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diff --git a/site/public/datasets/uccs/index.html b/site/public/datasets/uccs/index.html index 0283bf3b..336d5f01 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="UCCS: Unconstrained College Students" /> + <meta name="description" content="Unconstrained College Students (UCCS) is a dataset of images ..." /> <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' /> @@ -24,47 +24,85 @@ <a href="/about/">About</a> </div> </header> - <div class="content content-"> + <div class="content content-dataset"> - <section><h1>Unconstrained College Students</h1> -</section><section><div class='meta'><div><div class='gray'>Years</div><div>2012-2013</div></div><div><div class='gray'>Images</div><div>16,149</div></div><div><div class='gray'>Identities</div><div>4,362</div></div><div><div class='gray'>Origin</div><div>Colorado Springs Campus</div></div></div><section><section class='fullwidth'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/images/uccs_index.gif' alt='Pixellated and redacted example image from the UCCS dataset. ©Adam Harvey'><div class='caption'>Pixellated and redacted example image from the UCCS dataset. ©Adam Harvey</div></div></section><section><p><strong>Unconstrained College Students</strong> is a large-scale, unconstrained face detection and recognition dataset. It includes</p> -<p>The UCCS includes...</p> -<h3>Funding Sources</h3> -<p>The original Sapkota and Boult dataset, from which UCCS is derived, received funding from[^funding_sb]:</p> + <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 images ...</span></div><div class='hero_subdesc'><span class='bgpad'>The UCCS dataset includes ... +</span></div></div></section><section><div class='left-sidebar'><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>Unconstrained College Students ...</h2> +<p>(PAGE UNDER DEVELOPMENT)</p> +</section><section> + + <h3>Information Supply Chain</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 understand how UCCS has been used around the world... + affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + </p> + + </section> + +<section class="applet_container"> + <div class="applet" data-payload="{"command": "map"}"></div> +</section> + +<div class="caption"> + <div class="map-legend-item edu">Academic</div> + <div class="map-legend-item com">Industry</div> + <div class="map-legend-item gov">Government</div> + Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified. +</div> + +<section> + <p class='subp'> + 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> + + <h2>Supplementary Information</h2> +</section><section class="applet_container"> + + <h3>Citations</h3> + <p> + Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates + and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology. + </p> + <p> + Add button/link to download CSV + </p> + + <div class="applet" data-payload="{"command": "citations"}"></div> +</section><section><h3>Research Notes</h3> +<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 [^funding_uccs]:</p> +<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>Citations</h3> -<p>[add map here]</p> -<p>[add citations table here]</p> -</section><section class='fullwidth'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/uccs/images/uccs_synthetic.jpg' alt='Pixellated and redacted example image from the UCCS dataset. ©Adam Harvey'><div class='caption'>Pixellated and redacted example image from the UCCS dataset. ©Adam Harvey</div></div></section><section><h3>Notes</h3> -<ul> -<li>Images from UCCS are not available for public display. Instead a pixellated, redacted, and colored interpretation has been displayed here. The full images are available here.</li> -<li>Images can be downloaded from...</li> -</ul> -<h3>Resources</h3> -<ul> -<li>Download video</li> -<li>links to UCCS</li> -<li>download synthetic images</li> -</ul> -<h3>Image Terms of Use</h3> -<ul> -<li>All images are ©Adam Harvey / megapixels.cc</li> -<li>You are welcomed to use these images for academic and journalistic use including for research papers, news stories, presentations. </li> -<li>Please use the following citation:</li> -</ul> -</section><section class='applet_container'><div class='applet' data-payload='{"command": "MegaPixels.cc Adam Harvey 2013-2019."}'></div></section><section><div class="footnotes"> +<div class="footnotes"> <hr> -<ol></ol> +<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> </div> </section> |