Garry Alejano
-Chess Grandmaster,m,2,Garry Kasparov
-Australian motorcycle racer,m,1,Garry McCoy
-American cartoonist,m,2,Garry Trudeau
-,m,1,Garry Witherall
-Canadian film producer,m,1,Garth Drabinsky
-,m,1,Gary Bald
-Former football player,m,1,Gary Barnett
-American Politician,m,1,Gary Bauer
-Film director,m,2,Gary Bergeron
-Commissioner of the NHL,m,1,Gary Bettman
-Baseball catcher,m,3,Gary Carter
-American actor,m,1,Gary Coleman
-Former United States Representative,m,1,Gary Condit
-,m,1,Gary Dellaverson
-Canadian Politician,m,3,Gary Doer
-,m,2,Gary Forsee
-,m,1,Gary Gero
-Author,m,1,Gary Gitnick
-American serial killer,m,1,Gary Leon Ridgway
-Former Governor of Washington,m,2,Gary Locke
-American film director,m,1,Gary Marshall
-,m,1,Gary Paer
-,m,1,Gary Sayler
-American actor,m,1,Gary Sinise
-American horse racing jockey,m,1,Gary Stevens
-American basketball coach,m,2,Gary Williams
-American financier,m,2,Gary Winnick
-Tennis player,m,1,Gaston Gaudio
-American musician,m,1,Gavin Degraw
-British judge,m,1,Gavyn Arthur
-Reporter,m,1,Gavyn Davies
-,f,1,Gen Meredith
-American singer,m,1,Gene Autry
-American actor,m,1,Gene Hackman
-American basketball coach,m,1,Gene Keady
-,m,1,Gene Orza
-Canon,m,5,Gene Robinson
-American professional golfer,m,1,Gene Sauers
-American singer,f,1,Gennifer Flowers
-American-Italian basketball coach,m,2,Geno Auriemma
-,m,1,Geoff Dixon
-Former Secretary of State for Transport of the United Kingdom,m,7,Geoff Hoon
-Medical doctor,m,1,Geoffrey Davis
-Australian actor,m,1,Geoffrey Rush
-Publishing company,m,1,George Allen
-American basketball player,m,1,George Blaney
-Olympic swimmer,m,1,George Bovell
-American physician,m,2,George Brumley
-,m,1,George Brumley III
-American actor,m,9,George Clooney
-American professional boxer,m,2,George Foreman
-Former Member of Parliament of the United Kingdom,m,4,George Galloway
-Rugby union halfback,m,1,George Gregan
-41st U.S. President,m,13,George HW Bush
-Musician,m,1,George Harrison
-American basketball coach,m,2,George Karl
-American comedian,m,5,George Lopez
-American filmmaker,m,1,George Lucas
-Former President of Trinidad and Tobago,m,1,George Maxwell Richards
-American basketball player,m,1,George McCloud
-Former American senator,m,1,George Murphy
-American attorney,m,2,George P Bush
-Greek Politician,m,4,George Papandreou
-Former Governor of New York,m,5,George Pataki
-American journalist,m,1,George Plimpton
-Politician,m,22,George Robertson
-American film director,m,2,George Roy Hill
-Former Governor of Illinois,m,4,George Ryan
-Professor,m,2,George Tenet
-Former member of the United States Senate,m,3,George Voinovich
-43rd U.S. President,m,530,George W Bush
-Former President of Bulgaria,m,2,Georgi Parvanov
-,f,1,Georgia Giddings
-Swimmer,f,1,Georgina Bardach
-,f,1,Georgina Papin
-,m,1,Geovani Lapentti
-,m,1,Gerald Barbarito
-American Politician,m,1,Gerald Calabrese
-American basketball player,m,1,Gerald Fitch
-38th U.S. President,m,1,Gerald Ford
-,m,1,Gerald Riley
-Actress,f,4,Geraldine Chaplin
-American attorney,m,1,Geraldo Rivera
-Actor,m,1,Gerard Butler
-Actor,m,2,Gerard Depardieu
-Chairman of Vodafone Group,m,1,Gerard Kleisterlee
-,m,1,Gerard Tronche
-French writer,m,1,Gerard de Cortanze
-,m,2,Gerardo Gambala
-,m,1,Gerhard Boekel
-German businessperson,m,1,Gerhard Schmid
-Former Chancellor of Germany,m,109,Gerhard Schroeder
-Businessman,m,1,German Khan
-Dutch politician,m,1,Gerrit Zalm
-Politician,m,8,Gerry Adams
-Politician,m,1,Gerry Kelly
-American financier,m,2,Gerry Parsky
-,m,1,Ghassan Elashi
-Iranian Politician,m,1,Gholamreza Aghazadeh
-Peruvian singer-songwriter,m,3,Gian Marco
-Italian racing driver,m,1,Giancarlo Fisichella
-Greek businesswoman,f,3,Gianna Angelopoulos-Daskalaki
-Italian industrialist,m,1,Gianni Agnelli
-Costa Rican actress,f,1,Giannina Facio
-,m,1,Gideon Black
-Writer,m,1,Gideon Yago
-American producer,m,1,Gil Cates
-Brazilian-French racing driver,m,5,Gil de Ferran
-Colombian drug lord,m,4,Gilberto Rodriguez Orejuela
-Italian bicycler,m,1,Gilberto Simoni
-French racing driver,m,1,Gilles Panizzi
-American-British film actress,f,2,Gillian Anderson
-,f,1,Gina Centrello
-American actress,f,1,Gina Gershon
-Italian actress,f,1,Gina Lollobrigida
-American television actress,f,1,Gina Torres
-,m,1,Giovanny Cordoba
-Brazilian model,f,2,Gisele Bundchen
-,f,1,Giselle Estefania Tavarelli
-Italian film actress,f,1,Giulietta Masina
-Italian Politician,m,1,Giulio Andreotti
-Olympic athlete,m,4,Giuseppe Gibilisco
-,m,1,Giuseppe Morchio
-Former President of Cyprus,m,4,Glafcos Clerides
-Canadian Politician,m,1,Glen Clark
-,m,1,Glen DaSilva
-President of the New York Rangers,m,1,Glen Sather
-American film actor,m,1,Glenn Plummer
-American basketball coach,m,1,Glenn Rivers
-,m,1,Glenn Tilton
-American attorney,f,2,Gloria Allred
-American singer,f,1,Gloria Gaynor
-Former President of the Philippines,f,44,Gloria Macapagal Arroyo
-Mexican singer-songwriter,f,4,Gloria Trevi
-Former Prime Minister of South Korea,m,2,Goh Kun
-American actress,f,7,Goldie Hawn
-Chinese-Singaporean film actress,f,1,Gong Li
-Badminton player,f,1,Gong Ruina
-,m,1,Gonzalo Barrientos
-Bolivian Politician,m,12,Gonzalo Sanchez de Lozada
-Former Prime Minister of Sweden,m,2,Goran Persson
-Musician,m,1,Goran Zivkovic
-Serbian basketball player,f,1,Gordana Grubin
-Australian soccer player,m,1,Gorden Tallis
-Former British Prime Minister,m,13,Gordon Brown
-Member of the Legislative Assembly of British Columbia,m,2,Gordon Campbell
-American astronaut,m,1,Gordon Cooper
-Canadian singer-songwriter,m,1,Gordon Lightfoot
-Canadian soccer player,m,1,Gordon McDonald
-American film director,m,1,Gore Verbinski
-American writer,m,1,Gore Vidal
-,f,1,Grace Brinell
-Chris Dodd's daughter,f,1,Grace Dodd
-Film actress,f,1,Grace Kelly
-,f,1,Gracia Burnham
-German professional boxer,m,1,Graciano Rocchigiani
-,m,2,Grady Irvin Jr
-Baseball manager,m,1,Grady Little
-Professional baseball player,m,1,Graeme Lloyd
-South African cricketer,m,1,Graeme Smith
-Soccer player,m,1,Graham Bentley
-Australian swimmer,m,5,Grant Hackett
-,m,1,Grant Rossenmeyer
-Former Governor of California,m,26,Gray Davis
-Former soccer player,m,1,Greg Frers
-Canadian ice hockey player,m,2,Greg Gilbert
-,m,1,Greg Hennigar
-,m,1,Greg Hodge
-American actor,m,1,Greg Kinnear
-,m,1,Greg Kinsey
-American basketball player,m,2,Greg Ostertag
-English professional golfer,m,2,Greg Owen
-British-Canadian tennis player,m,4,Greg Rusedski
-American soccer player,m,1,Gregg Berhalter
-President of the San Antonio Spurs,m,5,Gregg Popovich
-Member of the German Bundestag,m,1,Gregor Gysi
-Philippine officer,m,1,Gregorio Honasan
-,m,1,Gregorio Rosal
-,m,2,Gregory Geoffroy
-American dancer,m,2,Gregory Hines
-American actor,m,1,Gregory Peck
-American actress,f,1,Gretchen Mol
-,m,1,Griffin Colvin
-Norwegian Politician,f,2,Gro Harlem Brundtland
-,m,1,Guangdong Ou Guangyuan
-,m,1,Guennadi Chipouline
-German Politician,m,1,Guenter Verheugen
-Former Foreign Minister of Germany,m,2,Guido Westerwelle
-,m,1,Guillaume Cannet
-French actor,m,1,Guillaume Depardieu
-Former Prime Minister of the Ivory Coast,m,2,Guillaume Soro
-Argentine tennis player,m,4,Guillermo Canas
-Tennis player,m,30,Guillermo Coria
-Spanish painter,m,1,Guillermo Monroy
-Argentine soccer player,m,2,Guillermo Ortiz
-,m,1,Guillermo Ruiz Polanco
-Swedish singer,f,1,Gunilla Backman
-German diplomat,m,7,Gunter Pleuger
-Football player,m,1,Gus Frerotte
-American film director,m,3,Gus Van Sant
-Businessman,m,1,Gustavo Cisneros
-Brazilian economist,m,1,Gustavo Franco
-Tennis player,m,3,Gustavo Kuerten
-Politician,m,1,Gustavo Noboa
-Actor,m,1,Gustavo Terrazas
-Dutch football manager,m,1,Guus Hiddink
-Canadian curler,m,2,Guy Hemmings
-Filmmaker,m,2,Guy Ritchie
-Member of the European Parliament,m,1,Guy Verhofstadt
-American singer-songwriter,f,1,Gwen Stefani
-French ice dancer,m,3,Gwendal Peizerat
-American actress,f,6,Gwyneth Paltrow
-,m,1,Habib Hisham
-Indonesian scholar,m,5,Habib Rizieq
-,f,1,Hadley Bilger
-Commissioned officer,m,5,Hal Gehman
-Fictional superhero,m,1,Hal McCoy
-,m,1,Hal Sellers
-American professional golfer,m,2,Hal Sutton
-,m,1,Halbert Fillinger
-American actress,f,16,Halle Berry
-,f,1,Ham Pong-sil
-Burkinabé Politician,m,1,Hama Arba Diallo
-Specialized agency,m,1,Hamad Bin Isa al-Khalifa
-Former Prime Minister of Qatar,m,1,Hamad Bin Jassim
-,m,1,Hamid Efendi
-Former President of Afghanistan,m,22,Hamid Karzai
-Iranian foreign minister,m,1,Hamid Reza Asefi
-,m,1,Hamza Atiya Muhsen
-Former Vice President of Indonesia,m,2,Hamzah Haz
-Soccer player,m,1,Han Sung Joo
-Iranian filmmaker,f,1,Hana Makhmalbaf
-,f,1,Hana Sadiq
-,f,1,Hana Urushima
-Palestinian legislator,f,2,Hanan Ashrawi
-American baseball player,m,1,Hank Aaron
-American actor,m,1,Hank Azaria
-,m,1,Hank Bass
-,m,1,Hank McKinnell
-Football coach,m,1,Hank Stram
-Olympic swimmer,f,2,Hannah Stockbauer
-,m,1,Hanns Schumacher
-German film director,m,1,Hans-Christian Schmid
-Swedish diplomat,m,39,Hans Blix
-Swedish lawyer,m,1,Hans Corell
-German Politician,m,3,Hans Eichel
-,m,1,Hans Leistritz
-Soccer player,m,1,Hans Peter Briegel
-Politician,m,1,Harald Ringstorff
-Indian cricketer,m,2,Harbhajan Singh
-Attorney,m,1,Harland Braun
-Former U.S. Secretary of Defense,m,1,Harold Brown
-,m,1,Harold Scott
-,f,1,Harriet Lessy
-American actor,m,12,Harrison Ford
-American singer,m,2,Harry Belafonte
-American sportscaster,m,2,Harry Kalas
-General,m,4,Harry Schmidt
-German mechanical engineer,m,1,Hartmut Mehdorn
-American actor,m,1,Harvey Fierstein
-,m,1,Harvey Wachsman
-American film producer,m,2,Harvey Weinstein
-,m,1,Hasan Wirayuda
-Sri Lankan cricketer,m,1,Hashan Tillakaratne
-President of Kosovo,m,2,Hashim Thaci
-Secretary-General of Hezbollah,m,2,Hassan Nasrallah
-Indonesian Politician,m,2,Hassan Wirajuda
-Sultan of Brunei,m,1,Hassanal Bolkiah
-,f,1,Hatsui Hasuike
-Former President of Azerbaijan,m,1,Haydar Aliyev
-American actress,f,1,Hayden Panettiere
-Olympic athlete,f,2,Hayley Tullett
-Australian actor,m,4,Heath Ledger
-,f,1,Heather Chinnock
-American actress,f,1,Heather Locklear
-Media personality,f,4,Heather Mills
-,f,1,Heather Whitestone McCallum
-,m,1,Heather Willson
-Argentine-Brazilian film director,m,3,Hector Babenco
-,m,1,Hector Grullon
-,m,1,Hector Mitelman
-Former Vice President of Afghanistan,m,1,Hedayat Amin Arsala
-South Korean professional golfer,f,3,Hee-Won Han
-American madam,f,4,Heidi Fleiss
-Model,f,5,Heidi Klum
-German mathematician,m,1,Heinrich Wolfgang
-,m,3,Heinz Feldmann
-Japanese economist,m,9,Heizo Takenaka
-Actress,f,1,Helen Alvare
-Former Prime Minister of New Zealand,f,4,Helen Clark
-American basketball player,f,1,Helen Darling
-Rob Schneider's ex-wife,f,1,Helena Schneider
-Actor,f,1,Helene Eksterowicz
-Brazilian racing driver,m,1,Helio Castroneves
-Brazilian basketball player,m,1,Helio Rubens Garcia
-,m,1,Helmut Panke
-Brazilian model,f,1,Helo Pinheiro
-,m,1,Henk Bekedam
-German lawyer,m,1,Henning Scherf
-French businessman,m,1,Henri Proglio
-Former Minister of Finance of Brazil,m,2,Henrique Meirelles
-,m,1,Henry Castellanos
-,m,1,Henry Hilow
-Member of the United States House of Representatives,m,1,Henry Hyde
-Former United States Secretary of State,m,1,Henry Kissinger
-,m,1,Henry Suazo
-American ice hockey player,m,1,Herb Brooks
-Politician,m,1,Herb Dhaliwal
-American photographer,m,1,Herb Ritts
-American basketball coach,m,4,Herb Sendek
-Austrian Politician,m,1,Herbert Haupt
-American pianist,m,1,Herbie Hancock
-Football coach,m,1,Herman Edwards
-Football player,m,1,Herman Moore
-,m,1,Hermando Harton
-Austrian alpine ski racer,m,2,Hermann Maier
-Tennis player,m,1,Hermes Gamonal
-Filipino Politician,m,1,Hermogenes Ebdane Jr
-Soccer player,m,1,Hernan Crespo
-Soccer player,m,1,Hernan Diaz
-,f,2,Herta Daeubler-Gmelin
-,f,1,Hestrie Cloette
-,m,2,Hichiro Naemura
-Baseball outfielder,m,2,Hideki Matsui
-Video game company,m,1,Hideki Sato
-Former soccer player,m,1,Hidetoshi Nakata
-Iraqi Politician,m,1,Hikmat al-Azzawi
-American actress,f,3,Hilary Duff
-British writer,f,1,Hilary McKay
-Quinton Fortune's mother,f,1,Hilda Fortune
-Former First Lady of the United States,f,14,Hillary Clinton
-,m,1,Hilmi Akin Zorlu
-General,m,2,Hilmi Ozkok
-,m,1,Himmler Rebu
-Former President of the Dominican Republic,m,4,Hipolito Mejia
-,m,1,Hiroki Gomi
-Japanese voice actor,m,1,Hiroyuki Yoshino
-,m,2,Hisao Oguchi
-Japanese diplomat,m,1,Hisashi Owada
-,m,1,Hisham Halawi
-Charles Robert Jenkins' wife,f,5,Hitomi Soga
-Japanese physician,m,1,Hitoshi Oshitani
-Japanese diplomat,m,1,Hitoshi Tanaka
-,f,1,Hoda Asfor
-American actress,f,7,Holly Hunter
-American actress,f,1,Holly Robinson Peete
-South Korean soccer player,m,1,Hong Myung
-Executive,m,2,Hootie Johnson
-,m,1,Horace Donovan Reid
-Author,m,1,Horace Newcomb
-,m,1,Horacio Julio Pina
-,m,1,Horacio de Jesus Montoya
-Former President of Germany,m,3,Horst Koehler
-Former President of Egypt,m,9,Hosni Mubarak
-Former Governor of Vermont,m,12,Howard Dean
-Italian film actor,m,1,Howard Ross
-American businessman,m,2,Howard Schultz
-Company,m,2,Howard Smith
-American radio personality,m,1,Howard Stern
-Businessman,m,1,Howard Stringer
-Soccer player,m,1,Howard Wilkinson
-Indian actor,m,1,Hrithik Roshan
-Former General Secretary of the Communist Party of China,m,15,Hu Jintao
-,m,1,Hu Maoyuan
-,m,1,Huan Chung Yi
-,m,1,Huang Suey-Sheng
-American professional golfer,m,1,Hubert Green
-American basketball coach,m,1,Hubie Brown
-Former football player,m,1,Hugh Campbell
-Former Governor of New York,m,1,Hugh Carey
-Actor,m,9,Hugh Grant
-American businessman,m,1,Hugh Hefner
-Ice hockey winger,m,1,Hugh Jessiman
-Scottish geologist,m,1,Hugh Miller
-Former President of Venezuela,m,71,Hugo Chavez
-Argentine soccer player,m,1,Hugo Colace
-Volleyball player,m,1,Hugo Conte
-Portuguese soccer player,m,1,Humberto Coelho
-Mexican soccer player,m,1,Humberto Espinoza
-Prime Minister of Cambodia,m,4,Hun Sen
-Olympic athlete,f,1,Hung Wan-ting
-Company,m,1,Hunter Bates
-Triathlete,m,1,Hunter Kemper
-,m,1,Hushiar Zebari
-,m,1,Hussam Mohammed Amin
-,m,1,Hussein Malik
-Indonesian businessman,m,1,Hutomo Mandala Putra
-,m,1,Hwang Doo-yun
-Soccer player,m,1,Iain Anderson
-Member of Parliament of the United Kingdom,m,4,Iain Duncan Smith
-,m,1,Iain Richmond
-Scottish music writer,m,1,Ian Campbell
-Singer-songwriter,m,1,Ian Gillan
-,m,1,Ian Huntley
-Australian businessman,m,1,Ian Knop
-Actor,m,3,Ian McKellen
-Ice hockey player,m,1,Ian Moran
-Politician,m,1,Ian Smith
-Australian swimmer,m,10,Ian Thorpe
-Researcher,m,1,Ian Wilmut
-Bicycler,m,2,Iban Mayo
-Author,m,1,Ibrahim Al-Marashi
-Syrian Politician,m,1,Ibrahim Haddad
-,m,1,Ibrahim Hilal
-Former Prime Minister of Iraq,m,2,Ibrahim Jaafari
-Political leader,m,1,Ibrahim Rugova
-Former President of Uganda,m,1,Idi Amin
-,m,1,Ignacio Antonio Velasco
-American canon,m,1,Ignatius Wang
-Former Minister of Foreign Affairs of the Russian Federation,m,20,Igor Ivanov
-Politician,m,1,Igor Trunov
-Brazilian-Israeli economist,m,1,Ilan Goldfajn
-Israeli fighter pilot,m,3,Ilan Ramon
-President of Azerbaijan,m,1,Ilham Aliev
-Romanian tennis player,m,1,Ilie Nastase
-Author,m,1,Imad Khadduri
-Syrian ambassador,m,2,Imad Moustapha
-,m,1,Imam Samudra
-Filipino socialite,f,1,Imelda Marcos
-Prime Minister of Pakistan,m,1,Imran Khan
-,m,1,Imre Kertasz
-Cricketer,m,2,Inam-ul-Haq
-Infanta,f,1,Infanta Cristina
-,f,1,Inga Hall
-Colombian-French politician,f,1,Ingrid Betancourt
-Spanish diplomat,m,2,Inocencio Arias
-,f,3,Intisar Ajouri
-Romanian Politician,m,1,Ion Iliescu
-Romanian businessman,m,1,Ion Tiriac
-,m,1,Ira Einhorn
-,f,1,Iran Brown
-Arthur Marx's ex-wife,f,1,Irene Kahn
-Cricketer,m,1,Irfan Ahmed
-,f,1,Irina Framtsova
-Russian ice dancer,f,1,Irina Lobacheva
-Olympic athlete,f,1,Irina Yatchenko
-Attorney General for the District of Columbia,m,1,Irv Nathan
-,m,1,Irwan Fadzi Idris
-Film editor,f,1,Isabel Orellana
-Swimmer,f,1,Isabela Moraes
-Actress,f,3,Isabella Rossellini
-French actress,f,2,Isabelle Huppert
-Actor,m,2,Isaiah Washington
-Inventor,m,2,Ishaq Shahryar
-,m,1,Isidro Pastor
-Former President of Uzbek SSR,m,1,Islam Karimov
-Singer,m,1,Ismael Miranda
-Political leader,m,1,Ismail Abu Shanab
-Turkish Politician,m,1,Ismail Cem
-Politician,m,1,Ismail Khan
-Indian film producer,m,2,Ismail Merchant
-Former President of Brazil,m,1,Itamar Franco
-American-Israeli Violinist,m,1,Itzhak Perlman
-Tennis player,f,2,Iva Majoli
-Spanish soccer player,m,1,Ivan Helguera
-,m,1,Ivan Lee
-Actor,m,1,Ivan Shvedoff
-Politician,m,1,Ivan Stambolic
-Model,f,1,Ivana Trump
-Czech tennis player,f,1,Iveta Benesova
-Volleyball player,m,1,Ivo Dubs
-Iraqi Politician,m,1,Izzat Ibrahim
-American singer-songwriter,m,1,JC Chasez
-American basketball player,m,2,JJ Redick
-British novelist,f,6,JK Rowling
-,m,1,JP Suarez
-Baseball player,m,1,JT Snow
-Dutch politician,m,1,Jaap de Hoop Scheffer
-,m,1,Jack Goodman
-,m,2,Jack Grubman
-Author,m,1,Jack Knowlton
-Fitness expert,m,1,Jack LaLanne
-American actor,m,3,Jack Nicholson
-Ozzy Osbourne's son,m,1,Jack Osbourne
-American filmmaker,m,1,Jack Smith
-Politician,m,28,Jack Straw
-Lobbyist,m,1,Jack Valenti
-American executive,m,1,Jack Welch
-Martial artist,m,13,Jackie Chan
-,m,1,Jackie Dennis
-Football player,m,1,Jackie Sherrill
-Singer,m,1,Jacky Cheung
-Economist,m,1,Jacob Frenkel
-,f,1,Jacqueline Edwards
-Chief Executive of Ann Summers,f,1,Jacqueline Gold
-,f,1,Jacqueline Marris
-American actress,f,2,Jacqueline Obradors
-Former President of France,m,52,Jacques Chirac
-South African cricketer,m,1,Jacques Kallis
-Belgian physician,m,10,Jacques Rogge
-Canadian racing driver,m,1,Jacques Villeneuve
-American actress,f,2,Jada Pinkett Smith
-Jewellery designer,f,1,Jade Jagger
-Islamic scholar,m,1,Jafar Umar Thalib
-,m,1,Jaime Orti
-American actress,f,1,Jaime Pressly
-,m,1,Jake Brace
-American actor,m,5,Jake Gyllenhaal
-Former football player,m,1,Jake Plummer
-Swiss diplomat,m,1,Jakob Kellenberger
-Former President of Iraq,m,1,Jalal Talabani
-American basketball player,m,1,Jalen Rose
-Former White House Chief of Staff,m,1,James Baker
-,m,1,James Ballenger
-American executive,m,1,James Barksdale
-Author,m,1,James Becker
-Singer-songwriter,m,14,James Blake
-,m,1,James Brazelton
-,m,1,James Brosnahan
-American singer,m,1,James Brown
-American olympic athlete,m,2,James Butts
-American actor,m,3,James Caan
-Canadian filmmaker,m,3,James Cameron
-American commentator,m,1,James Carville
-American actor,m,1,James Coburn
-Painter,m,1,James Collinson
-,m,1,James Comey
-,m,1,James Coviello
-Rugby player,m,3,James Cunningham
-Justice,m,1,James Dingemans
-American actor,m,2,James Franco
-American actor,m,3,James Gandolfini
-Swimmer,m,1,James Gibson
-,m,1,James Hakett
-Author,m,1,James Hallock
-Songwriter,m,1,James Harris
-Television personality,m,1,James Hill
-American labor leader,m,1,James Hoffa
-English poet,m,1,James Hughes
-American film director,m,2,James Ivory
-Football wide receiver,m,2,James Jones
-Australian rules footballer,m,11,James Kelly
-English cricketer,m,1,James Kirtley
-,m,4,James Kopp
-,m,1,James Layug
-Historian,m,1,James Lockhart
-Canadian basketball player,m,2,James Maguire
-American basketball player,m,1,James Mathis
-Television presenter,m,1,James May
-Former Governor of New Jersey,m,4,James McGreevey
-American professional wrestling promoter,m,1,James McMahon
-American historian,m,1,James McPherson
-Legislator,m,1,James Meeks
-,m,1,James Meredeth
-American bass,m,2,James Morris
-Chief Executive Officer of 21st Century Fox,m,1,James Murdoch
-Soccer player,m,2,James Parker
-Actor,m,1,James Phelps
-Rugby league rugby centre,m,1,James Roberts
-Scholar,m,1,James Robertson Jr
-American mixed martial artist,m,2,James Schultz
-United States Representative,m,1,James Sensenbrenner
-American boxer,m,2,James Smith
-,m,1,James Spalding
-Former United States Representative,m,3,James Traficant
-Author,m,1,James W Kennedy
-,m,1,James Wallack
-Inventor,m,1,James Watt
-,m,1,James Wattana
-American actor,m,1,James Williams
-American-Australian lawyer,m,5,James Wolfensohn
-Physician,m,1,James Young
-Basketball player,f,1,Jamie Carey
-American ice hockey player,m,1,Jamie Cooke
-CEO of JPMorgan Chase,m,1,Jamie Dimon
-,m,1,Jamie Kellner
-American actress,f,1,Jamie King
-,f,1,Jamie Lee Curtis
-Football player,m,1,Jamie Martin
-,m,1,Jamie Olis
-,m,2,Jamie Villafane
-Former football player,m,1,Jamir Miller
-Mountain climber,m,2,Jamling Norgay
-American tennis player,m,3,Jan-Michael Gambill
-,m,1,Jan Bjoerklund
-Dutch cinematographer,m,1,Jan De Bont
-,m,1,Jan Paul Miller
-Former Prime Minister of the Netherlands,m,1,Jan Peter Balkenende
-Norwegian Politician,m,1,Jan Petersen
-Dutch politician,m,1,Jan Pronk
-German bicycler,m,6,Jan Ullrich
-American basketball player,m,1,Jan van Breda Kolff
-Freestyle swimmer,f,1,Jana Henke
-Australian athlete,f,1,Jana Pittman
-American journalist,f,1,Jane Clayson
-American actress,f,2,Jane Fonda
-American actress,f,2,Jane Kaczmarek
-American actress,f,1,Jane Krakowski
-Actress,f,1,Jane Leeves
-Australian actress,f,1,Jane Menelaus
-American television journalist,f,2,Jane Pauley
-Actress,f,1,Jane Riley
-Singer,f,1,Jane Rooney
-American film actress,f,1,Jane Russell
-Journalist,f,1,Jane Walker Wood
-,f,1,Janela Jara
-Actor,f,1,Janet Chandler
-,f,1,Janet Crawford
-Politician,f,1,Janet Ecker
-Author,f,1,Janet Horvath
-American actress,f,1,Janet Leigh
-Former Governor of Arizona,f,4,Janet Napolitano
-,f,2,Janet Thorpe
-Slovak tennis player,f,1,Janette Husarova
-Former Prime Minister of Slovenia,m,1,Janez Drnovsek
-Alpine ski racer,f,2,Janica Kostelic
-,f,1,Janice Abreu
-Film producer,f,1,Janice Goldfinger
-German backstroke swimmer,f,1,Janine Pietsch
-,f,1,Janis Ruth Coulter
-Cinematographer,m,1,Janusz Kaminski
-Moroccan long-distance runner,m,1,Jaouad Gharib
-,f,1,Jaqueline Godoy
-Ice hockey winger,m,1,Jaromir Jagr
-American actor,m,2,Jason Alexander
-American radio disc jockey,m,1,Jason Bentley
-American actor,m,1,Jason Biggs
-Football quarterback,m,1,Jason Campbell
-Football player,m,1,Jason Clermont
-American basketball player,m,1,Jason Gardner
-Professional baseball player,m,2,Jason Jennings
-American basketball player,m,1,Jason Kapono
-Basketball player,m,1,Jason Keep
-American basketball coach,m,10,Jason Kidd
-American swimmer,m,2,Jason Lezak
-American television actor,m,1,Jason Mewes
-Actor,m,1,Jason Petty
-American-Canadian actor,m,1,Jason Priestley
-Football cornerback,m,1,Jason Sehorn
-Lecturer,m,1,Jason Sorens
-Actor,m,1,Jason Statham
-Author,m,1,Jason Vale
-Football quarterback,m,1,Jason White
-Spanish actor,m,1,Javier Bardem
-Spanish actor,m,1,Javier Camara
-Uruguayan soccer player,m,1,Javier Delgado
-Soccer player,m,1,Javier Saviola
-Spanish physicist,m,10,Javier Solana
-Spanish guitarist,m,1,Javier Vargas
-Spanish television presenter,m,1,Javier Vazquez
-Volleyball player,m,3,Javier Weber
-Argentine soccer player,m,1,Javier Zanetti
-,m,1,Jawad Boulus
-General,m,6,Jay Garner
-American comedian,m,3,Jay Leno
-CFO of Disney,m,2,Jay Rasulo
-Tennis player,m,1,Jaymon Crabb
-,f,1,Jayne Yarris
-American basketball player,m,3,Jayson Williams
-,m,2,Jean-Claude Braquet
-President of the European Commission,m,2,Jean-Claude Juncker
-French economist,m,2,Jean-Claude Trichet
-Belgian actor,m,1,Jean-Claude Van Damme
-French diplomat,m,10,Jean-David Levitte
-,m,1,Jean-Francois Lemounier
-Businessman,m,3,Jean-Francois Pontal
-Film actor,m,1,Jean-Luc Bideau
-,m,1,Jean-Marc Olive
-Ambassador,m,2,Jean-Marc de La Sabliere
-French bicycler,m,1,Jean-Patrick Nazon
-Politician,m,1,Jean-Pierre Bemba
-Former Prime Minister of France,m,7,Jean-Pierre Raffarin
-,m,1,Jean-Rene Fourtou
-Ice hockey goaltender,m,2,Jean-Sebastien Giguere
-,f,2,Jean Brumley
-Former United States Senator,f,2,Jean Carnahan
-Canadian guitarist,m,17,Jean Charest
-Former Prime Minister of Canada,m,55,Jean Chretien
-,f,1,Jean Nagel
-President of the Fédération Internationale de l'Automobile,m,1,Jean Todt
-Former United States Ambassador to the United Nations,f,1,Jeane Kirkpatrick
-Danish swimmer,f,1,Jeanette Gray
-,f,1,Jeanette Stauffer
-,f,1,Jeanne Anne Schroeder
-French actress,f,2,Jeanne Moreau
-,f,1,Jeannette Biedermann
-Former Governor of Florida,m,12,Jeb Bush
-American actor,m,1,Jeff Bridges
-American basketball coach,m,1,Jeff Bzdelik
-,m,1,Jeff Dederian
-Actor,m,1,Jeff Feldman
-Former football player,m,1,Jeff George
-American basketball coach,m,1,Jeff Hornacek
-,m,1,Jeff Roehm
-,m,1,Jeff Schiffner
-American basketball coach,m,3,Jeff Van Gundy
-Baseball player,m,1,Jeff Weaver
-Olympic athlete,m,2,Jefferson Perez
-,m,1,Jeffery Hendren
-,m,1,Jeffery Strelzin
-Member of Parliament of the United Kingdom,m,2,Jeffrey Archer
-American mechanical engineer,m,1,Jeffrey Ashby
-Member of Parliament of the United Kingdom,m,1,Jeffrey Donaldson
-American executive,m,2,Jeffrey Immelt
-American character actor,m,2,Jeffrey Jones
-American businessman,m,1,Jeffrey Katzenberg
-American professor,m,1,Jeffrey Pfeffer
-,m,2,Jeffrey Scott Postell
-Writer,f,8,Jelena Dokic
-,f,1,Jen Bice
-American reality show,f,1,Jen Schefft
-American actress,f,1,Jenna Elfman
-American Politician,f,1,Jennette Bradley
-American olympian,f,1,Jennie Finch
-American actress,f,1,Jennie Garth
-American actress,f,21,Jennifer Aniston
-American tennis player,f,42,Jennifer Capriati
-American actress,f,4,Jennifer Connelly
-,f,1,Jennifer Furminger
-American actress,f,12,Jennifer Garner
-Former Governor of Michigan,f,1,Jennifer Granholm
-Court case,f,1,Jennifer Gratz
-Fictional character,f,4,Jennifer Keller
-American singer,f,21,Jennifer Lopez
-American actress,f,1,Jennifer Love Hewitt
-,f,1,Jennifer McCoy
-,f,1,Jennifer Murray
-American singer,f,1,Jennifer Pena
-Australian swimmer,f,2,Jennifer Reilly
-,f,1,Jennifer Renee Short
-American speed skater,f,2,Jennifer Rodriguez
-Actress,f,2,Jennifer Thompson
-American-Canadian actress,f,1,Jennifer Tilly
-,f,1,Jenny Romero
-Soccer player,m,1,Jens Lehmann
-South Korean Politician,m,9,Jeong Se-hyun
-American art director,f,1,Jerelle Kraus
-Judge,m,1,Jeremy Fogel
-Fictional character,m,1,Jeremy Gompertz
-British diplomat,m,24,Jeremy Greenstock
-Football tight end,m,2,Jeremy Shockey
-Canadian speed skater,m,1,Jeremy Wotherspoon
-Actress,f,1,Jeri Ryan
-French tennis player,m,1,Jerome Golmard
-Basketball coach,m,1,Jerome Jenkins
-,m,1,Jerry Angelo
-American film producer,m,1,Jerry Bruckheimer
-Businessman,m,1,Jerry Colangelo
-American televangelist,m,2,Jerry Falwell
-American model,f,1,Jerry Hall
-American businessman,m,1,Jerry Jones
-American comedian,m,1,Jerry Lewis
-,m,1,Jerry McEntee
-American basketball coach,m,1,Jerry Oliver
-,m,1,Jerry Pauley
-,m,4,Jerry Regier
-Football wide receiver,m,1,Jerry Rice
-American stand-up comedian,m,1,Jerry Seinfeld
-,m,1,Jerry Sexton
-American basketball player,m,1,Jerry Sloan
-American-British television presenter,m,4,Jerry Springer
-Basketball coach,m,1,Jerry Tarkanian
-Swedish professional golfer,m,1,Jesper Parnevik
-American singer-songwriter,m,3,Jesse Harris
-Former United States Senator,m,1,Jesse Helms
-American civil rights activist,m,9,Jesse Jackson
-American professional wrestler,m,1,Jesse James
-American professional boxer,m,2,Jesse James Leija
-American actor,m,3,Jesse Ventura
-American actress,f,2,Jessica Alba
-American actress,f,1,Jessica Biel
-American basketball player,f,1,Jessica Brungo
-American actress,f,1,Jessica Capshaw
-American film actress,f,2,Jessica Lange
-Soldier,f,2,Jessica Lynch
-American singer,f,1,Jessica Simpson
-Spanish lawyer,m,1,Jesus Cardenal
-Liberian Politician,f,1,Jewel Howard-Taylor
-Political leader,m,2,Jia Qinglin
-Former General Secretary of the Communist Party of China,m,20,Jiang Zemin
-Baseball pitcher,m,1,Jim Abbott
-American professional golfer,m,1,Jim Ahern
-Recording engineer,m,1,Jim Anderson
-Baseball player,m,1,Jim Beattie
-Football coach,m,1,Jim Bollman
-Former United States Senator,m,1,Jim Bunning
-Basketball coach,m,1,Jim Calhoun
-American businessman,m,1,Jim Cantalupo
-American-Canadian actor,m,3,Jim Carrey
-Former Governor of Wisconsin,m,1,Jim Doyle
-Baseball center fielder,m,2,Jim Edmonds
-American coach,m,1,Jim Fassel
-Former Member of Provincial Parliament of Ontario,m,1,Jim Flaherty
-,m,1,Jim Freudenberg
-American professional golfer,m,6,Jim Furyk
-Rugby player,m,1,Jim Greenwood
-Former Mayor of Los Angeles,m,4,Jim Hahn
-Professional baseball player,m,1,Jim Hardin
-American basketball coach,m,2,Jim Harrick
-Football coach,m,1,Jim Haslett
-,m,1,Jim Hendry
-Former American senator,m,1,Jim Jeffords
-Football quarterback,m,1,Jim Kelly
-Former U.S. Representative,m,1,Jim Leach
-American attorney,m,1,Jim Letten
-,m,1,Jim Nochols
-Newscaster,m,3,Jim OBrien
-Football center,m,1,Jim Otto
-Baseball player,m,1,Jim Parque
-American basketball player,m,1,Jim Paxson
-Olympic swimmer,m,1,Jim Piper
-Former Illinois Attorney General,m,1,Jim Ryan
-Event,m,1,Jim Schwarz
-,m,1,Jim Spinoza
-,m,1,Jim Sterk
-Former American senator,m,1,Jim Talent
-Football fullback,m,1,Jim Taylor
-American baseball player,m,1,Jim Thome
-President of Youngstown State University,m,4,Jim Tressel
-,m,1,Jim Wall
-,m,1,Jim Wessling
-Lyricist,m,1,Jim Wong
-Former football player,m,1,Jim Zorn
-39th U.S. President,m,9,Jimmy Carter
-Baseball player,m,1,Jimmy Gobble
-,m,1,Jimmy Gurule
-American record producer,m,1,Jimmy Iovine
-,m,1,Jimmy Jimenez
-American talk show,m,2,Jimmy Kimmel
-American evangelist,m,1,Jimmy Lee
-American actor,m,1,Jimmy Smits
-,m,1,Jimmy Szymanski
-Czech tennis player,m,11,Jiri Novak
-American musical artist,f,2,Jo Dee Messina
-,m,1,Jo Joong-hyon
-American lawyer,f,2,Joan Claybrook
-Actress,f,1,Joan Collins
-,f,1,Joan Dangerfield
-American singer-songwriter,f,1,Joan Jett
-Spanish Politician,m,9,Joan Laporta
-Actress,f,1,Joanna Poitier
-,f,1,Joanne Duquette
-American actress,f,1,Joanne Woodward
-,m,1,Joao Rocha
-Brazilian economist,m,1,Joaquim Levy
-Spanish professional road racing cyclist,m,1,Joaquim Rodriguez
-American actor,m,1,Joaquin Phoenix
-Spanish soccer player,m,1,Joaquin Sanchez
-Dutch Politician,m,2,Job Cohen
-American actress,f,3,Jodie Foster
-Australian swimmer,f,1,Jodie Henry
-Fashion model,f,1,Jodie Kidd
-,m,1,Jody Richards
-Professional boxer,m,2,Joe Calzaghe
-American film director,m,1,Joe Carnahan
-Singer,m,1,Joe Cocker
-American basketball coach,m,1,Joe Cravens
-Baseball player,m,1,Joe Crede
-,m,1,Joe Darrell
-Former football player,m,1,Joe DeLamielleure
-,m,1,Joe Dicaro
-American basketball player,m,2,Joe Dumars
-Ice hockey defenseman,m,1,Joe Finley
-,m,1,Joe Friedberg
-Soccer player,m,1,Joe Garner
-Canadian boxer,m,2,Joe Gatti
-Provost of the University of Florida,m,1,Joe Glover
-American motorcycle racer,m,1,Joe Leonard
-Former United States Senator,m,13,Joe Lieberman
-American actor,m,1,Joe Mantegna
-American actor,m,2,Joe Mantello
-Brazilian musician,m,1,Joe Mendes
-Fictional character,m,1,Joe Metz
-American musical artist,m,4,Joe Nichols
-American character actor,m,1,Joe Pantoliano
-Football player,m,1,Joe Paterno
-CEO of Willis Group,m,1,Joe Plumeri
-Musician,m,1,Joe Strummer
-American executive,m,4,Joe Torre
-,m,1,Joe Vandever
-American television director,m,1,Joel Gallen
-,m,1,Joel Todd
-,m,2,Joerg Haider
-,m,1,Joey Buttafuoco
-Football quarterback,m,1,Joey Harrington
-American speed skater,m,1,Joey Mantia
-Belgian bicycler,m,1,Johan Bruyneel
-Former President of Germany,m,1,Johannes Rau
-General,m,9,John Abizaid
-American serial killer,m,11,John Allen Muhammad
-American musician,m,1,John Anderson
-Former Governor of Missouri,m,53,John Ashcroft
-Former Governor of Maine,m,1,John Baldacci
-,m,2,John Banko
-Composer,m,1,John Barnett
-American comedian,m,1,John Belushi
-Anthony Fazio's father,m,2,John Blaney
-National Security Advisor of the United States,m,17,John Bolton
-Soccer player,m,1,John Bond
-American basketball coach,m,2,John Brady
-Baseball player,m,1,John Burkett
-Member of Parliament of the United Kingdom,m,1,John Burnett
-Irish writer,m,1,John Connolly
-,m,1,John Coomber
-United States Senator,m,1,John Cornyn
-Musical artist,m,1,John Cruz
-American actor,m,2,John Cusack
-,m,1,John Dallager
-,m,1,John Daly Jr
-Former United States Senator,m,1,John Danforth
-Ecclesiastic,m,1,John Darby
-American photographer,m,1,John Duprey
-Attorney,m,1,John Eastman
-American Politician,m,1,John Eder
-Former American senator,m,8,John Edwards
-Football quarterback,m,1,John Elway
-Former Governor of Michigan,m,1,John Engler
-35th U.S. President,m,2,John F Kennedy Jr
-American professor,m,1,John Fenn
-Ice hockey player,m,1,John Ferguson
-Former football player,m,1,John Fox
-Baseball player,m,1,John Franco
-United States Representative,m,2,John Garamendi
-American priest,m,1,John Geoghan
-Australian rules footballer,m,1,John Goold
-,m,1,John Gordnick
-Ice hockey player,m,1,John Gruden
-Soccer player,m,1,John Hartson
-Poet,m,1,John Henry
-United states naval aviator,m,1,John Herrington
-Former Prime Minister of Australia,m,19,John Howard
-Fictional superhero,m,1,John Jones
-,m,2,John Jumper
-American actor,m,1,John Kerr
-Former United States Secretary of State,m,17,John Kerry
-Former Viceroy of India,m,1,John Lawrence
-Actor,m,1,John Leguizamo
-Singer-songwriter,m,1,John Lennon
-,m,1,John Lisowski
-American actor,m,1,John Lithgow
-Football strong safety,m,1,John Lynch
-Baseball player,m,1,John Mabry
-Football coach,m,1,John Madden
-American actor,m,3,John Malkovich
-Canadian lawyer,m,7,John Manley
-American physicist,m,1,John Marburger
-American singer-songwriter,m,3,John Mayer
-Former United States Senator,m,7,John McCain
-Australian theatre actor,m,2,John McCallum
-Tenor,m,2,John McCormack
-American tennis player,m,2,John McEnroe
-Football coach,m,1,John McKay
-American writer,m,1,John Moe
-American professional wrestler,m,1,John Moxley
-American mathematician,m,1,John Nash
-United States Director of National Intelligence,m,31,John Negroponte
-Australian counsel,m,1,John Nimmo
-American Politician,m,1,John Norquist
-American entrepreneur,m,1,John Paul DeJoria
-Pope,m,11,John Paul II
-,m,1,John Perrota
-Priest,m,1,John Petty
-CEO of Exor,m,1,John Philip Elkann
-Member of Parliament of the United Kingdom,m,1,John Prescott
-Member of Parliament of the United Kingdom,m,3,John Reid
-American television actor,m,2,John Reilly
-Surgeon,m,1,John Richardson
-Franchiser,m,2,John Rigas
-American author,m,1,John Robbins
-President of The Citadel,m,3,John Rosa
-Actor,m,1,John Rowe
-Fictional character,m,2,John Rowland
-Professional boxer,m,2,John Ruiz
-Trader,m,1,John Rusnak
-Former U.S. Congressman,m,1,John Salazar
-,m,1,John Scarlett
-,m,1,John Sidgmore
-Physician,m,17,John Snow
-American actor,m,2,John Spencer
-Football player,m,2,John Stallworth
-Basketball shooting guard,m,1,John Starks
-American basketball player,m,5,John Stockton
-Former Governor of New Hampshire,m,1,John Sununu
-British journalist,m,1,John Sweeney
-Commissioner of the ACC,m,3,John Swofford
-Musician,m,2,John Taylor
-United States Senator,m,1,John Thune
-American policeman,m,2,John Timoney
-American actor,m,7,John Travolta
-"Elementary school in Springdale, Arkansas",m,1,John Tyson
-Jockey,m,1,John Velazquez
-American television personality,m,2,John Walsh
-Former United States Senator,m,4,John Warner
-American actor,m,1,John Wayne
-Artist,m,1,John White
-American composer,m,1,John Williams
-American tennis player,m,2,John Wolf
-Cricketer,m,1,John Wright
-American coach,m,1,Johnnie Lynn
-American racing driver,m,1,Johnny Benson
-American television host,m,2,Johnny Carson
-American actor,m,2,Johnny Depp
-French singer,m,1,Johnny Hallyday
-,f,1,Johnny Htu
-American professional boxer,m,3,Johnny Tapia
-Football player,m,2,Johnny Unitas
-,m,2,Johnson Panjaitan
-,f,2,Jolanta Kwasniewski
-,m,1,Jon Constance
-Former United States Senator,m,3,Jon Corzine
-Football coach,m,7,Jon Gruden
-Football quarterback,m,1,Jon Kitna
-American comedian,m,1,Jon Stewart
-American actor,m,3,Jon Voight
-,m,1,Jonathan Arden
-American professional golfer,m,1,Jonathan Byrd
-American preacher,m,8,Jonathan Edwards
-Author,m,1,Jonathan Fine
-American gymnast,m,1,Jonathan Horton
-Director,m,1,Jonathan Karsh
-American film director,m,2,Jonathan Mostow
-Copywriter,m,1,Jonathan Schroeder
-Olympic athlete,m,1,Jonathan Tiomkin
-Soccer player,m,1,Jonathan Woodgate
-,m,2,Jong Thae Hwa
-Baseball player,m,4,Jong Wook Lee
-,m,1,Jorge Alberto Galindo
-Mexican professional boxer,m,2,Jorge Arce
-Former President of Uruguay,m,3,Jorge Batlle
-Mexican Politician,m,2,Jorge Castaneda
-,m,1,Jorge Enrique Jimenez
-,m,1,Jorge Marquez-Ruarte
-American-Cuban musician,m,1,Jorge Moreno
-,m,1,Jorge Quiroga
-,m,2,Jorge Rodolfo Canicoba Corral
-Soccer player,m,2,Jorge Valdano
-,m,1,Jorma Huhtala
-German Politician,m,19,Joschka Fischer
-Tennis player,m,1,Jose Acasuso
-Former Vice President of Brazil,m,1,Jose Alencar
-French farmer,m,1,Jose Bove
-Baseball outfielder,m,3,Jose Canseco
-,m,1,Jose Canseco Sr
-Bolivian goalkeeper,m,1,Jose Carlo Fernandez
-Tenor,m,1,Jose Carreras
-Soccer player,m,1,Jose Cevallos
-Brazilian Politician,m,2,Jose Dirceu
-Brazilian Politician,m,1,Jose Genoino
-Mexican singer,m,1,Jose Jose
-,m,1,Jose Lina
-,m,1,Jose Lopez Beltran
-Paraguayan soccer player,m,1,Jose Luis Chilavert
-Former Prime Minister of Spain,m,1,Jose Luis Rodriguez Zapatero
-Mexican lawyer,m,1,Jose Luis Santiago Vasconcelos
-Portuguese Politician,m,6,Jose Manuel Durao Barroso
-Former Prime Minister of Spain,m,23,Jose Maria Aznar
-Politician,m,1,Jose Miguel Aleman
-Portuguese football coach,m,2,Jose Mourinho
-Baseball player,m,1,Jose Rosado
-Jockey,m,1,Jose Santos
-Former President of Brazil,m,3,Jose Sarney
-Brazilian senator,m,9,Jose Serra
-Ice hockey goaltender,m,2,Jose Theodore
-Former Vice President of Venezuela,m,1,Jose Vicente Rangel
-Brazilian diplomat,m,2,Jose Viegas Filho
-Mexican political scientist,m,1,Jose Woldenberg
-Former Vice President of the United States,m,5,Joseph Biden
-,m,2,Joseph Blatter
-Economist,m,3,Joseph Deiss
-Former President of the Philippines,m,4,Joseph Estrada
-Film actor,m,1,Joseph Fiennes
-Religious leader,m,1,Joseph Galante
-"Mayor of Bridgeport, Connecticut",m,1,Joseph Ganim
-,m,1,Joseph Hoy
-President of the Democratic Republic of the Congo,m,1,Joseph Kabila
-Musical artist,m,1,Joseph LePore
-Football defensive back,m,1,Joseph Lopez
-,m,1,Joseph Nacchio
-Military commander,m,2,Joseph Ralston
-Chairman of Safra National Bank of New York,m,1,Joseph Safra
-,m,1,Joseph Salgado
-American basketball player,m,1,Josh Childress
-American filmmaker,m,1,Josh Evans
-Presenter,m,1,Josh Kronfeld
-,m,1,Joshua Davey
-American singer,m,1,Joshua Gracin
-,m,1,Joshua Harapko
-Medical examiner,m,1,Joshua Perper
-Physician,m,1,Joxel Garcia
-American actress,f,1,Joy Bryant
-American nurse,f,1,Joy Lee Sadler
-,m,1,Juan Antonio Samaranch
-Former King of Spain,m,1,Juan Carlos
-Spanish tennis player,m,28,Juan Carlos Ferrero
-Mexican soccer player,m,1,Juan Carlos Morales
-Film writer,m,1,Juan Carlos Ortega
-Island group in Chile,m,1,Juan Fernandez
-Mexican football coach,m,1,Juan Francisco Palencia
-Tennis player,m,3,Juan Ignacio Chela
-Spanish professor,m,1,Juan Jose Lucas
-Mexican professional boxer,m,3,Juan Manuel Marquez
-Colombian racing driver,m,8,Juan Pablo Montoya
-,m,1,Juan Roman Carrasco
-Argentine soccer player,m,1,Juan Roman Riquelme
-Soccer player,m,1,Juan Sanchez
-,m,2,Juan Valencia Osorio
-Colombian musician,m,3,Juanes
-,m,1,Judd Davies
-Actor,m,2,Jude Law
-Actress,f,2,Judi Dench
-,f,1,Judi Patton
-American registered nurse,f,1,Judith Nathan
-American singer,f,1,Judy Dean
-President of the University of South Florida,f,2,Judy Genshaft
-,f,1,Judy Locy
-American writer,f,1,Judy Spreckels
-,f,1,Judy Vassar
-German boxer,m,1,Juergen Braehmer
-,m,1,Juergen Chrobog
-,m,2,Juergen Peters
-German architect,m,1,Juergen Schrempp
-,m,1,Juergen Trittin
-American television personality,f,1,Jules Asner
-American novelist,f,1,Julia Glass
-Actress,f,1,Julia Ormond
-Former Prime Minister of Ukraine,f,3,Julia Tymoshenko
-Football player,m,1,Julian Battle
-Member of the Canadian House of Commons,m,1,Julian Fantino
-American actress,f,2,Julianna Margulies
-Actress,f,19,Julianne Moore
-Actress,f,1,Julie Andrews
-,f,15,Julie Gerberding
-American basketball coach,f,1,Julie Goodenough
-,f,1,Julie Infante
-American director,f,2,Julie Taymor
-Tennis player,m,1,Julien Boutter
-Tennis player,m,1,Julien Varlet
-French actress,f,1,Juliette Binoche
-American actress,f,1,Juliette Lewis
-Mexican professional boxer,m,1,Julio Cesar Chavez
-Former Vice President of Paraguay,m,1,Julio Cesar Franco
-Uruguayan economist,m,1,Julio De Brun
-Spanish singer,m,2,Julio Iglesias Jr
-Soccer striker,m,1,Julio Rossi
-Puerto Rican basketball coach,m,1,Julio Toro
-Politician,m,1,Julius Barnes
-American basketball player,m,1,Julius Erving
-,f,1,Juljia Vysotskij
-South Korean professional baseball player,m,1,Jung Bong
-Japanese soccer player,m,1,Junichi Inamoto
-Former Prime Minister of Japan,m,60,Junichiro Koizumi
-Japanese mountaineer,f,1,Junko Tabei
-American athlete,m,2,Justin Gatlin
-American singer,m,3,Justin Guarini
-American professional golfer,m,4,Justin Leonard
-,m,1,Justin Marshall
-American singer-songwriter,m,8,Justin Timberlake
-British racing driver,m,1,Justin Wilson
-Belgian tennis player,f,3,Justine Henin
-Panamanian model,f,7,Justine Pasek
-,m,1,Kai-Uwe Ricke
-Brazilian swimmer,m,1,Kaio Almeida
-,m,1,Kaisser Bazan
-Swedish olympic athlete,f,1,Kajsa Bergqvist
-,m,1,Kalid Kaid
-Astronaut,f,5,Kalpana Chawla
-Iranian Politician,m,6,Kamal Kharrazi
-Tunisian Politician,m,1,Kamel Morjane
-,f,1,Kang Gum-sil
-,m,1,Kaoru Hasuike
-American swimmer,f,1,Kara Lynn Joyce
-Indian actress,f,1,Kareena Kapoor
-American film actress,f,1,Karen Allen
-Fashion editor,f,1,Karen Clarkson
-American actress,f,1,Karen Lynn Gorney
-Actress,f,2,Karen Mok
-,f,1,Karen Pereiras
-American actress,f,1,Karen Sharpe Kramer
-,f,1,Karin Pilsaeter
-Edmund Stoiber's wife,f,2,Karin Stoiber
-French actress,f,1,Karin Viard
-Soccer player,m,1,Karl-Heinz Rummenigge
-Tennis player,m,1,Karol Kucera
-Swiss businessman,m,1,Kaspar Villiger
-,f,1,Katalin Kollat
-American-British-Swiss actress,f,1,Kate Burton
-American actress,f,2,Kate Capshaw
-American actress,f,9,Kate Hudson
-Singer,f,1,Kate Lee
-Model,f,1,Kate Moss
-Player,f,1,Kate Richardson
-Basketball player,f,1,Kate Starbird
-Actress,f,4,Kate Winslet
-,f,1,Katerina Smrzova
-American actress,f,1,Katharine Hepburn
-American Politician,f,4,Katherine Harris
-,f,1,Kathie Louise Saunders
-American lawyer,f,1,Kathleen Abernathy
-Film producer,f,2,Kathleen Glynn
-American attorney,f,4,Kathleen Kennedy Townsend
-American director,f,2,Kathryn Bigelow
-American actress,f,1,Kathryn Grayson
-American actress,f,1,Kathryn Morris
-Film producer,f,1,Kathryn Tucker
-American film actress,f,1,Kathy Baker
-American actress,f,1,Kathy Bates
-Journalist,f,1,Kathy Gannon
-,f,2,Kathy Winters
-,f,1,Katie Boone
-American journalist,f,1,Katie Couric
-American vocalist,f,3,Katie Harman
-American actress,f,1,Katie Holmes
-American basketball player,f,1,Katie Smith
-American television personality,f,1,Katie Wagner
-German actress,f,1,Katja Riemann
-Actress,f,1,Katrin Cartlidge
-,f,1,Katrin Susi
-Former United States Senator,f,1,Kay Bailey Hutchison
-,f,1,Kay Behrensmeyer
-Former football player,f,1,Kaye Young
-Actor,m,12,Keanu Reeves
-Leader of the Opposition,f,1,Keiko Sofia Fujimori
-Actress,f,2,Keira Knightley
-,m,1,Keith Bishop Jr
-American basketball player,m,3,Keith Bogans
-Scottish politician,m,1,Keith Brown
-,m,1,Keith Fotta
-Baseball athlete,m,1,Keith Foulke
-American conductor,m,1,Keith Lockhart
-,m,1,Keith Lowen
-Sports commentator,m,1,Keith Olbermann
-Professional baseball player,m,1,Keith Osik
-,m,1,Keith Rodriguez
-Film director,m,1,Keith Snyder
-Artist,m,1,Keith Tyson
-Singer-songwriter,m,1,Keith Urban
-American basketball player,m,1,Keith Van Horn
-Olympic athlete,m,1,Keizo Yamada
-,f,2,Kelli White
-American musical artist,f,1,Kellie Coffey
-Actor,f,1,Kellie Greene
-American singer-songwriter,f,3,Kelly Clarkson
-Actress,f,1,Kelly Leigh
-British singer-songwriter,f,1,Kelly Osbourne
-American actress,f,1,Kelly Ripa
-Brazilian basketball player,f,1,Kelly Santos
-American actor,m,1,Kelsey Grammer
-American basketball coach,m,3,Kelvin Sampson
-Turkish economist,m,3,Kemal Dervis
-,m,1,Ken Balk
-American coach,m,1,Ken Dorsey
-Designer,m,1,Ken Kutaragi
-Director,m,1,Ken Loach
-Baseball manager,m,3,Ken Macha
-Japanese actor,m,2,Ken Watanabe
-,m,1,Ken Wharfe
-Ethiopian olympic athlete,m,1,Kenenisa Bekele
-Officer,m,3,Kenneth Bowersox
-British actor,m,2,Kenneth Branagh
-,m,1,Kenneth Brill
-Danish tennis player,m,1,Kenneth Carlsen
-Film director,m,1,Kenneth Cooper
-International lawyer,m,1,Kenneth Dam
-Priest,m,2,Kenneth Evans
-,m,1,Kenneth Reichert
-Swedish race car driver,m,1,Kenny Brack
-American singer-songwriter,m,1,Kenny Chesney
-American actor,m,1,Kent McCord
-Actor,m,1,Kent Robinson
-American astronaut,m,2,Kent Rominger
-Basketball coach,m,1,Kevin Borseth
-American actor,m,8,Kevin Costner
-,m,1,Kevin Crane
-American basketball player,m,1,Kevin Garnett
-,m,1,Kevin Gil
-American race car driver,m,1,Kevin Harvick
-Canadian musician,m,1,Kevin Hearn
-American actor,m,1,Kevin James
-Former soccer player,m,1,Kevin Keegan
-Ice hockey defenceman,m,1,Kevin Marshall
-Professional baseball player,m,1,Kevin Millwood
-American actor,m,1,Kevin Nealon
-,m,1,Kevin Satterfield
-American actor,m,1,Kevin Sorbo
-American actor,m,5,Kevin Spacey
-American basketball coach,m,2,Kevin Stallings
-,m,1,Kevin Tarrant
-,m,1,Khader Rashid Rahim
-,m,1,Khaled Sawalhi
-Long-distance runner,m,1,Khalid Khannouchi
-Internist,m,1,Khalid Qazi
-,f,1,Khatol Mohammad Zai
-Burmese military officer,m,1,Khin Nyunt
-Political leader,m,1,Khum Bahadur Khadka
-American actor,m,1,Kieran Culkin
-British diplomat,m,2,Kieran Prendergast
-,m,2,Kifah Ajouri
-Basketball player,m,2,Kiki Vandeweghe
-Actress,f,1,Kim Cattrall
-,f,1,Kim Chinn
-Belgian tennis player,f,14,Kim Clijsters
-Former President of South Korea,m,8,Kim Dae-jung
-Actress,m,1,Kim Dong-hwa
-South Korean baseball player,m,1,Kim Dong-tae
-American counsel,f,1,Kim Gandy
-Kim Dae-jung's son,m,1,Kim Hong-gul
-Kim Dae-jung's son,m,1,Kim Hong-up
-,m,2,Kim Jin-sun
-Former Supreme Leader of North Korea,m,4,Kim Jong-Il
-South Korean actress,m,11,Kim Ryong-sung
-,m,1,Kim Su Nam
-Actress,f,1,Kim Weeks
-North Korean Politician,m,3,Kim Yong-il
-,m,1,Kim Yun-kyu
-,f,1,Kimberly Bruckner
-American socialite,f,1,Kimberly Stewart
-Finnish racing driver,m,3,Kimi Raikkonen
-American model,f,1,Kimora Lee
-King of Jordan,m,5,King Abdullah II
-Former King of Thailand,m,1,King Bhumibol Adulyadej
-King of Nepal,m,1,King Gyanendra
-American professional baseball player,m,1,Kirby Puckett
-,m,1,Kirk Doerger
-American actor,m,1,Kirk Douglas
-Football coach,m,2,Kirk Ferentz
-American gospel singer,m,1,Kirk Franklin
-Director of the National Museum of Natural History,m,3,Kirk Johnson
-,f,1,Kirsten Clark
-Actress,f,1,Kirsten Dunst
-,f,1,Kirsten Gilham
-Former United States Senator,m,1,Kit Bond
-Spanish navigator,m,1,Kitin Munoz
-Norwegian Politician,m,3,Kjell Magne Bondevik
-Executive Chairman of the World Economic Forum,m,1,Klaus Schwab
-,m,2,Klaus Zwickel
-American basketball player,m,3,Kobe Bryant
-Ghanaian diplomat,m,32,Kofi Annan
-Japanese diplomat,m,1,Koichi Haraguchi
-Japanese engineer,m,1,Koichi Tanaka
-Japanese diplomat,m,1,Koichiro Matsuura
-Baseball pitcher,m,1,Koji Uehara
-Chinese diplomat,m,1,Kong Quan
-Professional boxer,m,1,Kostya Tszyu
-Japanese Olympic swimmer,m,2,Kosuke Kitajima
-,m,1,Krishna Bhadur Mahara
-American actress,f,5,Kristanna Loken
-American lawyer,f,3,Kristen Breitweiser
-,f,1,Kristen Rivera
-American actress,f,1,Kristin Chenoweth
-American actress,f,3,Kristin Davis
-Actress,f,1,Kristin Scott
-Actress,f,1,Kristin Scott Thomas
-Coach,f,1,Kristy Curry
-Tiger Woods' mother,f,1,Kultida Woods
-American basketball coach,m,1,Kurt Budke
-American race car driver,m,2,Kurt Busch
-,m,1,Kurt Hellstrom
-American actor,m,2,Kurt Russell
-American coach,m,1,Kurt Schottenheimer
-Baseball catcher,m,1,Kurt Suzuki
-,m,1,Kurt Tanabe
-American basketball player,m,1,Kurt Thomas
-Football quarterback,m,5,Kurt Warner
-Former Mayor of Detroit,m,1,Kwame Kilpatrick
-American Politician,m,1,Kweisi Mfume
-Roh Moo-hyun's wife,f,3,Kwon Yang-sook
-,m,1,Kwon Young-gil
-Ice hockey player,m,1,Kyle McLaren
-Canadian gymnast,m,1,Kyle Shewfelt
-Party leader of the Party for Japanese Kokoro,f,1,Kyoko Nakayama
-American actress,f,1,Kyra Sedgwick
-Member of the Lok Sabha,m,3,LK Advani
-Co-Chairman of 21st Century Fox,m,1,Lachlan Murdoch
-American professional boxer,f,3,Laila Ali
-American actress,f,2,Lana Clarkson
-American professional road racing cyclist,m,18,Lance Armstrong
-American singer,m,5,Lance Bass
-Soccer player,m,1,Landon Donovan
-Retail company,f,1,Lane Bryant
-Vernon Odom's son,m,1,Lane Odom
-Television journalist,f,1,Lara Logan
-American film actor,m,1,Larenz Tate
-American actor,m,1,Larry Anderson
-,m,1,Larry Beinfest
-Baseball manager,m,2,Larry Bowa
-American basketball coach,m,7,Larry Brown
-American multi-instrumentalist,m,1,Larry Campbell
-Football coach,m,4,Larry Coker
-American professional boxer,m,1,Larry Donald
-American businessman,m,3,Larry Ellison
-American basketball coach,m,1,Larry Eustachy
-American publisher,m,1,Larry Flynt
-Musician,m,1,Larry Greene
-American film actor,m,1,Larry Hagman
-,m,1,Larry Hahn
-Basketball player,m,1,Larry Harris
-American basketball player,m,2,Larry Johnson
-American economist,m,2,Larry Lindsey
-,m,2,Larry Lucchino
-,m,1,Larry Nichols
-Ice hockey player,m,1,Larry Pleau
-Aron Ralston's father,m,1,Larry Ralston
-Canadian businessman,m,1,Larry Tanenbaum
-,m,1,Larry Templeton
-Film producer,m,4,Larry Thompson
-American comedian,m,1,Larry Wilmore
-German tennis player,m,1,Lars Burgsmuller
-Danish film director,m,3,Lars Von Trier
-Cinematographer,m,1,Laszlo Kovacs
-American basketball player,m,2,Latrell Sprewell
-Broadcaster,f,1,Laura Bozzo
-Former First Lady of the United States,f,41,Laura Bush
-American-Mexican actress,f,1,Laura Elena Harring
-Former Minister of Youth Affairs and Sports of France,f,1,Laura Flessel
-,f,1,Laura Gobai
-Journalist,f,2,Laura Hernandez
-American actress,f,4,Laura Linney
-,f,1,Laura Marlow
-Italian film actress,f,1,Laura Morante
-Italian singer-songwriter,f,1,Laura Pausini
-Spanish politician,f,1,Laura Romero
-American radio host,f,1,Laura Schlessinger
-American film producer,f,1,Laura Ziskin
-American medical doctor,f,1,Laurel Clark
-American model,f,2,Lauren Hutton
-Matt Cassel's wife,f,2,Lauren Killian
-American actor,m,1,Laurence Fishburne
-American lawyer,m,1,Laurence Tribe
-Former President of the Ivory Coast,m,2,Laurent Gbagbo
-French professional road racing cyclist,m,2,Laurent Jalabert
-,m,1,Laurent Woulzy
-Politician,m,1,Laurie Chan
-,f,1,Laurie Hobbs
-,f,1,Laurie Laychak
-,f,1,Laurie Pirtle
-Spokesman,m,1,Lawrence Di Rita
-,m,1,Lawrence Foley
-Minister of Agriculture,m,2,Lawrence MacAulay
-American scientist,m,1,Lawrence Roberts
-,m,1,Lawrence Vito
-,m,1,Lazaro Castro
-American singer,f,2,LeAnn Rimes
-American basketball player,m,5,LeBron James
-Justice,m,1,LeRoy Millette Jr
-Executive,f,2,Lea Fastow
-American actress,f,1,Leah Remini
-Indian tennis player,m,2,Leander Paes
-Brazilian basketball player,m,1,Leandrinho Barbosa
-Uruguayan soccer player,m,1,Leandro Andrade
-Italian-Uruguayan basketball player,m,1,Leandro Garcia
-Former President of Poland,m,2,Lech Walesa
-,f,1,Lee Ann Knight
-,f,1,Lee Ann Terlaji
-American singer-songwriter,f,1,Lee Ann Womack
-Sheriff,m,1,Lee Baca
-,m,1,Lee Byung-woong
-South Korean film director,m,1,Lee Chang-dong
-South Korean Politician,m,4,Lee Hoi-chang
-South Korean singer,m,1,Lee Hong-ki
-Tennis player,m,1,Lee Hyung-taik
-South Korean singer,m,2,Lee Jun
-,m,1,Lee Nam-shin
-South Korean Politician,m,3,Lee Soo-hyuck
-South Korean diplomat,m,2,Lee Tae-sik
-,m,1,Lee Yeo-jin
-Chemist,m,1,Lee Yuan-tseh
-,m,1,Leigh Winchell
-Australian swimmer,f,1,Leisel Jones
-American actress,f,1,Lela Rochon
-American bail bondsman,m,2,Leland Chapman
-,m,1,Lemuel Montulo
-,m,2,Len Jenoff
-Russian singer,f,1,Lena Katina
-Swedish actress,f,1,Lena Olin
-Danish Politician,f,1,Lene Espersen
-Swedish Politician,f,1,Leni Bjorklund
-,m,1,Lennart Johansson
-Professional boxer,m,3,Lennox Lewis
-American singer-songwriter,m,1,Lenny Kravitz
-American basketball player,m,3,Lenny Wilkens
-Philanthropist,m,1,Leo Mullin
-Spanish soccer player,m,1,Leo Ramirez
-Basketball coach,m,1,Leon Barmore
-,m,2,Leon LaPorte
-Actor,m,1,Leon Lai
-American geologist,m,1,Leon Silver
-Author,m,1,Leonard Glick
-American basketball coach,m,2,Leonard Hamilton
-,m,1,Leonard Schrank
-Italian businessman,m,1,Leonardo Del Vecchio
-American actor,m,9,Leonardo DiCaprio
-Argentine-Bolivian goalkeeper,m,1,Leonardo Fernandez
-Former President of Ukraine,m,6,Leonid Kuchma
-,f,1,Lesia Burlak
-,f,1,Lesley Coppin
-,f,1,Lesley Flood
-,f,3,Lesley McCulloch
-Robert Evans' ex-wife,f,2,Leslie Ann Woodward
-Lawyer,f,3,Leslie Caldwell
-American executive,m,2,Leslie Moonves
-,m,1,Leslie Wiser Jr
-American journalist,m,1,Lester Holt
-Former Prime Minister of Poland,m,3,Leszek Miller
-Spanish actress,f,1,Leticia Dolera
-American Politician,f,1,Leticia Van de Putte
-Olympic athlete,m,1,Leuris Pupo
-Film producer,m,1,Lew Rywin
-Executive,m,1,Lewis Booth
-Chinese Politician,m,1,Li Changchun
-Business magnate,m,1,Li Ka-shing
-Former Premier of the People's Republic of China,m,9,Li Peng
-Chinese Politician,m,1,Li Ruihuan
-Chinese diplomat,m,8,Li Zhaoxing
-Actor,m,3,Liam Neeson
-,f,1,Liane Janda
-,f,1,Lidija Djukanovic
-,f,1,Lili Marinho
-American actress,f,2,Lili Taylor
-Italian film director,f,1,Liliana Cavani
-Philanthropist,f,1,Lily Safra
-American actress,f,2,Lily Tomlin
-South Korean Politician,m,2,Lim Dong-won
-Afghan athlete,f,1,Lima Azimi
-Taiwanese Politician,m,1,Lin Yi-fu
-,m,1,Lin Yung Hsi
-Tennis player,f,2,Lina Krasnoroutskaya
-Former United States Senator,m,1,Lincoln Chafee
-,f,1,Linda Amicangioli
-Trinidadian physician,f,1,Linda Baboolal
-American actress,f,1,Linda Dano
-,f,1,Linda Franklin
-,f,1,Linda Ham
-Former Governor of Hawaii,f,1,Linda Lingle
-Makeup artist,f,1,Linda Mason
-U.S. Representative,f,1,Linda Sanchez
-American swimmer,f,2,Lindsay Benko
-American tennis player,f,22,Lindsay Davenport
-American actress,f,1,Lindsay Lohan
-United States Senator,m,2,Lindsey Graham
-Canadian coach,m,1,Lindy Ruff
-,m,1,Linn Thornton
-Political leader,m,3,Lino Oviedo
-Actor,m,1,Linus Roache
-American basketball player,m,1,Lionel Chalmers
-American bandleader,m,1,Lionel Hampton
-American singer-songwriter,m,2,Lionel Richie
-Trooper,f,1,Lisa Girman
-Businesswoman,f,2,Lisa Gottsegen
-American basketball player,f,1,Lisa Leslie
-American journalist,f,2,Lisa Ling
-American singer-songwriter,f,4,Lisa Marie Presley
-United States Senator,f,1,Lisa Murkowski
-American tennis player,f,2,Lisa Raymond
-Singer-songwriter,f,1,Lisa Stansfield
-American basketball coach,f,1,Lisa Stone
-,m,2,Liu Mingkang
-Chinese actress,f,1,Liu Xiaoqing
-Chinese actor,m,1,Liu Ye
-American actress,f,1,Liv Tyler
-American actress,f,7,Liza Minnelli
-Australian tennis player,m,41,Lleyton Hewitt
-,m,1,Lloyd Mudiwa
-,m,1,Lloyd Novick
-American-Canadian theatre director,m,1,Lloyd Richards
-Politician,m,2,Lloyd Ward
-Elizabeth Smart's mother,f,1,Lois Smart
-Political figure,m,1,Lokendra Bahadur Chand
-American basketball coach,m,2,Lon Kruger
-Singer,m,1,Lonnie Donegan
-,m,1,Lope Mendoza
-Member of the Parliament of Great Britain,m,2,Lord Hutton
-,f,1,Loretta Lynn Harper
-,f,1,Lori Berenson
-American-Canadian television producer,m,1,Lorne Michaels
-American actress,f,1,Lorraine Bracco
-Jamaican athlete,f,1,Lorraine Fenton
-Former Deputy Majority Leader of Illinois House of Representatives,m,1,Lou Lang
-Professional baseball player,m,3,Lou Piniella
-American musician,m,1,Lou Reed
-Chinese screenwriter,m,1,Lou Ye
-Dutch soccer manager,m,1,Louis Van Gaal
-Singer,f,1,Louisa Baileche
-Czech Politician,m,1,Lubomir Zaoralek
-French researcher,m,1,Luc Montagnier
-Italian businessman,m,1,Luca Cordero di Montezemolo
-,m,1,Lucas Wysocki
-Country in the Caribbean,m,1,Lucia Kenny Anthony
-Anna Maria Bernini's ex-husband,m,1,Luciano Bovicelli
-Italian operatic tenor,m,3,Luciano Pavarotti
-,f,1,Lucie Lapovsky
-Spanish basketball player,m,1,Lucio Angulo
-Motorcycle racer,m,1,Lucio Cecchinello
-,m,13,Lucio Gutierrez
-Italian Politician,m,1,Lucio Stanca
-José Clemente Orozco's daughter,f,1,Lucrecia Orozco
-American actress,f,5,Lucy Liu
-French actress,f,5,Ludivine Sagnier
-,m,1,Ludwig Ovalle
-CEO of Mabe,m,1,Luis Berrondo
-Rector of Universidad de las Américas Puebla,m,6,Luis Ernesto Derbez Bautista
-Portuguese soccer player,m,4,Luis Figo
-Singer-songwriter,m,1,Luis Fonsi
-American baseball player,m,1,Luis Gonzalez
-Political figure,m,5,Luis Gonzalez Macchi
-Actor,m,1,Luis Guzman
-Tennis player,m,6,Luis Horna
-Baseball manager,m,1,Luis Pujols
-,m,1,Luis Rosario Huertas
-Senator of the Mexican Republic,m,1,Luis Sanchez
-Football manager,m,2,Luiz Felipe Scolari
-Former President of Brazil,m,48,Luiz Inacio Lula da Silva
-American basketball player,m,1,Luke Ridnour
-American writer,m,1,Luke Smith
-American basketball coach,m,2,Luke Walton
-Ambassador,m,1,Luo Linquan
-,m,1,Luther Htu
-,m,1,Lutz Freitag
-Comedian,f,1,Lydia Shum
-American singer-songwriter,m,1,Lyle Lovett
-Member of Parliament,m,2,Lyle Vanclief
-American actress,f,2,Lynn Abraham
-Actress,f,3,Lynn Redgrave
-American author,f,3,Lynne Cheney
-,f,1,Lynne Slepian
-American actress,f,1,Lynne Thigpen
-Vladimir Putin's ex-wife,f,1,Lyudmila Putin
-American hip-hop artist,m,1,MC Hammer
-Football coach,m,2,Mack Brown
-Former United States Secretary of State,f,3,Madeleine Albright
-,f,1,Madeleine Webber
-,f,1,Madge Overhouse
-American singer-songwriter,f,5,Madonna
-American engineer,f,1,Mae Jemison
-,f,1,Magda Kertasz
-Bulgarian tennis player,f,3,Magdalena Maleeva
-Actress,f,1,Maggie Cheung
-Actress,f,2,Maggie Smith
-Tennis player,f,2,Magui Serna
-,f,1,Maha Habib
-Prime Minister of Malaysia,m,14,Mahathir Mohamad
-,m,1,Mahdi Al Bassam
-Former Prime Minister of Fiji,m,1,Mahendra Chaudhry
-,f,1,Mahima Chaudhari
-,m,29,Mahmoud Abbas
-,m,1,Mahmoud Al Zhar
-,m,1,Mahmoud Diyab al-Ahmed
-Pakistani poet,m,3,Makhdoom Amin Fahim
-"Former Minister of Education, Culture, Sports, Science and Technology",f,1,Makiko Tanaka
-,f,1,Makiya Ali Hassan
-,f,1,Malak Habbak
-American businessman,m,1,Malcolm Glazer
-American actor,m,1,Malcolm Jamal Warner
-Australian soccer player,m,1,Malcolm Wild
-,m,1,Malik Mahmud
-,m,1,Mamdouh Habib
-Bolivian Politician,m,1,Manfred Reyes Villa
-,m,2,Manfred Stolpe
-Iranian film director,f,1,Manijeh Hekmat
-,m,1,Manuel Gehring
-Spanish soccer player,m,1,Manuel Jesus
-Spanish businessperson,m,1,Manuel Llorente
-Chilean football manager,m,1,Manuel Pellegrini
-Motorcycle road racer,m,2,Manuel Poggiali
-,m,1,Manuel Rosendo
-Olympic athlete,m,1,Manuela Montebrun
-,f,1,Mara Georges
-Politician,m,3,Marat Safin
-Ice hockey goaltender,m,2,Marc-Andre Fleury
-Singer,m,1,Marc Anthony
-Football quarterback,m,1,Marc Bulger
-Expert,m,1,Marc Gold
-American diplomat,m,4,Marc Grossman
-Canadian economist,m,1,Marc Leger
-Former Governor of Montana,m,1,Marc Racicot
-American composer,m,1,Marc Shaiman
-,f,1,Marcella Anderson
-Argentine football manager,m,1,Marcelo Bielsa
-Head of Government of the Federal District,m,3,Marcelo Ebrard
-Tennis player,m,5,Marcelo Rios
-Chilean soccer player,m,3,Marcelo Salas
-Brazilian soccer player,m,1,Marcio de Souza
-Mexican professional boxer,m,6,Marco Antonio Barrera
-,m,1,Marco Archer Cardoso Moreira
-,m,1,Marco Irizarry
-Italian cyclist,m,1,Marco Pantani
-Brazilian soccer player,m,1,Marcos Cafu
-,m,1,Marcos Daniel Jimenez
-Argentine volleyball player,m,1,Marcos Milinkovic
-Football running back,m,1,Marcus Allen
-,m,1,Marcus Garrettson
-Race car driver,m,2,Marcus Gronholm
-,f,1,Margaret Caruso
-,f,1,Margaret Hasley
-American swimmer,f,1,Margaret Hoelzer
-,f,1,Margaret Okayo
-Former British Prime Minister,f,2,Margaret Thatcher
-,f,1,Margerry Bakley
-,f,1,Margie Puente
-American actress,f,1,Maria Bello
-,f,1,Maria Burks
-American-Greek soprano,f,1,Maria Callas
-Singer,f,1,Maria Conchita Alonso
-Spanish player,f,1,Maria Garcia
-,f,1,Maria Guida
-Brazilian actress,f,2,Maria Luisa Mendonca
-Tennis player,f,1,Maria Sanchez Lorenzo
-Researcher,f,1,Maria Shkolnikova
-American journalist,f,8,Maria Shriver
-German actress,f,1,Maria Simon
-Chilean lawyer,f,5,Maria Soledad Alvear Valenzuela
-Swedish Politician,f,1,Maria Wetterstrand
-American singer-songwriter,f,7,Mariah Carey
-,f,1,Mariam Ali Hassan
-,f,1,Marian Dolan
-Olympic athlete,f,1,Mariana Gonzalez
-Athlete,f,1,Mariana Ohata
-,f,3,Mariana Pollack
-Venezuelan actress,f,3,Mariangel Ruiz Torrealba
-American basketball coach,f,1,Marianne Stanley
-Tennis player,m,1,Mariano Zabaleta
-Mexican soccer player,f,1,Maribel Dominguez
-Canadian-French actress,f,1,Marie-Josee Croze
-French figure skater,f,2,Marie-Reine Le Gougne
-,f,1,Marie Haghal
-,f,3,Marieta Chrousala
-American actress,f,2,Marilyn Monroe
-French-Russian ice dancer,f,2,Marina Anissina
-Water polo player,f,1,Marina Canetti
-French film actress,f,1,Marina Hands
-,f,1,Marina Kuptsova
-Former Brazilian senator,f,1,Marina Silva
-,f,1,Mario Alfaro-Lopez
-American basketball player,m,1,Mario Austin
-Italian cyclist,m,2,Mario Cipollini
-Mexican racing driver,m,1,Mario Dominguez
-Television personality,m,2,Mario Dumont
-Politician,m,1,Mario Gallegos
-Brazilian soccer player,m,1,Mario Jardel
-Chilean television host,m,2,Mario Kreutzberger
-Ice hockey player,m,1,Mario Lemieux
-Brazilian former soccer player,m,1,Mario Lobo Zagallo
-Author,m,1,Mario Puzo
-,m,1,Mario Vasquez Rana
-Former Mayor of the District of Columbia,m,1,Marion Barry
-,f,1,Marion Fahnestock
-Actress,f,2,Marisa Tomei
-,f,1,Marisol Breton
-,f,1,Marisol Martinez Sambran
-American actress,f,2,Marissa Jaret Winokur
-,f,1,Maritza Macias Furano
-Administrator of the United States Agency for International Development,m,1,Mark Andrew
-Professional baseball player,m,1,Mark Bellhorn
-,m,1,Mark Broxmeyer
-Cricketer,m,1,Mark Butcher
-American businessman,m,2,Mark Cuban
-Canadian curler,m,2,Mark Dacey
-American Politician,m,1,Mark Everson
-Member of the United States House of Representatives,m,1,Mark Foley
-American swimmer,m,1,Mark Gangloff
-American criminal defense lawyer,m,2,Mark Geragos
-American basketball coach,m,3,Mark Gottfried
-Businessman,m,2,Mark Hamister
-Bishop,m,1,Mark Hanson
-Film director,m,2,Mark Heller
-,m,1,Mark Hogan
-,m,5,Mark Hurlbert
-American astronaut,m,1,Mark Kelly
-,m,1,Mark Komara
-Soccer player,m,1,Mark Lazarus
-California State Assembly member,m,1,Mark Leno
-Football player,m,1,Mark Mariscal
-American race car driver,m,1,Mark Martin
-,m,1,Mark McClellan
-,m,1,Mark Mishkin
-American professional baseball player,m,1,Mark Mulder
-Australian tennis player,m,11,Mark Philippoussis
-,m,1,Mark Podlesny
-American pilot,m,1,Mark Polansky
-Baseball player,m,1,Mark Redman
-Football coach,m,3,Mark Richt
-Michael Rosenbaum's father,m,1,Mark Rosenbaum
-Cricket player,m,1,Mark Sacco
-American speechwriter,m,1,Mark Salter
-Former Governor of Pennsylvania,m,2,Mark Schweiker
-President of the Toronto Blue Jays,m,1,Mark Shapiro
-Bishop,m,1,Mark Sisk
-Ice hockey defenseman,m,1,Mark Stuart
-Company,m,1,Mark Swartz
-American actor,m,4,Mark Wahlberg
-United States Senator,m,2,Mark Warner
-German professional boxer,m,1,Markus Beyer
-Swedish ice hockey player,m,2,Markus Naslund
-Tennis player,f,2,Marlene Weingartner
-Olympic athlete,m,1,Marlon Devonish
-,m,1,Marquier Montano Contreras
-American basketball player,m,1,Marquis Estill
-,f,1,Marricia Tate
-,f,1,Marsah Ambrosius
-Coach,f,1,Marsha Sharp
-Television actress,f,1,Marsha Thomason
-,f,1,Marta Dominguz
-Economist,f,2,Martha Beatriz Roque
-American swimmer,f,2,Martha Bowen
-,f,4,Martha Burk
-Vice President of Colombia,f,4,Martha Lucia Ramirez
-,f,1,Martha Martinez Flores
-Vicente Fox's wife,f,1,Martha Sahagun de Fox
-American actress,f,1,Martha Smith
-American executive,f,5,Martha Stewart
-American musician,f,1,Martie Maguire
-American music executive,m,1,Martin Bandier
-,m,1,Martin Boryczewski
-American-Canadian ice hockey player,m,2,Martin Brodeur
-,m,1,Martin Brooke
-,m,1,Martin Burnham
-Canadian lawyer,m,2,Martin Cauchon
-Swedish clarinetist,m,1,Martin Frost
-,m,1,Martin Gecht
-,m,2,Martin Hoellwarth
-Politician,m,1,Martin Howard
-Soccer player,m,1,Martin Keown
-,m,1,Martin Kristof
-American actor,m,1,Martin Landau
-American comedian,m,1,Martin Lawrence
-American advocate,m,1,Martin Luther King III
-Historian,m,2,Martin McCauley
-Former Deputy First Minister of Northern Ireland,m,5,Martin McGuinness
-Football manager,m,1,Martin ONeill
-Chilean soccer player,m,1,Martin Rodriguez
-American-Italian filmmaker,m,7,Martin Scorsese
-Actor,m,2,Martin Sheen
-Comedian,m,1,Martin Short
-Politician,m,1,Martin Torrijos
-Dutch tennis player,m,3,Martin Verkerk
-Tennis player,f,3,Martina Hingis
-American singer-songwriter,f,5,Martina McBride
-Football coach,m,3,Marty Mornhinweg
-Sri Lankan cricketer,m,1,Marvan Atapattu
-Palestinian Political figure,m,2,Marwan Barghouthi
-Jordanian diplomat,m,1,Marwan Muasher
-American fashion designer,f,3,Mary-Kate Olsen
-,f,1,Mary Anne Souza
-American singer-songwriter,f,1,Mary Blige
-Former U.S. Representative,f,1,Mary Bono
-American adult film actress,f,4,Mary Carey
-,f,1,Mary Catherine Correll
-American swimmer,f,1,Mary Descenza
-American actress,f,1,Mary Elizabeth Mastrantonio
-,f,1,Mary Frances Seiter
-,f,1,Mary Hill
-,f,1,Mary Jo Myers
-Elizabeth Smart's sister,f,1,Mary Katherine Smart
-Former American senator,f,3,Mary Landrieu
-,f,1,Mary Lou Markakis
-American gymnast,f,1,Mary Lou Retton
-Musical artist,f,1,Mary Maddux
-American political consultant,f,1,Mary Matalin
-Actress,f,1,Mary McCarty
-Former President of Ireland,f,1,Mary Robinson
-American actress,f,3,Mary Steenburgen
-American university professor,f,1,Mary Sue Coleman
-American actress,f,2,Mary Tyler Moore
-American athlete,f,1,Mary Zorn
-Author,f,1,Maryn McKenna
-Japanese film director,m,2,Masahiko Nagasawa
-Professional boxer,m,1,Masamori Tokuyama
-Japanese motorcycle road racer,m,1,Masao Azuma
-Japanese businessman,m,1,Masaru Hayami
-Japanese physicist,m,1,Masatoshi Koshiba
-,f,1,Masja Juel
-Former President of Iraqi Kurdistan,m,1,Massoud Barzani
-Turkish Politician,m,3,Masum Turker
-Austrian politician,m,3,Mathias Reichhold
-,f,1,Mathilda Karel Spak
-American volleyball player,m,1,Matt Anderson
-,m,1,Matt Braker
-American actor,m,4,Matt Damon
-American actor,m,3,Matt Dillon
-Irish soccer player,m,3,Matt Doherty
-,m,1,Matt Herden
-American actor,m,1,Matt LeBlanc
-Baseball player,m,1,Matt Morris
-Baseball athlete,m,1,Matt Roney
-,m,1,Matt Siebrandt
-Former football player,m,1,Matt Walters
-Australian swimmer,m,1,Matt Welsh
-American actor,m,4,Matthew Broderick
-,m,1,Matthew During
-American actor,m,1,Matthew McConaughey
-,m,1,Matthew Ouimet
-American-Canadian actor,m,7,Matthew Perry
-Film producer,m,1,Matthew Vaughan
-Soccer player,m,1,Matthias Sammer
-American film actress,f,1,Maura Tierney
-,f,2,Maureen Fanning
-,f,1,Maureen Kanka
-American basketball player,m,1,Maurice Cheeks
-French Politician,m,1,Maurice Papon
-Canadian businessman,m,1,Maurice Strong
-President of Argentina,m,1,Mauricio Macri
-,m,1,Mauricio Pochetino
-,m,1,Mauro Viza
-Former United States Senator,m,1,Max Baucus
-Motorcycle road racer,m,1,Max Biaggi
-American meteorologist,m,2,Max Mayfield
-Barrister,m,1,Max Mosley
-Actor,m,1,Max von Sydow
-Russian ice hockey player,m,1,Maxim Afinogenov
-Japanese Politician,f,1,Mayumi Moriyama
-,m,1,McGuire Gibson
-American professional golfer,f,1,Meg Mallon
-,f,1,Meg Wakeman
-American actress,f,3,Megan Mullally
-Former President of Indonesia,f,33,Megawati Sukarnoputri
-American tennis player,f,2,Meghann Shaughnessy
-French olympic athlete,m,1,Mehdi Baala
-Turkish Politician,m,1,Mehmet Ali Sahin
-Turkish basketball player,m,1,Mehmet Okur
-Miner,m,1,Meirion Evans
-American actor,m,1,Mekhi Phifer
-American filmmaker,m,2,Mel Brooks
-Actor,m,2,Mel Gibson
-American executive,m,1,Mel Karmazin
-American television host,f,1,Melana Scantlin
-American film actress,f,3,Melanie Griffith
-Professional boxer,m,1,Melchor Cob Castro
-Former Prime Minister of Ethiopia,m,1,Meles Zenawi
-American actress,f,1,Melina Kanakaredes
-Tennis player,f,1,Melinda Czink
-American singer-songwriter,f,2,Melissa Etheridge
-American actress,f,1,Melissa Gilbert
-American actress,f,1,Melissa Joan Hart
-American singer-songwriter,f,1,Melissa Manchester
-,f,1,Melissa Mulloy
-American television personality,f,1,Melissa Stark
-,m,1,Melvin Talbert
-,f,1,Mercedes Amor
-American actress,f,15,Meryl Streep
-Turkish Politician,m,2,Mesut Yilmaz
-Prime Minister of Barbados,f,1,Mia Mottley
-,m,4,Mian Khursheed Mehmood Kasuri
-Football player,m,1,Micah Knorr
-American basketball player,m,1,Michael Adams
-American racing driver,m,1,Michael Andretti
-,m,1,Michael Arif
-Soccer player,m,3,Michael Ballack
-,m,20,Michael Bloomberg
-American singer-songwriter,m,1,Michael Bolton
-Sheriff,m,1,Michael Bouchard
-Member of Parliament of the United Kingdom,m,1,Michael Boyce
-American actor,m,1,Michael Brandon
-Author,m,1,Michael Broad
-Actor,m,4,Michael Caine
-Executive,m,2,Michael Capellas
-American tennis player,m,8,Michael Chang
-Former United States Secretary of Homeland Security,m,1,Michael Chertoff
-American actor,m,5,Michael Chiklis
-American actor,m,1,Michael Clarke Duncan
-,m,1,Michael DeMinico
-CEO of Dell Technologies,m,1,Michael Dell
-,m,1,Michael Denzel
-,m,1,Michael Deutsch
-,m,1,Michael Diekmann
-American basketball player,m,1,Michael Doleac
-Canadian voice actor,m,1,Michael Donovan
-Actor,m,6,Michael Douglas
-Japanese-New Zealand soccer player,m,1,Michael Fitzgerald
-Playwright,m,1,Michael Frayn
-American composer,m,1,Michael Friedman
-,m,1,Michael Goldrich
-,m,1,Michael Guiler
-,m,1,Michael Hagee
-Film director,m,1,Michael Haneke
-,m,1,Michael Hoffa
-American-Canadian actor,m,1,Michael J Fox
-American bishop,m,2,Michael J Sheehan
-American singer-songwriter,m,12,Michael Jackson
-Film producer,m,1,Michael Jasny
-American basketball player,m,4,Michael Jordan
-American film editor,m,1,Michael Kahn
-American actor,m,2,Michael Keaton
-Author,m,1,Michael Killeen
-Puisne Justice of the High Court of Australia,m,1,Michael Kirby
