From b73e233acec5ad6c3aca7475288482f366f7a31f Mon Sep 17 00:00:00 2001
From: adamhrv <adam@ahprojects.com>
Date: Fri, 5 Apr 2019 13:17:05 +0200
Subject: never say final, update uccs

---
 .../datasets/50_people_one_question/index.html     |  65 ++--
 site/public/datasets/afad/index.html               |  80 ++++-
 site/public/datasets/aflw/index.html               |   7 +-
 site/public/datasets/brainwash/index.html          |  62 ++--
 site/public/datasets/caltech_10k/index.html        |  88 ++++-
 site/public/datasets/celeba/index.html             |  65 ++--
 site/public/datasets/cofw/index.html               |  95 ++++--
 site/public/datasets/duke_mtmc/index.html          | 159 +++------
 site/public/datasets/facebook/index.html           |   7 +-
 site/public/datasets/feret/index.html              |  38 ++-
 site/public/datasets/hrt_transgender/index.html    |  81 +----
 site/public/datasets/index.html                    |  31 +-
 site/public/datasets/lfpw/index.html               |  71 +++-
 site/public/datasets/lfw/index.html                | 122 +++----
 site/public/datasets/market_1501/index.html        |  80 ++---
 site/public/datasets/msceleb/index.html            |  62 ++--
 site/public/datasets/oxford_town_centre/index.html | 150 +++++++++
 site/public/datasets/pipa/index.html               |  68 ++--
 site/public/datasets/pubfig/index.html             | 117 +++++++
 site/public/datasets/uccs/index.html               | 364 ++++++++-------------
 site/public/datasets/vgg_face2/index.html          |  89 ++++-
 site/public/datasets/viper/index.html              |  50 +--
 .../public/datasets/youtube_celebrities/index.html |  75 ++++-
 23 files changed, 1167 insertions(+), 859 deletions(-)
 create mode 100644 site/public/datasets/oxford_town_centre/index.html
 create mode 100644 site/public/datasets/pubfig/index.html

(limited to 'site/public/datasets')

diff --git a/site/public/datasets/50_people_one_question/index.html b/site/public/datasets/50_people_one_question/index.html
index 796af8d6..b27fa3e5 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>
@@ -39,32 +39,39 @@
   </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><h2>50 People 1 Question</h2>
+<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>
@@ -104,11 +98,10 @@
   <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/site/public/datasets/afad/index.html b/site/public/datasets/afad/index.html
index ac025a80..67a4e981 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><div class='left-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><h2>Asian Face Age Dataset</h2>
+<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>
@@ -44,11 +111,10 @@ Motivation</p>
   <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/site/public/datasets/aflw/index.html b/site/public/datasets/aflw/index.html
index 476f390c..81fb7335 100644
--- a/site/public/datasets/aflw/index.html
+++ b/site/public/datasets/aflw/index.html
@@ -37,11 +37,10 @@
   <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/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html
index ec5ee434..02bb18d4 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>
@@ -49,10 +49,10 @@
     <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>
+<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.<a class="footnote_shim" name="[^end_to_end]_1"> </a><a href="#[^end_to_end]" class="footnote" title="Footnote 2">2</a></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 3">3</a> <a class="footnote_shim" name="[^replacement_algorithm]_1"> </a><a href="#[^replacement_algorithm]" class="footnote" title="Footnote 4">4</a></p>
+<p>If you happen to have been at Brainwash cafe in San Francisco at any time on October 26, November 13, or November 24 in 2014 you are most likely included in the Brainwash dataset and have unwittingly contributed to surveillance research.</p>
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/brainwash_mean_overlay.jpg' alt=' A visualization of 81,973 head annotations from the Brainwash dataset training partition. (c) Adam Harvey'><div class='caption'> A visualization of 81,973 head annotations from the Brainwash dataset training partition. (c) Adam Harvey</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>
@@ -120,20 +110,17 @@
       <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>
+</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><p>TODO</p>
 <ul>
+<li>include the images referenced in the chinese defence papers?</li>
+<li>change supp images to 2x2 grid with bboxes</li>
 <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>
+</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>
@@ -142,11 +129,10 @@
   <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/site/public/datasets/caltech_10k/index.html b/site/public/datasets/caltech_10k/index.html
index 9aa0b2c3..10925b09 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>
@@ -26,18 +26,92 @@
   </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><div class='left-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><h2>Caltech 10K Faces Dataset</h2>
+<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>
-      <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/site/public/datasets/celeba/index.html b/site/public/datasets/celeba/index.html
index 26a43803..3b9883dc 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>
@@ -45,32 +45,39 @@
   </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><h2>CelebA Dataset</h2>
+<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>
@@ -116,11 +110,10 @@
   <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/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html
index 8925d4b8..72f222c9 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>
@@ -38,10 +38,61 @@
   </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><h2>Caltech Occluded Faces in the Wild</h2>
+<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">
  <div class="applet" data-payload="{&quot;command&quot;: &quot;map&quot;}"></div>
-
 </section>
 
