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<meta name="author" content="Adam Harvey" />
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<div class='splash'>YouTube Celebrities</div>
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<section><div class='right-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>
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<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>
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<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="{"command": "citations"}"></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.</li>
<li>in "Face Recognition From Video Draft 17"</li>
<li>International Journal of Pattern Recognition and Artifcial Intelligence WorldScientific Publishing Company</li>
</ul>
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