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<section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">Unconstrained College Students (UCCS)</span> is a dataset of long-range surveillance photos of students taken without their knowledge</span></div><div class='hero_subdesc'><span class='bgpad'>The UCCS dataset includes 16,149 images and 1,732 identities of students at University of Colorado Colorado Springs campus and is used for face recognition and face detection
</span></div></div></section><section><div class='left-sidebar'><div class='meta'>
<div class='gray'>Published</div>
<div>2018</div>
</div><div class='meta'>
<div class='gray'>Images</div>
<div>16,149 </div>
</div><div class='meta'>
<div class='gray'>Identities</div>
<div>1,732 </div>
</div><div class='meta'>
<div class='gray'>Purpose</div>
<div>Face recognition, face detection</div>
</div><div class='meta'>
<div class='gray'>Created by</div>
<div>University of Colorado Colorado Springs (US)</div>
</div><div class='meta'>
<div class='gray'>Funded by</div>
<div>ODNI, IARPA, ONR MURI, Amry SBIR, SOCOM SBIR</div>
</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>
<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>132</td>
</tr>
<tr>
<td>2012</td>
<td>March</td>
<td>---</td>
<td>6</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>2012</td>
<td>March</td>
<td>---</td>
<td>8</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>2012</td>
<td>March</td>
<td>---</td>
<td>13</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>2012</td>
<td>Februay</td>
<td>---</td>
<td>23</td>
<td>-</td>
<td>132</td>
</tr>
<tr>
<td>2012</td>
<td>March</td>
<td>---</td>
<td>6</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>2012</td>
<td>March</td>
<td>---</td>
<td>8</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>2012</td>
<td>March</td>
<td>---</td>
<td>13</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>2012</td>
<td>Februay</td>
<td>---</td>
<td>23</td>
<td>-</td>
<td>132</td>
</tr>
<tr>
<td>2012</td>
<td>March</td>
<td>---</td>
<td>6</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>2012</td>
<td>March</td>
<td>---</td>
<td>8</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>2012</td>
<td>March</td>
<td>---</td>
<td>13</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>2012</td>
<td>Februay</td>
<td>---</td>
<td>23</td>
<td>-</td>
<td>132</td>
</tr>
<tr>
<td>2012</td>
<td>March</td>
<td>---</td>
<td>6</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>2012</td>
<td>March</td>
<td>---</td>
<td>8</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>2012</td>
<td>March</td>
<td>---</td>
<td>13</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>2012</td>
<td>Februay</td>
<td>---</td>
<td>23</td>
<td>-</td>
<td>132</td>
</tr>
<tr>
<td>2012</td>
<td>March</td>
<td>---</td>
<td>6</td>
<td>-</td>
<td>-</td>
</tr>
<tr>
<td>2012</td>
<td>March</td>
<td>---</td>
<td>8</td>
<td>-</td>
<td>-</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">■</span> Industry</li>
<li><span style="color: #f30000">■</span> Academic</li>
<li><span style="color: #3264f6">■</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="{"command": "map"}"></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="{"command": "chart"}"></div>
</section><section class="applet_container">
<div class="applet" data-payload="{"command": "piechart"}"></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="{"command": "citations"}"></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>
<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&D contract 2014-14071600012</li>
</ul>
<h3>TODO</h3>
<ul>
<li>add tabulator module for dates</li>
<li>parse dates into CSV using Python</li>
<li>get google image showing line of sight?</li>
<li>fix up quote/citations</li>
</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">↩</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">↩</a></p></li>
</ol>
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