-American fashion designer,m,1,Michael Kors
-Football player,m,2,Michael Kostelnik
-Visual artist,m,2,Michael Leavitt
-Economist,m,1,Michael Lechner
-,m,1,Michael Linscott
-American-Spanish astronaut,m,1,Michael Lopez-Alegria
-Film director,m,1,Michael McNeely
-American actress,f,1,Michael Michele
-Australian cyclist,m,1,Michael Milton
-Filmmaker,m,3,Michael Moore
-Football player,m,1,Michael Munoz
-Basketball player,m,1,Michael Olowokandi
-American director,m,2,Michael Patrick King
-Accountant,m,1,Michael Peat
-Priest,m,1,Michael Pfleger
-American swimmer,m,5,Michael Phelps
-,m,1,Michael Piuze
-Film director,m,5,Michael Powell
-American actor,m,1,Michael Richards
-,m,1,Michael Rolinee
-German racing driver,m,18,Michael Schumacher
-,m,1,Michael Shane Jolly
-American bishop,m,1,Michael Sheehan
-Lawyer,m,1,Michael Shelby
-,m,1,Michael Smith Foster
-Voice actor,m,1,Michael Stark
-Brazilian singer,m,2,Michael Sullivan
-Baseball center fielder,m,1,Michael Taylor
-American rapper,m,1,Michael Wayne
-American journalist,m,1,Michael Weiss
-Filmmaker,m,3,Michael Winterbottom
-,m,1,Michalis Chrisohoides
-,m,1,Micheal Jourdain Jr
-,m,1,Michel Charles Chretien
-French diplomat,m,2,Michel Duclos
-Tennis player,m,1,Michel Kratochvil
-French book editor,m,1,Michel Minard
-President of Brazil,m,2,Michel Temer
-Canadian ice hockey coach,m,2,Michel Therrien
-Italian film director,m,1,Michelangelo Antonioni
-Italian actor,m,1,Michele Placido
-Former President of Chile,f,1,Michelle Bachelet
-American singer-songwriter,f,2,Michelle Branch
-,f,1,Michelle Chiklis
-Actress,f,2,Michelle Collins
-,f,1,Michelle Hofland
-American figure skater,f,8,Michelle Kwan
-,f,1,Michelle Lecky
-American actress,f,3,Michelle Pfeiffer
-Actress,f,2,Michelle Rodriguez
-Malaysian actress,f,5,Michelle Yeoh
-Singer,m,5,Mick Jagger
-Football manager,m,1,Mick McCarthy
-American singer,m,1,Mickey Gilley
-,m,1,Mickey Loomis
-American actor,m,1,Mickey Rooney
-American attorney,m,1,Mickey Sherman
-American-Israeli businessman,m,1,Micky Arison
-American-Irish professional boxer,m,1,Micky Ward
-,m,1,Miguel Aldana Ibarra
-,m,1,Miguel Angel Rodriguez
-,m,2,Miguel Contreras
-Puerto Rican professional boxer,m,1,Miguel Cotto
-Attorney,m,2,Miguel Estrada
-,m,1,Miguel Hakim
-Spanish soccer player,m,1,Miguel Jimenez
-,m,1,Miguel Juarez Perez
-,m,1,Miguel Rosseto
-Finnish racing driver,m,1,Mika Hakkinen
-American coach,m,1,Mike Alden
-Canadian ice hockey coach,m,2,Mike Babcock
-Actor,m,1,Mike Bair
-American basketball coach,m,2,Mike Brey
-American tennis player,m,1,Mike Bryan
-Sheriff,m,1,Mike Carona
-American professional golfer,m,1,Mike Cunning
-American writer,m,1,Mike Davis
-American businessman,m,1,Mike Duke
-Former Governor of North Carolina,m,1,Mike Easley
-American businessman,m,1,Mike Eskew
-,m,1,Mike Farrar
-Ice hockey centre,m,1,Mike Fisher
-American filmmaker,m,1,Mike Flanagan
-Fictional character,m,1,Mike Gable
-,m,2,Mike Helton
-Football coach,m,2,Mike Holmgren
-Former United States Senator,m,1,Mike Johanns
-Basketball coach,m,6,Mike Krzyzewski
-Football coach,m,1,Mike Leach
-Baseball player,m,1,Mike Maroth
-Coach,m,7,Mike Martz
-American baseball manager,m,1,Mike Matheny
-Fictional character,m,1,Mike Matthews
-American basketball player,m,2,Mike Miller
-Baseball pitcher,m,2,Mike Montgomery
-Actor,m,7,Mike Myers
-Ice hockey player,m,1,Mike OConnell
-Coach,m,2,Mike Price
-Ice hockey goaltender,m,1,Mike Richter
-,m,1,Mike Samp
-American baseball manager,m,2,Mike Scioscia
-Football coach,m,1,Mike Sherman
-American attorney,m,1,Mike Slive
-Canadian actor,m,1,Mike Smith
-American race car driver,m,1,Mike Stefanik
-Baseball athlete,m,1,Mike Sweeney
-,m,1,Mike Szymanczyk
-American basketball coach,m,1,Mike Thibault
-Coach,m,1,Mike Tice
-American professional boxer,m,4,Mike Tyson
-Football player,m,1,Mike Webster
-Canadian professional golfer,m,11,Mike Weir
-Former General Secretary of the Communist Party of the Soviet Union,m,2,Mikhail Gorbachev
-Russian inventor,m,1,Mikhail Kalashnikov
-President of the People's Freedom Party,m,4,Mikhail Kasyanov
-Russian businessman,m,1,Mikhail Khodorkovsky
-Russian theater critic,m,1,Mikhail Shvydkoi
-Diplomat,m,4,Mikhail Wehbe
-Russian tennis player,m,3,Mikhail Youzhny
-Slovak Politician,m,2,Mikulas Dzurinda
-Former President of Slovenia,m,1,Milan Kucan
-Serbian Politician,m,1,Milan Milutinovic
-,m,1,Mile Mrksic
-Athlete,m,1,Miles Stewart
-English actress,f,1,Millicent Martin
-President of Montenegro,m,3,Milo Djukanovic
-,m,3,Milo Maestrecampo
-Official,m,1,Milt Heflin
-American-Belizean basketball player,m,1,Milt Palacio
-American comedian,m,1,Milton Berle
-Cyclist,m,1,Milton Wynants
-Actress,f,2,Minnie Driver
-Baseball player,m,1,Minnie Mendoza
-American actress,f,1,Mira Sorvino
-,f,1,Miranda Gaddis
-Australian actress,f,1,Miranda Otto
-,f,1,Mireille Jospin-Dandieu
-Athlete,f,1,Mirela Manjani
-Political figure,f,1,Mireya Elisa Moscoso Rodriguez
-Political figure,f,5,Mireya Moscoso
-,m,2,Miroljub
-Singer,f,1,Missy Crider
-,f,1,Misty Dawn Clymer
-,m,1,Mitar Rasevic
-General Manager of the Charlotte Hornets,m,1,Mitch Kupchak
-,m,1,Mitchell Crooks
-Former Governor of Indiana,m,4,Mitchell Daniels
-Lawyer,m,1,Mitchell Garabedian
-,m,1,Mitchell McLaughlin
-,m,1,Mitchell Potter
-Television producer,f,1,Mitchell Swartz
-Foreign minister,m,2,Mitoji Yabunaka
-Canadian singer,f,1,Mitsou Gelinas
-Former Governor of Massachusetts,m,1,Mitt Romney
-American actress,f,1,Mitzi Gaynor
-Japanese model,f,2,Miyako Miyazaki
-Military commander,m,1,Mladen Naletilic
-American strategist,m,1,Mo Elleithee
-American musician,m,1,Moby
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-Egyptian diplomat,m,8,Mohamed ElBaradei
-,m,1,Mohamed Hammam
-,m,1,Mohamed Seineldin
-,m,1,Mohammad Aktar
-,m,1,Mohammad Al-Sharief
-,m,1,Mohammad Fares
-,m,1,Mohammad Hasanein
-Former President of Iran,m,10,Mohammad Khatami
-,m,1,Mohammad Mustapha Miro
-,m,1,Mohammaed Ahmad Al Jarallah
-,m,1,Mohammed Abu Sharia
-,m,1,Mohammed Abulhasan
-,m,15,Mohammed Al-Douri
-,m,1,Mohammed Al Hindi
-,m,1,Mohammed Ashraf Hafiz
-Ayatollah,m,3,Mohammed Baqir al-Hakim
-Politician,m,1,Mohammed Dahlan
-,m,1,Mohammed Mehdi Saleh
-,m,1,Mohammed Salmane
-American model,f,1,Molly Sims
-General,m,1,Momcilo Perisic
-,m,1,Momir Nikolic
-,f,1,Mona Ayoub
-,f,1,Mona Locke
-,f,1,Mona Rishmawi
-Italian actress,f,4,Monica Bellucci
-,f,1,Monica Gabrielle
-American television personality,f,3,Monica Lewinsky
-Tennis player,f,6,Monica Seles
-José Serra's wife,f,1,Monica Serra
-Mexican soccer player,f,1,Monica Vergara
-Freestyle swimmer,f,1,Monique Ferreira
-Politician,f,1,Monique Gagnon-Tremblay
-German speed skater,f,3,Monique Garbrecht-Enfeldt
-Football coach,m,1,Monte Kiffin
-South Korean actress,f,1,Moon-So-ri
-American actress,f,1,Morgan Fairchild
-American actor,m,2,Morgan Freeman
-Freestyle swimmer,f,1,Morgan Hentzen
-American attorney,m,1,Morris Dees
-Football coach,m,1,Morris Watts
-Former President of Israel,m,4,Moshe Katsav
-Saint,f,1,Mother Teresa
-Rapper,f,1,Ms Dynamite
-Cellist,m,1,Mstislav Rostropovich
-Former Prime Minister of Libya,m,2,Muammar Gaddafi
-American basketball coach,f,1,Muffet McGraw
-,m,1,Mufti Mohammad Syed
-American professional boxer,m,10,Muhammad Ali
-,m,1,Muhammad Ibrahim Bilal
-Iraqi diplomat,m,5,Muhammad Saeed al-Sahhaf
-Indian business magnate,m,3,Mukesh Ambani
-,m,1,Mukhtar Alytnbayev
-Ambassador,m,2,Munir Akram
-,m,1,Muwafak al-Ani
-,f,1,Myung Yang
-,f,1,Na Na Keum
-Palestinian official,m,3,Nabil Shaath
-,f,1,Nadia Forte
-Russian tennis player,f,5,Nadia Petrova
-Model,f,2,Nadine Vinzens
-Iraqi foreign minister,m,8,Naji Sabri
-,m,1,Najib al-Salhi
-,f,1,Namuddu Florence
-Film director,f,4,Nan Wang
-,f,2,Nancy Demme
-,f,1,Nancy Greenlaw
-,f,1,Nancy Humbert
-American actress,f,1,Nancy Kerrigan
-Minority Leader of the United States House of Representatives,f,15,Nancy Pelosi
-Author,f,1,Nancy Powell
-Former First Lady of the United States,f,2,Nancy Reagan
-American singer,f,2,Nancy Sinatra
-American spy,f,1,Nancy Smith
-Italian film director,m,2,Nanni Moretti
-,f,1,Naomi Bronstein
-Model,f,2,Naomi Campbell
-,f,1,Naomi Hayashi
-Actress,f,22,Naomi Watts
-Former Prime Minister of Japan,m,4,Naoto Kan
-Nepalese Politician,m,1,Narayan Singh Pun
-Prime Minister of India,m,1,Narendra Modi
-,m,2,Nasser al-Kidwa
-German actress,f,2,Nastassia Kinski
-American gymnast,f,1,Nastia Liukin
-,f,1,Natalia Dmitrieva
-,f,1,Natalia Motuziuk
-Actress,f,1,Natalia Verbeke
-,f,1,Natalia Vodonova
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-American swimmer,f,6,Natalie Coughlin
-Singer-songwriter,f,1,Natalie Imbruglia
-,f,1,Natalie Juniardi
-American singer-songwriter,f,5,Natalie Maines
-Singer,f,1,Natalie Stewart
-American basketball player,f,1,Natalie Williams
-Olympic athlete,f,1,Natalya Sazanovich
-,f,1,Natanaela Barnova
-Serbian Politician,f,1,Natasa Micic
-Canadian actress,f,1,Natasha Henstridge
-American actress,f,1,Natasha Lyonne
-British actress,f,3,Natasha McElhone
-American basketball player,m,1,Nate Blackwell
-American basketball player,m,1,Nate Huffman
-Football player,m,1,Nate Hybl
-,f,1,Nathalia Gillot
-French film actress,f,4,Nathalie Baye
-Tennis player,f,1,Nathalie Dechy
-,f,1,Nathalie Gagnon
-,m,1,Nathan Doudney
-American actor,m,2,Nathan Lane
-Tournament,m,1,Nathan Powell
-Soccer player,m,1,Nathan Smith
-,f,1,Nathirah Hussein
-Political figure,m,1,Nawabzada Nasrullah Khan
-,m,2,Nebojsa Pavkovic
-Family Guy character,m,1,Neil Goldman
-American film producer,m,1,Neil Moritz
-Soccer player,m,1,Nelson Acosta
-Former President of South Africa,m,4,Nelson Mandela
-American artist,m,1,Nelson Shanks
-Italian actor,m,2,Neri Marcore
-,m,1,Nestor Gonzalez
-Former President of Argentina,m,37,Nestor Kirchner
-,m,1,Nestor Santillan
-Former Speaker of the United States House of Representatives,m,1,Newt Gingrich
-,m,1,Newton Carlton Slawson
-Actress,f,5,Nia Vardalos
-Musical artist,m,1,Niall Connolly
-Paraguayan Politician,m,11,Nicanor Duarte Frutos
-English politician,m,2,Nicholas Byron
-Singer-songwriter,m,2,Nicholas Tse
-,m,1,Nicholoas DiMarzio
-American director,m,1,Nick Cassavetes
-Baseball right fielder,m,1,Nick Markakis
-American actor,m,5,Nick Nolte
-Zimbabwean professional golfer,m,1,Nick Price
-Former U.S. Representative,m,1,Nick Rahall
-,m,1,Nick Reilly
-American soccer player,m,1,Nick Rimando
-Drummer,m,1,Nick Turner
-Ice hockey defenceman,m,1,Nicklas Lidstrom
-Italian politician,m,1,Nicola Bono
-,f,1,Nicola Wells
-American actor,m,4,Nicolas Cage
-Tennis player,m,2,Nicolas Escude
-Chilean economist,m,1,Nicolas Eyzaguirre
-German tennis player,m,1,Nicolas Kiefer
-Tennis player,m,2,Nicolas Lapentti
-,m,1,Nicolas Latorre
-Canadian olympic athlete,m,1,Nicolas Macrozonaris
-Chilean tennis player,m,1,Nicolas Massu
-Former President of France,m,1,Nicolas Sarkozy
-American singer,f,1,Nicole
-American actress,f,1,Nicole Hiltz
-Actress,f,19,Nicole Kidman
-American comedian,f,1,Nicole Parker
-Italian actress,f,1,Nicoletta Braschi
-Actress,f,1,Nida Blanca
-,m,1,Nigel Redden
-,f,1,Nikki Cascone
-American singer,f,1,Nikki McKibbin
-American actress,f,2,Nikki Reed
-Basketball player,f,1,Nikki Teasley
-Russian tennis player,m,1,Nikolay Davydenko
-,f,1,Nila Ferran
-American film producer,f,1,Nina Jacobson
-,f,1,Nina Pecari
-Italian singer,m,1,Nino DAngelo
-Tunisian soccer player,m,1,Nizar Trabelsi
-American film actor,m,3,Noah Wyle
-Japanese businessman,m,1,Nobuyuki Idei
-French industrialist,m,1,Noel Forgeard
-,f,1,Noel Niell
-Jeb Bush's daughter,f,4,Noelle Bush
-,m,1,Noer Moeis
-,m,1,Noer Muis
-American singer,f,1,Nona Gaye
-Vietnamese politician,m,1,Nong Duc Manh
-Soccer player,m,1,Noor Mohammed
-,f,2,Nora Bendijo
-American journalist,f,1,Nora Ephron
-American singer-songwriter,f,15,Norah Jones
-German general,m,1,Norbert van Heyst
-,m,1,Norio Ohga
-Former American senator,m,7,Norm Coleman
-Canadian stand-up comedian,m,1,Norm Macdonald
-Canadian film director,m,2,Norman Jewison
-American novelist,m,1,Norman Mailer
-Former United States Secretary of Transportation,m,1,Norman Mineta
-Canadian businessperson,m,1,Normand Legault
-Cambodian Politician,m,1,Norodom Chakrapong
-Former Ruler of Cambodia,m,3,Norodom Sihanouk
-,f,1,Nova Esther Guthrie
-Former Prime Minister of Cambodia,m,1,Nuon Chea
-Filipino politician,m,1,Nur Jaafar
-President of Kazakhstan,m,2,Nursultan Nazarbayev
-Football running back,m,2,OJ Simpson
-,m,1,Octavio Lara
-,m,1,Odai Hussein
-,f,1,Odilia Collazo
-Soviet soccer player,m,1,Oleg Romantsev
-Ukrainian Politician,m,2,Oleksandr Moroz
-Former Governor of Utah,f,1,Olene Walker
-,f,2,Olesya Bonabarenko
-Soccer player,m,1,Oliver Neuville
-Actor,m,1,Oliver Phelps
-American writer,m,1,Oliver Stone
-,f,1,Olivera Labus
-Singer-songwriter,f,2,Olivia Newton-John
-Automobile designer,m,1,Olivier Boulay
-Belgian tennis player,m,1,Olivier Rochus
-American actress,f,1,Olympia Dukakis
-,m,1,Omar Khan Sharif
-Actor,m,4,Omar Sharif
-Baseball shortstop,m,1,Omar Vizquel
-,m,1,Omar el-Heib
-American basketball player,m,1,Ontario Lett
-American executive,f,4,Oprah Winfrey
-American coach,f,1,Oracene Williams
-Actor,m,3,Orlando Bloom
-Italian actress,f,1,Ornella Muti
-United States Senator,m,2,Orrin Hatch
-,m,1,Osama Al Baz
-Warfare,m,4,Osama bin Laden
-,m,1,Oscar Bolanos
-Venezuelan musician,m,1,Oscar DLeon
-Professional boxer,m,7,Oscar De La Hoya
-Cuban physician,m,2,Oscar Elias Biscet
-Fashion designer,m,1,Oscar de la Renta
-Musicologist,m,1,Osmond Smith
-,f,1,Osrat Iosef
-German banker,m,1,Oswald Gruebel
-,m,5,Oswaldo Paya
-American official,m,1,Otto Reich
-,m,1,Otto Schily
-Canadian ice hockey player,m,1,Owen Nolan
-American actor,m,2,Owen Wilson
-Russian television presenter,f,4,Oxana Fedorova
-Baseball shortstop,m,1,Ozzie Smith
-Vocalist,m,3,Ozzy Osbourne
-,f,1,Pa Kou Hang
-,m,1,Pablo Khulental
-,m,1,Pablo Latras
-,m,1,Paddy Long
-Canadian Politician,f,1,Paddy Torsney
-Irish professional golfer,m,4,Padraig Harrington
-North Korean foreign minister,m,1,Paek Nam Sun
-Chad Barefoot's wife,f,1,Paige Fitzgerald
-North Korean diplomat,m,1,Pak Gil Yon
-American-Canadian actress,f,5,Pamela Anderson
-Astronaut,m,1,Pamela Melroy
-Athlete,f,1,Paola Espinoza
-Tennis player,m,10,Paradorn Srichaphan
-American socialite,f,2,Paris Hilton
-South Korean Politician,m,1,Park Jie-won
-South Korean actor,m,1,Park Jung Sung
-,f,1,Park Na-kyong
-American Politician,m,2,Parris Glendening
-Indian cricketer,m,1,Parthiv Patel
-President of the Ivorian Popular Front,m,1,Pascal Affi Nguessan
-French political consultant,m,2,Pascal Lamy
-French writer,m,3,Pascal Quignard
-Canadian ice hockey player,m,1,Pascal Rheaume
-Coach,m,2,Pat Burns
-Irish Politician,m,2,Pat Cox
-,m,1,Pat DAmuro
-President of the Miami Heat,m,1,Pat Riley
-,f,1,Pat Rochester
-Football player,m,1,Pat Summerall
-American basketball coach,f,1,Pat Summitt
-,f,1,Pat Wharton
-French opera director,m,2,Patrice Chereau
-American actress,f,4,Patricia Clarkson
-,f,1,Patricia Garone
-,f,1,Patricia Hearst
-American actress,f,2,Patricia Heaton
-Operatic soprano,f,1,Patricia Johnson
-Actress,f,1,Patricia Medina
-"Anne, Princess Royal's ex-husband",f,1,Patricia Phillips
-,f,1,Patricia Russo
-Tennis player,f,1,Patricia Wartusch
-French journalist,m,1,Patrick Bourrat
-,m,1,Patrick Clawsen
-Football manager,m,1,Patrick Coleman
-,m,1,Patrick Dennehy
-American-Canadian ice hockey player,m,1,Patrick Eaves
-American-Jamaican basketball player,m,2,Patrick Ewing
-Executive,m,1,Patrick Kron
-United States Senator,m,2,Patrick Leahy
-Tennis player,m,2,Patrick McEnroe
-Australian tennis player,m,1,Patrick Rafter
-Canadian ice hockey coach,m,2,Patrick Roy
-Actor,m,2,Patrick Stewart
-Swedish athlete,m,1,Patrik Kristiansson
-,f,1,Patsy Hardy
-Actress,f,1,Patsy Kensit
-American lawyer,f,1,Patsy Mink
-,f,1,Patti Balgojevich
-Singing group,f,3,Patti Labelle
-American curler,f,1,Patti Lank
-American singer-songwriter,m,1,Patti Smith
-American actress,f,1,Patty Duke
-Swiss tennis player,f,4,Patty Schnyder
-American professional golfer,f,1,Patty Sheehan
-French tennis player,m,3,Paul-Henri Mathieu
-Actor,m,1,Paul Bettany
-Canadian musical artist,m,1,Paul Brandt
-American diplomat,m,20,Paul Bremer
-British butler,m,11,Paul Burrell
-Professional baseball player,m,2,Paul Byrd
-Former Governor of Massachusetts,m,1,Paul Celluci
-,m,1,Paul Cerjan
-Christian musician,m,1,Paul Clark
-,m,2,Paul Coppin
-Australian cyclist,m,1,Paul Crake
-Canadian financier,m,1,Paul Desmarais
-American lawyer,m,1,Paul Ebert
-Poet,m,1,Paul Farley
-Musical artist,m,1,Paul Gannon
-English former soccer player,m,3,Paul Gascoigne
-Film director,m,1,Paul Greengrass
-Canadian ice hockey player,m,1,Paul Henderson
-Australian comedian,m,2,Paul Hogan
-Football coach,m,1,Paul Johnson
-President of Rwanda,m,2,Paul Kagame
-Ice hockey winger,m,1,Paul Kariya
-Actor,m,1,Paul Kelleher
-Political figure,m,1,Paul Krueger
-Executive,m,1,Paul LeClerc
-,m,1,Paul Li Calsi
-American television personality,m,1,Paul Lo Duca
-American film actor,m,1,Paul Lockhart
-,m,1,Paul Luvera
-Former Prime Minister of Canada,m,8,Paul Martin
-Singer-songwriter,m,7,Paul McCartney
-American attorney,m,2,Paul McNulty
-,m,1,Paul Michael Daniels
-Member of Parliament of the United Kingdom,m,1,Paul Murphy
-American actor,m,1,Paul Newman
-Baseball player,m,9,Paul ONeill
-American businessman,m,1,Paul Otellini
-Former Governor of Kentucky,m,2,Paul Patton
-American basketball player,m,2,Paul Pierce
-American comedian,m,1,Paul Reiser
-Former member of the United States Senate,m,3,Paul Sarbanes
-American screenwriter,m,1,Paul Schrader
-American priest,m,3,Paul Shanley
-Chairman of the Board of Directors of Georgetown University,m,4,Paul Tagliabue
-Canadian racing driver,m,1,Paul Tracy
-American photojournalist,m,1,Paul Vathis
-American actor,m,1,Paul Walker
-,m,1,Paul Wals
-Former United States Senator,m,3,Paul Wellstone
-,m,2,Paul William Hurley
-Professional baseball player,m,1,Paul Wilson
-American political scientist,m,10,Paul Wolfowitz
-,m,1,Paul Wollnough
-Dancer,f,1,Paula Abdul
-Former Under Secretary of State for Democracy and Global Affairs,f,1,Paula Dobriansky
-,f,1,Paula Locke
-American actress,f,1,Paula Prentiss
-Track and field athlete,f,6,Paula Radcliffe
-American journalist,f,2,Paula Zahn
-American actress,f,1,Pauley Perrette
-American professional boxer,m,1,Paulie Ayala
-,f,1,Paulina Rodriguez Davila
-,f,1,Pauline Landers
-American columnist,f,1,Pauline Phillips
-Brazilian poet,m,2,Paulo Cesar Pinheiro
-Spanish filmmaker,m,7,Pedro Almodovar
-Baseball infielder,m,1,Pedro Alvarez
-Spanish astronaut,m,1,Pedro Duque
-,m,1,Pedro Mahecha
-Brazilian economist,m,5,Pedro Malan
-American-Dominican baseball player,m,1,Pedro Martinez
-Portuguese soccer player,m,1,Pedro Pauleta
-Spanish economist,m,4,Pedro Solbes
-Chilean politician,m,1,Pedro Velasquez
-Martin McGuinness' mother,f,1,Peggy McGuinness
-Brazilian soccer player,m,1,Pele
-American actress,f,2,Penelope Ann Miller
-Spanish actress,f,3,Penelope Cruz
-,f,1,Penelope Taylor
-Politician,f,1,Penny Dupuie
-Model,f,1,Penny Lancaster
-Joan Collins' husband,m,1,Percy Gibson
-American actress,f,1,Peri Gilpin
-Thomas Bjørn's wife,f,1,Pernilla Bjorn
-,f,1,Perri Shaw
-,m,1,Perry Compton
-American singer-songwriter,m,1,Perry Farrell
-,m,1,Perry Gibbs
-Former President of Pakistan,m,18,Pervez Musharraf
-,m,1,Pete Aldridge
-,m,1,Pete Beaudrault
-Football coach,m,3,Pete Carroll
-American basketball coach,m,1,Pete Gillen
-American professional baseball player,m,2,Pete Rose
-American tennis player,m,22,Pete Sampras
-,m,1,Peter Ahearn
-,m,1,Peter Albertsen
-Journalist,m,3,Peter Arnett
-,m,2,Peter Bacanovic
-American-Venezuelan author,m,1,Peter Camejo
-Director,m,1,Peter Care
-Politician,m,1,Peter Caruana
-Film director,m,1,Peter Chan
-Former Member of the Australian House of Representatives,m,2,Peter Costello
-Physician,m,1,Peter Fisher
-Former United States Senator,m,1,Peter Fitzgerald
-American actor,m,1,Peter Fonda
-Singer,m,1,Peter Gabriel
-Australian veteran,m,1,Peter Gilmour
-Engineer,m,1,Peter Goldmark
-British film director,m,2,Peter Greenaway
-,m,1,Peter Greenspun
-,m,2,Peter Harrison
-Executive,m,1,Peter Hartz
-Australian journalist,m,1,Peter Harvey
-New Zealand mountaineer,m,2,Peter Hillary
-Australian bishop,m,1,Peter Hollingworth
-Sailor,m,1,Peter Holmberg
-,m,1,Peter Hunt
-Tennis player,m,1,Peter Lundgren
-Former Minister of National Defence of Canada,m,1,Peter Mackay
-News anchor,m,1,Peter Mansbridge
-Artist,m,1,Peter Max
-Hungarian politician,m,1,Peter Medgyessy
-,m,1,Peter Mugyeni
-Actor,m,1,Peter Mullan
-Book by Carolyn Soutar,m,1,Peter OToole
-,m,1,Peter Rasch
-Danish badminton player,m,1,Peter Rasmussen
-American ichthyologist,m,1,Peter Schultz
-Slovak ice hockey player,m,1,Peter Sejna
-Actor,m,1,Peter Shaw
-German lawyer,m,5,Peter Struck
-American executive,m,1,Peter Ueberroth
-Australian swimmer,f,3,Petria Thomas
-Secretary of the Communist Party of Ukraine,m,2,Petro Symonenko
-,m,1,Pham Sy Chien
-,f,1,Pham Thi Mai Phuong
-Vietnamese Politician,m,3,Phan Van Khai
-American rapper,m,1,Pharrell Williams
-,m,1,Phil Bennett
-Former Governor of Tennessee,m,1,Phil Bredesen
-,m,1,Phil Cline
-Irish sportsperson,m,1,Phil Cullen
-American media personality,m,1,Phil Donahue
-Former United States Representative,m,2,Phil Gramm
-American basketball player,m,1,Phil Jackson
-American basketball coach,m,1,Phil Johnson
-American television personality,m,1,Phil McGraw
-American professional golfer,m,2,Phil Mickelson
-American film actor,m,1,Phil Morris
-American musical artist,m,2,Phil Vassar
-Cyclist,m,1,Philip Cummings
-,m,1,Philip Murtaugh
-,m,1,Philip Zalewski
-Canadian comedian,m,1,Philippe Gagnon
-French film actor,m,2,Philippe Noiret
-Football player,m,1,Phillip Fulmer
-,m,1,Phillip Seymor Hoffmann
-,m,1,Phillipe Comtois
-Athlete,m,1,Phillips Idowu
-Actress,f,1,Phoenix Chang
-Olympic athlete,f,1,Picabo Street
-Italian Politician,m,1,Pier Ferdinando Casini
-American-Irish actor,m,15,Pierce Brosnan
-French actor,m,2,Pierre Boulanger
-Politician,m,1,Pierre Gagnon
-,m,1,Pierre Lacroix
-Canadian Politician,m,3,Pierre Pettigrew
-Singaporean actor,m,1,Pierre Png
-Dutch soccer player,m,1,Pierre Van Hooijdonk
-American-British meteorologist,m,1,Piers Sellers
-,m,1,Pieter Bouw
-Mexican singer,f,1,Pilar Montenegro
-City in Cuba,m,1,Pinar del Rio
-,m,1,Pio Laghi
-Polish pianist,m,1,Piotr Anderszewski
-Opera singer,m,3,Placido Domingo
-Businessman,m,1,Platon Lebedev
-,f,1,Poala Suarez
-,f,1,Polona Bas
-American Politician,m,1,Porter Goss
-American-Australian model,f,1,Portia de Rossi
-Swiss businessman,m,1,Prakash Hinduja
-,m,1,Prem Kumar Nair
-,m,5,Prince Charles
-Prince consort,m,4,Prince Claus
-Canadian Province,m,2,Prince Edward
-King of Spain,m,1,Prince Felipe
-British prince,m,3,Prince Harry
-Heir apparent,m,3,Prince Naruhito
-King of the Belgians,m,1,Prince Philippe
-Monarch,m,1,Prince Rainier III
-King of the Netherlands,m,3,Prince Willem-Alexander
-Royal Knight of the Garter,m,2,Prince William
-,f,2,Princess Aiko
-Equestrian,f,2,Princess Anne
-Heir presumptive,f,5,Princess Caroline
-Princess of Wales,f,1,Princess Diana
-,f,2,Princess Elisabeth
-,f,1,Princess Hisako
-Crown Princess of Japan,f,2,Princess Masako
-,f,1,Princess Maxima
-Monégasque singer,f,1,Princess Stephanie
-Heir apparent,f,1,Princess Victoria
-,m,1,Pringe Ernst August
-Judge,f,2,Priscilla Owen
-American actress,f,2,Priscilla Presley
-Indian actress,f,1,Priyanka Chopra
-Philippine Politician,m,1,Prospero Pichay
-Italian film director,m,4,Pupi Avati
-,m,1,Pyar Jung Thapa
-,m,1,Qais al-Kazali
-,m,1,Qazi Afzal
-Islamic scholar,m,1,Qazi Hussain Ahmed
-Chinese diplomat,m,1,Qian Qichen
-Former Queen of the Netherlands,f,4,Queen Beatrix
-,f,13,Queen Elizabeth II
-American rapper,f,4,Queen Latifah
-,f,1,Queen Noor
-Queen Consort of Jordan,f,5,Queen Rania
-,f,1,Queen Silvia
-Queen of Spain,f,1,Queen Sofia
-American basketball coach,m,1,Quin Snyder
-American record producer,m,1,Quincy Jones
-,m,1,Qusai Hussein
-,m,1,Raaf Schefter
-,m,1,Raag Singhal
-American author,f,1,Rachel Corrie
-Australian actress,f,3,Rachel Griffiths
-Actress,f,4,Rachel Hunter
-English actress,f,1,Rachel Kempson
-American actress,f,1,Rachel Leigh Cook
-American fashion designer,f,1,Rachel Roy
-,f,1,Rachel Wadsworth
-,f,1,Rachel Wheatley
-Politician,m,1,Radovan Karadzic
-Italian soccer player,m,1,Raf Vallone
-Argentine Politician,m,1,Rafael Bielsa
-Former UN Representative of Venezuela,m,4,Rafael Ramirez
-Architect,m,1,Rafael Vinoly
-,m,1,Rafeeuddin Ahmed
-Malaysian Politician,f,1,Rafidah Aziz
-Airport in Lebanon,m,1,Rafiq Hariri
-,f,2,Raghad Saddam Hussein
-Indian cricketer,m,1,Rahul Dravid
-,m,1,Rainer Geulen
-,m,1,Rainer Gut
-German tennis player,m,5,Rainer Schuettler
-Raja Ema's father,f,1,Raja Ibrahim
-,m,1,Raja Qureshi
-,m,1,Raja Ramani
-Member of the Senate of Pakistan,m,1,Raja Zafar-ul-Haq
-German racing driver,m,8,Ralf Schumacher
-Actor,m,1,Ralph Fiennes
-Racing driver,m,2,Ralph Firman
-Football coach,m,1,Ralph Friedgen
-Former Member of the Canadian House of Commons,m,1,Ralph Goodale
-Canadian Politician,m,2,Ralph Klein
-Fashion company,m,2,Ralph Lauren
-American activist,m,1,Ralph Nader
-American basketball player,m,1,Ralph Sampson
-Boxer,m,1,Ramiro Goben Reducindo
-,m,1,Ramon Cardenas
-Tennis player,m,1,Ramon Delgado
-,m,1,Ramon Ponce de Leon
-Municipality in the Dominican Republic,m,1,Ramon Santana
-,f,1,Ramona Rispton
-Under Secretary of Homeland Security for National Protection and Programs,m,1,Rand Beers
-Robyn Miller's brother,m,1,Rand Miller
-American Politician,m,1,Randall Terry
-American ambassador,m,1,Randall Tobias
-,m,1,Randy Brown
-,m,1,Randy Dryer
-Canadian curler,m,1,Randy Ferbey
-American bassist,m,1,Randy Jackson
-Baseball pitcher,m,1,Randy Johnson
-American singer-songwriter,m,1,Randy Travis
-Indian actress,f,1,Rani Mukherjee
-Former Prime Minister of Sri Lanka,m,3,Ranil Wickremasinghe
-Filmmaker,m,4,Raoul Ruiz
-American actress,f,2,Raquel Welch
-Spokesman,m,1,Rashid Qureshi
-Businesswoman,f,1,Ratna Sari Dewi Sukarno
-Boxer,m,1,Raul Castaneda
-,m,1,Raul Chacon
-Paraguayan Politician,m,1,Raul Cubas
-Spanish soccer player,m,1,Raul Gonzalez
-American professional baseball player,m,1,Raul Ibanez
-Dominican politician,m,1,Raul Mondesi
-Poet,m,1,Raul Rivero
-,m,1,Ravan AG Farhadi
-American basketball player,m,3,Ray Allen
-American author,m,1,Ray Bradbury
-American consultant,m,1,Ray Evernham
-Film producer,m,1,Ray Halbritter
-Football linebacker,m,1,Ray Lewis
-American actor,m,1,Ray Liotta
-Football player,m,1,Ray Lucas
-,m,1,Ray Morrough
-Former Mayor of New Orleans,m,2,Ray Nagin
-American singer,m,1,Ray Price
-American stand-up comedian,m,9,Ray Romano
-American coach,m,1,Ray Sherman
-,m,1,Ray Wasden
-Actor,m,1,Ray Young
-,m,1,Raymond Arthurs
-General,m,2,Raymond Odierno
-Former Chairman of the Senate of Pakistan,m,1,Raza Rabbani
-Malaysian diplomat,m,1,Razali Ismail
-American actress,f,4,Rebecca Romijn-Stamos
-,f,4,Rebekah Chantay Revels
-President of Turkey,m,30,Recep Tayyip Erdogan
-American basketball coach,m,1,Red Auerbach
-American actress,f,4,Reese Witherspoon
-City in Massachusetts,m,1,Reggie Lewis
-American basketball player,m,2,Reggie Miller
-Baseball player,m,1,Reggie Sanders
-Former Secretary for Security,f,1,Regina Ip
-American film director,m,1,Reginald Hudlin
-,f,1,Reina Hayes
-German Politician,m,1,Reinhard Buetikofer
-,m,1,Ren Qingjin
-American actress,f,1,Rena Sofer
-Italian entrepreneur,m,1,Renato Soru
-,m,1,Rene Antonio Leon Rodriguez
-American basketball coach,f,1,Rene Portland
-American actress,f,17,Renee Zellweger
-South African professional golfer,m,1,Retief Goosen
-Baseball player,m,1,Rey Sanchez
-Necmettin Bilal Erdoğan's wife,f,1,Reyyan Uzuner
-Ice hockey player,m,1,Rhett Warrener
-,f,1,Rhina Villatoro
-Former President of Chile,m,27,Ricardo Lagos
-Argentine economist,m,2,Ricardo Lopez Murphy
-,m,2,Ricardo Maduro
-Nicaraguan professional boxer,m,1,Ricardo Mayorga
-Swimmer,m,2,Ricardo Monasterio
-American musician,m,6,Ricardo Sanchez
-Italian conductor,m,1,Riccardo Muti
-Football player,m,1,Rich Brooks
-Football quarterback,m,2,Rich Gannon
-Film actor,m,9,Richard Armitage
-Architect,m,1,Richard Barry
-Business magnate,m,2,Richard Branson
-Singer,m,2,Richard Butler
-Ugandan poet,m,1,Richard Carl
-American actor,m,1,Richard Chamberlain
-American columnist,m,1,Richard Cohen
-American television actor,m,2,Richard Crenna
-Former Mayor of Chicago,m,1,Richard Daley
-American actor,m,1,Richard Dreyfuss
-,m,1,Richard Fine
-American Politician,m,11,Richard Gephardt
-American actor,m,10,Richard Gere
-American playwright,m,1,Richard Greenberg
-President of the Council on Foreign Relations,m,2,Richard Haass
-American basketball player,m,1,Richard Hamilton
-Irish actor,m,1,Richard Harris
-,m,1,Richard Hellfant
-American basketball player,m,1,Richard Jefferson
-American police officer,m,1,Richard Jewell
-Dutch tennis player,m,3,Richard Krajicek
-,m,1,Richard Langille
-,m,1,Richard Lennon
-Economist,m,1,Richard Levin
-Former United States Senator,m,1,Richard Lugar
-President of Kansas State University,m,18,Richard Myers
-,m,1,Richard Naughton
-British editor,m,2,Richard Norton-Taylor
-Musician,m,1,Richard Palmer
-Franchiser,m,1,Richard Parsons
-American author,m,1,Richard Paul Evans
-American recording artist,m,1,Richard Penniman
-Police officer,m,1,Richard Pennington
-American statesman,m,1,Richard Perle
-,m,1,Richard Regenhard
-British criminal,m,1,Richard Reid
-American writer,m,1,Richard Rodriguez
-British journalist,m,2,Richard Sambrook
-United States Senator,m,2,Richard Shelby
-,m,1,Richard Sterner
-Physician,m,1,Richard Tubb
-French professional road racing cyclist,m,8,Richard Virenque
-American actor,m,1,Richard Ward
-Basketball coach,m,2,Richie Adubato
-American basketball coach,m,3,Rick Barnes
-Cermak Bland's father,m,1,Rick Bland
-American journalist,m,1,Rick Bragg
-American basketball coach,m,4,Rick Carlisle
-American businessman,m,1,Rick Caruso
-,m,3,Rick Dinse
-American astronaut,m,1,Rick Husband
-,m,1,Rick Lu
-United States Secretary of Energy,m,6,Rick Perry
-American basketball coach,m,4,Rick Pitino
-Baseball player,m,1,Rick Reed
-American basketball player,m,1,Rick Rickert
-,m,3,Rick Romley
-Former member of the United States Senate,m,3,Rick Santorum
-American basketball coach,m,3,Rick Stansbury
-American businessman,m,2,Rick Wagoner
-American professional golfer,m,2,Ricky Barnes
-,m,1,Ricky Cottrill
-Singer,m,2,Ricky Martin
-Australian cricketer,m,2,Ricky Ponting
-,m,1,Ricky Quick
-Football quarterback,m,1,Ricky Ray
-Film director,m,1,Ridley Scott
-,m,1,Riek Blanjaar
-Former football player,m,1,Rien Long
-Guatemalan painter,f,1,Rina Lazo
-Musician,m,1,Ringo Starr
-Soccer player,m,2,Rio Ferdinand
-Tennis player,f,3,Rita Grande
-Actress,f,2,Rita Moreno
-American actress,f,4,Rita Wilson
-American actor,m,4,Rob Lowe
-American film director,m,6,Rob Marshall
-Former football player,m,1,Rob Moore
-American actor,m,1,Rob Morrow
-Canadian ice hockey player,m,1,Rob Niedermayer
-Canadian actor,m,1,Rob Ramsay
-American actor,m,2,Rob Schneider
-Actor,m,1,Robbie Coltrane
-Soccer player,m,2,Robbie Fowler
-,m,1,Robbie Mc Ewen
-,m,1,Robbie Naish
-Singer-songwriter,m,3,Robbie Williams
-American tennis player,m,2,Robby Ginepri
-American film director,m,1,Robert Altman
-Actor,m,1,Robert Beck
-American diplomat,m,2,Robert Blackwill
-American actor,m,8,Robert Blake
-American basketball player,m,3,Robert Bonner
-American pornographic actor,m,2,Robert Bullock
-,m,2,Robert DeFraites
-Actor,m,6,Robert De Niro
-Actor,m,1,Robert Douglas
-American actor,m,1,Robert Downey Jr
-,m,1,Robert Durst
-American actor,m,8,Robert Duvall
-Former Governor of Maryland,m,2,Robert Ehrlich
-American film producer,m,3,Robert Evans
-American attorney,m,1,Robert F Kennedy Jr
-Former Prime Minister of Slovakia,m,2,Robert Fico
-,m,1,Robert Flodquist
-Researcher,m,1,Robert Gallo
-,m,1,Robert Gordon Card
-,m,1,Robert Hanssen
-American poet,m,2,Robert Horan
-American actor,m,1,Robert Hyatt
-Long-distance runner,m,1,Robert Kipkoech Cheruiyot
-Former President of Armenia,m,5,Robert Kocharian
-Polish olympic athlete,m,1,Robert Korzeniowski
-Record producer,m,1,Robert Lange
-American serial killer,m,1,Robert Lee Yates Jr
-American forester,m,1,Robert Marshall
-Author,m,1,Robert McKee
-,m,1,Robert Morvillo
-American attorney,m,5,Robert Mueller
-Former Prime Minister of Zimbabwe,m,2,Robert Mugabe
-American businessman,m,1,Robert Nardelli
-,m,1,Robert Nillson
-American biologist,m,1,Robert Pollack
-American actor,m,8,Robert Redford
-American televangelist,m,1,Robert Schuller
-American actor,m,2,Robert Stack
-Former United States Senator,m,3,Robert Torricelli
-American screenwriter,m,1,Robert Towne
-Film actor,m,1,Robert Tyrrell
-,m,1,Robert Vowler
-American actor,m,1,Robert Wagner
-Musical artist,m,1,Robert Weitzel
-Writer,m,1,Robert Wiener
-American businessman,m,2,Robert Witt
-United States Ambassador to the United Kingdom,m,1,Robert Woody Johnson
-American public official,m,7,Robert Zoellick
-,f,1,Roberta Combs
-,m,1,Roberto Arguelles
-Italian actor,m,2,Roberto Benigni
-Uruguayan political figure,m,1,Roberto Canessa
-Soccer player,m,4,Roberto Carlos
-Italian fashion designer,m,1,Roberto Cavalli
-,m,1,Roberto Cercelletta
-,m,1,Roberto Guaterroma
-,m,1,Roberto Laratro
-Argentine economist,m,1,Roberto Lavagna
-Brazilian publisher,m,3,Roberto Marinho
-,m,1,Roberto Robaina
-Costa Rican Politician,m,1,Roberto Tovar
-American physician,m,2,Robin Cook
-,f,1,Robin Johansen
-Author,f,1,Robin McGraw
-American actor,m,2,Robin McLaurin Williams
-American actress,f,1,Robin Tunney
-American scenic designer,f,1,Robin Wagner
-American actor,m,1,Robin Williams
-American actress,f,1,Robin Wright Penn
-French actor,m,2,Robinson Stevenin
-Italian Politician,m,1,Rocco Buttiglione
-Former Governor of Illinois,m,2,Rod Blagojevich
-,m,1,Rod Bryden
-,m,1,Rod Jong-il
-Former United States Secretary of Education,m,1,Rod Paige
-Singer-songwriter,m,3,Rod Stewart
-American basketball player,m,1,Rod Thorn
-American comedian,m,1,Rodney Dangerfield
-,m,1,Rodney Rempt
-,m,1,Rodolfo Abalos
-,m,2,Rodrigo Borja
-Spanish Politician,m,1,Rodrigo Rato
-,m,1,Rodrigo de la Cerna
-American lawyer,m,1,Roel Campos
-Mexican Politician,m,1,Rogelio Montemayor
-Argentine former soccer player,m,1,Rogelio Ramos
-Baseball pitcher,m,2,Roger Clemens
-Landscaper,m,1,Roger Cook
-"Elementary school in Reno, Nevada",m,1,Roger Corbett
-Singer,m,1,Roger Daltrey
-,m,1,Roger Etchegaray
-Tennis player,m,14,Roger Federer
-Canadian Politician,m,1,Roger Grimes
-Tennis player,m,1,Roger King
-,m,1,Roger Lyons
-Brazilian soccer player,m,1,Roger Machado
-,m,1,Roger Mahony
-Actor,m,5,Roger Moore
-Stock car racing team,m,1,Roger Penske
-Football quarterback,m,1,Roger Staubach
-Soccer player,m,1,Roger Suarez
-,m,1,Roger Toussaint
-Author,m,1,Roger Winter
-Backstroke swimmer,m,2,Rogerio Romero
-Former President of South Korea,m,32,Roh Moo-hyun
-Canadian-Indian writer,m,1,Rohinton Mistry
-,m,1,Rohman al-Ghozi
-German jurist,m,1,Roland Koch
-Former President of Lithuania,m,2,Rolandas Paksas
-,m,2,Rolf Eckrodt
-German architect,m,1,Rolf Zimmermann
-American basketball coach,m,1,Rollie Massimino
-French actor,m,1,Romain Duris
-Israeli-Russian businessman,m,1,Roman Abramovich
-Filmmaker,m,1,Roman Coppola
-French-Polish film director,m,6,Roman Polanski
-Singer,m,1,Roman Tam
-Italian Politician,m,7,Romano Prodi
-,m,1,Romario Farias
-,m,1,Romeo Gigli
-,m,8,Ron Dittemore
-American Politician,m,1,Ron Gonzales
-American filmmaker,m,2,Ron Howard
-Former Secretary of State of Texas,m,1,Ron Kirk
-,m,1,Ron Lantz
-Football coach,m,1,Ron Zook
-,m,1,Ronald Brower
-Author,m,1,Ronald Harwood
-,m,1,Ronald Ito
-,m,1,Ronald Kadish
-American journalist,m,1,Ronald Kessler
-American businessman,m,1,Ronald Perelman
-,m,1,Ronald Post
-40th U.S. President,m,3,Ronald Reagan
-American musician,m,1,Ronald White
-,m,1,Ronald Young Jr
-Brazilian soccer player,m,4,Ronaldo Luis Nazario de Lima
-Football cornerback,m,1,Ronde Barber
-Olympic athlete,m,1,Ronnie Jagday
-American lawyer,m,1,Ronnie Musgrove
-,f,1,Rosa Haywa de Condori
-,f,1,Rosalie Perkov
-Former First Lady of the United States,f,1,Rosalyn Carter
-American actress,f,1,Rosario Dawson
-,f,1,Rose Linkins
-American actress,f,1,Rose Marie
-American actress,f,3,Roseanne Barr
-American model,f,2,Rosemarie Stack
-American actress,f,1,Rosie Perez
-,m,1,Rosny Desroches
-Former football player,m,1,Ross Verba
-Theologian,m,1,Rowan Williams
-United States Senator,m,1,Roy Blunt
-Venezuelan Politician,m,1,Roy Chaderton
-Professional baseball player,m,1,Roy Halladay
-Professional boxer,m,2,Roy Jones Jr
-Former Chief Justice,m,6,Roy Moore
-American singer,m,1,Roy Rogers
-Canadian Politician,m,1,Roy Romanow
-American basketball coach,m,4,Roy Williams
-Spanish tennis player,f,1,Ruano Pascual
-Baseball athlete,m,1,Ruben Sierra
-American gospel singer,m,2,Ruben Studdard
-Basketball player,m,1,Ruben Wolkowyski
-Brazilian racing driver,m,12,Rubens Barrichello
-Soccer player,m,1,Rudi Voeller
-,m,1,Rudolf Schuster
-Former Mayor of New York City,m,26,Rudolph Giuliani
-,m,1,Rudolph Holton
-American basketball player,m,1,Rudy Tomjanovich
-American wrestler,m,1,Rulon Gardner
-Actor,m,3,Rupert Grint
-American-Australian media mogul,m,2,Rupert Murdoch
-Baseball player,m,1,Russ Ortiz
-New Zealand yachtsman,m,2,Russell Coutts
-Actor,m,2,Russell Crowe
-American entrepreneur,m,5,Russell Simmons
-Turkish soccer player,m,1,Rustu Recber
-Associate Justice of the Supreme Court of the United States,f,1,Ruth Bader Ginsburg
-,f,1,Ruth Christofferson
-Swiss Politician,f,2,Ruth Dreifuss
-,m,2,Ruth Harlow
-Researcher,f,1,Ruth Pearce
-President of iProspect,f,1,Ruth Stubbs
-Professional baseball player,m,1,Ryan Drese
-Professor,m,1,Ryan Goodman
-Former football player,m,1,Ryan Leaf
-American race car driver,m,1,Ryan Newman
-Professional road racing cyclist,m,1,Ryan Nyquist
-,m,1,SJ Twu
-Singaporean Politician,m,2,S Jayakumar
-,m,1,Saadi Gadhafi
-Former Prime Minister of Kuwait,m,1,Sabah Al-Ahmad Al-Jaber Al-Sabah
-Former soccer player,m,2,Saburo Kawabuchi
-Olympic swimmer,f,4,Sachiko Yamada
-Indian cricketer,m,1,Sachin Tendulkar
-Olympic athlete,f,1,Sada Jacobson
-,m,1,Sadam Hassan
-Former President of Iraq,m,23,Saddam Hussein
-Actress,f,3,Sadie Frost
-Diplomat,m,2,Saeb Erekat
-Pakistani cricketer,m,1,Saeed Anwar
-Iranian Politician,m,1,Saeed Mortazavi
-,m,1,Sahim Alwan
-,m,1,Saied Hadi al Mudarissi
-Solicitor,f,1,Sally Clark
-American actress,f,4,Sally Field
-American film actress,f,4,Sally Kirkland
-American astronaut,f,2,Sally Ride
-American-Mexican film actress,f,13,Salma Hayek
-Indian film actor,m,1,Salman Khan
-Novelist,m,3,Salman Rushdie
-,m,3,Sam Bith
-United States Ambassador-at-Large for International Religious Freedom,m,1,Sam Brownback
-,m,1,Sam Gerald
-Stage director,m,2,Sam Mendes
-American actor,m,1,Sam Rockwell
-Scottish golfer,m,3,Sam Torrance
-,m,1,Saman Shali
-American television producer,f,1,Samantha Daniels
-,f,1,Samantha Ledster
-American professor,m,1,Sami Al-Arian
-Iranian filmmaker,f,2,Samira Makhmalbaf
-Football player,m,1,Sammy Knight
-Baseball right fielder,m,2,Sammy Sosa
-Business person,m,4,Samuel Waksal
-,f,1,San Lan
-American singer-songwriter,m,1,Sananda Maitreya
-,f,1,Sandra Banning
-American actress,f,4,Sandra Bullock
-Italian film actress,f,1,Sandra Ceccarelli
-,f,1,Sandra Day OConner
-Italian actress,f,1,Sandra Milo
-Canadian actress,f,1,Sandra Shamas
-Visual artist,f,1,Sandy Smith
-Bob Wise's wife,f,1,Sandy Wise
-Serbian model,f,1,Sanja Papic
-Kalpana Chawla's brother,m,1,Sanjay Chawla
-American neurosurgeon,m,1,Sanjay Gupta
-Colombian bicycler,m,1,Santiago Botero
-,m,1,Saoud Al Faisal
-Former President of Turkmenistan,m,2,Saparmurat Niyazov
-,f,1,Sara Elisabeth Ahmad
-,f,1,Sara Silverman
-,f,1,Sarah Canale
-American figure skater,f,6,Sarah Hughes
-American actress,f,6,Sarah Jessica Parker
-American actress,f,3,Sarah Michelle Gellar
-Novelist,f,1,Sarah Price
-American attorney at law,f,1,Sarah Weddington
-Australian actress,f,1,Sarah Wynter
-Tennis player,m,1,Sargis Sargsian
-Actress,f,1,Sasha Alexander
-American figure skater,f,1,Sasha Cohen
-,m,1,Satnarine Sharma
-Film director,m,1,Scott Blum
-Filmmaker,m,1,Scott Dalton
-Politician,m,1,Scott Dickson
-,m,1,Scott Fawell
-Adrianna Costa's husband,m,1,Scott Gorelick
-American figure skater,m,1,Scott Hamilton
-American professional golfer,m,1,Scott Hoch
-,m,1,Scott Hubbard
-Former White House Press Secretary,m,5,Scott McClellan
-American businessman,m,2,Scott McNealy
-Fighter pilot,m,1,Scott OGrady
-,m,5,Scott Peterson
-Critic,m,2,Scott Ritter
-Baseball third baseman,m,1,Scott Rolen
-American film producer,m,2,Scott Rudin
-Member of the United States Senate,m,2,Scott Sullivan
-American professional golfer,m,1,Scott Verplank
-American historian,m,1,Scott Wallach
-American musician,m,1,Scott Weiland
-American lyricist,m,1,Scott Wittman
-American actor,m,2,Scott Wolf
-Sound engineer,m,1,Scott Yates
-South Korean player,m,1,Se Hyuk Joo
-American actor,m,3,Sean Astin
-American rapper,m,1,Sean Combs
-American actor,m,2,Sean Hayes
-University professor,m,5,Sean OKeefe
-American cardinal,m,3,Sean Patrick OMalley
-American actor,m,1,Sean Patrick Thomas
-American actor,m,3,Sean Penn
-,m,1,Sean Townsend
-,m,1,Sebastian Cuattrin
-Argentine motorcycle road racer,m,1,Sebastian Porto
-Argentine soccer player,m,3,Sebastian Saja
-Tennis player,m,4,Sebastien Grosjean
-,m,1,Sedigh Barmak
-,f,1,Selma Phoenix
-,m,4,Sepp Blatter
-,f,1,Serena Karlan
-American tennis player,f,52,Serena Williams
-Actor,m,1,Sereyvuth Kem
-,m,1,Serge Klarsfeld
-,m,1,Serge Melac
-Businessman,m,1,Serge Tchuruk
-,m,1,Sergei Alexandrovitch Ordzhonikidze
-Russian official,m,5,Sergei Ivanov
-Politician,m,1,Sergei Yastrzhembsky
-Politician,m,1,Sergei Yushenkov
-Minister of Foreign Affairs of the Russian Federation,m,11,Sergey Lavrov
-Italian actor,m,1,Sergio Castellitto
-Spanish professional golfer,m,2,Sergio Garcia
-Brazilian diplomat,m,11,Sergio Vieira De Mello
-,m,1,Seth Gorney
-Italian gynecologist,m,1,Severino Antinori
-Former Prime Minister of the Ivory Coast,m,1,Seydou Diarra
-American actor,m,1,Seymour Cassell
-Canadian ice dancer,f,1,Shae-Lynn Bourne
-,m,1,Shafal Mosed
-Lawyer,m,1,Shamai Leibowitz
-American race car driver,m,1,Shane Hmiel
-Baseball pitcher,m,1,Shane Loux
-American professional boxer,m,2,Shane Mosley
-Basketball player,m,1,Shane Phillips
-Baseball player,m,1,Shane Reynolds
-Australian cricketer,m,2,Shane Warne
-Canadian singer-songwriter,f,1,Shania Twain
-American basketball player,f,1,Shanna Zolman
-,f,2,Shannon OBrien
-American actress,f,1,Shannyn Sossamon
-,f,1,Sharess Harrell
-Gray Davis' wife,f,2,Sharon Davis
-,f,2,Sharon Frey
-Television host,f,3,Sharon Osbourne
-American singer-songwriter,f,1,Sharon Robinson
-American actress,f,5,Sharon Stone
-Former Prime Minister of Pakistan,m,2,Shaukat Aziz
-Former Defense Minister of Israel,m,3,Shaul Mofaz
-South African cricketer,m,1,Shaun Pollock
-,m,1,Shaun Rusling
-,f,1,Shavon Earp
-Basketball player,m,1,Shawn Bradley
-American basketball player,m,1,Shawn Kemp
-American basketball player,m,1,Shawn Marion
-Palestinian imam,m,1,Sheikh Ahmed Yassin
-Canadian Politician,f,4,Sheila Copps
-Auditor,f,2,Sheila Fraser
-American athlete,f,1,Sheila Taormina
-Advocate,f,2,Sheila Wellstone
-Former Speaker of the New York State Assembly,m,1,Sheldon Silver
-Coach,f,1,Sherri Coale
-,f,1,Sherry Fisher
-,f,1,Sherry Irving
-American singer-songwriter,f,8,Sheryl Crow
-Politician,m,1,Shi Guangsheng
-American actor,m,2,Shia LaBeouf
-Japanese professional baseball player,m,1,Shigeo Nagashima
-Japanese Politician,m,1,Shigeru Ishiba
-Former President of Israel,m,8,Shimon Peres
-Japanese golfer,m,1,Shingo Katayama
-Japanese sprinter,m,1,Shingo Suetsugu
-Japanese swimmer,m,1,Shinya Taniguchi
-Prime Minister of Japan,m,1,Shinzo Abe
-Zulfikar Ali Bhutto's ex-wife,f,1,Shireen Amir Begum
-American actress,f,1,Shirley Jones
-Indian columnist,f,1,Shobha De
-Soldier,f,1,Shoshana Johnson
-American actress,f,1,Shoshannah Stern
-American comic,m,1,Sid Caesar
-Philanthropist,m,1,Sidney Kimmel
-American-Bahamian actor,m,1,Sidney Poitier
-American actress,f,1,Sigourney Weaver
-Politician,f,4,Sila Calderon
-Former Energy and Water Resources Minister of Israel,m,6,Silvan Shalom
-Tennis player,f,3,Silvia Farina Elia
-,f,1,Silvie Cabero
-Former Prime Minister of Italy,m,33,Silvio Berlusconi
-Spanish singer,m,2,Silvio Fernandez
-,m,1,Sim Yong
-Musical artist,m,1,Simon Chalk
-A&amp;R executive,m,2,Simon Cowell
-Tennis player,m,1,Simon Larose
-Actor,m,1,Simon Yam
-,f,1,Simona Hradil
-Singer-songwriter,f,1,Sinead OConnor
-Television presenter,f,1,Sivan Klein
-American basketball coach,m,1,Skip Prosser
-Former President of Serbia,m,4,Slobodan Milosevic
-,m,1,Soenarno
-Greek-Italian-Swiss actress,f,1,Sofia Milos
-,m,1,Sofyan Dawood
-Pakistani field hockey player,m,1,Sohail Abbas
-Cambodian Politician,m,1,Sok An
-Bulgarian scientist,m,1,Solomon Passy
-Former President of Indian National Congress,f,4,Sonia Gandhi
-Mexican singer,f,1,Sonia Lopez
-,f,1,Sonja Kesselschlager
-Actress,f,1,Sonya Walger
-Actress,f,1,Soon Yi
-Film actress,f,7,Sophia Loren
-Empress of Russia,f,1,Sophie
-Indian cricketer,m,5,Sourav Ganguly
-Former United States Senator,m,17,Spencer Abraham
-,m,1,Spike Helmick
-American filmmaker,m,1,Spike Jonze
-American film director,m,1,Spike Lee
-Canadian basketball player,f,1,Stacey Dales-Schuman
-,m,1,Stacey Jones
-,f,1,Stacey Yamaguchi
-,f,2,Stacy Dragila
-Ben E. King's sister,f,1,Stacy Nelson
-American basketball coach,m,2,Stan Heath
-,m,1,Stan Kasten
-American businessman,m,1,Stan Kroenke
-Tennis player,m,1,Stanislas Wawrinka
-Enterpriser,m,1,Stanley Ho
-Armed force officer,m,3,Stanley McChrystal
-American filmmaker,m,1,Stanley Nelson
-Film director,m,2,Stanley Tong
-,m,1,Stefaan Declerk
-Olympic athlete,m,1,Stefan Holm
-Tennis player,m,1,Stefan Koubek
-Bulgarian Politician,m,1,Stefan Tafrov
-Panamanian model,f,1,Stefanie De Roux
-Italian actor,m,2,Stefano Accorsi
-,m,1,Stefano Basalini
-Fashion designer,m,1,Stefano Gabbana
-,f,1,Steffeny Holtz
-Tennis player,f,5,Steffi Graf
-American actress,f,1,Stella Keitel
-Fashion designer,f,1,Stella McCartney
-Model,f,1,Stella Tennant
-Swedish actor,m,2,Stellan Skarsgard
-U.S. Representative,m,1,Steny Hoyer
-Armenian Politician,m,1,Stepan Demirchian
-Alpine ski racer,m,1,Stephan Eberharter
-Neurosurgeon,m,1,Stephane Delajoux
-Canadian freestyle skier,m,1,Stephane Rochon
-Canadian actor,m,1,Stephane Rousseau
-Tennis player,f,1,Stephanie Cohen Aloro
-Canadian actress,f,1,Stephanie Moore
-American actress,f,1,Stephanie Zimbalist
-American historian,m,2,Stephen Ambrose
-German basketball coach,m,1,Stephen Arigbabu
-CEO of Warner Music Group,m,1,Stephen Cooper
-American educator,m,1,Stephen Covey
-Politician,m,1,Stephen Crampton
-Director,m,2,Stephen Daldry
-,m,1,Stephen Ebberharter
-Film director,m,1,Stephen Frears
-,m,2,Stephen Friedman
-,m,1,Stephen Funk
-,m,1,Stephen Glassroth
-Former Prime Minister of Canada,m,1,Stephen Joseph
-Actor,m,1,Stephen Keener
-,m,1,Stephen Oake
-,m,1,Stephen Push
-American basketball coach,m,1,Stephen Silas
-,m,1,Stephen Swindal
-American mixed martial artist,m,1,Stephen Thompson
-British jewellery designer,m,1,Stephen Webster
-Baseball player,m,1,Sterling Hitchcock
-Actor,m,1,Steve-O
-American basketball coach,m,1,Steve Alford
-Radio presenter,m,1,Steve Allan
-American musician,m,1,Steve Allee
-American professional wrestler,m,1,Steve Austin
-Baseball player,m,1,Steve Avery
-Athlete,m,2,Steve Backley
-American businessman,m,3,Steve Ballmer
-American basketball player,m,1,Steve Blake
-,m,1,Steve Blankenship
-American entrepreneur,m,1,Steve Case
-Actor,m,1,Steve Coogan
-,m,1,Steve Coterill
-Professional baseball player,m,1,Steve Cox
-,m,1,Steve Cutler
-,m,1,Steve Fehr
-Baseball coach,m,1,Steve Karsay
-American basketball coach,m,1,Steve Kerr
-Former football player,m,1,Steve Largent
-American sports coach,m,6,Steve Lavin
-,m,1,Steve Lenard
-American sportscaster,m,3,Steve Mariucci
-English soccer player,m,1,Steve McManaman
-Basketball player,m,5,Steve Nash
-Drummer,m,1,Steve Nesbitt
-Chairman of Bain Capital,m,1,Steve Pagliuca
-American race car driver,m,2,Steve Park
-CEO of the Phoenix Coyotes,m,1,Steve Patterson
-American film writer,m,1,Steve Peace
-Sports analyst,m,1,Steve Phillips
-Rower,m,1,Steve Redgrave
-Recording artist,m,1,Steve Rush
-,m,1,Steve Shiver
-Football player,m,2,Steve Spurrier
-Coach,m,1,Steve Stirling
-Actor,m,1,Steve Valentine
-American singer-songwriter,m,1,Steve Wariner
-Australian cricketer,m,2,Steve Waugh
-American actor,m,1,Steve Zahn
-Actor,m,1,Steven Briggs
-Soccer player,m,1,Steven Craig
-American singer-songwriter,m,1,Steven Curtis Chapman
-Film director,m,1,Steven Feldman
-American physician,m,2,Steven Hatfill
-,m,1,Steven Kinlock
-Actor,m,2,Steven Seagal
-American filmmaker,m,7,Steven Spielberg
-American singer-songwriter,m,1,Steven Tyler
-American musician,m,1,Steven Van Zandt
-Former President of Croatia,m,1,Stipe Mesic
-American film actress,f,3,Stockard Channing
-Former United States Senator,m,3,Strom Thurmond
-,m,1,Stuart Knoll
-Irish actor,m,1,Stuart Townsend
-American actor,m,1,Stuart Whitman
-American author,f,1,Sue Grafton
-Basketball coach,f,1,Sue Guevara
-Actress,f,1,Sue Johnston
-,f,1,Sue Slavec
-Basketball player,f,2,Sue Wicks
-South Korean politician,m,1,Suh Chung-won
-,m,1,Suh Young-hoon
-,f,1,Suk Chung Hong
-Sultan of Oman,m,1,Sultan Qaboos
-Religious leader,m,1,Sun Myung Moon
-,m,1,Sung Hong Choi
-Former Member of House of Representatives of Thailand,m,1,Supachai Panitchpakdi
-,m,2,Surakait Sathirathai
-Turkish runner,f,1,Sureyya Ayhan
-Politician,m,1,Surya Bahadur Thapa
-United States Senator,f,2,Susan Collins
-American actress,f,6,Susan Sarandon
-Coach,f,1,Susan Walvius
-Canadian member of Parliament,m,1,Susan Whelan
-Minister of External Affairs of India,f,1,Sushma Swaraj
-American actress,f,2,Susie Castillo
-Former President of Indonesia,m,4,Susilo Bambang Yudhoyono
-Television channel,f,1,Suzanne Fox
-Canadian curler,f,2,Suzanne Gaudet
-Attorney,f,1,Suzanne Haik Terrell
-Hosni Mubarak's wife,f,1,Suzanne Mubarak
-American actress,f,1,Suzanne Somers
-,f,1,Suzanne Torrance
-American basketball coach,f,1,Suzie McConnell Serio
-Swedish football manager,m,1,Sven Goran Eriksson
-German professional boxer,m,1,Sven Ottke
-Danish Politician,m,1,Svend Aage Jensby
-Canadian Politician,m,1,Svend Robinson
-Basketball coach,m,1,Svetislav Pesic
-,f,1,Svetlana Belousova
-Russian model,f,2,Svetlana Koroleva
-Bulgarian soccer player,m,1,Svetoslav Todorov
-,f,1,Sybille Schmid
-,m,1,Syed Abdul Rahman Geelani
-,m,1,Syed Ibrahim
-American actor,m,9,Sylvester Stallone
-American-Hungarian photographer,f,1,Sylvia Plachy
-French ballet dancer,f,1,Sylvie Guillem
-Taiwanese player,f,1,Szu Yu Chen
-,m,1,TA McLendon
-American basketball player,m,1,TJ Ford
-American business magnate,m,1,T Boone Pickens
-Basketball coach,m,1,Tab Baldwin
-,m,1,Tab Turner
-President of Uruguay,m,1,Tabare Vazquez
-Iraqi fighter,m,15,Taha Yassin Ramadan
-,f,1,Taia Balk
-Swimmer,m,1,Takahiro Mori
-,m,1,Takaloo
-Japanese actor,m,2,Takashi Sorimachi
-Olympic swimmer,m,1,Takashi Yamamoto
-Japanese Politician,m,1,Takenori Kanzaki
-,m,1,Takeo Fukui
-Japanese Politician,m,1,Takeo Hiranuma
-Japanese comedian,m,1,Takeshi Kitano
-Japanese Politician,m,1,Taku Yamasaki
-Japanese racing driver,m,1,Takuma Sato
-,m,1,Talal Keenaan
-,f,1,Tali Imani
-American actress,f,1,Talisa Bratt
-American actress,f,1,Talisa Soto
-American conductor,f,2,Tamara Brooks
-,f,1,Tamara Mowry
-,f,1,Tamara Stokes
-American basketball player,f,1,Tamika Catchings
-,f,1,Tammy Helm
-Melissa Etheridge's ex-wife,f,2,Tammy Lynn Michaels
-Foreign minister,m,11,Tang Jiaxuan
-,f,1,Tangra Riggle
-,f,1,Tanya Holyk
-,f,1,Tanya Lindenmuth
-,m,1,Taoufik Mathlouthi
-,f,1,Tara Dawn Christensen
-American swimmer,f,1,Tara Kirk
-American actress,f,1,Tara Reid
-American basketball coach,f,1,Tara VanDerveer
-Former Foreign Minister of Iraq,m,6,Tariq Aziz
-Former President of Cyprus,m,3,Tassos Papadopoulos
-Russian volleyball player,f,1,Tatiana Gratcheva
-American author,f,1,Tatiana Kennedy Schlossberg
-Russian tennis player,f,1,Tatiana Panova
-,f,1,Tatiana Paus
-Basketball player,m,1,Tatiana Shchegoleva
-Model,f,1,Tatjana Gsell
-Actor,m,1,Tatsuya Fuji
-,f,1,Tatyana Tomashova
-Indonesian badminton player,m,3,Taufik Hidayat
-,m,1,Taufik Kiemas
-American talk show host,m,1,Tavis Smiley
-American soccer player,m,1,Taylor Twellman
-,m,1,Taylyn Solomon
-American basketball player,m,1,Tayshaun Prince
-,m,1,Tayyeb Abdel Rahim
-American racing driver,m,1,Ted Christopher
-,m,1,Ted Costa
-Nurse,m,2,Ted Maher
-Canadian coach,m,1,Ted Nolan
-American media mogul,m,1,Ted Turner
-Football player,m,1,Ted Washington
-American professional baseball player,m,1,Ted Williams
-Former Mayor of Jerusalem,m,1,Teddy Kollek
-Football cornerback,m,1,Terence Newman
-American actress,f,1,Teresa Graves
-Businesswoman,f,1,Teresa Heinz Kerry
-Musical artist,f,1,Teresa Williams
-Soccer player,f,1,Teresa Worbis
-,f,1,Teri Files
-American actress,f,1,Teri Garr
-,f,1,Teri ORourke
-Norwegian diplomat,m,2,Terje Roed-Larsen
-Football outside linebacker,m,2,Terrell Suggs
-Football player,m,1,Terrence Kiel
-American olympic athlete,m,1,Terrence Trammell
-Canadian musical artist,f,1,Terri Clark
-Football quarterback,m,1,Terry Bradshaw
-British screenwriter,m,1,Terry Gilliam
-Football coach,m,1,Terry Hoeppner
-,f,1,Terry Lynn Barton
-Former Governor of Virginia,m,3,Terry McAuliffe
-American executive,m,1,Terry Semel
-American basketball coach,m,2,Terry Stotts
-Human rights activist,m,1,Teruaki Masumoto
-Executive,m,1,Terunobu Maeda
-Minister for the Olympics,f,1,Tessa Jowell
-American singer,m,1,Tex Ritter
-South African Politician,m,5,Thabo Mbeki
-American basketball coach,m,1,Thad Matta
-Former Prime Minister of Thailand,m,6,Thaksin Shinawatra
-Singer-songwriter,f,1,Thalia
-,m,1,Thanongsak Tuvinan
-Greek filmmaker,m,1,Theo Angelopoulos
-President of the Chicago Cubs,m,2,Theo Epstein
-,m,3,Theodore Tweed Roosevelt
-,f,1,Theresa Gattung
-British Prime Minister,f,3,Theresa May
-,m,3,Thierry Falise
-French Politician,m,1,Thierry Mariani
-Counsel,m,2,Thomas Birmingham
-Professional golfer,m,2,Thomas Bjorn
-,m,1,Thomas Cloyd
-,m,1,Thomas Daily
-Saint,m,1,Thomas Day
-Tennis player,m,1,Thomas Enqvist
-Commanding officer,m,4,Thomas Fargo
-American political scientist,m,1,Thomas Ferguson
-Football player,m,1,Thomas Franklin
-Radio host,m,1,Thomas Gottschalk
-,m,1,Thomas Haeggstroem
-"High school in Chicago, Illinois",m,1,Thomas Kelly
-Austrian diplomat,m,1,Thomas Klestil
-American swimmer,m,2,Thomas Malchow
-,m,1,Thomas Manger
-American attorney at law,m,1,Thomas Mesereau Jr
-American actor,m,9,Thomas OBrien
-Olympic swimmer,m,3,Thomas Rupprath
-,m,1,Thomas Scavone
-United States Senator,m,1,Thomas Stewart
-German boxer,m,1,Thomas Ulrich
-Musical artist,m,1,Thomas Van Essen
-,m,1,Thomas Watjen
-,m,1,Thomas Weston
-American swimmer,m,1,Thomas Wilkens
-Painter,m,2,Thomas Wyman
-Danish Politician,m,1,Thor Pedersen
-American actress,f,1,Tia Mowry
-Basketball player,m,1,Tiago Splitter
-Chinese actor,m,1,Tian Liang
-Chinese film director,m,1,Tian Zhuang Zhuang
-American actress,f,1,Tiffany Limos
-American professional golfer,m,23,Tiger Woods
-American actor,m,4,Tim Allen
-American actor,m,1,Tim Blake Nelson
-American bounty hunter,m,2,Tim Chapman
-American actor,m,3,Tim Conway
-,m,1,Tim Curley
-Actor,m,2,Tim Curry
-American basketball player,m,4,Tim Duncan
-American basketball coach,m,2,Tim Floyd
-British tennis player,m,19,Tim Henman
-Soccer player,m,1,Tim Howard
-American composer,m,1,Tim Jones
-German olympic athlete,m,1,Tim Lobinger
-Brazilian journalist,m,1,Tim Lopes
-American actor,m,1,Tim Matheson
-,m,1,Tim Norbeck
-Former Governor of Minnesota,m,1,Tim Pawlenty
-American actor,m,5,Tim Robbins
-Baseball player,m,1,Tim Salmon
-American basketball coach,m,1,Tim Welsh
-,m,1,Timbul Silaen
-Farmer,m,1,Timothy Coughlin
-American figure skater,m,1,Timothy Goebel
-,m,1,Timothy McVeigh
-Franchiser,m,1,Timothy Rigas
-Former United States Senator,m,1,Timothy Wirth
-American actress,f,1,Tina Andrews
-Journalist,f,1,Tina Brown
-,f,1,Tina Conner
-American actress,f,1,Tina Fey
-Tennis player,f,1,Tina Pisnik
-American singer,f,1,Tina Sinatra
-American professional baseball player,m,1,Tino Martinez
-American actress,f,2,Tippi Hedren
-Ethiopian athlete,f,1,Tirunesh Dibaba
-American singer-songwriter,m,1,Toby Keith
-,m,1,Tocker Pudwill
-American film director,m,4,Todd Haynes
-Canadian basketball player,m,1,Todd MacCulloch
-,m,1,Todd Parrott
-,m,1,Todd Petit
-Australian tennis player,m,1,Todd Reid
-American magician,m,1,Todd Robbins
-,m,1,Todd Wike
-Football player,m,1,Tom Amstutz
-Football quarterback,m,2,Tom Brady
-Sportscaster,m,1,Tom Brennan
-,m,1,Tom Christerson
-Football coach,m,1,Tom Coughlin
-,m,2,Tom Coverdale
-,m,4,Tom Craddick
-Irish seaman,m,5,Tom Crean
-American actor,m,10,Tom Cruise
-,m,1,Tom Curley
-Former United States Senator,m,25,Tom Daschle
-Former United States Representative,m,1,Tom DeLay
-Comedian,m,1,Tom Foy
-Coach,m,1,Tom Gamboa
-American professional baseball player,m,2,Tom Glavine
-American actor,m,10,Tom Hanks
-,m,1,Tom Hanusik
-Former United States Senator,m,5,Tom Harkin
-American basketball coach,m,1,Tom Izzo
-Welsh singer,m,2,Tom Jones
-Baseball manager,m,1,Tom Kelly
-German politician,m,1,Tom Koenigs
-Former United States Representative,m,1,Tom Lantos
-U.S. Representative,m,1,Tom McClintock
-Iowa Attorney General,m,1,Tom Miller
-American Politician,m,1,Tom Moss
-American actor,m,1,Tom OBrien
-Former football player,m,1,Tom Osborne
-American television actor,m,1,Tom Poston
-American actor,m,3,Tom Reilly
-Former United States Secretary of Homeland Security,m,33,Tom Ridge
-Football punter,m,1,Tom Rouen
-New Zealand sailor,m,1,Tom Schnackenberg
-Australian rules footballer,m,1,Tom Scully
-American film actor,m,1,Tom Sizemore
-American comedian,m,1,Tom Smothers
-American entrepreneur,m,1,Tom Tunney
-Former United States Secretary of Agriculture,m,1,Tom Vilsack
-American professional golfer,m,3,Tom Watson
-Politician,m,1,Tom Welch
-Racing driver,m,1,Tomas Enge
-,m,1,Tomas Malik
-American basketball coach,m,1,Tommy Amaker
-General,m,16,Tommy Franks
-American-German tennis player,m,6,Tommy Haas
-Baseball manager,m,1,Tommy Lasorda
-Football player,m,1,Tommy Lewis
-Football quarterback,m,1,Tommy Maddox
-Spanish tennis player,m,3,Tommy Robredo
-American musical artist,m,1,Tommy Shane Steiner
-Former Governor of Wisconsin,m,10,Tommy Thompson
-Football coach,m,1,Tommy Tubberville
-Japanese backstroke swimmer,f,2,Tomoko Hagiwara
-Backstroke swimmer,m,1,Tomomi Morita
-Country in Oceania,m,1,Tonga
-American singer-songwriter,f,3,Toni Braxton
-American Politician,f,1,Toni Jennings
-Italian poet,m,1,Tonino Guerra
-Chairman of the National Sports Committee of Indonesia,m,1,Tono Suratman
-American singer,m,4,Tony Bennett
-Former British Prime Minister,m,144,Tony Blair
-Member of the Canadian House of Commons,m,1,Tony Clement
-,m,1,Tony Cummo
-American film actor,m,2,Tony Curtis
-Actor,m,1,Tony Elias
-Entrepreneur,m,1,Tony Fernandes
-American professional baseball player,m,1,Tony LaRussa
-Basketball player,m,2,Tony Parker
-American actor,m,4,Tony Shalhoub
-American race car driver,m,6,Tony Stewart
-Tyler Boyd's mother,f,1,Tonya Payne
-Japanese racing driver,m,1,Tora Takagi
-American singer-songwriter,f,1,Tori Amos
-Olympic athlete,f,2,Torri Edwards
-Japanese professional golfer,m,1,Toshi Izawa
-Japanese economist,m,3,Toshihiko Fukui
-Japanese Politician,m,1,Toshimitsu Motegi
-Coach,m,1,Toutai Kefu
-American actress,f,2,Tracee Ellis Ross
-,m,1,Tracee Treadwell
-American basketball player,m,2,Tracy McGrady
-Makeup artist,f,1,Tracy Wyle
-Football wide receiver,m,1,Travis Rudolph
-Former United States Senator,m,16,Trent Lott
-British-Trinidadian journalist,m,1,Trevor McDonald
-Author,m,1,Trevor Watson
-,f,1,Trisha Meili
-,f,1,Trista Rehn
-Actor,m,1,Tristan Gretzky
-Football quarterback,m,1,Troy Aikman
-American film actor,m,1,Troy Garity
-Basketball player,m,1,Troy Hudson
-,m,1,Troy Jenkins
-Football strong safety,m,1,Troy Polamalu
-American basketball coach,f,1,Trudi Lacey
-,m,2,Tsutomu Takebe
-American basketball coach,m,3,Tubby Smith
-Turkish soccer player,m,1,Tuncay Sanli
-Former Chief Executive of Hong Kong,m,9,Tung Chee-hwa
-Football coach,m,1,Turner Gill
-Ice hockey player,m,1,Turner Stevenson
-American lawyer,m,1,Ty Votaw
-,f,1,Tyler Grillo
-American bicycler,m,2,Tyler Hamilton
-American television personality,f,2,Tyra Banks
-,m,2,Tyron Garner
-,m,1,Tyrone Medley
-Israeli tennis player,f,1,Tzipora Obziler
-,m,1,Uday Hussein
-,m,1,Ulrich Kueperkoch
-American actress,f,3,Uma Thurman
-,m,1,Uri Lopolianski
-Indian film actress,f,1,Urmila Matondkar
-,m,1,Uthai Pimchaichon
-Israeli professor,m,1,Uzi Even
-Former Tourism minister of Israel,m,1,Uzi Landau
-Airport in the Czech Republic,m,9,Vaclav Havel
-Former President of the Czech Republic,m,2,Vaclav Klaus
-Olympic athlete,m,1,Vadim Devyatovskiy
-,m,1,Vadim Strogalev
-Azerbaijani-Russian businessman,m,1,Vagit Alekperov
-Commissioner of the Big East,f,1,Val Ackerman
-Former President of Lithuania,m,2,Valdas Adamkus
-Italian film actress,f,1,Valentina Cervi
-Cosmonaut,f,1,Valentina Tereshkova
-Italian motorcycle road racer,m,6,Valentino Rossi
-Russian ice hockey player,m,1,Valeri Bure
-American actress,f,2,Valerie Harper
-,f,1,Valerie Thwaites
-Former President of France,m,6,Valery Giscard dEstaing
-,m,1,Valorie Brabazon
-,m,1,Van Hilley
-Italian-Spanish actress,f,4,Vanessa Incontrada
-Kobe Bryant's wife,f,1,Vanessa Laine
-Actress,f,5,Vanessa Redgrave
-American singer,f,3,Vanessa Williams
-,m,1,Vassilis Xiros
-Turkish Politician,m,1,Vecdi Gonul
-American tennis player,f,17,Venus Williams
-American professional boxer,m,1,Vernon Forrest
-American film actress,f,1,Veronica Lake
-,f,1,Viara Vike-Freiberga
-Mexican singer,m,5,Vicente Fernandez
-Former President of Mexico,m,32,Vicente Fox
-,m,1,Vicente Fox de la Concha
-Actress,f,2,Vicki Zhao Wei
-Canadian actor,m,1,Victor Garber
-Romanian tennis player,m,1,Victor Hanescu
-Canadian ice dancer,m,1,Victor Kraatz
-Businesswoman,f,3,Victoria Beckham
-American communications consultant,f,5,Victoria Clarke
-Norwegian diplomat,m,2,Vidar Helgesen
-Indian diplomat,m,1,Vijay Nambiar
-Former President of Ukraine,m,1,Viktor Yushchenko
-American actor,m,2,Vin Diesel
-American basketball player,m,4,Vince Carter
-Football coach,m,1,Vince Dooley
-American singer-songwriter,m,2,Vince Gill
-American actor,m,1,Vince Vaughan
-,m,7,Vincent Brooks
-Former Mayor of Providence,m,1,Vincent Cianci Jr
-Actor,m,3,Vincent Gallo
-Letter carrier,m,1,Vincent Sombrotto
-Tennis player,m,1,Vincent Spadea
-British actor,m,1,Vinnie Jones
-American actress,f,1,Viola Davis
-,f,1,Virgina Ruano Pascal
-Mayor of Kiev,m,4,Vitali Klitschko
-American actress,f,2,Vivica Fox
-Russian-Soviet politician,m,1,Vladimir Golovlyov
-Politician,m,1,Vladimir Meciar
-Russian President,m,49,Vladimir Putin
-Former Prime Minister of the Czech Republic,m,3,Vladimir Spidla
-Russian Politician,m,1,Vladimir Ustinov
-Belarusian tennis player,m,2,Vladimir Voltchkov
-Political leader,m,3,Vladimiro Montesinos
-Serbian Politician,m,7,Vojislav Kostunica
-Former Deputy Prime Minister of Serbia,m,1,Vojislav Seselj
-Ice hockey coach,m,1,Vyacheslav Fetisov
-,m,1,Vytas Danelius
-Film director,m,1,Walid Al-Awadi
-,m,1,Wallace Capel
-Basketball player,m,1,Wally Szczerbiak
-American mixed martial artist,m,1,Walt Harris
-American businessman,m,1,Walter Annenberg
-Former Vice President of the United States,m,10,Walter Mondale
-American screenwriter,m,1,Walter Woods
-,m,1,Wan Yanhai
-,f,1,Wanda Ilene Barzee
-,f,1,Wanda de la Jesus
-Singer-songwriter,m,1,Wang Fei
-,f,1,Wang Hailan
-,f,1,Wang Nan
-Foreign Minister of the People's Republic of China,m,2,Wang Yi
-Chinese diplomat,m,3,Wang Yingfan
-Football player,m,1,Ward Cuff
-American actor,m,2,Warren Beatty
-American business magnate,m,3,Warren Buffett
-Costa Rican soccer player,m,1,Warren Granados
-Member of the Australian House of Representatives,m,1,Warren Truss
-Former American senator,m,1,Wayne Allard
-American actor,m,1,Wayne Brady
-South African tennis player,m,5,Wayne Ferreira
-Ice hockey player,m,4,Wayne Gretzky
-American singer,m,1,Wayne Newton
-Chinese autonomous region,f,1,Wei Wu
-American scientist,m,1,Wen Ho Lee
-Former Premier of the People's Republic of China,m,13,Wen Jiabao
-Football player,m,1,Wendell Bryant
-Actress,f,1,Wendy Kennedy
-Businesswoman,f,1,Wendy Selig
-Player,m,1,Werner Schlager
-American film director,m,1,Wes Craven
-Political figure,m,2,Wesley Clark
-American actress,f,1,Whoopi Goldberg
-,m,1,Wilbert Elki Meza Majino
-,m,1,Wilbert Foy
-Venezuelan soccer player,m,1,Wilfredo Moreno
-American actor,m,1,Will Ferrell
-,m,1,Will Ofenheusle
-Novelist,m,1,Will Self
-American actor,m,2,Will Smith
-Singer-songwriter,m,1,Will Young
-American law enforcement officer,m,3,William Bratton
-American Politician,m,4,William Bulger
-British engineer,m,2,William Burns
-,m,1,William Cocksedge
-Former U.S. Representative,m,1,William Delahunt
-British satirist,m,7,William Donaldson
-Automaker company,m,7,William Ford Jr
-,m,1,William Genego
-American professional boxer,m,1,William Harrison
-Kathy Hochul's son,m,2,William Hochul
-American actor,m,1,William Hurt
-Chemist,m,1,William Hyde
-Botanist,m,1,William Jackson
-American professional boxer,m,1,William Joppy
-American actor,m,5,William Macy
-American singer-songwriter,m,2,William Martin
-American architect,m,1,William McDonough
-Publishing company,m,1,William Morrow
-,m,1,William Murabito
-Film director,m,1,William Nessen
-,m,1,William Overlin
-Former football player,m,1,William Perry
-Judge,m,1,William Pryor Jr
-,m,1,William Ragland
-Former USA Associate Justice of the Supreme Court,m,2,William Rehnquist
-American entrepreneur,m,1,William Rosenberg
-Canadian actor,m,1,William Shatner
-,m,1,William Swor
-,m,1,William Umbach
-American attorney,m,1,William Webster
-American musician,m,1,Willie Nelson
-American businessman,m,1,Willie Wilson
-Baseball player,m,1,Willis Roberts
-Donovan McNabb's mother,f,1,Wilma McNabb
-Professional baseball player,m,1,Wilson Alvarez
-,m,1,Wilton Gregory
-Dutch politician,m,1,Wim Duisenberg
-Burmese businessman,m,4,Win Aung
-American actress,f,24,Winona Ryder
-Former British Prime Minister,m,1,Winston Churchill
-German film director,m,1,Wolfgang Becker
-German Politician,m,1,Wolfgang Clement
-Austrian Violinist,m,1,Wolfgang Schneiderhan
-Austrian Politician,m,4,Wolfgang Schuessel
-Austrian figure skater,m,1,Wolfgang Schwarz
-,m,1,Woodrow Stanley
-American director,m,5,Woody Allen
-Chinese swimmer,m,1,Wu Peng
-Former Vice Premier of the State Council of China,f,3,Wu Yi
-Governor of the Boston Celtics,m,1,Wycliffe Grousbeck
-Former President of East Timor,m,5,Xanana Gusmao
-Belgian tennis player,m,5,Xavier Malisse
-Economist,m,1,Xiang Huaicheng
-Chinese track and field athlete,m,1,Xiang Liu
-Entomologist,m,1,Xiang Xu
-Ecuadorean physician,f,1,Ximena Bohorquez
-Author,m,1,Yale Kamisar
-Ukrainian swimmer,f,1,Yana Klochkova
-Researcher,f,1,Yang Hee Kim
-Human rights activist,m,1,Yang Jianli
-Yu Shyi-kun's wife,f,1,Yang Pao-yu
-Canadian author,m,2,Yann Martel
-,m,1,Yannos Papantoniou
-Chinese basketball player,m,8,Yao Ming
-Turkish Politician,m,4,Yasar Yakis
-,m,1,Yasein Taher
-Former Minister of Finance of India,m,7,Yashwant Sinha
-Former PLO Chairman,m,8,Yasser Arafat
-Japanese diplomat,m,1,Yasushi Akashi
-,m,1,Yasushi Chimura
-Russian film actress,f,1,Yekaterina Guseva
-Russian tennis player,m,4,Yevgeny Kafelnikov
-,m,1,Yingfan Wang
-Chinese former child actor,m,1,Yishan Zhang
-Cuban athlete,m,1,Yoelbi Quesada
-Baseball catcher,m,1,Yogi Berra
-Japanese multimedia artist,f,6,Yoko Ono
-American activist,f,1,Yolanda King
-,m,1,Yoo Jay-Kun
-South Korean tennis player,m,1,Yoon Jeong Cho
-,m,1,Yoon Jin-Sik
-,m,1,Yoon Won-Sik
-South Korean Politician,m,1,Yoon Young-kwan
-Japanese Politician,f,14,Yoriko Kawaguchi
-Mexican professional boxer,m,1,Yory Boy Campas
-Japanese professional baseball player,m,1,Yoshiyuki Kamei
-Israeli Politician,m,2,Yossi Beilin
-American Politician,f,1,Young Kim
-Taiwanese Politician,m,4,Yu Shyi-kun
-Kaoru Hasuike's wife,f,2,Yukiko Okudo
-Former Prime Minister of Japan,m,1,Yukio Hatoyama
-Executive Director of the UN Office on Drugs and Crime,m,2,Yuri Fedotov
-Former Mayor of Moscow,m,1,Yuri Luzhkov
-Cosmonaut,m,2,Yuri Malenchenko
-Japanese professional golfer,m,1,Yusaku Miyazato
-,m,1,Yusuf Misbac
-Indian cricketer,m,1,Yuvraj Singh
-Canadian diplomat,m,1,Yves Brodeur
-American ice hockey player,m,1,Zach Parise
-,m,1,Zach Pillar
-,m,1,Zach Safrin
-Former Prime Minister of Pakistan,m,2,Zafarullah Khan Jamali
-King of Afghanistan,m,1,Zahir Shah
-Indonesian legislator,m,1,Zaini Abdullah
-Lawyer,f,1,Zakia Hakki
-Diplomat,m,1,Zalmay Khalilzad
-,f,1,Zara Akhmadova
-,f,2,Zarai Toledo
-,m,1,Zavad Zarif
-,m,1,Zdravko Mucic
-Basketball player,m,1,Zeljko Rebraca
-,f,1,Zelma Novelo
-Chinese Politician,m,1,Zeng Qinghong
-,m,2,Zhang Wenkang
-Chinese film director,m,1,Zhang Yimou
-Chinese actress,f,4,Zhang Ziyi
-Chinese scientist,m,1,Zhong Nanshan
-Former Premier of the People's Republic of China,m,9,Zhu Rongji
-Coach,m,3,Zico
-Football coach,m,6,Zinedine Zidane
-,m,1,Ziwang Xu
-Television personality,f,1,Zoe Ball
-Politician,m,4,Zoran Djindjic
-Vojislav Koštunica's ex-wife,f,1,Zorica Radovic
-Pakistani cricketer,m,1,Zulfiqar Ahmed
-,f,1,Zumrati Juma
-Painter,m,1,Zurab Tsereteli
-Basketball center,m,1,Zydrunas Ilgauskas
diff --git a/site/content/pages/datasets/vgg_face2/assets/lfw_synthetic.jpg b/site/content/pages/datasets/vgg_face2/assets/lfw_synthetic.jpg
deleted file mode 100644
index c2a34043..00000000
--- a/site/content/pages/datasets/vgg_face2/assets/lfw_synthetic.jpg
+++ /dev/null
diff --git a/site/content/pages/datasets/vgg_face2/index.md b/site/content/pages/datasets/vgg_face2/index.md
index 718b879b..acf2476e 100644
--- a/site/content/pages/datasets/vgg_face2/index.md
+++ b/site/content/pages/datasets/vgg_face2/index.md
@@ -3,31 +3,27 @@
 status: draft
 title: VGG Face 2 Dataset
 desc: VGG Face 2 Dataset
-slug: vgg_face2
+slug: brainwash
 published: 2019-2-23
 updated: 2019-2-23
 authors: Adam Harvey
 