 <div class="caption">
@@ -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> then dataset usage verified and geolocated.</div >
+</div><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>
+  <h2>Supplementary Information</h2>
   
 </section><section class="applet_container">
 
@@ -129,11 +163,10 @@ To increase the number of training images, and since  COFW has the exact same la
   <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/site/public/datasets/duke_mtmc/index.html b/site/public/datasets/duke_mtmc/index.html
index 37de48ad..62e5d836 100644
--- a/site/public/datasets/duke_mtmc/index.html
+++ 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>
@@ -45,35 +45,41 @@
   </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>
+  </div></div><h2>Duke MTMC</h2>
+<p>[ page under development ]</p>
+<p>The Duke Multi-Target, Multi-Camera Tracking Dataset (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> for surveillance. The dataset includes over 14 hours of 1080p video from 8 cameras positioned around Duke's campus during February and March 2014. Over 2,700 unique people are included in the dataset, which has become of the most widely used person re-identification image datasets.</p>
+<p>The 8 cameras deployed on Duke's campus were specifically setup to capture students "during periods between lectures, when pedestrian traffic is heavy".</p>
 </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 +87,19 @@
 	<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 +107,29 @@
       <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><h2>Research Notes</h2>
+</section><section><h4>Data Visualizations</h4>
+</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><h3>TODO</h3>
 <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>change to heatmap overlay of each location</li>
+<li>make fancy viz of foot trails with bbox and blurred persons</li>
+<li>expand story</li>
+<li>add google street view images of each camera location?</li>
+<li>add actual head detections to header image with faces blurred</li>
+<li>add 4 diverse example images with faces blurred</li>
+<li>add map location of the brainwash cafe</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>
 
   </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="/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
index b2943e1f..be413510 100644
--- a/site/public/datasets/facebook/index.html
+++ b/site/public/datasets/facebook/index.html
@@ -38,11 +38,10 @@
   <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/site/public/datasets/feret/index.html b/site/public/datasets/feret/index.html
index 45510f64..5cd29c4c 100644
--- a/site/public/datasets/feret/index.html
+++ b/site/public/datasets/feret/index.html
@@ -26,13 +26,34 @@
   </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><div class='left-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><h1>FacE REcognition Dataset (FERET)</h1>
+<p>[ page under development ]</p>
+<p>{% include 'dashboard.html' %}</p>
+<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>
@@ -42,7 +63,7 @@
 <ul>
 <li>"A release form is necessary because of the privacy laws in the United States."</li>
 </ul>
-<h2>Funding</h2>
+</div><h2>Funding</h2>
 <p>The FERET program is sponsored by the U.S. Depart- ment of Defense’s Counterdrug Technology Development Program Office. The U.S. Army Research Laboratory (ARL) is the technical agent for the FERET program. ARL designed, administered, and scored the FERET tests. George Mason University collected, processed, and main- tained the FERET database. Inquiries regarding the FERET database or test should be directed to P. Jonathon Phillips.</p>
 </section>
 
