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authorAdam Harvey <adam@ahprojects.com>2019-06-05 09:51:26 -0500
committerAdam Harvey <adam@ahprojects.com>2019-06-05 09:51:26 -0500
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-<!doctype html>
-<html>
-<head>
- <title>MegaPixels</title>
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- <meta name="author" content="Adam Harvey" />
- <meta name="description" content="IJB-C is a datset ..." />
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- <link rel='stylesheet' href='/assets/css/leaflet.css' />
- <link rel='stylesheet' href='/assets/css/applets.css' />
-</head>
-<body>
- <header>
- <a class='slogan' href="/">
- <div class='logo'></div>
- <div class='site_name'>MegaPixels</div>
- <div class='splash'>IJB-C</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/brainwash/assets/background.jpg)'><div class='inner'><div class='hero_desc'><span class='bgpad'>IJB-C is a datset ...</span></div><div class='hero_subdesc'><span class='bgpad'>The IJB-C dataset contains...
-</span></div></div></section><section><h2>Brainwash Dataset</h2>
-</section><section><div class='right-sidebar'><div class='meta'>
- <div class='gray'>Published</div>
- <div>2017</div>
- </div><div class='meta'>
- <div class='gray'>Images</div>
- <div>21,294 </div>
- </div><div class='meta'>
- <div class='gray'>Videos</div>
- <div>11,779 </div>
- </div><div class='meta'>
- <div class='gray'>Identities</div>
- <div>3,531 </div>
- </div><div class='meta'>
- <div class='gray'>Purpose</div>
- <div>face recognition challenge by NIST in full motion videos</div>
- </div><div class='meta'>
- <div class='gray'>Website</div>
- <div><a href='https://www.nist.gov/programs-projects/face-challenges' target='_blank' rel='nofollow noopener'>nist.gov</a></div>
- </div></div><p>Brainwash is a dataset of livecam images taken from San Francisco's Brainwash Cafe. It includes 11,918 images of "everyday life of a busy downtown cafe"<a class="footnote_shim" name="[^readme]_1"> </a><a href="#[^readme]" class="footnote" title="Footnote 1">1</a> captured at 100 second intervals throught the entire day. The Brainwash dataset includes 3 full days of webcam images taken on October 27, November 13, and November 24 in 2014. According the author's <a href="https://www.semanticscholar.org/paper/End-to-End-People-Detection-in-Crowded-Scenes-Stewart-Andriluka/1bd1645a629f1b612960ab9bba276afd4cf7c666">reserach paper</a> introducing the dataset, the images were acquired with the help of Angelcam.com<a class="footnote_shim" name="[^end_to_end]_1"> </a><a href="#[^end_to_end]" class="footnote" title="Footnote 2">2</a></p>
-<p>The Brainwash dataset is unique because it uses images from a publicly available webcam that records people inside a privately owned business without any consent. No ordinary cafe custom could ever suspect there image would end up in dataset used for surveillance reserach and development, but that is exactly what happened to customers at Brainwash cafe in San Francisco.</p>
-<p>Although Brainwash appears to be a less popular dataset, it was used in 2016 and 2017 by researchers from the National University of Defense Technology in China took note of the dataset and used it for two <a href="https://www.semanticscholar.org/paper/Localized-region-context-and-object-feature-fusion-Li-Dou/b02d31c640b0a31fb18c4f170d841d8e21ffb66c">research</a> <a href="https://www.semanticscholar.org/paper/A-Replacement-Algorithm-of-Non-Maximum-Suppression-Zhao-Wang/591a4bfa6380c9fcd5f3ae690e3ac5c09b7bf37b">projects</a> on advancing the capabilities of object detection to more accurately isolate the target region in an image (<a href="https://www.itm-conferences.org/articles/itmconf/pdf/2017/04/itmconf_ita2017_05006.pdf">PDF</a>). <a class="footnote_shim" name="[^localized_region_context]_1"> </a><a href="#[^localized_region_context]" class="footnote" title="Footnote 3">3</a> <a class="footnote_shim" name="[^replacement_algorithm]_1"> </a><a href="#[^replacement_algorithm]" class="footnote" title="Footnote 4">4</a>. The dataset also appears in a 2017 <a href="https://ieeexplore.ieee.org/document/7877809">research paper</a> from Peking University for the purpose of improving surveillance capabilities for "people detection in the crowded scenes".</p>