 ------------
 
-# VGG Face 2
+## VGG Face 2
 
-+ Years: TBD
-+ Images: TBD
-+ Identities: TBD
-+ Origin: TBD
-+ Funding: IARPA
+### sidebar
+### end sidebar
 
+[ page under development ]
 
-![fullwidth:...](assets/vgg_face2_index.gif)
+{% include 'dashboard.html' %}
 
-### Analysis
+-----
 
-- The VGG Face 2 dataset includes approximately 1,331 actresses, 139 presidents, 16 wives, 3 husbands, 2 snooker player, and 1 guru
-
-
-### Names and descriptions
+### (ignore) research notes
 
+- The VGG Face 2 dataset includes approximately 1,331 actresses, 139 presidents, 16 wives, 3 husbands, 2 snooker player, and 1 guru
 - The original VGGF2 name list has been updated with the results returned from Google Knowledge
 - Names with a similarity score greater than 0.75 where automatically updated. Scores computed using `import difflib; seq = difflib.SequenceMatcher(a=a.lower(), b=b.lower()); score = seq.ratio()`
 - The 97 names with a score of 0.75 or lower were manually reviewed and includes name changes validating using Wikipedia.org results for names such as "Bruce Jenner" to "Caitlyn Jenner", spousal last-name changes, and discretionary changes to improve search results such as combining nicknames with full name when appropriate, for example changing "Aleksandar Petrović" to "Aleksandar 'Aco' Petrović" and minor changes such as "Mohammad Ali" to "Muhammad Ali"
@@ -43,5 +39,4 @@ authors: Adam Harvey
 - find examples, citations, and screenshots of useage
 - find list of companies using it for table
 - create montages of the dataset, like LFW
-- create right to removal information
-
+- create right to removal information
\ No newline at end of file
diff --git a/site/content/pages/datasets/viper/index.md b/site/content/pages/datasets/viper/index.md
index 6a21efda..291b2136 100644
--- a/site/content/pages/datasets/viper/index.md
+++ b/site/content/pages/datasets/viper/index.md
@@ -1,6 +1,6 @@
 ------------
 
-status: published
+status: draft
 title: VIPeR
 desc: <span class="dataset-name">VIPeR</span> is a person re-identification dataset of images captured at UC Santa Cruz in 2007
 subdesc: VIPeR contains 1,264 images and 632 persons on the UC Santa Cruz campus and is used to train person re-identification algorithms for surveillance
@@ -14,28 +14,15 @@ authors: Adam Harvey
 
 ------------
 
-### sidebar
-
-+ Published: 2007
-+ Images: 1,264
-+ Persons: 632
-+ Created by: UC Santa Cruz
-
 ## VIPeR Dataset
 
-(PAGE UNDER DEVELOPMENT)
+### sidebar
+### end sidebar
+
+[ page under development ]
 
 *VIPeR (Viewpoint Invariant Pedestrian Recognition)* is a dataset of pedestrian images captured at University of California Santa Cruz in 2007. Accoriding to the reserachers 2 "cameras were placed in different locations in an academic setting and subjects were notified of the presence of cameras, but were not coached or instructed in any way."
 
 VIPeR is amongst the most widely used publicly available person re-identification datasets. In 2017 the VIPeR dataset was combined into a larger person re-identification created by the Chinese University of Hong Kong called PETA (PEdesTrian Attribute).
 
-
-{% include 'chart.html' %}
-
-{% include 'piechart.html' %}
-
-{% include 'map.html' %}
-
-{% include 'supplementary_header.html' %}
-
-{% include 'citations.html' %}
\ No newline at end of file
+{% include 'dashboard.html' %}
\ No newline at end of file
diff --git a/site/content/pages/datasets/youtube_celebrities/index.md b/site/content/pages/datasets/youtube_celebrities/index.md
index a81974b5..49bfaa2e 100644
--- a/site/content/pages/datasets/youtube_celebrities/index.md
+++ b/site/content/pages/datasets/youtube_celebrities/index.md
@@ -10,31 +10,23 @@ authors: Adam Harvey
 
 ------------
 
-# YouTube Celebrities
+## YouTube Celebrities
 
-+ Years: TBD
-+ Images: TBD
-+ Identities: TBD
-+ Origin: YouTube.com
-+ Funded by: CIA, US Army
+### sidebar
+### end sidebar
 
+[ page under development ]
 
-TODO
+{% include 'dashboard.html' %}
 
+#### Notes...
 
---------
-
-RESEARCH below these lines
-
---------
-
-> Selected dataset sequences: (a) MBGC, (b) CMU MoBo, (c) First
+- Selected dataset sequences: (a) MBGC, (b) CMU MoBo, (c) First
 Honda/UCSD, and (d) YouTube Celebrities.
-> This research is supported by the Central Intelligence Agency, the Biometrics
+- This research is supported by the Central Intelligence Agency, the Biometrics
 Task Force and the Technical Support Working Group through US Army contract
 W91CRB-08-C-0093. The opinions, (cid:12)ndings, and conclusions or recommendations
 expressed in this publication are those of the authors and do not necessarily re(cid:13)ect
 the views of our sponsors.
-
 - in "Face Recognition From Video Draft 17"
 - International Journal of Pattern Recognition and Artifcial Intelligence WorldScientific Publishing Company
\ No newline at end of file
diff --git a/site/content/pages/research/00_introduction/index.md b/site/content/pages/research/00_introduction/index.md
index bcb3d57c..91b87b18 100644
--- a/site/content/pages/research/00_introduction/index.md
+++ b/site/content/pages/research/00_introduction/index.md
@@ -15,7 +15,15 @@ authors: Megapixels
 + Posted: Dec. 15
 + Author: Adam Harvey
 
+Facial recognition is a scam. 
 
+During the last 20 years commericial, academic, and governmental agencies have promoted the false dream of a future with face recognition. This essay debunks the popular myth that such a thing ever existed.
+
+There is no such thing as *face recognition*. For the last 20 years, government agencies, commercial organizations, and academic institutions have played the public as a fool, selling a roadmap of the future that simply does not exist. Facial recognition, as it is currently defined, promoted, and sold to the public, government, and commercial sector is a scam.
+
+Committed to developing robust solutions with superhuman accuracy, the industry has repeatedly undermined itself by never actually developing anything close to "face recognition".
+
+There is only biased feature vector clustering and probabilistic thresholding.
 
