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diff --git a/site/public/datasets/viper/index.html b/site/public/datasets/viper/index.html deleted file mode 100644 index 320899ea..00000000 --- a/site/public/datasets/viper/index.html +++ /dev/null @@ -1,123 +0,0 @@ -<!doctype html> -<html> -<head> - <title>MegaPixels</title> - <meta charset="utf-8" /> - <meta name="author" content="Adam Harvey" /> - <meta name="description" content="VIPeR is a person re-identification dataset of images captured at UC Santa Cruz in 2007" /> - <meta name="referrer" content="no-referrer" /> - <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" /> - <link rel='stylesheet' href='/assets/css/fonts.css' /> - <link rel='stylesheet' href='/assets/css/css.css' /> - <link rel='stylesheet' href='/assets/css/leaflet.css' /> - <link rel='stylesheet' href='/assets/css/applets.css' /> - <link rel='stylesheet' href='/assets/css/mobile .css' /> -</head> -<body> - <header> - <a class='slogan' href="/"> - <div class='logo'></div> - <div class='site_name'>MegaPixels</div> - <div class='page_name'>VIPeR</div> - </a> - <div class='links'> - <a href="/datasets/">Datasets</a> - <a href="/about/">About</a> - </div> - </header> - <div class="content content-dataset"> - - <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='right-sidebar'><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> - </div><div class='meta'> - <div class='gray'>Created by</div> - <div>University of California Santa Cruz</div> - </div><div class='meta'> - <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></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> -</section><section> - <h3>Who used VIPeR?</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> -</div> --> - <div class="applet" data-payload="{"command": "chart"}"></div> -</section> - -<section class="applet_container"> - <div class="applet" data-payload="{"command": "piechart"}"></div> -</section> - -<section> - - <h3>Biometric Trade Routes</h3> - - <p> - To help understand how VIPeR has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Viewpoint Invariant Pedestrian Recognition 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. - </p> - - </section> - -<section class="applet_container fullwidth"> - <div class="applet" data-payload="{"command": "map"}"></div> -</section> - -<div class="caption"> - <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. If you use our data, please <a href="/about/attribution">cite our work</a>. - </p> - - <div class="applet" data-payload="{"command": "citations"}"></div> -</section> - - </div> - <footer> - <ul class="footer-left"> - <li><a href="/">MegaPixels.cc</a></li> - <li><a href="/datasets/">Datasets</a></li> - <li><a href="/about/">About</a></li> - <li><a href="/about/press/">Press</a></li> - <li><a href="/about/legal/">Legal and Privacy</a></li> - </ul> - <ul class="footer-right"> - <li>MegaPixels ©2017-19 <a href="https://ahprojects.com">Adam R. Harvey</a></li> - <li>Made with support from <a href="https://mozilla.org">Mozilla</a></li> - </ul> - </footer> -</body> - -<script src="/assets/js/dist/index.js"></script> -</html>
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