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authorJules Laplace <julescarbon@gmail.com>2019-03-05 12:37:38 +0100
committerJules Laplace <julescarbon@gmail.com>2019-03-05 12:37:38 +0100
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+ <title>MegaPixels</title>
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+ <meta name="author" content="Adam Harvey" />
+ <meta name="description" content="AFLW: Annotated Facial Landmarks in The Wild" />
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+
+ <section><h1>Annotated Facial Landmarks in The Wild</h1>
+</section><section><div class='meta'><div><div class='gray'>Years</div><div>1993-1996</div></div><div><div class='gray'>Images</div><div>25,993</div></div><div><div class='gray'>Identities</div><div>1,199 </div></div><div><div class='gray'>Origin</div><div>Flickr</div></div></div><section><section><!--header--></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/aflw/aflw_index.gif' alt=''></div></section><section><p>RESEARCH below this line</p>
+<blockquote><p>The motivation for the AFLW database is the need for a large-scale, multi-view, real-world face database with annotated facial features. We gathered the images on Flickr using a wide range of face relevant tags (e.g., face, mugshot, profile face). The downloaded set of images was manually scanned for images containing faces. The key data and most important properties of the database are:</p>
+</blockquote>
+<p><a href="https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/aflw/">https://www.tugraz.at/institute/icg/research/team-bischof/lrs/downloads/aflw/</a></p>
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