 ### Motivation
 
diff --git a/site/content/pages/test/gallery.md b/site/content/pages/test/gallery.md
index 6992d142..0c411add 100644
--- a/site/content/pages/test/gallery.md
+++ b/site/content/pages/test/gallery.md
@@ -17,3 +17,9 @@ authors: Megapixels
 ![Modal image 1](assets/man.jpg)
 ![Modal image 2](assets/man.jpg)
 ![Modal image 3](assets/man.jpg)
+
+## Test table
+
+| Col1 | Col2 | Col3 |
+|---|---|---|
+| Content1 | Content2 | Content3 |
\ No newline at end of file
diff --git a/site/datasets/verified/50_people_one_question.csv b/site/datasets/verified/50_people_one_question.csv
new file mode 100644
index 00000000..ab3b8956
--- /dev/null
+++ b/site/datasets/verified/50_people_one_question.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,50 People One Question,50_people_one_question,0.0,0.0,,,,main,,Merging Pose Estimates Across Space and Time,2013
diff --git a/site/datasets/verified/adience.csv b/site/datasets/verified/adience.csv
new file mode 100644
index 00000000..deadc399
--- /dev/null
+++ b/site/datasets/verified/adience.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,Adience,adience,0.0,0.0,,,,main,,Age and Gender Estimation of Unfiltered Faces,2014
diff --git a/site/datasets/verified/afad.csv b/site/datasets/verified/afad.csv
new file mode 100644
index 00000000..b67ff97a
--- /dev/null
+++ b/site/datasets/verified/afad.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,AFAD,afad,0.0,0.0,,,,main,,Ordinal Regression with Multiple Output CNN for Age Estimation,2016
diff --git a/site/datasets/verified/afw.csv b/site/datasets/verified/afw.csv
new file mode 100644
index 00000000..b17652e3
--- /dev/null
+++ b/site/datasets/verified/afw.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,AFW,afw,0.0,0.0,,,,main,,"Face detection, pose estimation, and landmark localization in the wild",2012
diff --git a/site/datasets/verified/agedb.csv b/site/datasets/verified/agedb.csv
new file mode 100644
index 00000000..ad90a985
--- /dev/null
+++ b/site/datasets/verified/agedb.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,AgeDB,agedb,0.0,0.0,,,,main,,"AgeDB: The First Manually Collected, In-the-Wild Age Database",2017
diff --git a/site/datasets/verified/alert_airport.csv b/site/datasets/verified/alert_airport.csv
new file mode 100644
index 00000000..6fa30c1f
--- /dev/null
+++ b/site/datasets/verified/alert_airport.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,ALERT Airport,alert_airport,0.0,0.0,,,,main,,"A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets",2018
diff --git a/site/datasets/verified/appa_real.csv b/site/datasets/verified/appa_real.csv
new file mode 100644
index 00000000..a877dd82
--- /dev/null
+++ b/site/datasets/verified/appa_real.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,APPA-REAL,appa_real,0.0,0.0,,,,main,,Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database,2017
diff --git a/site/datasets/verified/awe_ears.csv b/site/datasets/verified/awe_ears.csv
new file mode 100644
index 00000000..1959b962
--- /dev/null
+++ b/site/datasets/verified/awe_ears.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,AWE Ears,awe_ears,0.0,0.0,,,,main,,Ear Recognition: More Than a Survey,2017
diff --git a/site/datasets/verified/bbc_pose.csv b/site/datasets/verified/bbc_pose.csv
new file mode 100644
index 00000000..5926c85a
--- /dev/null
+++ b/site/datasets/verified/bbc_pose.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,BBC Pose,bbc_pose,0.0,0.0,,,,main,,Automatic and Efficient Human Pose Estimation for Sign Language Videos,2013
diff --git a/site/datasets/verified/bpad.csv b/site/datasets/verified/bpad.csv
new file mode 100644
index 00000000..bdf32861
--- /dev/null
+++ b/site/datasets/verified/bpad.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,BPAD,bpad,0.0,0.0,,,,main,,Describing people: A poselet-based approach to attribute classification,2011
diff --git a/site/datasets/verified/brainwash.csv b/site/datasets/verified/brainwash.csv
new file mode 100644
index 00000000..628ca090
--- /dev/null
+++ b/site/datasets/verified/brainwash.csv
@@ -0,0 +1,5 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,Brainwash,brainwash,0.0,0.0,,,,main,,End-to-End People Detection in Crowded Scenes,2016
+1,China,Brainwash,brainwash,39.9922379,116.30393816,Peking University,edu,7e915bb8e4ada4f8d261bc855a4f587ea97764ca,citation,,People detection in crowded scenes via regional-based convolutional network,2016
+2,China,Brainwash,brainwash,28.2290209,112.99483204,"National University of Defense Technology, China",mil,591a4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b,citation,https://pdfs.semanticscholar.org/591a/4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b.pdf,A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering,2017
+3,China,Brainwash,brainwash,28.2290209,112.99483204,"National University of Defense Technology, China",mil,b02d31c640b0a31fb18c4f170d841d8e21ffb66c,citation,,Localized region context and object feature fusion for people head detection,2016
diff --git a/site/datasets/verified/caltech_10k_web_faces.csv b/site/datasets/verified/caltech_10k_web_faces.csv
new file mode 100644
index 00000000..c86cce93
--- /dev/null
+++ b/site/datasets/verified/caltech_10k_web_faces.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,Caltech 10K Web Faces,caltech_10k_web_faces,0.0,0.0,,,,main,,Pruning training sets for learning of object categories,2005
diff --git a/site/datasets/verified/caltech_crp.csv b/site/datasets/verified/caltech_crp.csv
new file mode 100644
index 00000000..d858c8a7
--- /dev/null
+++ b/site/datasets/verified/caltech_crp.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,Caltech CRP,caltech_crp,0.0,0.0,,,,main,,Fine-grained classification of pedestrians in video: Benchmark and state of the art,2015
diff --git a/site/datasets/verified/casia_webface.csv b/site/datasets/verified/casia_webface.csv
new file mode 100644
index 00000000..fe39fac8
--- /dev/null
+++ b/site/datasets/verified/casia_webface.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,CASIA Webface,casia_webface,0.0,0.0,,,,main,,Learning Face Representation from Scratch,2014
diff --git a/site/datasets/verified/celeba.csv b/site/datasets/verified/celeba.csv
new file mode 100644
index 00000000..342dcbbf
--- /dev/null
+++ b/site/datasets/verified/celeba.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,CelebA,celeba,0.0,0.0,,,,main,,Deep Learning Face Attributes in the Wild,2015
diff --git a/site/datasets/verified/coco.csv b/site/datasets/verified/coco.csv
new file mode 100644
index 00000000..0c19b8cf
--- /dev/null
+++ b/site/datasets/verified/coco.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,COCO,coco,0.0,0.0,,,,main,,Microsoft COCO: Common Objects in Context,2014
diff --git a/site/datasets/verified/cofw.csv b/site/datasets/verified/cofw.csv
new file mode 100644
index 00000000..7bd9e598
--- /dev/null
+++ b/site/datasets/verified/cofw.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,COFW,cofw,0.0,0.0,,,,main,,Robust Face Landmark Estimation under Occlusion,2013
diff --git a/site/datasets/verified/cuhk_campus_03.csv b/site/datasets/verified/cuhk_campus_03.csv
new file mode 100644
index 00000000..cdfd115d
--- /dev/null
+++ b/site/datasets/verified/cuhk_campus_03.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,CUHK03 Campus,cuhk_campus_03,0.0,0.0,,,,main,,Human Reidentification with Transferred Metric Learning,2012
diff --git a/site/datasets/verified/cuhk_train_station.csv b/site/datasets/verified/cuhk_train_station.csv
new file mode 100644
index 00000000..675e473b
--- /dev/null
+++ b/site/datasets/verified/cuhk_train_station.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,CUHK Train Station Dataset,cuhk_train_station,0.0,0.0,,,,main,,Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents,2012
diff --git a/site/datasets/verified/duke_mtmc.csv b/site/datasets/verified/duke_mtmc.csv
new file mode 100644
index 00000000..929b84c1
--- /dev/null
+++ b/site/datasets/verified/duke_mtmc.csv
@@ -0,0 +1,181 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,Duke MTMC,duke_mtmc,0.0,0.0,,,,main,,"Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking",2016
+1,United States,Duke MTMC,duke_mtmc,35.9990522,-78.9290629,Duke University,edu,c9b98c98357a154bceb2287c427c5fa9c17b4a07,citation,https://arxiv.org/pdf/1803.05872.pdf,Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification,2018
+2,United States,Duke MTMC,duke_mtmc,42.3614256,-71.0812092,Microsoft Research Asia,company,1e2f07f7231eef629c78cba4ada0c9be29d77254,citation,,Group Re-Identification: Leveraging and Integrating Multi-Grain Information,2018
+3,China,Duke MTMC,duke_mtmc,31.20081505,121.42840681,Shanghai Jiao Tong University,edu,1e2f07f7231eef629c78cba4ada0c9be29d77254,citation,,Group Re-Identification: Leveraging and Integrating Multi-Grain Information,2018
+4,China,Duke MTMC,duke_mtmc,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,1e2f07f7231eef629c78cba4ada0c9be29d77254,citation,,Group Re-Identification: Leveraging and Integrating Multi-Grain Information,2018
+5,China,Duke MTMC,duke_mtmc,24.4399419,118.09301781,Xiamen University,edu,2788a2461ed0067e2f7aaa63c449a24a237ec341,citation,https://arxiv.org/pdf/1708.04896.pdf,Random Erasing Data Augmentation,2017
+6,United States,Duke MTMC,duke_mtmc,32.7768233,-117.0693407,"California State University, San Marcos",edu,9643dabbf1771d2d82ded2fde3baaa15a67f6e56,citation,,Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification,2018
+7,China,Duke MTMC,duke_mtmc,32.0565957,118.77408833,Nanjing University,edu,9643dabbf1771d2d82ded2fde3baaa15a67f6e56,citation,,Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification,2018
+8,United Kingdom,Duke MTMC,duke_mtmc,51.5247272,-0.03931035,Queen Mary University of London,edu,e323bbaef9ea9a6257b7464e4cc146d690d0d55b,citation,https://arxiv.org/pdf/1811.08400.pdf,Single-Label Multi-Class Image Classification by Deep Logistic Regression,2019
+9,China,Duke MTMC,duke_mtmc,28.2290209,112.99483204,"National University of Defense Technology, China",mil,59f357015054bab43fb8cbfd3f3dbf17b1d1f881,citation,https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf,Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks,2018
+10,United Kingdom,Duke MTMC,duke_mtmc,51.5231607,-0.1282037,University College London,edu,59f357015054bab43fb8cbfd3f3dbf17b1d1f881,citation,https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf,Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks,2018
+11,China,Duke MTMC,duke_mtmc,31.20081505,121.42840681,Shanghai Jiao Tong University,edu,a0dfc588cd1bc35a06734a31fca81e7adc94b940,citation,https://arxiv.org/pdf/1803.08580.pdf,Weighted Bilinear Coding over Salient Body Parts for Person Re-identification,2018
+12,United States,Duke MTMC,duke_mtmc,39.95472495,-75.15346905,Temple University,edu,a0dfc588cd1bc35a06734a31fca81e7adc94b940,citation,https://arxiv.org/pdf/1803.08580.pdf,Weighted Bilinear Coding over Salient Body Parts for Person Re-identification,2018
+13,China,Duke MTMC,duke_mtmc,23.0502042,113.39880323,South China University of Technology,edu,a0dfc588cd1bc35a06734a31fca81e7adc94b940,citation,https://arxiv.org/pdf/1803.08580.pdf,Weighted Bilinear Coding over Salient Body Parts for Person Re-identification,2018
+14,China,Duke MTMC,duke_mtmc,40.00229045,116.32098908,Tsinghua University,edu,a0dfc588cd1bc35a06734a31fca81e7adc94b940,citation,https://arxiv.org/pdf/1803.08580.pdf,Weighted Bilinear Coding over Salient Body Parts for Person Re-identification,2018
+15,China,Duke MTMC,duke_mtmc,30.672721,104.098806,University of Electronic Science and Technology of China,edu,ed2ba6448db8cf945ca24d4df11916c2c5c3edd1,citation,,Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing,2018
+16,China,Duke MTMC,duke_mtmc,30.19331415,120.11930822,Zhejiang University,edu,5b062562a8067baae045df1c7f5a8455d0363b5a,citation,https://arxiv.org/pdf/1810.06996.pdf,SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification,2018
+17,China,Duke MTMC,duke_mtmc,40.0044795,116.370238,Chinese Academy of Sciences,edu,5b062562a8067baae045df1c7f5a8455d0363b5a,citation,https://arxiv.org/pdf/1810.06996.pdf,SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification,2018
+18,China,Duke MTMC,duke_mtmc,38.88140235,121.52281098,Dalian University of Technology,edu,e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68,citation,,A novel two-stream saliency image fusion CNN architecture for person re-identification,2017
+19,United States,Duke MTMC,duke_mtmc,29.58333105,-98.61944505,University of Texas at San Antonio,edu,e8dac6b899e2be56b4d8b4b5bfb422eb1fe2cb68,citation,,A novel two-stream saliency image fusion CNN architecture for person re-identification,2017
+20,China,Duke MTMC,duke_mtmc,31.83907195,117.26420748,University of Science and Technology of China,edu,d4a5c9b2197b6bc476aa296b8d59515c9684e97d,citation,,CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification,2018
+21,United States,Duke MTMC,duke_mtmc,40.1019523,-88.2271615,UIUC,edu,c2a5f27d97744bc1f96d7e1074395749e3c59bc8,citation,https://arxiv.org/pdf/1804.05275.pdf,Horizontal Pyramid Matching for Person Re-identification,2019
+22,United States,Duke MTMC,duke_mtmc,37.8718992,-122.2585399,UC Berkeley,edu,8ba606d7667c50054d74083867230abbed755574,citation,https://arxiv.org/pdf/1811.01268.pdf,"ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale",2018
+23,United States,Duke MTMC,duke_mtmc,41.78468745,-87.60074933,University of Chicago,edu,8ba606d7667c50054d74083867230abbed755574,citation,https://arxiv.org/pdf/1811.01268.pdf,"ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale",2018
+24,United States,Duke MTMC,duke_mtmc,47.6423318,-122.1369302,Microsoft,company,8ba606d7667c50054d74083867230abbed755574,citation,https://arxiv.org/pdf/1811.01268.pdf,"ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale",2018
+25,China,Duke MTMC,duke_mtmc,30.491766,114.396237,South-Central University for Nationalities,edu,cbf5b3469c7216c37733efca6c2cdb94357b14a7,citation,,Person Re-identification Based on Feature Fusion and Triplet Loss Function,2018
+26,China,Duke MTMC,duke_mtmc,30.60903415,114.3514284,Wuhan University of Technology,edu,cbf5b3469c7216c37733efca6c2cdb94357b14a7,citation,,Person Re-identification Based on Feature Fusion and Triplet Loss Function,2018
+27,China,Duke MTMC,duke_mtmc,32.0565957,118.77408833,Nanjing University,edu,3b24dcb3a1ff4811386b3467943c0ccad266bc99,citation,https://arxiv.org/pdf/1811.08561.pdf,Adaptive Re-ranking of Deep Feature for Person Re-identification,2018
+28,Australia,Duke MTMC,duke_mtmc,-37.8087465,144.9638875,RMIT University,edu,3b24dcb3a1ff4811386b3467943c0ccad266bc99,citation,https://arxiv.org/pdf/1811.08561.pdf,Adaptive Re-ranking of Deep Feature for Person Re-identification,2018
+29,China,Duke MTMC,duke_mtmc,22.3874201,114.2082222,Hong Kong Baptist University,edu,3cbf60c4a73fadd05b59c3abd19df032303e8577,citation,,Incremental Deep Hidden Attribute Learning,2018
+30,China,Duke MTMC,duke_mtmc,30.508964,114.410577,Huazhong University of Science of Technology,edu,3cbf60c4a73fadd05b59c3abd19df032303e8577,citation,,Incremental Deep Hidden Attribute Learning,2018
+31,Japan,Duke MTMC,duke_mtmc,35.6924853,139.7582533,"National Institute of Informatics, Japan",edu,3cbf60c4a73fadd05b59c3abd19df032303e8577,citation,,Incremental Deep Hidden Attribute Learning,2018
+32,Japan,Duke MTMC,duke_mtmc,35.6924853,139.7582533,"National Institute of Informatics, Japan, Tokyo, Japan",edu,3cbf60c4a73fadd05b59c3abd19df032303e8577,citation,,Incremental Deep Hidden Attribute Learning,2018
+33,South Korea,Duke MTMC,duke_mtmc,35.2265288,126.839987,Gwangju Institute of Science and Technology,edu,5317bd54ad696f40594d78c3464d86d8e39bd75b,citation,https://arxiv.org/pdf/1901.08787.pdf,Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views,2018
+34,China,Duke MTMC,duke_mtmc,30.5097537,114.4062881,Huazhong University of Science and Technology,edu,0db41739f514c4c911c54a4c90ab5f07db3862dc,citation,https://pdfs.semanticscholar.org/0db4/1739f514c4c911c54a4c90ab5f07db3862dc.pdf,NCA-Net for Tracking Multiple Objects across Multiple Cameras,2018
+35,United Kingdom,Duke MTMC,duke_mtmc,51.4584837,-2.6097752,University of Bristol,edu,92939c68b2075d0446fee540bd174b6da26fea05,citation,https://arxiv.org/pdf/1806.04074.pdf,Semantically Selective Augmentation for Deep Compact Person Re-Identification,2018
+36,China,Duke MTMC,duke_mtmc,40.00229045,116.32098908,Tsinghua University,edu,69a7c8bca699ee4100fbe6a83b72459c132a6f10,citation,https://pdfs.semanticscholar.org/69a7/c8bca699ee4100fbe6a83b72459c132a6f10.pdf,Aware Person Re-identification across Multiple Resolutions,2018
+37,Thailand,Duke MTMC,duke_mtmc,13.74311795,100.53287901,Chulalongkorn University,edu,fcec633bbdeaab2d61fcc6d86f74383ccc3621f9,citation,,Robust video editing detection using Scalable Color and Color Layout Descriptors,2017
+38,China,Duke MTMC,duke_mtmc,30.672721,104.098806,University of Electronic Science and Technology of China,edu,a20f132a30e99541aa7ba6dddac86e6a393778e8,citation,https://arxiv.org/pdf/1809.08556.pdf,Self Attention Grid for Person Re-Identification,2018
+39,China,Duke MTMC,duke_mtmc,39.98177,116.330086,Chinese Academy of Sciences & University of Chinese Academy of Sciences,edu,56423685e039d82d3cc88f797fc2b73f2d93e200,citation,,A Unified Generative Adversarial Framework for Image Generation and Person Re-identification,2018
+40,China,Duke MTMC,duke_mtmc,39.9922379,116.30393816,Peking University,edu,56423685e039d82d3cc88f797fc2b73f2d93e200,citation,,A Unified Generative Adversarial Framework for Image Generation and Person Re-identification,2018
+41,Australia,Duke MTMC,duke_mtmc,-33.8809651,151.20107299,University of Technology Sydney,edu,f8f92624c8794d54e08b3a8f94910952ae03cade,citation,,CamStyle: A Novel Data Augmentation Method for Person Re-Identification,2019
+42,China,Duke MTMC,duke_mtmc,24.4399419,118.09301781,Xiamen University,edu,f8f92624c8794d54e08b3a8f94910952ae03cade,citation,,CamStyle: A Novel Data Augmentation Method for Person Re-Identification,2019
+43,Australia,Duke MTMC,duke_mtmc,-35.2776999,149.118527,Australian National University,edu,f8f92624c8794d54e08b3a8f94910952ae03cade,citation,,CamStyle: A Novel Data Augmentation Method for Person Re-Identification,2019
+44,China,Duke MTMC,duke_mtmc,22.4162632,114.2109318,Chinese University of Hong Kong,edu,08d2a558ea2deb117dd8066e864612bf2899905b,citation,https://arxiv.org/pdf/1807.09975.pdf,Person Re-identification with Deep Similarity-Guided Graph Neural Network,2018
+45,China,Duke MTMC,duke_mtmc,39.993008,116.329882,SenseTime,company,08d2a558ea2deb117dd8066e864612bf2899905b,citation,https://arxiv.org/pdf/1807.09975.pdf,Person Re-identification with Deep Similarity-Guided Graph Neural Network,2018
+46,United States,Duke MTMC,duke_mtmc,37.8718992,-122.2585399,University of California,edu,fefa8f07d998f8f4a6c85a7da781b19bf6b78d7d,citation,https://arxiv.org/pdf/1902.00749.pdf,Online Multi-Object Tracking with Dual Matching Attention Networks,2018
+47,China,Duke MTMC,duke_mtmc,39.9808333,116.34101249,Beihang University,edu,7bfc5bbad852f9e6bea3b86c25179d81e2e7fff6,citation,,Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology,2018
+48,China,Duke MTMC,duke_mtmc,40.00229045,116.32098908,Tsinghua University,edu,be79ad118d0524d9b493f4a14a662c8184e6405a,citation,,Attend and Align: Improving Deep Representations with Feature Alignment Layer for Person Retrieval,2018
+49,China,Duke MTMC,duke_mtmc,40.00229045,116.32098908,Tsinghua University,edu,13ea9a2ed134a9e238d33024fba34d3dd6a010e0,citation,https://arxiv.org/pdf/1703.05693.pdf,SVDNet for Pedestrian Retrieval,2017
+50,Australia,Duke MTMC,duke_mtmc,-33.8809651,151.20107299,University of Technology Sydney,edu,13ea9a2ed134a9e238d33024fba34d3dd6a010e0,citation,https://arxiv.org/pdf/1703.05693.pdf,SVDNet for Pedestrian Retrieval,2017
+51,China,Duke MTMC,duke_mtmc,30.19331415,120.11930822,Zhejiang University,edu,608dede56161fd5f76bcf9228b4dd8c639d65b02,citation,https://arxiv.org/pdf/1807.00537.pdf,SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification,2018
+52,United States,Duke MTMC,duke_mtmc,42.7298459,-73.67950216,Rensselaer Polytechnic Institute,edu,24d6d3adf2176516ef0de2e943ce2084e27c4f94,citation,https://arxiv.org/pdf/1811.07487.pdf,Re-Identification with Consistent Attentive Siamese Networks,2018
+53,Australia,Duke MTMC,duke_mtmc,-33.8809651,151.20107299,University of Technology Sydney,edu,15e1af79939dbf90790b03d8aa02477783fb1d0f,citation,https://arxiv.org/pdf/1701.07717.pdf,Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro,2017
+54,China,Duke MTMC,duke_mtmc,30.778621,103.961236,XiHua University,edu,ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b,citation,https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf,Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset,2018
+55,United Kingdom,Duke MTMC,duke_mtmc,51.24303255,-0.59001382,University of Surrey,edu,ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b,citation,https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf,Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset,2018
+56,China,Duke MTMC,duke_mtmc,31.4854255,120.2739581,Jiangnan University,edu,ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b,citation,https://pdfs.semanticscholar.org/ec9c/20ed6cce15e9b63ac96bb5a6d55e69661e0b.pdf,Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset,2018
+57,United Kingdom,Duke MTMC,duke_mtmc,51.5247272,-0.03931035,Queen Mary University of London,edu,fa3fb32fe0cd392960549b0adb7a535eb3656abd,citation,https://arxiv.org/pdf/1711.08106.pdf,The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching,2017
+58,United Kingdom,Duke MTMC,duke_mtmc,55.94951105,-3.19534913,University of Edinburgh,edu,fa3fb32fe0cd392960549b0adb7a535eb3656abd,citation,https://arxiv.org/pdf/1711.08106.pdf,The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching,2017
+59,United States,Duke MTMC,duke_mtmc,40.1019523,-88.2271615,UIUC,edu,54c28bf64debbdb21c246795182f97d4f7917b74,citation,https://arxiv.org/pdf/1811.04129.pdf,STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification,2018
+60,United States,Duke MTMC,duke_mtmc,34.0803829,-118.3909947,Tencent,company,3b311a1ce30f9c0f3dc1d9c0cf25f13127a5e48c,citation,https://arxiv.org/pdf/1810.12193.pdf,A Coarse-to-fine Pyramidal Model for Person Re-identification via Multi-Loss Dynamic Training,2018
+61,United States,Duke MTMC,duke_mtmc,37.3860784,-121.9877807,Google and Hewlett-Packard Labs,edu,4d799f6e09f442bde583a50a0a9f81131ef707bb,citation,,TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores,2018
+62,United States,Duke MTMC,duke_mtmc,37.3860784,-121.9877807,Hewlett-Packard Labs,edu,4d799f6e09f442bde583a50a0a9f81131ef707bb,citation,,TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores,2018
+63,United States,Duke MTMC,duke_mtmc,39.6321923,-76.3038146,LinkedIn and Hewlett-Packard Labs,edu,4d799f6e09f442bde583a50a0a9f81131ef707bb,citation,,TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores,2018
+64,United States,Duke MTMC,duke_mtmc,34.0224149,-118.28634407,University of Southern California,edu,4d799f6e09f442bde583a50a0a9f81131ef707bb,citation,,TAR: Enabling Fine-Grained Targeted Advertising in Retail Stores,2018
+65,Canada,Duke MTMC,duke_mtmc,49.2767454,-122.91777375,Simon Fraser University,edu,5137ca9f0a7cf4c61f2254d4a252a0c56e5dcfcc,citation,https://arxiv.org/pdf/1811.07130.pdf,Batch Feature Erasing for Person Re-identification and Beyond,2018
+66,China,Duke MTMC,duke_mtmc,32.0565957,118.77408833,Nanjing University,edu,c37c3853ab428725f13906bb0ff4936ffe15d6af,citation,https://arxiv.org/pdf/1809.02874.pdf,Unsupervised Person Re-identification by Deep Learning Tracklet Association,2018
+67,United Kingdom,Duke MTMC,duke_mtmc,51.5247272,-0.03931035,Queen Mary University of London,edu,c37c3853ab428725f13906bb0ff4936ffe15d6af,citation,https://arxiv.org/pdf/1809.02874.pdf,Unsupervised Person Re-identification by Deep Learning Tracklet Association,2018
+68,United States,Duke MTMC,duke_mtmc,37.8687126,-122.25586815,"University of California, Berkeley",edu,a8d665fa7357f696dcfd188b91fda88da47b964e,citation,https://arxiv.org/pdf/1809.02318.pdf,Scaling Video Analytics Systems to Large Camera Deployments,2018
+69,United States,Duke MTMC,duke_mtmc,47.6423318,-122.1369302,Microsoft,company,a8d665fa7357f696dcfd188b91fda88da47b964e,citation,https://arxiv.org/pdf/1809.02318.pdf,Scaling Video Analytics Systems to Large Camera Deployments,2018
+70,United States,Duke MTMC,duke_mtmc,41.78468745,-87.60074933,University of Chicago,edu,a8d665fa7357f696dcfd188b91fda88da47b964e,citation,https://arxiv.org/pdf/1809.02318.pdf,Scaling Video Analytics Systems to Large Camera Deployments,2018
+71,China,Duke MTMC,duke_mtmc,23.09461185,113.28788994,Sun Yat-Sen University,edu,dda0b381c162695f21b8d1149aab22188b3c2bc0,citation,https://arxiv.org/pdf/1804.02792.pdf,Occluded Person Re-Identification,2018
+72,China,Duke MTMC,duke_mtmc,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,33f358f1d2b54042c524d69b20e80d98dde3dacd,citation,https://arxiv.org/pdf/1811.11405.pdf,Spectral Feature Transformation for Person Re-identification,2018
+73,United States,Duke MTMC,duke_mtmc,32.8734455,-117.2065636,TuSimple,edu,33f358f1d2b54042c524d69b20e80d98dde3dacd,citation,https://arxiv.org/pdf/1811.11405.pdf,Spectral Feature Transformation for Person Re-identification,2018
+74,China,Duke MTMC,duke_mtmc,30.672721,104.098806,University of Electronic Science and Technology of China,edu,8ffc49aead99fdacb0b180468a36984759f2fc1e,citation,https://arxiv.org/pdf/1809.04976.pdf,Sparse Label Smoothing for Semi-supervised Person Re-Identification,2018
+75,Germany,Duke MTMC,duke_mtmc,50.7791703,6.06728733,RWTH Aachen University,edu,10b36c003542545f1e2d73e8897e022c0c260c32,citation,https://arxiv.org/pdf/1705.04608.pdf,Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters,2017
+76,United Kingdom,Duke MTMC,duke_mtmc,51.7534538,-1.25400997,University of Oxford,edu,94ed6dc44842368b457851b43023c23fd78d5390,citation,https://arxiv.org/pdf/1806.01794.pdf,"Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects",2018
+77,China,Duke MTMC,duke_mtmc,39.9041999,116.4073963,"Beijing, China",edu,280976bbb41d2948a5c0208f86605977397181cd,citation,https://arxiv.org/pdf/1811.08073.pdf,Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models,2018
+78,China,Duke MTMC,duke_mtmc,40.00229045,116.32098908,Tsinghua University,edu,280976bbb41d2948a5c0208f86605977397181cd,citation,https://arxiv.org/pdf/1811.08073.pdf,Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models,2018
+79,China,Duke MTMC,duke_mtmc,39.9922379,116.30393816,Peking University,edu,014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf,citation,https://arxiv.org/pdf/1810.05866.pdf,Attention driven person re-identification,2019
+80,Singapore,Duke MTMC,duke_mtmc,1.3484104,103.68297965,Nanyang Technological University,edu,014e249422b6bd6ff32b3f7d385b5a0e8c4c9fcf,citation,https://arxiv.org/pdf/1810.05866.pdf,Attention driven person re-identification,2019
+81,China,Duke MTMC,duke_mtmc,39.9808333,116.34101249,Beihang University,edu,e9d549989926f36abfa5dc7348ae3d79a567bf30,citation,,Orientation-Guided Similarity Learning for Person Re-identification,2018
+82,China,Duke MTMC,duke_mtmc,23.09461185,113.28788994,Sun Yat-Sen University,edu,95bdd45fed0392418e0e5d3e51d34714917e3c87,citation,https://arxiv.org/pdf/1812.03282.pdf,Spatial-Temporal Person Re-identification,2019
+83,China,Duke MTMC,duke_mtmc,31.30104395,121.50045497,Fudan University,edu,00e3957212517a252258baef833833921dd308d4,citation,,Adaptively Weighted Multi-task Deep Network for Person Attribute Classification,2017
+84,United Kingdom,Duke MTMC,duke_mtmc,51.5247272,-0.03931035,Queen Mary University of London,edu,705073015bb8ae97212532a30488c05d50894bec,citation,https://arxiv.org/pdf/1803.09786.pdf,Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification,2018
+85,United States,Duke MTMC,duke_mtmc,35.9990522,-78.9290629,Duke University,edu,9e644b1e33dd9367be167eb9d832174004840400,citation,https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf,Tracking Social Groups Within and Across Cameras,2017
+86,Italy,Duke MTMC,duke_mtmc,44.6451046,10.9279268,University of Modena,edu,9e644b1e33dd9367be167eb9d832174004840400,citation,https://users.cs.duke.edu/~tomasi/papers/ristani/ristaniTCAS16.pdf,Tracking Social Groups Within and Across Cameras,2017
+87,United States,Duke MTMC,duke_mtmc,35.9990522,-78.9290629,Duke University,edu,27a2fad58dd8727e280f97036e0d2bc55ef5424c,citation,https://arxiv.org/pdf/1609.01775.pdf,"Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking",2016
+88,Switzerland,Duke MTMC,duke_mtmc,46.5190557,6.5667576,EPFL,edu,4e4e3ddb55607e127a4abdef45d92adf1ff78de2,citation,http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf,Non-Markovian Globally Consistent Multi-object Tracking,2017
+89,Switzerland,Duke MTMC,duke_mtmc,46.109237,7.08453549,IDIAP Research Institute,edu,4e4e3ddb55607e127a4abdef45d92adf1ff78de2,citation,http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf,Non-Markovian Globally Consistent Multi-object Tracking,2017
+90,United States,Duke MTMC,duke_mtmc,40.11116745,-88.22587665,"University of Illinois, Urbana-Champaign",edu,4e4e3ddb55607e127a4abdef45d92adf1ff78de2,citation,http://openaccess.thecvf.com/content_ICCV_2017/papers/Maksai_Non-Markovian_Globally_Consistent_ICCV_2017_paper.pdf,Non-Markovian Globally Consistent Multi-object Tracking,2017
+91,United Kingdom,Duke MTMC,duke_mtmc,51.5247272,-0.03931035,Queen Mary University of London,edu,fc26fc2340a863d6da0b427cd924fb4cb101051b,citation,http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf,Person Re-identification by Deep Learning Multi-scale Representations,2017
+92,United Kingdom,Duke MTMC,duke_mtmc,55.378051,-3.435973,"Vision Semantics Ltd, UK",edu,fc26fc2340a863d6da0b427cd924fb4cb101051b,citation,http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w37/Chen_Person_Re-Identification_by_ICCV_2017_paper.pdf,Person Re-identification by Deep Learning Multi-scale Representations,2017
+93,Canada,Duke MTMC,duke_mtmc,43.4983503,-80.5478382,"Senstar Corporation, Waterloo, Canada",company,8e42568c2b3feaafd1e442e1e861ec50a4ac144f,citation,https://arxiv.org/pdf/1805.06086.pdf,An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification,2018
+94,Italy,Duke MTMC,duke_mtmc,45.4377672,12.321807,University Iuav of Venice,edu,eddb1a126eafecad2cead01c6c3bb4b88120d78a,citation,https://arxiv.org/pdf/1802.02181.pdf,Applications of a Graph Theoretic Based Clustering Framework in Computer Vision and Pattern Recognition,2018
+95,China,Duke MTMC,duke_mtmc,40.00229045,116.32098908,Tsinghua University,edu,fc068f7f8a3b2921ec4f3246e9b6c6015165df9a,citation,https://arxiv.org/pdf/1711.09349.pdf,Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline),2018
+96,Australia,Duke MTMC,duke_mtmc,-33.8809651,151.20107299,University of Technology Sydney,edu,fc068f7f8a3b2921ec4f3246e9b6c6015165df9a,citation,https://arxiv.org/pdf/1711.09349.pdf,Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline),2018
+97,United States,Duke MTMC,duke_mtmc,29.58333105,-98.61944505,University of Texas at San Antonio,edu,fc068f7f8a3b2921ec4f3246e9b6c6015165df9a,citation,https://arxiv.org/pdf/1711.09349.pdf,Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline),2018
+98,United States,Duke MTMC,duke_mtmc,43.0008093,-78.7889697,University at Buffalo,edu,fdd1bde7066c7e9c7515f330546e0b3a8de8a4a6,citation,https://arxiv.org/pdf/1811.06582.pdf,CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking,2018
+99,United States,Duke MTMC,duke_mtmc,43.0008093,-78.7889697,University at Buffalo,edu,3144c9b3bedb6e3895dcd36998bcb0903271841d,citation,https://arxiv.org/pdf/1811.06582.pdf,CAN: Composite Appearance Network and a Novel Evaluation Metric for Person Tracking,2018
+100,China,Duke MTMC,duke_mtmc,29.1416432,119.7889248,"Alibaba Group, Zhejiang, People’s Republic of China",edu,f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75,citation,https://arxiv.org/pdf/1812.05785.pdf,Deep Active Learning for Video-based Person Re-identification,2018
+101,China,Duke MTMC,duke_mtmc,30.19331415,120.11930822,Zhejiang University,edu,f4e65ab81a0f4ffa50d0c9bc308d7365e012cc75,citation,https://arxiv.org/pdf/1812.05785.pdf,Deep Active Learning for Video-based Person Re-identification,2018
+102,China,Duke MTMC,duke_mtmc,38.88140235,121.52281098,Dalian University of Technology,edu,5be74c6fa7f890ea530e427685dadf0d0a371fc1,citation,https://arxiv.org/pdf/1804.11027.pdf,Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification,2018
+103,Australia,Duke MTMC,duke_mtmc,-27.49741805,153.01316956,University of Queensland,edu,5be74c6fa7f890ea530e427685dadf0d0a371fc1,citation,https://arxiv.org/pdf/1804.11027.pdf,Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification,2018
+104,Australia,Duke MTMC,duke_mtmc,-33.88890695,151.18943366,University of Sydney,edu,5be74c6fa7f890ea530e427685dadf0d0a371fc1,citation,https://arxiv.org/pdf/1804.11027.pdf,Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification,2018
+105,Switzerland,Duke MTMC,duke_mtmc,46.5184121,6.5684654,École Polytechnique Fédérale de Lausanne,edu,0f3eb3719b6f6f544b766e0bfeb8f962c9bd59f4,citation,https://arxiv.org/pdf/1811.10984.pdf,Eliminating Exposure Bias and Loss-Evaluation Mismatch in Multiple Object Tracking,2018
+106,Italy,Duke MTMC,duke_mtmc,45.434532,12.326197,"DAIS, Università Ca’ Foscari, Venice, Italy",edu,6dce5866ebc46355a35b8667c1e04a4790c2289b,citation,https://pdfs.semanticscholar.org/6dce/5866ebc46355a35b8667c1e04a4790c2289b.pdf,Extensions of dominant sets and their applications in computer vision,2018
+107,United States,Duke MTMC,duke_mtmc,42.3383668,-71.08793524,Northeastern University,edu,8abe89ab85250fd7a8117da32bc339a71c67dc21,citation,https://arxiv.org/pdf/1709.07065.pdf,Multi-camera Multi-Object Tracking,2017
+108,Australia,Duke MTMC,duke_mtmc,-33.8809651,151.20107299,University of Technology Sydney,edu,b856c0eb039effce7da9ff45c3f5987f18928bef,citation,https://arxiv.org/pdf/1707.00408.pdf,Pedestrian Alignment Network for Large-scale Person Re-identification,2017
+109,Germany,Duke MTMC,duke_mtmc,49.10184375,8.4331256,Karlsruhe Institute of Technology,edu,bab66082d01b393e6b9e841e5e06782a6c61ec88,citation,https://arxiv.org/pdf/1803.08709.pdf,Pose-Driven Deep Models for Person Re-Identification,2018
+110,China,Duke MTMC,duke_mtmc,31.30104395,121.50045497,Fudan University,edu,e6d8f332ae26e9983d5b42af4466ff95b55f2341,citation,https://arxiv.org/pdf/1712.02225.pdf,Pose-Normalized Image Generation for Person Re-identification,2018
+111,Japan,Duke MTMC,duke_mtmc,34.7321121,135.7328585,Nara Institute of Science and Technology,edu,e6d8f332ae26e9983d5b42af4466ff95b55f2341,citation,https://arxiv.org/pdf/1712.02225.pdf,Pose-Normalized Image Generation for Person Re-identification,2018
+112,United Kingdom,Duke MTMC,duke_mtmc,51.5247272,-0.03931035,Queen Mary University of London,edu,e6d8f332ae26e9983d5b42af4466ff95b55f2341,citation,https://arxiv.org/pdf/1712.02225.pdf,Pose-Normalized Image Generation for Person Re-identification,2018
+113,China,Duke MTMC,duke_mtmc,22.8376,108.289839,Guangxi University,edu,4a91be40e6b382c3ddf3385ac44062b2399336a8,citation,https://arxiv.org/pdf/1809.09970.pdf,Random Occlusion-recovery for Person Re-identification,2018
+114,China,Duke MTMC,duke_mtmc,31.28473925,121.49694909,Tongji University,edu,4a91be40e6b382c3ddf3385ac44062b2399336a8,citation,https://arxiv.org/pdf/1809.09970.pdf,Random Occlusion-recovery for Person Re-identification,2018
+115,France,Duke MTMC,duke_mtmc,45.2173989,5.7921349,"Naver Labs Europe, Meylan, France",edu,4d8347a69e77cc02c1e1aba3a8b6646eac1a0b3d,citation,https://arxiv.org/pdf/1801.05339.pdf,Re-ID done right: towards good practices for person re-identification.,2018
+116,United States,Duke MTMC,duke_mtmc,28.59899755,-81.19712501,University of Central Florida,edu,a1e97c4043d5cc9896dc60ae7ca135782d89e5fc,citation,https://arxiv.org/pdf/1612.02155.pdf,"Re-identification of Humans in Crowds using Personal, Social and Environmental Constraints",2016
+117,China,Duke MTMC,duke_mtmc,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,0e36bf238d2db6c970ade0b5f68811ed6debc4e8,citation,https://arxiv.org/pdf/1810.07399.pdf,Recognizing Partial Biometric Patterns,2018
+118,United States,Duke MTMC,duke_mtmc,42.4505507,-76.4783513,Cornell University,edu,6d76eefecdcaa130a000d1d6c93cf57166ebd18e,citation,https://arxiv.org/pdf/1805.08805.pdf,Resource Aware Person Re-identification Across Multiple Resolutions,2018
+119,China,Duke MTMC,duke_mtmc,31.20081505,121.42840681,Shanghai Jiao Tong University,edu,6d76eefecdcaa130a000d1d6c93cf57166ebd18e,citation,https://arxiv.org/pdf/1805.08805.pdf,Resource Aware Person Re-identification Across Multiple Resolutions,2018
+120,China,Duke MTMC,duke_mtmc,40.00229045,116.32098908,Tsinghua University,edu,6d76eefecdcaa130a000d1d6c93cf57166ebd18e,citation,https://arxiv.org/pdf/1805.08805.pdf,Resource Aware Person Re-identification Across Multiple Resolutions,2018
+121,China,Duke MTMC,duke_mtmc,31.846918,117.29053367,Hefei University of Technology,edu,42dc432f58adfaa7bf6af07e5faf9e75fea29122,citation,https://arxiv.org/pdf/1811.08115.pdf,Sequence-based Person Attribute Recognition with Joint CTC-Attention Model,2018
+122,China,Duke MTMC,duke_mtmc,31.1675446,121.3974873,"Tencent, Shanghai, China",company,42dc432f58adfaa7bf6af07e5faf9e75fea29122,citation,https://arxiv.org/pdf/1811.08115.pdf,Sequence-based Person Attribute Recognition with Joint CTC-Attention Model,2018
+123,United States,Duke MTMC,duke_mtmc,47.6423318,-122.1369302,Microsoft,company,8a77025bde5479a1366bb93c6f2366b5a6293720,citation,https://arxiv.org/pdf/1805.02336.pdf,Sharp Attention Network via Adaptive Sampling for Person Re-identification,2018
+124,United States,Duke MTMC,duke_mtmc,40.11116745,-88.22587665,"University of Illinois, Urbana-Champaign",edu,8a77025bde5479a1366bb93c6f2366b5a6293720,citation,https://arxiv.org/pdf/1805.02336.pdf,Sharp Attention Network via Adaptive Sampling for Person Re-identification,2018
+125,China,Duke MTMC,duke_mtmc,30.19331415,120.11930822,Zhejiang University,edu,8a77025bde5479a1366bb93c6f2366b5a6293720,citation,https://arxiv.org/pdf/1805.02336.pdf,Sharp Attention Network via Adaptive Sampling for Person Re-identification,2018
+126,Australia,Duke MTMC,duke_mtmc,-35.2776999,149.118527,Australian National University,edu,304196021200067a838c06002d9e96d6a12a1e46,citation,https://arxiv.org/pdf/1811.10551.pdf,Similarity-preserving Image-image Domain Adaptation for Person Re-identification,2018
+127,Australia,Duke MTMC,duke_mtmc,-33.8809651,151.20107299,University of Technology Sydney,edu,304196021200067a838c06002d9e96d6a12a1e46,citation,https://arxiv.org/pdf/1811.10551.pdf,Similarity-preserving Image-image Domain Adaptation for Person Re-identification,2018
+128,China,Duke MTMC,duke_mtmc,28.2290209,112.99483204,"National University of Defense Technology, China",mil,e90816e1a0e14ea1e7039e0b2782260999aef786,citation,https://arxiv.org/pdf/1809.03137.pdf,Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers,2018
+129,United Kingdom,Duke MTMC,duke_mtmc,51.5231607,-0.1282037,University College London,edu,e90816e1a0e14ea1e7039e0b2782260999aef786,citation,https://arxiv.org/pdf/1809.03137.pdf,Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers,2018
+130,United States,Duke MTMC,duke_mtmc,37.2283843,-80.4234167,Virginia Tech,edu,e278218ba1ff1b85d06680e99b08e817d0962dab,citation,https://arxiv.org/pdf/1710.02139.pdf,Tracking Persons-of-Interest via Unsupervised Representation Adaptation,2017
+131,China,Duke MTMC,duke_mtmc,34.250803,108.983693,Xi’an Jiaotong University,edu,e278218ba1ff1b85d06680e99b08e817d0962dab,citation,https://arxiv.org/pdf/1710.02139.pdf,Tracking Persons-of-Interest via Unsupervised Representation Adaptation,2017
+132,China,Duke MTMC,duke_mtmc,30.508964,114.410577,"Huazhong Univ. of Science and Technology, China",edu,42656cf2b75dccc7f8f224f7a86c2ea4de1ae671,citation,https://arxiv.org/pdf/1807.11334.pdf,Unsupervised Domain Adaptive Re-Identification: Theory and Practice,2018
+133,China,Duke MTMC,duke_mtmc,23.09461185,113.28788994,Sun Yat-Sen University,edu,788ab52d4f7fedb4b79347bb81822c4f3c430d80,citation,https://arxiv.org/pdf/1901.10177.pdf,Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding,2018
+134,Australia,Duke MTMC,duke_mtmc,-33.8809651,151.20107299,University of Technology Sydney,edu,31da1da2d4e7254dd8f2a4578d887c57e0678438,citation,https://arxiv.org/pdf/1705.10444.pdf,Unsupervised Person Re-identification: Clustering and Fine-tuning,2018
+135,United Kingdom,Duke MTMC,duke_mtmc,54.6141723,-5.9002151,Queen's University Belfast,edu,1e146982a7b088e7a3790d2683484944c3b9dcf7,citation,https://pdfs.semanticscholar.org/1e14/6982a7b088e7a3790d2683484944c3b9dcf7.pdf,Video Person Re-Identification for Wide Area Tracking based on Recurrent Neural Networks,2017
+136,Germany,Duke MTMC,duke_mtmc,49.01546,8.4257999,Fraunhofer,company,978716708762dab46e91059e170d43551be74732,citation,,A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking,2018
+137,Germany,Duke MTMC,duke_mtmc,49.10184375,8.4331256,Karlsruhe Institute of Technology,edu,978716708762dab46e91059e170d43551be74732,citation,,A Pose-Sensitive Embedding for Person Re-identification with Expanded Cross Neighborhood Re-ranking,2018
+138,Taiwan,Duke MTMC,duke_mtmc,25.01682835,121.53846924,National Taiwan University,edu,d9216cc2a3c03659cb2392b7cc8509feb7829579,citation,,Adaptation and Re-identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-identification,2018
+139,China,Duke MTMC,duke_mtmc,39.979203,116.33287,"CRIPAC & NLPR, CASIA",edu,1bfe59be5b42d6b7257da4b35a408239c01ab79d,citation,,Adversarially Occluded Samples for Person Re-identification,2018
+140,China,Duke MTMC,duke_mtmc,40.0044795,116.370238,Chinese Academy of Sciences,edu,1bfe59be5b42d6b7257da4b35a408239c01ab79d,citation,,Adversarially Occluded Samples for Person Re-identification,2018
+141,China,Duke MTMC,duke_mtmc,22.543096,114.057865,"SenseNets Corporation, Shenzhen, China",company,14ce502bc19b225466126b256511f9c05cadcb6e,citation,,Attention-Aware Compositional Network for Person Re-identification,2018
+142,China,Duke MTMC,duke_mtmc,39.993008,116.329882,SenseTime,company,14ce502bc19b225466126b256511f9c05cadcb6e,citation,,Attention-Aware Compositional Network for Person Re-identification,2018
+143,Australia,Duke MTMC,duke_mtmc,-33.88890695,151.18943366,University of Sydney,edu,14ce502bc19b225466126b256511f9c05cadcb6e,citation,,Attention-Aware Compositional Network for Person Re-identification,2018
+144,Australia,Duke MTMC,duke_mtmc,-33.8809651,151.20107299,University of Technology Sydney,edu,1822ca8db58b0382b0c64f310840f0f875ea02c0,citation,,Camera Style Adaptation for Person Re-identification,2018
+145,China,Duke MTMC,duke_mtmc,24.4399419,118.09301781,Xiamen University,edu,1822ca8db58b0382b0c64f310840f0f875ea02c0,citation,,Camera Style Adaptation for Person Re-identification,2018
+146,China,Duke MTMC,duke_mtmc,36.16161795,120.49355276,Ocean University of China,edu,38259235a1c7b2c68ca09f3bc0930987ae99cf00,citation,,Deep Feature Ranking for Person Re-Identification,2019
+147,South Korea,Duke MTMC,duke_mtmc,35.84658875,127.1350133,Chonbuk National University,edu,c635564fe2f7d91b578bd6959904982aaa61234d,citation,,Deep Multi-Task Network for Learning Person Identity and Attributes,2018
+148,China,Duke MTMC,duke_mtmc,22.4162632,114.2109318,Chinese University of Hong Kong,edu,947954cafdefd471b75da8c3bb4c21b9e6d57838,citation,,End-to-End Deep Kronecker-Product Matching for Person Re-identification,2018
+149,China,Duke MTMC,duke_mtmc,39.993008,116.329882,SenseTime,company,947954cafdefd471b75da8c3bb4c21b9e6d57838,citation,,End-to-End Deep Kronecker-Product Matching for Person Re-identification,2018
+150,China,Duke MTMC,duke_mtmc,23.0502042,113.39880323,South China University of Technology,edu,cb68c60ac046a0ec1c7f67487f14b999037313e1,citation,,Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning,2018
+151,Australia,Duke MTMC,duke_mtmc,-33.88890695,151.18943366,University of Sydney,edu,cb68c60ac046a0ec1c7f67487f14b999037313e1,citation,,Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning,2018
+152,Australia,Duke MTMC,duke_mtmc,-33.8809651,151.20107299,University of Technology Sydney,edu,cb68c60ac046a0ec1c7f67487f14b999037313e1,citation,,Exploit the Unknown Gradually: One-Shot Video-Based Person Re-identification by Stepwise Learning,2018
+153,United States,Duke MTMC,duke_mtmc,35.9990522,-78.9290629,Duke University,edu,c0f01b8174a632448c20eb5472cd9d5b2c595e39,citation,,Features for Multi-target Multi-camera Tracking and Re-identification,2018
+154,China,Duke MTMC,duke_mtmc,22.4162632,114.2109318,Chinese University of Hong Kong,edu,308a13fd1d2847d98930a8e5542f773a9651a0ae,citation,,Group Consistent Similarity Learning via Deep CRF for Person Re-identification,2018
+155,Italy,Duke MTMC,duke_mtmc,46.0658836,11.1159894,University of Trento,edu,308a13fd1d2847d98930a8e5542f773a9651a0ae,citation,,Group Consistent Similarity Learning via Deep CRF for Person Re-identification,2018
+156,China,Duke MTMC,duke_mtmc,34.250803,108.983693,Xi’an Jiaotong University,edu,308a13fd1d2847d98930a8e5542f773a9651a0ae,citation,,Group Consistent Similarity Learning via Deep CRF for Person Re-identification,2018
+157,Turkey,Duke MTMC,duke_mtmc,41.10427915,29.02231159,Istanbul Technical University,edu,7ba225a614d77efd9bdf66bf74c80dd2da09229a,citation,,Human Semantic Parsing for Person Re-identification,2018
+158,United States,Duke MTMC,duke_mtmc,28.59899755,-81.19712501,University of Central Florida,edu,7ba225a614d77efd9bdf66bf74c80dd2da09229a,citation,,Human Semantic Parsing for Person Re-identification,2018
+159,Australia,Duke MTMC,duke_mtmc,-32.00686365,115.89691775,Curtin University,edu,292286c0024d6625fe606fb5b8a0df54ea3ffe91,citation,,Identity Adaptation for Person Re-Identification,2018
+160,United Kingdom,Duke MTMC,duke_mtmc,54.00975365,-2.78757491,Lancaster University,edu,292286c0024d6625fe606fb5b8a0df54ea3ffe91,citation,,Identity Adaptation for Person Re-Identification,2018
+161,Australia,Duke MTMC,duke_mtmc,-31.95040445,115.79790037,University of Western Australia,edu,292286c0024d6625fe606fb5b8a0df54ea3ffe91,citation,,Identity Adaptation for Person Re-Identification,2018
+162,China,Duke MTMC,duke_mtmc,40.0044795,116.370238,Chinese Academy of Sciences,edu,6cde93a5288e84671a7bee98cf6c94037f42da42,citation,,Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification,2018
+163,Singapore,Duke MTMC,duke_mtmc,1.340216,103.965089,Singapore University of Technology and Design,edu,6cde93a5288e84671a7bee98cf6c94037f42da42,citation,,Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification,2018
+164,Australia,Duke MTMC,duke_mtmc,-33.8809651,151.20107299,University of Technology Sydney,edu,6cde93a5288e84671a7bee98cf6c94037f42da42,citation,,Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification,2018
+165,China,Duke MTMC,duke_mtmc,39.0607286,117.1256421,Tianjin Normal University,edu,67289bd3b7c9406429c6012eb7292305e50dff0b,citation,,Integration Convolutional Neural Network for Person Re-Identification in Camera Networks,2018
+166,China,Duke MTMC,duke_mtmc,32.05765485,118.7550004,HoHai University,edu,fedb656c45aa332cfc373b413f3000b6228eee08,citation,,Joint Learning of Body and Part Representation for Person Re-Identification,2018
+167,China,Duke MTMC,duke_mtmc,33.5491006,119.035706,"Huaiyin Institute of Technology, Huaian, China",edu,fedb656c45aa332cfc373b413f3000b6228eee08,citation,,Joint Learning of Body and Part Representation for Person Re-Identification,2018
+168,Australia,Duke MTMC,duke_mtmc,-33.8809651,151.20107299,University of Technology Sydney,edu,fedb656c45aa332cfc373b413f3000b6228eee08,citation,,Joint Learning of Body and Part Representation for Person Re-Identification,2018
+169,China,Duke MTMC,duke_mtmc,23.09461185,113.28788994,Sun Yat-Sen University,edu,b37538f9364252eec4182bdbb80ef1e4614c3acd,citation,,Learning a Semantically Discriminative Joint Space for Attribute Based Person Re-identification,2017
+170,United Kingdom,Duke MTMC,duke_mtmc,51.5247272,-0.03931035,Queen Mary University of London,edu,004acfec16c36649408c561faa102dd9de76f085,citation,,Multi-level Factorisation Net for Person Re-identification,2018
+171,United Kingdom,Duke MTMC,duke_mtmc,55.94951105,-3.19534913,University of Edinburgh,edu,004acfec16c36649408c561faa102dd9de76f085,citation,,Multi-level Factorisation Net for Person Re-identification,2018
+172,China,Duke MTMC,duke_mtmc,39.0607286,117.1256421,Tianjin Normal University,edu,a80d8506fa28334c947989ca153b70aafc63ac7f,citation,,Pedestrian Retrieval via Part-Based Gradation Regularization in Sensor Networks,2018
+173,United States,Duke MTMC,duke_mtmc,35.9990522,-78.9290629,Duke University,edu,96e77135e745385e87fdd0f7ced951bf1fe9a756,citation,,People Tracking and Re-Identification from Multiple Cameras,2018
+174,China,Duke MTMC,duke_mtmc,30.274084,120.15507,Alibaba,company,90c18409b7a3be2cd6da599d02accba4c769e94e,citation,,Person Re-identification with Cascaded Pairwise Convolutions,2018
+175,China,Duke MTMC,duke_mtmc,31.83907195,117.26420748,University of Science and Technology of China,edu,90c18409b7a3be2cd6da599d02accba4c769e94e,citation,,Person Re-identification with Cascaded Pairwise Convolutions,2018
+176,China,Duke MTMC,duke_mtmc,30.5360485,114.3643219,"Wuhan Univeristy, Wuhan, China",edu,90c18409b7a3be2cd6da599d02accba4c769e94e,citation,,Person Re-identification with Cascaded Pairwise Convolutions,2018
+177,China,Duke MTMC,duke_mtmc,31.20081505,121.42840681,Shanghai Jiao Tong University,edu,df4ed9983f7114ca4f0ab71f1476c0bf7521e317,citation,,Pose Transferrable Person Re-identification,2018
+178,United States,Duke MTMC,duke_mtmc,40.4441619,-79.94272826,Carnegie Mellon University,edu,e307c6635472d3d1e512af6e20f2e56c95937bb7,citation,,Semi-Supervised Bayesian Attribute Learning for Person Re-Identification,2018
+179,Australia,Duke MTMC,duke_mtmc,-33.8809651,151.20107299,University of Technology Sydney,edu,e307c6635472d3d1e512af6e20f2e56c95937bb7,citation,,Semi-Supervised Bayesian Attribute Learning for Person Re-Identification,2018
diff --git a/site/datasets/verified/erce.csv b/site/datasets/verified/erce.csv
new file mode 100644
index 00000000..c7594437
--- /dev/null
+++ b/site/datasets/verified/erce.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,ERCe,erce,0.0,0.0,,,,main,,Video Synopsis by Heterogeneous Multi-source Correlation,2013
diff --git a/site/datasets/verified/expw.csv b/site/datasets/verified/expw.csv
new file mode 100644
index 00000000..bdff0ca8
--- /dev/null
+++ b/site/datasets/verified/expw.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,ExpW,expw,0.0,0.0,,,,main,,From Facial Expression Recognition to Interpersonal Relation Prediction,2017
diff --git a/site/datasets/verified/face_scrub.csv b/site/datasets/verified/face_scrub.csv
new file mode 100644
index 00000000..9270f6c9
--- /dev/null
+++ b/site/datasets/verified/face_scrub.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,FaceScrub,face_scrub,0.0,0.0,,,,main,,A data-driven approach to cleaning large face datasets,2014
diff --git a/site/datasets/verified/face_tracer.csv b/site/datasets/verified/face_tracer.csv
new file mode 100644
index 00000000..7d9a786c
--- /dev/null
+++ b/site/datasets/verified/face_tracer.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,FaceTracer,face_tracer,0.0,0.0,,,,main,,FaceTracer: A Search Engine for Large Collections of Images with Faces,2008
diff --git a/site/datasets/verified/facebook_100.csv b/site/datasets/verified/facebook_100.csv
new file mode 100644
index 00000000..7ac8bed2
--- /dev/null
+++ b/site/datasets/verified/facebook_100.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,Facebook100,facebook_100,0.0,0.0,,,,main,,Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook,2011
diff --git a/site/datasets/verified/families_in_the_wild.csv b/site/datasets/verified/families_in_the_wild.csv
new file mode 100644
index 00000000..f7759a01
--- /dev/null
+++ b/site/datasets/verified/families_in_the_wild.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,FIW,families_in_the_wild,0.0,0.0,,,,main,,Visual Kinship Recognition of Families in the Wild,2018
diff --git a/site/datasets/verified/fddb.csv b/site/datasets/verified/fddb.csv
new file mode 100644
index 00000000..fad365aa
--- /dev/null
+++ b/site/datasets/verified/fddb.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,FDDB,fddb,0.0,0.0,,,,main,,FDDB: A benchmark for face detection in unconstrained settings,2010
diff --git a/site/datasets/verified/feret.csv b/site/datasets/verified/feret.csv
new file mode 100644
index 00000000..9259d34e
--- /dev/null
+++ b/site/datasets/verified/feret.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,FERET,feret,0.0,0.0,,,,main,,The FERET Verification Testing Protocol for Face Recognition Algorithms,1998
diff --git a/site/datasets/verified/fiw_300.csv b/site/datasets/verified/fiw_300.csv
new file mode 100644
index 00000000..afcd74c1
--- /dev/null
+++ b/site/datasets/verified/fiw_300.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,300-W,fiw_300,0.0,0.0,,,,main,,A Semi-automatic Methodology for Facial Landmark Annotation,2013
diff --git a/site/datasets/verified/frgc.csv b/site/datasets/verified/frgc.csv
new file mode 100644
index 00000000..1941ce0e
--- /dev/null
+++ b/site/datasets/verified/frgc.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,FRGC,frgc,0.0,0.0,,,,main,,Overview of the face recognition grand challenge,2005
diff --git a/site/datasets/verified/gallagher.csv b/site/datasets/verified/gallagher.csv
new file mode 100644
index 00000000..60f38cab
--- /dev/null
+++ b/site/datasets/verified/gallagher.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,Gallagher,gallagher,0.0,0.0,,,,main,,Clothing cosegmentation for recognizing people,2008
diff --git a/site/datasets/verified/geofaces.csv b/site/datasets/verified/geofaces.csv
new file mode 100644
index 00000000..9331c186
--- /dev/null
+++ b/site/datasets/verified/geofaces.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,GeoFaces,geofaces,0.0,0.0,,,,main,,Exploring the geo-dependence of human face appearance,2014
diff --git a/site/datasets/verified/gfw.csv b/site/datasets/verified/gfw.csv
new file mode 100644
index 00000000..5acd8bf1
--- /dev/null
+++ b/site/datasets/verified/gfw.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,Grouping Face in the Wild,gfw,0.0,0.0,,,,main,,Merge or Not? Learning to Group Faces via Imitation Learning,2018
diff --git a/site/datasets/verified/helen.csv b/site/datasets/verified/helen.csv
new file mode 100644
index 00000000..a9f9a846
--- /dev/null
+++ b/site/datasets/verified/helen.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,Helen,helen,0.0,0.0,,,,main,,Interactive Facial Feature Localization,2012
diff --git a/site/datasets/verified/hipsterwars.csv b/site/datasets/verified/hipsterwars.csv
new file mode 100644
index 00000000..7d6bd213
--- /dev/null
+++ b/site/datasets/verified/hipsterwars.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,Hipsterwars,hipsterwars,0.0,0.0,,,,main,,Hipster Wars: Discovering Elements of Fashion Styles,2014
diff --git a/site/datasets/verified/hrt_transgender.csv b/site/datasets/verified/hrt_transgender.csv
new file mode 100644
index 00000000..76cb4c41
--- /dev/null
+++ b/site/datasets/verified/hrt_transgender.csv
@@ -0,0 +1,6 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,HRT Transgender,hrt_transgender,0.0,0.0,,,,main,,Is the eye region more reliable than the face? A preliminary study of face-based recognition on a transgender dataset,2013
+1,United States,HRT Transgender,hrt_transgender,34.2249827,-77.86907744,University of North Carolina at Wilmington,edu,2f43b614607163abf41dfe5d17ef6749a1b61304,citation,,Investigating the Periocular-Based Face Recognition Across Gender Transformation,2014
+2,India,HRT Transgender,hrt_transgender,17.4454957,78.34854698,International Institute of Information Technology,edu,e6d46d923f201da644ae8d8bd04721dd9ac0e73d,citation,,Robust transgender face recognition: Approach based on appearance and therapy factors,2016
+3,Norway,HRT Transgender,hrt_transgender,60.7897318,10.6821927,"Norwegian Biometrics Laboratory, NTNU, Norway",edu,e6d46d923f201da644ae8d8bd04721dd9ac0e73d,citation,,Robust transgender face recognition: Approach based on appearance and therapy factors,2016
+4,Sweden,HRT Transgender,hrt_transgender,56.66340325,12.87929727,Halmstad University,edu,555f75077a02f33a05841f9b63a1388ec5fbcba5,citation,https://arxiv.org/pdf/1810.03360.pdf,A Survey on Periocular Biometrics Research,2016
diff --git a/site/datasets/verified/ibm_dif.csv b/site/datasets/verified/ibm_dif.csv
new file mode 100644
index 00000000..4a78dc92
--- /dev/null
+++ b/site/datasets/verified/ibm_dif.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,IBM Diversity in Faces,ibm_dif,0.0,0.0,,,,main,,Facial Coding Scheme Reference 1 Craniofacial Distances,2019
diff --git a/site/datasets/verified/ifad.csv b/site/datasets/verified/ifad.csv
new file mode 100644
index 00000000..ca30c779
--- /dev/null
+++ b/site/datasets/verified/ifad.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,IFAD,ifad,0.0,0.0,,,,main,,Indian Face Age Database: A Database for Face Recognition with Age Variation,2015
diff --git a/site/datasets/verified/ifdb.csv b/site/datasets/verified/ifdb.csv
new file mode 100644
index 00000000..5d7eb156
--- /dev/null
+++ b/site/datasets/verified/ifdb.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,IFDB,ifdb,0.0,0.0,,,,main,,Iranian Face Database and Evaluation with a New Detection Algorithm,2007
diff --git a/site/datasets/verified/ijb_a.csv b/site/datasets/verified/ijb_a.csv
new file mode 100644
index 00000000..f3abe597
--- /dev/null
+++ b/site/datasets/verified/ijb_a.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,IJB-A,ijb_a,0.0,0.0,,,,main,,Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A,2015
diff --git a/site/datasets/verified/ijb_b.csv b/site/datasets/verified/ijb_b.csv
new file mode 100644
index 00000000..6a78ed81
--- /dev/null
+++ b/site/datasets/verified/ijb_b.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,IJB-B,ijb_b,0.0,0.0,,,,main,,IARPA Janus Benchmark-B Face Dataset,2017
diff --git a/site/datasets/verified/ijb_c.csv b/site/datasets/verified/ijb_c.csv
new file mode 100644
index 00000000..4b8c251d
--- /dev/null
+++ b/site/datasets/verified/ijb_c.csv
@@ -0,0 +1,6 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,IJB-C,ijb_c,0.0,0.0,,,,main,,IARPA Janus Benchmark - C: Face Dataset and Protocol,2018
+1,United Kingdom,IJB-C,ijb_c,51.7520849,-1.2516646,Oxford University,edu,9286eab328444401a848cd2e13186840be8f0409,citation,https://arxiv.org/pdf/1807.09192.pdf,Multicolumn Networks for Face Recognition,2018
+2,United Kingdom,IJB-C,ijb_c,51.7520849,-1.2516646,Oxford University,edu,ac5ab8f71edde6d1a2129da12d051ed03a8446a1,citation,https://arxiv.org/pdf/1807.11440.pdf,Comparator Networks,2018
+3,United States,IJB-C,ijb_c,29.7207902,-95.34406271,University of Houston,edu,3b3941524d97e7f778367a1250ba1efb9205d5fc,citation,https://arxiv.org/pdf/1901.09447.pdf,Open Source Face Recognition Performance Evaluation Package,2019
+4,United States,IJB-C,ijb_c,42.718568,-84.47791571,Michigan State University,edu,fa03cac5aa5192822a85273852090ca20a6c47aa,citation,https://arxiv.org/pdf/1805.00611.pdf,Towards Interpretable Face Recognition,2018
diff --git a/site/datasets/verified/ilids_mcts_vid.csv b/site/datasets/verified/ilids_mcts_vid.csv
new file mode 100644
index 00000000..a8c49b3e
--- /dev/null
+++ b/site/datasets/verified/ilids_mcts_vid.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,iLIDS-VID,ilids_mcts_vid,0.0,0.0,,,,main,,Person Re-identification by Video Ranking,2014
diff --git a/site/datasets/verified/images_of_groups.csv b/site/datasets/verified/images_of_groups.csv
new file mode 100644
index 00000000..cb1ca5b7
--- /dev/null
+++ b/site/datasets/verified/images_of_groups.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,Images of Groups,images_of_groups,0.0,0.0,,,,main,,Understanding images of groups of people,2009
diff --git a/site/datasets/verified/imdb_face.csv b/site/datasets/verified/imdb_face.csv
new file mode 100644
index 00000000..57609d4b
--- /dev/null
+++ b/site/datasets/verified/imdb_face.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,IMDb Face,imdb_face,0.0,0.0,,,,main,,The Devil of Face Recognition is in the Noise,2018
diff --git a/site/datasets/verified/imdb_wiki.csv b/site/datasets/verified/imdb_wiki.csv
new file mode 100644
index 00000000..913f9f8d
--- /dev/null
+++ b/site/datasets/verified/imdb_wiki.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,IMDB,imdb_wiki,0.0,0.0,,,,main,,Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks,2016
diff --git a/site/datasets/verified/imfdb.csv b/site/datasets/verified/imfdb.csv
new file mode 100644
index 00000000..d82b1665
--- /dev/null
+++ b/site/datasets/verified/imfdb.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,IMFDB,imfdb,0.0,0.0,,,,main,,Indian Movie Face Database: A benchmark for face recognition under wide variations,2013
diff --git a/site/datasets/verified/kin_face.csv b/site/datasets/verified/kin_face.csv
new file mode 100644
index 00000000..5f1a02c6
--- /dev/null
+++ b/site/datasets/verified/kin_face.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,UB KinFace,kin_face,0.0,0.0,,,,main,,Understanding Kin Relationships in a Photo,2012
diff --git a/site/datasets/verified/lag.csv b/site/datasets/verified/lag.csv
new file mode 100644
index 00000000..7021aad2
--- /dev/null
+++ b/site/datasets/verified/lag.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,LAG,lag,0.0,0.0,,,,main,,Large age-gap face verification by feature injection in deep networks,2017
diff --git a/site/datasets/verified/laofiw.csv b/site/datasets/verified/laofiw.csv
new file mode 100644
index 00000000..9bcabfed
--- /dev/null
+++ b/site/datasets/verified/laofiw.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,LAOFIW,laofiw,0.0,0.0,,,,main,,Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings,2018
diff --git a/site/datasets/verified/lfpw.csv b/site/datasets/verified/lfpw.csv
new file mode 100644
index 00000000..a2b6a265
--- /dev/null
+++ b/site/datasets/verified/lfpw.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,LFWP,lfpw,0.0,0.0,,,,main,,Localizing Parts of Faces Using a Consensus of Exemplars,2011
diff --git a/site/datasets/verified/lfw.csv b/site/datasets/verified/lfw.csv
new file mode 100644
index 00000000..e22ec3c1
--- /dev/null
+++ b/site/datasets/verified/lfw.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,LFW,lfw,0.0,0.0,,,,main,,Labeled Faces in the Wild : Updates and New Reporting Procedures,2014
diff --git a/site/datasets/verified/market_1501.csv b/site/datasets/verified/market_1501.csv
new file mode 100644
index 00000000..8561b33f
--- /dev/null
+++ b/site/datasets/verified/market_1501.csv
@@ -0,0 +1,177 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,Market 1501,market_1501,0.0,0.0,,,,main,,Scalable Person Re-identification: A Benchmark,2015
+1,China,Market 1501,market_1501,31.83907195,117.26420748,University of Science and Technology of China,edu,5b309f6d98c503efb679eda51bd898543fb746f9,citation,https://arxiv.org/pdf/1809.05864.pdf,In Defense of the Classification Loss for Person Re-Identification,2018
+2,United States,Market 1501,market_1501,42.3614256,-71.0812092,Microsoft Research Asia,company,5b309f6d98c503efb679eda51bd898543fb746f9,citation,https://arxiv.org/pdf/1809.05864.pdf,In Defense of the Classification Loss for Person Re-Identification,2018
+3,United States,Market 1501,market_1501,39.2899685,-76.62196103,University of Maryland,edu,fe3f8826f615cc5ada33b01777b9f9dc93e0023c,citation,https://arxiv.org/pdf/1901.07702.pdf,Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems,2019
+4,China,Market 1501,market_1501,24.4399419,118.09301781,Xiamen University,edu,d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6,citation,https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf,Generalizing a Person Retrieval Model Hetero- and Homogeneously,2018
+5,Australia,Market 1501,market_1501,-33.8809651,151.20107299,University of Technology Sydney,edu,d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6,citation,https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf,Generalizing a Person Retrieval Model Hetero- and Homogeneously,2018
+6,Australia,Market 1501,market_1501,-35.2776999,149.118527,Australian National University,edu,d95ce873ed42b7c7facaa4c1e9c72b57b4e279f6,citation,https://pdfs.semanticscholar.org/d95c/e873ed42b7c7facaa4c1e9c72b57b4e279f6.pdf,Generalizing a Person Retrieval Model Hetero- and Homogeneously,2018
+7,China,Market 1501,market_1501,31.20081505,121.42840681,Shanghai Jiao Tong University,edu,927ec8dde9eb0e3bc5bf0b1a0ae57f9cf745fd9c,citation,https://arxiv.org/pdf/1804.01438.pdf,Learning Discriminative Features with Multiple Granularities for Person Re-Identification,2018
+8,China,Market 1501,market_1501,31.83907195,117.26420748,University of Science and Technology of China,edu,04ca65f1454f1014ef5af5bfafb7aee576ee1be6,citation,https://arxiv.org/pdf/1812.08967.pdf,Densely Semantically Aligned Person Re-Identification,2018
+9,United States,Market 1501,market_1501,42.3614256,-71.0812092,Microsoft Research Asia,company,04ca65f1454f1014ef5af5bfafb7aee576ee1be6,citation,https://arxiv.org/pdf/1812.08967.pdf,Densely Semantically Aligned Person Re-Identification,2018
+10,China,Market 1501,market_1501,39.9601488,116.35193921,Beijing University of Posts and Telecommunications,edu,7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20,citation,https://arxiv.org/pdf/1803.09937.pdf,Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification,2018
+11,Singapore,Market 1501,market_1501,1.3484104,103.68297965,Nanyang Technological University,edu,7daa2c0f76fd3bfc7feadf313d6ac7504d4ecd20,citation,https://arxiv.org/pdf/1803.09937.pdf,Dual Attention Matching Network for Context-Aware Feature Sequence Based Person Re-identification,2018
+12,China,Market 1501,market_1501,32.0565957,118.77408833,Nanjing University,edu,08b28a8f2699501d46d87956cbaa37255000daa3,citation,https://arxiv.org/pdf/1804.03864.pdf,MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification,2018
+13,Australia,Market 1501,market_1501,-34.40505545,150.87834655,University of Wollongong,edu,08b28a8f2699501d46d87956cbaa37255000daa3,citation,https://arxiv.org/pdf/1804.03864.pdf,MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification,2018
+14,United Kingdom,Market 1501,market_1501,51.5247272,-0.03931035,Queen Mary University of London,edu,baf5ab5e8972e9366951b7e66951e05e2a4b3e36,citation,https://arxiv.org/pdf/1802.08122.pdf,Harmonious Attention Network for Person Re-identification,2018
+15,United Kingdom,Market 1501,market_1501,52.3793131,-1.5604252,University of Warwick,edu,124d60fae338b1f87455d1fc4ede5fcfd806da1a,citation,https://arxiv.org/pdf/1807.01440.pdf,Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification,2018
+16,Singapore,Market 1501,market_1501,1.3484104,103.68297965,Nanyang Technological University,edu,124d60fae338b1f87455d1fc4ede5fcfd806da1a,citation,https://arxiv.org/pdf/1807.01440.pdf,Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification,2018
+17,Australia,Market 1501,market_1501,-35.0636071,147.3552234,Charles Sturt University,edu,124d60fae338b1f87455d1fc4ede5fcfd806da1a,citation,https://arxiv.org/pdf/1807.01440.pdf,Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification,2018
+18,United States,Market 1501,market_1501,33.776033,-84.39884086,Georgia Institute of Technology,edu,45a44e61236f7c144d9ec11561e236b2960c7cf6,citation,https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf,Multi-object Tracking with Neural Gating Using Bilinear LSTM,2018
+19,United States,Market 1501,market_1501,45.5198289,-122.67797964,Oregon State University,edu,45a44e61236f7c144d9ec11561e236b2960c7cf6,citation,https://pdfs.semanticscholar.org/4eb8/4fd65703fc92863f9f589e3a07e6c841f7c4.pdf,Multi-object Tracking with Neural Gating Using Bilinear LSTM,2018
+20,China,Market 1501,market_1501,34.1235825,108.83546,Xidian University,edu,55355b0317f6e0c5218887441de71f05da4b42f6,citation,https://arxiv.org/pdf/1811.12150.pdf,Parameter-Free Spatial Attention Network for Person Re-Identification,2018
+21,Germany,Market 1501,market_1501,49.2579566,7.04577417,Max Planck Institute for Informatics,edu,55355b0317f6e0c5218887441de71f05da4b42f6,citation,https://arxiv.org/pdf/1811.12150.pdf,Parameter-Free Spatial Attention Network for Person Re-Identification,2018
+22,China,Market 1501,market_1501,31.2284923,121.40211389,East China Normal University,edu,e1af55ad7bb26e5e1acde3ec6c5c43cffe884b04,citation,https://pdfs.semanticscholar.org/e1af/55ad7bb26e5e1acde3ec6c5c43cffe884b04.pdf,Person Re-identification by Mid-level Attribute and Part-based Identity Learning,2018
+23,Australia,Market 1501,market_1501,-35.2776999,149.118527,Australian National University,edu,c66350cbdee8c6873cc99807d342e932594aa0b9,citation,https://arxiv.org/pdf/1812.02162.pdf,Dissecting Person Re-identification from the Viewpoint of Viewpoint,2018
+24,Brazil,Market 1501,market_1501,-27.5953995,-48.6154218,University of Campinas,edu,b986a535e45751cef684a30631a74476e911a749,citation,https://arxiv.org/pdf/1807.05618.pdf,Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models,2018
+25,South Korea,Market 1501,market_1501,37.26728,126.9841151,Seoul National University,edu,315df9b7dd354ae78ddf1049fb428b086eee632c,citation,https://arxiv.org/pdf/1804.07094.pdf,Part-Aligned Bilinear Representations for Person Re-identification,2018
+26,Germany,Market 1501,market_1501,48.7468939,9.0805141,Max Planck Institute for Intelligent Systems,edu,315df9b7dd354ae78ddf1049fb428b086eee632c,citation,https://arxiv.org/pdf/1804.07094.pdf,Part-Aligned Bilinear Representations for Person Re-identification,2018
+27,United States,Market 1501,market_1501,47.6423318,-122.1369302,Microsoft,company,315df9b7dd354ae78ddf1049fb428b086eee632c,citation,https://arxiv.org/pdf/1804.07094.pdf,Part-Aligned Bilinear Representations for Person Re-identification,2018
+28,Australia,Market 1501,market_1501,-33.8809651,151.20107299,University of Technology Sydney,edu,7f23a4bb0c777dd72cca7665a5f370ac7980217e,citation,https://arxiv.org/pdf/1703.07220.pdf,Improving Person Re-identification by Attribute and Identity Learning,2017
+29,United States,Market 1501,market_1501,40.1019523,-88.2271615,UIUC,edu,cc78e3f1e531342f639e4a1fc8107a7a778ae1cf,citation,https://arxiv.org/pdf/1811.10144.pdf,One Shot Domain Adaptation for Person Re-Identification,2018
+30,China,Market 1501,market_1501,22.053565,113.39913285,Jilin University,edu,4abf902cefca527f707e4f76dd4e14fcd5d47361,citation,https://arxiv.org/pdf/1811.11510.pdf,Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification,2018
+31,China,Market 1501,market_1501,32.0565957,118.77408833,Nanjing University,edu,088e7b24bd1cf6e5922ae6c80d37439e05fadce9,citation,https://arxiv.org/pdf/1711.07155.pdf,Let Features Decide for Themselves: Feature Mask Network for Person Re-identification,2017
+32,China,Market 1501,market_1501,22.4162632,114.2109318,Chinese University of Hong Kong,edu,4f8e06ac894e9cc1eb1617a293e43448930c7d4f,citation,https://arxiv.org/pdf/1810.02936.pdf,FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification,2018
+33,China,Market 1501,market_1501,39.993008,116.329882,SenseTime,company,4f8e06ac894e9cc1eb1617a293e43448930c7d4f,citation,https://arxiv.org/pdf/1810.02936.pdf,FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification,2018
+34,United States,Market 1501,market_1501,39.3299013,-76.6205177,Johns Hopkins University,edu,4f8e06ac894e9cc1eb1617a293e43448930c7d4f,citation,https://arxiv.org/pdf/1810.02936.pdf,FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification,2018
+35,China,Market 1501,market_1501,31.83907195,117.26420748,University of Science and Technology of China,edu,4f8e06ac894e9cc1eb1617a293e43448930c7d4f,citation,https://arxiv.org/pdf/1810.02936.pdf,FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification,2018
+36,China,Market 1501,market_1501,30.19331415,120.11930822,Zhejiang University,edu,84984c7201a7e5bc8ef4c01f0a7cfbe08c2c523b,citation,https://arxiv.org/pdf/1804.06964.pdf,GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning,2018
+37,China,Market 1501,market_1501,30.5097537,114.4062881,Huazhong University of Science and Technology,edu,c753521ba6fb06c12369d6fff814bb704c682ef5,citation,https://pdfs.semanticscholar.org/c753/521ba6fb06c12369d6fff814bb704c682ef5.pdf,Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification,2018
+38,China,Market 1501,market_1501,22.4162632,114.2109318,Chinese University of Hong Kong,edu,0a808a17f5c86413bd552a324ee6ba180a12f46d,citation,https://arxiv.org/pdf/1808.01571.pdf,Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association,2018
+39,China,Market 1501,market_1501,39.993008,116.329882,SenseTime,company,0a808a17f5c86413bd552a324ee6ba180a12f46d,citation,https://arxiv.org/pdf/1808.01571.pdf,Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association,2018
+40,China,Market 1501,market_1501,34.250803,108.983693,Xi’an Jiaotong University,edu,0a808a17f5c86413bd552a324ee6ba180a12f46d,citation,https://arxiv.org/pdf/1808.01571.pdf,Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association,2018
+41,Germany,Market 1501,market_1501,48.7468939,9.0805141,"Max Planck Instutite for Intelligent Systems, Tüebingen",edu,9db841848aa96f60e765299de4cce7abe5ccb47d,citation,http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf,Multiple People Tracking by Lifted Multicut and Person Re-identification,2017
+42,Germany,Market 1501,market_1501,49.2578657,7.0457956,"Max-Planck-Institut für Informatik, Saarbrücken, Germany",edu,9db841848aa96f60e765299de4cce7abe5ccb47d,citation,http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf,Multiple People Tracking by Lifted Multicut and Person Re-identification,2017
+43,France,Market 1501,market_1501,48.8457981,2.3567236,Pierre and Marie Curie University,edu,231a12de5dedddf1184ae9caafbc4a954ce584c3,citation,https://pdfs.semanticscholar.org/231a/12de5dedddf1184ae9caafbc4a954ce584c3.pdf,Closed and Open World Multi-shot Person Re-identification. (Ré-identification de personnes à partir de multiples images dans le cadre de bases d'identités fermées et ouvertes),2017
+44,China,Market 1501,market_1501,30.5097537,114.4062881,Huazhong University of Science and Technology,edu,07dead6b98379faac1cf0b2cb34a5db842ab9de9,citation,https://arxiv.org/pdf/1711.10658.pdf,Deep-Person: Learning Discriminative Deep Features for Person Re-Identification,2017
+45,Canada,Market 1501,market_1501,46.7817463,-71.2747424,Université Laval,edu,a743127b44397b7a017a65a7ad52d0d7ccb4db93,citation,https://arxiv.org/pdf/1804.10094.pdf,Domain Adaptation Through Synthesis for Unsupervised Person Re-identification,2018
+46,Australia,Market 1501,market_1501,-35.2776999,149.118527,Australian National University,edu,12d62f1360587fdecee728e6c509acc378f38dc9,citation,https://arxiv.org/pdf/1805.06118.pdf,Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification,2018
+47,China,Market 1501,market_1501,32.20541,118.726956,Nanjing University of Information Science & Technology,edu,12d62f1360587fdecee728e6c509acc378f38dc9,citation,https://arxiv.org/pdf/1805.06118.pdf,Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification,2018
+48,Australia,Market 1501,market_1501,-33.8809651,151.20107299,University of Technology Sydney,edu,12d62f1360587fdecee728e6c509acc378f38dc9,citation,https://arxiv.org/pdf/1805.06118.pdf,Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification,2018
+49,China,Market 1501,market_1501,40.0044795,116.370238,Chinese Academy of Sciences,edu,14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e,citation,https://arxiv.org/pdf/1807.11206.pdf,Hard-Aware Point-to-Set Deep Metric for Person Re-identification,2018
+50,China,Market 1501,market_1501,30.5097537,114.4062881,Huazhong University of Science and Technology,edu,14b3a7aa61c15fd9cab0a4d8bc2a205a89fb572e,citation,https://arxiv.org/pdf/1807.11206.pdf,Hard-Aware Point-to-Set Deep Metric for Person Re-identification,2018
+51,China,Market 1501,market_1501,22.304572,114.17976285,Hong Kong Polytechnic University,edu,fea0895326b663bf72be89151a751362db8ae881,citation,https://arxiv.org/pdf/1804.08866.pdf,Homocentric Hypersphere Feature Embedding for Person Re-identification,2018
+52,China,Market 1501,market_1501,22.4162632,114.2109318,Chinese University of Hong Kong,edu,0c769c19d894e0dbd6eb314781dc1db3c626df57,citation,https://arxiv.org/pdf/1604.01850.pdf,Joint Detection and Identification Feature Learning for Person Search,2017
+53,China,Market 1501,market_1501,39.993008,116.329882,SenseTime,company,0c769c19d894e0dbd6eb314781dc1db3c626df57,citation,https://arxiv.org/pdf/1604.01850.pdf,Joint Detection and Identification Feature Learning for Person Search,2017
+54,China,Market 1501,market_1501,23.09461185,113.28788994,Sun Yat-Sen University,edu,0c769c19d894e0dbd6eb314781dc1db3c626df57,citation,https://arxiv.org/pdf/1604.01850.pdf,Joint Detection and Identification Feature Learning for Person Search,2017
+55,China,Market 1501,market_1501,30.209484,120.220912,"Hikvision Digital Technology Co., Ltd.",company,ed3991046e6dfba0c5cebdbbe914cc3aa06d0235,citation,https://arxiv.org/pdf/1812.06576.pdf,Learning Incremental Triplet Margin for Person Re-identification,2019
+56,China,Market 1501,market_1501,24.4399419,118.09301781,Xiamen University,edu,e746447afc4898713a0bcf2bb560286eb4d20019,citation,https://arxiv.org/pdf/1811.02074.pdf,Leveraging Virtual and Real Person for Unsupervised Person Re-identification,2018
+57,United States,Market 1501,market_1501,40.4441619,-79.94272826,Carnegie Mellon University,edu,76fb9e2963928bf8e940944d45c13d52db947702,citation,https://arxiv.org/pdf/1710.00478.pdf,Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification,2017
+58,China,Market 1501,market_1501,30.19331415,120.11930822,Zhejiang University,edu,76fb9e2963928bf8e940944d45c13d52db947702,citation,https://arxiv.org/pdf/1710.00478.pdf,Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification,2017
+59,Italy,Market 1501,market_1501,45.434532,12.326197,"DAIS, Università Ca’ Foscari, Venice, Italy",edu,bee609ea6e71aba9b449731242efdb136d556222,citation,https://arxiv.org/pdf/1706.06196.pdf,Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets,2017
+60,Italy,Market 1501,market_1501,45.4377672,12.321807,University Iuav of Venice,edu,bee609ea6e71aba9b449731242efdb136d556222,citation,https://arxiv.org/pdf/1706.06196.pdf,Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets,2017
+61,India,Market 1501,market_1501,13.0222347,77.56718325,Indian Institute of Science Bangalore,edu,317f5a56519df95884cce81cfba180ee3adaf5a5,citation,https://arxiv.org/pdf/1807.07295.pdf,Operator-In-The-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification,2018
+62,Spain,Market 1501,market_1501,41.5007811,2.11143663,Universitat Autònoma de Barcelona,edu,388b03244e7cdf28c750d7f6d4b4eb64219c3e7a,citation,https://arxiv.org/pdf/1812.02937.pdf,Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation,2018
+63,China,Market 1501,market_1501,39.10041,121.821932,Dalian University,edu,ae5983048e59a339c77fee89e9279a4a787ba985,citation,https://arxiv.org/pdf/1705.02145.pdf,Part-Based Deep Hashing for Large-Scale Person Re-Identification,2017
+64,Australia,Market 1501,market_1501,-33.8809651,151.20107299,University of Technology Sydney,edu,ae5983048e59a339c77fee89e9279a4a787ba985,citation,https://arxiv.org/pdf/1705.02145.pdf,Part-Based Deep Hashing for Large-Scale Person Re-Identification,2017
+65,United States,Market 1501,market_1501,29.58333105,-98.61944505,University of Texas at San Antonio,edu,ae5983048e59a339c77fee89e9279a4a787ba985,citation,https://arxiv.org/pdf/1705.02145.pdf,Part-Based Deep Hashing for Large-Scale Person Re-Identification,2017
+66,Germany,Market 1501,market_1501,49.10184375,8.4331256,Karlsruhe Institute of Technology,edu,9812542cae5a470ea601e7c3a871331694105093,citation,http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Schumann_Person_Re-Identification_by_CVPR_2017_paper.pdf,Person Re-identification by Deep Learning Attribute-Complementary Information,2017
+67,China,Market 1501,market_1501,34.250803,108.983693,Xi’an Jiaotong University,edu,e1dcc3946fa750da4bc05b1154b6321db163ad62,citation,http://gr.xjtu.edu.cn/c/document_library/get_file?folderId=1540809&name=DLFE-80365.pdf,Similarity Learning with Spatial Constraints for Person Re-identification,2016
+68,United States,Market 1501,market_1501,42.366183,-71.092455,Mitsubishi Electric Research Laboratories,company,bb4f83458976755e9310b241a689c8d21b481238,citation,http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Jones_Improving_Face_Verification_ICCV_2017_paper.pdf,Improving Face Verification and Person Re-Identification Accuracy Using Hyperplane Similarity,2017
+69,United States,Market 1501,market_1501,42.3383668,-71.08793524,Northeastern University,edu,32dc3e04dea2306ec34ca3f39db27a2b0a49e0a1,citation,http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w21/Gou_moM_Mean_of_ICCV_2017_paper.pdf,moM: Mean of Moments Feature for Person Re-identification,2017
+70,United States,Market 1501,market_1501,42.3383668,-71.08793524,Northeastern University,edu,0deca8c53adcc13d8da72050d9a4b638da52264b,citation,https://pdfs.semanticscholar.org/0dec/a8c53adcc13d8da72050d9a4b638da52264b.pdf,"A Comprehensive Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets",2016
+71,Australia,Market 1501,market_1501,-33.8809651,151.20107299,University of Technology Sydney,edu,193089d56758ab88391d846edd08d359b1f9a863,citation,https://arxiv.org/pdf/1611.05666.pdf,A Discriminatively Learned CNN Embedding for Person Reidentification,2017
+72,China,Market 1501,market_1501,31.821994,117.28059,"USTC, Hefei, China",edu,83c19722450e8f7dcb89dabb38265f19efafba27,citation,https://arxiv.org/pdf/1803.02983.pdf,A framework with updateable joint images re-ranking for Person Re-identification.,2018
+73,Singapore,Market 1501,market_1501,1.3484104,103.68297965,Nanyang Technological University,edu,6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e,citation,https://arxiv.org/pdf/1607.08381.pdf,A Siamese Long Short-Term Memory Architecture for Human Re-Identification,2016
+74,China,Market 1501,market_1501,40.00229045,116.32098908,Tsinghua University,edu,6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e,citation,https://arxiv.org/pdf/1607.08381.pdf,A Siamese Long Short-Term Memory Architecture for Human Re-Identification,2016
+75,Australia,Market 1501,market_1501,-33.88890695,151.18943366,University of Sydney,edu,6bb8a5f9e2ddf1bdcd42aa7212eb0499992c1e9e,citation,https://arxiv.org/pdf/1607.08381.pdf,A Siamese Long Short-Term Memory Architecture for Human Re-Identification,2016
+76,Germany,Market 1501,market_1501,49.4109266,8.6979529,Heidelberg University,edu,5fdb3533152f9862e3e4c2282cd5f1400af18956,citation,https://arxiv.org/pdf/1804.04694.pdf,A Variational U-Net for Conditional Appearance and Shape Generation,2018
+77,China,Market 1501,market_1501,23.09461185,113.28788994,Sun Yat-Sen University,edu,635efc8bddec1cf94b1ee4951e4d216331758422,citation,https://arxiv.org/pdf/1812.00914.pdf,Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling,2018
+78,Canada,Market 1501,market_1501,53.5238572,-113.52282665,University of Alberta,edu,635efc8bddec1cf94b1ee4951e4d216331758422,citation,https://arxiv.org/pdf/1812.00914.pdf,Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling,2018
+79,China,Market 1501,market_1501,39.9808333,116.34101249,Beihang University,edu,19be4580df2e76b70a39af6e749bf189e1ca3975,citation,https://arxiv.org/pdf/1803.10914.pdf,Adversarial Binary Coding for Efficient Person Re-identification,2018
+80,United Kingdom,Market 1501,market_1501,51.7534538,-1.25400997,University of Oxford,edu,47f4dec5f733e933c8b9a8fdcda9419741f2bf62,citation,https://arxiv.org/pdf/1901.10650.pdf,Adversarial Metric Attack for Person Re-identification,2019
+81,United States,Market 1501,market_1501,39.3299013,-76.6205177,Johns Hopkins University,edu,47f4dec5f733e933c8b9a8fdcda9419741f2bf62,citation,https://arxiv.org/pdf/1901.10650.pdf,Adversarial Metric Attack for Person Re-identification,2019
+82,China,Market 1501,market_1501,23.09461185,113.28788994,Sun Yat-Sen University,edu,eee4cc389ca85d23700cba9627fa11e5ee65d740,citation,https://arxiv.org/pdf/1807.10482.pdf,Adversarial Open-World Person Re-Identification,2018
+83,China,Market 1501,market_1501,23.09461185,113.28788994,Sun Yat-Sen University,edu,7969cc315bbafcd38a637eb8cd5d45ba897be319,citation,https://arxiv.org/pdf/1604.07807.pdf,An enhanced deep feature representation for person re-identification,2016
+84,China,Market 1501,market_1501,22.3874201,114.2082222,Hong Kong Baptist University,edu,c0e9d06383442d89426808d723ca04586db91747,citation,https://pdfs.semanticscholar.org/c0e9/d06383442d89426808d723ca04586db91747.pdf,Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification,2018
+85,China,Market 1501,market_1501,30.5097537,114.4062881,Huazhong University of Science and Technology,edu,c0e9d06383442d89426808d723ca04586db91747,citation,https://pdfs.semanticscholar.org/c0e9/d06383442d89426808d723ca04586db91747.pdf,Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification,2018
+86,Japan,Market 1501,market_1501,35.6924853,139.7582533,"National Institute of Informatics, Japan",edu,c0e9d06383442d89426808d723ca04586db91747,citation,https://pdfs.semanticscholar.org/c0e9/d06383442d89426808d723ca04586db91747.pdf,Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification,2018
+87,China,Market 1501,market_1501,40.00229045,116.32098908,Tsinghua University,edu,5e1514de6d20d3b1d148d6925edc89a6c891ce47,citation,http://openaccess.thecvf.com/content_cvpr_2017/papers/Lin_Consistent-Aware_Deep_Learning_CVPR_2017_paper.pdf,Consistent-Aware Deep Learning for Person Re-identification in a Camera Network,2017
+88,China,Market 1501,market_1501,40.0044795,116.370238,Chinese Academy of Sciences,edu,bff1e1ecf00c37ec91edc7c5c85c1390726c3687,citation,https://arxiv.org/pdf/1511.07545.pdf,Constrained Deep Metric Learning for Person Re-identification,2015
+89,China,Market 1501,market_1501,40.00229045,116.32098908,Tsinghua University,edu,6ce6da7a6b2d55fac604d986595ba6979580393b,citation,https://arxiv.org/pdf/1611.06026.pdf,Cross Domain Knowledge Transfer for Person Re-identification,2016
+90,China,Market 1501,market_1501,23.0502042,113.39880323,South China University of Technology,edu,c249f0aa1416c51bf82be5bb47cbeb8aac6dee35,citation,https://arxiv.org/pdf/1806.04533.pdf,Cross-Dataset Person Re-identification Using Similarity Preserved Generative Adversarial Networks,2018
+91,China,Market 1501,market_1501,40.00229045,116.32098908,Tsinghua University,edu,4f83ef534c164bd7fbd1e71fe6a3d09a30326b26,citation,https://arxiv.org/pdf/1810.10221.pdf,Cross-Resolution Person Re-identification with Deep Antithetical Learning,2018
+92,China,Market 1501,market_1501,28.16437,112.93251,Central South University,edu,a6bc69831dea3efc5804b8ab65cf5a06688ddae0,citation,https://arxiv.org/pdf/1801.01760.pdf,Crossing Generative Adversarial Networks for Cross-View Person Re-identification,2018
+93,Australia,Market 1501,market_1501,-27.49741805,153.01316956,University of Queensland,edu,a6bc69831dea3efc5804b8ab65cf5a06688ddae0,citation,https://arxiv.org/pdf/1801.01760.pdf,Crossing Generative Adversarial Networks for Cross-View Person Re-identification,2018
+94,Australia,Market 1501,market_1501,-33.91758275,151.23124025,University of New South Wales,edu,a6bc69831dea3efc5804b8ab65cf5a06688ddae0,citation,https://arxiv.org/pdf/1801.01760.pdf,Crossing Generative Adversarial Networks for Cross-View Person Re-identification,2018
+95,China,Market 1501,market_1501,39.98177,116.330086,National Laboratory of Pattern Recognition,edu,34b8e675d4651db45e484da34f3c415c60ef3ea2,citation,https://arxiv.org/pdf/1707.01220.pdf,DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer,2018
+96,China,Market 1501,market_1501,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,34b8e675d4651db45e484da34f3c415c60ef3ea2,citation,https://arxiv.org/pdf/1707.01220.pdf,DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer,2018
+97,Australia,Market 1501,market_1501,-27.49741805,153.01316956,University of Queensland,edu,d1ba33106567c880bf99daba2bd31fe88df4ecba,citation,https://arxiv.org/pdf/1706.03160.pdf,Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification,2018
+98,Australia,Market 1501,market_1501,-33.91758275,151.23124025,University of New South Wales,edu,d1ba33106567c880bf99daba2bd31fe88df4ecba,citation,https://arxiv.org/pdf/1706.03160.pdf,Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification,2018
+99,Australia,Market 1501,market_1501,-33.88890695,151.18943366,University of Sydney,edu,d1ba33106567c880bf99daba2bd31fe88df4ecba,citation,https://arxiv.org/pdf/1706.03160.pdf,Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification,2018
+100,China,Market 1501,market_1501,39.9922379,116.30393816,Peking University,edu,2788f382e4396290acfc8b21df45cc811586e66e,citation,https://arxiv.org/pdf/1605.03259.pdf,Deep Attributes Driven Multi-Camera Person Re-identification,2016
+101,China,Market 1501,market_1501,40.0044795,116.370238,Chinese Academy of Sciences,edu,2788f382e4396290acfc8b21df45cc811586e66e,citation,https://arxiv.org/pdf/1605.03259.pdf,Deep Attributes Driven Multi-Camera Person Re-identification,2016
+102,United States,Market 1501,market_1501,29.58333105,-98.61944505,University of Texas at San Antonio,edu,2788f382e4396290acfc8b21df45cc811586e66e,citation,https://arxiv.org/pdf/1605.03259.pdf,Deep Attributes Driven Multi-Camera Person Re-identification,2016
+103,United States,Market 1501,market_1501,40.4441619,-79.94272826,Carnegie Mellon University,edu,63e1ce7de0fdbce6e03d25b5001c670c30139aa8,citation,https://arxiv.org/pdf/1707.07791.pdf,Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification,2018
+104,China,Market 1501,market_1501,34.250803,108.983693,Xi’an Jiaotong University,edu,63e1ce7de0fdbce6e03d25b5001c670c30139aa8,citation,https://arxiv.org/pdf/1707.07791.pdf,Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification,2018
+105,United Kingdom,Market 1501,market_1501,51.5247272,-0.03931035,Queen Mary University of London,edu,e3e36ccd836458d51676789fb133b092d42dac16,citation,https://arxiv.org/pdf/1610.05047.pdf,Deep learning prototype domains for person re-identification,2017
+106,Australia,Market 1501,market_1501,-34.9189226,138.60423668,University of Adelaide,edu,63ac85ec1bff6009bb36f0b24ef189438836bc91,citation,https://arxiv.org/pdf/1606.01595.pdf,Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification,2017
+107,China,Market 1501,market_1501,40.0044795,116.370238,Chinese Academy of Sciences,edu,9a81f46fcf8c6c0efbe34649552b5056ce419a3d,citation,https://arxiv.org/pdf/1705.03332.pdf,Deep person re-identification with improved embedding and efficient training,2017
+108,China,Market 1501,market_1501,34.250803,108.983693,Xi’an Jiaotong University,edu,6562c40932ea734f46e5068555fbf3a185a345de,citation,https://arxiv.org/pdf/1707.00409.pdf,Deep Ranking Model by Large Adaptive Margin Learning for Person Re-identification,2018
+109,United Kingdom,Market 1501,market_1501,51.5247272,-0.03931035,Queen Mary University of London,edu,35b9af6057801fb2f28881840c8427c9cf648757,citation,https://arxiv.org/pdf/1707.02785.pdf,Deep Reinforcement Learning Attention Selection For Person Re-Identification,2017
+110,China,Market 1501,market_1501,40.0044795,116.370238,Chinese Academy of Sciences,edu,8961677300a9ee30ca51e1a3cf9815b4a162265b,citation,https://arxiv.org/pdf/1707.00798.pdf,Deep Representation Learning with Part Loss for Person Re-Identification,2017
+111,China,Market 1501,market_1501,39.9922379,116.30393816,Peking University,edu,8961677300a9ee30ca51e1a3cf9815b4a162265b,citation,https://arxiv.org/pdf/1707.00798.pdf,Deep Representation Learning with Part Loss for Person Re-Identification,2017
+112,United States,Market 1501,market_1501,29.58333105,-98.61944505,University of Texas at San Antonio,edu,8961677300a9ee30ca51e1a3cf9815b4a162265b,citation,https://arxiv.org/pdf/1707.00798.pdf,Deep Representation Learning with Part Loss for Person Re-Identification,2017
+113,China,Market 1501,market_1501,34.250803,108.983693,Xi’an Jiaotong University,edu,123286df95d93600f4281c60a60c69121c6440c7,citation,https://arxiv.org/pdf/1710.05711.pdf,Deep Self-Paced Learning for Person Re-Identification,2018
+114,China,Market 1501,market_1501,31.20081505,121.42840681,Shanghai Jiao Tong University,edu,d8949f4f4085b15978e20ed7c5c34a080dd637f2,citation,http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Chen_Deep_Spatial-Temporal_Fusion_CVPR_2017_paper.pdf,Deep Spatial-Temporal Fusion Network for Video-Based Person Re-identification,2017
+115,China,Market 1501,market_1501,39.9922379,116.30393816,Peking University,edu,31c0968fb5f587918f1c49bf7fa51453b3e89cf7,citation,https://arxiv.org/pdf/1611.05244.pdf,Deep Transfer Learning for Person Re-Identification,2018
+116,China,Market 1501,market_1501,30.19331415,120.11930822,Zhejiang University,edu,50bf4f77d8b66ec838ad59a869630eace7e0e4a7,citation,https://arxiv.org/pdf/1707.07256.pdf,Deeply-Learned Part-Aligned Representations for Person Re-identification,2017
+117,United States,Market 1501,market_1501,47.6423318,-122.1369302,Microsoft,company,50bf4f77d8b66ec838ad59a869630eace7e0e4a7,citation,https://arxiv.org/pdf/1707.07256.pdf,Deeply-Learned Part-Aligned Representations for Person Re-identification,2017
+118,China,Market 1501,market_1501,39.9601488,116.35193921,Beijing University of Posts and Telecommunications,edu,d497543834f23f72f4092252b613bf3adaefc606,citation,https://arxiv.org/pdf/1805.07698.pdf,Density-Adaptive Kernel based Re-Ranking for Person Re-Identification,2018
+119,China,Market 1501,market_1501,23.09461185,113.28788994,Sun Yat-Sen University,edu,19a0f34440c25323544b90d9d822a212bfed0eb5,citation,https://arxiv.org/pdf/1901.10100.pdf,Discovering Underlying Person Structure Pattern with Relative Local Distance for Person Re-identification,2019
+120,China,Market 1501,market_1501,34.250803,108.983693,Xi’an Jiaotong University,edu,7b2e0c87aece7ff1404ef2034d4c5674770301b2,citation,https://arxiv.org/pdf/1807.01455.pdf,Discriminative Feature Learning with Foreground Attention for Person Re-Identification,2018
+121,China,Market 1501,market_1501,31.2284923,121.40211389,East China Normal University,edu,0353fe24ecd237f4d9ae4dbc277a6a67a69ce8ed,citation,https://pdfs.semanticscholar.org/0353/fe24ecd237f4d9ae4dbc277a6a67a69ce8ed.pdf,Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss,2018
+122,United Kingdom,Market 1501,market_1501,55.94951105,-3.19534913,University of Edinburgh,edu,68621721705e3115355268450b4b447362e455c6,citation,https://arxiv.org/pdf/1812.02605.pdf,Disjoint Label Space Transfer Learning with Common Factorised Space,2019
+123,China,Market 1501,market_1501,30.5097537,114.4062881,Huazhong University of Science and Technology,edu,d950af49c44bc5d9f4a5cc1634e606004790b1e5,citation,https://arxiv.org/pdf/1708.04169.pdf,Divide and Fuse: A Re-ranking Approach for Person Re-identification,2017
+124,United Arab Emirates,Market 1501,market_1501,24.453884,54.3773438,New York University Abu Dhabi,edu,a94b832facb57ea37b18927b13d2dd4c5fa3a9ea,citation,https://arxiv.org/pdf/1803.09733.pdf,Domain transfer convolutional attribute embedding,2018
+125,China,Market 1501,market_1501,39.9106327,116.3356321,Chinese Academy of Science,edu,7f8d4494aba2a2b11a88bf7de4b8879b047dd69b,citation,http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Easy_Identification_From_CVPR_2018_paper.pdf,Easy Identification from Better Constraints: Multi-shot Person Re-identification from Reference Constraints,2018
+126,United States,Market 1501,market_1501,42.0551164,-87.67581113,Northwestern University,edu,7f8d4494aba2a2b11a88bf7de4b8879b047dd69b,citation,http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_Easy_Identification_From_CVPR_2018_paper.pdf,Easy Identification from Better Constraints: Multi-shot Person Re-identification from Reference Constraints,2018
