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<!doctype html>
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<title>MegaPixels</title>
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<meta name="author" content="Adam Harvey" />
<meta name="description" content="LFW: Labeled Faces in The Wild" />
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<div class='site_name'>MegaPixels</div>
<div class='splash'>LFW</div>
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<div class="content content-">
<section><h1>FacE REcognition Dataset (FERET)</h1>
</section><section><div class='right-sidebar'><div class='meta'>
<div class='gray'>Published</div>
<div>2007</div>
</div><div class='meta'>
<div class='gray'>Images</div>
<div>13,233 </div>
</div><div class='meta'>
<div class='gray'>Identities</div>
<div>5,749 </div>
</div><div class='meta'>
<div class='gray'>Purpose</div>
<div>face recognition</div>
</div><div class='meta'>
<div class='gray'>Website</div>
<div><a href='http://vis-www.cs.umass.edu/lfw/' target='_blank' rel='nofollow noopener'>umass.edu</a></div>
</div></div><p>[ page under development ]</p>
</section><section>
<h3>Who used LFW?</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 LFW has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Labeled Faces in the Wild 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>
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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><h3>(ignore) RESEARCH below this line</h3>
<ul>
<li>Years: 1993-1996</li>
<li>Images: 14,126</li>
<li>Identities: 1,199 </li>
<li>Origin: Fairfax, MD</li>
<li><em>Facial Recognition Evaluation</em> (FERET) is develop, test, and evaluate face recognition algorithms</li>
<li>The goal of the FERET program was to develop automatic face recognition capabilities that could be employed to assist security, intelligence, and law enforcement personnel in the performance of their duties.</li>
<li><a href="https://www.nist.gov/programs-projects/face-recognition-technology-feret">https://www.nist.gov/programs-projects/face-recognition-technology-feret</a></li>
</ul>
<h3>"The FERET database and evaluation procedure for face-recognition algorithms"</h3>
<ul>
<li>Images were captured using Kodak Ultra film</li>
<li>The facial images were collected in 11 sessions from August 1993 to December 1994. Conducted at George Mason University and at US Army Research Laboratory facilities, </li>
</ul>
<h3>FERET (Face Recognition Technology) Recognition Algorithm Development and Test Results</h3>
<ul>
<li>"A release form is necessary because of the privacy laws in the United States."</li>
</ul>
<h2>Funding</h2>
<p>The FERET program is sponsored by the U.S. Depart- ment of Defense’s Counterdrug Technology Development Program Office. The U.S. Army Research Laboratory (ARL) is the technical agent for the FERET program. ARL designed, administered, and scored the FERET tests. George Mason University collected, processed, and main- tained the FERET database. Inquiries regarding the FERET database or test should be directed to P. Jonathon Phillips.</p>
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