@@ -50,11 +71,10 @@
   <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/site/public/datasets/hrt_transgender/index.html b/site/public/datasets/hrt_transgender/index.html
index 80a4f40b..099dea4e 100644
--- a/site/public/datasets/hrt_transgender/index.html
+++ b/site/public/datasets/hrt_transgender/index.html
@@ -42,88 +42,19 @@
   </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><h2>HRT Transgender Dataset</h2>
+<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="/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/index.html b/site/public/datasets/index.html
index f4776f6a..98db503e 100644
--- a/site/public/datasets/index.html
+++ b/site/public/datasets/index.html
@@ -61,18 +61,6 @@
         </div>
       </a>
     
-      <a href="/datasets/lfw/" style="background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/index.jpg)">
-        <div class="dataset">
-          <span class='title'>Labeled Faces in The Wild</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>
@@ -97,14 +85,14 @@
         </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>
@@ -141,11 +129,10 @@
   <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/site/public/datasets/lfpw/index.html b/site/public/datasets/lfpw/index.html
index 77189ce7..005b7aaa 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><div class='left-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><h2>Labeled Face Parts in The Wild</h2>
+</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>
@@ -40,11 +100,10 @@
   <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/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html
index d451d0cd..cb487913 100644
--- a/site/public/datasets/lfw/index.html
+++ b/site/public/datasets/lfw/index.html
@@ -42,45 +42,45 @@
   </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><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]_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">
@@ -119,33 +108,52 @@
       <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 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><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><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>
 
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-      <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/site/public/datasets/market_1501/index.html b/site/public/datasets/market_1501/index.html
index 3281a9ae..059b1a49 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' />
@@ -26,7 +26,7 @@
   </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 ...
+  <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><div class='left-sidebar'><div class='meta'>
     <div class='gray'>Published</div>
     <div>2015</div>
@@ -42,30 +42,39 @@
   </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><h2>Market-1501 Dataset</h2>
+<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">
@@ -73,40 +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>
-  <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>
-
-  <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>
@@ -114,7 +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
@@ -135,11 +116,10 @@ organization={Springer}
   <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/site/public/datasets/msceleb/index.html b/site/public/datasets/msceleb/index.html
index fb08c737..e93c8c7e 100644
--- a/site/public/datasets/msceleb/index.html
+++ b/site/public/datasets/msceleb/index.html
@@ -48,10 +48,8 @@
   </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><h2>Microsoft Celeb Dataset (MS Celeb)</h2>
+<p>[ PAGE UNDER DEVELOPMENT ]</p>
 </section><section>
   <h3>Who used MsCeleb?</h3>
 