+127,China,Market 1501,market_1501,40.0044795,116.370238,Chinese Academy of Sciences,edu,ca1db9dc493a045e3fadf8d8209eaa4311bbdc70,citation,https://arxiv.org/pdf/1709.09304.pdf,Effective Image Retrieval via Multilinear Multi-index Fusion,2017
+128,United States,Market 1501,market_1501,29.58333105,-98.61944505,University of Texas at San Antonio,edu,ca1db9dc493a045e3fadf8d8209eaa4311bbdc70,citation,https://arxiv.org/pdf/1709.09304.pdf,Effective Image Retrieval via Multilinear Multi-index Fusion,2017
+129,United States,Market 1501,market_1501,42.0551164,-87.67581113,Northwestern University,edu,00bf7bcf31ee71f5f325ca5307883157ba3d580f,citation,http://openaccess.thecvf.com/content_ICCV_2017/papers/Zhou_Efficient_Online_Local_ICCV_2017_paper.pdf,Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification,2017
+130,China,Market 1501,market_1501,40.0044795,116.370238,Chinese Academy of Sciences,edu,febff0f6faa8dde77848845e4b3e6f6c91180d33,citation,https://arxiv.org/pdf/1611.00137.pdf,Embedding Deep Metric for Person Re-identication A Study Against Large Variations,2016
+131,China,Market 1501,market_1501,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,febff0f6faa8dde77848845e4b3e6f6c91180d33,citation,https://arxiv.org/pdf/1611.00137.pdf,Embedding Deep Metric for Person Re-identication A Study Against Large Variations,2016
+132,China,Market 1501,market_1501,23.09461185,113.28788994,Sun Yat-Sen University,edu,febff0f6faa8dde77848845e4b3e6f6c91180d33,citation,https://arxiv.org/pdf/1611.00137.pdf,Embedding Deep Metric for Person Re-identication A Study Against Large Variations,2016
+133,China,Market 1501,market_1501,31.846918,117.29053367,Hefei University of Technology,edu,fd0e1fecf7e72318a4c53463fd5650720df40281,citation,https://arxiv.org/pdf/1606.04404.pdf,End-to-End Comparative Attention Networks for Person Re-Identification,2017
+134,China,Market 1501,market_1501,39.9041999,116.4073963,"Qihoo 360 AI Institute, Beijing, China",edu,fd0e1fecf7e72318a4c53463fd5650720df40281,citation,https://arxiv.org/pdf/1606.04404.pdf,End-to-End Comparative Attention Networks for Person Re-Identification,2017
+135,Singapore,Market 1501,market_1501,1.2966426,103.7763939,Singapore / National University of Singapore,edu,fd0e1fecf7e72318a4c53463fd5650720df40281,citation,https://arxiv.org/pdf/1606.04404.pdf,End-to-End Comparative Attention Networks for Person Re-Identification,2017
+136,China,Market 1501,market_1501,31.970907,118.8128989,PLA Army Engineering University,edu,c8ac121e9c4eb9964be9c5713f22a95c1c3b57e9,citation,https://arxiv.org/pdf/1901.05798.pdf,Ensemble Feature for Person Re-Identification,2019
+137,Spain,Market 1501,market_1501,41.5008957,2.111553,Autonomous University of Barcelona,edu,fe54a5a10288648f3bd0a71b053cdb896716b552,citation,https://arxiv.org/pdf/1804.04419.pdf,"Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification",2018
+138,Spain,Market 1501,market_1501,41.40657415,2.1945341,Universitat Oberta de Catalunya,edu,fe54a5a10288648f3bd0a71b053cdb896716b552,citation,https://arxiv.org/pdf/1804.04419.pdf,"Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification",2018
+139,Spain,Market 1501,market_1501,41.3868913,2.16352385,University of Barcelona,edu,fe54a5a10288648f3bd0a71b053cdb896716b552,citation,https://arxiv.org/pdf/1804.04419.pdf,"Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification",2018
+140,United States,Market 1501,market_1501,33.2416008,-111.8839083,Intel,company,6a9c3011b5092daa1d0cacda23f20ca4ae74b902,citation,https://arxiv.org/pdf/1812.02465.pdf,Fast and Accurate Person Re-Identification with RMNet.,2018
+141,China,Market 1501,market_1501,39.9808333,116.34101249,Beihang University,edu,91cc3981c304227e13ae151a43fbb124419bc0ce,citation,http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Fast_Person_Re-Identification_CVPR_2017_paper.pdf,Fast Person Re-identification via Cross-Camera Semantic Binary Transformation,2017
+142,United Kingdom,Market 1501,market_1501,52.6221571,1.2409136,University of East Anglia,edu,91cc3981c304227e13ae151a43fbb124419bc0ce,citation,http://openaccess.thecvf.com/content_cvpr_2017/papers/Chen_Fast_Person_Re-Identification_CVPR_2017_paper.pdf,Fast Person Re-identification via Cross-Camera Semantic Binary Transformation,2017
+143,Singapore,Market 1501,market_1501,1.3484104,103.68297965,Nanyang Technological University,edu,6123e52c1a560c88817d8720e05fbff8565271fb,citation,https://arxiv.org/pdf/1607.08378.pdf,Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification,2016
+144,United States,Market 1501,market_1501,38.5336349,-121.79077264,"University of California, Davis",edu,79c959833ff49f860e20b6654dbf4d6acdee0230,citation,https://arxiv.org/pdf/1811.02545.pdf,Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond,2018
+145,China,Market 1501,market_1501,30.19331415,120.11930822,Zhejiang University,edu,79c959833ff49f860e20b6654dbf4d6acdee0230,citation,https://arxiv.org/pdf/1811.02545.pdf,Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond,2018
+146,Taiwan,Market 1501,market_1501,25.0410728,121.6147562,Institute of Information Science,edu,3cbb4cf942ee95d14505c0f83a48ba224abdd00b,citation,https://arxiv.org/pdf/1712.06820.pdf,Hierarchical Cross Network for Person Re-identification,2017
+147,Japan,Market 1501,market_1501,33.8941968,130.8394083,Kyushu Institute of Technology,edu,7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf,citation,https://arxiv.org/pdf/1706.04318.pdf,Hierarchical Gaussian Descriptors with Application to Person Re-Identification,2017
+148,Japan,Market 1501,market_1501,33.59914655,130.22359848,Kyushu University,edu,7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf,citation,https://arxiv.org/pdf/1706.04318.pdf,Hierarchical Gaussian Descriptors with Application to Person Re-Identification,2017
+149,Japan,Market 1501,market_1501,35.9020448,139.93622009,University of Tokyo,edu,7da961cb039b1a01cad9b78d93bdfe2a69ed3ccf,citation,https://arxiv.org/pdf/1706.04318.pdf,Hierarchical Gaussian Descriptors with Application to Person Re-Identification,2017
+150,United States,Market 1501,market_1501,42.3504253,-71.10056114,Boston University,edu,7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d,citation,https://arxiv.org/pdf/1612.01345.pdf,Human-In-The-Loop Person Re-Identification,2016
+151,United Kingdom,Market 1501,market_1501,51.5247272,-0.03931035,Queen Mary University of London,edu,7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d,citation,https://arxiv.org/pdf/1612.01345.pdf,Human-In-The-Loop Person Re-Identification,2016
+152,United Kingdom,Market 1501,market_1501,55.378051,-3.435973,"Vision Semantics Ltd, UK",edu,7c25ed788da1f5f61d8d1da23dd319dfb4e5ac2d,citation,https://arxiv.org/pdf/1612.01345.pdf,Human-In-The-Loop Person Re-Identification,2016
+153,Australia,Market 1501,market_1501,-37.9062737,145.1319449,"CSIRO, Australia",edu,53492cb14b33a26b10c91102daa2d5a2a3ed069d,citation,https://arxiv.org/pdf/1806.07592.pdf,Improving Online Multiple Object tracking with Deep Metric Learning,2018
+154,Germany,Market 1501,market_1501,50.7791703,6.06728733,RWTH Aachen University,edu,a3d11e98794896849ab2304a42bf83e2979e5fb5,citation,https://arxiv.org/pdf/1703.07737.pdf,In Defense of the Triplet Loss for Person Re-Identification,2017
+155,China,Market 1501,market_1501,34.250803,108.983693,Xi’an Jiaotong University,edu,cb8567f074573a0d66d50e75b5a91df283ccd503,citation,https://arxiv.org/pdf/1708.05512.pdf,Large Margin Learning in Set-to-Set Similarity Comparison for Person Reidentification,2018
+156,United Kingdom,Market 1501,market_1501,51.5247272,-0.03931035,Queen Mary University of London,edu,207e0ac5301a3c79af862951b70632ed650f74f7,citation,https://arxiv.org/pdf/1603.02139.pdf,Learning a Discriminative Null Space for Person Re-identification,2016
+157,China,Market 1501,market_1501,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,34cf90fcbf83025666c5c86ec30ac58b632b27b0,citation,https://arxiv.org/pdf/1710.06555.pdf,Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification,2017
+158,United States,Market 1501,market_1501,40.007581,-105.2659417,University of Colorado,edu,ad3be20fe0106d80c567def71fef01146564df4b,citation,https://arxiv.org/pdf/1802.05312.pdf,Learning Deep Disentangled Embeddings With the F-Statistic Loss,2018
+159,Russia,Market 1501,market_1501,55.6846566,37.3407539,"Skolkovo Institute of Science and Technology, Skolkovo, Moscow",edu,218603147709344d4ff66625d83603deee2854bf,citation,https://arxiv.org/pdf/1611.00822.pdf,Learning Deep Embeddings with Histogram Loss,2016
+160,China,Market 1501,market_1501,23.09461185,113.28788994,Sun Yat-Sen University,edu,489decd84645b77d31001d17a66abb92bb96c731,citation,https://arxiv.org/pdf/1803.11333.pdf,Learning View-Specific Deep Networks for Person Re-Identification,2018
+161,Norway,Market 1501,market_1501,63.419499,10.4020771,Norwegian University of Science and Technology,edu,2102915d0c51cfda4d85133bd593ecb9508fa4bb,citation,https://arxiv.org/pdf/1701.03153.pdf,Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification,2018
+162,Italy,Market 1501,market_1501,41.9037626,12.5144384,Sapienza University of Rome,edu,2102915d0c51cfda4d85133bd593ecb9508fa4bb,citation,https://arxiv.org/pdf/1701.03153.pdf,Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification,2018
+163,Italy,Market 1501,market_1501,45.437398,11.003376,University of Verona,edu,2102915d0c51cfda4d85133bd593ecb9508fa4bb,citation,https://arxiv.org/pdf/1701.03153.pdf,Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification,2018
+164,China,Market 1501,market_1501,40.00229045,116.32098908,Tsinghua University,edu,c0387e788a52f10bf35d4d50659cfa515d89fbec,citation,https://pdfs.semanticscholar.org/c038/7e788a52f10bf35d4d50659cfa515d89fbec.pdf,MARS: A Video Benchmark for Large-Scale Person Re-Identification,2016
+165,China,Market 1501,market_1501,40.00229045,116.32098908,Tsinghua University,edu,1e83e2abcb258cd62b160e3f31a490a6bc042e83,citation,https://arxiv.org/pdf/1704.02492.pdf,Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification,2017
+166,China,Market 1501,market_1501,31.8405068,117.2638057,Hefei University,edu,7c9d8593cdf2f8ba9f27906b2b5827b145631a0b,citation,https://arxiv.org/pdf/1810.08534.pdf,MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation,2018
+167,China,Market 1501,market_1501,23.09461185,113.28788994,Sun Yat-Sen University,edu,1565bf91f8fdfe5f5168a5050b1418debc662151,citation,https://arxiv.org/pdf/1711.03368.pdf,One-pass Person Re-identification by Sketch Online Discriminant Analysis,2017
+168,Australia,Market 1501,market_1501,-33.8809651,151.20107299,University of Technology Sydney,edu,592e555ebe4bd2d821230e7074d7e9626af716b0,citation,https://arxiv.org/pdf/1809.02681.pdf,Open Set Adversarial Examples,2018
+169,China,Market 1501,market_1501,40.0044795,116.370238,Chinese Academy of Sciences,edu,fcaa88dcb1a440ef09c4e5d724ed209bfc5d3367,citation,https://arxiv.org/pdf/1811.09928.pdf,PCGAN: Partition-Controlled Human Image Generation,2019
+170,China,Market 1501,market_1501,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,fcaa88dcb1a440ef09c4e5d724ed209bfc5d3367,citation,https://arxiv.org/pdf/1811.09928.pdf,PCGAN: Partition-Controlled Human Image Generation,2019
+171,China,Market 1501,market_1501,22.4162632,114.2109318,Chinese University of Hong Kong,edu,2fad06ed34169a5b1f736112364c58140577a6b4,citation,https://pdfs.semanticscholar.org/2fad/06ed34169a5b1f736112364c58140577a6b4.pdf,Pedestrian Color Naming via Convolutional Neural Network,2016
+172,China,Market 1501,market_1501,22.4162632,114.2109318,Chinese University of Hong Kong,edu,25bb4212af72d64ec20cac533f58f7af1472e057,citation,https://arxiv.org/pdf/1703.08837.pdf,Person Re-Identification by Camera Correlation Aware Feature Augmentation,2018
+173,China,Market 1501,market_1501,28.2290209,112.99483204,"National University of Defense Technology, China",mil,25bb4212af72d64ec20cac533f58f7af1472e057,citation,https://arxiv.org/pdf/1703.08837.pdf,Person Re-Identification by Camera Correlation Aware Feature Augmentation,2018
+174,China,Market 1501,market_1501,23.09461185,113.28788994,Sun Yat-Sen University,edu,25bb4212af72d64ec20cac533f58f7af1472e057,citation,https://arxiv.org/pdf/1703.08837.pdf,Person Re-Identification by Camera Correlation Aware Feature Augmentation,2018
+175,United Kingdom,Market 1501,market_1501,51.5247272,-0.03931035,Queen Mary University of London,edu,744cc8c69255cbe9d992315e456b9efb06f42e20,citation,https://arxiv.org/pdf/1705.04724.pdf,Person Re-Identification by Deep Joint Learning of Multi-Loss Classification,2017
diff --git a/site/datasets/verified/mars.csv b/site/datasets/verified/mars.csv
new file mode 100644
index 00000000..cb6901a5
--- /dev/null
+++ b/site/datasets/verified/mars.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,MARS,mars,0.0,0.0,,,,main,,MARS: A Video Benchmark for Large-Scale Person Re-Identification,2016
diff --git a/site/datasets/verified/megaage.csv b/site/datasets/verified/megaage.csv
new file mode 100644
index 00000000..04702674
--- /dev/null
+++ b/site/datasets/verified/megaage.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,MegaAge,megaage,0.0,0.0,,,,main,,Quantifying Facial Age by Posterior of Age Comparisons,2017
diff --git a/site/datasets/verified/megaface.csv b/site/datasets/verified/megaface.csv
new file mode 100644
index 00000000..d9f78ec3
--- /dev/null
+++ b/site/datasets/verified/megaface.csv
@@ -0,0 +1,4 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,MegaFace,megaface,0.0,0.0,,,,main,,Level Playing Field for Million Scale Face Recognition,2017
+1,Netherlands,MegaFace,megaface,53.21967825,6.56251482,University of Groningen,edu,8efda5708bbcf658d4f567e3866e3549fe045bbb,citation,https://pdfs.semanticscholar.org/8efd/a5708bbcf658d4f567e3866e3549fe045bbb.pdf,Pre-trained Deep Convolutional Neural Networks for Face Recognition,2018
+2,United States,MegaFace,megaface,41.70456775,-86.23822026,University of Notre Dame,edu,e64c166dc5bb33bc61462a8b5ac92edb24d905a1,citation,https://arxiv.org/pdf/1811.01474.pdf,Fast Face Image Synthesis with Minimal Training.,2018
diff --git a/site/datasets/verified/mifs.csv b/site/datasets/verified/mifs.csv
new file mode 100644
index 00000000..4e127e79
--- /dev/null
+++ b/site/datasets/verified/mifs.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,MIFS,mifs,0.0,0.0,,,,main,,Spoofing faces using makeup: An investigative study,2017
diff --git a/site/datasets/verified/miw.csv b/site/datasets/verified/miw.csv
new file mode 100644
index 00000000..11bc2e33
--- /dev/null
+++ b/site/datasets/verified/miw.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,MIW,miw,0.0,0.0,,,,main,,Automatic facial makeup detection with application in face recognition,2013
diff --git a/site/datasets/verified/morph.csv b/site/datasets/verified/morph.csv
new file mode 100644
index 00000000..b0a66a5f
--- /dev/null
+++ b/site/datasets/verified/morph.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,MORPH Commercial,morph,0.0,0.0,,,,main,,MORPH: a longitudinal image database of normal adult age-progression,2006
diff --git a/site/datasets/verified/morph_nc.csv b/site/datasets/verified/morph_nc.csv
new file mode 100644
index 00000000..a14720dd
--- /dev/null
+++ b/site/datasets/verified/morph_nc.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,MORPH Non-Commercial,morph_nc,0.0,0.0,,,,main,,MORPH: a longitudinal image database of normal adult age-progression,2006
diff --git a/site/datasets/verified/mot.csv b/site/datasets/verified/mot.csv
new file mode 100644
index 00000000..ae532522
--- /dev/null
+++ b/site/datasets/verified/mot.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,MOT,mot,0.0,0.0,,,,main,,Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics,2008
diff --git a/site/datasets/verified/msceleb.csv b/site/datasets/verified/msceleb.csv
new file mode 100644
index 00000000..d1a7ec8c
--- /dev/null
+++ b/site/datasets/verified/msceleb.csv
@@ -0,0 +1,127 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,MsCeleb,msceleb,0.0,0.0,,,,main,,MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition,2016
+1,China,MsCeleb,msceleb,22.4162632,114.2109318,Chinese University of Hong Kong,edu,2011d4da646f794456bebb617d1500ddf71989ed,citation,https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf,Transductive Centroid Projection for Semi-supervised Large-Scale Recognition,2018
+2,China,MsCeleb,msceleb,39.993008,116.329882,SenseTime,company,2011d4da646f794456bebb617d1500ddf71989ed,citation,https://pdfs.semanticscholar.org/2011/d4da646f794456bebb617d1500ddf71989ed.pdf,Transductive Centroid Projection for Semi-supervised Large-Scale Recognition,2018
+3,United States,MsCeleb,msceleb,39.2899685,-76.62196103,University of Maryland,edu,23dd8d17ce09c22d367e4d62c1ccf507bcbc64da,citation,https://pdfs.semanticscholar.org/23dd/8d17ce09c22d367e4d62c1ccf507bcbc64da.pdf,Deep Density Clustering of Unconstrained Faces ( Supplementary Material ),2018
+4,United States,MsCeleb,msceleb,37.3936717,-122.0807262,Facebook,company,628a3f027b7646f398c68a680add48c7969ab1d9,citation,https://pdfs.semanticscholar.org/628a/3f027b7646f398c68a680add48c7969ab1d9.pdf,Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition,2017
+5,United States,MsCeleb,msceleb,37.4219999,-122.0840575,Google,company,628a3f027b7646f398c68a680add48c7969ab1d9,citation,https://pdfs.semanticscholar.org/628a/3f027b7646f398c68a680add48c7969ab1d9.pdf,Plan for Final Year Project : HKU-Face : A Large Scale Dataset for Deep Face Recognition,2017
+6,France,MsCeleb,msceleb,46.1476461,-1.1549415,University of La Rochelle,edu,153fbae25efd061f9046970071d0cfe739a35a0e,citation,,FaceLiveNet: End-to-End Networks Combining Face Verification with Interactive Facial Expression-Based Liveness Detection,2018
+7,China,MsCeleb,msceleb,26.89887,112.590435,University of South China,edu,98518fc368d7e1478cef40f5f8fd4468763645ad,citation,http://downloads.hindawi.com/journals/cin/2018/4512473.pdf,A Community Detection Approach to Cleaning Extremely Large Face Database,2018
+8,China,MsCeleb,msceleb,28.2290209,112.99483204,"National University of Defense Technology, China",mil,98518fc368d7e1478cef40f5f8fd4468763645ad,citation,http://downloads.hindawi.com/journals/cin/2018/4512473.pdf,A Community Detection Approach to Cleaning Extremely Large Face Database,2018
+9,China,MsCeleb,msceleb,39.9601488,116.35193921,Beijing University of Posts and Telecommunications,edu,6cdbbced12bff53bcbdde3cdb6d20b4bd02a9d6c,citation,https://arxiv.org/pdf/1811.12026.pdf,Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network,2018
+10,China,MsCeleb,msceleb,39.98177,116.330086,National Laboratory of Pattern Recognition,edu,e47f4a127f41c055fb7893ddc295932ead783c63,citation,https://arxiv.org/pdf/1709.03675.pdf,Adversarial Discriminative Heterogeneous Face Recognition,2018
+11,China,MsCeleb,msceleb,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,e47f4a127f41c055fb7893ddc295932ead783c63,citation,https://arxiv.org/pdf/1709.03675.pdf,Adversarial Discriminative Heterogeneous Face Recognition,2018
+12,China,MsCeleb,msceleb,22.4162632,114.2109318,Chinese University of Hong Kong,edu,2401cd5606c6bc5390acc352d00c1685f0c8af60,citation,https://arxiv.org/pdf/1809.01407.pdf,Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition,2018
+13,China,MsCeleb,msceleb,39.993008,116.329882,SenseTime,company,2401cd5606c6bc5390acc352d00c1685f0c8af60,citation,https://arxiv.org/pdf/1809.01407.pdf,Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition,2018
+14,Singapore,MsCeleb,msceleb,1.3484104,103.68297965,Nanyang Technological University,edu,2401cd5606c6bc5390acc352d00c1685f0c8af60,citation,https://arxiv.org/pdf/1809.01407.pdf,Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition,2018
+15,United States,MsCeleb,msceleb,42.718568,-84.47791571,Michigan State University,edu,b446bcd7fb78adfe346cf7a01a38e4f43760f363,citation,https://pdfs.semanticscholar.org/b446/bcd7fb78adfe346cf7a01a38e4f43760f363.pdf,To appear in ICB 2018 Longitudinal Study of Child Face Recognition,2017
+16,United Kingdom,MsCeleb,msceleb,51.3791442,-2.3252332,University of Bath,edu,26567da544239cc6628c5696b0b10539144cbd57,citation,https://arxiv.org/pdf/1811.12784.pdf,The GAN that Warped: Semantic Attribute Editing with Unpaired Data,2018
+17,United Kingdom,MsCeleb,msceleb,51.49887085,-0.17560797,Imperial College London,edu,40bb090a4e303f11168dce33ed992f51afe02ff7,citation,http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Deng_Marginal_Loss_for_CVPR_2017_paper.pdf,Marginal Loss for Deep Face Recognition,2017
+18,China,MsCeleb,msceleb,40.0044795,116.370238,Chinese Academy of Sciences,edu,4cdb6144d56098b819076a8572a664a2c2d27f72,citation,https://arxiv.org/pdf/1806.01196.pdf,Face Synthesis for Eyeglass-Robust Face Recognition,2018
+19,China,MsCeleb,msceleb,39.9082804,116.2458527,University of Chinese Academy of Sciences,edu,4cdb6144d56098b819076a8572a664a2c2d27f72,citation,https://arxiv.org/pdf/1806.01196.pdf,Face Synthesis for Eyeglass-Robust Face Recognition,2018
+20,United States,MsCeleb,msceleb,39.2899685,-76.62196103,University of Maryland,edu,872dfdeccf99bbbed7c8f1ea08afb2d713ebe085,citation,https://arxiv.org/pdf/1703.09507.pdf,L2-constrained Softmax Loss for Discriminative Face Verification,2017
+21,United States,MsCeleb,msceleb,42.718568,-84.47791571,Michigan State University,edu,3011b5fce49112228711a9e5f92d6f191687c1ea,citation,https://arxiv.org/pdf/1803.09014.pdf,Feature Transfer Learning for Deep Face Recognition with Long-Tail Data,2018
+22,United Kingdom,MsCeleb,msceleb,51.49887085,-0.17560797,Imperial College London,edu,1929863fff917ee7f6dc428fc1ce732777668eca,citation,https://arxiv.org/pdf/1712.04695.pdf,UV-GAN: Adversarial Facial UV Map Completion for Pose-Invariant Face Recognition,2018
+23,China,MsCeleb,msceleb,22.4162632,114.2109318,Chinese University of Hong Kong,edu,d949fadc9b6c5c8b067fa42265ad30945f9caa99,citation,https://arxiv.org/pdf/1710.00870.pdf,Rethinking Feature Discrimination and Polymerization for Large-scale Recognition,2017
+24,China,MsCeleb,msceleb,31.30104395,121.50045497,Fudan University,edu,5a259f2f5337435f841d39dada832ab24e7b3325,citation,,Face Recognition via Active Annotation and Learning,2016
+25,China,MsCeleb,msceleb,40.0044795,116.370238,Chinese Academy of Sciences,edu,5a259f2f5337435f841d39dada832ab24e7b3325,citation,,Face Recognition via Active Annotation and Learning,2016
+26,China,MsCeleb,msceleb,39.993008,116.329882,SenseTime,company,c72a2ea819df9b0e8cd267eebcc6528b8741e03d,citation,https://arxiv.org/pdf/1708.09687.pdf,Quantifying Facial Age by Posterior of Age Comparisons,2017
+27,China,MsCeleb,msceleb,22.4162632,114.2109318,Chinese University of Hong Kong,edu,c72a2ea819df9b0e8cd267eebcc6528b8741e03d,citation,https://arxiv.org/pdf/1708.09687.pdf,Quantifying Facial Age by Posterior of Age Comparisons,2017
+28,United States,MsCeleb,msceleb,39.2899685,-76.62196103,University of Maryland,edu,b6f758be954d34817d4ebaa22b30c63a4b8ddb35,citation,https://arxiv.org/pdf/1703.04835.pdf,A Proximity-Aware Hierarchical Clustering of Faces,2017
+29,United States,MsCeleb,msceleb,42.718568,-84.47791571,Michigan State University,edu,19fa871626df604639550c6445d2f76cd369dd13,citation,https://arxiv.org/pdf/1805.02283.pdf,DocFace: Matching ID Document Photos to Selfies,2018
+30,United States,MsCeleb,msceleb,32.87935255,-117.23110049,"University of California, San Diego",edu,d35534f3f59631951011539da2fe83f2844ca245,citation,https://arxiv.org/pdf/1705.07904.pdf,Semantically Decomposing the Latent Spaces of Generative Adversarial Networks,2017
+31,United States,MsCeleb,msceleb,37.43131385,-122.16936535,Stanford University,edu,d35534f3f59631951011539da2fe83f2844ca245,citation,https://arxiv.org/pdf/1705.07904.pdf,Semantically Decomposing the Latent Spaces of Generative Adversarial Networks,2017
+32,United States,MsCeleb,msceleb,40.4441619,-79.94272826,Carnegie Mellon University,edu,d35534f3f59631951011539da2fe83f2844ca245,citation,https://arxiv.org/pdf/1705.07904.pdf,Semantically Decomposing the Latent Spaces of Generative Adversarial Networks,2017
+33,Canada,MsCeleb,msceleb,49.2767454,-122.91777375,Simon Fraser University,edu,b301fd2fc33f24d6f75224e7c0991f4f04b64a65,citation,https://arxiv.org/pdf/1803.06340.pdf,Faces as Lighting Probes via Unsupervised Deep Highlight Extraction,2018
+34,China,MsCeleb,msceleb,28.2290209,112.99483204,"National University of Defense Technology, China",mil,b301fd2fc33f24d6f75224e7c0991f4f04b64a65,citation,https://arxiv.org/pdf/1803.06340.pdf,Faces as Lighting Probes via Unsupervised Deep Highlight Extraction,2018
+35,United States,MsCeleb,msceleb,42.3614256,-71.0812092,Microsoft Research Asia,company,b301fd2fc33f24d6f75224e7c0991f4f04b64a65,citation,https://arxiv.org/pdf/1803.06340.pdf,Faces as Lighting Probes via Unsupervised Deep Highlight Extraction,2018
+36,United Kingdom,MsCeleb,msceleb,51.7534538,-1.25400997,University of Oxford,edu,70c59dc3470ae867016f6ab0e008ac8ba03774a1,citation,https://arxiv.org/pdf/1710.08092.pdf,VGGFace2: A Dataset for Recognising Faces across Pose and Age,2018
+37,China,MsCeleb,msceleb,39.9041999,116.4073963,"Beijing, China",edu,7fa4e972da46735971aad52413d17c4014c49e6e,citation,https://arxiv.org/pdf/1709.02940.pdf,How to Train Triplet Networks with 100K Identities?,2017
+38,China,MsCeleb,msceleb,39.94976005,116.33629046,Beijing Jiaotong University,edu,d7cbedbee06293e78661335c7dd9059c70143a28,citation,https://arxiv.org/pdf/1804.07573.pdf,MobileFaceNets: Efficient CNNs for Accurate Real-time Face Verification on Mobile Devices,2018
+39,Singapore,MsCeleb,msceleb,1.2962018,103.77689944,National University of Singapore,edu,fca9ebaa30d69ccec8bb577c31693c936c869e72,citation,https://arxiv.org/pdf/1809.00338.pdf,Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition,2018
+40,China,MsCeleb,msceleb,40.0044795,116.370238,Chinese Academy of Sciences,edu,fca9ebaa30d69ccec8bb577c31693c936c869e72,citation,https://arxiv.org/pdf/1809.00338.pdf,Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition,2018
+41,Japan,MsCeleb,msceleb,35.6992503,139.7721568,"Hitachi, Ltd., Tokyo, Japan",company,3b4da93fbdf7ae520fa00d39ffa694e850b85162,citation,,Face-Voice Matching using Cross-modal Embeddings,2018
+42,China,MsCeleb,msceleb,30.19331415,120.11930822,Zhejiang University,edu,85860d38c66a5cf2e6ffd6475a3a2ba096ea2920,citation,,Celeb-500K: A Large Training Dataset for Face Recognition,2018
+43,China,MsCeleb,msceleb,22.4162632,114.2109318,Chinese University of Hong Kong,edu,6fed504da4e192fe4c2d452754d23d3db4a4e5e3,citation,https://arxiv.org/pdf/1702.06890.pdf,Learning Deep Features via Congenerous Cosine Loss for Person Recognition,2017
+44,China,MsCeleb,msceleb,40.0044795,116.370238,Chinese Academy of Sciences,edu,6f5309d8cc76d3d300b72745887addd2a2480ba8,citation,,KinNet: Fine-to-Coarse Deep Metric Learning for Kinship Verification,2017
+45,China,MsCeleb,msceleb,40.00229045,116.32098908,Tsinghua University,edu,09ad80c4e80e1e02afb8fa4cb6dab260fb66df53,citation,,Feature Learning for One-Shot Face Recognition,2018
+46,United States,MsCeleb,msceleb,40.4441619,-79.94272826,Carnegie Mellon University,edu,c71217b2b111a51a31cf1107c71d250348d1ff68,citation,https://arxiv.org/pdf/1703.09912.pdf,One Network to Solve Them All — Solving Linear Inverse Problems Using Deep Projection Models,2017
+47,United Kingdom,MsCeleb,msceleb,51.7534538,-1.25400997,University of Oxford,edu,05ee231749c9ce97f036c71c1d2d599d660a8c81,citation,https://arxiv.org/pdf/1810.09951.pdf,GhostVLAD for set-based face recognition,2018
+48,United States,MsCeleb,msceleb,45.57022705,-122.63709346,Concordia University,edu,db374308655256da1479c272582d7c7139c97173,citation,https://arxiv.org/pdf/1811.11080.pdf,MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices,2018
+49,United States,MsCeleb,msceleb,33.5866784,-101.87539204,Electrical and Computer Engineering,edu,db374308655256da1479c272582d7c7139c97173,citation,https://arxiv.org/pdf/1811.11080.pdf,MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices,2018
+50,United States,MsCeleb,msceleb,36.0678324,-94.1736551,University of Arkansas,edu,db374308655256da1479c272582d7c7139c97173,citation,https://arxiv.org/pdf/1811.11080.pdf,MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices,2018
+51,China,MsCeleb,msceleb,22.4162632,114.2109318,Chinese University of Hong Kong,edu,de7d36173f9ca0e89e7a1991d541aed7c65127ea,citation,https://arxiv.org/pdf/1812.01288.pdf,FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis,2018
+52,China,MsCeleb,msceleb,22.59805605,113.98533784,Shenzhen Institutes of Advanced Technology,edu,de7d36173f9ca0e89e7a1991d541aed7c65127ea,citation,https://arxiv.org/pdf/1812.01288.pdf,FaceFeat-GAN: a Two-Stage Approach for Identity-Preserving Face Synthesis,2018
+53,China,MsCeleb,msceleb,40.0044795,116.370238,Chinese Academy of Sciences,edu,212608e00fc1e8912ff845ee7a4a67f88ba938fc,citation,https://arxiv.org/pdf/1704.02450.pdf,Coupled Deep Learning for Heterogeneous Face Recognition,2018
+54,China,MsCeleb,msceleb,22.4162632,114.2109318,Chinese University of Hong Kong,edu,1fd5d08394a3278ef0a89639e9bfec7cb482e0bf,citation,https://arxiv.org/pdf/1804.03487.pdf,Exploring Disentangled Feature Representation Beyond Face Identification,2018
+55,China,MsCeleb,msceleb,39.993008,116.329882,SenseTime,company,1fd5d08394a3278ef0a89639e9bfec7cb482e0bf,citation,https://arxiv.org/pdf/1804.03487.pdf,Exploring Disentangled Feature Representation Beyond Face Identification,2018
+56,United States,MsCeleb,msceleb,40.8722825,-73.89489171,City University of New York,edu,f74917fc0e55f4f5682909dcf6929abd19d33e2e,citation,https://pdfs.semanticscholar.org/f749/17fc0e55f4f5682909dcf6929abd19d33e2e.pdf,GAN Q UALITY I NDEX ( GQI ) BY GAN-INDUCED C LASSIFIER,2018
+57,United States,MsCeleb,msceleb,42.3383668,-71.08793524,Northeastern University,edu,f74917fc0e55f4f5682909dcf6929abd19d33e2e,citation,https://pdfs.semanticscholar.org/f749/17fc0e55f4f5682909dcf6929abd19d33e2e.pdf,GAN Q UALITY I NDEX ( GQI ) BY GAN-INDUCED C LASSIFIER,2018
+58,United States,MsCeleb,msceleb,47.6423318,-122.1369302,Microsoft,company,f74917fc0e55f4f5682909dcf6929abd19d33e2e,citation,https://pdfs.semanticscholar.org/f749/17fc0e55f4f5682909dcf6929abd19d33e2e.pdf,GAN Q UALITY I NDEX ( GQI ) BY GAN-INDUCED C LASSIFIER,2018
+59,China,MsCeleb,msceleb,32.0565957,118.77408833,Nanjing University,edu,8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8,citation,https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf,Age Estimation Using Expectation of Label Distribution Learning,2018
+60,China,MsCeleb,msceleb,32.0575279,118.78682252,Southeast University,edu,8ff8c64288a2f7e4e8bf8fda865820b04ab3dbe8,citation,https://pdfs.semanticscholar.org/0056/92b9fa6728df3a7f14578c43410867bba425.pdf,Age Estimation Using Expectation of Label Distribution Learning,2018
+61,United States,MsCeleb,msceleb,42.4505507,-76.4783513,Cornell University,edu,dec0c26855da90876c405e9fd42830c3051c2f5f,citation,https://pdfs.semanticscholar.org/dec0/c26855da90876c405e9fd42830c3051c2f5f.pdf,Supplementary Material : Learning Compositional Visual Concepts with Mutual Consistency,2018
+62,France,MsCeleb,msceleb,48.8476037,2.2639934,"Université Paris-Saclay, France",edu,96e318f8ff91ba0b10348d4de4cb7c2142eb8ba9,citation,,State-of-the-art face recognition performance using publicly available software and datasets,2018
+63,United States,MsCeleb,msceleb,29.7207902,-95.34406271,University of Houston,edu,38d8ff137ff753f04689e6b76119a44588e143f3,citation,https://arxiv.org/pdf/1709.06532.pdf,When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition,2017
+64,United States,MsCeleb,msceleb,38.0333742,-84.5017758,University of Kentucky,edu,455a7e03a0c5ab618d0e86a06c9910ac179f0479,citation,https://arxiv.org/pdf/1807.08772.pdf,Identity Preserving Face Completion for Large Ocular Region Occlusion,2018
+65,United States,MsCeleb,msceleb,34.0224149,-118.28634407,University of Southern California,edu,455a7e03a0c5ab618d0e86a06c9910ac179f0479,citation,https://arxiv.org/pdf/1807.08772.pdf,Identity Preserving Face Completion for Large Ocular Region Occlusion,2018
+66,China,MsCeleb,msceleb,45.7413921,126.62552755,Harbin Institute of Technology,edu,455a7e03a0c5ab618d0e86a06c9910ac179f0479,citation,https://arxiv.org/pdf/1807.08772.pdf,Identity Preserving Face Completion for Large Ocular Region Occlusion,2018
+67,China,MsCeleb,msceleb,30.289532,120.009886,Hangzhou Normal University,edu,455a7e03a0c5ab618d0e86a06c9910ac179f0479,citation,https://arxiv.org/pdf/1807.08772.pdf,Identity Preserving Face Completion for Large Ocular Region Occlusion,2018
+68,United Kingdom,MsCeleb,msceleb,51.49887085,-0.17560797,Imperial College London,edu,51992fa881541ca3a4520c1ff9100b83e2f1ad87,citation,https://arxiv.org/pdf/1801.07698.pdf,ArcFace: Additive Angular Margin Loss for Deep Face Recognition,2018
+69,United States,MsCeleb,msceleb,30.40550035,-91.18620474,Louisiana State University,edu,5b9c6ca84268cb283941ae28b73989c0cf7e2ac2,citation,,A Pipeline to Improve Face Recognition Datasets and Applications,2018
+70,Italy,MsCeleb,msceleb,45.814548,8.827665,University of Insubria,edu,5b9c6ca84268cb283941ae28b73989c0cf7e2ac2,citation,,A Pipeline to Improve Face Recognition Datasets and Applications,2018
+71,United States,MsCeleb,msceleb,42.3383668,-71.08793524,Northeastern University,edu,c9efcd8e32dced6efa2bba64789df8d0a8e4996a,citation,,Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition,2016
+72,United Kingdom,MsCeleb,msceleb,51.49887085,-0.17560797,Imperial College London,edu,9b0489f2d5739213ef8c3e2e18739c4353c3a3b7,citation,https://arxiv.org/pdf/1801.06665.pdf,Visual Data Augmentation through Learning,2018
+73,United Kingdom,MsCeleb,msceleb,51.59029705,-0.22963221,Middlesex University,edu,9b0489f2d5739213ef8c3e2e18739c4353c3a3b7,citation,https://arxiv.org/pdf/1801.06665.pdf,Visual Data Augmentation through Learning,2018
+74,United States,MsCeleb,msceleb,42.718568,-84.47791571,Michigan State University,edu,ad2cb5c255e555d9767d526721a4c7053fa2ac58,citation,https://arxiv.org/pdf/1711.03990.pdf,Longitudinal Study of Child Face Recognition,2018
+75,China,MsCeleb,msceleb,22.4162632,114.2109318,Chinese University of Hong Kong,edu,9e182e0cd9d70f876f1be7652c69373bcdf37fb4,citation,https://arxiv.org/pdf/1807.07860.pdf,Talking Face Generation by Adversarially Disentangled Audio-Visual Representation,2018
+76,United States,MsCeleb,msceleb,38.99203005,-76.9461029,University of Maryland College Park,edu,06bd34951305d9f36eb29cf4532b25272da0e677,citation,https://arxiv.org/pdf/1809.07586.pdf,"A Fast and Accurate System for Face Detection, Identification, and Verification",2018
+77,China,MsCeleb,msceleb,40.0044795,116.370238,Chinese Academy of Sciences,edu,94f74c6314ffd02db581e8e887b5fd81ce288dbf,citation,https://arxiv.org/pdf/1511.02683.pdf,A Light CNN for Deep Face Representation With Noisy Labels,2018
+78,Spain,MsCeleb,msceleb,40.4167754,-3.7037902,"Computer Vision Group (www.vision4uav.com), Centro de Automática y Robótica (CAR) UPM-CSIC, Universidad Politécnica de Madrid, José Gutiérrez Abascal 2, 28006, Spain",edu,726f76f11e904d7fcb12736c276a0b00eb5cde49,citation,https://arxiv.org/pdf/1901.05903.pdf,A Performance Comparison of Loss Functions for Deep Face Recognition,2019
+79,India,MsCeleb,msceleb,13.5568171,80.0261283,"Indian Institute of Information Technology, Sri City, India",edu,726f76f11e904d7fcb12736c276a0b00eb5cde49,citation,https://arxiv.org/pdf/1901.05903.pdf,A Performance Comparison of Loss Functions for Deep Face Recognition,2019
+80,United States,MsCeleb,msceleb,38.99203005,-76.9461029,University of Maryland College Park,edu,83447d47bb2837b831b982ebf9e63616742bfdec,citation,https://arxiv.org/pdf/1812.04058.pdf,An Automatic System for Unconstrained Video-Based Face Recognition,2018
+81,United States,MsCeleb,msceleb,38.99203005,-76.9461029,University of Maryland College Park,edu,7323b594d3a8508f809e276aa2d224c4e7ec5a80,citation,https://arxiv.org/pdf/1808.05508.pdf,An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification,2018
+82,United States,MsCeleb,msceleb,43.7192587,10.4207947,"CNR ISTI-Institute of Information Science and Technologies, Pisa, Italy",edu,266766818dbc5a4ca1161ae2bc14c9e269ddc490,citation,https://pdfs.semanticscholar.org/2667/66818dbc5a4ca1161ae2bc14c9e269ddc490.pdf,Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules,2018
+83,United States,MsCeleb,msceleb,38.99203005,-76.9461029,University of Maryland College Park,edu,944ea33211d67663e04d0181843db634e42cb2ca,citation,https://arxiv.org/pdf/1804.01159.pdf,Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition.,2018
+84,Taiwan,MsCeleb,msceleb,25.01682835,121.53846924,National Taiwan University,edu,f15b7c317f106816bf444ac4ffb6c280cd6392c7,citation,http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Zhang_Deep_Disguised_Faces_CVPR_2018_paper.pdf,Deep Disguised Faces Recognition,2018
+85,United States,MsCeleb,msceleb,38.99203005,-76.9461029,University of Maryland College Park,edu,a50fa5048c61209149de0711b5f1b1806b43da00,citation,http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w1/Bansal_Deep_Features_for_CVPR_2018_paper.pdf,Deep Features for Recognizing Disguised Faces in the Wild,2018
+86,China,MsCeleb,msceleb,40.00229045,116.32098908,Tsinghua University,edu,19d53bb35baf6ab02368756412800c218a2df71c,citation,https://arxiv.org/pdf/1711.09515.pdf,DeepDeblur: Fast one-step blurry face images restoration.,2017
+87,United States,MsCeleb,msceleb,42.718568,-84.47791571,Michigan State University,edu,12ba7c6f559a69fbfaacf61bfb2f8431505b09a0,citation,https://arxiv.org/pdf/1809.05620.pdf,DocFace+: ID Document to Selfie Matching,2018
+88,South Korea,MsCeleb,msceleb,37.5600406,126.9369248,Yonsei University,edu,d8526863f35b29cbf8ac2ae756eaae0d2930ffb1,citation,http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Choe_Face_Generation_for_ICCV_2017_paper.pdf,Face Generation for Low-Shot Learning Using Generative Adversarial Networks,2017
+89,China,MsCeleb,msceleb,38.880381,121.529021,Dailian University of Technology,edu,59fc69b3bc4759eef1347161e1248e886702f8f7,citation,https://pdfs.semanticscholar.org/59fc/69b3bc4759eef1347161e1248e886702f8f7.pdf,Final Report of Final Year Project HKU-Face : A Large Scale Dataset for Deep Face Recognition,2018
+90,Germany,MsCeleb,msceleb,52.381515,9.720171,"Leibniz Information Centre for Science and Technology, Hannover, Germany",edu,5209758096819efee15751c8875121bd27f2ee78,citation,https://arxiv.org/pdf/1806.08246.pdf,Finding Person Relations in Image Data of the Internet Archive,2018
+91,Germany,MsCeleb,msceleb,52.381515,9.720171,Leibniz Universität Hannover,edu,5209758096819efee15751c8875121bd27f2ee78,citation,https://arxiv.org/pdf/1806.08246.pdf,Finding Person Relations in Image Data of the Internet Archive,2018
+92,China,MsCeleb,msceleb,35.86166,104.195397,"Megvii Inc. (Face++), China",company,4874daed0f6a42d03011ed86e5ab46f231b02c13,citation,https://arxiv.org/pdf/1808.06210.pdf,GridFace: Face Rectification via Learning Local Homography Transformations,2018
+93,China,MsCeleb,msceleb,40.0044795,116.370238,Chinese Academy of Sciences,edu,a89cbc90bbb4477a48aec185f2a112ea7ebe9b4d,citation,http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Xu_High_Performance_Large_ICCV_2017_paper.pdf,High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval,2017
+94,Singapore,MsCeleb,msceleb,1.2962018,103.77689944,National University of Singapore,edu,a89cbc90bbb4477a48aec185f2a112ea7ebe9b4d,citation,http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Xu_High_Performance_Large_ICCV_2017_paper.pdf,High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval,2017
+95,Singapore,MsCeleb,msceleb,1.3392609,103.8916077,Panasonic Singapore,company,a89cbc90bbb4477a48aec185f2a112ea7ebe9b4d,citation,http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Xu_High_Performance_Large_ICCV_2017_paper.pdf,High Performance Large Scale Face Recognition with Multi-cognition Softmax and Feature Retrieval,2017
+96,United States,MsCeleb,msceleb,40.8722825,-73.89489171,City University of New York,edu,32aeb90992f6cf8494b1b5c67f4b912feef05e9c,citation,https://arxiv.org/pdf/1802.00853.pdf,Incremental Classifier Learning with Generative Adversarial Networks,2018
+97,United States,MsCeleb,msceleb,47.6423318,-122.1369302,Microsoft,company,32aeb90992f6cf8494b1b5c67f4b912feef05e9c,citation,https://arxiv.org/pdf/1802.00853.pdf,Incremental Classifier Learning with Generative Adversarial Networks,2018
+98,United States,MsCeleb,msceleb,42.3383668,-71.08793524,Northeastern University,edu,32aeb90992f6cf8494b1b5c67f4b912feef05e9c,citation,https://arxiv.org/pdf/1802.00853.pdf,Incremental Classifier Learning with Generative Adversarial Networks,2018
+99,Singapore,MsCeleb,msceleb,1.2962018,103.77689944,National University of Singapore,edu,c808c784237f167c78a87cc5a9d48152579c27a4,citation,http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Cheng_Know_You_at_ICCV_2017_paper.pdf,Know You at One Glance: A Compact Vector Representation for Low-Shot Learning,2017
+100,Singapore,MsCeleb,msceleb,1.3392609,103.8916077,Panasonic Singapore,company,c808c784237f167c78a87cc5a9d48152579c27a4,citation,http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Cheng_Know_You_at_ICCV_2017_paper.pdf,Know You at One Glance: A Compact Vector Representation for Low-Shot Learning,2017
+101,United States,MsCeleb,msceleb,42.3383668,-71.08793524,Northeastern University,edu,332548fd2e52b27e062bd6dcc1db0953ced6ed48,citation,http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w27/Wu_Low-Shot_Face_Recognition_ICCV_2017_paper.pdf,Low-Shot Face Recognition with Hybrid Classifiers,2017
+102,United States,MsCeleb,msceleb,40.4441619,-79.94272826,Carnegie Mellon University,edu,98b2f21db344b8b9f7747feaf86f92558595990c,citation,https://pdfs.semanticscholar.org/98b2/f21db344b8b9f7747feaf86f92558595990c.pdf,PACES OF G ENERATIVE A DVERSARIAL N ETWORKS,2018
+103,United States,MsCeleb,msceleb,37.43131385,-122.16936535,Stanford University,edu,98b2f21db344b8b9f7747feaf86f92558595990c,citation,https://pdfs.semanticscholar.org/98b2/f21db344b8b9f7747feaf86f92558595990c.pdf,PACES OF G ENERATIVE A DVERSARIAL N ETWORKS,2018
+104,United States,MsCeleb,msceleb,32.87935255,-117.23110049,"University of California, San Diego",edu,98b2f21db344b8b9f7747feaf86f92558595990c,citation,https://pdfs.semanticscholar.org/98b2/f21db344b8b9f7747feaf86f92558595990c.pdf,PACES OF G ENERATIVE A DVERSARIAL N ETWORKS,2018
+105,China,MsCeleb,msceleb,22.5283157,113.94481,Shenzhen Institute of Wuhan University,edu,e13360cda1ebd6fa5c3f3386c0862f292e4dbee4,citation,https://arxiv.org/pdf/1611.08976.pdf,Range Loss for Deep Face Recognition with Long-Tailed Training Data,2016
+106,Australia,MsCeleb,msceleb,-33.8832376,151.2004942,Southern University of Science and Technology,edu,e13360cda1ebd6fa5c3f3386c0862f292e4dbee4,citation,https://arxiv.org/pdf/1611.08976.pdf,Range Loss for Deep Face Recognition with Long-Tailed Training Data,2016
+107,China,MsCeleb,msceleb,36.20304395,117.05842113,Tianjin University,edu,e13360cda1ebd6fa5c3f3386c0862f292e4dbee4,citation,https://arxiv.org/pdf/1611.08976.pdf,Range Loss for Deep Face Recognition with Long-Tailed Training Data,2016
+108,United Kingdom,MsCeleb,msceleb,51.49887085,-0.17560797,Imperial College London,edu,b26d5d929cc3c0d14da058961ddd024f4c9690f5,citation,https://arxiv.org/pdf/1805.08657.pdf,Robust Conditional Generative Adversarial Networks,2018
+109,France,MsCeleb,msceleb,46.1464423,-1.1570872,La Rochelle University,edu,5c54e0f46330787c4fac48aecced9a8f8e37658a,citation,http://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w23/Ming_Simple_Triplet_Loss_ICCV_2017_paper.pdf,Simple Triplet Loss Based on Intra/Inter-Class Metric Learning for Face Verification,2017
+110,China,MsCeleb,msceleb,39.9922379,116.30393816,Peking University,edu,4f0b641860d90dfa4c185670bf636149a2b2b717,citation,,Improve Cross-Domain Face Recognition with IBN-block,2018
+111,China,MsCeleb,msceleb,31.83907195,117.26420748,University of Science and Technology of China,edu,c5b324f7f9abdffc1be83f640674beda81b74315,citation,,Towards Open-Set Identity Preserving Face Synthesis,2018
+112,Italy,MsCeleb,msceleb,44.6451046,10.9279268,University of Modena and Reggio Emilia,edu,ff44d8938c52cfdca48c80f8e1618bbcbf91cb2a,citation,https://pdfs.semanticscholar.org/ff44/d8938c52cfdca48c80f8e1618bbcbf91cb2a.pdf,Towards Video Captioning with Naming: A Novel Dataset and a Multi-modal Approach,2017
+113,France,MsCeleb,msceleb,45.7833631,4.76877036,Ecole Centrale de Lyon,edu,727d03100d4a8e12620acd7b1d1972bbee54f0e6,citation,https://arxiv.org/pdf/1706.04264.pdf,von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification,2017
+114,France,MsCeleb,msceleb,48.832493,2.267474,Safran Identity and Security,company,727d03100d4a8e12620acd7b1d1972bbee54f0e6,citation,https://arxiv.org/pdf/1706.04264.pdf,von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification,2017
+115,China,MsCeleb,msceleb,39.980196,116.333305,"CASIA, Center for Research on Intelligent Perception and Computing, Beijing, 100190, China",edu,3ac09c2589178dac0b6a2ea2edf04b7629672d81,citation,https://arxiv.org/pdf/1708.02412.pdf,Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition,2018
+116,China,MsCeleb,msceleb,39.979203,116.33287,"CASIA, National Laboratory of Pattern Recognition",edu,3ac09c2589178dac0b6a2ea2edf04b7629672d81,citation,https://arxiv.org/pdf/1708.02412.pdf,Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition,2018
+117,China,MsCeleb,msceleb,40.0044795,116.370238,Chinese Academy of Sciences,edu,3ac09c2589178dac0b6a2ea2edf04b7629672d81,citation,https://arxiv.org/pdf/1708.02412.pdf,Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition,2018
+118,United States,MsCeleb,msceleb,38.99203005,-76.9461029,University of Maryland College Park,edu,b35ff9985aaee9371588330bcef0dfc88d1401d7,citation,,Deep Density Clustering of Unconstrained Faces,2018
+119,United States,MsCeleb,msceleb,30.6108365,-96.352128,Texas A&M University,edu,e36fdb50844132fc7925550398e68e7ae95467de,citation,,Face Verification with Disguise Variations via Deep Disguise Recognizer,2018
+120,United States,MsCeleb,msceleb,39.65404635,-79.96475355,West Virginia University,edu,e36fdb50844132fc7925550398e68e7ae95467de,citation,,Face Verification with Disguise Variations via Deep Disguise Recognizer,2018
+121,United States,MsCeleb,msceleb,42.4505507,-76.4783513,Cornell University,edu,9ccf528ef8df99372ce6286ffbb0bf6f9a505cca,citation,,Learning Compositional Visual Concepts with Mutual Consistency,2018
+122,United States,MsCeleb,msceleb,40.3442079,-74.5924599,"Siemens Corporate Research, Princeton, NJ",edu,9ccf528ef8df99372ce6286ffbb0bf6f9a505cca,citation,,Learning Compositional Visual Concepts with Mutual Consistency,2018
+123,United States,MsCeleb,msceleb,42.3383668,-71.08793524,Northeastern University,edu,3827f1cab643a57e3cd22fbffbf19dd5e8a298a8,citation,,One-Shot Face Recognition via Generative Learning,2018
+124,China,MsCeleb,msceleb,39.9106327,116.3356321,Chinese Academy of Science,edu,20f87ed94a423b5d8599d85d1f2f80bab8902107,citation,,Pose-Guided Photorealistic Face Rotation,2018
+125,United States,MsCeleb,msceleb,40.4441619,-79.94272826,Carnegie Mellon University,edu,67a9659de0bf671fafccd7f39b7587f85fb6dfbd,citation,,Ring Loss: Convex Feature Normalization for Face Recognition,2018
diff --git a/site/datasets/verified/mug_faces.csv b/site/datasets/verified/mug_faces.csv
new file mode 100644
index 00000000..0ad9226e
--- /dev/null
+++ b/site/datasets/verified/mug_faces.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,MUG Faces,mug_faces,0.0,0.0,,,,main,,The MUG facial expression database,2010
diff --git a/site/datasets/verified/names_and_faces.csv b/site/datasets/verified/names_and_faces.csv
new file mode 100644
index 00000000..56f2a57a
--- /dev/null
+++ b/site/datasets/verified/names_and_faces.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,News Dataset,names_and_faces,0.0,0.0,,,,main,,Names and faces in the news,2004
diff --git a/site/datasets/verified/orl.csv b/site/datasets/verified/orl.csv
new file mode 100644
index 00000000..b9d29530
--- /dev/null
+++ b/site/datasets/verified/orl.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,ORL,orl,0.0,0.0,,,,main,,Parameterisation of a stochastic model for human face identification,1994
diff --git a/site/datasets/verified/oxford_town_centre.csv b/site/datasets/verified/oxford_town_centre.csv
new file mode 100644
index 00000000..8fb0f336
--- /dev/null
+++ b/site/datasets/verified/oxford_town_centre.csv
@@ -0,0 +1,114 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,TownCentre,oxford_town_centre,0.0,0.0,,,,main,,Stable multi-target tracking in real-time surveillance video,2011
+1,United States,TownCentre,oxford_town_centre,40.4441619,-79.94272826,Carnegie Mellon University,edu,03ae36b2ed0215b15c5bc7d42fbe20b1491e551a,citation,http://vishnu.boddeti.net/papers/cvpr-2015-abstract.pdf,Learning scene-specific pedestrian detectors without real data,2015
+2,United States,TownCentre,oxford_town_centre,37.3675905,-121.9133491,Sony,company,03ae36b2ed0215b15c5bc7d42fbe20b1491e551a,citation,http://vishnu.boddeti.net/papers/cvpr-2015-abstract.pdf,Learning scene-specific pedestrian detectors without real data,2015
+3,United States,TownCentre,oxford_town_centre,42.3504253,-71.10056114,Boston University,edu,9363bf52a5bb2ac94bf247ca56e7cf55fb29ee4e,citation,http://cs-www.bu.edu/groups/ivc/software/TrackerHierarchy/AVSS2012_TrackerHierarchy.pdf,Online Multi-person Tracking by Tracker Hierarchy,2012
+4,United States,TownCentre,oxford_town_centre,28.59899755,-81.19712501,University of Central Florida,edu,80b41fb824f3751b03017bf7ec8c5f71b7e214b2,citation,http://crcv-web.eecs.ucf.edu/papers/cvpr2013/CVPR2013_Yang_FinalVersion_HumanDetection.pdf,Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video,2013
+5,United States,TownCentre,oxford_town_centre,39.2899685,-76.62196103,University of Maryland,edu,2b9410889dc6870cc6e0476dbc681049b28ccacb,citation,http://drum.lib.umd.edu/bitstream/1903/13339/1/CS-TR-5018.pdf,Learning to Detect Carried Objects with Minimal Supervision,2013
+6,United States,TownCentre,oxford_town_centre,28.59899755,-81.19712501,University of Central Florida,edu,5369b021f2abf5daa77fa5602569bb3b8bb18546,citation,http://crcv-web.eecs.ucf.edu/papers/cvpr2015/AfshinDehghan_GMMCP_CVPR15.pdf,GMMCP tracker: Globally optimal Generalized Maximum Multi Clique problem for multiple object tracking,2015
+7,United States,TownCentre,oxford_town_centre,28.59899755,-81.19712501,University of Central Florida,edu,076fd6fd85b93858155a1c775f1897f83d52b4c2,citation,http://crcv-web.eecs.ucf.edu/papers/cvpr2013/CVPR13_final_guang.pdf,Improving an Object Detector and Extracting Regions Using Superpixels,2013
+8,United Kingdom,TownCentre,oxford_town_centre,55.91029135,-3.32345777,Heriot-Watt University,edu,b02581323ad03125e9b18d74ba0c1909d6485dda,citation,https://pure.qub.ac.uk/portal/files/57462725/Anomaly1_s2.0_S0167865513004625_main.pdf,Contextual anomaly detection in crowded surveillance scenes,2014
+9,United Kingdom,TownCentre,oxford_town_centre,51.7534538,-1.25400997,University of Oxford,edu,184c3e66a746376716d5e816d95e1a7cb8e04390,citation,http://ben.benfold.com/docs/benfold_reid_iccv2011-poster.pdf,Unsupervised learning of a scene-specific coarse gaze estimator,2011
+10,United Kingdom,TownCentre,oxford_town_centre,51.7520209,-1.2577263,"Oxford, UK",edu,184c3e66a746376716d5e816d95e1a7cb8e04390,citation,http://ben.benfold.com/docs/benfold_reid_iccv2011-poster.pdf,Unsupervised learning of a scene-specific coarse gaze estimator,2011
+11,Israel,TownCentre,oxford_town_centre,31.262218,34.801461,Ben-Gurion University,edu,880e232f260b0f9d649a4e6408b1cf82f270bd6d,citation,http://www.cs.bgu.ac.il/~ben-shahar/Publications/2013-Ben_Ari_and_Ben_Shahar-A_Computationally_Efficient_Tracker_with_Direct_Appearance-Kinematic_Measure_and_Adaptive%20Kalman_Filter.pdf,A computationally efficient tracker with direct appearance-kinematic measure and adaptive Kalman filter,2013
+12,Israel,TownCentre,oxford_town_centre,31.8878767,34.7359885,"Orbotech Ltd., Yavne, Israel",company,880e232f260b0f9d649a4e6408b1cf82f270bd6d,citation,http://www.cs.bgu.ac.il/~ben-shahar/Publications/2013-Ben_Ari_and_Ben_Shahar-A_Computationally_Efficient_Tracker_with_Direct_Appearance-Kinematic_Measure_and_Adaptive%20Kalman_Filter.pdf,A computationally efficient tracker with direct appearance-kinematic measure and adaptive Kalman filter,2013
+13,Germany,TownCentre,oxford_town_centre,52.381515,9.720171,Leibniz Universität Hannover,edu,3e0db33884ca8c756b26dc0df85c498c18d5f2ec,citation,http://is.tuebingen.mpg.de/uploads_file/attachment/attachment/137/LeaPonRos11SocialLP.pdf,Exploiting pedestrian interaction via global optimization and social behaviors,2011
+14,United States,TownCentre,oxford_town_centre,33.5866784,-101.87539204,Electrical and Computer Engineering,edu,b28eb219db9370cf20063288225cc2f3e6e5f984,citation,http://faculty.ucmerced.edu/mhyang/papers/iccv15_pose.pdf,Fast and Accurate Head Pose Estimation via Random Projection Forests,2015
+15,United States,TownCentre,oxford_town_centre,37.3641651,-120.4254615,University of California at Merced,edu,b28eb219db9370cf20063288225cc2f3e6e5f984,citation,http://faculty.ucmerced.edu/mhyang/papers/iccv15_pose.pdf,Fast and Accurate Head Pose Estimation via Random Projection Forests,2015
+16,Austria,TownCentre,oxford_town_centre,47.05821,15.46019568,Graz University of Technology,edu,356ec17af375b63a015d590562381a62f352f7d5,citation,http://lrs.icg.tugraz.at/pubs/possegger_cvpr14.pdf,Occlusion Geodesics for Online Multi-object Tracking,2014
+17,United States,TownCentre,oxford_town_centre,45.57022705,-122.63709346,Concordia University,edu,b53289f3f3b17dad91fa4fd25d09fdbc14f8c8cc,citation,http://faculty.ucmerced.edu/mhyang/papers/cviu16_MOT.pdf,Online multi-object tracking via robust collaborative model and sample selection,2017
+18,United States,TownCentre,oxford_town_centre,37.8718992,-122.2585399,University of California,edu,b53289f3f3b17dad91fa4fd25d09fdbc14f8c8cc,citation,http://faculty.ucmerced.edu/mhyang/papers/cviu16_MOT.pdf,Online multi-object tracking via robust collaborative model and sample selection,2017
+19,United States,TownCentre,oxford_town_centre,28.59899755,-81.19712501,University of Central Florida,edu,920246280e7e70900762ddfa7c41a79ec4517350,citation,http://crcv-web.eecs.ucf.edu/papers/eccv2012/MPMPT-ECCV12.pdf,(MP) 2 T: multiple people multiple parts tracker,2012
+20,United States,TownCentre,oxford_town_centre,37.8718992,-122.2585399,University of California,edu,14d5bd23667db4413a7f362565be21d462d3fc93,citation,http://alumni.cs.ucr.edu/~zqin001/cvpr2014.pdf,An Online Learned Elementary Grouping Model for Multi-target Tracking,2014
+21,Germany,TownCentre,oxford_town_centre,52.381515,9.720171,Leibniz Universität Hannover,edu,9070045c1a9564a5f25b42f3facc7edf4c302483,citation,http://virtualhumans.mpi-inf.mpg.de/papers/lealPonsmollICCVW2011/lealPonsmollICCVW2011.pdf,Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker,2011
+22,Singapore,TownCentre,oxford_town_centre,1.3484104,103.68297965,Nanyang Technological University,edu,2323cb559c9e18673db836ffc283c27e4a002ed9,citation,http://arxiv.org/pdf/1605.04502v1.pdf,Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association,2016
+23,China,TownCentre,oxford_town_centre,39.905838,116.375516,"Huawei Technologies, Beijing, China",company,434627a03d4433b0df03058724524c3ac1c07478,citation,http://jianghz.com/pubs/mtt_tip_final.pdf,Online Multi-Target Tracking With Unified Handling of Complex Scenarios,2015
+24,China,TownCentre,oxford_town_centre,34.250803,108.983693,Xi’an Jiaotong University,edu,434627a03d4433b0df03058724524c3ac1c07478,citation,http://jianghz.com/pubs/mtt_tip_final.pdf,Online Multi-Target Tracking With Unified Handling of Complex Scenarios,2015
+25,United States,TownCentre,oxford_town_centre,28.59899755,-81.19712501,University of Central Florida,edu,084352b63e98d3b3310521fb3bda8cb4a77a0254,citation,http://crcv.ucf.edu/papers/1439.pdf,Part-based multiple-person tracking with partial occlusion handling,2012
+26,United States,TownCentre,oxford_town_centre,39.5469449,-119.81346566,University of Nevada,edu,084352b63e98d3b3310521fb3bda8cb4a77a0254,citation,http://crcv.ucf.edu/papers/1439.pdf,Part-based multiple-person tracking with partial occlusion handling,2012
+27,United Kingdom,TownCentre,oxford_town_centre,55.7782474,-4.1040988,University of the West of Scotland,edu,32b9be86de4f82c5a43da2a1a0a892515da8910d,citation,http://users.informatik.haw-hamburg.de/~ubicomp/arbeiten/papers/ICISP2014.pdf,Robust False Positive Detection for Real-Time Multi-target Tracking,2014
+28,Italy,TownCentre,oxford_town_centre,43.7776426,11.259765,"Università degli Studi di Firenze, Firenze",edu,2914a20df10f3bb55c5d4764ece85101c1a3e5a8,citation,http://www.micc.unifi.it/seidenari/wp-content/papercite-data/pdf/icpr_16.pdf,User interest profiling using tracking-free coarse gaze estimation,2016
+29,United States,TownCentre,oxford_town_centre,40.4441619,-79.94272826,Carnegie Mellon University,edu,1f4fed0183048d9014e22a72fd50e1e5fbe0777c,citation,https://pdfs.semanticscholar.org/6b7b/1760ed23ef15ec210b2d6795fdf9ad36d0e2.pdf,A Game-Theoretic Approach to Multi-Pedestrian Activity Forecasting,2016
+30,United States,TownCentre,oxford_town_centre,37.43131385,-122.16936535,Stanford University,edu,1f4fed0183048d9014e22a72fd50e1e5fbe0777c,citation,https://pdfs.semanticscholar.org/6b7b/1760ed23ef15ec210b2d6795fdf9ad36d0e2.pdf,A Game-Theoretic Approach to Multi-Pedestrian Activity Forecasting,2016
+31,United States,TownCentre,oxford_town_centre,42.3354481,-71.16813864,Boston College,edu,869df5e8221129850e81e77d4dc36e6c0f854fe6,citation,https://arxiv.org/pdf/1601.03094.pdf,A metric for sets of trajectories that is practical and mathematically consistent,2016
+32,United States,TownCentre,oxford_town_centre,34.1579742,-118.2894729,Disney Research,company,d8bc2e2537cecbe6e751d4791837251a249cd06d,citation,http://www.cse.psu.edu/~rtc12/Papers/wacv2016CarrCollins.pdf,Assessing tracking performance in complex scenarios using mean time between failures,2016
+33,United States,TownCentre,oxford_town_centre,40.7982133,-77.8599084,The Pennsylvania State University,edu,d8bc2e2537cecbe6e751d4791837251a249cd06d,citation,http://www.cse.psu.edu/~rtc12/Papers/wacv2016CarrCollins.pdf,Assessing tracking performance in complex scenarios using mean time between failures,2016
+34,United States,TownCentre,oxford_town_centre,28.59899755,-81.19712501,University of Central Florida,edu,2dfba157e0b5db5becb99b3c412ac729cf3bb32d,citation,https://pdfs.semanticscholar.org/7fb2/f6ce372db950f26f9395721651d6c6aa7b76.pdf,Automatic Detection and Tracking of Pedestrians in Videos with Various Crowd Densities,2012
+35,India,TownCentre,oxford_town_centre,12.9914929,80.2336907,"IIT Madras, India",edu,37f2e03c7cbec9ffc35eac51578e7e8fdfee3d4e,citation,http://www.cse.iitm.ac.in/~amittal/wacv2015_review.pdf,Co-operative Pedestrians Group Tracking in Crowded Scenes Using an MST Approach,2015
+36,United Kingdom,TownCentre,oxford_town_centre,55.91029135,-3.32345777,Heriot-Watt University,edu,b8af24279c58a718091817236f878c805a7843e1,citation,https://pdfs.semanticscholar.org/b8af/24279c58a718091817236f878c805a7843e1.pdf,Context Aware Anomalous Behaviour Detection in Crowded Surveillance,2013
+37,Russia,TownCentre,oxford_town_centre,55.8067104,37.5416381,"Faculty of Computer Science, Moscow, Russia",edu,224547337e1ace6411a69c2e06ce538bc67923f7,citation,https://pdfs.semanticscholar.org/2245/47337e1ace6411a69c2e06ce538bc67923f7.pdf,Convolutional Neural Network for Camera Pose Estimation from Object Detections,2017
+38,Germany,TownCentre,oxford_town_centre,48.7468939,9.0805141,Max Planck Institute for Intelligent Systems,edu,b6d0e461535116a675a0354e7da65b2c1d2958d4,citation,https://arxiv.org/pdf/1805.03430.pdf,Deep Directional Statistics: Pose Estimation with Uncertainty Quantification,2018
+39,United States,TownCentre,oxford_town_centre,38.7768106,-94.9442982,Amazon,company,b6d0e461535116a675a0354e7da65b2c1d2958d4,citation,https://arxiv.org/pdf/1805.03430.pdf,Deep Directional Statistics: Pose Estimation with Uncertainty Quantification,2018
+40,United States,TownCentre,oxford_town_centre,47.6423318,-122.1369302,Microsoft,company,b6d0e461535116a675a0354e7da65b2c1d2958d4,citation,https://arxiv.org/pdf/1805.03430.pdf,Deep Directional Statistics: Pose Estimation with Uncertainty Quantification,2018
+41,United Kingdom,TownCentre,oxford_town_centre,55.91029135,-3.32345777,Heriot-Watt University,edu,70be5432677c0fbe000ac0c28dda351a950e0536,citation,http://www.cv-foundation.org/openaccess/content_cvpr_workshops_2014/W14/papers/Leach_Detecting_Social_Groups_2014_CVPR_paper.pdf,Detecting Social Groups in Crowded Surveillance Videos Using Visual Attention,2014
+42,Switzerland,TownCentre,oxford_town_centre,47.376313,8.5476699,ETH Zurich,edu,9458642e7645bfd865911140ee8413e2f5f9fcd6,citation,https://pdfs.semanticscholar.org/9458/642e7645bfd865911140ee8413e2f5f9fcd6.pdf,Efficient Multiple People Tracking Using Minimum Cost Arborescences,2014
+43,United Kingdom,TownCentre,oxford_town_centre,54.6141723,-5.9002151,Queen's University Belfast,edu,2a7935706d43c01789d43a81a1d391418f220a0a,citation,https://pure.qub.ac.uk/portal/files/31960902/285.pdf,Enhancing Linear Programming with Motion Modeling for Multi-target Tracking,2015
+44,Sri Lanka,TownCentre,oxford_town_centre,6.7970862,79.9019094,University of Moratuwa,edu,b183914d0b16647a41f0bfd4af64bf94a83a2b14,citation,http://iwinlab.eng.usf.edu/papers/Extensible%20video%20surveillance%20software%20with%20simultaneous%20event%20detection%20for%20low%20and%20high%20density%20crowd%20analysis.pdf,Extensible video surveillance software with simultaneous event detection for low and high density crowd analysis,2014
+45,United States,TownCentre,oxford_town_centre,33.5866784,-101.87539204,Electrical and Computer Engineering,edu,fa5aca45965e312362d2d75a69312a0678fdf5d7,citation,https://pdfs.semanticscholar.org/fa5a/ca45965e312362d2d75a69312a0678fdf5d7.pdf,Fast and Accurate Head Pose Estimation via Random Projection Forests : Supplementary Material,2015
+46,United States,TownCentre,oxford_town_centre,37.3641651,-120.4254615,University of California at Merced,edu,fa5aca45965e312362d2d75a69312a0678fdf5d7,citation,https://pdfs.semanticscholar.org/fa5a/ca45965e312362d2d75a69312a0678fdf5d7.pdf,Fast and Accurate Head Pose Estimation via Random Projection Forests : Supplementary Material,2015
+47,Australia,TownCentre,oxford_town_centre,-32.8892352,151.6998983,"University of Newcastle, Australia",edu,2feb7c57d51df998aafa6f3017662263a91625b4,citation,https://pdfs.semanticscholar.org/d344/9eaaf392fd07b676e744410049f4095b4b5c.pdf,Feature Selection for Intelligent Transportation Systems,2014
+48,Germany,TownCentre,oxford_town_centre,49.01546,8.4257999,Fraunhofer,company,1f82eebadc3ffa41820ad1a0f53770247fc96dcd,citation,https://pdfs.semanticscholar.org/c5ac/81b17b8fcc028f375fbbd090b558ba9a437a.pdf,Using Trajectories derived by Dense Optical Flows as a Spatial Component in Background Subtraction,2016
+49,United States,TownCentre,oxford_town_centre,42.3583961,-71.09567788,MIT,edu,b18f94c5296a9cebe9e779d50d193fd180f78ed9,citation,https://arxiv.org/pdf/1604.01431.pdf,Forecasting Interactive Dynamics of Pedestrians with Fictitious Play,2017
+50,United Kingdom,TownCentre,oxford_town_centre,51.7520849,-1.2516646,Oxford University,edu,b18f94c5296a9cebe9e779d50d193fd180f78ed9,citation,https://arxiv.org/pdf/1604.01431.pdf,Forecasting Interactive Dynamics of Pedestrians with Fictitious Play,2017
+51,United States,TownCentre,oxford_town_centre,37.43131385,-122.16936535,Stanford University,edu,b18f94c5296a9cebe9e779d50d193fd180f78ed9,citation,https://arxiv.org/pdf/1604.01431.pdf,Forecasting Interactive Dynamics of Pedestrians with Fictitious Play,2017
+52,Netherlands,TownCentre,oxford_town_centre,52.3553655,4.9501644,University of Amsterdam,edu,687ec23addf5a1279e49cc46b78e3245af94ac7b,citation,https://pdfs.semanticscholar.org/687e/c23addf5a1279e49cc46b78e3245af94ac7b.pdf,UvA-DARE ( Digital Academic Repository ) Visual Tracking : An Experimental Survey Smeulders,2013
+53,Italy,TownCentre,oxford_town_centre,45.1847248,9.1582069,"Italian Institute of Technology, Genova, Italy",edu,5ab9f00a707a55f4955b378981ad425aa1cb8ea3,citation,https://arxiv.org/pdf/1901.02000.pdf,Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets,2019
+54,Germany,TownCentre,oxford_town_centre,48.1820038,11.5978282,"OSRAM GmbH, Germany",company,5ab9f00a707a55f4955b378981ad425aa1cb8ea3,citation,https://arxiv.org/pdf/1901.02000.pdf,Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets,2019
+55,Italy,TownCentre,oxford_town_centre,45.437398,11.003376,University of Verona,edu,5ab9f00a707a55f4955b378981ad425aa1cb8ea3,citation,https://arxiv.org/pdf/1901.02000.pdf,Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets,2019
+56,United Kingdom,TownCentre,oxford_town_centre,51.7534538,-1.25400997,University of Oxford,edu,3ed9730e5ec8716e8cdf55f207ef973a9c854574,citation,https://arxiv.org/pdf/1612.05234.pdf,Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator,2016
+57,United States,TownCentre,oxford_town_centre,29.7207902,-95.34406271,University of Houston,edu,58eba9930b63cc14715368acf40017293b8dc94f,citation,https://pdfs.semanticscholar.org/7508/ac08dd7b9694bcfe71a617df7fcf3df80952.pdf,What Do I See? Modeling Human Visual Perception for Multi-person Tracking,2014
+58,United States,TownCentre,oxford_town_centre,29.7207902,-95.34406271,University of Houston,edu,a0b489eeb4f7fd2249da756d829e179a6718d9d1,citation,,"""Seeing is Believing"": Pedestrian Trajectory Forecasting Using Visual Frustum of Attention",2018
+59,Belgium,TownCentre,oxford_town_centre,50.8779545,4.7002953,"KULeuven, EAVISE",edu,4ec4392246a7760d189cd6ea48a81664cd2fe4bf,citation,https://pdfs.semanticscholar.org/4ec4/392246a7760d189cd6ea48a81664cd2fe4bf.pdf,GPU Accelerated ACF Detector,2018
+60,United States,TownCentre,oxford_town_centre,40.7982133,-77.8599084,The Pennsylvania State University,edu,6e32c368a6157fb911c9363dc3e967a7fb2ad9f7,citation,https://pdfs.semanticscholar.org/8268/d68f6aa510a765466b2c7f2ba2ea34a48c51.pdf,Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians,2014
+61,United States,TownCentre,oxford_town_centre,40.4439789,-79.9464634,Disney Research Pittsburgh,edu,6e32c368a6157fb911c9363dc3e967a7fb2ad9f7,citation,https://pdfs.semanticscholar.org/8268/d68f6aa510a765466b2c7f2ba2ea34a48c51.pdf,Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians,2014
+62,India,TownCentre,oxford_town_centre,13.0304619,77.5646862,"M.S. Ramaiah Institute of Technology, Bangalore, India",edu,6f089f9959cc711e16f1ebe0c6251aaf8a65959a,citation,https://pdfs.semanticscholar.org/6f08/9f9959cc711e16f1ebe0c6251aaf8a65959a.pdf,Improvement in object detection using Super Pixels,2016
+63,United States,TownCentre,oxford_town_centre,38.99203005,-76.9461029,University of Maryland College Park,edu,4e82908e6482d973c280deb79c254631a60f1631,citation,https://pdfs.semanticscholar.org/4e82/908e6482d973c280deb79c254631a60f1631.pdf,Improving Efficiency and Scalability in Visual Surveillance Applications,2013
+64,United States,TownCentre,oxford_town_centre,37.8718992,-122.2585399,University of California,edu,38b5a83f7941fea5fd82466f8ce1ce4ed7749f59,citation,http://rlair.cs.ucr.edu/papers/docs/grouptracking.pdf,Improving multi-target tracking via social grouping,2012
+65,Singapore,TownCentre,oxford_town_centre,1.3484104,103.68297965,Nanyang Technological University,edu,13caf4d2e0a4b6fcfcd4b9e8e2341b8ebd38258d,citation,https://arxiv.org/pdf/1605.04502.pdf,Joint Learning of Siamese CNNs and Temporally Constrained Metrics for Tracklet Association,2016
+66,United States,TownCentre,oxford_town_centre,35.9049122,-79.0469134,The University of North Carolina at Chapel Hill,edu,45e459462a80af03e1bb51a178648c10c4250925,citation,https://arxiv.org/pdf/1606.08998.pdf,LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning,2016
+67,China,TownCentre,oxford_town_centre,30.5097537,114.4062881,Huazhong University of Science and Technology,edu,c0262e24324a6a4e6af5bd99fc79e2eb802519b3,citation,https://arxiv.org/pdf/1611.03968.pdf,Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision,2016
+68,China,TownCentre,oxford_town_centre,30.527151,114.400762,China University of Geosciences,edu,c0262e24324a6a4e6af5bd99fc79e2eb802519b3,citation,https://arxiv.org/pdf/1611.03968.pdf,Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision,2016
+69,China,TownCentre,oxford_town_centre,32.0565957,118.77408833,Nanjing University,edu,c0262e24324a6a4e6af5bd99fc79e2eb802519b3,citation,https://arxiv.org/pdf/1611.03968.pdf,Learning Scene-specific Object Detectors Based on a Generative-Discriminative Model with Minimal Supervision,2016
+70,United Kingdom,TownCentre,oxford_town_centre,51.5247272,-0.03931035,Queen Mary University of London,edu,1883387726897d94b663cc4de4df88e5c31df285,citation,http://www.eecs.qmul.ac.uk/~andrea/papers/2014_TIP_MultiTargetTrackingEvaluation_Tahir_Poiesi_Cavallaro.pdf,Measures of Effective Video Tracking,2014
+71,United States,TownCentre,oxford_town_centre,35.9113971,-79.0504529,University of North Carolina at Chapel Hill,edu,8d2bf6ecbfda94f57000b84509bf77f4c47c1c66,citation,https://arxiv.org/pdf/1707.09100.pdf,MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training,2018
+72,United States,TownCentre,oxford_town_centre,37.8718992,-122.2585399,University of California,edu,b506aa23949b6d1f0c868ad03aaaeb5e5f7f6b57,citation,http://rlair.cs.ucr.edu/papers/docs/zqin-phd.pdf,Modeling Social and Temporal Context for Video Analysis,2015
+73,Australia,TownCentre,oxford_town_centre,-34.920603,138.6062277,Adelaide University,edu,5bae9822d703c585a61575dced83fa2f4dea1c6d,citation,https://arxiv.org/pdf/1504.01942.pdf,MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking,2015
+74,Switzerland,TownCentre,oxford_town_centre,47.376313,8.5476699,ETH Zurich,edu,5bae9822d703c585a61575dced83fa2f4dea1c6d,citation,https://arxiv.org/pdf/1504.01942.pdf,MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking,2015
+75,Germany,TownCentre,oxford_town_centre,49.8748277,8.6563281,TU Darmstadt,edu,5bae9822d703c585a61575dced83fa2f4dea1c6d,citation,https://arxiv.org/pdf/1504.01942.pdf,MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking,2015
+76,United States,TownCentre,oxford_town_centre,37.8718992,-122.2585399,University of California,edu,e6d48d23308a9e0a215f7b5ba6ae30ee5d2f0ef5,citation,https://pdfs.semanticscholar.org/e6d4/8d23308a9e0a215f7b5ba6ae30ee5d2f0ef5.pdf,Multi-person Tracking by Online Learned Grouping Model with Non-linear Motion Context,2015
+77,France,TownCentre,oxford_town_centre,45.217886,5.807369,INRIA,edu,fc30d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f,citation,https://pdfs.semanticscholar.org/fc30/d7dbf4c3cdd377d8cd4e7eeabd5d73814b8f.pdf,Multiple Object Tracking by Efficient Graph Partitioning,2014
+78,Germany,TownCentre,oxford_town_centre,52.381515,9.720171,Leibniz Universität Hannover,edu,290eda31bc13cbd5933acec8b6a25b3e3761c788,citation,https://arxiv.org/pdf/1411.7935.pdf,Multiple object tracking with context awareness,2014
+79,Czech Republic,TownCentre,oxford_town_centre,49.20172,16.6033168,Brno University of Technology,edu,dc53c4bb04e787a0d45dd761ba2101cc51c17b82,citation,https://pdfs.semanticscholar.org/dc53/c4bb04e787a0d45dd761ba2101cc51c17b82.pdf,Multiple-Person Tracking by Detection,2016
+80,Germany,TownCentre,oxford_town_centre,48.1820038,11.5978282,"OSRAM GmbH, Germany",company,943b1b92b5bdee0b5770418c645a4a17bded1ccf,citation,https://arxiv.org/pdf/1805.00652.pdf,MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses,2018
+81,Italy,TownCentre,oxford_town_centre,45.437398,11.003376,University of Verona,edu,943b1b92b5bdee0b5770418c645a4a17bded1ccf,citation,https://arxiv.org/pdf/1805.00652.pdf,MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses,2018
+82,France,TownCentre,oxford_town_centre,48.8422058,2.3451689,"INRIA / Ecole Normale Supérieure, France",edu,47119c99f5aa1e47bbeb86de0f955e7c500e6a93,citation,https://arxiv.org/pdf/1408.3304.pdf,On pairwise costs for network flow multi-object tracking,2015
+83,United States,TownCentre,oxford_town_centre,42.3504253,-71.10056114,Boston University,edu,1ae3dd081b93c46cda4d72100d8b1d59eb585157,citation,https://pdfs.semanticscholar.org/fea1/0f39b0a77035fb549fc580fd951384b79f9b.pdf,Online Motion Agreement Tracking,2013
+84,Malaysia,TownCentre,oxford_town_centre,4.3400673,101.1429799,Universiti Tunku Abdul Rahman,edu,e1f815c50a6c0c6d790c60a1348393264f829e60,citation,https://pdfs.semanticscholar.org/e1f8/15c50a6c0c6d790c60a1348393264f829e60.pdf,PEDESTRIAN DETECTION AND TRACKING IN SURVEILLANCE VIDEO By PENNY CHONG,2016
+85,Germany,TownCentre,oxford_town_centre,52.381515,9.720171,Leibniz Universität Hannover,edu,422d352a7d26fef692a3cd24466bfb5b4526efea,citation,https://pdfs.semanticscholar.org/422d/352a7d26fef692a3cd24466bfb5b4526efea.pdf,Pedestrian interaction in tracking : the social force model and global optimization methods,2012
+86,Sweden,TownCentre,oxford_town_centre,57.6897063,11.9741654,Chalmers University of Technology,edu,367b5b814aa991329c2ae7f8793909ad8c0a56f1,citation,https://arxiv.org/pdf/1211.0191.pdf,Performance evaluation of random set based pedestrian tracking algorithms,2013
+87,Japan,TownCentre,oxford_town_centre,35.5152072,134.1733553,Tottori University,edu,9d89f1bc88fd65e90b31a2129719384796bed17a,citation,http://vision.unipv.it/CV/materiale2016-17/2nd%20Choice/0225.pdf,Person re-identification using co-occurrence attributes of physical and adhered human characteristics,2016
+88,Germany,TownCentre,oxford_town_centre,52.381515,9.720171,Leibniz Universität Hannover,edu,48705017d91a157949cfaaeb19b826014899a36b,citation,https://pdfs.semanticscholar.org/4870/5017d91a157949cfaaeb19b826014899a36b.pdf,PROBABILISTIC MULTI-PERSON TRACKING USING DYNAMIC BAYES NETWORKS,2015
+89,Italy,TownCentre,oxford_town_centre,39.2173657,9.1149218,"Università degli Studi di Cagliari, Italy",edu,7c1f47ca50a8a55f93bf69791d9df2f994019758,citation,http://veprints.unica.it/1295/1/PhD_ThesisPalaF.pdf,Re-identification and semantic retrieval of pedestrians in video surveillance scenarios,2016
+90,United Kingdom,TownCentre,oxford_town_centre,51.5247272,-0.03931035,Queen Mary University of London,edu,3a28059df29b74775f77fd20a15dc6b5fe857556,citation,https://pdfs.semanticscholar.org/3a28/059df29b74775f77fd20a15dc6b5fe857556.pdf,Riccardo Mazzon PhD Thesis 2013,2013
+91,Brazil,TownCentre,oxford_town_centre,-30.0338248,-51.218828,Federal University of Rio Grande do Sul,edu,057517452369751bd63d83902ea91558d58161da,citation,http://inf.ufrgs.br/~gfuhr/papers/102095_3.pdf,Robust Patch-Based Pedestrian Tracking Using Monocular Calibrated Cameras,2012
+92,China,TownCentre,oxford_town_centre,28.727339,115.816633,Jiangxi University of Finance and Economics,edu,1642358cd9410abe9ee512d34ba68296b308770e,citation,https://arxiv.org/pdf/1807.04562.pdf,Robustness Analysis of Pedestrian Detectors for Surveillance,2018
+93,Singapore,TownCentre,oxford_town_centre,1.3484104,103.68297965,Nanyang Technological University,edu,1642358cd9410abe9ee512d34ba68296b308770e,citation,https://arxiv.org/pdf/1807.04562.pdf,Robustness Analysis of Pedestrian Detectors for Surveillance,2018
+94,China,TownCentre,oxford_town_centre,34.250803,108.983693,Xi’an Jiaotong University,edu,1642358cd9410abe9ee512d34ba68296b308770e,citation,https://arxiv.org/pdf/1807.04562.pdf,Robustness Analysis of Pedestrian Detectors for Surveillance,2018
+95,Singapore,TownCentre,oxford_town_centre,1.3484104,103.68297965,Nanyang Technological University,edu,7c132e0a2b7e13c78784287af38ad74378da31e5,citation,https://pdfs.semanticscholar.org/7c13/2e0a2b7e13c78784287af38ad74378da31e5.pdf,Salient Parts based Multi-people Tracking,2015
+96,China,TownCentre,oxford_town_centre,40.0044795,116.370238,Chinese Academy of Sciences,edu,679136c2844eeddca34e98e483aca1ff6ef5e902,citation,https://arxiv.org/pdf/1712.08745.pdf,Scene-Specific Pedestrian Detection Based on Parallel Vision,2017
+97,China,TownCentre,oxford_town_centre,34.250803,108.983693,Xi’an Jiaotong University,edu,679136c2844eeddca34e98e483aca1ff6ef5e902,citation,https://arxiv.org/pdf/1712.08745.pdf,Scene-Specific Pedestrian Detection Based on Parallel Vision,2017
+98,China,TownCentre,oxford_town_centre,40.0044795,116.370238,Chinese Academy of Sciences,edu,57e9b0d3ab6295e914d5a30cfaa3b2c81189abc1,citation,https://arxiv.org/pdf/1611.07544.pdf,Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model,2017
+99,United States,TownCentre,oxford_town_centre,35.9990522,-78.9290629,Duke University,edu,57e9b0d3ab6295e914d5a30cfaa3b2c81189abc1,citation,https://arxiv.org/pdf/1611.07544.pdf,Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model,2017
+100,Switzerland,TownCentre,oxford_town_centre,47.3764534,8.54770931,ETH Zürich,edu,70b42bbd76e6312d39ea06b8a0c24beb4a93e022,citation,http://www.tnt.uni-hannover.de/papers/data/1075/WACV2015_Abstract.pdf,Solving Multiple People Tracking in a Minimum Cost Arborescence,2015
+101,United States,TownCentre,oxford_town_centre,42.718568,-84.47791571,Michigan State University,edu,acf0db156406ddad1ace2ff2696cb60d0a04cf7c,citation,http://hal.cse.msu.edu/assets/pdfs/papers/2018-ijcv-visual-compiler.pdf,Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance,2018
+102,United Kingdom,TownCentre,oxford_town_centre,51.7534538,-1.25400997,University of Oxford,edu,acf0db156406ddad1ace2ff2696cb60d0a04cf7c,citation,http://hal.cse.msu.edu/assets/pdfs/papers/2018-ijcv-visual-compiler.pdf,Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance,2018
+103,Japan,TownCentre,oxford_town_centre,36.05238585,140.11852361,Institute of Industrial Science,edu,acf0db156406ddad1ace2ff2696cb60d0a04cf7c,citation,http://hal.cse.msu.edu/assets/pdfs/papers/2018-ijcv-visual-compiler.pdf,Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance,2018
+104,United States,TownCentre,oxford_town_centre,40.4441619,-79.94272826,Carnegie Mellon University,edu,acf0db156406ddad1ace2ff2696cb60d0a04cf7c,citation,http://hal.cse.msu.edu/assets/pdfs/papers/2018-ijcv-visual-compiler.pdf,Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance,2018
+105,Sweden,TownCentre,oxford_town_centre,57.7172004,11.9218558,"Volvo Construction Equipment, Göthenburg, Sweden",company,acf0db156406ddad1ace2ff2696cb60d0a04cf7c,citation,http://hal.cse.msu.edu/assets/pdfs/papers/2018-ijcv-visual-compiler.pdf,Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance,2018
+106,United States,TownCentre,oxford_town_centre,35.9990522,-78.9290629,Duke University,edu,64e0690dd176a93de9d4328f6e31fc4afe1e7536,citation,https://pdfs.semanticscholar.org/64e0/690dd176a93de9d4328f6e31fc4afe1e7536.pdf,Tracking Multiple People Online and in Real Time,2014
+107,Switzerland,TownCentre,oxford_town_centre,47.3764534,8.54770931,ETH Zürich,edu,64c78c8bf779a27e819fd9d5dba91247ab5a902b,citation,https://arxiv.org/pdf/1607.07304.pdf,Tracking with multi-level features.,2016
+108,Germany,TownCentre,oxford_town_centre,52.381515,9.720171,Leibniz Universität Hannover,edu,64c78c8bf779a27e819fd9d5dba91247ab5a902b,citation,https://arxiv.org/pdf/1607.07304.pdf,Tracking with multi-level features.,2016
+109,Germany,TownCentre,oxford_town_centre,48.14955455,11.56775314,Technical University Munich,edu,64c78c8bf779a27e819fd9d5dba91247ab5a902b,citation,https://arxiv.org/pdf/1607.07304.pdf,Tracking with multi-level features.,2016
+110,Singapore,TownCentre,oxford_town_centre,1.3484104,103.68297965,Nanyang Technological University,edu,7d3698c0e828d05f147682b0f5bfcd3b681ff205,citation,https://arxiv.org/pdf/1511.06654.pdf,Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation,2017
+111,Australia,TownCentre,oxford_town_centre,-35.2809368,149.1300092,"NICTA, Canberra",edu,f0cc615b14c97482faa9c47eb855303c71ff03a7,citation,https://pdfs.semanticscholar.org/f0cc/615b14c97482faa9c47eb855303c71ff03a7.pdf,Tracklet clustering for robust multiple object tracking using distance dependent Chinese restaurant processes,2016
+112,Germany,TownCentre,oxford_town_centre,52.5180641,13.3250425,TU Berlin,edu,c4cd19cf41a2f5cd543d81b94afe6cc42785920a,citation,http://elvera.nue.tu-berlin.de/files/1491Bochinski2016.pdf,Training a convolutional neural network for multi-class object detection using solely virtual world data,2016
diff --git a/site/datasets/verified/pa_100k.csv b/site/datasets/verified/pa_100k.csv
new file mode 100644
index 00000000..b79ce7f3
--- /dev/null
+++ b/site/datasets/verified/pa_100k.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,PA-100K,pa_100k,0.0,0.0,,,,main,,HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis,2017
diff --git a/site/datasets/verified/penn_fudan.csv b/site/datasets/verified/penn_fudan.csv
new file mode 100644
index 00000000..10427ed0
--- /dev/null
+++ b/site/datasets/verified/penn_fudan.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,Penn Fudan,penn_fudan,0.0,0.0,,,,main,,Object Detection Combining Recognition and Segmentation,2007
diff --git a/site/datasets/verified/peta.csv b/site/datasets/verified/peta.csv
new file mode 100644
index 00000000..e999095c
--- /dev/null
+++ b/site/datasets/verified/peta.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,PETA,peta,0.0,0.0,,,,main,,Pedestrian Attribute Recognition At Far Distance,2014
diff --git a/site/datasets/verified/pilot_parliament.csv b/site/datasets/verified/pilot_parliament.csv
new file mode 100644
index 00000000..45279348
--- /dev/null
+++ b/site/datasets/verified/pilot_parliament.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,PPB,pilot_parliament,0.0,0.0,,,,main,,Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification,2018
diff --git a/site/datasets/verified/pipa.csv b/site/datasets/verified/pipa.csv
new file mode 100644
index 00000000..3acdccff
--- /dev/null
+++ b/site/datasets/verified/pipa.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,PIPA,pipa,0.0,0.0,,,,main,,Beyond frontal faces: Improving Person Recognition using multiple cues,2015
diff --git a/site/datasets/verified/pku_reid.csv b/site/datasets/verified/pku_reid.csv
new file mode 100644
index 00000000..46dea72b
--- /dev/null
+++ b/site/datasets/verified/pku_reid.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,PKU-Reid,pku_reid,0.0,0.0,,,,main,,Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification,2015
diff --git a/site/datasets/verified/prid.csv b/site/datasets/verified/prid.csv
new file mode 100644
index 00000000..622bae62
--- /dev/null
+++ b/site/datasets/verified/prid.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,PRID,prid,0.0,0.0,,,,main,,Person Re-identification by Descriptive and Discriminative Classification,2011
diff --git a/site/datasets/verified/pubfig.csv b/site/datasets/verified/pubfig.csv
new file mode 100644
index 00000000..5152566a
--- /dev/null
+++ b/site/datasets/verified/pubfig.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,PubFig,pubfig,0.0,0.0,,,,main,,Attribute and simile classifiers for face verification,2009
diff --git a/site/datasets/verified/pubfig_83.csv b/site/datasets/verified/pubfig_83.csv
new file mode 100644
index 00000000..9385e8cd
--- /dev/null
+++ b/site/datasets/verified/pubfig_83.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,pubfig83,pubfig_83,0.0,0.0,,,,main,,Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook,2011
diff --git a/site/datasets/verified/social_relation.csv b/site/datasets/verified/social_relation.csv
new file mode 100644
index 00000000..eb7f473e
--- /dev/null
+++ b/site/datasets/verified/social_relation.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,Social Relation,social_relation,0.0,0.0,,,,main,,Learning Social Relation Traits from Face Images,2015
diff --git a/site/datasets/verified/tisi.csv b/site/datasets/verified/tisi.csv
new file mode 100644
index 00000000..80f164c4
--- /dev/null
+++ b/site/datasets/verified/tisi.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,Times Square Intersection,tisi,0.0,0.0,,,,main,,Video Synopsis by Heterogeneous Multi-source Correlation,2013
diff --git a/site/datasets/verified/uccs.csv b/site/datasets/verified/uccs.csv
new file mode 100644
index 00000000..d7c84820
--- /dev/null
+++ b/site/datasets/verified/uccs.csv
@@ -0,0 +1,9 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,UCCS,uccs,0.0,0.0,,,,main,,Large scale unconstrained open set face database,2013
+1,United States,UCCS,uccs,41.70456775,-86.23822026,University of Notre Dame,edu,841855205818d3a6d6f85ec17a22515f4f062882,citation,https://arxiv.org/pdf/1805.11529.pdf,Low Resolution Face Recognition in the Wild,2018
+2,United States,UCCS,uccs,40.11571585,-88.22750772,Beckman Institute,edu,288d2704205d9ca68660b9f3a8fda17e18329c13,citation,https://arxiv.org/pdf/1601.04153.pdf,Studying Very Low Resolution Recognition Using Deep Networks,2016
+3,United States,UCCS,uccs,38.8920756,-104.79716389,"University of Colorado, Colorado Springs",edu,d4f1eb008eb80595bcfdac368e23ae9754e1e745,citation,,Unconstrained Face Detection and Open-Set Face Recognition Challenge,2017
+4,United Kingdom,UCCS,uccs,51.5247272,-0.03931035,Queen Mary University of London,edu,2306b2a8fba28539306052764a77a0d0f5d1236a,citation,https://arxiv.org/pdf/1804.09691.pdf,Surveillance Face Recognition Challenge,2018
+5,United Kingdom,UCCS,uccs,55.378051,-3.435973,"Vision Semantics Ltd, UK",edu,2306b2a8fba28539306052764a77a0d0f5d1236a,citation,https://arxiv.org/pdf/1804.09691.pdf,Surveillance Face Recognition Challenge,2018
+6,China,UCCS,uccs,39.9808333,116.34101249,Beihang University,edu,c50e498ede6f5216cffd0645e747ce67fae2096a,citation,https://arxiv.org/pdf/1811.09998.pdf,Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation,2018
+7,China,UCCS,uccs,39.97426,116.21589,"Institute of Information Engineering, CAS, Beijing, China",edu,c50e498ede6f5216cffd0645e747ce67fae2096a,citation,https://arxiv.org/pdf/1811.09998.pdf,Low-Resolution Face Recognition in the Wild via Selective Knowledge Distillation,2018
diff --git a/site/datasets/verified/ucf_selfie.csv b/site/datasets/verified/ucf_selfie.csv
new file mode 100644
index 00000000..c32488ba
--- /dev/null
+++ b/site/datasets/verified/ucf_selfie.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,UCF Selfie,ucf_selfie,0.0,0.0,,,,main,,How to Take a Good Selfie?,2015
diff --git a/site/datasets/verified/ufdd.csv b/site/datasets/verified/ufdd.csv
new file mode 100644
index 00000000..cec3e352
--- /dev/null
+++ b/site/datasets/verified/ufdd.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,UFDD,ufdd,0.0,0.0,,,,main,,Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results,2018
diff --git a/site/datasets/verified/umd_faces.csv b/site/datasets/verified/umd_faces.csv
new file mode 100644
index 00000000..03a3ed68
--- /dev/null
+++ b/site/datasets/verified/umd_faces.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,UMD,umd_faces,0.0,0.0,,,,main,,UMDFaces: An annotated face dataset for training deep networks,2017
diff --git a/site/datasets/verified/urban_tribes.csv b/site/datasets/verified/urban_tribes.csv
new file mode 100644
index 00000000..be8799f6
--- /dev/null
+++ b/site/datasets/verified/urban_tribes.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,Urban Tribes,urban_tribes,0.0,0.0,,,,main,,From Bikers to Surfers: Visual Recognition of Urban Tribes,2013
diff --git a/site/datasets/verified/used.csv b/site/datasets/verified/used.csv
new file mode 100644
index 00000000..52c7be2f
--- /dev/null
+++ b/site/datasets/verified/used.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,USED Social Event Dataset,used,0.0,0.0,,,,main,,USED: a large-scale social event detection dataset,2016
diff --git a/site/datasets/verified/vadana.csv b/site/datasets/verified/vadana.csv
new file mode 100644
index 00000000..43b21fa4
--- /dev/null
+++ b/site/datasets/verified/vadana.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,VADANA,vadana,0.0,0.0,,,,main,,VADANA: A dense dataset for facial image analysis,2011
diff --git a/site/datasets/verified/vgg_celebs_in_places.csv b/site/datasets/verified/vgg_celebs_in_places.csv
new file mode 100644
index 00000000..41086905
--- /dev/null
+++ b/site/datasets/verified/vgg_celebs_in_places.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,CIP,vgg_celebs_in_places,0.0,0.0,,,,main,,Faces in Places: compound query retrieval,2016
diff --git a/site/datasets/verified/vgg_faces.csv b/site/datasets/verified/vgg_faces.csv
new file mode 100644
index 00000000..9d95ac17
--- /dev/null
+++ b/site/datasets/verified/vgg_faces.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,VGG Face,vgg_faces,0.0,0.0,,,,main,,Deep Face Recognition,2015
diff --git a/site/datasets/verified/vgg_faces2.csv b/site/datasets/verified/vgg_faces2.csv
new file mode 100644
index 00000000..689b801e
--- /dev/null
+++ b/site/datasets/verified/vgg_faces2.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,VGG Face2,vgg_faces2,0.0,0.0,,,,main,,VGGFace2: A Dataset for Recognising Faces across Pose and Age,2018
diff --git a/site/datasets/verified/viper.csv b/site/datasets/verified/viper.csv
new file mode 100644
index 00000000..9885dfe5
--- /dev/null
+++ b/site/datasets/verified/viper.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,VIPeR,viper,0.0,0.0,,,,main,,"Evaluating Appearance Models for Recognition, Reacquisition, and Tracking",2007
diff --git a/site/datasets/verified/vmu.csv b/site/datasets/verified/vmu.csv
new file mode 100644
index 00000000..dd40d38b
--- /dev/null
+++ b/site/datasets/verified/vmu.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,VMU,vmu,0.0,0.0,,,,main,,Can facial cosmetics affect the matching accuracy of face recognition systems?,2012
diff --git a/site/datasets/verified/voc.csv b/site/datasets/verified/voc.csv
new file mode 100644
index 00000000..89a14200
--- /dev/null
+++ b/site/datasets/verified/voc.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,VOC,voc,0.0,0.0,,,,main,,The Pascal Visual Object Classes (VOC) Challenge,2009
diff --git a/site/datasets/verified/who_goes_there.csv b/site/datasets/verified/who_goes_there.csv
new file mode 100644
index 00000000..8ff8ff9a
--- /dev/null
+++ b/site/datasets/verified/who_goes_there.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,WGT,who_goes_there,0.0,0.0,,,,main,,Who goes there?: approaches to mapping facial appearance diversity,2016
diff --git a/site/datasets/verified/wider.csv b/site/datasets/verified/wider.csv
new file mode 100644
index 00000000..bfabc75b
--- /dev/null
+++ b/site/datasets/verified/wider.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,WIDER,wider,0.0,0.0,,,,main,,Recognize complex events from static images by fusing deep channels,2015
diff --git a/site/datasets/verified/wider_attribute.csv b/site/datasets/verified/wider_attribute.csv
new file mode 100644
index 00000000..29165936
--- /dev/null
+++ b/site/datasets/verified/wider_attribute.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,WIDER Attribute,wider_attribute,0.0,0.0,,,,main,,Human Attribute Recognition by Deep Hierarchical Contexts,2016
diff --git a/site/datasets/verified/wider_face.csv b/site/datasets/verified/wider_face.csv
new file mode 100644
index 00000000..86c470e4
--- /dev/null
+++ b/site/datasets/verified/wider_face.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,WIDER FACE,wider_face,0.0,0.0,,,,main,,WIDER FACE: A Face Detection Benchmark,2016
diff --git a/site/datasets/verified/wildtrack.csv b/site/datasets/verified/wildtrack.csv
new file mode 100644
index 00000000..e6329a56
--- /dev/null
+++ b/site/datasets/verified/wildtrack.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,WildTrack,wildtrack,0.0,0.0,,,,main,,WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection,2018
diff --git a/site/datasets/verified/yale_faces.csv b/site/datasets/verified/yale_faces.csv
new file mode 100644
index 00000000..fd43e5cf
--- /dev/null
+++ b/site/datasets/verified/yale_faces.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,YaleFaces,yale_faces,0.0,0.0,,,,main,,From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose,2001
diff --git a/site/datasets/verified/yfcc_100m.csv b/site/datasets/verified/yfcc_100m.csv
new file mode 100644
index 00000000..c7b3cd1f
--- /dev/null
+++ b/site/datasets/verified/yfcc_100m.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,YFCC100M,yfcc_100m,0.0,0.0,,,,main,,YFCC100M: the new data in multimedia research,2016
diff --git a/site/datasets/verified/youtube_celebrities.csv b/site/datasets/verified/youtube_celebrities.csv
new file mode 100644
index 00000000..a3b08ee1
--- /dev/null
+++ b/site/datasets/verified/youtube_celebrities.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,YouTube Celebrities,youtube_celebrities,0.0,0.0,,,,main,,Face tracking and recognition with visual constraints in real-world videos,2008
diff --git a/site/datasets/verified/youtube_faces.csv b/site/datasets/verified/youtube_faces.csv
new file mode 100644
index 00000000..32356450
--- /dev/null
+++ b/site/datasets/verified/youtube_faces.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,YouTubeFaces,youtube_faces,0.0,0.0,,,,main,,Face recognition in unconstrained videos with matched background similarity,2011
diff --git a/site/datasets/verified/youtube_makeup.csv b/site/datasets/verified/youtube_makeup.csv
new file mode 100644
index 00000000..9ea99ac9
--- /dev/null
+++ b/site/datasets/verified/youtube_makeup.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,YMU,youtube_makeup,0.0,0.0,,,,main,,Can facial cosmetics affect the matching accuracy of face recognition systems?,2012
diff --git a/site/datasets/verified/youtube_poses.csv b/site/datasets/verified/youtube_poses.csv
new file mode 100644
index 00000000..5298f596
--- /dev/null
+++ b/site/datasets/verified/youtube_poses.csv
@@ -0,0 +1,2 @@
+id,country,dataset_name,key,lat,lng,loc,loc_type,paper_id,paper_type,paper_url,title,year
+0,,YouTube Pose,youtube_poses,0.0,0.0,,,,main,,Personalizing Human Video Pose Estimation,2016
diff --git a/site/includes/cite_our_work.html b/site/includes/cite_our_work.html
new file mode 100644
index 00000000..8625355e
--- /dev/null
+++ b/site/includes/cite_our_work.html
@@ -0,0 +1,18 @@
+<section>
+
+  <h4>Cite Our Work</h4>
+  <p>
+  	
+  	If you use our data, research, or graphics please cite our work:
+
+<pre id="cite-bibtex">
+@online{megapixels,
+  author = {Harvey, Adam. LaPlace, Jules.},
+  title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
+  year = 2019,
+  url = {https://megapixels.cc/},
+  urldate = {2019-04-18}
+}</pre>
+
+	</p>
+</section>
diff --git a/site/includes/dashboard.html b/site/includes/dashboard.html
new file mode 100644
index 00000000..814955b5
--- /dev/null
+++ b/site/includes/dashboard.html
@@ -0,0 +1,52 @@
+<section>
+  <h3>Who used {{ metadata.meta.dataset.name_display }}?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
+	
+	<h3>Biometric Trade Routes</h3>
+
+	<p>
+		To help understand how {{ metadata.meta.dataset.name_display }} has been used around the world by commercial, military, and academic organizations; existing publicly available research citing {{ metadata.meta.dataset.name_full }} was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
+	</p>
+ 
+ </section>
+
+<section class="applet_container fullwidth">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
+</section>
+
+<div class="caption">
+	<ul class="map-legend">
+	<li class="edu">Academic</li>
+	<li class="com">Commercial</li>
+	<li class="gov">Military / Government</li>
+	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
+</div>
+
+
+<section class="applet_container">
+
+  <h3>Dataset Citations</h3>
+  <p>
+    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
+  </p>
+
+  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
+</section>
\ No newline at end of file
diff --git a/site/includes/last_updated.html b/site/includes/last_updated.html
new file mode 100644
index 00000000..f853a7a7
--- /dev/null
+++ b/site/includes/last_updated.html
@@ -0,0 +1,3 @@
+<section>
+  <p>This page was last updated on {{ metadata.updated }}</p>
+</section>
\ No newline at end of file
diff --git a/site/includes/map.html b/site/includes/map.html
index 7511d4c7..3f50b027 100644
--- a/site/includes/map.html
+++ b/site/includes/map.html
@@ -1,25 +1,15 @@
 <section>
 	
