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<title>MegaPixels</title>
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<div class='site_name'>MegaPixels</div>
<div class='splash'>IJB-C</div>
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<section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/ijb_c/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'>IJB-C is a datset ...</span></div><div class='hero_subdesc'><span class='bgpad'>The IJB-C dataset contains...
</span></div></div></section><section><h2>IARPA Janus Benchmark C (IJB-C)</h2>
</section><section><div class='right-sidebar'><div class='meta'>
<div class='gray'>Published</div>
<div>2017</div>
</div><div class='meta'>
<div class='gray'>Images</div>
<div>21,294 </div>
</div><div class='meta'>
<div class='gray'>Videos</div>
<div>11,779 </div>
</div><div class='meta'>
<div class='gray'>Identities</div>
<div>3,531 </div>
</div><div class='meta'>
<div class='gray'>Purpose</div>
<div>face recognition challenge by NIST in full motion videos</div>
</div><div class='meta'>
<div class='gray'>Website</div>
<div><a href='https://www.nist.gov/programs-projects/face-challenges' target='_blank' rel='nofollow noopener'>nist.gov</a></div>
</div></div><p>Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor</p>
<p>Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor Loren ipsum dolor</p>
</section><section>
<h3>Who used IJB-C?</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> -->
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<section>
<h3>Biometric Trade Routes</h3>
<p>
To help understand how IJB-C has been used around the world by commercial, military, and academic organizations; existing publicly available research citing IARPA Janus Benchmark C 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="{"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>
</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. If you use our data, please <a href="/about/attribution">cite our work</a>.
</p>
<div class="applet" data-payload="{"command": "citations"}"></div>
</section><section>
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<div class="hr-wave-line hr-wave-line2"></div>
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<h2>Supplementary Information</h2>
</section><section>
<h4>Cite Our Work</h4>
<p>
If you use our data, research, or graphics please cite our work:
<pre id="cite-bibtex">
@online{megapixels,
author = {Harvey, Adam. LaPlace, Jules.},
title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
year = 2019,
url = {https://megapixels.cc/},
urldate = {2019-04-18}
}</pre>
</p>
</section><section><h3>References</h3><section><ul class="footnotes"><li>1 <a name="[^readme]" class="footnote_shim"></a><span class="backlinks"></span>"readme.txt" <a href="https://exhibits.stanford.edu/data/catalog/sx925dc9385">https://exhibits.stanford.edu/data/catalog/sx925dc9385</a>.
</li><li>2 <a name="[^end_to_end]" class="footnote_shim"></a><span class="backlinks"></span>Stewart, Russel. Andriluka, Mykhaylo. "End-to-end people detection in crowded scenes". 2016.
</li><li>3 <a name="[^localized_region_context]" class="footnote_shim"></a><span class="backlinks"></span>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.
</li><li>4 <a name="[^replacement_algorithm]" class="footnote_shim"></a><span class="backlinks"></span>Zhao. X, Wang Y, Dou, Y. A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering.
</li></ul></section></section>
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