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<meta name="author" content="Adam Harvey" />
<meta name="description" content="Market-1501 is a dataset is collection of CCTV footage from Tsinghua University" />
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<div class='site_name'>MegaPixels</div>
<div class='splash'>Market 1501</div>
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<section class='intro_section' style='background-image: url(https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/market_1501/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'><span class="dataset-name">Market-1501</span> is a dataset is collection of CCTV footage from Tsinghua University</span></div><div class='hero_subdesc'><span class='bgpad'>The Market-1501 dataset includes 1,261 people from 5 HD surveillance cameras located on campus
</span></div></div></section><section><h2>Market-1501 Dataset</h2>
</section><section><div class='right-sidebar'><div class='meta'>
<div class='gray'>Published</div>
<div>2015</div>
</div><div class='meta'>
<div class='gray'>Images</div>
<div>32,668 </div>
</div><div class='meta'>
<div class='gray'>Identities</div>
<div>1,501 </div>
</div><div class='meta'>
<div class='gray'>Purpose</div>
<div>Person re-identification</div>
</div><div class='meta'>
<div class='gray'>Website</div>
<div><a href='http://www.liangzheng.org/Project/project_reid.html' target='_blank' rel='nofollow noopener'>liangzheng.org</a></div>
</div></div><p>[ PAGE UNDER DEVELOPMENT]</p>
</section><section>
<h3>Who used Market 1501?</h3>
<p>
This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries.
</p>
</section>
<section class="applet_container">
<!-- <div style="position: absolute;top: 0px;right: -55px;width: 180px;font-size: 14px;">Labeled Faces in the Wild Dataset<br><span class="numc" style="font-size: 11px;">20 citations</span>
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<section>
<h3>Biometric Trade Routes</h3>
<p>
To help understand how Market 1501 has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Market 1501 Dataset was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location.
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<ul class="map-legend">
<li class="edu">Academic</li>
<li class="com">Commercial</li>
<li class="gov">Military / Government</li>
</ul>
<div class="source">Citation data is collected using <a href="https://semanticscholar.org" target="_blank">SemanticScholar.org</a> then dataset usage verified and geolocated.</div >
</div>
<section class="applet_container">
<h3>Dataset Citations</h3>
<p>
The dataset citations used in the visualizations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms.
</p>
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</section><section><h2>(ignore) research Notes</h2>
<ul>
<li>"MARS is an extension of the Market-1501 dataset. During collection, we placed six near synchronized cameras in the campus of Tsinghua university. There were Five 1,080<em>1920 HD cameras and one 640</em>480 SD camera. MARS consists of 1,261 different pedestrians whom are captured by at least 2 cameras. Given a query tracklet, MARS aims to retrieve tracklets that contain the same ID." - main paper</li>
<li>bbox "0065C1T0002F0016.jpg", "0065" is the ID of the pedestrian. "C1" denotes the first
camera (there are totally 6 cameras). "T0002" means the 2th tracklet. "F016" is the 16th frame
within this tracklet. For the tracklets, their names are accumulated for each ID; but for frames,
they start from "F001" in each tracklet.</li>
</ul>
<p>@proceedings{zheng2016mars,
title={MARS: A Video Benchmark for Large-Scale Person Re-identification},
author={Zheng, Liang and Bie, Zhi and Sun, Yifan and Wang, Jingdong and Su, Chi and Wang, Shengjin and Tian, Qi},
booktitle={European Conference on Computer Vision},
year={2016},
organization={Springer}
}</p>
</section>
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