-</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/brainwash_grid.jpg' alt=' A visualization of 81,973 head annotations from the Brainwash dataset training partition. Credit: megapixels.cc. License: Open Data Commons Public Domain Dedication (PDDL)'><div class='caption'> A visualization of 81,973 head annotations from the Brainwash dataset training partition. Credit: megapixels.cc. License: Open Data Commons Public Domain Dedication (PDDL)</div></div></section><section>
- <h3>Who used IJB-C?</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="{&quot;command&quot;: &quot;chart&quot;}"></div>
-</section>
-
-<section class="applet_container">
- <div class="applet" data-payload="{&quot;command&quot;: &quot;piechart&quot;}"></div>
-</section>
-
-<section>
-
- <h3>Biometric Trade Routes</h3>
-
- <p>
- To help understand how IJB-C has been used around the world by commercial, military, and academic organizations; existing publicly available research citing IARPA Janus Benchmark C 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="{&quot;command&quot;: &quot;map&quot;}"></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 trainĀ 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="{&quot;command&quot;: &quot;citations&quot;}"></div>
-</section><section>
-
- <div class="hr-wave-holder">
- <div class="hr-wave-line hr-wave-line1"></div>
- <div class="hr-wave-line hr-wave-line2"></div>
- </div>
-
- <h2>Supplementary Information</h2>
-
-</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/brainwash_example.jpg' alt=' An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains 11,916 more images like this one. Credit: megapixels.cc. License: Open Data Commons Public Domain Dedication (PDDL)'><div class='caption'> An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains 11,916 more images like this one. Credit: megapixels.cc. License: Open Data Commons Public Domain Dedication (PDDL)</div></div></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/brainwash_saliency_map.jpg' alt=' A visualization of the active regions for 81,973 head annotations from the Brainwash dataset training partition. Credit: megapixels.cc. License: Open Data Commons Public Domain Dedication (PDDL)'><div class='caption'> A visualization of the active regions for 81,973 head annotations from the Brainwash dataset training partition. Credit: megapixels.cc. License: Open Data Commons Public Domain Dedication (PDDL)</div></div></section><section>
-
- <h4>Cite Our Work</h4>
- <p>
-
- If you use our data, research, or graphics please cite our work:
-
-<pre id="cite-bibtex">
-@online{megapixels,
- author = {Harvey, Adam. LaPlace, Jules.},
- title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
- year = 2019,
- url = {https://megapixels.cc/},
- urldate = {2019-04-18}
-}</pre>
-
- </p>
-</section><section><h3>References</h3><section><ul class="footnotes"><li><a name="[^readme]" class="footnote_shim"></a><span class="backlinks"><a href="#[^readme]_1">a</a></span><p>"readme.txt" <a href="https://exhibits.stanford.edu/data/catalog/sx925dc9385">https://exhibits.stanford.edu/data/catalog/sx925dc9385</a>.</p>
-</li><li><a name="[^end_to_end]" class="footnote_shim"></a><span class="backlinks"><a href="#[^end_to_end]_1">a</a></span><p>Stewart, Russel. Andriluka, Mykhaylo. "End-to-end people detection in crowded scenes". 2016.</p>
-</li><li><a name="[^localized_region_context]" class="footnote_shim"></a><span class="backlinks"><a href="#[^localized_region_context]_1">a</a></span><p>Li, Y. and Dou, Y. and Liu, X. and Li, T. Localized Region Context and Object Feature Fusion for People Head Detection. ICIP16 Proceedings. 2016. Pages 594-598.</p>
-</li><li><a name="[^replacement_algorithm]" class="footnote_shim"></a><span class="backlinks"><a href="#[^replacement_algorithm]_1">a</a></span><p>Zhao. X, Wang Y, Dou, Y. A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering.</p>
-</li></ul></section></section>
-
- </div>
- <footer>
- <ul class="footer-left">
- <li><a href="/">MegaPixels.cc</a></li>
- <li><a href="/datasets/">Datasets</a></li>
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<div class='links'>
<a href="/datasets/">Datasets</a>
<a href="/about/">About</a>
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<a href="/about/news">News</a>
+=======
+ <a href="/about/updates/">Updates</a>
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<section>
- <h3>Informaton Supply chain</h3>
+ <h3>Information Supply chain</h3>
<p>
To help understand how Brainwash Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Brainwash 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.