update brainwash license

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   </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'>Brainwash is a dataset of webcam images taken from the Brainwash Cafe in San Francisco</span></div><div class='hero_subdesc'><span class='bgpad'>The Brainwash dataset includes 11,917 images of "everyday life of a busy downtown cafe" and is used for training head detection surveillance algorithms
+  <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'>Brainwash is a dataset of webcam images taken from the Brainwash Cafe in San Francisco</span></div><div class='hero_subdesc'><span class='bgpad'>It includes 11,917 images of "everyday life of a busy downtown cafe" and is used for training face and head detection algorithms
 </span></div></div></section><section><h2>Brainwash Dataset</h2>
 </section><section><div class='right-sidebar'><div class='meta'>
     <div class='gray'>Published</div>
@@ -80,7 +80,9 @@
 <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 customer would ever suspect that their image would end up in dataset used for surveillance research 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 notably used in 2016 and 2017 by researchers affiliated with the National University of Defense Technology in China 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 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 <a href="https://en.wikipedia.org/wiki/National_University_of_Defense_Technology">National University of Defense Technology</a> is controlled by China's top military body, the Central Military Commission.</p>
 <p>The Brainwash dataset also appears in a 2018 research paper affiliated with Megvii (Face++) that used images from Brainwash Cafe "to validate the generalization ability of [their] CrowdHuman dataset for head detection."<a class="footnote_shim" name="[^crowdhuman]_1"> </a><a href="#[^crowdhuman]" class="footnote" title="Footnote 5">5</a>. Megvii is the parent company of Face++, who has provided surveillance technology to <a href="https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html">monitor Uighur Muslims</a> in Xinjiang and may be <a href="https://www.bloomberg.com/news/articles/2019-05-22/trump-weighs-blacklisting-two-chinese-surveillance-companies">blacklisted</a> in the United States.</p>
-</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 dataset contains a total of 11,917 images and 81,973 annotated heads.  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 dataset contains a total of 11,917 images and 81,973 annotated heads.  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 in 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 in the Brainwash dataset training partition. Credit: megapixels.cc. License: Open Data Commons Public Domain Dedication (PDDL)</div></div></section><section>
+<h4>Updates</h4>
+<p>Since <a href="https://twitter.com/adamhrv/status/1132201604999000065">posting</a> about this dataset and <a href="https://www.ft.com/content/cf19b956-60a2-11e9-b285-3acd5d43599e">showing</a> its connections to the National Unviversity of Defense Technology in China, the Brainwash dataset is no longer available for download. As of June 2, 2019 it has been "removed from access at the request of the depositor."</p>
+</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 dataset contains a total of 11,917 images and 81,973 annotated heads. Graphic by megapixels.cc based on Brainwash dataset by Russel et. al. License: <a href="https://opendatacommons.org/licenses/pddl/summary/index.html">Open Data Commons Public Domain Dedication</a> (PDDL)'><div class='caption'> An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The dataset contains a total of 11,917 images and 81,973 annotated heads. Graphic by megapixels.cc based on Brainwash dataset by Russel et. al. License: <a href="https://opendatacommons.org/licenses/pddl/summary/index.html">Open Data Commons Public Domain Dedication</a> (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 in the Brainwash dataset training partition. Graphic by megapixels.cc based on Brainwash dataset by Russel et. al. License: <a href="https://opendatacommons.org/licenses/pddl/summary/index.html">Open Data Commons Public Domain Dedication</a> (PDDL)'><div class='caption'> A visualization of the active regions for 81,973 head annotations in the Brainwash dataset training partition. Graphic by megapixels.cc based on Brainwash dataset by Russel et. al. License: <a href="https://opendatacommons.org/licenses/pddl/summary/index.html">Open Data Commons Public Domain Dedication</a> (PDDL)</div></div></section><section>
   <h3>Who used Brainwash Dataset?</h3>
 
   <p>
@@ -140,12 +142,12 @@
 
   <h2>Supplementary Information</h2>
   
-</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/brainwash_grid.jpg' alt=' Nine of 11,917 images from the the Brainwash dataset. Graphics credit: megapixels.cc. License: Open Data Commons Public Domain Dedication (PDDL)'><div class='caption'> Nine of 11,917 images from the the Brainwash dataset. Graphics credit: megapixels.cc. License: Open Data Commons Public Domain Dedication (PDDL)</div></div></section><section>
+</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/brainwash_grid.jpg' alt=' Nine of 11,917 images from the the Brainwash dataset. Graphic: megapixels.cc based on Brainwash dataset by Russel et. al. License: <a href="https://opendatacommons.org/licenses/pddl/summary/index.html">Open Data Commons Public Domain Dedication</a> (PDDL)'><div class='caption'> Nine of 11,917 images from the the Brainwash dataset. Graphic: megapixels.cc based on Brainwash dataset by Russel et. al. License: <a href="https://opendatacommons.org/licenses/pddl/summary/index.html">Open Data Commons Public Domain Dedication</a> (PDDL)</div></div></section><section>
 
   <h4>Cite Our Work</h4>
   <p>
   	
-  	If you use our data, research, or graphics please cite our work:
+  	If you find this analysis helpful, please cite our work:
 
 <pre id="cite-bibtex">
 @online{megapixels,
@@ -157,7 +159,17 @@
 }</pre>
 
 	</p>
-</section><section><h3>References</h3><section><ul class="footnotes"><li>1 <a name="[^readme]" class="footnote_shim"></a><span class="backlinks"><a href="#[^readme]_1">a</a></span>"readme.txt" <a href="https://exhibits.stanford.edu/data/catalog/sx925dc9385">https://exhibits.stanford.edu/data/catalog/sx925dc9385</a>.
+</section><section><h4>Citing Brainwash Dataset</h4>
+<p>If you use any data from the Brainwash dataset, please follow their <a href="https://opendatacommons.org/licenses/pddl/summary/index.html">license</a> and cite their work as:</p>
+<pre>
+@article{Stewart2016EndtoEndPD,
+ title={End-to-End People Detection in Crowded Scenes},
+ author={Russell Stewart and Mykhaylo Andriluka and Andrew Y. Ng},
+ journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
+ year={2016},
+ pages={2325-2333}
+}
+</pre></section><section><h3>References</h3><section><ul class="footnotes"><li>1 <a name="[^readme]" class="footnote_shim"></a><span class="backlinks"><a href="#[^readme]_1">a</a></span>"readme.txt" <a href="https://exhibits.stanford.edu/data/catalog/sx925dc9385">https://exhibits.stanford.edu/data/catalog/sx925dc9385</a>.
 </li><li>2 <a name="[^end_to_end]" class="footnote_shim"></a><span class="backlinks"><a href="#[^end_to_end]_1">a</a></span>Stewart, Russel. Andriluka, Mykhaylo. "End-to-end people detection in crowded scenes". 2016.
 </li><li>3 <a name="[^localized_region_context]" class="footnote_shim"></a><span class="backlinks"><a href="#[^localized_region_context]_1">a</a></span>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.
 </li><li>4 <a name="[^replacement_algorithm]" class="footnote_shim"></a><span class="backlinks"><a href="#[^replacement_algorithm]_1">a</a></span>Zhao. X, Wang Y, Dou, Y. A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering.