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<p>The <em>Names and Faces</em> dataset was the first face recognition dataset created entire from online photos. However, <em>Names and Faces</em> and <em>LFW</em> are not the first face recognition dataset created entirely "in the wild". That title belongs to the <a href="/datasets/ucd_faces/">UCD dataset</a>. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.</p>
</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_montage_all_crop.jpg' alt='All 5,379 people in the Labeled Faces in The Wild Dataset. Showing one face per person'><div class='caption'>All 5,379 people in the Labeled Faces in The Wild Dataset. Showing one face per person</div></div></section><section><p>The <em>Names and Faces</em> dataset was the first face recognition dataset created entire from online photos. However, <em>Names and Faces</em> and <em>LFW</em> are not the first face recognition dataset created entirely "in the wild". That title belongs to the <a href="/datasets/ucd_faces/">UCD dataset</a>. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.</p>
<p>The <em>Names and Faces</em> dataset was the first face recognition dataset created entire from online photos. However, <em>Names and Faces</em> and <em>LFW</em> are not the first face recognition dataset created entirely "in the wild". That title belongs to the <a href="/datasets/ucd_faces/">UCD dataset</a>. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.</p>
-</section><section> <h3>Biometric Trade Routes (beta)</h3><!-- <div class="map-sidebar right-sidebar"> <h3>Legend</h3> <ul> <li><span style="color: #f2f293">&#9632;</span> Industry</li> <li><span style="color: #f30000">&#9632;</span> Academic</li> <li><span style="color: #3264f6">&#9632;</span> Government</li> </ul> </div> --> <p> To understand how this dataset 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="{&quot;command&quot;: &quot;map&quot;}"></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'> The data is generated by collecting all citations for all original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced. </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="{&quot;command&quot;: &quot;citations&quot;}"></div></section><section> <p> This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns to see yearly totals. Colors are only assigned to the top 10 overall countries. </p> </section><section class="applet_container"> <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div></section><section><h3>Commercial Use</h3>
+</section><section>
+
+ <h3>Biometric Trade Routes (beta)</h3>
+<!--
+ <div class="map-sidebar right-sidebar">
+ <h3>Legend</h3>
+ <ul>
+ <li><span style="color: #f2f293">&#9632;</span> Industry</li>
+ <li><span style="color: #f30000">&#9632;</span> Academic</li>
+ <li><span style="color: #3264f6">&#9632;</span> Government</li>
+ </ul>
+ </div>
+ -->
+ <p>
+ To understand how this dataset 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="{&quot;command&quot;: &quot;map&quot;}"></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'>
+ The data is generated by collecting all citations for all original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced.
+ </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="{&quot;command&quot;: &quot;citations&quot;}"></div>
+</section><section>
+ <h3>Who used ?</h3>
+
+ <p>
+ This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns
+ to see yearly totals. Colors are only assigned to the top 10 overall countries.
+ </p>
+
+ </section>
+
+<section class="applet_container">
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;chart&quot;}"></div>
+</section><section><h3>Commercial Use</h3>
<p>Add a paragraph about how usage extends far beyond academia into research centers for largest companies in the world. And even funnels into CIA funded research in the US and defense industry usage in China.</p>
</section><section class='applet_container'><div class='applet' data-payload='{"command": "load_file assets/lfw_commercial_use.csv", "fields": ["name_display, company_url, example_url, country, description"]}'></div></section><section><p>Research, text, and graphics ©Adam Harvey / megapixels.cc</p>
</section><section><ul class="footnotes"><li><a name="[^lfw_www]" class="footnote_shim"></a><span class="backlinks"><a href="#[^lfw_www]_1">a</a><a href="#[^lfw_www]_2">b</a></span><p><a href="http://vis-www.cs.umass.edu/lfw/results.html">http://vis-www.cs.umass.edu/lfw/results.html</a></p>