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  <section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/viper/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">VIPeR</span> is a person re-identification dataset of images captured at UC Santa Cruz in 2007</span></div><div class='hero_subdesc'><span class='bgpad'>VIPeR contains 1,264 images and 632 persons on the UC Santa Cruz campus and is used to train person re-identification algorithms for surveillance
</span></div></div></section><section><h2>VIPeR Dataset</h2>
</section><section><div class='meta'>
    <div class='gray'>Published</div>
    <div>2007</div>
  </div><div class='meta'>
    <div class='gray'>Images</div>
    <div>1,264 </div>
  </div><div class='meta'>
    <div class='gray'>Identities</div>
    <div>632 </div>
  </div><div class='meta'>
    <div class='gray'>Purpose</div>
    <div>Person re-identification</div>
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    <div class='gray'>Created by</div>
    <div>University of California Santa Cruz</div>
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    <div class='gray'>Website</div>
    <div><a href='https://vision.soe.ucsc.edu/node/178' target='_blank' rel='nofollow noopener'>ucsc.edu</a></div>
  </div><p>[ page under development ]</p>
<p><em>VIPeR (Viewpoint Invariant Pedestrian Recognition)</em> is a dataset of pedestrian images captured at University of California Santa Cruz in 2007. Accoriding to the reserachers 2 "cameras were placed in different locations in an academic setting and subjects were notified of the presence of cameras, but were not coached or instructed in any way."</p>
<p>VIPeR is amongst the most widely used publicly available person re-identification datasets. In 2017 the VIPeR dataset was combined into a larger person re-identification created by the Chinese University of Hong Kong called PETA (PEdesTrian Attribute).</p>
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