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  <section><h2>Caltech 10K Faces Dataset</h2>
</section><section><div class='meta'>
    <div class='gray'>Published</div>
    <div>2015</div>
  </div><div class='meta'>
    <div class='gray'>Images</div>
    <div>11,917 </div>
  </div><div class='meta'>
    <div class='gray'>Purpose</div>
    <div>Head detection</div>
  </div><div class='meta'>
    <div class='gray'>Created by</div>
    <div>Stanford University (US), Max Planck Institute for Informatics (DE)</div>
  </div><div class='meta'>
    <div class='gray'>Funded by</div>
    <div>Max Planck Center for Visual Computing and Communication</div>
  </div><div class='meta'>
    <div class='gray'>Download Size</div>
    <div>4.1 GB</div>
  </div><div class='meta'>
    <div class='gray'>Website</div>
    <div><a href='https://purl.stanford.edu/sx925dc9385' target='_blank' rel='nofollow noopener'>stanford.edu</a></div>
  </div><p>[ page under development ]</p>
<p>{% include 'dashboard.html' %}</p>
<h3>(ignore) research notes</h3>
<p>The dataset contains images of people collected from the web by typing common given names into  Google Image Search. The coordinates of the eyes, the nose and the center of the mouth for each frontal face are provided in a ground truth file. This information can be used to align and crop the human faces or as a ground truth for a face detection algorithm. The dataset has 10,524 human faces of various resolutions and in different settings, e.g. portrait images, groups of people, etc. Profile faces or very low resolution faces are not labeled.</p>
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