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-rw-r--r--site/includes/about_navigation.html10
-rw-r--r--site/includes/citations.html6
-rw-r--r--site/includes/map.html28
-rw-r--r--site/includes/synthetic_faces_intro.html4
4 files changed, 48 insertions, 0 deletions
diff --git a/site/includes/about_navigation.html b/site/includes/about_navigation.html
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+<section class="about-menu">
+<ul>
+<li><a href="/about/">About</a></li>
+<li><a href="/about/press/">Press</a></li>
+<li><a href="/about/research/">Research Methodology</a></li>
+<li><a href="/about/disclaimer/">Disclaimer</a></li>
+<li><a href="/about/terms/">Terms and Conditions</a></li>
+<li><a href="/about/privacy/">Privacy Policy</a></li>
+</ul>
+</section> \ No newline at end of file
diff --git a/site/includes/citations.html b/site/includes/citations.html
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+<section class="applet_container">
+ <h3>Citations</h3>
+ <p>Add graph showing distribution by country. Add information about how the citations were generated. Add button/link to download CSV</p>
+
+ <div class="applet" data-payload="{&quot;command&quot;: &quot;citations&quot;}"></div>
+</section> \ No newline at end of file
diff --git a/site/includes/map.html b/site/includes/map.html
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+<section>
+
+ <h3>Biometric Trade Routes</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, its citations have been geocoded to show an approximate geographic digital trade route of the biometric data. Lines indicate an organization (education, commercial, or governmental) that has cited the LFW dataset in their research. Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a>.
+ </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"><span class="edu">&#9632;</span> Academic</div>
+ <div class="map-legend-item"><span class="com">&#9632;</span> Industry</div>
+ <div class="map-legend-item"><span class="gov">&#9632;</span> Government</div>
+</div>
diff --git a/site/includes/synthetic_faces_intro.html b/site/includes/synthetic_faces_intro.html
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+<section>
+ <h3>Synthetic Faces</h3>
+ <p>To visualize the types of photos in the dataset without explicitly publishing individual's identities a generative adversarial network (GAN) was trained on the entire dataset. The images in this video show a neural network learning the visual latent space and then interpolating between archetypical identities within the LFW dataset.</p>
+</section> \ No newline at end of file