 	<h3>Biometric Trade Routes</h3>
-<!-- 
-	<div class="map-sidebar right-sidebar">
-	  <h3>Legend</h3>
-	  <ul>
-	    <li><span style="color: #f2f293">&#9632;</span> Industry</li>
-	    <li><span style="color: #f30000">&#9632;</span> Academic</li>
-	    <li><span style="color: #3264f6">&#9632;</span> Government</li>
-	  </ul>
-	</div>
-	 -->
+
 	<p>
-		To help understand how {{ metadata.meta.dataset.name_display }} has been used around the world for commercial, military and academic research; publicly available research citing {{ metadata.meta.dataset.name_full }} is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
+		To help understand how {{ metadata.meta.dataset.name_display }} has been used around the world by commercial, military, and academic organizations; existing publicly available research citing {{ metadata.meta.dataset.name_full }} was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the location markers to reveal research projects at that location.
 	</p>
  
  </section>
 
 <section class="applet_container fullwidth">
  <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
-
 </section>
 
 <div class="caption">
@@ -27,13 +17,6 @@
 	<li class="edu">Academic</li>
 	<li class="com">Commercial</li>
 	<li class="gov">Military / Government</li>
-	<li class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</li>
 	</ul>
-</div>
-
-<!-- <section>
-	<p class='subp'>
-		[section under development] {{ metadata.meta.dataset.name_display }} ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.
-	</p>
-</section>
- -->
\ No newline at end of file
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> and then dataset usage verified and geolocated.</div >
+</div>
\ No newline at end of file
diff --git a/site/includes/supplementary_header.html b/site/includes/supplementary_header.html
index be0967e4..125560cf 100644
--- a/site/includes/supplementary_header.html
+++ b/site/includes/supplementary_header.html
@@ -5,6 +5,6 @@
       <div class="hr-wave-line hr-wave-line2"></div>
   </div>
 
-  <h3>Supplementary Information</h3>
+  <h2>Supplementary Information</h2>
   
 </section>
diff --git a/site/public/about/assets/LICENSE/index.html b/site/public/about/assets/LICENSE/index.html
new file mode 100644
index 00000000..66d8b3ac
--- /dev/null
+++ b/site/public/about/assets/LICENSE/index.html
@@ -0,0 +1,58 @@
+<!doctype html>
+<html>
+<head>
+  <title>MegaPixels</title>
+  <meta charset="utf-8" />
+  <meta name="author" content="Adam Harvey" />
+  <meta name="description" content="" />
+  <meta name="referrer" content="no-referrer" />
+  <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+  <link rel='stylesheet' href='/assets/css/fonts.css' />
+  <link rel='stylesheet' href='/assets/css/css.css' />
+  <link rel='stylesheet' href='/assets/css/leaflet.css' />
+  <link rel='stylesheet' href='/assets/css/applets.css' />
+</head>
+<body>
+  <header>
+    <a class='slogan' href="/">
+      <div class='logo'></div>
+      <div class='site_name'>MegaPixels</div>
+      
+    </a>
+    <div class='links'>
+      <a href="/datasets/">Datasets</a>
+      <a href="/about/">About</a>
+    </div>
+  </header>
+  <div class="content content-">
+    
+  <section><p>and include this license and attribution protocol within any derivative work.</p>
+<p>If you publish data derived from MegaPixels, the original dataset creators should first be notified.</p>
+<p>The MegaPixels dataset is made available under the Open Data Commons Attribution License (<a href="https://opendatacommons.org/licenses/by/1.0/">https://opendatacommons.org/licenses/by/1.0/</a>) and for academic use only.</p>
+<p>READABLE SUMMARY OF Open Data Commons Attribution License</p>
+<p>You are free:</p>
+<p>To Share: To copy, distribute and use the dataset
+   To Create: To produce works from the dataset
+   To Adapt: To modify, transform and build upon the database</p>
+<p>As long as you:</p>
+<p>Attribute: You must attribute any public use of the database, or works produced from the database, in the manner specified in the license. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the database and keep intact any notices on the original database.</p>
+</section>
+
+  </div>
+  <footer>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
+      <li><a href="/datasets/">Datasets</a></li>
+      <li><a href="/about/">About</a></li>
+      <li><a href="/about/press/">Press</a></li>
+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
+  </footer>
+</body>
+
+<script src="/assets/js/dist/index.js"></script>
+</html>
\ No newline at end of file
diff --git a/site/public/about/attribution/index.html b/site/public/about/attribution/index.html
new file mode 100644
index 00000000..5fe92b8d
--- /dev/null
+++ b/site/public/about/attribution/index.html
@@ -0,0 +1,78 @@
+<!doctype html>
+<html>
+<head>
+  <title>MegaPixels</title>
+  <meta charset="utf-8" />
+  <meta name="author" content="Adam Harvey" />
+  <meta name="description" content="MegaPixels Privacy Policy" />
+  <meta name="referrer" content="no-referrer" />
+  <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+  <link rel='stylesheet' href='/assets/css/fonts.css' />
+  <link rel='stylesheet' href='/assets/css/css.css' />
+  <link rel='stylesheet' href='/assets/css/leaflet.css' />
+  <link rel='stylesheet' href='/assets/css/applets.css' />
+</head>
+<body>
+  <header>
+    <a class='slogan' href="/">
+      <div class='logo'></div>
+      <div class='site_name'>MegaPixels</div>
+      
+    </a>
+    <div class='links'>
+      <a href="/datasets/">Datasets</a>
+      <a href="/about/">About</a>
+    </div>
+  </header>
+  <div class="content content-about">
+    
+  <section><h1>Legal</h1>
+<section class="about-menu">
+<ul>
+<li><a href="/about/">About</a></li>
+<li><a href="/about/press/">Press</a></li>
+<li><a class="current" href="/about/attribution/">Attribution</a></li>
+<li><a href="/about/legal/">Legal / Privacy</a></li>
+</ul>
+</section><p>ATTRIBUTION PROTOCOL</p>
+<p>If you use the MegaPixels data or any data derived from it, please cite the original work as follows:</p>
+<pre>
+@online{megapixels,
+ author = {Harvey, Adam. LaPlace, Jules.},
+ title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
+ year = 2019,
+ url = {https://megapixels.cc/},
+ urldate = {2019-04-20}
+}
+</pre><p>and include this license and attribution protocol within any derivative work.</p>
+<p>If you publish data derived from MegaPixels, the original dataset creators should first be notified.</p>
+<p>The MegaPixels dataset is made available under the Open Data Commons Attribution License (<a href="https://opendatacommons.org/licenses/by/1.0/">https://opendatacommons.org/licenses/by/1.0/</a>) and for academic use only.</p>
+<p>READABLE SUMMARY OF Open Data Commons Attribution License</p>
+<p>You are free:</p>
+<blockquote><p>To Share: To copy, distribute and use the dataset
+To Create: To produce works from the dataset
+To Adapt: To modify, transform and build upon the database</p>
+</blockquote>
+<p>As long as you:</p>
+<blockquote><p>Attribute: You must attribute any public use of the database, or works produced from the database, in the manner specified in the license. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the database and keep intact any notices on the original database.</p>
+</blockquote>
+</section>
+
+  </div>
+  <footer>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
+      <li><a href="/datasets/">Datasets</a></li>
+      <li><a href="/about/">About</a></li>
+      <li><a href="/about/press/">Press</a></li>
+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
+  </footer>
+</body>
+
+<script src="/assets/js/dist/index.js"></script>
+</html>
\ No newline at end of file
diff --git a/site/public/about/faq/index.html b/site/public/about/faq/index.html
deleted file mode 100644
index 168abd0b..00000000
--- a/site/public/about/faq/index.html
+++ /dev/null
@@ -1,59 +0,0 @@
-<!doctype html>
-<html>
-<head>
-  <title>MegaPixels</title>
-  <meta charset="utf-8" />
-  <meta name="author" content="Adam Harvey" />
-  <meta name="description" content="MegaPixels Press and News" />
-  <meta name="referrer" content="no-referrer" />
-  <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
-  <link rel='stylesheet' href='/assets/css/fonts.css' />
-  <link rel='stylesheet' href='/assets/css/css.css' />
-  <link rel='stylesheet' href='/assets/css/leaflet.css' />
-  <link rel='stylesheet' href='/assets/css/applets.css' />
-</head>
-<body>
-  <header>
-    <a class='slogan' href="/">
-      <div class='logo'></div>
-      <div class='site_name'>MegaPixels</div>
-      
-    </a>
-    <div class='links'>
-      <a href="/datasets/">Datasets</a>
-      <a href="/about/">About</a>
-    </div>
-  </header>
-  <div class="content content-about">
-    
-  <section><h1>FAQs</h1>
-<section class="about-menu">
-<ul>
-<li><a href="/about/">About</a></li>
-<li><a class="current" href="/about/faq/">FAQs</a></li>
-<li><a href="/about/press/">Press</a></li>
-<li><a href="/about/terms/">Terms</a></li>
-<li><a href="/about/privacy/">Privacy</a></li>
-</ul>
-</section><p>[ page under development ]</p>
-</section>
-
-  </div>
-  <footer>
-    <div>
-      <a href="/">MegaPixels.cc</a>
-      <a href="/about/disclaimer/">Disclaimer</a>
-      <a href="/about/terms/">Terms of Use</a>
-      <a href="/about/privacy/">Privacy</a>
-      <a href="/about/">About</a>
-      <a href="/about/team/">Team</a>
-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
-  </footer>
-</body>
-
-<script src="/assets/js/dist/index.js"></script>
-</html>
\ No newline at end of file
diff --git a/site/public/about/index.html b/site/public/about/index.html
index c379ec43..b83736d3 100644
--- a/site/public/about/index.html
+++ b/site/public/about/index.html
@@ -30,13 +30,13 @@
 <section class="about-menu">
 <ul>
 <li><a class="current" href="/about/">About</a></li>
-<li><a href="/about/faq/">FAQs</a></li>
 <li><a href="/about/press/">Press</a></li>
-<li><a href="/about/terms/">Terms</a></li>
-<li><a href="/about/privacy/">Privacy</a></li>
+<li><a href="/about/attribution/">Attribution</a></li>
+<li><a href="/about/legal/">Legal / Privacy</a></li>
 </ul>
-</section><p>MegaPixels is an independent art and research project by Adam Harvey and Jules LaPlace investigating the ethics and individual privacy implications of publicly available face recognition datasets, and their role in industry and governmental expansion into biometric surveillance technologies.</p>
-<p>The MegaPixels site is made possible with support from <a href="http://mozilla.org">Mozilla</a></p>
+</section><p>MegaPixels is an independent art and research project by Adam Harvey and Jules LaPlace that investigates the ethics, origins, and individual privacy implications of face recognition image datasets and their role in the expansion of biometric surveillance technologies.</p>
+<p>MegaPixels is made possible with support from <a href="http://mozilla.org">Mozilla</a>, our primary funding partner.</p>
+<p>Additional support for MegaPixels is provided by the European ARTificial Intelligence Network (AI LAB) at the Ars Electronica Center, 1-year research-in-residence grant from Karlsruhe HfG, and sales from the Privacy Gift Shop.</p>
 <div class="flex-container team-photos-container">
    <div class="team-member">
        <h3>Adam Harvey</h3>
@@ -50,21 +50,24 @@
        </p>
        <p><a href="https://asdf.us/">asdf.us</a></p>
    </div>
-</div><p>MegaPixels.cc is an independent research project about publicly available face recognition datasets. This website is based, in part, on earlier installations and research projects about facial recognition datasets in 2016-2018, which focused particularly on the MegaFace dataset. Since then it has evolved into a large-scale survey of publicly-available face and person analysis datasets, covering their usage, geographies, and ethics.</p>
-<p>An academic report and presentation on the findings is forthcoming. This site is published to make the research more accessible to a wider audience and to include visualizations and interactive features not possible in PDF publications. Continued research on MegaPixels is supported by a 1 year Researcher-in-Residence grant from Karlsruhe HfG.</p>
-<p>When possible, and once thoroughly verified, data generated for MegaPixels will be made available for download on <a href="https://github.com/adamhrv/megapixels">github.com/adamhrv/megapixels</a></p>
-</section><section><div class='columns columns-3'><div class='column'><h4>Team</h4>
+</div><p>The MegaPixels website is based on an <a href="https://ahprojects.com/megapixels-glassroom/">earlier installation from 2017</a> and ongoing research and lectures (<a href="https://www.youtube.com/watch?v=bfhcco9gS30">TedX</a>, <a href="https://www.cpdpconferences.org/events/megapixels-is-in-publicly-available-facial-recognition-datasets">CPDP</a>) about facial recognition datasets. Over the last several years this project has evolved into a large-scale interrogation of hundreds of publicly-available face and person analysis datasets.</p>
+<p>MegaPixels aims to provide a critical perspective on machine learning image datsets, one that might otherwise escape academia and the industry funded artificial intelligence think tanks that are often supported by the same technology companies who have created many of the datasets presented on this site.</p>
+<p>MegaPixels is an independent project, designed as a public resource for educators, students, journalists, and researchers. Each dataset presented on this site undergoes a thorough review of its images, intent, and funding sources. Though the goals are similar to publishing a public academic paper, MegaPixels is a website-first reserch project aligns closley with the goals of pre-print academic publications. As such we welcome feedback and ways to improve this site and the clarity of the research.</p>
+<p>Because this project surfaces many funding issues with datasets (from datasets funded by the C.I.A. to the National Unviversity of Defense and Technology in China), it is important that we are transparent about own funding. The original MegaPixels installation in 2017 was built as a commission for and with support from Tactical Technology Collective and Mozilla. The bulk of the research and web-development during 2018 - 2018 was supported by a grant from Mozilla. Continued development in 2019 is partially supported by a 1-year Reseacher-in-Residence grant from Karlsruhe HfG, lecture and workshop fees, and from commissions and sales from the Privacy Gift Shop.</p>
+<p>Please get in touch if you are interested in supporting this project.</p>
+</section><section><div class='columns columns-3'><div class='column'><h5>Team</h5>
 <ul>
-<li>Adam Harvey: Concept, research, design, computer vision</li>
-<li>Jules LaPlace: Information and systems architecture, data retrieval, web applications</li>
+<li>Adam Harvey: Concept, research and analysis, design, computer vision</li>
+<li>Jules LaPlace: Information and systems architecture, data management, web applications
+You are free:</li>
 </ul>
-</div><div class='column'><h4>Contributing Researchers</h4>
+</div><div class='column'><h5>Contributing Researchers</h5>
 <ul>
-<li>Berit Gilma: Dataset statistics and discovery</li>
-<li>Beth (aka Ms. Celeb): Dataset usage verification and research</li>
-<li>Mathana Stender: Commercial usage verification and research on LFW</li>
+<li>Berit Gilma</li>
+<li>Beth (aka Ms. Celeb)</li>
+<li>Mathana Stender</li>
 </ul>
-</div><div class='column'><h4>Code and Libraries</h4>
+</div><div class='column'><h5>Code and Libraries</h5>
 <ul>
 <li><a href="https://semanticscholar.org">Semantic Scholar</a> for citation aggregation</li>
 <li>Leaflet.js for maps</li>
@@ -73,22 +76,36 @@
 <li>PDFMiner.Six and Pandas for research paper data analysis</li>
 </ul>
 </div></div></section><section><p>Please direct questions, comments, or feedback to <a href="https://mastodon.social/@adamhrv">mastodon.social/@adamhrv</a></p>
-</section>
+<h4>Funding Partners</h4>
+<p>The MegaPixels website, research, and development is made possible with support form Mozilla, our primary funding partner.</p>
+<p>[ add logos ]</p>
+<p>Additional support is provided by the European ARTificial Intelligence Network (AI LAB) at the Ars Electronica Center and a 1-year research-in-residence grant from Karlsruhe HfG.</p>
+<p>[ add logos ]</p>
+<h5>Attribution</h5>
+<p>If you use MegaPixels or any data derived from it for your work, please cite our original work as follows:</p>
+<pre>
+@online{megapixels,
+ author = {Harvey, Adam. LaPlace, Jules.},
+ title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
+ year = 2019,
+ url = {https://megapixels.cc/},
+ urldate = {2019-04-20}
+}
+</pre></section>
 
   </div>
   <footer>
-    <div>
-      <a href="/">MegaPixels.cc</a>
-      <a href="/about/disclaimer/">Disclaimer</a>
-      <a href="/about/terms/">Terms of Use</a>
-      <a href="/about/privacy/">Privacy</a>
-      <a href="/about/">About</a>
-      <a href="/about/team/">Team</a>
-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
+      <li><a href="/datasets/">Datasets</a></li>
+      <li><a href="/about/">About</a></li>
+      <li><a href="/about/press/">Press</a></li>
+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
   </footer>
 </body>
 
diff --git a/site/public/about/legal/index.html b/site/public/about/legal/index.html
index 4e84a601..ce10014a 100644
--- a/site/public/about/legal/index.html
+++ b/site/public/about/legal/index.html
@@ -30,26 +30,44 @@
 <section class="about-menu">
 <ul>
 <li><a href="/about/">About</a></li>
-<li><a href="/about/faq/">FAQs</a></li>
 <li><a href="/about/press/">Press</a></li>
-<li><a href="/about/terms/">Terms</a></li>
-<li><a class="current" href="/about/privacy/">Privacy</a></li>
+<li><a href="/about/attribution/">Attribution</a></li>
+<li><a class="current" href="/about/legal/">Legal / Privacy</a></li>
 </ul>
 </section><p>MegaPixels.cc Terms and Privacy</p>
-<p>MegaPixels is an independent art and research project about the origins and ethics of publicly available face analysis image datasets. By accessing MegaPixels (the <em>Service</em> or <em>Services</em>) you agree to the terms and conditions set forth below.</p>
-<h3>Changes</h3>
-<p>We reserve the right, at our sole discretion, to modify or replace these Terms at any time. If a revision is material we will try to provide at least 30 days notice prior to any new terms taking effect. What constitutes a material change will be determined at our sole discretion.</p>
-<p>By continuing to access or use our Service after those revisions become effective, you agree to be bound by the revised terms. If you do not agree to the new terms, please stop using the Service.</p>
+<p>MegaPixels is an independent and academic art and research project about the origins and ethics of publicly available face analysis image datasets. By accessing MegaPixels (the <em>Service</em> or <em>Services</em>) you agree to the terms and conditions set forth below.</p>
 <h2>Privacy</h2>
-<p>The MegaPixels site has been designed to minimize the amount of network requests to 3rd party services and therefore prioritize the privacy of the viewer by only loading local dependencies. Additionaly, this site does not use any anaytics programs to monitor site viewers. In fact, the only data collected are the necessary server logs that used only for preventing misuse, which are deleteted at regular short-term intervals.</p>
+<p>The MegaPixels site has been designed to minimize the amount of network requests to 3rd party services and therefore prioritize the privacy of the viewer. This site does not use any local or external analytics programs to monitor site viewers. In fact, the only data collected are the necessary server logs used only for preventing misuse, which are deleted at short-term intervals.</p>
 <h2>3rd Party Services</h2>
-<p>In order to provide certain features of the site, some 3rd party services are needed. Currently, the MegaPixels.cc site uses two 3rd party services: (1) Leaflet.js for the interactive map and (2 Digital Ocean Spaces as a condent delivery network. Both services encrypt your requests to their server using HTTPS and neither service requires storing any cookies or authentication. However, both services will store files in your web browser's local cache (local storage) to improve loading performance. None of these local storage files are using for analytics, cookie-like technologies, tracking, or any similar purpose.</p>
+<p>In order to provide certain features of the site, some 3rd party services are needed. Currently, the MegaPixels.cc site uses two 3rd party services: (1) Leaflet.js for the interactive map and (2) Digital Ocean Spaces as a content delivery network. Both services encrypt your requests to their server using HTTPS and neither service requires storing any cookies or authentication. However, both services will store files in your web browser's local cache (local storage) to improve loading performance. None of these local storage files are using for analytics, tracking, or any similar purpose.</p>
 <h3>Links To Other Web Sites</h3>
-<p>The MegaPixels.cc contains many links to 3rd party websites, especically in the list of citations that are provided for each dataset. This website has no control over and assumes no responsibility for, the content, privacy policies, or practices of any third party web sites or services. You further acknowledge and agree that megapixels.cc shall not be responsible or liable, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with use of or reliance on any such content, goods or services available on or through any such web sites or services.</p>
+<p>The MegaPixels.cc contains many links to 3rd party websites, especially in the list of citations that are provided for each dataset. This website has no control over and assumes no responsibility for, the content, privacy policies, or practices of any third party web sites or services. You  acknowledge and agree that megapixels.cc shall not be responsible or liable, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with use of or reliance on any such content, goods or services available on or through any such web sites or services.</p>
 <p>We advise you to read the terms and conditions and privacy policies of any third-party web sites or services that you visit.</p>
-<h3>The Information We Provide</h3>
-<p>While every intention is made to verify and publish only verifiablenformation, at times amendments to accuracy may be required. In no event will the operators of this site be liable for your use or misuse of the information provided.</p>
-<p>We may terminate or suspend access to our Service immediately, without prior notice or liability, for any reason whatsoever, including without limitation if you breach the Terms.</p>
+<h3>Information We Collect</h3>
+<p>When you access the Service, we record your visit to the site in a server log file for the purposes of maintaining site security and preventing misuse. This includes your IP address and the header information sent by your web browser which includes the User Agent, referrer, and the requested page on our site.</p>
+<h3>Information We Share</h3>
+<p>We do not share or make public any information about individual site visitors, unless where required by law to the extent that server logs are only retained for a limited duration.</p>
+<h3>Information We Provide</h3>
+<p>We provide information for educational, journalistic, and research purposes. The published information on MegaPixels is made available under the Open Data Commons Attribution License (<a href="https://opendatacommons.org/licenses/by/1.0/">https://opendatacommons.org/licenses/by/1.0/</a>) and for academic use only.</p>
+<p>You are free:</p>
+<blockquote><p>To Share: To copy, distribute and use the dataset
+To Create: To produce works from the dataset
+To Adapt: To modify, transform and build upon the database</p>
+</blockquote>
+<p>As long as you:</p>
+<blockquote><p>Attribute: You must attribute any public use of the database, or works produced from the database, in the manner specified in the license. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the database and keep intact any notices on the original database.</p>
+</blockquote>
+<p>If you use the MegaPixels data or any data derived from it, please cite the original work as follows:</p>
+<pre>
+@online{megapixels,
+ author = {Harvey, Adam. LaPlace, Jules.},
+ title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
+ year = 2019,
+ url = {https://megapixels.cc/},
+ urldate = {2019-04-20}
+}
+</pre><p>While every intention is made to publish only verifiable information, at times information may be edited, removed, or appended for clarity or correction. In no event will the operators of this site be liable for your use or misuse of the information provided.</p>
+<p>We may terminate or suspend access to our Service immediately without prior notice or liability, for any reason whatsoever, including without limitation if you breach the Terms.</p>
 <p>All provisions of the Terms which by their nature should survive termination shall survive termination, including, without limitation, ownership provisions, warranty disclaimers, indemnity and limitations of liability.</p>
 <h3>Prohibited Uses</h3>
 <p>You may not access or use, or attempt to access or use, the Services to take any action that could harm us or a third party. You may not use the Services in violation of applicable laws or in violation of our or any third party’s intellectual property or other proprietary or legal rights. You further agree that you shall not attempt (or encourage or support anyone else's attempt) to circumvent, reverse engineer, decrypt, or otherwise alter or interfere with the Services, or any content thereof, or make any unauthorized use thereof.</p>
@@ -57,7 +75,7 @@
 <p>(i) access any part of the Services, Content, data or information you do not have permission or authorization to access;</p>
 <p>(ii) use robots, spiders, scripts, service, software or any manual or automatic device, tool, or process designed to data mine or scrape the Content, data or information from the Services, or otherwise access or collect the Content, data or information from the Services using automated means;</p>
 <p>(iii) use services, software or any manual or automatic device, tool, or process designed to circumvent any restriction, condition, or technological measure that controls access to the Services in any way, including overriding any security feature or bypassing or circumventing any access controls or use limits of the Services;</p>
-<p>(iv) cache or archive the Content (except for a public search engine’s use of spiders for creating search indices);</p>
+<p>(iv) cache or archive the Content (except for a public search engine’s use of spiders for creating search indices) with prior written consent;</p>
 <p>(v) take action that imposes an unreasonable or disproportionately large load on our network or infrastructure; and</p>
 <p>(vi) do anything that could disable, damage or change the functioning or appearance of the Services, including the presentation of advertising.</p>
 <p>Engaging in a prohibited use of the Services may result in civil, criminal, and/or administrative penalties, fines, or sanctions against the user and those assisting the user.</p>
@@ -66,22 +84,23 @@
 <p>Our failure to enforce any right or provision of these Terms will not be considered a waiver of those rights. If any provision of these Terms is held to be invalid or unenforceable by a court, the remaining provisions of these Terms will remain in effect. These Terms constitute the entire agreement between us regarding our Service, and supersede and replace any prior agreements we might have between us regarding the Service.</p>
 <h3>Indemnity</h3>
 <p>You hereby indemnify, defend and hold harmless MegaPixels (and its creators) and all officers, directors, owners, agents, information providers, affiliates, licensors and licensees (collectively, the "Indemnified Parties") from and against any and all liability and costs, including, without limitation, reasonable attorneys' fees, incurred by the Indemnified Parties in connection with any claim arising out of any breach by you or any user of your account of these Terms of Service or the foregoing representations, warranties and covenants. You shall cooperate as fully as reasonably required in the defense of any such claim. We reserves the right, at its own expense, to assume the exclusive defense and control of any matter subject to indemnification by you.</p>
+<h3>Changes</h3>
+<p>We reserve the right, at our sole discretion, to modify or replace these Terms at any time. By continuing to use or access our Service after revisions become effective, you agree to be bound by the revised terms. If you do not agree to revised terms, please do not use the Service.</p>
 </section>
 
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+    <ul class="footer-left">
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diff --git a/site/public/about/press/index.html b/site/public/about/press/index.html
index 610fda6e..70caf03c 100644
--- a/site/public/about/press/index.html
+++ b/site/public/about/press/index.html
@@ -30,31 +30,28 @@
 <section class="about-menu">
 <ul>
 <li><a href="/about/">About</a></li>
-<li><a href="/about/faq/">FAQs</a></li>
 <li><a class="current" href="/about/press/">Press</a></li>
-<li><a href="/about/terms/">Terms</a></li>
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+<li><a href="/about/attribution/">Attribution</a></li>
+<li><a href="/about/legal/">Legal / Privacy</a></li>
 </ul>
-</section><p>(TEMPORARY PAGE)</p>
-<ul>
+</section><ul>
 <li>Aug 22, 2018: "Transgender YouTubers had their videos grabbed to train facial recognition software" by James Vincent <a href="https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset">https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset</a></li>
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diff --git a/site/public/about/privacy/index.html b/site/public/about/privacy/index.html
deleted file mode 100644
index 6e760cf7..00000000
--- a/site/public/about/privacy/index.html
+++ /dev/null
@@ -1,67 +0,0 @@
-<!doctype html>
-<html>
-<head>
-  <title>MegaPixels</title>
-  <meta charset="utf-8" />
-  <meta name="author" content="Adam Harvey" />
-  <meta name="description" content="MegaPixels Privacy Policy" />
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-  <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
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-  <link rel='stylesheet' href='/assets/css/leaflet.css' />
-  <link rel='stylesheet' href='/assets/css/applets.css' />
-</head>
-<body>
-  <header>
-    <a class='slogan' href="/">
-      <div class='logo'></div>
-      <div class='site_name'>MegaPixels</div>
-    </a>
-    <div class='links'>
-      <a href="/datasets/">Datasets</a>
-      <a href="/about/">About</a>
-    </div>
-  </header>
-  <div class="content content-about">
-    
-  <section><h1>Privacy Policy</h1>
-<section class="about-menu">
-<ul>
-<li><a href="/about/">About</a></li>
-<li><a href="/about/faq/">FAQs</a></li>
-<li><a href="/about/press/">Press</a></li>
-<li><a href="/about/terms/">Terms</a></li>
-<li><a class="current" href="/about/privacy/">Privacy</a></li>
-</ul>
-</section><p>MegaPixels.cc Terms and Privacy</p>
-<p>MegaPixels is an independent art and research project about the origins and ethics of publicly available face analysis image datasets. By accessing this site you agree to the terms and conditions set forth below.</p>
-<h2>Privacy</h2>
-<p>The MegaPixels site has been designed to minimize the amount of network requests to 3rd party services and therefore prioritize the privacy of the viewer by only loading local dependencies. Additionaly, this site does not use any anaytics programs to monitor site viewers. In fact, the only data collected are the necessary server logs that used only for preventing misuse, which are deleteted at regular short-term intervals.</p>
-<h2>3rd Party Services</h2>
-<p>In order to provide certain features of the site, some 3rd party services are needed. Currently, the MegaPixels.cc site uses two 3rd party services: (1) Leaflet.js for the interactive map and (2 Digital Ocean Spaces as a condent delivery network. Both services encrypt your requests to their server using HTTPS and neither service requires storing any cookies or authentication. However, both services will store files in your web browser's local cache (local storage) to improve loading performance. None of these local storage files are using for analytics, cookie-like technologies, tracking, or any similar purpose.</p>
-<h3>Links To Other Web Sites</h3>
-<p>The MegaPixels.cc contains many links to 3rd party websites, especically in the list of citations that are provided for each dataset. This website has no control over and assumes no responsibility for, the content, privacy policies, or practices of any third party web sites or services. You further acknowledge and agree that megapixels.cc shall not be responsible or liable, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with use of or reliance on any such content, goods or services available on or through any such web sites or services.</p>
-<p>We advise you to read the terms and conditions and privacy policies of any third-party web sites or services that you visit.</p>
-</section>
-
-  </div>
-  <footer>
-    <div>
-      <a href="/">MegaPixels.cc</a>
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-      <a href="/about/">About</a>
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-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
-  </footer>
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-<script src="/assets/js/dist/index.js"></script>
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\ No newline at end of file
diff --git a/site/public/about/terms/index.html b/site/public/about/terms/index.html
deleted file mode 100644
index 58e49b78..00000000
--- a/site/public/about/terms/index.html
+++ /dev/null
@@ -1,79 +0,0 @@
-<!doctype html>
-<html>
-<head>
-  <title>MegaPixels</title>
-  <meta charset="utf-8" />
-  <meta name="author" content="Adam Harvey" />
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-    <a class='slogan' href="/">
-      <div class='logo'></div>
-      <div class='site_name'>MegaPixels</div>
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-    <div class='links'>
-      <a href="/datasets/">Datasets</a>
-      <a href="/about/">About</a>
-    </div>
-  </header>
-  <div class="content content-about">
-    
-  <section><h1>Terms and Conditions ("Terms")</h1>
-<section class="about-menu">
-<ul>
-<li><a href="/about/">About</a></li>
-<li><a href="/about/faq/">FAQs</a></li>
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-<li><a class="current" href="/about/terms/">Terms</a></li>
-<li><a href="/about/privacy/">Privacy</a></li>
-</ul>
-</section><p>(TEMPORARY PAGE)</p>
-<p>(FPO: this is only example text)</p>
-<p>Last updated: December 04, 2018</p>
-<p>Please read these Terms and Conditions ("Terms", "Terms and Conditions") carefully before using the MegaPixels website (the "Service") operated by megapixels.cc ("us", "we", or "our").</p>
-<p>Your access to and use of the Service is conditioned on your acceptance of and compliance with these Terms.</p>
-<p>By accessing or using the Service you agree to be bound by these Terms. If you disagree with any part of the terms then you may not access the Service.</p>
-<h3>Links To Other Web Sites</h3>
-<p>Our Service may contain links to third-party web sites or services that are not owned or controlled by megapixels.cc.</p>
-<p>megapixels.cc has no control over, and assumes no responsibility for, the content, privacy policies, or practices of any third party web sites or services. You further acknowledge and agree that megapixels.cc shall not be responsible or liable, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with use of or reliance on any such content, goods or services available on or through any such web sites or services.</p>
-<p>We strongly advise you to read the terms and conditions and privacy policies of any third-party web sites or services that you visit.</p>
-<h3>Termination</h3>
-<p>We may terminate or suspend access to our Service immediately, without prior notice or liability, for any reason whatsoever, including without limitation if you breach the Terms.</p>
-<p>All provisions of the Terms which by their nature should survive termination shall survive termination, including, without limitation, ownership provisions, warranty disclaimers, indemnity and limitations of liability.</p>
-<h3>Governing Law</h3>
-<p>These Terms shall be governed and construed in accordance with the laws of Berlin, Germany, without regard to its conflict of law provisions.</p>
-<p>Our failure to enforce any right or provision of these Terms will not be considered a waiver of those rights. If any provision of these Terms is held to be invalid or unenforceable by a court, the remaining provisions of these Terms will remain in effect. These Terms constitute the entire agreement between us regarding our Service, and supersede and replace any prior agreements we might have between us regarding the Service.</p>
-<h3>Changes</h3>
-<p>We reserve the right, at our sole discretion, to modify or replace these Terms at any time. If a revision is material we will try to provide at least 30 days notice prior to any new terms taking effect. What constitutes a material change will be determined at our sole discretion.</p>
-<p>By continuing to access or use our Service after those revisions become effective, you agree to be bound by the revised terms. If you do not agree to the new terms, please stop using the Service.</p>
-<h3>Contact Us</h3>
-<p>If you have any questions about these Terms, please contact us.</p>
-</section>
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-      <a href="/about/">About</a>
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diff --git a/site/public/datasets/50_people_one_question/index.html b/site/public/datasets/50_people_one_question/index.html
index 796af8d6..79411122 100644
--- a/site/public/datasets/50_people_one_question/index.html
+++ b/site/public/datasets/50_people_one_question/index.html
@@ -17,7 +17,7 @@
     <a class='slogan' href="/">
       <div class='logo'></div>
       <div class='site_name'>MegaPixels</div>
-      <div class='splash'>50 People One Question</div>
+      <div class='splash'>50 People One Question Dataset</div>
     </a>
     <div class='links'>
       <a href="/datasets/">Datasets</a>
@@ -27,7 +27,8 @@
   <div class="content content-dataset">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/50_people_one_question/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span style="color:#ffaa00">People One Question</span> is a dataset of people from an online video series on YouTube and Vimeo used for building facial recogntion algorithms</span></div><div class='hero_subdesc'><span class='bgpad'>People One Question dataset includes ...
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'>
+</span></div></div></section><section><h2>50 People 1 Question</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
     <div class='gray'>Published</div>
     <div>2013</div>
   </div><div class='meta'>
@@ -35,36 +36,42 @@
     <div>33 </div>
   </div><div class='meta'>
     <div class='gray'>Purpose</div>
-    <div>Facial landmark estimation in the wild</div>
+    <div>Facial landmark estimation</div>
   </div><div class='meta'>
     <div class='gray'>Website</div>
     <div><a href='http://www.vision.caltech.edu/~dhall/projects/MergingPoseEstimates/' target='_blank' rel='nofollow noopener'>caltech.edu</a></div>
-  </div><div class='meta'><div><div class='gray'>Collected</div><div>TBD</div></div><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div></div></div><h2>50 People 1 Question</h2>
-<p>(PAGE UNDER DEVELOPMENT)</p>
-<p>At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio.</p>
-<p>Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat</p>
+  </div></div><p>[ page under development ]</p>
 </section><section>
+  <h3>Who used 50 People One Question Dataset?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
 	
 	<h3>Biometric Trade Routes</h3>
-<!-- 
-	<div class="map-sidebar right-sidebar">
-	  <h3>Legend</h3>
-	  <ul>
-	    <li><span style="color: #f2f293">&#9632;</span> Industry</li>
-	    <li><span style="color: #f30000">&#9632;</span> Academic</li>
-	    <li><span style="color: #3264f6">&#9632;</span> Government</li>
-	  </ul>
-	</div>
-	 -->
+
 	<p>
-		To help understand how 50 People One Question Dataset has been used around the world for commercial, military and academic research; publicly available research citing 50 People One Question is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
+		To help understand how 50 People One Question Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing 50 People One Question was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
 	</p>
  
  </section>
 
 <section class="applet_container fullwidth">
  <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
-
 </section>
 
 <div class="caption">
@@ -72,25 +79,12 @@
 	<li class="edu">Academic</li>
 	<li class="com">Commercial</li>
 	<li class="gov">Military / Government</li>
-	<li class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</li>
 	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
 </div>
 
-<!-- <section>
-	<p class='subp'>
-		[section under development] 50 People One Question Dataset ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.
-	</p>
-</section>
- --><section>
 
-  <div class="hr-wave-holder">
-      <div class="hr-wave-line hr-wave-line1"></div>
-      <div class="hr-wave-line hr-wave-line2"></div>
-  </div>
-
-  <h3>Supplementary Information</h3>
-  
-</section><section class="applet_container">
+<section class="applet_container">
 
   <h3>Dataset Citations</h3>
   <p>
@@ -102,18 +96,17 @@
 
   </div>
   <footer>
-    <div>
-      <a href="/">MegaPixels.cc</a>
-      <a href="/about/disclaimer/">Disclaimer</a>
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-      <a href="/about/">About</a>
-      <a href="/about/team/">Team</a>
-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
+      <li><a href="/datasets/">Datasets</a></li>
+      <li><a href="/about/">About</a></li>
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+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
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 </body>
 
diff --git a/site/public/datasets/afad/index.html b/site/public/datasets/afad/index.html
index ac025a80..7969c1d6 100644
--- a/site/public/datasets/afad/index.html
+++ b/site/public/datasets/afad/index.html
@@ -17,7 +17,7 @@
     <a class='slogan' href="/">
       <div class='logo'></div>
       <div class='site_name'>MegaPixels</div>
-      <div class='splash'>AFAD</div>
+      <div class='splash'>Asian Face Age Dataset</div>
     </a>
     <div class='links'>
       <a href="/datasets/">Datasets</a>
@@ -26,8 +26,75 @@
   </header>
   <div class="content content-">
     
-  <section><h1>Asian Face Age Dataset</h1>
-</section><section><div class='meta'><div><div class='gray'>Years</div><div>2016?</div></div><div><div class='gray'>Images</div><div>164,432</div></div><div><div class='gray'>Identities</div><div>4,362</div></div><div><div class='gray'>Origin</div><div>RenRen</div></div></div><section><section><h2>Research</h2>
+  <section><h2>Asian Face Age Dataset</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
+    <div class='gray'>Published</div>
+    <div>2017</div>
+  </div><div class='meta'>
+    <div class='gray'>Images</div>
+    <div>164,432 </div>
+  </div><div class='meta'>
+    <div class='gray'>Purpose</div>
+    <div>age estimation on Asian Faces</div>
+  </div><div class='meta'>
+    <div class='gray'>Funded by</div>
+    <div>NSFC, the Fundamental Research Funds for the Central Universities, the Program for Changjiang Scholars and Innovative Research Team in University of China, the Shaanxi Innovative Research Team for Key Science and Technology, and China Postdoctoral Science Foundation</div>
+  </div><div class='meta'>
+    <div class='gray'>Website</div>
+    <div><a href='https://afad-dataset.github.io/' target='_blank' rel='nofollow noopener'>github.io</a></div>
+  </div></div><p>[ page under development ]</p>
+</section><section>
+  <h3>Who used Asian Face Age Dataset?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
+	
+	<h3>Biometric Trade Routes</h3>
+
+	<p>
+		To help understand how Asian Face Age Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing The Asian Face Age Dataset was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
+	</p>
+ 
+ </section>
+
+<section class="applet_container fullwidth">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
+</section>
+
+<div class="caption">
+	<ul class="map-legend">
+	<li class="edu">Academic</li>
+	<li class="com">Commercial</li>
+	<li class="gov">Military / Government</li>
+	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
+</div>
+
+
+<section class="applet_container">
+
+  <h3>Dataset Citations</h3>
+  <p>
+    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
+  </p>
+
+  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
+</section><section><h2>(ignore) research notes</h2>
 <blockquote><p>The Asian Face Age Dataset (AFAD) is a new dataset proposed for evaluating the performance of age estimation, which contains more than 160K facial images and the corresponding age and gender labels. This dataset is oriented to age estimation on Asian faces, so all the facial images are for Asian faces. It is noted that the AFAD is the biggest dataset for age estimation to date. It is well suited to evaluate how deep learning methods can be adopted for age estimation.
 Motivation</p>
 <p>For age estimation, there are several public datasets for evaluating the performance of a specific algorithm, such as FG-NET [1] (1002 face images), MORPH I (1690 face images), and MORPH II[2] (55,608 face images). Among them, the MORPH II is the biggest public dataset to date. On the other hand, as we know it is necessary to collect a large scale dataset to train a deep Convolutional Neural Network. Therefore, the MORPH II dataset is extensively used to evaluate how deep learning methods can be adopted for age estimation [3][4].</p>
@@ -42,18 +109,17 @@ Motivation</p>
 
   </div>
   <footer>
-    <div>
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-      <a href="/about/team/">Team</a>
-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
+      <li><a href="/datasets/">Datasets</a></li>
+      <li><a href="/about/">About</a></li>
+      <li><a href="/about/press/">Press</a></li>
+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
   </footer>
 </body>
 
diff --git a/site/public/datasets/aflw/index.html b/site/public/datasets/aflw/index.html
deleted file mode 100644
index 476f390c..00000000
--- a/site/public/datasets/aflw/index.html
+++ /dev/null
@@ -1,54 +0,0 @@
-<!doctype html>
-<html>
-<head>
-  <title>MegaPixels</title>
-  <meta charset="utf-8" />
-  <meta name="author" content="Adam Harvey" />
-  <meta name="description" content="AFLW: Annotated Facial Landmarks in The Wild" />
-  <meta name="referrer" content="no-referrer" />
-  <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
-  <link rel='stylesheet' href='/assets/css/fonts.css' />
-  <link rel='stylesheet' href='/assets/css/css.css' />
-  <link rel='stylesheet' href='/assets/css/leaflet.css' />
-  <link rel='stylesheet' href='/assets/css/applets.css' />
-</head>
-<body>
-  <header>
-    <a class='slogan' href="/">
-      <div class='logo'></div>
-      <div class='site_name'>MegaPixels</div>
-      
-    </a>
-    <div class='links'>
-      <a href="/datasets/">Datasets</a>
-      <a href="/about/">About</a>
-    </div>
-  </header>
-  <div class="content content-">
-    
-  <section><h1>Annotated Facial Landmarks in The Wild</h1>
-</section><section><div class='meta'><div><div class='gray'>Years</div><div>1993-1996</div></div><div><div class='gray'>Images</div><div>25,993</div></div><div><div class='gray'>Identities</div><div>1,199 </div></div><div><div class='gray'>Origin</div><div>Flickr</div></div></div><section><section><!--header--></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/aflw/aflw_index.gif' alt=''></div></section><section><p>RESEARCH below this line</p>
-<blockquote><p>The motivation for the AFLW database is the need for a large-scale, multi-view, real-world face database with annotated facial features. We gathered the images on Flickr using a wide range of face relevant tags (e.g., face, mugshot, profile face). The downloaded set of images was manually scanned for images containing faces. The key data and most important properties of the database are:</p>
-</blockquote>
-<p><a href="https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/aflw/">https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/aflw/</a></p>
-</section>
-
-  </div>
-  <footer>
-    <div>
-      <a href="/">MegaPixels.cc</a>
-      <a href="/about/disclaimer/">Disclaimer</a>
-      <a href="/about/terms/">Terms of Use</a>
-      <a href="/about/privacy/">Privacy</a>
-      <a href="/about/">About</a>
-      <a href="/about/team/">Team</a>
-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
-  </footer>
-</body>
-
-<script src="/assets/js/dist/index.js"></script>
-</html>
\ No newline at end of file
diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html
index ec5ee434..0f782924 100644
--- a/site/public/datasets/brainwash/index.html
+++ b/site/public/datasets/brainwash/index.html
@@ -17,7 +17,7 @@
     <a class='slogan' href="/">
       <div class='logo'></div>
       <div class='site_name'>MegaPixels</div>
-      <div class='splash'>Brainwash</div>
+      <div class='splash'>Brainwash Dataset</div>
     </a>
     <div class='links'>
       <a href="/datasets/">Datasets</a>
@@ -27,7 +27,8 @@
   <div class="content content-dataset">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'>Brainwash is a dataset of webcam images taken from the Brainwash Cafe in San Francisco in 2014</span></div><div class='hero_subdesc'><span class='bgpad'>The Brainwash dataset includes 11,918 images of "everyday life of a busy downtown cafe" and is used for training head detection surveillance algorithms
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'>
+</span></div></div></section><section><h2>Brainwash Dataset</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
     <div class='gray'>Published</div>
     <div>2015</div>
   </div><div class='meta'>
@@ -48,11 +49,10 @@
   </div><div class='meta'>
     <div class='gray'>Website</div>
     <div><a href='https://purl.stanford.edu/sx925dc9385' target='_blank' rel='nofollow noopener'>stanford.edu</a></div>
-  </div></div><h2>Brainwash Dataset</h2>
-<p><em>Brainwash</em> is a head detection dataset created from San Francisco's Brainwash Cafe livecam footage. It includes 11,918 images of "everyday life of a busy downtown cafe"<a class="footnote_shim" name="[^readme]_1"> </a><a href="#[^readme]" class="footnote" title="Footnote 1">1</a> captured at 100 second intervals throught the entire day. Brainwash dataset was captured during 3 days in 2014: October 27, November 13, and November 24. According the author's reserach paper introducing the dataset, the images were acquired with the help of Angelcam.com [cite orig paper].</p>
-<p>Brainwash is not a widely used dataset but since its publication by Stanford University in 2015, it has notably appeared in several research papers from the National University of Defense Technology in Changsha, China. In 2016 and in 2017 researchers there conducted studies on detecting people's heads in crowded scenes for the purpose of surveillance <a class="footnote_shim" name="[^localized_region_context]_1"> </a><a href="#[^localized_region_context]" class="footnote" title="Footnote 2">2</a> <a class="footnote_shim" name="[^replacement_algorithm]_1"> </a><a href="#[^replacement_algorithm]" class="footnote" title="Footnote 3">3</a>.</p>
-<p>If you happen to have been at Brainwash cafe in San Franscisco at any time on October 26, November 13, or November 24 in 2014 you are most likely included in the Brainwash dataset.</p>
-</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/brainwash_mean_overlay.jpg' alt=' The pixel-averaged image of all Brainwash dataset images is shown with 81,973 head annotations drawn from the Brainwash training partition. (c) Adam Harvey'><div class='caption'> The pixel-averaged image of all Brainwash dataset images is shown with 81,973 head annotations drawn from the Brainwash training partition. (c) Adam Harvey</div></div></section><section>
+  </div></div><p>Brainwash is a dataset of livecam images taken from San Francisco's Brainwash Cafe. It includes 11,918 images of "everyday life of a busy downtown cafe"<a class="footnote_shim" name="[^readme]_1"> </a><a href="#[^readme]" class="footnote" title="Footnote 1">1</a> captured at 100 second intervals throught the entire day. The Brainwash dataset includes 3 full days of webcam images taken on October 27, November 13, and November 24 in 2014. According the author's <a href="https://www.semanticscholar.org/paper/End-to-End-People-Detection-in-Crowded-Scenes-Stewart-Andriluka/1bd1645a629f1b612960ab9bba276afd4cf7c666">reserach paper</a> introducing the dataset, the images were acquired with the help of Angelcam.com<a class="footnote_shim" name="[^end_to_end]_1"> </a><a href="#[^end_to_end]" class="footnote" title="Footnote 2">2</a></p>
+<p>The Brainwash dataset is unique because it uses images from a publicly available webcam that records people inside a privately owned business without any consent. No ordinary cafe custom could ever suspect there image would end up in dataset used for surveillance reserach and development, but that is exactly what happened to customers at Brainwash cafe in San Francisco.</p>
+<p>Although Brainwash appears to be a less popular dataset, it was used in 2016 and 2017 by researchers from the National University of Defense Technology in China took note of the dataset and used it for two <a href="https://www.semanticscholar.org/paper/Localized-region-context-and-object-feature-fusion-Li-Dou/b02d31c640b0a31fb18c4f170d841d8e21ffb66c">research</a> <a href="https://www.semanticscholar.org/paper/A-Replacement-Algorithm-of-Non-Maximum-Suppression-Zhao-Wang/591a4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b">projects</a> on advancing the capabilities of object detection to more accurately isolate the target region in an image (<a href="https://www.itm-conferences.org/articles/itmconf/pdf/2017/04/itmconf_ita2017_05006.pdf">PDF</a>). <a class="footnote_shim" name="[^localized_region_context]_1"> </a><a href="#[^localized_region_context]" class="footnote" title="Footnote 3">3</a> <a class="footnote_shim" name="[^replacement_algorithm]_1"> </a><a href="#[^replacement_algorithm]" class="footnote" title="Footnote 4">4</a>. The dataset also appears in a 2017 <a href="https://ieeexplore.ieee.org/document/7877809">research paper</a> from Peking University for the purpose of improving surveillance capabilities for "people detection in the crowded scenes".</p>
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/brainwash_grid.jpg' alt=' A visualization of 81,973 head annotations from the Brainwash dataset training partition. &copy; megapixels.cc'><div class='caption'> A visualization of 81,973 head annotations from the Brainwash dataset training partition. &copy; megapixels.cc</div></div></section><section>
   <h3>Who used Brainwash Dataset?</h3>
 
   <p>
@@ -65,30 +65,24 @@
 <!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
 </div> -->
  <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
-</section><section class="applet_container">
+</section>
+
+<section class="applet_container">
  <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
-</section><section>
+</section>
+
+<section>
 	
 	<h3>Biometric Trade Routes</h3>
-<!-- 
-	<div class="map-sidebar right-sidebar">
-	  <h3>Legend</h3>
-	  <ul>
-	    <li><span style="color: #f2f293">&#9632;</span> Industry</li>
-	    <li><span style="color: #f30000">&#9632;</span> Academic</li>
-	    <li><span style="color: #3264f6">&#9632;</span> Government</li>
-	  </ul>
-	</div>
-	 -->
+
 	<p>
-		To help understand how Brainwash Dataset has been used around the world for commercial, military and academic research; publicly available research citing Brainwash Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
+		To help understand how Brainwash Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Brainwash Dataset was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
 	</p>
  
  </section>
 
 <section class="applet_container fullwidth">
  <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
-
 </section>
 
 <div class="caption">
@@ -96,16 +90,12 @@
 	<li class="edu">Academic</li>
 	<li class="com">Commercial</li>
 	<li class="gov">Military / Government</li>
-	<li class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</li>
 	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
 </div>
 
-<!-- <section>
-	<p class='subp'>
-		[section under development] Brainwash Dataset ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.
-	</p>
-</section>
- --><section class="applet_container">
+
+<section class="applet_container">
 
   <h3>Dataset Citations</h3>
   <p>
@@ -120,38 +110,44 @@
       <div class="hr-wave-line hr-wave-line2"></div>
   </div>
 
-  <h3>Supplementary Information</h3>
+  <h2>Supplementary Information</h2>
   
-</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/00425000_960.jpg' alt=' An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)'><div class='caption'> An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)</div></div></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/brainwash_montage.jpg' alt=' 49 of the 11,918 images included in the Brainwash dataset. License: Open Data Commons Public Domain Dedication (PDDL)'><div class='caption'> 49 of the 11,918 images included in the Brainwash dataset. License: Open Data Commons Public Domain Dedication (PDDL)</div></div></section><section><h4>Additional Resources</h4>
-<ul>
-<li>The dataset author spoke about his research at the CVPR conference in 2016 <a href="https://www.youtube.com/watch?v=Nl2fBKxwusQ">https://www.youtube.com/watch?v=Nl2fBKxwusQ</a></li>
-</ul>
-<p>TODO</p>
-<ul>
-<li>add bounding boxes to the header image</li>
-<li>remake montage with randomized images, with bboxes</li>
-<li>clean up intro text</li>
-<li>verify quote citations</li>
-</ul>
-</section><section><ul class="footnotes"><li><a name="[^readme]" class="footnote_shim"></a><span class="backlinks"><a href="#[^readme]_1">a</a></span><p>"readme.txt" <a href="https://exhibits.stanford.edu/data/catalog/sx925dc9385">https://exhibits.stanford.edu/data/catalog/sx925dc9385</a>.</p>
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/brainwash_example.jpg' alt=' An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)'><div class='caption'> An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)</div></div></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/brainwash_saliency_map.jpg' alt=' A visualization of 81,973 head annotations from the Brainwash dataset training partition. &copy; megapixels.cc'><div class='caption'> A visualization of 81,973 head annotations from the Brainwash dataset training partition. &copy; megapixels.cc</div></div></section><section>
+
+  <h4>Cite Our Work</h4>
+  <p>
+  	
+  	If you use our data, research, or graphics please cite our work:
+
+<pre id="cite-bibtex">
+@online{megapixels,
+  author = {Harvey, Adam. LaPlace, Jules.},
+  title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
+  year = 2019,
+  url = {https://megapixels.cc/},
+  urldate = {2019-04-18}
+}</pre>
+
+	</p>
+</section><section><h3>References</h3><section><ul class="footnotes"><li><a name="[^readme]" class="footnote_shim"></a><span class="backlinks"><a href="#[^readme]_1">a</a></span><p>"readme.txt" <a href="https://exhibits.stanford.edu/data/catalog/sx925dc9385">https://exhibits.stanford.edu/data/catalog/sx925dc9385</a>.</p>
+</li><li><a name="[^end_to_end]" class="footnote_shim"></a><span class="backlinks"><a href="#[^end_to_end]_1">a</a></span><p>Stewart, Russel. Andriluka, Mykhaylo. "End-to-end people detection in crowded scenes". 2016.</p>
 </li><li><a name="[^localized_region_context]" class="footnote_shim"></a><span class="backlinks"><a href="#[^localized_region_context]_1">a</a></span><p>Li, Y. and Dou, Y. and Liu, X. and Li, T. Localized Region Context and Object Feature Fusion for People Head Detection. ICIP16 Proceedings. 2016. Pages 594-598.</p>
 </li><li><a name="[^replacement_algorithm]" class="footnote_shim"></a><span class="backlinks"><a href="#[^replacement_algorithm]_1">a</a></span><p>Zhao. X, Wang Y, Dou, Y. A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering.</p>
-</li></ul></section>
+</li></ul></section></section>
 
   </div>
   <footer>
-    <div>
-      <a href="/">MegaPixels.cc</a>
-      <a href="/about/disclaimer/">Disclaimer</a>
-      <a href="/about/terms/">Terms of Use</a>
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-      <a href="/about/">About</a>
-      <a href="/about/team/">Team</a>
-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
+      <li><a href="/datasets/">Datasets</a></li>
+      <li><a href="/about/">About</a></li>
+      <li><a href="/about/press/">Press</a></li>
+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
   </footer>
 </body>
 
diff --git a/site/public/datasets/caltech_10k/index.html b/site/public/datasets/caltech_10k/index.html
index 9aa0b2c3..abb55148 100644
--- a/site/public/datasets/caltech_10k/index.html
+++ b/site/public/datasets/caltech_10k/index.html
@@ -17,7 +17,7 @@
     <a class='slogan' href="/">
       <div class='logo'></div>
       <div class='site_name'>MegaPixels</div>
-      
+      <div class='splash'>Brainwash Dataset</div>
     </a>
     <div class='links'>
       <a href="/datasets/">Datasets</a>
@@ -26,23 +26,97 @@
   </header>
   <div class="content content-">
     
-  <section><h1>Caltech 10K Faces Dataset</h1>
-</section><section><div class='meta'><div><div class='gray'>Years</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Identities</div><div>TBD</div></div><div><div class='gray'>Origin</div><div>Google Search</div></div><div><div class='gray'>Funding</div><div>TBD</div></div></div><section>
+  <section><h2>Caltech 10K Faces Dataset</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
+    <div class='gray'>Published</div>
+    <div>2015</div>
+  </div><div class='meta'>
+    <div class='gray'>Images</div>
+    <div>11,917 </div>
+  </div><div class='meta'>
+    <div class='gray'>Purpose</div>
+    <div>Head detection</div>
+  </div><div class='meta'>
+    <div class='gray'>Created by</div>
+    <div>Stanford University (US), Max Planck Institute for Informatics (DE)</div>
+  </div><div class='meta'>
+    <div class='gray'>Funded by</div>
+    <div>Max Planck Center for Visual Computing and Communication</div>
+  </div><div class='meta'>
+    <div class='gray'>Download Size</div>
+    <div>4.1 GB</div>
+  </div><div class='meta'>
+    <div class='gray'>Website</div>
+    <div><a href='https://purl.stanford.edu/sx925dc9385' target='_blank' rel='nofollow noopener'>stanford.edu</a></div>
+  </div></div><p>[ page under development ]</p>
+</section><section>
+  <h3>Who used Brainwash Dataset?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
+	
+	<h3>Biometric Trade Routes</h3>
+
+	<p>
+		To help understand how Brainwash Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Brainwash Dataset was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
+	</p>
+ 
+ </section>
+
+<section class="applet_container fullwidth">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
+</section>
+
+<div class="caption">
+	<ul class="map-legend">
+	<li class="edu">Academic</li>
+	<li class="com">Commercial</li>
+	<li class="gov">Military / Government</li>
+	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
+</div>
+
+
+<section class="applet_container">
+
+  <h3>Dataset Citations</h3>
+  <p>
+    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
+  </p>
+
+  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
+</section><section><h3>(ignore) research notes</h3>
+<p>The dataset contains images of people collected from the web by typing common given names into  Google Image Search. The coordinates of the eyes, the nose and the center of the mouth for each frontal face are provided in a ground truth file. This information can be used to align and crop the human faces or as a ground truth for a face detection algorithm. The dataset has 10,524 human faces of various resolutions and in different settings, e.g. portrait images, groups of people, etc. Profile faces or very low resolution faces are not labeled.</p>
+</section>
 