@@ -65,30 +63,24 @@
 <!-- 	<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 MsCeleb 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 +88,12 @@
 	<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>
@@ -123,6 +101,15 @@
   </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>
@@ -136,11 +123,10 @@
   <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/site/public/datasets/oxford_town_centre/index.html b/site/public/datasets/oxford_town_centre/index.html
new file mode 100644
index 00000000..db62a5a6
--- /dev/null
+++ b/site/public/datasets/oxford_town_centre/index.html
@@ -0,0 +1,150 @@
+<!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
+</span></div></div></section><section><div class='left-sidebar'><div class='meta'>
+    <div class='gray'>Published</div>
+    <div>2011</div>
+  </div><div class='meta'>
+    <div class='gray'>Videos</div>
+    <div>1 </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>0.118 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><h2>Oxford Town Centre</h2>
+<p>[ page under development ]</p>
+<p>The Oxford Town Centre dataset is a video of pedestrians in a busy downtown area in Oxford used for creating surveillance algorithms with "potential applications in activity recognition and remote biometric analysis" or non-cooperative face recognition. <a class="footnote_shim" name="[^ben_benfold_orig]_1"> </a><a href="#[^ben_benfold_orig]" class="footnote" title="Footnote 1">1</a></p>
+<p>Based on observations of the dataset video and Google Street images, the source of the footage has been geolocated to a public CCTV camera at the intersection of Cornmarket and Market St. Oxford, England (<a href="https://www.google.com/maps/@51.7528347,-1.2581078,3a,90y,324.38h,101.91t/data=!3m6!1e1!3m4!1s3uTXi12qVnI35DnDJbDofg!2e0!7i13312!8i6656">map</a>). Based on an analysis of the papers that use or cite this dataset <a class="footnote_shim" name="[^guiding_surveillance]_1"> </a><a href="#[^guiding_surveillance]" class="footnote" title="Footnote 2">2</a> the inferred year of capture was definitely 2009 and the season was perhaps February or March based on the the window advertisements and cool-weather clothing.</p>
+<p>Halfway through the video a peculiar and somewhat rude man enters the video and stands directly over top a water drain for over a minute. His unusual demeanor and apparently scripted behavior suggests a possible relationship to the CCTV operators.</p>
+<p>Although Oxford Town Centre dataset first appears as a pedestrian dataset, it was created to improve the stabilization of pedstrian detections in order to extract a more accurate head region that would lead to improvements in face recognition.</p>
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/oxford_town_centre/assets/surveillance_camera.jpg' alt=' Footage from this public CCTV camera was used to create the Oxford Town Centre dataset. Image source Google Sreet View'><div class='caption'> Footage from this public CCTV camera was used to create the Oxford Town Centre dataset. Image source Google Sreet View</div></div></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><p>Several researchers have posted their demo videos using the Oxford Town Centre dataset on YouTube:</p>
+<ul>
+<li><a href="https://www.youtube.com/watch?v=nO-3EM9dEd4">Multi target tracking on Oxford Dataset</a></li>
+<li>[Multi-pedestrian tracking (TownCentre dataset)]<a href="https://www.youtube.com/watch?v=nO-3EM9dEd4">https://www.youtube.com/watch?v=nO-3EM9dEd4</a></li>
+<li><a href="https://www.youtube.com/watch?v=SKXk6uB8348">Multiple object tracking with kalman tracker and sort</a></li>
+<li><a href="https://www.youtube.com/watch?v=RM_RdXH7pSY">Multi target tracking on Oxford dataset</a></li>
+<li><a href="https://www.youtube.com/watch?v=ErLtfUAJA8U">towncentre</a></li>
+<li><a href="https://www.youtube.com/watch?v=LwMOmqvhnoc">VTD - towncenter.avi</a></li>
+</ul>
+<p>[ add visualization ]</p>
+<p>TODO</p>
+<ul>
+<li>make visualization</li>
+<li>add license info</li>
+</ul>
+</section><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>
+
+  </div>
+  <footer>
+    <div>
+      <a href="/">MegaPixels.cc</a>
+      <a href="/datasets/">Datasets</a>
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+      <a href="/about/legal/">Legal and Privacy</a>
+    </div>
+    <div>
+      MegaPixels &copy;2017-19 Adam R. Harvey /&nbsp;
+      <a href="https://ahprojects.com">ahprojects.com</a>
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+</body>
+
+<script src="/assets/js/dist/index.js"></script>
+</html>
\ No newline at end of file
diff --git a/site/public/datasets/pipa/index.html b/site/public/datasets/pipa/index.html
index 27168c5c..7a4fbc0e 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>
@@ -26,7 +26,7 @@
   </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
+  <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><div class='left-sidebar'><div class='meta'>
     <div class='gray'>Published</div>
     <div>2015</div>
@@ -45,30 +45,39 @@
   </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><h2>People in Photo Albums</h2>
+<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>
@@ -102,18 +98,16 @@
   </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="/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/pubfig/index.html b/site/public/datasets/pubfig/index.html
new file mode 100644
index 00000000..c46eeea3
--- /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><div class='left-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><h2>PubFig</h2>
+<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>
+    <div>
+      <a href="/">MegaPixels.cc</a>
+      <a href="/datasets/">Datasets</a>
+      <a href="/about/">About</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;
+      <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/uccs/index.html b/site/public/datasets/uccs/index.html
index 593ac498..5bb120ba 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 at University of Colorado in Colorado Springs" />
