.

2 files changed, 55 insertions, 17 deletions

diff --git a/site/content/pages/datasets/uccs/index.md b/site/content/pages/datasets/uccs/index.md
index e0925e07..80ce0836 100644
--- a/site/content/pages/datasets/uccs/index.md
+++ b/site/content/pages/datasets/uccs/index.md
@@ -2,6 +2,7 @@
 
 status: published
 title: Unconstrained College Students
+slug: uccs
 desc: <span class="dataset-name">Unconstrained College Students (UCCS)</span> is a dataset of long-range surveillance photos of students taken without their knowledge
 subdesc: The UCCS dataset includes 16,149 images and 1,732 identities of students at University of Colorado Colorado Springs campus and is used for face recognition and face detection
 cssclass: dataset
@@ -27,6 +28,50 @@ authors: Adam Harvey
 
 (PAGE UNDER DEVELOPMENT)
 
+Unconstrained College Students (UCCS) is a dataset of long-range surveillance photos captured at University of Colorado Colorado Springs. According to the authors of two papers associated with the dataset, subjects were "photographed using a long-range high-resolution surveillance camera without their knowledge" [^funding_sb]. The images were captured using a Canon 7D digital camera fitted with a Sigma 800mm telephoto lens pointed out the window of an office. 
+
+The UCCS dataset was funded by ODNI (Office of Director of National Intelligence), IARPA (Intelligence Advance Research Projects Activity), ONR MURI Office of Naval Research and The Department of Defense Multidisciplinary University Research Initiative, Army SBIR (Small Business Innovation Research), SOCOM SBIR (Special Operations Command and Small Business Innovation Research), and the National Science Foundation.
+
+The images in UCCS include students walking between classes on campus over 19 days in 2012 - 2013. The dates include:
+
+| Year | Month | Day | Date | Time Range | Photos |
+| --- | --- | --- | --- | --- | --- |
+| 2012 | Februay | --- | 23 | - | 132 |
+| 2012 | March | --- | 6 | - | - |
+| 2012 | March | --- | 8 | - | - |
+| 2012 | March | --- | 13 | - | - |
+| 2012 | Februay | --- | 23 | - | 132 |
+| 2012 | March | --- | 6 | - | - |
+| 2012 | March | --- | 8 | - | - |
+| 2012 | March | --- | 13 | - | - |
+| 2012 | Februay | --- | 23 | - | 132 |
+| 2012 | March | --- | 6 | - | - |
+| 2012 | March | --- | 8 | - | - |
+| 2012 | March | --- | 13 | - | - |
+| 2012 | Februay | --- | 23 | - | 132 |
+| 2012 | March | --- | 6 | - | - |
+| 2012 | March | --- | 8 | - | - |
+| 2012 | March | --- | 13 | - | - |
+| 2012 | Februay | --- | 23 | - | 132 |
+| 2012 | March | --- | 6 | - | - |
+| 2012 | March | --- | 8 | - | - |
+
+
+2012-03-20
+2012-03-22
+2012-04-03
+2012-04-12
+2012-04-17
+2012-04-24
+2012-04-25
+2012-04-26
+2013-01-28
+2013-01-29
+2013-02-13
+2013-02-19
+2013-02-20
+2013-02-26
+
 ![caption: The pixel-average of all Uconstrained College Students images is shown with all 51,838 face annotations. (c) Adam Harvey](assets/uccs_mean_bboxes_comp.jpg)
 
 
@@ -36,13 +81,9 @@ authors: Adam Harvey
 
 {% include 'piechart.html' %}
 
-{% include 'supplementary_header.html' %}
-
 {% include 'citations.html' %}
 
-
-
-### Research Notes
+{% include 'supplementary_header.html' %}
 
 The original Sapkota and Boult dataset, from which UCCS is derived, received funding from[^funding_sb]:
 
@@ -57,17 +98,14 @@ The more recent UCCS version of the dataset received funding from [^funding_uccs
 - IARPA (Intelligence Advance Research Projects Activity) R&D contract 2014-14071600012
 
 
+### TODO
 
-[^funding_sb]: Sapkota, Archana and Boult, Terrance. "Large Scale Unconstrained Open Set Face Database." 2013.
-[^funding_uccs]: Günther, M. et. al. "Unconstrained Face Detection and Open-Set Face Recognition Challenge," 2018. Arxiv 1708.02337v3.
-
-
-" In most face detection/recognition datasets, the majority of images are “posed”, i.e. the subjects know they are being photographed, and/or the images are selected for publication in public media. Hence, blurry, occluded and badly illuminated images are generally uncommon in these datasets. In addition, most of these challenges are close-set, i.e. the list of subjects in the gallery is the same as the one used for testing.
-
-This challenge explores more unconstrained data, by introducing the new UnConstrained College Students (UCCS) dataset, where subjects are photographed using a long-range high-resolution surveillance camera without their knowledge. Faces inside these images are of various poses, and varied levels of blurriness and occlusion. The challenge also creates an open set recognition problem, where unknown people will be seen during testing and must be rejected.
+- add tabulator module for dates
+- parse dates into CSV using Python
+- get google image showing line of sight?
+- fix up quote/citations
 
-With this challenge, we hope to foster face detection and recognition research towards surveillance applications that are becoming more popular and more required nowadays, and where no automatic recognition algorithm has proven to be useful yet.
+### footnotes
 
-UnConstrained College Students (UCCS) Dataset
-
-The UCCS dataset was collected over several months using Canon 7D camera fitted with Sigma 800mm F5.6 EX APO DG HSM lens, taking images at one frame per second, during times when many students were walking on the sidewalk. "
\ No newline at end of file
+[^funding_sb]: Sapkota, Archana and Boult, Terrance. "Large Scale Unconstrained Open Set Face Database." 2013.
+[^funding_uccs]: Günther, M. et. al. "Unconstrained Face Detection and Open-Set Face Recognition Challenge," 2018. Arxiv 1708.02337v3.
\ No newline at end of file
diff --git a/site/includes/map.html b/site/includes/map.html
index 30c248a6..7511d4c7 100644
--- a/site/includes/map.html
+++ b/site/includes/map.html
@@ -12,7 +12,7 @@
 	</div>
 	 -->
 	<p>
-		To help understand how {{ metadata.meta.dataset.name_display }} has been used around the world for commercial, military and academic research; publicly available research citing {{ metadata.meta.dataset.name_full} is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
+		To help understand how {{ metadata.meta.dataset.name_display }} has been used around the world for commercial, military and academic research; publicly available research citing {{ metadata.meta.dataset.name_full }} is collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal reserach projects at that location.
 	</p>
  
  </section>