   </div>
   <footer>
-    <div>
-      <a href="/">MegaPixels.cc</a>
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-      <a href="/about/terms/">Terms of Use</a>
-      <a href="/about/privacy/">Privacy</a>
-      <a href="/about/">About</a>
-      <a href="/about/team/">Team</a>
-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
+      <li><a href="/datasets/">Datasets</a></li>
+      <li><a href="/about/">About</a></li>
+      <li><a href="/about/press/">Press</a></li>
+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
   </footer>
 </body>
 
diff --git a/site/public/datasets/celeba/index.html b/site/public/datasets/celeba/index.html
index 26a43803..a4a7efa2 100644
--- a/site/public/datasets/celeba/index.html
+++ b/site/public/datasets/celeba/index.html
@@ -17,7 +17,7 @@
     <a class='slogan' href="/">
       <div class='logo'></div>
       <div class='site_name'>MegaPixels</div>
-      <div class='splash'>CelebA</div>
+      <div class='splash'>CelebA Dataset</div>
     </a>
     <div class='links'>
       <a href="/datasets/">Datasets</a>
@@ -27,7 +27,8 @@
   <div class="content content-dataset">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/celeba/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span style="color:#ffaa00">CelebA</span> is a dataset of people...</span></div><div class='hero_subdesc'><span class='bgpad'>CelebA includes...
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'>
+</span></div></div></section><section><h2>CelebA Dataset</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
     <div class='gray'>Published</div>
     <div>2015</div>
   </div><div class='meta'>
@@ -45,32 +46,38 @@
   </div><div class='meta'>
     <div class='gray'>Website</div>
     <div><a href='http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html' target='_blank' rel='nofollow noopener'>edu.hk</a></div>
-  </div><div class='meta'><div><div class='gray'>Collected</div><div>TBD</div></div><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div></div></div><h2>CelebA</h2>
-<p>(PAGE UNDER DEVELOPMENT)</p>
-<p>At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio.</p>
-<p>Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat</p>
+  </div></div><p>[ PAGE UNDER DEVELOPMENT ]</p>
 </section><section>
+  <h3>Who used CelebA Dataset?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
 	
 	<h3>Biometric Trade Routes</h3>
-<!-- 
-	<div class="map-sidebar right-sidebar">
-	  <h3>Legend</h3>
-	  <ul>
-	    <li><span style="color: #f2f293">&#9632;</span> Industry</li>
-	    <li><span style="color: #f30000">&#9632;</span> Academic</li>
-	    <li><span style="color: #3264f6">&#9632;</span> Government</li>
-	  </ul>
-	</div>
-	 -->
+
 	<p>
-		To help understand how CelebA Dataset has been used around the world for commercial, military and academic research; publicly available research citing Large-scale CelebFaces Attributes Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
+		To help understand how CelebA Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Large-scale CelebFaces Attributes Dataset was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
 	</p>
  
  </section>
 
 <section class="applet_container fullwidth">
  <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
-
 </section>
 
 <div class="caption">
@@ -78,25 +85,12 @@
 	<li class="edu">Academic</li>
 	<li class="com">Commercial</li>
 	<li class="gov">Military / Government</li>
-	<li class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</li>
 	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
 </div>
 
-<!-- <section>
-	<p class='subp'>
-		[section under development] CelebA Dataset ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.
-	</p>
-</section>
- --><section>
 
-  <div class="hr-wave-holder">
-      <div class="hr-wave-line hr-wave-line1"></div>
-      <div class="hr-wave-line hr-wave-line2"></div>
-  </div>
-
-  <h3>Supplementary Information</h3>
-  
-</section><section class="applet_container">
+<section class="applet_container">
 
   <h3>Dataset Citations</h3>
   <p>
@@ -114,18 +108,17 @@
 
   </div>
   <footer>
-    <div>
-      <a href="/">MegaPixels.cc</a>
-      <a href="/about/disclaimer/">Disclaimer</a>
-      <a href="/about/terms/">Terms of Use</a>
-      <a href="/about/privacy/">Privacy</a>
-      <a href="/about/">About</a>
-      <a href="/about/team/">Team</a>
-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
+      <li><a href="/datasets/">Datasets</a></li>
+      <li><a href="/about/">About</a></li>
+      <li><a href="/about/press/">Press</a></li>
+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
   </footer>
 </body>
 
diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html
index 8925d4b8..c6d7417e 100644
--- a/site/public/datasets/cofw/index.html
+++ b/site/public/datasets/cofw/index.html
@@ -17,7 +17,7 @@
     <a class='slogan' href="/">
       <div class='logo'></div>
       <div class='site_name'>MegaPixels</div>
-      <div class='splash'>COFW</div>
+      <div class='splash'>COFW Dataset</div>
     </a>
     <div class='links'>
       <a href="/datasets/">Datasets</a>
@@ -26,7 +26,8 @@
   </header>
   <div class="content content-">
     
-  <section><div class='left-sidebar'><div class='meta'>
+  <section><h2>Caltech Occluded Faces in the Wild</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
     <div class='gray'>Published</div>
     <div>2013</div>
   </div><div class='meta'>
@@ -38,10 +39,60 @@
   </div><div class='meta'>
     <div class='gray'>Website</div>
     <div><a href='http://www.vision.caltech.edu/xpburgos/ICCV13/' target='_blank' rel='nofollow noopener'>caltech.edu</a></div>
-  </div><div class='meta'><div><div class='gray'>Years</div><div>1993-1996</div></div><div><div class='gray'>Images</div><div>14,126</div></div><div><div class='gray'>Identities</div><div>1,199 </div></div><div><div class='gray'>Origin</div><div>Web Searches</div></div><div><div class='gray'>Funded by</div><div>ODNI, IARPA, Microsoft</div></div></div></div><h2>Caltech Occluded Faces in the Wild</h2>
-<p>(PAGE UNDER DEVELOPMENT)</p>
-<p>COFW is "is designed to benchmark face landmark algorithms in realistic conditions, which include heavy occlusions and large shape variations" [Robust face landmark estimation under occlusion].</p>
-<p>RESEARCH below this line</p>
+  </div></div><p>[ PAGE UNDER DEVELOPMENT ]</p>
+</section><section>
+  <h3>Who used COFW Dataset?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
+	
+	<h3>Biometric Trade Routes</h3>
+
+	<p>
+		To help understand how COFW Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Caltech Occluded Faces in the Wild was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
+	</p>
+ 
+ </section>
+
+<section class="applet_container fullwidth">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
+</section>
+
+<div class="caption">
+	<ul class="map-legend">
+	<li class="edu">Academic</li>
+	<li class="com">Commercial</li>
+	<li class="gov">Military / Government</li>
+	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
+</div>
+
+
+<section class="applet_container">
+
+  <h3>Dataset Citations</h3>
+  <p>
+    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
+  </p>
+
+  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
+</section><section><h3>(ignore) research notes</h3>
+</section><section><div class='meta'><div><div class='gray'>Years</div><div>1993-1996</div></div><div><div class='gray'>Images</div><div>14,126</div></div><div><div class='gray'>Identities</div><div>1,199 </div></div><div><div class='gray'>Origin</div><div>Web Searches</div></div><div><div class='gray'>Funded by</div><div>ODNI, IARPA, Microsoft</div></div></div><section><section><p>COFW is "is designed to benchmark face landmark algorithms in realistic conditions, which include heavy occlusions and large shape variations" [Robust face landmark estimation under occlusion].</p>
 <blockquote><p>We asked four people with different levels of computer vision knowledge to each collect 250 faces representative of typical real-world images, with the clear goal of challenging computer vision methods.
 The result is 1,007 images of faces obtained from a variety of sources.</p>
 </blockquote>
@@ -56,25 +107,15 @@ To increase the number of training images, and since  COFW has the exact same la
 </section><section>
 	
 	<h3>Biometric Trade Routes</h3>
-<!-- 
-	<div class="map-sidebar right-sidebar">
-	  <h3>Legend</h3>
-	  <ul>
-	    <li><span style="color: #f2f293">&#9632;</span> Industry</li>
-	    <li><span style="color: #f30000">&#9632;</span> Academic</li>
-	    <li><span style="color: #3264f6">&#9632;</span> Government</li>
-	  </ul>
-	</div>
-	 -->
+
 	<p>
-		To help understand how COFW Dataset has been used around the world for commercial, military and academic research; publicly available research citing Caltech Occluded Faces in the Wild is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
+		To help understand how COFW Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Caltech Occluded Faces in the Wild was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the location markers to reveal research projects at that location.
 	</p>
  
  </section>
 
 <section class="applet_container fullwidth">
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-
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@@ -82,23 +123,16 @@ To increase the number of training images, and since  COFW has the exact same la
 	<li class="edu">Academic</li>
 	<li class="com">Commercial</li>
 	<li class="gov">Military / Government</li>
-	<li class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</li>
 	</ul>
-</div>
-
-<!-- <section>
-	<p class='subp'>
-		[section under development] COFW Dataset ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.
-	</p>
-</section>
- --><section>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> and then dataset usage verified and geolocated.</div >
+</div><section>
 
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-  <h3>Supplementary Information</h3>
+  <h2>Supplementary Information</h2>
   
 </section><section class="applet_container">
 
@@ -127,18 +161,17 @@ To increase the number of training images, and since  COFW has the exact same la
 
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diff --git a/site/public/datasets/duke_mtmc/index.html b/site/public/datasets/duke_mtmc/index.html
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+++ b/site/public/datasets/duke_mtmc/index.html
@@ -17,7 +17,7 @@
     <a class='slogan' href="/">
       <div class='logo'></div>
       <div class='site_name'>MegaPixels</div>
-      <div class='splash'>Duke MTMC</div>
+      <div class='splash'>Duke MTMC Dataset</div>
     </a>
     <div class='links'>
       <a href="/datasets/">Datasets</a>
@@ -26,8 +26,9 @@
   </header>
   <div class="content content-dataset">
     
-  <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/duke_mtmc/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">Duke MTMC</span> is a dataset of surveillance camera footage of students on Duke University campus</span></div><div class='hero_subdesc'><span class='bgpad'>Duke MTMC contains over 2 million video frames and 2,000 unique identities collected from 8 HD cameras at Duke University campus in March 2014
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'>
+  <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/duke_mtmc/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">Duke MTMC</span> is a dataset of surveillance camera footage of students on Duke University campus</span></div><div class='hero_subdesc'><span class='bgpad'>Duke MTMC contains over 2 million video frames and 2,700 unique identities collected from 8 HD cameras at Duke University campus in March 2014
+</span></div></div></section><section><h2>Duke MTMC</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
     <div class='gray'>Published</div>
     <div>2016</div>
   </div><div class='meta'>
@@ -35,45 +36,210 @@
     <div>2,000,000 </div>
   </div><div class='meta'>
     <div class='gray'>Identities</div>
-    <div>1,812 </div>
+    <div>2,700 </div>
   </div><div class='meta'>
     <div class='gray'>Purpose</div>
-    <div>Person re-identification and multi-camera tracking</div>
+    <div>Person re-identification, multi-camera tracking</div>
   </div><div class='meta'>
     <div class='gray'>Created by</div>
     <div>Computer Science Department, Duke University, Durham, US</div>
   </div><div class='meta'>
     <div class='gray'>Website</div>
     <div><a href='http://vision.cs.duke.edu/DukeMTMC/' target='_blank' rel='nofollow noopener'>duke.edu</a></div>
-  </div><div class='meta'><div><div class='gray'>Created</div><div>2014</div></div><div><div class='gray'>Identities</div><div>Over 2,700</div></div><div><div class='gray'>Used for</div><div>Face recognition, person re-identification</div></div><div><div class='gray'>Created by</div><div>Computer Science Department, Duke University, Durham, US</div></div><div><div class='gray'>Website</div><div><a href="http://vision.cs.duke.edu/DukeMTMC/">duke.edu</a></div></div></div></div><h2>Duke Multi-Target, Multi-Camera Tracking Dataset (Duke MTMC)</h2>
-<p>[ PAGE UNDER DEVELOPMENT ]</p>
-<p>Duke MTMC is a dataset of video recorded on Duke University campus during for the purpose of training, evaluating, and improving <em>multi-target multi-camera tracking</em>. The videos were recorded during February and March 2014 and cinclude</p>
-<p>Includes a total of 888.8 minutes of video (ind. verified)</p>
-<p>"We make available a new data set that has more than 2 million frames and more than 2,700 identities. It consists of 8×85 minutes of 1080p video recorded at 60 frames per second from 8 static cameras deployed on the Duke University campus during periods between lectures, when pedestrian traffic is heavy."</p>
-<p>The dataset includes approximately 2,000 annotated identities appearing in 85 hours of video from 8 cameras located throughout Duke University's campus.</p>
-</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/duke_mtmc/assets/duke_mtmc_cam5_average_comp.jpg' alt=' Duke MTMC pixel-averaged image of camera #5 is shown with the bounding boxes for each student drawn in white. (c) Adam Harvey'><div class='caption'> Duke MTMC pixel-averaged image of camera #5 is shown with the bounding boxes for each student drawn in white. (c) Adam Harvey</div></div></section><section><p>According to the dataset authors,</p>
-</section><section>
+  </div></div><p>Duke MTMC (Multi-Target, Multi-Camera) is a dataset of surveillance video footage taken on Duke University's campus in 2014 and is used for research and development of video tracking systems, person re-identification, and low-resolution facial recognition. The dataset contains over 14 hours of synchronized surveillance video from 8 cameras at 1080p and 60FPS with over 2 million frames of 2,000 students walking to and from classes. The 8 surveillance cameras deployed on campus were specifically setup to capture students "during periods between lectures, when pedestrian traffic is heavy"<a class="footnote_shim" name="[^duke_mtmc_orig]_1"> </a><a href="#[^duke_mtmc_orig]" class="footnote" title="Footnote 1">1</a>.</p>
+<p>In this investigation into the Duke MTMC dataset we tracked down over 100 publicly available research papers that explicitly acknowledged using Duke MTMC. Our analysis shows that the dataset has spread far beyond its origins and intentions in academic research projects at Duke University. Since its publication in 2016, more than twice as many research citations originated in China as in the United States. Among these citations were papers with explicit and direct links to the Chinese military and several of the companies known to provide Chinese authorities with the oppressive surveillance technology used to monitor millions of Uighur Muslims.</p>
+<<<<<<< HEAD
+<p>In one 2018 <a href="http://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Attention-Aware_Compositional_Network_CVPR_2018_paper.pdf">paper</a> jointly published by researchers from SenseNets and SenseTime (and funded by SenseTime Group Limited) entitled <a href="https://www.semanticscholar.org/paper/Attention-Aware-Compositional-Network-for-Person-Xu-Zhao/14ce502bc19b225466126b256511f9c05cadcb6e">Attention-Aware Compositional Network for Person Re-identification</a>, the Duke MTMC dataset was used for "extensive experiments" on improving person re-identification across multiple surveillance cameras with important applications in "finding missing elderly and children, and suspect tracking, etc." Both SenseNets and SenseTime have been directly linked to the providing surveillance technology to monitor Uighur Muslims in China. <a class="footnote_shim" name="[^sensetime_qz]_1"> </a><a href="#[^sensetime_qz]" class="footnote" title="Footnote 2">2</a><a class="footnote_shim" name="[^sensenets_uyghurs]_1"> </a><a href="#[^sensenets_uyghurs]" class="footnote" title="Footnote 3">3</a><a class="footnote_shim" name="[^xinjiang_nyt]_1"> </a><a href="#[^xinjiang_nyt]" class="footnote" title="Footnote 4">4</a></p>
+=======
+<p>In one 2018 <a href="http://openaccess.thecvf.com/content_cvpr_2018/papers/Xu_Attention-Aware_Compositional_Network_CVPR_2018_paper.pdf">paper</a> jointly published by researchers from SenseNets and SenseTime (and funded by SenseTime Group Limited) entitled <a href="https://www.semanticscholar.org/paper/Attention-Aware-Compositional-Network-for-Person-Xu-Zhao/14ce502bc19b225466126b256511f9c05cadcb6e">Attention-Aware Compositional Network for Person Re-identification</a>, the Duke MTMC dataset was used for "extensive experiments" on improving person re-identification across multiple surveillance cameras with important applications in "finding missing elderly and children, and suspect tracking, etc." Both SenseNets and SenseTime have been directly linked to the providing surveillance technology to monitor Uighur Muslims in China. <a class="footnote_shim" name="[^xinjiang_nyt]_1"> </a><a href="#[^xinjiang_nyt]" class="footnote" title="Footnote 1">1</a><a class="footnote_shim" name="[^sensetime_qz]_1"> </a><a href="#[^sensetime_qz]" class="footnote" title="Footnote 2">2</a><a class="footnote_shim" name="[^sensenets_uyghurs]_1"> </a><a href="#[^sensenets_uyghurs]" class="footnote" title="Footnote 3">3</a></p>
+>>>>>>> 61fbcb8f2709236f36a103a73e0bd9d1dd3723e8
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/duke_mtmc/assets/duke_mtmc_reid_montage.jpg' alt=' A collection of 1,600 out of the approximately 2,000 students and pedestrians in the Duke MTMC dataset. These students were also included in the Duke MTMC Re-ID dataset extension used for person re-identification, and eventually the QMUL SurvFace face recognition dataset. Open Data Commons Attribution License.'><div class='caption'> A collection of 1,600 out of the approximately 2,000 students and pedestrians in the Duke MTMC dataset. These students were also included in the Duke MTMC Re-ID dataset extension used for person re-identification, and eventually the QMUL SurvFace face recognition dataset. Open Data Commons Attribution License.</div></div></section><section><p>Despite <a href="https://www.hrw.org/news/2017/11/19/china-police-big-data-systems-violate-privacy-target-dissent">repeated</a> <a href="https://www.hrw.org/news/2018/02/26/china-big-data-fuels-crackdown-minority-region">warnings</a> by Human Rights Watch that the authoritarian surveillance used in China represents a violation of human rights, researchers at Duke University continued to provide open access to their dataset for anyone to use for any project. As the surveillance crisis in China grew, so did the number of citations with links to organizations complicit in the crisis. In 2018 alone there were over 70 research projects happening in China that publicly acknowledged benefiting from the Duke MTMC dataset. Amongst these were projects from SenseNets, SenseTime, CloudWalk, Megvii, Beihang University, and the PLA's National University of Defense Technology.</p>
+<table>
+<thead><tr>
+<th>Organization</th>
+<th>Paper</th>
+<th>Link</th>
+<th>Year</th>
+<th>Used Duke MTMC</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>Beihang University</td>
+<td>Orientation-Guided Similarity Learning for Person Re-identification</td>
+<td><a href="https://ieeexplore.ieee.org/document/8545620">ieee.org</a></td>
+<td>2018</td>
+<td>&#x2714;</td>
+</tr>
+<tr>
+<td>Beihang University</td>
+<td>Online Inter-Camera Trajectory Association Exploiting Person Re-Identification and Camera Topology</td>
+<td><a href="https://dl.acm.org/citation.cfm?id=3240663">acm.org</a></td>
+<td>2018</td>
+<td>&#x2714;</td>
+</tr>
+<tr>
+<td>CloudWalk</td>
+<td>CloudWalk re-identification technology extends facial biometric tracking with improved accuracy</td>
+<td><a href="https://www.biometricupdate.com/201903/cloudwalk-re-identification-technology-extends-facial-biometric-tracking-with-improved-accuracy">BiometricUpdate.com</a></td>
+<td>2019</td>
+<td>&#x2714;</td>
+</tr>
+<tr>
+<td>CloudWalk</td>
+<td>Horizontal Pyramid Matching for Person Re-identification</td>
+<td><a href="https://arxiv.org/pdf/1804.05275.pdf">arxiv.org</a></td>
+<td>2018</td>
+<td>&#x2714;</td>
+</tr>
+<tr>
+<td>Megvii</td>
+<td>Person Re-Identification (slides)</td>
+<td><a href="https://zsc.github.io/megvii-pku-dl-course/slides/Lecture%2011,%20Human%20Understanding_%20ReID%20and%20Pose%20and%20Attributes%20and%20Activity%20.pdf">github.io</a></td>
+<td>2017</td>
+<td>&#x2714;</td>
+</tr>
+<tr>
+<td>Megvii</td>
+<td>Multi-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent Progress on DukeMTMC Project</td>
+<td><a href="https://www.semanticscholar.org/paper/Multi-Target%2C-Multi-Camera-Tracking-by-Hierarchical-Zhang-Wu/10c20cf47d61063032dce4af73a4b8e350bf1128">SemanticScholar</a></td>
+<td>2018</td>
+<td>&#x2714;</td>
+</tr>
+<tr>
+<td>Megvii</td>
+<td>SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial PersonRe-Identification</td>
+<td><a href="https://arxiv.org/abs/1810.06996">arxiv.org</a></td>
+<td>2018</td>
+<td>&#x2714;</td>
+</tr>
+<tr>
+<td>National University of Defense Technology</td>
+<td>Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers</td>
+<td><a href="https://www.semanticscholar.org/paper/Tracking-by-Animation%3A-Unsupervised-Learning-of-He-Liu/e90816e1a0e14ea1e7039e0b2782260999aef786">SemanticScholar.org</a></td>
+<td>2018</td>
+<td>&#x2714;</td>
+</tr>
+<tr>
+<td>National University of Defense Technology</td>
+<td>Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based Recurrent Attention Networks</td>
+<td><a href="https://www.semanticscholar.org/paper/Unsupervised-Multi-Object-Detection-for-Video-Using-He-He/59f357015054bab43fb8cbfd3f3dbf17b1d1f881">SemanticScholar.org</a></td>
+<td>2018</td>
+<td>&#x2714;</td>
+</tr>
+<tr>
+<td>SenseNets, SenseTime</td>
+<td>Attention-Aware Compositional Network for Person Re-identification</td>
+<td><a href="https://www.semanticscholar.org/paper/Attention-Aware-Compositional-Network-for-Person-Xu-Zhao/14ce502bc19b225466126b256511f9c05cadcb6e">SemanticScholar</a></td>
+<td>2018</td>
+<td>&#x2714;</td>
+</tr>
+<tr>
+<td>SenseTime</td>
+<td>End-to-End Deep Kronecker-Product Matching for Person Re-identification</td>
+<td><a href="http://openaccess.thecvf.com/content_cvpr_2018/papers/Shen_End-to-End_Deep_Kronecker-Product_CVPR_2018_paper.pdf">thcvf.com</a></td>
+<td>2018</td>
+<td>&#x2714;</td>
+</tr>
+</tbody>
+</table>
+<p>The reasons that companies in China use the Duke MTMC dataset for research are technically no different than the reasons it is used in the United States and Europe. In fact, the original creators of the dataset published a follow up report in 2017 titled <a href="https://www.semanticscholar.org/paper/Tracking-Social-Groups-Within-and-Across-Cameras-Solera-Calderara/9e644b1e33dd9367be167eb9d832174004840400">Tracking Social Groups Within and Across Cameras</a> with specific applications to "automated analysis of crowds and social gatherings for surveillance and security applications". Their work, as well as the creation of the original dataset in 2014 were both supported in part by the United States Army Research Laboratory.</p>
+<p>Citations from the United States and Europe show a similar trend to that in China, including publicly acknowledged and verified usage of the Duke MTMC dataset supported or carried out by the United States Department of Homeland Security, IARPA, IBM, Microsoft (who provides surveillance to ICE), and Vision Semantics (who works with the UK Ministry of Defence). One <a href="https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf">paper</a> is even jointly published by researchers affiliated with both the University College of London and the National University of Defense Technology in China.</p>
+<table>
+<thead><tr>
+<th>Organization</th>
+<th>Paper</th>
+<th>Link</th>
+<th>Year</th>
+<th>Used Duke MTMC</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>IARPA, IBM</td>
+<td>Horizontal Pyramid Matching for Person Re-identification</td>
+<td><a href="https://arxiv.org/abs/1804.05275">arxiv.org</a></td>
+<td>2018</td>
+<td>&#x2714;</td>
+</tr>
+<tr>
+<td>Microsoft</td>
+<td>ReXCam: Resource-Efficient, Cross-CameraVideo Analytics at Enterprise Scale</td>
+<td><a href="https://arxiv.org/abs/1811.01268">arxiv.org</a></td>
+<td>2018</td>
+<td>&#x2714;</td>
+</tr>
+<tr>
+<td>Microsoft</td>
+<td>Scaling Video Analytics Systems to Large Camera Deployments</td>
+<td><a href="https://arxiv.org/pdf/1809.02318.pdf">arxiv.org</a></td>
+<td>2018</td>
+<td>&#x2714;</td>
+</tr>
+<tr>
+<td>University College of London</td>
+<td>Unsupervised Multi-Object Detection for Video Surveillance Using Memory-Based RecurrentAttention Networks</td>
+<td><a href="https://pdfs.semanticscholar.org/59f3/57015054bab43fb8cbfd3f3dbf17b1d1f881.pdf">SemanticScholar.org</a></td>
+<td>2018</td>
+<td>&#x2714;</td>
+</tr>
+<tr>
+<td>US Dept. of Homeland Security</td>
+<td>Re-Identification with Consistent Attentive Siamese Networks</td>
+<td><a href="https://arxiv.org/abs/1811.07487/">arxiv.org</a></td>
+<td>2019</td>
+<td>&#x2714;</td>
+</tr>
+<tr>
+<td>Vision Semantics Ltd.</td>
+<td>Unsupervised Person Re-identification by Deep Learning Tracklet Association</td>
+<td><a href="https://arxiv.org/abs/1809.02874">arxiv.org</a></td>
+<td>2018</td>
+<td>&#x2714;</td>
+</tr>
+</tbody>
+</table>
+<p>By some metrics the dataset is considered a huge success. It is regarded as highly influential research and has contributed to hundreds, if not thousands, of projects to advance artificial intelligence for person tracking and monitoring. All the above citations, regardless of which country is using it, align perfectly with the original <a href="http://vision.cs.duke.edu/DukeMTMC/">intent</a> of the Duke MTMC dataset: "to accelerate advances in multi-target multi-camera tracking".</p>
+<<<<<<< HEAD
+<p>The same logic applies for all the new extensions of the Duke MTMC dataset including <a href="https://github.com/layumi/DukeMTMC-reID_evaluation">Duke MTMC Re-ID</a>, <a href="https://github.com/Yu-Wu/DukeMTMC-VideoReID">Duke MTMC Video Re-ID</a>, Duke MTMC Groups, and <a href="https://github.com/vana77/DukeMTMC-attribute">Duke MTMC Attribute</a>. And it also applies to all the new specialized datasets that will be created from Duke MTMC, such as the low-resolution face recognition dataset called <a href="https://qmul-survface.github.io/">QMUL-SurvFace</a>, which was funded in part by <a href="https://seequestor.com">SeeQuestor</a>, a computer vision provider to law enforcement agencies including Scotland Yards and Queensland Police. From the perspective of academic researchers, security contractors, and defense agencies using these datasets to advance their organization's work, Duke MTMC provides significant value regardless of who else is using it, so long as it advances their own interests in artificial intelligence.</p>
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/duke_mtmc/assets/duke_mtmc_saliencies.jpg' alt=' Duke MTMC pedestrian detection saliency maps for 8 cameras deployed on campus &copy; megapixels.cc'><div class='caption'> Duke MTMC pedestrian detection saliency maps for 8 cameras deployed on campus &copy; megapixels.cc</div></div></section><section><p>But this perspective comes at significant cost to civil rights, human rights, and privacy. The creation and distribution of the Duke MTMC illustrates an egregious prioritization of surveillance technologies over individual rights, where the simple act of going to class could implicate your biometric data in a surveillance training dataset, perhaps even used by foreign defense agencies against your own ethics, against your own political interests, or against universal human rights.</p>
+<p>For the approximately 2,000 students in Duke MTMC dataset, there is unfortunately no escape. It would be impossible to remove oneself from all copies of the dataset downloaded around the world. Instead, over 2,000 students and visitors who happened to be walking to class on March 13, 2014 will forever remain in all downloaded copies of the Duke MTMC dataset and all its extensions, contributing to a global supply chain of data that powers governmental and commercial expansion of biometric surveillance technologies.</p>
+=======
+<p>The same logic applies for all the new extensions of the Duke MTMC dataset including <a href="https://github.com/layumi/DukeMTMC-reID_evaluation">Duke MTMC Re-ID</a>, <a href="https://github.com/Yu-Wu/DukeMTMC-VideoReID">Duke MTMC Video Re-ID</a>, Duke MTMC Groups, and <a href="https://github.com/vana77/DukeMTMC-attribute">Duke MTMC Attribute</a>. And it also applies to all the new specialized datasets that will be created from Duke MTMC, such as the low-resolution face recognition dataset called <a href="https://qmul-survface.github.io/">QMUL-SurvFace</a>, which was funded in part by <a href="https://seequestor.com">SeeQuestor</a>, a computer vision provider to law enforcement agencies including Scotland Yards and Queensland Police. From the perspective of academic researchers, security contractors, and defense agencies using these datasets to advance their organization's work, Duke MTMC provides significant value regardless of who else is using it so long as it accelerate advances their own interests in artificial intelligence.</p>
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/duke_mtmc/assets/duke_mtmc_saliencies.jpg' alt=' Duke MTMC pedestrian detection saliency maps for 8 cameras deployed on campus &copy; megapixels.cc'><div class='caption'> Duke MTMC pedestrian detection saliency maps for 8 cameras deployed on campus &copy; megapixels.cc</div></div></section><section><p>But this perspective comes at significant cost to civil rights, human rights, and privacy. The creation and distribution of the Duke MTMC illustrates an egregious prioritization of surveillance technologies over individual rights, where the simple act of going to class could implicate your biometric data in a surveillance training dataset, perhaps even used by foreign defense agencies against your own ethics, against universal human rights, or against your own political interests.</p>
+<p>For the approximately 2,000 students in Duke MTMC dataset there is unfortunately no escape. It would be impossible to remove oneself from all copies of the dataset downloaded around the world. Instead, over 2,000 students and visitors who happened to be walking to class in 2014 will forever remain in all downloaded copies of the Duke MTMC dataset and all its extensions, contributing to a global supply chain of data that powers governmental and commercial expansion of biometric surveillance technologies.</p>
+>>>>>>> 61fbcb8f2709236f36a103a73e0bd9d1dd3723e8
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/duke_mtmc/assets/duke_mtmc_cameras.jpg' alt=' Duke MTMC camera views for 8 cameras deployed on campus &copy; megapixels.cc'><div class='caption'> Duke MTMC camera views for 8 cameras deployed on campus &copy; megapixels.cc</div></div></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/duke_mtmc/assets/duke_mtmc_camera_map.jpg' alt=' Duke MTMC camera locations on Duke University campus. Open Data Commons Attribution License.'><div class='caption'> Duke MTMC camera locations on Duke University campus. Open Data Commons Attribution License.</div></div></section><section>
+  <h3>Who used Duke MTMC Dataset?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
 	
 	<h3>Biometric Trade Routes</h3>
-<!-- 
-	<div class="map-sidebar right-sidebar">
-	  <h3>Legend</h3>
-	  <ul>
-	    <li><span style="color: #f2f293">&#9632;</span> Industry</li>
-	    <li><span style="color: #f30000">&#9632;</span> Academic</li>
-	    <li><span style="color: #3264f6">&#9632;</span> Government</li>
-	  </ul>
-	</div>
-	 -->
+
 	<p>
-		To help understand how Duke MTMC Dataset has been used around the world for commercial, military and academic research; publicly available research citing Duke Multi-Target, Multi-Camera Tracking Project is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
+		To help understand how Duke MTMC Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Duke Multi-Target, Multi-Camera Tracking Project was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
 	</p>
  
  </section>
 
 <section class="applet_container fullwidth">
  <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
-
 </section>
 
 <div class="caption">
@@ -81,30 +247,19 @@
 	<li class="edu">Academic</li>
 	<li class="com">Commercial</li>
 	<li class="gov">Military / Government</li>
-	<li class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</li>
 	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
 </div>
 
-<!-- <section>
-	<p class='subp'>
-		[section under development] Duke MTMC Dataset ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.
-	</p>
-</section>
- --><section>
-  <h3>Who used Duke MTMC Dataset?</h3>
 
+<section class="applet_container">
+
+  <h3>Dataset Citations</h3>
   <p>
-    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
   </p>
- 
- </section>
 
-<section class="applet_container">
-<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
-</div> -->
- <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
-</section><section class="applet_container">
- <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
 </section><section>
 
   <div class="hr-wave-holder">
@@ -112,93 +267,155 @@
       <div class="hr-wave-line hr-wave-line2"></div>
   </div>
 
-  <h3>Supplementary Information</h3>
+  <h2>Supplementary Information</h2>
   
-</section><section class="applet_container">
+</section><section><h4>Video Timestamps</h4>
+<<<<<<< HEAD
+<p>The video timestamps contain the likely, but not yet confirmed, date and times of capture. Because the video timestamps align with the start and stop <a href="http://vision.cs.duke.edu/DukeMTMC/details.html#time-sync">time sync data</a> provided by the researchers, it at least aligns the relative time. The <a href="https://www.wunderground.com/history/daily/KIGX/date/2014-3-19?req_city=Durham&amp;req_state=NC&amp;req_statename=North%20Carolina&amp;reqdb.zip=27708&amp;reqdb.magic=1&amp;reqdb.wmo=99999">rainy weather</a> on that day also contributes towards the likelihood of March 14, 2014.</p>
+=======
+<p>The video timestamps contain the likely, but not yet confirmed, date and times the video recorded. Because the video timestamps align with the start and stop <a href="http://vision.cs.duke.edu/DukeMTMC/details.html#time-sync">time sync data</a> provided by the researchers, it at least confirms the relative timing. The <a href="https://www.wunderground.com/history/daily/KIGX/date/2014-3-19?req_city=Durham&amp;req_state=NC&amp;req_statename=North%20Carolina&amp;reqdb.zip=27708&amp;reqdb.magic=1&amp;reqdb.wmo=99999">precipitous weather</a> on March 14, 2014 in Durham, North Carolina supports, but does not confirm, that this day is a potential capture date.</p>
+>>>>>>> 61fbcb8f2709236f36a103a73e0bd9d1dd3723e8
+</section><section><div class='columns columns-2'><div class='column'><table>
+<thead><tr>
+<th>Camera</th>
+<th>Date</th>
+<th>Start</th>
+<th>End</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>Camera 1</td>
+<td>March 14, 2014</td>
+<td>4:14PM</td>
+<td>5:43PM</td>
+</tr>
+<tr>
+<td>Camera 2</td>
+<td>March 14, 2014</td>
+<td>4:13PM</td>
+<td>4:43PM</td>
+</tr>
+<tr>
+<td>Camera 3</td>
+<td>March 14, 2014</td>
+<td>4:20PM</td>
+<td>5:48PM</td>
+</tr>
+<tr>
+<td>Camera 4</td>
+<td>March 14, 2014</td>
+<td>4:21PM</td>
+<td>5:54PM</td>
+</tr>
+</tbody>
+</table>
+</div><div class='column'><table>
+<thead><tr>
+<th>Camera</th>
+<th>Date</th>
+<th>Start</th>
+<th>End</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>Camera 5</td>
+<td>March 14, 2014</td>
+<td>4:12PM</td>
+<td>5:43PM</td>
+</tr>
+<tr>
+<td>Camera 6</td>
+<td>March 14, 2014</td>
+<td>4:18PM</td>
+<td>5:43PM</td>
+</tr>
+<tr>
+<td>Camera 7</td>
+<td>March 14, 2014</td>
+<td>4:16PM</td>
+<td>5:40PM</td>
+</tr>
+<tr>
+<td>Camera 8</td>
+<td>March 14, 2014</td>
+<td>4:25PM</td>
+<td>5:42PM</td>
+</tr>
+</tbody>
+</table>
+<<<<<<< HEAD
+</div></div></section><section><h4>Errata</h4>
+<ul>
+<li>The Duke MTMC dataset paper mentions 2,700 identities, but their ground truth file only lists annotations for 1,812.</li>
+</ul>
+<h4>Citing Duke MTMC</h4>
+<p>If you use any data from the Duke MTMC, please follow their <a href="http://vision.cs.duke.edu/DukeMTMC/#how-to-cite">license</a> and cite their work as:</p>
+<pre>
+@inproceedings{ristani2016MTMC,
+ title =        {Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking},
+ author =       {Ristani, Ergys and Solera, Francesco and Zou, Roger and Cucchiara, Rita and Tomasi, Carlo},
+ booktitle =    {European Conference on Computer Vision workshop on Benchmarking Multi-Target Tracking},
+ year =         {2016}
+}
+</pre></section><section>
+=======
+</div></div></section><section><h4>Notes</h4>
+<p>The original Duke MTMC dataset paper mentions 2,700 identities, but their ground truth file only lists annotations for 1,812, and their own research typically mentions 2,000. For this write up we used 2,000 to describe the approximate number of students.</p>
+<h4>Ethics</h4>
+<p>Please direct any questions about the ethics of the dataset to Duke University's <a href="https://hr.duke.edu/policies/expectations/compliance/">Institutional Ethics &amp; Compliance Office</a> using the number at the bottom of the page.</p>
+</section><section>
+>>>>>>> 61fbcb8f2709236f36a103a73e0bd9d1dd3723e8
 
-  <h3>Dataset Citations</h3>
+  <h4>Cite Our Work</h4>
   <p>
-    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
-  </p>
+  	
+  	If you use our data, research, or graphics please cite our work:
 
-  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
-</section><section><h2>Research Notes</h2>
+<pre id="cite-bibtex">
+@online{megapixels,
+  author = {Harvey, Adam. LaPlace, Jules.},
+  title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
+  year = 2019,
+  url = {https://megapixels.cc/},
+  urldate = {2019-04-18}
+}</pre>
+
+	</p>
+<<<<<<< HEAD
+</section><section><h4>ToDo</h4>
 <ul>
-<li>"We make available a new data set that has more than 2 million frames and more than 2,700 identities. It consists of 8×85 minutes of 1080p video recorded at 60 frames per second from 8 static cameras deployed on the Duke University campus during periods between lectures, when pedestrian traffic is heavy." - 27a2fad58dd8727e280f97036e0d2bc55ef5424c</li>
-<li>"This work was supported in part by the EPSRC Programme Grant (FACER2VM) EP/N007743/1, EPSRC/dstl/MURI project EP/R018456/1, the National Natural Science Foundation of China (61373055, 61672265, 61602390, 61532009, 61571313), Chinese Ministry of Education (Z2015101), Science and Technology Department of Sichuan Province (2017RZ0009 and 2017FZ0029), Education Department of Sichuan Province (15ZB0130), the Open Research Fund from Province Key Laboratory of Xihua University (szjj2015-056) and the NVIDIA GPU Grant Program." - ec9c20ed6cce15e9b63ac96bb5a6d55e69661e0b</li>
-<li>"DukeMTMC aims to accelerate advances in multi-target multi-camera tracking. It provides a tracking system that works within and across cameras, a new large scale HD video data set recorded by 8 synchronized cameras with more than 7,000 single camera trajectories and over 2,000 unique identities, and a new performance evaluation method that measures how often a system is correct about who is where"</li>
-<li><p>DukeMTMC is a new, manually annotated, calibrated, multi-camera data set recorded outdoors on the Duke University campus with 8 synchronized cameras. It consists of:</p>
-<p>8 static cameras x 85 minutes of 1080p 60 fps video
- More than 2,000,000 manually annotated frames
- More than 2,000 identities
- Manual annotation by 5 people over 1 year
- More identities than all existing MTMC datasets combined
- Unconstrained paths, diverse appearance</p>
-</li>
-<li>DukeMTMC Project
-Ergys Ristani Ergys Ristani Ergys Ristani Ergys Ristani Ergys Ristani</li>
+<li>clean up citations, formatting</li>
 </ul>
-<p>People involved:
-Ergys Ristani, Francesco Solera, Roger S. Zou, Rita Cucchiara, Carlo Tomasi.</p>
-<p>Navigation:</p>
-<p>Data Set
-   Downloads
-   Downloads
-   Dataset Extensions
-   Performance Measures
-   Tracking Systems
-   Publications
-   How to Cite
-   Contact</p>
-<p>Welcome to the Duke Multi-Target, Multi-Camera Tracking Project.</p>
-<p>DukeMTMC aims to accelerate advances in multi-target multi-camera tracking. It provides a tracking system that works within and across cameras, a new large scale HD video data set recorded by 8 synchronized cameras with more than 7,000 single camera trajectories and over 2,000 unique identities, and a new performance evaluation method that measures how often a system is correct about who is where.
-DukeMTMC Data Set
-Snapshot from the DukeMTMC data set.</p>
-<p>DukeMTMC is a new, manually annotated, calibrated, multi-camera data set recorded outdoors on the Duke University campus with 8 synchronized cameras. It consists of:</p>
-<p>8 static cameras x 85 minutes of 1080p 60 fps video
-   More than 2,000,000 manually annotated frames
-   More than 2,000 identities
-   Manual annotation by 5 people over 1 year
-   More identities than all existing MTMC datasets combined
-   Unconstrained paths, diverse appearance</p>
-<p>News</p>
-<p>05 Feb 2019 We are organizing the 2nd Workshop on MTMCT and ReID at CVPR 2019
-   25 Jul 2018: The code for DeepCC is available on github
-   28 Feb 2018: OpenPose detections now available for download
-   19 Feb 2018: Our DeepCC tracker has been accepted to CVPR 2018
-   04 Oct 2017: A new blog post describes ID measures of performance
-   26 Jul 2017: Slides from the BMTT 2017 workshop are now available
-   09 Dec 2016: DukeMTMC is now hosted on MOTChallenge</p>
-<p>DukeMTMC Downloads</p>
-<p>DukeMTMC dataset (tracking)</p>
-<p>Dataset Extensions</p>
-<p>Below is a list of dataset extensions provided by the community:</p>
-<p>DukeMTMC-VideoReID (download)
-   DukeMTMC-reID (download)
-   DukeMTMC4REID
-   DukeMTMC-attribute</p>
-<p>If you use or extend DukeMTMC, please refer to the license terms.
-DukeMTMCT Benchmark</p>
-<p>DukeMTMCT is a tracking benchmark hosted on motchallenge.net. Click here for the up-to-date rankings. Here you will find the official motchallenge-devkit used for evaluation by MOTChallenge. For detailed instructions how to submit on motchallenge you can refer to this link.</p>
-<p>Trackers are ranked using our identity-based measures which compute how often the system is correct about who is where, regardless of how often a target is lost and reacquired. Our measures are useful in applications such as security, surveillance or sports. This short post describes our measures with illustrations, while for details you can refer to the original paper.
-Tracking Systems</p>
-<p>We provide code for the following tracking systems which are all based on Correlation Clustering optimization:</p>
-<p>DeepCC for single- and multi-camera tracking [1]
-   Single-Camera Tracker (demo video) [2]
-   Multi-Camera Tracker (demo video, failure cases) [2]
-   People-Groups Tracker [3]
-   Original Single-Camera Tracker [4]</p>
-</section>
+</section><section><h3>References</h3><section><ul class="footnotes"><li>1 <a name="[^duke_mtmc_orig]" class="footnote_shim"></a><span class="backlinks"><a href="#[^duke_mtmc_orig]_1">a</a></span>"Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking". 2016. <a href="https://www.semanticscholar.org/paper/Performance-Measures-and-a-Data-Set-for-Tracking-Ristani-Solera/27a2fad58dd8727e280f97036e0d2bc55ef5424c">SemanticScholar</a>
+</li><li>2 <a name="[^sensetime_qz]" class="footnote_shim"></a><span class="backlinks"><a href="#[^sensetime_qz]_1">a</a></span><a href="https://qz.com/1248493/sensetime-the-billion-dollar-alibaba-backed-ai-company-thats-quietly-watching-everyone-in-china/">https://qz.com/1248493/sensetime-the-billion-dollar-alibaba-backed-ai-company-thats-quietly-watching-everyone-in-china/</a>
+</li><li>3 <a name="[^sensenets_uyghurs]" class="footnote_shim"></a><span class="backlinks"><a href="#[^sensenets_uyghurs]_1">a</a></span><a href="https://foreignpolicy.com/2019/03/19/962492-orwell-china-socialcredit-surveillance/">https://foreignpolicy.com/2019/03/19/962492-orwell-china-socialcredit-surveillance/</a>
+</li><li>4 <a name="[^xinjiang_nyt]" class="footnote_shim"></a><span class="backlinks"><a href="#[^xinjiang_nyt]_1">a</a></span>Mozur, Paul. "One Month, 500,000 Face Scans: How China Is Using A.I. to Profile a Minority". <a href="https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html">https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html</a>. April 14, 2019.
+=======
+</section><section><p>If you use any data from the Duke MTMC please follow their <a href="http://vision.cs.duke.edu/DukeMTMC/#how-to-cite">license</a> and cite their work as:</p>
+<pre>
+@inproceedings{ristani2016MTMC,
+ title =        {Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking},
+ author =       {Ristani, Ergys and Solera, Francesco and Zou, Roger and Cucchiara, Rita and Tomasi, Carlo},
+ booktitle =    {European Conference on Computer Vision workshop on Benchmarking Multi-Target Tracking},
+ year =         {2016}
+}
+</pre></section><section><h3>References</h3><section><ul class="footnotes"><li><a name="[^xinjiang_nyt]" class="footnote_shim"></a><span class="backlinks"><a href="#[^xinjiang_nyt]_1">a</a></span><p>Mozur, Paul. "One Month, 500,000 Face Scans: How China Is Using A.I. to Profile a Minority". <a href="https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html">https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html</a>. April 14, 2019.</p>
+</li><li><a name="[^sensetime_qz]" class="footnote_shim"></a><span class="backlinks"><a href="#[^sensetime_qz]_1">a</a></span><p><a href="https://qz.com/1248493/sensetime-the-billion-dollar-alibaba-backed-ai-company-thats-quietly-watching-everyone-in-china/">https://qz.com/1248493/sensetime-the-billion-dollar-alibaba-backed-ai-company-thats-quietly-watching-everyone-in-china/</a></p>
+</li><li><a name="[^sensenets_uyghurs]" class="footnote_shim"></a><span class="backlinks"><a href="#[^sensenets_uyghurs]_1">a</a></span><p><a href="https://foreignpolicy.com/2019/03/19/962492-orwell-china-socialcredit-surveillance/">https://foreignpolicy.com/2019/03/19/962492-orwell-china-socialcredit-surveillance/</a></p>
+</li><li><a name="[^duke_mtmc_orig]" class="footnote_shim"></a><span class="backlinks"><a href="#[^duke_mtmc_orig]_1">a</a></span><p>"Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking". 2016. <a href="https://www.semanticscholar.org/paper/Performance-Measures-and-a-Data-Set-for-Tracking-Ristani-Solera/27a2fad58dd8727e280f97036e0d2bc55ef5424c">SemanticScholar</a></p>
+>>>>>>> 61fbcb8f2709236f36a103a73e0bd9d1dd3723e8
+</li></ul></section></section>
 
   </div>
   <footer>
     <div>
       <a href="/">MegaPixels.cc</a>
-      <a href="/about/disclaimer/">Disclaimer</a>
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+      <a href="/datasets/">Datasets</a>
       <a href="/about/">About</a>
-      <a href="/about/team/">Team</a>
+      <a href="/about/press/">Press</a>
+      <a href="/about/legal/">Legal and Privacy</a>
     </div>
     <div>
       MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
diff --git a/site/public/datasets/facebook/index.html b/site/public/datasets/facebook/index.html
deleted file mode 100644
index b2943e1f..00000000
--- a/site/public/datasets/facebook/index.html
+++ /dev/null
@@ -1,55 +0,0 @@
-<!doctype html>
-<html>
-<head>
-  <title>MegaPixels</title>
-  <meta charset="utf-8" />
-  <meta name="author" content="Adam Harvey" />
-  <meta name="description" content="TBD" />
-  <meta name="referrer" content="no-referrer" />
-  <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
-  <link rel='stylesheet' href='/assets/css/fonts.css' />
-  <link rel='stylesheet' href='/assets/css/css.css' />
-  <link rel='stylesheet' href='/assets/css/leaflet.css' />
-  <link rel='stylesheet' href='/assets/css/applets.css' />
-</head>
-<body>
-  <header>
-    <a class='slogan' href="/">
-      <div class='logo'></div>
-      <div class='site_name'>MegaPixels</div>
-      
-    </a>
-    <div class='links'>
-      <a href="/datasets/">Datasets</a>
-      <a href="/about/">About</a>
-    </div>
-  </header>
-  <div class="content content-">
-    
-  <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/facebook/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'>TBD</span></div><div class='hero_subdesc'><span class='bgpad'>TBD
-</span></div></div></section><section><div class='image'><div class='intro-caption caption'>TBD</div></div></section><section><h3>Statistics</h3>
-<div class='meta'><div><div class='gray'>Years</div><div>2002-2004</div></div><div><div class='gray'>Images</div><div>13,233</div></div><div><div class='gray'>Identities</div><div>5,749</div></div><div><div class='gray'>Origin</div><div>Yahoo News Images</div></div><div><div class='gray'>Funding</div><div>(Possibly, partially CIA)</div></div></div><p>Ignore content below these lines</p>
-<ul>
-<li>Tool to create face datasets from Facebook <a href="https://github.com/ankitaggarwal011/FaceGrab">https://github.com/ankitaggarwal011/FaceGrab</a></li>
-</ul>
-</section>
-
-  </div>
-  <footer>
-    <div>
-      <a href="/">MegaPixels.cc</a>
-      <a href="/about/disclaimer/">Disclaimer</a>
-      <a href="/about/terms/">Terms of Use</a>
-      <a href="/about/privacy/">Privacy</a>
-      <a href="/about/">About</a>
-      <a href="/about/team/">Team</a>
-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
-  </footer>
-</body>
-
-<script src="/assets/js/dist/index.js"></script>
-</html>
\ No newline at end of file
diff --git a/site/public/datasets/feret/index.html b/site/public/datasets/feret/index.html
index 45510f64..7f9ed94c 100644
--- a/site/public/datasets/feret/index.html
+++ b/site/public/datasets/feret/index.html
@@ -26,13 +26,84 @@
   </header>
   <div class="content content-">
     
-  <section><h1>FERET</h1>
-</section><section><div class='meta'><div><div class='gray'>Years</div><div>1993-1996</div></div><div><div class='gray'>Images</div><div>14,126</div></div><div><div class='gray'>Identities</div><div>1,199 </div></div><div><div class='gray'>Origin</div><div>Fairfax, MD</div></div></div><section><section><!--header--></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/feret/assets/feret_index.gif' alt=''></div></section><section><p><em>Facial Recognition Evaluation</em> (FERET) is develop, test, and evaluate face recognition algorithms</p>
-<p>The goal of the FERET program was to develop automatic face recognition capabilities that could be employed to assist security, intelligence, and law enforcement personnel in the performance of their duties.</p>
+  <section><h1>FacE REcognition Dataset (FERET)</h1>
+</section><section><div class='right-sidebar'><div class='meta'>
+    <div class='gray'>Published</div>
+    <div>2007</div>
+  </div><div class='meta'>
+    <div class='gray'>Images</div>
+    <div>13,233 </div>
+  </div><div class='meta'>
+    <div class='gray'>Identities</div>
+    <div>5,749 </div>
+  </div><div class='meta'>
+    <div class='gray'>Purpose</div>
+    <div>face recognition</div>
+  </div><div class='meta'>
+    <div class='gray'>Website</div>
+    <div><a href='http://vis-www.cs.umass.edu/lfw/' target='_blank' rel='nofollow noopener'>umass.edu</a></div>
+  </div></div><p>[ page under development ]</p>
+</section><section>
+  <h3>Who used LFW?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
+	
+	<h3>Biometric Trade Routes</h3>
+
+	<p>
+		To help understand how LFW has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Labeled Faces in the Wild was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
+	</p>
+ 
+ </section>
+
+<section class="applet_container fullwidth">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
+</section>
+
+<div class="caption">
+	<ul class="map-legend">
+	<li class="edu">Academic</li>
+	<li class="com">Commercial</li>
+	<li class="gov">Military / Government</li>
+	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
+</div>
+
+
+<section class="applet_container">
+
+  <h3>Dataset Citations</h3>
+  <p>
+    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
+  </p>
+
+  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
+</section><section><h3>(ignore) RESEARCH below this line</h3>
 <ul>
+<li>Years: 1993-1996</li>
+<li>Images: 14,126</li>
+<li>Identities: 1,199 </li>
+<li>Origin: Fairfax, MD</li>
+<li><em>Facial Recognition Evaluation</em> (FERET) is develop, test, and evaluate face recognition algorithms</li>
+<li>The goal of the FERET program was to develop automatic face recognition capabilities that could be employed to assist security, intelligence, and law enforcement personnel in the performance of their duties.</li>
 <li><a href="https://www.nist.gov/programs-projects/face-recognition-technology-feret">https://www.nist.gov/programs-projects/face-recognition-technology-feret</a></li>
 </ul>
-<p>RESEARCH below this line</p>
 <h3>"The FERET database and evaluation procedure for face-recognition algorithms"</h3>
 <ul>
 <li>Images were captured using Kodak Ultra film</li>
@@ -48,18 +119,17 @@
 
   </div>
   <footer>
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-      <a href="/">MegaPixels.cc</a>
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-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
+      <li><a href="/datasets/">Datasets</a></li>
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+      <li><a href="/about/press/">Press</a></li>
+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
   </footer>
 </body>
 
diff --git a/site/public/datasets/hrt_transgender/index.html b/site/public/datasets/hrt_transgender/index.html
index 80a4f40b..4e566a4a 100644
--- a/site/public/datasets/hrt_transgender/index.html
+++ b/site/public/datasets/hrt_transgender/index.html
@@ -27,7 +27,8 @@
   <div class="content content-dataset">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/hrt_transgender/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'>TBD</span></div><div class='hero_subdesc'><span class='bgpad'>TBD
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'>
+</span></div></div></section><section><h2>HRT Transgender Dataset</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
     <div class='gray'>Published</div>
     <div>2013</div>
   </div><div class='meta'>
@@ -38,97 +39,27 @@
     <div>38 </div>
   </div><div class='meta'>
     <div class='gray'>Purpose</div>
-    <div>gender transition and facial recognition</div>
+    <div>Face recognition, gender transition biometrics</div>
   </div><div class='meta'>
     <div class='gray'>Website</div>
     <div><a href='http://www.faceaginggroup.com/hrt-transgender/' target='_blank' rel='nofollow noopener'>faceaginggroup.com</a></div>
-  </div><div class='meta'><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div></div></div><h2>HRT Transgender Dataset</h2>
-</section><section>
-  <h3>Who used HRT Transgender?</h3>
-
-  <p>
-    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
-  </p>
- 
- </section>
-
-<section class="applet_container">
-<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
-</div> -->
- <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
-</section><section class="applet_container">
- <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
-</section><section>
-	
-	<h3>Biometric Trade Routes</h3>
-<!-- 
-	<div class="map-sidebar right-sidebar">
-	  <h3>Legend</h3>
-	  <ul>
-	    <li><span style="color: #f2f293">&#9632;</span> Industry</li>
-	    <li><span style="color: #f30000">&#9632;</span> Academic</li>
-	    <li><span style="color: #3264f6">&#9632;</span> Government</li>
-	  </ul>
-	</div>
-	 -->
-	<p>
-		To help understand how HRT Transgender has been used around the world for commercial, military and academic research; publicly available research citing HRT Transgender Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
-	</p>
- 
- </section>
-
-<section class="applet_container fullwidth">
- <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
-
-</section>
-
-<div class="caption">
-	<ul class="map-legend">
-	<li class="edu">Academic</li>
-	<li class="com">Commercial</li>
-	<li class="gov">Military / Government</li>
-	<li class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</li>
-	</ul>
-</div>
-
-<!-- <section>
-	<p class='subp'>
-		[section under development] HRT Transgender ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.
-	</p>
-</section>
- --><section>
-
-  <div class="hr-wave-holder">
-      <div class="hr-wave-line hr-wave-line1"></div>
-      <div class="hr-wave-line hr-wave-line2"></div>
-  </div>
-
-  <h3>Supplementary Information</h3>
-  
-</section><section class="applet_container">
-
-  <h3>Dataset Citations</h3>
-  <p>
-    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
-  </p>
-
-  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
+  </div></div><p>[ page under development ]</p>
+</section><section><p>{% include 'dashboard.html' }</p>
 </section>
 
   </div>
   <footer>
-    <div>
-      <a href="/">MegaPixels.cc</a>
-      <a href="/about/disclaimer/">Disclaimer</a>
-      <a href="/about/terms/">Terms of Use</a>
-      <a href="/about/privacy/">Privacy</a>
-      <a href="/about/">About</a>
-      <a href="/about/team/">Team</a>
-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
+      <li><a href="/datasets/">Datasets</a></li>
+      <li><a href="/about/">About</a></li>
+      <li><a href="/about/press/">Press</a></li>
+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
   </footer>
 </body>
 
diff --git a/site/public/datasets/index.html b/site/public/datasets/index.html
index f4776f6a..5c8e2546 100644
--- a/site/public/datasets/index.html
+++ b/site/public/datasets/index.html
@@ -28,7 +28,7 @@
     
 
   <section><h1>Facial Recognition Datasets</h1>
-<p>Explore publicly available facial recognition datasets. More datasets will be added throughout 2019.</p>
+<p>Explore publicly available facial recognition datasets feeding into research and development of biometric surveillance technologies at the largest technology companies and defense contractors in the world.</p>
 </section>
 
   <section class='applet_container autosize'><div class='applet' data-payload='{"command":"dataset_list"}'></div></section>
@@ -51,43 +51,31 @@
     
       <a href="/datasets/duke_mtmc/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/duke_mtmc/assets/index.jpg)">
         <div class="dataset">
-          <span class='title'>Duke Multi-Target, Multi-Camera Tracking</span>
+          <span class='title'>Duke MTMC</span>
           <div class='fields'>
             <div class='year visible'><span>2016</span></div>
-            <div class='purpose'><span>Person re-identification and multi-camera tracking</span></div>
+            <div class='purpose'><span>Person re-identification, multi-camera tracking</span></div>
             <div class='images'><span>2,000,000  images</span></div>
             <div class='identities'><span>1,812 </span></div>
           </div>
         </div>
       </a>
     
-      <a href="/datasets/lfw/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/index.jpg)">
+      <a href="/datasets/hrt_transgender/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/hrt_transgender/assets/index.jpg)">
         <div class="dataset">
-          <span class='title'>Labeled Faces in The Wild</span>
+          <span class='title'>HRT Transgender Dataset</span>
           <div class='fields'>
-            <div class='year visible'><span>2007</span></div>
-            <div class='purpose'><span>face recognition</span></div>
-            <div class='images'><span>13,233  images</span></div>
-            <div class='identities'><span>5,749 </span></div>
-          </div>
-        </div>
-      </a>
-    
-      <a href="/datasets/market_1501/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/market_1501/assets/index.jpg)">
-        <div class="dataset">
-          <span class='title'>Market-1501</span>
-          <div class='fields'>
-            <div class='year visible'><span>2015</span></div>
-            <div class='purpose'><span>Person re-identification</span></div>
-            <div class='images'><span>32,668  images</span></div>
-            <div class='identities'><span>1,501 </span></div>
+            <div class='year visible'><span>2013</span></div>
+            <div class='purpose'><span>gender transition and facial recognition</span></div>
+            <div class='images'><span>10,564  images</span></div>
+            <div class='identities'><span>38 </span></div>
           </div>
         </div>
       </a>
     
       <a href="/datasets/msceleb/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/msceleb/assets/index.jpg)">
         <div class="dataset">
-          <span class='title'>MS Celeb</span>
+          <span class='title'>Microsoft Celeb</span>
           <div class='fields'>
             <div class='year visible'><span>2016</span></div>
             <div class='purpose'><span>Large-scale face recognition</span></div>
@@ -97,23 +85,23 @@
         </div>
       </a>
     
-      <a href="/datasets/pipa/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/pipa/assets/index.jpg)">
+      <a href="/datasets/oxford_town_centre/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/oxford_town_centre/assets/index.jpg)">
         <div class="dataset">
-          <span class='title'>People in Photo Albums</span>
+          <span class='title'>Oxford Town Centre</span>
           <div class='fields'>
-            <div class='year visible'><span>2015</span></div>
-            <div class='purpose'><span>Face recognition</span></div>
-            <div class='images'><span>37,107  images</span></div>
-            <div class='identities'><span>2,356 </span></div>
+            <div class='year visible'><span>2011</span></div>
+            <div class='purpose'><span>Person detection, gaze estimation</span></div>
+            <div class='images'><span> images</span></div>
+            <div class='identities'><span></span></div>
           </div>
         </div>
       </a>
     
       <a href="/datasets/uccs/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/index.jpg)">
         <div class="dataset">
-          <span class='title'>Unconstrained College Students</span>
+          <span class='title'>UnConstrained College Students</span>
           <div class='fields'>
-            <div class='year visible'><span>2018</span></div>
+            <div class='year visible'><span>2016</span></div>
             <div class='purpose'><span>Face recognition, face detection</span></div>
             <div class='images'><span>16,149  images</span></div>
             <div class='identities'><span>1,732 </span></div>
@@ -121,36 +109,23 @@
         </div>
       </a>
     
-      <a href="/datasets/viper/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/viper/assets/index.jpg)">
-        <div class="dataset">
-          <span class='title'>VIPeR</span>
-          <div class='fields'>
-            <div class='year visible'><span>2007</span></div>
-            <div class='purpose'><span>Person re-identification</span></div>
-            <div class='images'><span>1,264  images</span></div>
-            <div class='identities'><span>632 </span></div>
-          </div>
-        </div>
-      </a>
-    
     </div>
   </section>
 
 
   </div>
   <footer>
-    <div>
-      <a href="/">MegaPixels.cc</a>
-      <a href="/about/disclaimer/">Disclaimer</a>
-      <a href="/about/terms/">Terms of Use</a>
-      <a href="/about/privacy/">Privacy</a>
-      <a href="/about/">About</a>
-      <a href="/about/team/">Team</a>
-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
+      <li><a href="/datasets/">Datasets</a></li>
+      <li><a href="/about/">About</a></li>
+      <li><a href="/about/press/">Press</a></li>
+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
   </footer>
 </body>
 
diff --git a/site/public/datasets/lfpw/index.html b/site/public/datasets/lfpw/index.html
index 77189ce7..a9eb025d 100644
--- a/site/public/datasets/lfpw/index.html
+++ b/site/public/datasets/lfpw/index.html
@@ -26,8 +26,68 @@
   </header>
   <div class="content content-">
     
-  <section><h1>Labeled Face Parts in The Wild</h1>
-</section><section><div class='meta'><div><div class='gray'>Year</div><div>2011</div></div><div><div class='gray'>Images</div><div>1,432</div></div><div><div class='gray'>Origin</div><div>Flickr</div></div><div><div class='gray'>Funding</div><div>CIA</div></div></div><section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfpw/assets/background.jpg' alt=''></div></section><section><p>RESEARCH below this line</p>
+  <section><h2>Labeled Face Parts in The Wild</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
+    <div class='gray'>Published</div>
+    <div>2011</div>
+  </div><div class='meta'>
+    <div class='gray'>Funded by</div>
+    <div>CIA</div>
+  </div><div class='meta'>
+    <div class='gray'>Website</div>
+    <div><a href='http://neerajkumar.org/databases/lfpw/' target='_blank' rel='nofollow noopener'>neerajkumar.org</a></div>
+  </div></div></section><section>
+  <h3>Who used LFWP?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
+	
+	<h3>Biometric Trade Routes</h3>
+
+	<p>
+		To help understand how LFWP has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Labeled Face Parts in the Wild was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
+	</p>
+ 
+ </section>
+
+<section class="applet_container fullwidth">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
+</section>
+
+<div class="caption">
+	<ul class="map-legend">
+	<li class="edu">Academic</li>
+	<li class="com">Commercial</li>
+	<li class="gov">Military / Government</li>
+	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
+</div>
+
+
+<section class="applet_container">
+
+  <h3>Dataset Citations</h3>
+  <p>
+    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
+  </p>
+
+  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
+</section><section><p>RESEARCH below this line</p>
 <blockquote><p>Release 1 of LFPW consists of 1,432 faces from images downloaded from the web using simple text queries on sites such as google.com, flickr.com, and yahoo.com.   Each image was labeled by three MTurk workers, and 29 fiducial points, shown below, are included in dataset.  LFPW was originally described in the following publication:</p>
 <p>Due to copyright issues, we cannot distribute image files in any format to anyone. Instead, we have made available a list of image URLs where you can download the images yourself. We realize that this makes it impossible to exactly compare numbers, as image links will slowly disappear over time, but we have no other option. This seems to be the way other large web-based databases seem to be evolving.</p>
 </blockquote>
@@ -38,18 +98,17 @@
 
   </div>
   <footer>
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-      <a href="/about/">About</a>
-      <a href="/about/team/">Team</a>
-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
+      <li><a href="/datasets/">Datasets</a></li>
+      <li><a href="/about/">About</a></li>
+      <li><a href="/about/press/">Press</a></li>
+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
   </footer>
 </body>
 
diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html
index d451d0cd..ff7a3cd9 100644
--- a/site/public/datasets/lfw/index.html
+++ b/site/public/datasets/lfw/index.html
@@ -27,7 +27,8 @@
   <div class="content content-">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">Labeled Faces in The Wild (LFW)</span> is the first facial recognition dataset created entirely from online photos</span></div><div class='hero_subdesc'><span class='bgpad'>It includes 13,456 images of 4,432 people's images copied from the Internet during 2002-2004 and is the most frequently used dataset in the world for benchmarking face recognition algorithms.
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'>
+</span></div></div></section><section><h2>Labeled Faces in the Wild</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
     <div class='gray'>Published</div>
     <div>2007</div>
   </div><div class='meta'>
@@ -42,45 +43,44 @@
   </div><div class='meta'>
     <div class='gray'>Website</div>
     <div><a href='http://vis-www.cs.umass.edu/lfw/' target='_blank' rel='nofollow noopener'>umass.edu</a></div>
-  </div><div class='meta'><div><div class='gray'>Created</div><div>2002 &ndash; 2004</div></div><div><div class='gray'>Images</div><div>13,233</div></div><div><div class='gray'>Identities</div><div>5,749</div></div><div><div class='gray'>Origin</div><div>Yahoo! News Images</div></div><div><div class='gray'>Used by</div><div>Facebook, Google, Microsoft, Baidu, Tencent, SenseTime, Face++, CIA, NSA, IARPA</div></div><div><div class='gray'>Website</div><div><a href="http://vis-www.cs.umass.edu/lfw">umass.edu</a></div></div></div><ul>
-<li>There are about 3 men for every 1 woman in the LFW dataset<a class="footnote_shim" name="[^lfw_www]_1"> </a><a href="#[^lfw_www]" class="footnote" title="Footnote 1">1</a></li>
-<li>The person with the most images is <a href="http://vis-www.cs.umass.edu/lfw/person/George_W_Bush_comp.html">George W. Bush</a> with 530</li>
-<li>There are about 3 George W. Bush's for every 1 <a href="http://vis-www.cs.umass.edu/lfw/person/Tony_Blair.html">Tony Blair</a></li>
-<li>The LFW dataset includes over 500 actors, 30 models, 10 presidents, 124 basketball players, 24 football players, 11 kings, 7 queens, and 1 <a href="http://vis-www.cs.umass.edu/lfw/person/Moby.html">Moby</a></li>
-<li>In all 3 of the LFW publications [^lfw_original_paper], [^lfw_survey], [^lfw_tech_report] the words "ethics", "consent", and "privacy" appear 0 times</li>
-<li>The word "future" appears 71 times</li>
-<li>* denotes partial funding for related research</li>
-</ul>
-</div><h2>Labeled Faces in the Wild</h2>
-<p>(PAGE UNDER DEVELOPMENT)</p>
-<p><em>Labeled Faces in The Wild</em> (LFW) is "a database of face photographs designed for studying the problem of unconstrained face recognition<a class="footnote_shim" name="[^lfw_www]_2"> </a><a href="#[^lfw_www]" class="footnote" title="Footnote 1">1</a>. It is used to evaluate and improve the performance of facial recognition algorithms in academic, commercial, and government research. According to BiometricUpdate.com<a class="footnote_shim" name="[^lfw_pingan]_1"> </a><a href="#[^lfw_pingan]" class="footnote" title="Footnote 3">3</a>, LFW is "the most widely used evaluation set in the field of facial recognition, LFW attracts a few dozen teams from around the globe including Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong."</p>
+  </div></div><p>[ PAGE UNDER DEVELOPMENT ]</p>
+<p><em>Labeled Faces in The Wild</em> (LFW) is "a database of face photographs designed for studying the problem of unconstrained face recognition<a class="footnote_shim" name="[^lfw_www]_1"> </a><a href="#[^lfw_www]" class="footnote" title="Footnote 1">1</a>. It is used to evaluate and improve the performance of facial recognition algorithms in academic, commercial, and government research. According to BiometricUpdate.com<a class="footnote_shim" name="[^lfw_pingan]_1"> </a><a href="#[^lfw_pingan]" class="footnote" title="Footnote 3">3</a>, LFW is "the most widely used evaluation set in the field of facial recognition, LFW attracts a few dozen teams from around the globe including Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong."</p>
 <p>The LFW dataset includes 13,233 images of 5,749 people that were collected between 2002-2004. LFW is a subset of <em>Names of Faces</em> and is part of the first facial recognition training dataset created entirely from images appearing on the Internet. The people appearing in LFW are...</p>
 <p>The <em>Names and Faces</em> dataset was the first face recognition dataset created entire from online photos. However, <em>Names and Faces</em> and <em>LFW</em> are not the first face recognition dataset created entirely "in the wild". That title belongs to the <a href="/datasets/ucd_faces/">UCD dataset</a>. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.</p>
 <p>The <em>Names and Faces</em> dataset was the first face recognition dataset created entire from online photos. However, <em>Names and Faces</em> and <em>LFW</em> are not the first face recognition dataset created entirely "in the wild". That title belongs to the <a href="/datasets/ucd_faces/">UCD dataset</a>. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.</p>
 </section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_montage_all_crop.jpg' alt='All 5,379 people in the Labeled Faces in The Wild Dataset. Showing one face per person'><div class='caption'>All 5,379 people in the Labeled Faces in The Wild Dataset. Showing one face per person</div></div></section><section><p>The <em>Names and Faces</em> dataset was the first face recognition dataset created entire from online photos. However, <em>Names and Faces</em> and <em>LFW</em> are not the first face recognition dataset created entirely "in the wild". That title belongs to the <a href="/datasets/ucd_faces/">UCD dataset</a>. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.</p>
 <p>The <em>Names and Faces</em> dataset was the first face recognition dataset created entire from online photos. However, <em>Names and Faces</em> and <em>LFW</em> are not the first face recognition dataset created entirely "in the wild". That title belongs to the <a href="/datasets/ucd_faces/">UCD dataset</a>. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.</p>
 </section><section>
+  <h3>Who used LFW?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
 	
 	<h3>Biometric Trade Routes</h3>
-<!-- 
-	<div class="map-sidebar right-sidebar">
-	  <h3>Legend</h3>
-	  <ul>
-	    <li><span style="color: #f2f293">&#9632;</span> Industry</li>
-	    <li><span style="color: #f30000">&#9632;</span> Academic</li>
-	    <li><span style="color: #3264f6">&#9632;</span> Government</li>
-	  </ul>
-	</div>
-	 -->
+
 	<p>
-		To help understand how LFW has been used around the world for commercial, military and academic research; publicly available research citing Labeled Faces in the Wild is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
+		To help understand how LFW has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Labeled Faces in the Wild was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
 	</p>
  
  </section>
 
 <section class="applet_container fullwidth">
  <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
-
 </section>
 
 <div class="caption">
@@ -88,30 +88,19 @@
 	<li class="edu">Academic</li>
 	<li class="com">Commercial</li>
 	<li class="gov">Military / Government</li>
-	<li class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</li>
 	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
 </div>
 
-<!-- <section>
-	<p class='subp'>
-		[section under development] LFW ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.
-	</p>
-</section>
- --><section>
-  <h3>Who used LFW?</h3>
 
+<section class="applet_container">
+
+  <h3>Dataset Citations</h3>
   <p>
-    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
   </p>
- 
- </section>
 
-<section class="applet_container">
-<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
-</div> -->
- <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
-</section><section class="applet_container">
- <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
 </section><section>
 
   <div class="hr-wave-holder">
@@ -119,38 +108,57 @@
       <div class="hr-wave-line hr-wave-line2"></div>
   </div>
 
-  <h3>Supplementary Information</h3>
+  <h2>Supplementary Information</h2>
   
-</section><section class="applet_container">
-
-  <h3>Dataset Citations</h3>
-  <p>
-    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
-  </p>
-
-  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
 </section><section><h3>Commercial Use</h3>
 <p>Add a paragraph about how usage extends far beyond academia into research centers for largest companies in the world. And even funnels into CIA funded research in the US and defense industry usage in China.</p>
-</section><section class='applet_container'><div class='applet' data-payload='{"command": "load_file assets/lfw_commercial_use.csv", "fields": ["name_display, company_url, example_url, country, description"]}'></div></section><section><p>Research, text, and graphics ©Adam Harvey / megapixels.cc</p>
-</section><section><ul class="footnotes"><li><a name="[^lfw_www]" class="footnote_shim"></a><span class="backlinks"><a href="#[^lfw_www]_1">a</a><a href="#[^lfw_www]_2">b</a></span><p><a href="http://vis-www.cs.umass.edu/lfw/results.html">http://vis-www.cs.umass.edu/lfw/results.html</a></p>
-</li><li><a name="[^lfw_baidu]" class="footnote_shim"></a><span class="backlinks"></span><p>Jingtuo Liu, Yafeng Deng, Tao Bai, Zhengping Wei, Chang Huang. Targeting Ultimate Accuracy: Face Recognition via Deep Embedding. <a href="https://arxiv.org/abs/1506.07310">https://arxiv.org/abs/1506.07310</a></p>
-</li><li><a name="[^lfw_pingan]" class="footnote_shim"></a><span class="backlinks"><a href="#[^lfw_pingan]_1">a</a></span><p>Lee, Justin. "PING AN Tech facial recognition receives high score in latest LFW test results". BiometricUpdate.com. Feb 13, 2017. <a href="https://www.biometricupdate.com/201702/ping-an-tech-facial-recognition-receives-high-score-in-latest-lfw-test-results">https://www.biometricupdate.com/201702/ping-an-tech-facial-recognition-receives-high-score-in-latest-lfw-test-results</a></p>
-</li></ul></section>
+</section><section class='applet_container'><div class='applet' data-payload='{"command": "load_file assets/lfw_commercial_use.csv", "fields": ["name_display, company_url, example_url, country, description"]}'></div></section><section><h3>Research</h3>
+<ul>
+<li>"In our experiments, we used 10000 images and associated captions from the Faces in the wilddata set [3]."</li>
+<li>"This work was supported in part by the Center for Intelligent Information Retrieval, the Central Intelligence Agency, the National Security Agency and National Science Foundation under CAREER award IIS-0546666 and grant IIS-0326249."</li>
+<li>From: "People-LDA: Anchoring Topics to People using Face Recognition" <a href="https://www.semanticscholar.org/paper/People-LDA%3A-Anchoring-Topics-to-People-using-Face-Jain-Learned-Miller/10f17534dba06af1ddab96c4188a9c98a020a459">https://www.semanticscholar.org/paper/People-LDA%3A-Anchoring-Topics-to-People-using-Face-Jain-Learned-Miller/10f17534dba06af1ddab96c4188a9c98a020a459</a> and <a href="https://ieeexplore.ieee.org/document/4409055">https://ieeexplore.ieee.org/document/4409055</a></li>
+<li>This paper was presented at IEEE 11th ICCV conference Oct 14-21 and the main LFW paper "Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments" was also published that same year</li>
+<li>10f17534dba06af1ddab96c4188a9c98a020a459</li>
+<li>This research is based upon work supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via contract number 2014-14071600010.</li>
+<li>From "Labeled Faces in the Wild: Updates and New Reporting Procedures"</li>
+<li>70% of people in the dataset have only 1 image and 29% have 2 or more images</li>
+<li>The LFW dataset is considered the "most popular benchmark for face recognition" <a class="footnote_shim" name="[^lfw_baidu]_1"> </a><a href="#[^lfw_baidu]" class="footnote" title="Footnote 2">2</a></li>
+<li>The LFW dataset is "the most widely used evaluation set in the field of facial recognition" <a class="footnote_shim" name="[^lfw_pingan]_2"> </a><a href="#[^lfw_pingan]" class="footnote" title="Footnote 3">3</a></li>
+<li>All images in LFW dataset were obtained "in the wild" meaning without any consent from the subject or from the photographer</li>
+<li>The faces in the LFW dataset were detected using the Viola-Jones haarcascade face detector [^lfw_website] [^lfw-survey]</li>
+<li>The LFW dataset is used by several of the largest tech companies in the world including "Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong." <a class="footnote_shim" name="[^lfw_pingan]_3"> </a><a href="#[^lfw_pingan]" class="footnote" title="Footnote 3">3</a></li>
+<li>All images in the LFW dataset were copied from Yahoo News between 2002 - 2004</li>
+<li>In 2014, two of the four original authors of the LFW dataset received funding from IARPA and ODNI for their followup paper <a href="https://www.semanticscholar.org/paper/Labeled-Faces-in-the-Wild-%3A-Updates-and-New-Huang-Learned-Miller/2d3482dcff69c7417c7b933f22de606a0e8e42d4">Labeled Faces in the Wild: Updates and New Reporting Procedures</a> via IARPA contract number 2014-14071600010</li>
+<li>The dataset includes 2 images of <a href="http://vis-www.cs.umass.edu/lfw/person/George_Tenet.html">George Tenet</a>, the former Director of Central Intelligence (DCI) for the Central Intelligence Agency whose facial biometrics were eventually used to help train facial recognition software in China and Russia</li>
+<li>./15/155205b8e288fd49bf203135871d66de879c8c04/paper.txt shows usage by DSTO Australia, supported parimal@iisc.ac.in</li>
+</ul>
+</section><section><div class='meta'><div><div class='gray'>Created</div><div>2002 &ndash; 2004</div></div><div><div class='gray'>Images</div><div>13,233</div></div><div><div class='gray'>Identities</div><div>5,749</div></div><div><div class='gray'>Origin</div><div>Yahoo! News Images</div></div><div><div class='gray'>Used by</div><div>Facebook, Google, Microsoft, Baidu, Tencent, SenseTime, Face++, CIA, NSA, IARPA</div></div><div><div class='gray'>Website</div><div><a href="http://vis-www.cs.umass.edu/lfw">umass.edu</a></div></div></div><section><section><ul>
+<li>There are about 3 men for every 1 woman in the LFW dataset<a class="footnote_shim" name="[^lfw_www]_2"> </a><a href="#[^lfw_www]" class="footnote" title="Footnote 1">1</a></li>
+<li>The person with the most images is <a href="http://vis-www.cs.umass.edu/lfw/person/George_W_Bush_comp.html">George W. Bush</a> with 530</li>
+<li>There are about 3 George W. Bush's for every 1 <a href="http://vis-www.cs.umass.edu/lfw/person/Tony_Blair.html">Tony Blair</a></li>
+<li>The LFW dataset includes over 500 actors, 30 models, 10 presidents, 124 basketball players, 24 football players, 11 kings, 7 queens, and 1 <a href="http://vis-www.cs.umass.edu/lfw/person/Moby.html">Moby</a></li>
+<li>In all 3 of the LFW publications [^lfw_original_paper], [^lfw_survey], [^lfw_tech_report] the words "ethics", "consent", and "privacy" appear 0 times</li>
+<li>The word "future" appears 71 times</li>
+<li>* denotes partial funding for related research</li>
+</ul>
+</section><section><h3>References</h3><section><ul class="footnotes"><li><a name="[^lfw_www]" class="footnote_shim"></a><span class="backlinks"><a href="#[^lfw_www]_1">a</a><a href="#[^lfw_www]_2">b</a></span><p><a href="http://vis-www.cs.umass.edu/lfw/results.html">http://vis-www.cs.umass.edu/lfw/results.html</a></p>
+</li><li><a name="[^lfw_baidu]" class="footnote_shim"></a><span class="backlinks"><a href="#[^lfw_baidu]_1">a</a></span><p>Jingtuo Liu, Yafeng Deng, Tao Bai, Zhengping Wei, Chang Huang. Targeting Ultimate Accuracy: Face Recognition via Deep Embedding. <a href="https://arxiv.org/abs/1506.07310">https://arxiv.org/abs/1506.07310</a></p>
+</li><li><a name="[^lfw_pingan]" class="footnote_shim"></a><span class="backlinks"><a href="#[^lfw_pingan]_1">a</a><a href="#[^lfw_pingan]_2">b</a><a href="#[^lfw_pingan]_3">c</a></span><p>Lee, Justin. "PING AN Tech facial recognition receives high score in latest LFW test results". BiometricUpdate.com. Feb 13, 2017. <a href="https://www.biometricupdate.com/201702/ping-an-tech-facial-recognition-receives-high-score-in-latest-lfw-test-results">https://www.biometricupdate.com/201702/ping-an-tech-facial-recognition-receives-high-score-in-latest-lfw-test-results</a></p>
+</li></ul></section></section>
 