   <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' />
@@ -26,7 +26,7 @@
   </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
+  <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 at University of Colorado in Colorado Springs</span></div><div class='hero_subdesc'><span class='bgpad'>The UnConstrained College Students dataset includes 16,149 images and 1,732 identities of subjects on University of Colorado Colorado Springs campus and is used for making face recognition and face detection algorithms
 </span></div></div></section><section><div class='left-sidebar'><div class='meta'>
     <div class='gray'>Published</div>
     <div>2018</div>
@@ -48,297 +48,201 @@
   </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><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" <a class="footnote_shim" name="[^funding_uccs]_1"> </a><a href="#[^funding_uccs]" class="footnote" title="Footnote 2">2</a>. To create the dataset, the researchers used a Canon 7D digital camera fitted with a Sigma 800mm telephoto lens and photographed students 150&ndash;200m away through their office window. Photos were taken during the morning and afternoon while students were walking to and from classes. The primary uses of this dataset are to train, validate, and build recognition and face detection algorithms for realistic surveillance scenarios.</p>
+<p>What makes the UCCS dataset unique is that it includes the highest resolution images of any publicly available face recognition dataset discovered so far (18MP), that it was captured on a campus without consent or awareness using a long-range telephoto lens, and that it was funded by United States defense and intelligence agencies.</p>
+<p>Combined funding sources for the creation of the initial and final release of the dataset include 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. <a class="footnote_shim" name="[^funding_sb]_1"> </a><a href="#[^funding_sb]" class="footnote" title="Footnote 1">1</a> <a class="footnote_shim" name="[^funding_uccs]_2"> </a><a href="#[^funding_uccs]" class="footnote" title="Footnote 2">2</a></p>
+<p>In 2017 the UCCS face dataset was used for a defense and intelligence agency funded <a href="http://www.face-recognition-challenge.com/">face recognition challenge</a> at the International Joint Biometrics Conference in Denver, CO. And in 2018 the dataset was 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. Additional research projects that have used the UCCS dataset are included below in the list of verified citations.</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><h3>Dates and Times</h3>
+<p>The images in UCCS were taken on 18 non-consecutive days during 2012&ndash;2013. Analysis of the <a href="assets/uccs_camera_exif.csv">EXIF data</a> embedded in original images reveal that most of the images were taken on Tuesdays, and the most frequent capture time throughout the week was 12:30PM.</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 10-minute intervals per weekday &copy; megapixels.cc'><div class='caption'> UCCS photos captured per 10-minute intervals per weekday &copy; megapixels.cc</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 can confirmed using the <em>Bellingcat method</em>. The visual clues that lead to location of the camera and subjects include 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.jpg' alt=' Location on campus where students were unknowingly photographed with a telephoto lens to be used for defense and intelligence agency funded research on face recognition. Image: Google Maps'><div class='caption'> Location on campus where students were unknowingly photographed with a telephoto lens to be used for defense and intelligence agency funded research on face recognition. Image: Google Maps</div></div></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>
+<p>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></p>
+<h3>Technical Details</h3>
+<p>For further technical information about the dataset, visit the <a href="https://vast.uccs.edu/Opensetface">UCCS dataset project page</a>.</p>
+<h2>Under Development</h2>
 <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>adding more verified locations to map and charts</li>
+<li>add EXIF file to CDN</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>
+</section><section><ul class="footnotes"><li><a name="[^funding_sb]" class="footnote_shim"></a><span class="backlinks"><a href="#[^funding_sb]_1">a</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><a href="#[^funding_uccs]_2">b</a></span><p>Günther, M. et. al. "Unconstrained Face Detection and Open-Set Face Recognition Challenge," 2018. Arxiv 1708.02337v3.</p>
+</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="/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/vgg_face2/index.html b/site/public/datasets/vgg_face2/index.html
index d5c1d98c..321fb203 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><div class='left-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><h2>VGG Face 2</h2>
+<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>
@@ -56,11 +126,10 @@
   <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/site/public/datasets/viper/index.html b/site/public/datasets/viper/index.html
index 6d27b15b..ffce01fe 100644
--- a/site/public/datasets/viper/index.html
+++ b/site/public/datasets/viper/index.html
@@ -45,8 +45,8 @@
   </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><h2>VIPeR Dataset</h2>
+<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>
@@ -125,11 +106,10 @@
   <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/site/public/datasets/youtube_celebrities/index.html b/site/public/datasets/youtube_celebrities/index.html
index ee11f3c0..b19add4e 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><div class='left-sidebar'></div><h2>YouTube Celebrities</h2>
+<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>
@@ -47,11 +97,10 @@ the views of our sponsors.</p>
   <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;
-- 
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