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diff --git a/site/public/datasets/market_1501/index.html b/site/public/datasets/market_1501/index.html
index 1ffd7e6c..05750dc7 100644
--- a/site/public/datasets/market_1501/index.html
+++ b/site/public/datasets/market_1501/index.html
@@ -4,7 +4,7 @@
   <title>MegaPixels</title>
   <meta charset="utf-8" />
   <meta name="author" content="Adam Harvey" />
-  <meta name="description" content="Market-1501 is a dataset is collection of CCTV footage from ..." />
+  <meta name="description" content="Market-1501 is a dataset is collection of CCTV footage from Tsinghua University" />
   <meta name="referrer" content="no-referrer" />
   <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
   <link rel='stylesheet' href='/assets/css/fonts.css' />
@@ -26,8 +26,9 @@
   </header>
   <div class="content content-dataset">
     
-  <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/market_1501/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">Market-1501</span> is a dataset is collection of CCTV footage from ...</span></div><div class='hero_subdesc'><span class='bgpad'>The Market-1501 dataset includes ...
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'>
+  <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/market_1501/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">Market-1501</span> is a dataset is collection of CCTV footage from Tsinghua University</span></div><div class='hero_subdesc'><span class='bgpad'>The Market-1501 dataset includes 1,261 people from 5 HD surveillance cameras located on campus
+</span></div></div></section><section><h2>Market-1501 Dataset</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
     <div class='gray'>Published</div>
     <div>2015</div>
   </div><div class='meta'>
@@ -42,30 +43,38 @@
   </div><div class='meta'>
     <div class='gray'>Website</div>
     <div><a href='http://www.liangzheng.org/Project/project_reid.html' target='_blank' rel='nofollow noopener'>liangzheng.org</a></div>
-  </div><div class='meta'><div><div class='gray'>Collected</div><div>TBD</div></div><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div></div></div><h2>Market-1501 ...</h2>
-<p>(PAGE UNDER DEVELOPMENT)</p>
+  </div></div><p>[ PAGE UNDER DEVELOPMENT]</p>
 </section><section>
+  <h3>Who used Market 1501?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
 	
 	<h3>Biometric Trade Routes</h3>
-<!-- 
-	<div class="map-sidebar right-sidebar">
-	  <h3>Legend</h3>
-	  <ul>
-	    <li><span style="color: #f2f293">&#9632;</span> Industry</li>
-	    <li><span style="color: #f30000">&#9632;</span> Academic</li>
-	    <li><span style="color: #3264f6">&#9632;</span> Government</li>
-	  </ul>
-	</div>
-	 -->
+
 	<p>
-		To help understand how Market 1501 has been used around the world for commercial, military and academic research; publicly available research citing Market 1501 Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
+		To help understand how Market 1501 has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Market 1501 Dataset was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
 	</p>
  
  </section>
 
 <section class="applet_container fullwidth">
  <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
-
 </section>
 
 <div class="caption">
@@ -73,25 +82,12 @@
 	<li class="edu">Academic</li>
 	<li class="com">Commercial</li>
 	<li class="gov">Military / Government</li>
-	<li class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</li>
 	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
 </div>
 
-<!-- <section>
-	<p class='subp'>
-		[section under development] Market 1501 ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.
-	</p>
-</section>
- --><section>
 
-  <div class="hr-wave-holder">
-      <div class="hr-wave-line hr-wave-line1"></div>
-      <div class="hr-wave-line hr-wave-line2"></div>
-  </div>
-
-  <h3>Supplementary Information</h3>
-  
-</section><section class="applet_container">
+<section class="applet_container">
 
   <h3>Dataset Citations</h3>
   <p>
@@ -99,7 +95,7 @@
   </p>
 
   <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
-</section><section><h2>Research Notes</h2>
+</section><section><h2>(ignore) research Notes</h2>
 <ul>
 <li>"MARS is an extension of the Market-1501 dataset. During collection, we placed six near synchronized cameras in the campus of Tsinghua university. There were Five 1,080<em>1920 HD cameras and one 640</em>480 SD camera. MARS consists of 1,261 different pedestrians whom are captured by at least 2 cameras. Given a query tracklet, MARS aims to retrieve tracklets that contain the same ID." - main paper</li>
 <li>bbox "0065C1T0002F0016.jpg", "0065" is the ID of the pedestrian. "C1" denotes the first
@@ -118,18 +114,17 @@ organization={Springer}
 
   </div>
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-    <div>
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-      <a href="https://ahprojects.com">ahprojects.com</a>
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+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
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+      <li><a href="/about/legal/">Legal and Privacy</a></li>
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+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
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 </body>
 
diff --git a/site/public/datasets/msceleb/index.html b/site/public/datasets/msceleb/index.html
index fb08c737..86741647 100644
--- a/site/public/datasets/msceleb/index.html
+++ b/site/public/datasets/msceleb/index.html
@@ -17,7 +17,7 @@
     <a class='slogan' href="/">
       <div class='logo'></div>
       <div class='site_name'>MegaPixels</div>
-      <div class='splash'>MsCeleb</div>
+      <div class='splash'>Microsoft Celeb</div>
     </a>
     <div class='links'>
       <a href="/datasets/">Datasets</a>
@@ -27,7 +27,8 @@
   <div class="content content-dataset">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/msceleb/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'>MS Celeb is a dataset of web images used for training and evaluating face recognition algorithms</span></div><div class='hero_subdesc'><span class='bgpad'>The MS Celeb dataset includes over 10,000,000 images and 93,000 identities of semi-public figures collected using the Bing search engine
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'>
+</span></div></div></section><section><h2>Microsoft Celeb Dataset (MS Celeb)</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
     <div class='gray'>Published</div>
     <div>2016</div>
   </div><div class='meta'>
@@ -48,12 +49,10 @@
   </div><div class='meta'>
     <div class='gray'>Website</div>
     <div><a href='http://www.msceleb.org/' target='_blank' rel='nofollow noopener'>msceleb.org</a></div>
-  </div><div class='meta'><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div><div><div class='gray'>Created by</div><div>TBD</div></div></div></div><h2>Microsoft Celeb Dataset (MS Celeb)</h2>
-<p>(PAGE UNDER DEVELOPMENT)</p>
-<p>At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio.</p>
-<p>Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat</p>
+  </div></div><p><a href="https://www.hrw.org/news/2019/01/15/letter-microsoft-face-surveillance-technology">https://www.hrw.org/news/2019/01/15/letter-microsoft-face-surveillance-technology</a></p>
+<p><a href="https://www.scmp.com/tech/science-research/article/3005733/what-you-need-know-about-sensenets-facial-recognition-firm">https://www.scmp.com/tech/science-research/article/3005733/what-you-need-know-about-sensenets-facial-recognition-firm</a></p>
 </section><section>
-  <h3>Who used MsCeleb?</h3>
+  <h3>Who used Microsoft Celeb?</h3>
 
   <p>
     This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
@@ -65,30 +64,24 @@
 <!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
 </div> -->
  <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
-</section><section class="applet_container">
+</section>
+
+<section class="applet_container">
  <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
-</section><section>
+</section>
+
+<section>
 	
 	<h3>Biometric Trade Routes</h3>
-<!-- 
-	<div class="map-sidebar right-sidebar">
-	  <h3>Legend</h3>
-	  <ul>
-	    <li><span style="color: #f2f293">&#9632;</span> Industry</li>
-	    <li><span style="color: #f30000">&#9632;</span> Academic</li>
-	    <li><span style="color: #3264f6">&#9632;</span> Government</li>
-	  </ul>
-	</div>
-	 -->
+
 	<p>
-		To help understand how MsCeleb has been used around the world for commercial, military and academic research; publicly available research citing Microsoft Celebrity Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
+		To help understand how Microsoft Celeb has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Microsoft Celebrity Dataset was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
 	</p>
  
  </section>
 
 <section class="applet_container fullwidth">
  <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
-
 </section>
 
 <div class="caption">
@@ -96,26 +89,12 @@
 	<li class="edu">Academic</li>
 	<li class="com">Commercial</li>
 	<li class="gov">Military / Government</li>
-	<li class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</li>
 	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
 </div>
 
-<!-- <section>
-	<p class='subp'>
-		[section under development] MsCeleb ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.
-	</p>
-</section>
- --><section><p>Add more analysis here</p>
-</section><section>
 
-  <div class="hr-wave-holder">
-      <div class="hr-wave-line hr-wave-line1"></div>
-      <div class="hr-wave-line hr-wave-line2"></div>
-  </div>
-
-  <h3>Supplementary Information</h3>
-  
-</section><section class="applet_container">
+<section class="applet_container">
 
   <h3>Dataset Citations</h3>
   <p>
@@ -123,29 +102,37 @@
   </p>
 
   <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
+</section><section>
+
+  <div class="hr-wave-holder">
+      <div class="hr-wave-line hr-wave-line1"></div>
+      <div class="hr-wave-line hr-wave-line2"></div>
+  </div>
+
+  <h2>Supplementary Information</h2>
+  
 </section><section><h3>Additional Information</h3>
 <ul>
 <li>The dataset author spoke about his research at the CVPR conference in 2016 <a href="https://www.youtube.com/watch?v=Nl2fBKxwusQ">https://www.youtube.com/watch?v=Nl2fBKxwusQ</a></li>
 </ul>
-</section><section><ul class="footnotes"><li><a name="[^readme]" class="footnote_shim"></a><span class="backlinks"></span><p>"readme.txt" <a href="https://exhibits.stanford.edu/data/catalog/sx925dc9385">https://exhibits.stanford.edu/data/catalog/sx925dc9385</a>.</p>
+</section><section><h3>References</h3><section><ul class="footnotes"><li><a name="[^readme]" class="footnote_shim"></a><span class="backlinks"></span><p>"readme.txt" <a href="https://exhibits.stanford.edu/data/catalog/sx925dc9385">https://exhibits.stanford.edu/data/catalog/sx925dc9385</a>.</p>
 </li><li><a name="[^localized_region_context]" class="footnote_shim"></a><span class="backlinks"></span><p>Li, Y. and Dou, Y. and Liu, X. and Li, T. Localized Region Context and Object Feature Fusion for People Head Detection. ICIP16 Proceedings. 2016. Pages 594-598.</p>
 </li><li><a name="[^replacement_algorithm]" class="footnote_shim"></a><span class="backlinks"></span><p>Zhao. X, Wang Y, Dou, Y. A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering.</p>
-</li></ul></section>
+</li></ul></section></section>
 
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-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
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+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
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+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
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diff --git a/site/public/datasets/oxford_town_centre/index.html b/site/public/datasets/oxford_town_centre/index.html
new file mode 100644
index 00000000..03d8934b
--- /dev/null
+++ b/site/public/datasets/oxford_town_centre/index.html
@@ -0,0 +1,156 @@
+<!doctype html>
+<html>
+<head>
+  <title>MegaPixels</title>
+  <meta charset="utf-8" />
+  <meta name="author" content="Adam Harvey" />
+  <meta name="description" content="Oxford Town Centre is a dataset of surveillance camera footage from Cornmarket St Oxford, England" />
+  <meta name="referrer" content="no-referrer" />
+  <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+  <link rel='stylesheet' href='/assets/css/fonts.css' />
+  <link rel='stylesheet' href='/assets/css/css.css' />
+  <link rel='stylesheet' href='/assets/css/leaflet.css' />
+  <link rel='stylesheet' href='/assets/css/applets.css' />
+</head>
+<body>
+  <header>
+    <a class='slogan' href="/">
+      <div class='logo'></div>
+      <div class='site_name'>MegaPixels</div>
+      <div class='splash'>TownCentre</div>
+    </a>
+    <div class='links'>
+      <a href="/datasets/">Datasets</a>
+      <a href="/about/">About</a>
+    </div>
+  </header>
+  <div class="content content-dataset">
+    
+  <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/oxford_town_centre/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'>Oxford Town Centre is a dataset of surveillance camera footage from Cornmarket St Oxford, England</span></div><div class='hero_subdesc'><span class='bgpad'>The Oxford Town Centre dataset includes approximately 2,200 identities and is used for research and development of face recognition systems
+</span></div></div></section><section><h2>Oxford Town Centre</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
+    <div class='gray'>Published</div>
+    <div>2009</div>
+  </div><div class='meta'>
+    <div class='gray'>Videos</div>
+    <div>1 </div>
+  </div><div class='meta'>
+    <div class='gray'>Identities</div>
+    <div>2,200 </div>
+  </div><div class='meta'>
+    <div class='gray'>Purpose</div>
+    <div>Person detection, gaze estimation</div>
+  </div><div class='meta'>
+    <div class='gray'>Funded by</div>
+    <div>EU FP6 Hermes project and Oxford Risk </div>
+  </div><div class='meta'>
+    <div class='gray'>Download Size</div>
+    <div>0.147 GB</div>
+  </div><div class='meta'>
+    <div class='gray'>Website</div>
+    <div><a href='http://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/project.html' target='_blank' rel='nofollow noopener'>ox.ac.uk</a></div>
+  </div></div><p>The Oxford Town Centre dataset is a CCTV video of pedestrians in a busy downtown area in Oxford used for research and development of activity and face recognition systems.<a class="footnote_shim" name="[^ben_benfold_orig]_1"> </a><a href="#[^ben_benfold_orig]" class="footnote" title="Footnote 1">1</a> The CCTV video was obtained from a public surveillance camera at the corner of Cornmarket and Market St. in Oxford, England and includes approximately 2,200 people. Since its publication in 2009<a class="footnote_shim" name="[^guiding_surveillance]_1"> </a><a href="#[^guiding_surveillance]" class="footnote" title="Footnote 2">2</a> the Oxford Town Centre dataset has been used in over 80 verified research projects including commercial research by Amazon, Disney, OSRAM, and Huawei; and academic research in China, Israel, Russia, Singapore, the US, and Germany among dozens more.</p>
+<p>The Oxford Town Centre dataset is unique in that it uses footage from a public surveillance camera that would otherwise be designated for public safety. The video shows that the pedestrians act normally and unrehearsed indicating they neither knew of or consented to participation in the research project.</p>
+</section><section>
+  <h3>Who used TownCentre?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
+	
+	<h3>Biometric Trade Routes</h3>
+
+	<p>
+		To help understand how TownCentre has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Oxford Town Centre was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
+	</p>
+ 
+ </section>
+
+<section class="applet_container fullwidth">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
+</section>
+
+<div class="caption">
+	<ul class="map-legend">
+	<li class="edu">Academic</li>
+	<li class="com">Commercial</li>
+	<li class="gov">Military / Government</li>
+	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
+</div>
+
+
+<section class="applet_container">
+
+  <h3>Dataset Citations</h3>
+  <p>
+    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
+  </p>
+
+  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
+</section><section>
+
+  <div class="hr-wave-holder">
+      <div class="hr-wave-line hr-wave-line1"></div>
+      <div class="hr-wave-line hr-wave-line2"></div>
+  </div>
+
+  <h2>Supplementary Information</h2>
+  
+</section><section><h3>Location</h3>
+<p>The street location of the camera used for the Oxford Town Centre dataset was confirmed by matching the road, benches, and store signs <a href="https://www.google.com/maps/@51.7528162,-1.2581152,3a,50.3y,310.59h,87.23t/data=!3m7!1e1!3m5!1s3FsGN-PqYC-VhQGjWgmBdQ!2e0!5s20120601T000000!7i13312!8i6656">source</a>. At that location, two public CCTV cameras exist mounted on the side of the Northgate House building at 13-20 Cornmarket St. Because of the lower camera's mounting pole directionality, a view from a private camera in the building across the street can be ruled out because it would have to show more of silhouette of the lower camera's mounting pole. Two options remain: either the public CCTV camera mounted to the side of the building was used or the researchers mounted their own camera to the side of the building in the same location. Because the researchers used many other existing public CCTV cameras for their <a href="http://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/project.html">research projects</a> it is likely that they would also be able to access to this camera.</p>
+<p>To discredit the theory that this public CCTV is only seen pointing the other way in Google Street View images, at least one public photo shows the upper CCTV camera <a href="https://www.oxcivicsoc.org.uk/northgate-house-cornmarket/">pointing in the same direction</a> as the Oxford Town Centre dataset proving the camera can and has been rotated before.</p>
+<p>As for the capture date, the text on the storefront display shows a sale happening from December 2nd &ndash; 7th indicating the capture date was between or just before those dates. The capture year is either 2008 or 2007 since prior to 2007 the Carphone Warehouse (<a href="https://www.flickr.com/photos/katieportwin/364492063/in/photolist-4meWFE-yd7rw-yd7X6-5sDHuc-yd7DN-59CpEK-5GoHAc-yd7Zh-3G2uJP-yd7US-5GomQH-4peYpq-4bAEwm-PALEr-58RkAp-5pHEkf-5v7fGq-4q1J9W-4kypQ2-5KX2Eu-yd7MV-yd7p6-4McgWb-5pJ55w-24N9gj-37u9LK-4FVcKQ-a81Enz-5qNhTG-59CrMZ-2yuwYM-5oagH5-59CdsP-4FVcKN-4PdxhC-5Lhr2j-2PAd2d-5hAwvk-zsQSG-4Cdr4F-3dUPEi-9B1RZ6-2hv5NY-4G5qwP-HCHBW-4JiuC4-4Pdr9Y-584aEV-2GYBEc-HCPkp/">photo</a>, <a href="http://www.oxfordhistory.org.uk/cornmarket/west/47_51.html">history</a>) did not exist at this location. Since the sweaters in the GAP window display are more similar to those in a <a href="web.archive.org/web/20081201002524/http://www.gap.com/">GAP website snapshot</a> from November 2007, our guess is that the footage was obtained during late November or early December 2007. The lack of street vendors and slight waste residue near the bench suggests that is was probably a weekday after rubbish removal.</p>
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/oxford_town_centre/assets/oxford_town_centre_cctv.jpg' alt=' Footage from this public CCTV camera was used to create the Oxford Town Centre dataset. Image sources: Google Street View (<a href="https://www.google.com/maps/@51.7528162,-1.2581152,3a,50.3y,310.59h,87.23t/data=!3m7!1e1!3m5!1s3FsGN-PqYC-VhQGjWgmBdQ!2e0!5s20120601T000000!7i13312!8i6656">map</a>)'><div class='caption'> Footage from this public CCTV camera was used to create the Oxford Town Centre dataset. Image sources: Google Street View (<a href="https://www.google.com/maps/@51.7528162,-1.2581152,3a,50.3y,310.59h,87.23t/data=!3m7!1e1!3m5!1s3FsGN-PqYC-VhQGjWgmBdQ!2e0!5s20120601T000000!7i13312!8i6656">map</a>)</div></div></section><section><div class='columns columns-'><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/oxford_town_centre/assets/oxford_town_centre_sal_body.jpg' alt=' Heat map body visualization of the pedestrians detected in the Oxford Town Centre dataset &copy; megapixels.cc'><div class='caption'> Heat map body visualization of the pedestrians detected in the Oxford Town Centre dataset &copy; megapixels.cc</div></div></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/oxford_town_centre/assets/oxford_town_centre_sal_face.jpg' alt=' Heat map face visualization of the pedestrians detected in the Oxford Town Centre dataset &copy; megapixels.cc'><div class='caption'> Heat map face visualization of the pedestrians detected in the Oxford Town Centre dataset &copy; megapixels.cc</div></div></section></div></section><section>
+
+  <h4>Cite Our Work</h4>
+  <p>
+  	
+  	If you use our data, research, or graphics please cite our work:
+
+<pre id="cite-bibtex">
+@online{megapixels,
+  author = {Harvey, Adam. LaPlace, Jules.},
+  title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
+  year = 2019,
+  url = {https://megapixels.cc/},
+  urldate = {2019-04-18}
+}</pre>
+
+	</p>
+</section><section><h3>References</h3><section><ul class="footnotes"><li><a name="[^ben_benfold_orig]" class="footnote_shim"></a><span class="backlinks"><a href="#[^ben_benfold_orig]_1">a</a></span><p>Benfold, Ben and Reid, Ian. "Stable Multi-Target Tracking in Real-Time Surveillance Video". CVPR 2011. Pages 3457-3464.</p>
+</li><li><a name="[^guiding_surveillance]" class="footnote_shim"></a><span class="backlinks"><a href="#[^guiding_surveillance]_1">a</a></span><p>"Guiding Visual Surveillance by Tracking Human Attention". 2009.</p>
+</li></ul></section></section>
+
+  </div>
+  <footer>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
+      <li><a href="/datasets/">Datasets</a></li>
+      <li><a href="/about/">About</a></li>
+      <li><a href="/about/press/">Press</a></li>
+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
+  </footer>
+</body>
+
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diff --git a/site/public/datasets/pipa/index.html b/site/public/datasets/pipa/index.html
index 27168c5c..ae8aef6d 100644
--- a/site/public/datasets/pipa/index.html
+++ b/site/public/datasets/pipa/index.html
@@ -4,7 +4,7 @@
   <title>MegaPixels</title>
   <meta charset="utf-8" />
   <meta name="author" content="Adam Harvey" />
-  <meta name="description" content=" is a dataset..." />
+  <meta name="description" content=" People in Photo Albums (PIPA) is a dataset..." />
   <meta name="referrer" content="no-referrer" />
   <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
   <link rel='stylesheet' href='/assets/css/fonts.css' />
@@ -17,7 +17,7 @@
     <a class='slogan' href="/">
       <div class='logo'></div>
       <div class='site_name'>MegaPixels</div>
-      <div class='splash'>PIPA</div>
+      <div class='splash'>PIPA Dataset</div>
     </a>
     <div class='links'>
       <a href="/datasets/">Datasets</a>
@@ -26,8 +26,9 @@
   </header>
   <div class="content content-dataset">
     
-  <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/pipa/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name"> is a dataset...</span></div><div class='hero_subdesc'><span class='bgpad'>PIPA subdescription
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'>
+  <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/pipa/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name"> People in Photo Albums (PIPA)</span> is a dataset...</span></div><div class='hero_subdesc'><span class='bgpad'>[ add subdescrition ]
+</span></div></div></section><section><h2>People in Photo Albums</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
     <div class='gray'>Published</div>
     <div>2015</div>
   </div><div class='meta'>
@@ -45,30 +46,38 @@
   </div><div class='meta'>
     <div class='gray'>Website</div>
     <div><a href='https://people.eecs.berkeley.edu/~nzhang/piper.html' target='_blank' rel='nofollow noopener'>berkeley.edu</a></div>
-  </div><div class='meta'><div><div class='gray'>Collected</div><div>TBD</div></div><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div></div></div><h2>Dataset Title TBD</h2>
-<p>(PAGE UNDER DEVELOPMENT)</p>
+  </div></div><p>[ PAGE UNDER DEVELOPMENT ]</p>
 </section><section>
+  <h3>Who used PIPA Dataset?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
 	
 	<h3>Biometric Trade Routes</h3>
-<!-- 
-	<div class="map-sidebar right-sidebar">
-	  <h3>Legend</h3>
-	  <ul>
-	    <li><span style="color: #f2f293">&#9632;</span> Industry</li>
-	    <li><span style="color: #f30000">&#9632;</span> Academic</li>
-	    <li><span style="color: #3264f6">&#9632;</span> Government</li>
-	  </ul>
-	</div>
-	 -->
+
 	<p>
-		To help understand how PIPA Dataset has been used around the world for commercial, military and academic research; publicly available research citing People in Photo Albums Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
+		To help understand how PIPA Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing People in Photo Albums Dataset was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
 	</p>
  
  </section>
 
 <section class="applet_container fullwidth">
  <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
-
 </section>
 
 <div class="caption">
@@ -76,25 +85,12 @@
 	<li class="edu">Academic</li>
 	<li class="com">Commercial</li>
 	<li class="gov">Military / Government</li>
-	<li class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</li>
 	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
 </div>
 
-<!-- <section>
-	<p class='subp'>
-		[section under development] PIPA Dataset ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.
-	</p>
-</section>
- --><section>
 
-  <div class="hr-wave-holder">
-      <div class="hr-wave-line hr-wave-line1"></div>
-      <div class="hr-wave-line hr-wave-line2"></div>
-  </div>
-
-  <h3>Supplementary Information</h3>
-  
-</section><section class="applet_container">
+<section class="applet_container">
 
   <h3>Dataset Citations</h3>
   <p>
@@ -102,23 +98,21 @@
   </p>
 
   <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
-</section><section><h2>Research Notes</h2>
 </section>
 
   </div>
   <footer>
-    <div>
-      <a href="/">MegaPixels.cc</a>
-      <a href="/about/disclaimer/">Disclaimer</a>
-      <a href="/about/terms/">Terms of Use</a>
-      <a href="/about/privacy/">Privacy</a>
-      <a href="/about/">About</a>
-      <a href="/about/team/">Team</a>
-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
+      <li><a href="/datasets/">Datasets</a></li>
+      <li><a href="/about/">About</a></li>
+      <li><a href="/about/press/">Press</a></li>
+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
   </footer>
 </body>
 
diff --git a/site/public/datasets/pubfig/index.html b/site/public/datasets/pubfig/index.html
new file mode 100644
index 00000000..ef289954
--- /dev/null
+++ b/site/public/datasets/pubfig/index.html
@@ -0,0 +1,117 @@
+<!doctype html>
+<html>
+<head>
+  <title>MegaPixels</title>
+  <meta charset="utf-8" />
+  <meta name="author" content="Adam Harvey" />
+  <meta name="description" content="PubFig is a dataset..." />
+  <meta name="referrer" content="no-referrer" />
+  <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+  <link rel='stylesheet' href='/assets/css/fonts.css' />
+  <link rel='stylesheet' href='/assets/css/css.css' />
+  <link rel='stylesheet' href='/assets/css/leaflet.css' />
+  <link rel='stylesheet' href='/assets/css/applets.css' />
+</head>
+<body>
+  <header>
+    <a class='slogan' href="/">
+      <div class='logo'></div>
+      <div class='site_name'>MegaPixels</div>
+      <div class='splash'>PubFig</div>
+    </a>
+    <div class='links'>
+      <a href="/datasets/">Datasets</a>
+      <a href="/about/">About</a>
+    </div>
+  </header>
+  <div class="content content-dataset">
+    
+  <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/pubfig/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">PubFig</span> is a dataset...</span></div><div class='hero_subdesc'><span class='bgpad'>[ add subdescrition ]
+</span></div></div></section><section><h2>PubFig</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
+    <div class='gray'>Published</div>
+    <div>2009</div>
+  </div><div class='meta'>
+    <div class='gray'>Images</div>
+    <div>58,797 </div>
+  </div><div class='meta'>
+    <div class='gray'>Identities</div>
+    <div>200 </div>
+  </div><div class='meta'>
+    <div class='gray'>Purpose</div>
+    <div>mostly names from LFW but includes new names. large variation in pose, lighting, expression, scene, camera, imaging conditions and parameters</div>
+  </div><div class='meta'>
+    <div class='gray'>Website</div>
+    <div><a href='http://www.cs.columbia.edu/CAVE/databases/pubfig/' target='_blank' rel='nofollow noopener'>columbia.edu</a></div>
+  </div></div><p>[ PAGE UNDER DEVELOPMENT ]</p>
+</section><section>
+  <h3>Who used PubFig?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
+	
+	<h3>Biometric Trade Routes</h3>
+
+	<p>
+		To help understand how PubFig has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Public Figures Face Dataset was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
+	</p>
+ 
+ </section>
+
+<section class="applet_container fullwidth">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
+</section>
+
+<div class="caption">
+	<ul class="map-legend">
+	<li class="edu">Academic</li>
+	<li class="com">Commercial</li>
+	<li class="gov">Military / Government</li>
+	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
+</div>
+
+
+<section class="applet_container">
+
+  <h3>Dataset Citations</h3>
+  <p>
+    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
+  </p>
+
+  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
+</section>
+
+  </div>
+  <footer>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
+      <li><a href="/datasets/">Datasets</a></li>
+      <li><a href="/about/">About</a></li>
+      <li><a href="/about/press/">Press</a></li>
+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
+  </footer>
+</body>
+
+<script src="/assets/js/dist/index.js"></script>
+</html>
\ No newline at end of file
diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html
index 593ac498..3652e329 100644
--- a/site/public/datasets/uccs/index.html
+++ b/site/public/datasets/uccs/index.html
@@ -4,7 +4,7 @@
   <title>MegaPixels</title>
   <meta charset="utf-8" />
   <meta name="author" content="Adam Harvey" />
-  <meta name="description" content="Unconstrained College Students (UCCS) is a dataset of long-range surveillance photos of students taken without their knowledge" />
+  <meta name="description" content="UnConstrained College Students is a dataset of long-range surveillance photos of students on University of Colorado in Colorado Springs campus" />
   <meta name="referrer" content="no-referrer" />
   <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
   <link rel='stylesheet' href='/assets/css/fonts.css' />
@@ -26,10 +26,11 @@
   </header>
   <div class="content content-dataset">
     
-  <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">Unconstrained College Students (UCCS)</span> is a dataset of long-range surveillance photos of students taken without their knowledge</span></div><div class='hero_subdesc'><span class='bgpad'>The UCCS dataset includes 16,149 images and 1,732 identities of students at University of Colorado Colorado Springs campus and is used for face recognition and face detection
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'>
+  <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">UnConstrained College Students</span> is a dataset of long-range surveillance photos of students on University of Colorado in Colorado Springs campus</span></div><div class='hero_subdesc'><span class='bgpad'>The UnConstrained College Students dataset includes 16,149 images of 1,732 students, faculty, and pedestrians and is used for developing face recognition and face detection algorithms
+</span></div></div></section><section><h2>UnConstrained College Students</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
     <div class='gray'>Published</div>
-    <div>2018</div>
+    <div>2016</div>
   </div><div class='meta'>
     <div class='gray'>Images</div>
     <div>16,149 </div>
@@ -48,302 +49,226 @@
   </div><div class='meta'>
     <div class='gray'>Website</div>
     <div><a href='http://vast.uccs.edu/Opensetface/' target='_blank' rel='nofollow noopener'>uccs.edu</a></div>
-  </div><div class='meta'><div><div class='gray'>Published</div><div>2018</div></div><div><div class='gray'>Images</div><div>16,149</div></div><div><div class='gray'>Identities</div><div>1,732</div></div><div><div class='gray'>Used for</div><div>Face recognition, face detection</div></div><div><div class='gray'>Created by</div><div>Unviversity of Colorado Colorado Springs (US)</div></div><div><div class='gray'>Funded by</div><div>ODNI, IARPA, ONR MURI, Amry SBIR, SOCOM SBIR</div></div><div><div class='gray'>Website</div><div><a href="https://vast.uccs.edu/Opensetface/">vast.uccs.edu</a></div></div></div></div><h2>Unconstrained College Students ...</h2>
-<p>(PAGE UNDER DEVELOPMENT)</p>
-<p>Unconstrained College Students (UCCS) is a dataset of long-range surveillance photos captured at University of Colorado Colorado Springs. According to the authors of two papers associated with the dataset, subjects were "photographed using a long-range high-resolution surveillance camera without their knowledge" [^funding_sb]. The images were captured using a Canon 7D digital camera fitted with a Sigma 800mm telephoto lens pointed out the window of an office.</p>
-<p>The UCCS dataset was funded by ODNI (Office of Director of National Intelligence), IARPA (Intelligence Advance Research Projects Activity), ONR MURI Office of Naval Research and The Department of Defense Multidisciplinary University Research Initiative, Army SBIR (Small Business Innovation Research), SOCOM SBIR (Special Operations Command and Small Business Innovation Research), and the National Science Foundation.</p>
-<p>The images in UCCS include students walking between classes on campus over 19 days in 2012 - 2013. The dates include:</p>
+  </div></div><p>UnConstrained College Students (UCCS) is a dataset of long-range surveillance photos captured at University of Colorado Colorado Springs developed primarily for research and development of "face detection and recognition research towards surveillance applications"<a class="footnote_shim" name="[^uccs_vast]_1"> </a><a href="#[^uccs_vast]" class="footnote" title="Footnote 1">1</a>. According to the authors of <a href="https://www.semanticscholar.org/paper/Unconstrained-Face-Detection-and-Open-Set-Face-G%C3%BCnther-Hu/d4f1eb008eb80595bcfdac368e23ae9754e1e745">two</a> <a href="https://www.semanticscholar.org/paper/Large-scale-unconstrained-open-set-face-database-Sapkota-Boult/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1">papers</a> associated with the dataset, over 1,700 students and pedestrians were "photographed using a long-range high-resolution surveillance camera without their knowledge".<a class="footnote_shim" name="[^funding_uccs]_1"> </a><a href="#[^funding_uccs]" class="footnote" title="Footnote 3">3</a> In this investigation, we examine the contents of the <a href="http://vast.uccs.edu/Opensetface/">dataset</a>, its funding sources, photo EXIF data, and information from publicly available research project citations.</p>
+<p>The UCCS dataset includes over 1,700 unique identities, most of which are students walking to and from class. As of 2018, it was the "largest surveillance [face recognition] benchmark in the public domain."<a class="footnote_shim" name="[^surv_face_qmul]_1"> </a><a href="#[^surv_face_qmul]" class="footnote" title="Footnote 4">4</a> The photos were taken during the spring semesters of 2012 &ndash; 2013 on the West Lawn of the University of Colorado Colorado Springs campus. The photographs were timed to capture students during breaks between their scheduled classes in the morning and afternoon during Monday through Thursday. "For example, a student taking Monday-Wednesday classes at 12:30 PM will show up in the camera on almost every Monday and Wednesday."<a class="footnote_shim" name="[^sapkota_boult]_1"> </a><a href="#[^sapkota_boult]" class="footnote" title="Footnote 2">2</a>.</p>
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/uccs_map_aerial.jpg' alt=' The location at University of Colorado Colorado Springs where students were surreptitiously photographed with a long-range surveillance camera for use in a defense and intelligence agency funded research project on face recognition. Image: Google Maps'><div class='caption'> The location at University of Colorado Colorado Springs where students were surreptitiously photographed with a long-range surveillance camera for use in a defense and intelligence agency funded research project on face recognition. Image: Google Maps</div></div></section><section><p>The long-range surveillance images in the UnContsrained College Students dataset were taken using a Canon 7D 18-megapixel digital camera fitted with a Sigma 800mm F5.6 EX APO DG HSM telephoto lens and pointed out an office window across the university's West Lawn. The students were photographed from a distance of approximately 150 meters through an office window. "The camera [was] programmed to start capturing images at specific time intervals between classes to maximize the number of faces being captured."<a class="footnote_shim" name="[^sapkota_boult]_2"> </a><a href="#[^sapkota_boult]" class="footnote" title="Footnote 2">2</a>
+Their setup made it impossible for students to know they were being photographed, providing the researchers with realistic surveillance images to help build face recognition systems for real world applications for defense, intelligence, and commercial partners.</p>
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/uccs_grid.jpg' alt=' Example images from the UnConstrained College Students Dataset. '><div class='caption'> Example images from the UnConstrained College Students Dataset. </div></div></section><section><p>The EXIF data embedded in the images shows that the photo capture times follow a similar pattern to that outlined by the researchers, but also highlights that the vast majority of photos (over 7,000) were taken on Tuesdays around noon during students' lunch break. The lack of any photos taken between Friday through Sunday shows that the researchers were only interested in capturing images of students during the peak campus hours.</p>
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/uccs_exif_plot_days.png' alt=' UCCS photos captured per weekday &copy; megapixels.cc'><div class='caption'> UCCS photos captured per weekday &copy; megapixels.cc</div></div></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/uccs_exif_plot.png' alt=' UCCS photos captured per weekday &copy; megapixels.cc'><div class='caption'> UCCS photos captured per weekday &copy; megapixels.cc</div></div></section><section><p>The two research papers associated with the release of the UCCS dataset (<a href="https://www.semanticscholar.org/paper/Unconstrained-Face-Detection-and-Open-Set-Face-G%C3%BCnther-Hu/d4f1eb008eb80595bcfdac368e23ae9754e1e745">Unconstrained Face Detection and Open-Set Face Recognition Challenge</a> and <a href="https://www.semanticscholar.org/paper/Large-scale-unconstrained-open-set-face-database-Sapkota-Boult/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1">Large Scale Unconstrained Open Set Face Database</a>), acknowledge that the primary funding sources for their work were United States defense and intelligence agencies. Specifically, development of the UnContsrianed College Students dataset was funded by the Intelligence Advanced Research Projects Activity (IARPA), Office of Director of National Intelligence (ODNI), Office of Naval Research and The Department of Defense Multidisciplinary University Research Initiative (ONR MURI), and the Special Operations Command and Small Business Innovation Research (SOCOM SBIR) amongst others. UCCS's VAST site also explicitly <a href="https://vast.uccs.edu/project/iarpa-janus/">states</a> their involvement in the <a href="https://www.iarpa.gov/index.php/research-programs/janus">IARPA Janus</a> face recognition project developed to serve the needs of national intelligence, establishing that immediate benefactors of this dataset include United States defense and intelligence agencies, but it would go on to benefit other similar organizations.</p>
+<p>In 2017, one year after its public release, the UCCS face dataset formed the basis for a defense and intelligence agency funded <a href="http://www.face-recognition-challenge.com/">face recognition challenge</a> project at the International Joint Biometrics Conference in Denver, CO. And in 2018 the dataset was again used for the <a href="https://erodner.github.io/ial2018eccv/">2nd Unconstrained Face Detection and Open Set Recognition Challenge</a> at the European Computer Vision Conference (ECCV) in Munich, Germany.</p>
+<p>As of April 15, 2019, the UCCS dataset is no longer available for public download. But during the three years it was publicly available (2016-2019) the UCCS dataset appeared in at least 6 publicly available research papers including verified usage from Beihang University who is known to provide research and development for China's military; and Vision Semantics Ltd who lists the UK Ministory of Defence as a project partner.</p>
+</section><section>
+  <h3>Who used UCCS?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
+	
+	<h3>Biometric Trade Routes</h3>
+
+	<p>
+		To help understand how UCCS has been used around the world by commercial, military, and academic organizations; existing publicly available research citing UnConstrained College Students Dataset was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
+	</p>
+ 
+ </section>
+
+<section class="applet_container fullwidth">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
+</section>
+
+<div class="caption">
+	<ul class="map-legend">
+	<li class="edu">Academic</li>
+	<li class="com">Commercial</li>
+	<li class="gov">Military / Government</li>
+	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
+</div>
+
+
+<section class="applet_container">
+
+  <h3>Dataset Citations</h3>
+  <p>
+    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
+  </p>
+
+  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
+</section><section>
+
+  <div class="hr-wave-holder">
+      <div class="hr-wave-line hr-wave-line1"></div>
+      <div class="hr-wave-line hr-wave-line2"></div>
+  </div>
+
+  <h2>Supplementary Information</h2>
+  
+</section><section><p>Since this site To show the types of face images used in the UCCS student dataset while protecting their individual privacy, a generative adversarial network was used to interpolate between identities in the dataset. The image below shows a generative adversarial network trained on the UCCS face bounding box areas from 16,000 images and over 90,000 face regions.</p>
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/uccs_pgan_01.jpg' alt=' GAN generated approximations of students in the UCCS dataset. &copy; megapixels.cc 2018'><div class='caption'> GAN generated approximations of students in the UCCS dataset. &copy; megapixels.cc 2018</div></div></section><section><div class='columns columns-2'><div class='column'><h4>UCCS photos taken in 2012</h4>
 <table>
 <thead><tr>
-<th>Year</th>
-<th>Month</th>
-<th>Day</th>
 <th>Date</th>
-<th>Time Range</th>
 <th>Photos</th>
 </tr>
 </thead>
 <tbody>
 <tr>
-<td>2012</td>
-<td>Februay</td>
-<td>---</td>
-<td>23</td>
-<td>-</td>
+<td>Feb 23, 2012</td>
 <td>132</td>
 </tr>
 <tr>
-<td>2012</td>
-<td>March</td>
-<td>---</td>
-<td>6</td>
-<td>-</td>
-<td>-</td>
+<td>March 6, 2012</td>
+<td>288</td>
 </tr>
 <tr>
-<td>2012</td>
-<td>March</td>
-<td>---</td>
-<td>8</td>
-<td>-</td>
-<td>-</td>
+<td>March 8, 2012</td>
+<td>506</td>
 </tr>
 <tr>
-<td>2012</td>
-<td>March</td>
-<td>---</td>
-<td>13</td>
-<td>-</td>
-<td>-</td>
+<td>March 13, 2012</td>
+<td>160</td>
 </tr>
 <tr>
-<td>2012</td>
-<td>Februay</td>
-<td>---</td>
-<td>23</td>
-<td>-</td>
-<td>132</td>
+<td>March 20, 2012</td>
+<td>1,840</td>
 </tr>
 <tr>
-<td>2012</td>
-<td>March</td>
-<td>---</td>
-<td>6</td>
-<td>-</td>
-<td>-</td>
+<td>March 22, 2012</td>
+<td>445</td>
 </tr>
 <tr>
-<td>2012</td>
-<td>March</td>
-<td>---</td>
-<td>8</td>
-<td>-</td>
-<td>-</td>
+<td>April 3, 2012</td>
+<td>1,639</td>
 </tr>
 <tr>
-<td>2012</td>
-<td>March</td>
-<td>---</td>
-<td>13</td>
-<td>-</td>
-<td>-</td>
+<td>April 12, 2012</td>
+<td>14</td>
 </tr>
 <tr>
-<td>2012</td>
-<td>Februay</td>
-<td>---</td>
-<td>23</td>
-<td>-</td>
-<td>132</td>
+<td>April 17, 2012</td>
+<td>19</td>
 </tr>
 <tr>
-<td>2012</td>
-<td>March</td>
-<td>---</td>
-<td>6</td>
-<td>-</td>
-<td>-</td>
+<td>April 24, 2012</td>
+<td>63</td>
 </tr>
 <tr>
-<td>2012</td>
-<td>March</td>
-<td>---</td>
-<td>8</td>
-<td>-</td>
-<td>-</td>
+<td>April 25, 2012</td>
+<td>11</td>
 </tr>
 <tr>
-<td>2012</td>
-<td>March</td>
-<td>---</td>
-<td>13</td>
-<td>-</td>
-<td>-</td>
+<td>April 26, 2012</td>
+<td>20</td>
 </tr>
-<tr>
-<td>2012</td>
-<td>Februay</td>
-<td>---</td>
-<td>23</td>
-<td>-</td>
-<td>132</td>
+</tbody>
+</table>
+</div><div class='column'><h4>UCCS photos taken in 2013</h4>
+<table>
+<thead><tr>
+<th>Date</th>
+<th>Photos</th>
 </tr>
+</thead>
+<tbody>
 <tr>
-<td>2012</td>
-<td>March</td>
-<td>---</td>
-<td>6</td>
-<td>-</td>
-<td>-</td>
+<td>Jan 28, 2013</td>
+<td>1,056</td>
 </tr>
 <tr>
-<td>2012</td>
-<td>March</td>
-<td>---</td>
-<td>8</td>
-<td>-</td>
-<td>-</td>
+<td>Jan 29, 2013</td>
+<td>1,561</td>
 </tr>
 <tr>
-<td>2012</td>
-<td>March</td>
-<td>---</td>
-<td>13</td>
-<td>-</td>
-<td>-</td>
+<td>Feb 13, 2013</td>
+<td>739</td>
 </tr>
 <tr>
-<td>2012</td>
-<td>Februay</td>
-<td>---</td>
-<td>23</td>
-<td>-</td>
-<td>132</td>
+<td>Feb 19, 2013</td>
+<td>723</td>
 </tr>
 <tr>
-<td>2012</td>
-<td>March</td>
-<td>---</td>
-<td>6</td>
-<td>-</td>
-<td>-</td>
+<td>Feb 20, 2013</td>
+<td>965</td>
 </tr>
 <tr>
-<td>2012</td>
-<td>March</td>
-<td>---</td>
-<td>8</td>
-<td>-</td>
-<td>-</td>
+<td>Feb 26, 2013</td>
+<td>736</td>
 </tr>
 </tbody>
 </table>
-<p>2012-03-20
-2012-03-22
-2012-04-03
-2012-04-12
-2012-04-17
-2012-04-24
-2012-04-25
-2012-04-26
-2013-01-28
-2013-01-29
-2013-02-13
-2013-02-19
-2013-02-20
-2013-02-26</p>
-</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/uccs_mean_bboxes_comp.jpg' alt=' The pixel-average of all Uconstrained College Students images is shown with all 51,838 face annotations. (c) Adam Harvey'><div class='caption'> The pixel-average of all Uconstrained College Students images is shown with all 51,838 face annotations. (c) Adam Harvey</div></div></section><section>
-	
-	<h3>Biometric Trade Routes</h3>
-<!-- 
-	<div class="map-sidebar right-sidebar">
-	  <h3>Legend</h3>
-	  <ul>
-	    <li><span style="color: #f2f293">&#9632;</span> Industry</li>
-	    <li><span style="color: #f30000">&#9632;</span> Academic</li>
-	    <li><span style="color: #3264f6">&#9632;</span> Government</li>
-	  </ul>
-	</div>
-	 -->
-	<p>
-		To help understand how UCCS has been used around the world for commercial, military and academic research; publicly available research citing UnConstrained College Students Dataset is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
-	</p>
- 
- </section>
-
-<section class="applet_container fullwidth">
- <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
-
-</section>
-
-<div class="caption">
-	<ul class="map-legend">
-	<li class="edu">Academic</li>
-	<li class="com">Commercial</li>
-	<li class="gov">Military / Government</li>
-	<li class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</li>
-	</ul>
-</div>
-
-<!-- <section>
-	<p class='subp'>
-		[section under development] UCCS ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.
-	</p>
-</section>
- --><section>
-  <h3>Who used UCCS?</h3>
-
-  <p>
-    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
-  </p>
- 
- </section>
-
-<section class="applet_container">
-<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
-</div> -->
- <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
-</section><section class="applet_container">
- <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
-</section><section class="applet_container">
-
-  <h3>Dataset Citations</h3>
-  <p>
-    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
-  </p>
-
-  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
-</section><section>
-
-  <div class="hr-wave-holder">
-      <div class="hr-wave-line hr-wave-line1"></div>
-      <div class="hr-wave-line hr-wave-line2"></div>
-  </div>
-
-  <h3>Supplementary Information</h3>
-  
-</section><section><p>The original Sapkota and Boult dataset, from which UCCS is derived, received funding from<sup class="footnote-ref" id="fnref-funding_sb"><a href="#fn-funding_sb">1</a></sup>:</p>
+</div></div></section><section><h3>Location</h3>
+<p>The location of the camera and subjects was confirmed using several visual cues in the dataset images: the unique pattern of the sidewalk that is only used on the UCCS Pedestrian Spine near the West Lawn, the two UCCS sign poles with matching graphics still visible in Google Street View, the no parking sign and directionality of its arrow, the back of street sign next to it, the slight bend in the sidewalk, the presence of cars passing in the background of the image, and the far wall of the parking garage all match images in the dataset. The <a href="https://www.semanticscholar.org/paper/Large-scale-unconstrained-open-set-face-database-Sapkota-Boult/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1">original papers</a> also provides another clue: a <a href="https://www.semanticscholar.org/paper/Large-scale-unconstrained-open-set-face-database-Sapkota-Boult/07fcbae86f7a3ad3ea1cf95178459ee9eaf77cb1/figure/1">picture of the camera</a> inside the office that was used to create the dataset. The window view in this image provides another match for the brick pattern on the north facade of the Kraember Family Library and the green metal fence along the sidewalk. View the <a href="https://www.google.com/maps/place/University+of+Colorado+Colorado+Springs/@38.8934297,-104.7992445,27a,35y,258.51h,75.06t/data=!3m1!1e3!4m5!3m4!1s0x87134fa088fe399d:0x92cadf3962c058c4!8m2!3d38.8968312!4d-104.8049528">location on Google Maps</a></p>
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/uccs_map_3d.jpg' alt=' 3D view showing the angle of view of the surveillance camera used for UCCS dataset. Image: Google Maps'><div class='caption'> 3D view showing the angle of view of the surveillance camera used for UCCS dataset. Image: Google Maps</div></div></section><section><h3>Funding</h3>
+<p>The UnConstrained College Students dataset is associated with two main research papers: "Large Scale Unconstrained Open Set Face Database" and "Unconstrained Face Detection and Open-Set Face Recognition Challenge". Collectively, these papers and the creation of the dataset have received funding from the following organizations:</p>
 <ul>
 <li>ONR (Office of Naval Research) MURI (The Department of Defense Multidisciplinary University Research Initiative) grant N00014-08-1-0638</li>
 <li>Army SBIR (Small Business Innovation Research) grant W15P7T-12-C-A210</li>
 <li>SOCOM (Special Operations Command) SBIR (Small Business Innovation Research) grant H92222-07-P-0020</li>
-</ul>
-<p>The more recent UCCS version of the dataset received funding from <sup class="footnote-ref" id="fnref-funding_uccs"><a href="#fn-funding_uccs">2</a></sup>:</p>
-<ul>
 <li>National Science Foundation Grant IIS-1320956</li>
 <li>ODNI (Office of Director of National Intelligence)</li>
 <li>IARPA (Intelligence Advance Research Projects Activity) R&amp;D contract 2014-14071600012</li>
 </ul>
-<h3>TODO</h3>
+<h3>Opting Out</h3>
+<p>If you attended University of Colorado Colorado Springs and were captured by the long range surveillance camera used to create this dataset, there is unfortunately currently no way to be removed. The authors do not provide any options for students to opt-out nor were students informed they would be used for training face recognition. According to the authors, the lack of any consent or knowledge of participation is what provides part of the value of Unconstrained College Students Dataset.</p>
+<h3>Ethics</h3>
 <ul>
-<li>add tabulator module for dates</li>
-<li>parse dates into CSV using Python</li>
-<li>get google image showing line of sight?</li>
-<li>fix up quote/citations</li>
+<li>Please direct any questions about the ethics of the dataset to the University of Colorado Colorado Springs <a href="https://www.uccs.edu/compliance/">Ethics and Compliance Office</a></li>
+<li>For further technical information about the UnConstrained College Students dataset, visit the <a href="https://vast.uccs.edu/Opensetface">UCCS dataset project page</a>. </li>
 </ul>
-<h3>footnotes</h3>
-<div class="footnotes">
-<hr>
-<ol><li id="fn-funding_sb"><p>Sapkota, Archana and Boult, Terrance. "Large Scale Unconstrained Open Set Face Database." 2013.<a href="#fnref-funding_sb" class="footnote">&#8617;</a></p></li>
-<li id="fn-funding_uccs"><p>Günther, M. et. al. "Unconstrained Face Detection and Open-Set Face Recognition Challenge," 2018. Arxiv 1708.02337v3.<a href="#fnref-funding_uccs" class="footnote">&#8617;</a></p></li>
-</ol>
-</div>
-</section>
+<h3>Downloads</h3>
+<ul>
+<li>Download EXIF data for UCCS photos: <a href="https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/uccs_camera_exif.csv">uccs_camera_exif.csv</a></li>
+</ul>
+</section><section>
+
+  <h4>Cite Our Work</h4>
+  <p>
+  	
+  	If you use our data, research, or graphics please cite our work:
+
+<pre id="cite-bibtex">
+@online{megapixels,
+  author = {Harvey, Adam. LaPlace, Jules.},
+  title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
+  year = 2019,
+  url = {https://megapixels.cc/},
+  urldate = {2019-04-18}
+}</pre>
+
+	</p>
+</section><section><h3>References</h3><section><ul class="footnotes"><li><a name="[^uccs_vast]" class="footnote_shim"></a><span class="backlinks"><a href="#[^uccs_vast]_1">a</a></span><p>"2nd Unconstrained Face Detection and Open Set Recognition Challenge." <a href="https://vast.uccs.edu/Opensetface/">https://vast.uccs.edu/Opensetface/</a>. Accessed April 15, 2019.</p>
+</li><li><a name="[^sapkota_boult]" class="footnote_shim"></a><span class="backlinks"><a href="#[^sapkota_boult]_1">a</a><a href="#[^sapkota_boult]_2">b</a></span><p>Sapkota, Archana and Boult, Terrance. "Large Scale Unconstrained Open Set Face Database." 2013.</p>
+</li><li><a name="[^funding_uccs]" class="footnote_shim"></a><span class="backlinks"><a href="#[^funding_uccs]_1">a</a></span><p>Günther, M. et. al. "Unconstrained Face Detection and Open-Set Face Recognition Challenge," 2018. Arxiv 1708.02337v3.</p>
+</li><li><a name="[^surv_face_qmul]" class="footnote_shim"></a><span class="backlinks"><a href="#[^surv_face_qmul]_1">a</a></span><p>"Surveillance Face Recognition Challenge". <a href="https://www.semanticscholar.org/paper/Surveillance-Face-Recognition-Challenge-Cheng-Zhu/2306b2a8fba28539306052764a77a0d0f5d1236a">SemanticScholar</a></p>
+</li></ul></section></section>
 
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diff --git a/site/public/datasets/vgg_face2/index.html b/site/public/datasets/vgg_face2/index.html
index d5c1d98c..24ce4b2d 100644
--- a/site/public/datasets/vgg_face2/index.html
+++ b/site/public/datasets/vgg_face2/index.html
@@ -17,7 +17,7 @@
     <a class='slogan' href="/">
       <div class='logo'></div>
       <div class='site_name'>MegaPixels</div>
-      
+      <div class='splash'>Brainwash Dataset</div>
     </a>
     <div class='links'>
       <a href="/datasets/">Datasets</a>
@@ -26,13 +26,83 @@
   </header>
   <div class="content content-">
     
-  <section><h1>VGG Face 2</h1>
-</section><section><div class='meta'><div><div class='gray'>Years</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Identities</div><div>TBD</div></div><div><div class='gray'>Origin</div><div>TBD</div></div><div><div class='gray'>Funding</div><div>IARPA</div></div></div><section><section class='fullwidth'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/vgg_face2/assets/vgg_face2_index.gif' alt='...'><div class='caption'>...</div></div></section><section><h3>Analysis</h3>
+  <section><h2>VGG Face 2</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
+    <div class='gray'>Published</div>
+    <div>2015</div>
+  </div><div class='meta'>
+    <div class='gray'>Images</div>
+    <div>11,917 </div>
+  </div><div class='meta'>
+    <div class='gray'>Purpose</div>
+    <div>Head detection</div>
+  </div><div class='meta'>
+    <div class='gray'>Created by</div>
+    <div>Stanford University (US), Max Planck Institute for Informatics (DE)</div>
+  </div><div class='meta'>
+    <div class='gray'>Funded by</div>
+    <div>Max Planck Center for Visual Computing and Communication</div>
+  </div><div class='meta'>
+    <div class='gray'>Download Size</div>
+    <div>4.1 GB</div>
+  </div><div class='meta'>
+    <div class='gray'>Website</div>
+    <div><a href='https://purl.stanford.edu/sx925dc9385' target='_blank' rel='nofollow noopener'>stanford.edu</a></div>
+  </div></div><p>[ page under development ]</p>
+</section><section>
+  <h3>Who used Brainwash Dataset?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
+	
+	<h3>Biometric Trade Routes</h3>
+
+	<p>
+		To help understand how Brainwash Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Brainwash Dataset was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
+	</p>
+ 
+ </section>
+
+<section class="applet_container fullwidth">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
+</section>
+
+<div class="caption">
+	<ul class="map-legend">
+	<li class="edu">Academic</li>
+	<li class="com">Commercial</li>
+	<li class="gov">Military / Government</li>
+	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
+</div>
+
+
+<section class="applet_container">
+
+  <h3>Dataset Citations</h3>
+  <p>
+    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
+  </p>
+
+  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
+</section><section><h3>(ignore) research notes</h3>
 <ul>
 <li>The VGG Face 2 dataset includes approximately 1,331 actresses, 139 presidents, 16 wives, 3 husbands, 2 snooker player, and 1 guru</li>
-</ul>
-<h3>Names and descriptions</h3>
-<ul>
 <li>The original VGGF2 name list has been updated with the results returned from Google Knowledge</li>
 <li>Names with a similarity score greater than 0.75 where automatically updated. Scores computed using <code>import difflib; seq = difflib.SequenceMatcher(a=a.lower(), b=b.lower()); score = seq.ratio()</code></li>
 <li>The 97 names with a score of 0.75 or lower were manually reviewed and includes name changes validating using Wikipedia.org results for names such as "Bruce Jenner" to "Caitlyn Jenner", spousal last-name changes, and discretionary changes to improve search results such as combining nicknames with full name when appropriate, for example changing "Aleksandar Petrović" to "Aleksandar 'Aco' Petrović" and minor changes such as "Mohammad Ali" to "Muhammad Ali"</li>
@@ -54,18 +124,17 @@
 
   </div>
   <footer>
-    <div>
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-      <a href="/about/privacy/">Privacy</a>
-      <a href="/about/">About</a>
-      <a href="/about/team/">Team</a>
-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
+      <li><a href="/datasets/">Datasets</a></li>
+      <li><a href="/about/">About</a></li>
+      <li><a href="/about/press/">Press</a></li>
+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
   </footer>
 </body>
 
diff --git a/site/public/datasets/viper/index.html b/site/public/datasets/viper/index.html
index 6d27b15b..e4b2a05a 100644
--- a/site/public/datasets/viper/index.html
+++ b/site/public/datasets/viper/index.html
@@ -27,7 +27,8 @@
   <div class="content content-dataset">
     
   <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/viper/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">VIPeR</span> is a person re-identification dataset of images captured at UC Santa Cruz in 2007</span></div><div class='hero_subdesc'><span class='bgpad'>VIPeR contains 1,264 images and 632 persons on the UC Santa Cruz campus and is used to train person re-identification algorithms for surveillance
-</span></div></div></section><section><div class='left-sidebar'><div class='meta'>
+</span></div></div></section><section><h2>VIPeR Dataset</h2>
+</section><section><div class='right-sidebar'><div class='meta'>
     <div class='gray'>Published</div>
     <div>2007</div>
   </div><div class='meta'>
@@ -45,8 +46,7 @@
   </div><div class='meta'>
     <div class='gray'>Website</div>
     <div><a href='https://vision.soe.ucsc.edu/node/178' target='_blank' rel='nofollow noopener'>ucsc.edu</a></div>
-  </div><div class='meta'><div><div class='gray'>Published</div><div>2007</div></div><div><div class='gray'>Images</div><div>1,264</div></div><div><div class='gray'>Persons</div><div>632</div></div><div><div class='gray'>Created by</div><div>UC Santa Cruz</div></div></div></div><h2>VIPeR Dataset</h2>
-<p>(PAGE UNDER DEVELOPMENT)</p>
+  </div></div><p>[ page under development ]</p>
 <p><em>VIPeR (Viewpoint Invariant Pedestrian Recognition)</em> is a dataset of pedestrian images captured at University of California Santa Cruz in 2007. Accoriding to the reserachers 2 "cameras were placed in different locations in an academic setting and subjects were notified of the presence of cameras, but were not coached or instructed in any way."</p>
 <p>VIPeR is amongst the most widely used publicly available person re-identification datasets. In 2017 the VIPeR dataset was combined into a larger person re-identification created by the Chinese University of Hong Kong called PETA (PEdesTrian Attribute).</p>
 </section><section>
@@ -62,30 +62,24 @@
 <!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
 </div> -->
  <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
-</section><section class="applet_container">
+</section>
+
+<section class="applet_container">
  <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
-</section><section>
+</section>
+
+<section>
 	
 	<h3>Biometric Trade Routes</h3>
-<!-- 
-	<div class="map-sidebar right-sidebar">
-	  <h3>Legend</h3>
-	  <ul>
-	    <li><span style="color: #f2f293">&#9632;</span> Industry</li>
-	    <li><span style="color: #f30000">&#9632;</span> Academic</li>
-	    <li><span style="color: #3264f6">&#9632;</span> Government</li>
-	  </ul>
-	</div>
-	 -->
+
 	<p>
-		To help understand how VIPeR has been used around the world for commercial, military and academic research; publicly available research citing Viewpoint Invariant Pedestrian Recognition is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
+		To help understand how VIPeR has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Viewpoint Invariant Pedestrian Recognition was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
 	</p>
  
  </section>
 
 <section class="applet_container fullwidth">
  <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
-
 </section>
 
 <div class="caption">
@@ -93,25 +87,12 @@
 	<li class="edu">Academic</li>
 	<li class="com">Commercial</li>
 	<li class="gov">Military / Government</li>
-	<li class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</li>
 	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
 </div>
 
-<!-- <section>
-	<p class='subp'>
-		[section under development] VIPeR ... Standardized paragraph of text about the map. Sed ut perspiciatis, unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam eaque ipsa, quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt, explicabo.
-	</p>
-</section>
- --><section>
-
-  <div class="hr-wave-holder">
-      <div class="hr-wave-line hr-wave-line1"></div>
-      <div class="hr-wave-line hr-wave-line2"></div>
-  </div>
 
-  <h3>Supplementary Information</h3>
-  
-</section><section class="applet_container">
+<section class="applet_container">
 
   <h3>Dataset Citations</h3>
   <p>
@@ -123,18 +104,17 @@
 
   </div>
   <footer>
-    <div>
-      <a href="/">MegaPixels.cc</a>
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-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
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+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
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+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
   </footer>
 </body>
 
diff --git a/site/public/datasets/youtube_celebrities/index.html b/site/public/datasets/youtube_celebrities/index.html
index ee11f3c0..e90b45cb 100644
--- a/site/public/datasets/youtube_celebrities/index.html
+++ b/site/public/datasets/youtube_celebrities/index.html
@@ -26,18 +26,68 @@
   </header>
   <div class="content content-">
     
-  <section><h1>YouTube Celebrities</h1>
-</section><section><div class='meta'><div><div class='gray'>Years</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Identities</div><div>TBD</div></div><div><div class='gray'>Origin</div><div>YouTube.com</div></div><div><div class='gray'>Funded by</div><div>CIA, US Army</div></div></div><section><section><p>TODO</p>
-<p>RESEARCH below these lines</p>
-<blockquote><p>Selected dataset sequences: (a) MBGC, (b) CMU MoBo, (c) First
-Honda/UCSD, and (d) YouTube Celebrities.
-This research is supported by the Central Intelligence Agency, the Biometrics
+  <section><h2>YouTube Celebrities</h2>
+</section><section><div class='right-sidebar'></div><p>[ page under development ]</p>
+</section><section>
+  <h3>Who used YouTube Celebrities?</h3>
+
+  <p>
+    This bar chart presents a ranking of the top countries where dataset citations originated.  Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
+  </p>
+ 
+ </section>
+
+<section class="applet_container">
+<!-- 	<div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
+</div> -->
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
+</section>
+
+<section>
+	
+	<h3>Biometric Trade Routes</h3>
+
+	<p>
+		To help understand how YouTube Celebrities has been used around the world by commercial, military, and academic organizations; existing publicly available research citing YouTube Celebrities was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
+	</p>
+ 
+ </section>
+
+<section class="applet_container fullwidth">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
+</section>
+
+<div class="caption">
+	<ul class="map-legend">
+	<li class="edu">Academic</li>
+	<li class="com">Commercial</li>
+	<li class="gov">Military / Government</li>
+	</ul>
+	<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
+</div>
+
+
+<section class="applet_container">
+
+  <h3>Dataset Citations</h3>
+  <p>
+    The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers.  Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources.  These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
+  </p>
+
+  <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
+</section><section><h4>Notes...</h4>
+<ul>
+<li>Selected dataset sequences: (a) MBGC, (b) CMU MoBo, (c) First
+Honda/UCSD, and (d) YouTube Celebrities.</li>
+<li>This research is supported by the Central Intelligence Agency, the Biometrics
 Task Force and the Technical Support Working Group through US Army contract
 W91CRB-08-C-0093. The opinions, (cid:12)ndings, and conclusions or recommendations
 expressed in this publication are those of the authors and do not necessarily re(cid:13)ect
-the views of our sponsors.</p>
-</blockquote>
-<ul>
+the views of our sponsors.</li>
 <li>in "Face Recognition From Video Draft 17"</li>
 <li>International Journal of Pattern Recognition and Artifcial Intelligence WorldScientific Publishing Company</li>
 </ul>
@@ -45,18 +95,17 @@ the views of our sponsors.</p>
 
   </div>
   <footer>
-    <div>
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-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
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+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
   </footer>
 </body>
 
diff --git a/site/public/index.html b/site/public/index.html
index 11ff7279..118814be 100644
--- a/site/public/index.html
+++ b/site/public/index.html
@@ -27,7 +27,7 @@
   </div>
   <footer>
     <div>
-      MegaPixels is an art and research project by Adam Harvey about the origins and ethics of facial analysis datasets, developed in partnership with Mozilla.
+      MegaPixels is a research project by Adam Harvey about facial recognition datasets, developed in partnership with Mozilla.
     </div>
     <div>
       MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
diff --git a/site/public/info/index.html b/site/public/info/index.html
index eb78b260..7e7ecf80 100644
--- a/site/public/info/index.html
+++ b/site/public/info/index.html
@@ -32,18 +32,17 @@
 
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-      <a href="/about/">About</a>
-      <a href="/about/team/">Team</a>
-    </div>
-    <div>
-      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
-      <a href="https://ahprojects.com">ahprojects.com</a>
-    </div>
+    <ul class="footer-left">
+      <li><a href="/">MegaPixels.cc</a></li>
+      <li><a href="/datasets/">Datasets</a></li>
+      <li><a href="/about/">About</a></li>
+      <li><a href="/about/press/">Press</a></li>
+      <li><a href="/about/legal/">Legal and Privacy</a></li>
+    </ul>
+    <ul class="footer-right">
+      <li>MegaPixels &copy;2017-19 &nbsp;<a href="https://ahprojects.com">Adam R. Harvey</a></li>
+      <li>Made with support from &nbsp;<a href="https://mozilla.org">Mozilla</a></li>
+    </ul>
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diff --git a/site/public/research/00_introduction/index.html b/site/public/research/00_introduction/index.html
index 43f95d2a..535958cc 100644
--- a/site/public/research/00_introduction/index.html
+++ b/site/public/research/00_introduction/index.html
@@ -41,7 +41,12 @@
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   </section>
 
-  <section><div class='meta'><div><div class='gray'>Posted</div><div>Dec. 15</div></div><div><div class='gray'>Author</div><div>Adam Harvey</div></div></div><section><section><h3>Motivation</h3>
+  <section><div class='meta'><div><div class='gray'>Posted</div><div>Dec. 15</div></div><div><div class='gray'>Author</div><div>Adam Harvey</div></div></div><section><section><p>Facial recognition is a scam.</p>
+<p>During the last 20 years commericial, academic, and governmental agencies have promoted the false dream of a future with face recognition. This essay debunks the popular myth that such a thing ever existed.</p>
+<p>There is no such thing as <em>face recognition</em>. For the last 20 years, government agencies, commercial organizations, and academic institutions have played the public as a fool, selling a roadmap of the future that simply does not exist. Facial recognition, as it is currently defined, promoted, and sold to the public, government, and commercial sector is a scam.</p>
+<p>Committed to developing robust solutions with superhuman accuracy, the industry has repeatedly undermined itself by never actually developing anything close to "face recognition".</p>
+<p>There is only biased feature vector clustering and probabilistic thresholding.</p>
+<h3>Motivation</h3>
 <p>Ever since government agencies began developing face recognition in the early 1960's, datasets of face images have always been central to developing and validating face recognition technologies. Today, these datasets no longer originate in labs, but instead from family photo albums posted on photo sharing sites, surveillance camera footage from college campuses, search engine queries for celebrities, cafe livestreams, or <a href="https://www.theverge.com/2017/8/22/16180080/transgender-youtubers-ai-facial-recognition-dataset">videos on YouTube</a>.</p>
 <p>During the last year, hundreds of these facial analysis datasets created "in the wild" have been collected to understand how they contribute to a global supply chain of biometric data that is powering the global facial recognition industry.</p>
 <p>While many of these datasets include public figures such as politicians, athletes, and actors; they also include many non-public figures: digital activists, students, pedestrians, and semi-private shared photo albums are all considered "in the wild" and fair game for research projects. Some images are used with creative commons licenses, yet others were taken in unconstrained scenarios without awareness or consent. At first glance it appears many of the datasets were created for seemingly harmless academic research, but when examined further it becomes clear that they're also used by foreign defense agencies.</p>
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diff --git a/site/public/research/01_from_1_to_100_pixels/index.html b/site/public/research/01_from_1_to_100_pixels/index.html
index ea296960..fe49e998 100644
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+++ b/site/public/research/01_from_1_to_100_pixels/index.html
@@ -121,18 +121,17 @@ relying on FaceID and TouchID to protect their information agree to a</p>
 
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diff --git a/site/public/test/face_search/index.html b/site/public/test/face_search/index.html
index cad7ceec..e2db70df 100644
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@@ -32,18 +32,17 @@
 
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diff --git a/site/public/test/gallery/index.html b/site/public/test/gallery/index.html
index 7dbe020b..869c3aaa 100644
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+++ b/site/public/test/gallery/index.html
@@ -30,22 +30,37 @@
 <h3><a href="/test/">&larr; Back to test index</a></h3>
 </section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/test/assets/man.jpg' alt='Modal image 1'><div class='caption'>Modal image 1</div></div>
 <div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/test/assets/man.jpg' alt='Modal image 2'><div class='caption'>Modal image 2</div></div>
-<div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/test/assets/man.jpg' alt='Modal image 3'><div class='caption'>Modal image 3</div></div></section>
+<div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/site/test/assets/man.jpg' alt='Modal image 3'><div class='caption'>Modal image 3</div></div></section><section><h2>Test table</h2>
+<table>
+<thead><tr>
+<th>Col1</th>
+<th>Col2</th>
+<th>Col3</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td>Content1</td>
+<td>Content2</td>
+<td>Content3</td>
+</tr>
+</tbody>
+</table>
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diff --git a/site/public/test/map/index.html b/site/public/test/map/index.html
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diff --git a/site/public/test/name_search/index.html b/site/public/test/name_search/index.html
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diff --git a/site/public/test/pie_chart/index.html b/site/public/test/pie_chart/index.html
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diff --git a/site/templates/home.html b/site/templates/home.html
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@@ -27,7 +27,7 @@
   </div>
   <footer>
     <div>
-      MegaPixels is an art and research project by Adam Harvey about the origins and ethics of facial analysis datasets, developed in partnership with Mozilla.
+      MegaPixels is a research project by Adam Harvey about facial recognition datasets, developed in partnership with Mozilla.
     </div>
     <div>
       MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
diff --git a/site/templates/layout.html b/site/templates/layout.html
index d0630310..e446530f 100644
--- a/site/templates/layout.html
+++ b/site/templates/layout.html
@@ -17,7 +17,7 @@
     <a class='slogan' href="/">
       <div class='logo'></div>
       <div class='site_name'>MegaPixels</div>
-      {% if metadata.meta.dataset %}<div class='splash'>{{ metadata.meta.dataset.name_short }}</div>{% endif %}
+      {% if metadata.meta.dataset %}<div class='splash'>{{ metadata.meta.dataset.name_display }}</div>{% endif %}
     </a>
     <div class='links'>
       <a href="/datasets/">Datasets</a>
@@ -30,11 +30,10 @@
   <footer>
     <div>
       <a href="/">MegaPixels.cc</a>
-      <a href="/about/disclaimer/">Disclaimer</a>
-      <a href="/about/terms/">Terms of Use</a>
-      <a href="/about/privacy/">Privacy</a>
+      <a href="/datasets/">Datasets</a>
       <a href="/about/">About</a>
-      <a href="/about/team/">Team</a>
+      <a href="/about/press/">Press</a>
+      <a href="/about/legal/">Legal and Privacy</a>
     </div>
     <div>
       MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
diff --git a/todo.md b/todo.md
index 9b2a0891..4586611e 100644
--- a/todo.md
+++ b/todo.md
@@ -1,21 +1,69 @@
 # TODO
 
+## Global
+
+- JL/AH:U tidy up desktop css
+    - dataset index page
+- JL: mobile CSS
+
 ## Splash
 
-- AH: work on CTA overlay design
-- AH: render heads from IJB-C, and MS Celeb
-- AH: create psuedo-ranomized list of names from combined datasets for word/name cloud
-- add scripted slow-slow-zoom out effect
+- JL: add scripted slow-slow-zoom out effect + intro anim
+- AH: about 50 render heads for homepage + name list for word cloud
+- AH: work on CTA overlay design intro anim
+- AH: add mozilla to footer
 
 ## Datasets
 
-- AH: add dataset analysis for MS Celeb, Duke, IJB-C, HRT Transgender
-- AH: increase sizes of dataset thumbnails
+- JL: this paper isn't appearing in the UCCS list of verified papers but should be included https://arxiv.org/pdf/1708.02337.pdf
+- AH: add dataset analysis for MS Celeb, IJB-C
+- AH: fix dataset analysis for UCCS, brainwahs graphics
 - AH: add license information to each dataset page
 
-## Verifications for FT Launch:
+## About
+
+- x
+
+## Flickr Analysis
+
+Collect Flickr IDs and metadata for:
 
-(but need to add additional S2 Queries)
+- adience
+- flickr_faces
+- geofaces
+- h3d
+- helen
+- ibm_dif
+- images_of_groups
+- leeds_sports_pose
+- leeds_sports_pose_extended
+- lfpw
+- mafa
+- me_glass
+- megaage
+- megaface
+- moments_in_time
+- pipa
+- stickmen_family
+- tiny_faces
+- ucf_crowd
+- used
+- voc
+- who_goes_there
+- yfcc_100m
+
+
+## Analysis:
+
+- [x] Brainwash
+- [x] Duke MTMC
+- [x] UCCS
+- [ ] MSCeleb
+- [ ] IJB-C (and IJB-A/B?)
+- [ ] HRT Transgender
+- [x] Town Centre
+
+## Verifications
 
 - [x] Brainwash
 - [x] Duke MTMC
@@ -23,7 +71,10 @@
 - [x] MSCeleb
 - [x] IJB-C (and IJB-A/B?)
 - [x] HRT Transgender
-- [ ] Town Centre
+- [x] Town Centre
+
+
+------------------
 
 ## Datasets for next launch:
 
@@ -68,9 +119,3 @@ April 4th launch
 - Pipa
 - Shakecam
 
-### Low Priority
-
-## about/press
-
-- (not a update layout to add images for markdown syntax
-