update brainwash license

1 files changed, 24 insertions, 17 deletions

diff --git a/site/content/pages/datasets/brainwash/index.md b/site/content/pages/datasets/brainwash/index.md
index a2c13d8d..861eabc0 100644
--- a/site/content/pages/datasets/brainwash/index.md
+++ b/site/content/pages/datasets/brainwash/index.md
@@ -3,13 +3,13 @@
 status: published
 title: Brainwash Dataset
 desc: Brainwash is a dataset of webcam images taken from the Brainwash Cafe in San Francisco
-subdesc: The Brainwash dataset includes 11,917 images of "everyday life of a busy downtown cafe" and is used for training head detection surveillance algorithms
+subdesc: It includes 11,917 images of "everyday life of a busy downtown cafe" and is used for training face and head detection algorithms
 slug: brainwash
 cssclass: dataset
 image: assets/background.jpg
 year: 2015
 published: 2019-4-18
-updated: 2019-4-22
+updated: 2019-6-02
 authors: Adam Harvey
 
 ------------
@@ -27,34 +27,41 @@ Although Brainwash appears to be a less popular dataset, it was notably used in
 
 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."[^crowdhuman]. Megvii is the parent company of Face++, who has provided surveillance technology to [monitor Uighur Muslims](https://www.nytimes.com/2019/04/14/technology/china-surveillance-artificial-intelligence-racial-profiling.html) in Xinjiang and may be [blacklisted](https://www.bloomberg.com/news/articles/2019-05-22/trump-weighs-blacklisting-two-chinese-surveillance-companies) in the United States. 
 
-![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)](assets/brainwash_example.jpg)
+#### Updates
 
-![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)](assets/brainwash_saliency_map.jpg)
+Since [posting](https://twitter.com/adamhrv/status/1132201604999000065) about this dataset and [showing](https://www.ft.com/content/cf19b956-60a2-11e9-b285-3acd5d43599e) 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."
+
+![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)](assets/brainwash_example.jpg)
+
+![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)](assets/brainwash_saliency_map.jpg)
 
 
 {% include 'dashboard.html' %}
 
 {% include 'supplementary_header.html' %}
 
-
-![caption: Nine of 11,917 images from the the Brainwash dataset. Graphics credit: megapixels.cc. License: Open Data Commons Public Domain Dedication (PDDL)](assets/brainwash_grid.jpg)
+![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)](assets/brainwash_grid.jpg)
 
 {% include 'cite_our_work.html' %}
 
+#### Citing Brainwash Dataset
+
+If you use any data from the Brainwash dataset, please follow their [license](https://opendatacommons.org/licenses/pddl/summary/index.html) and cite their work as:
+
+<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>
+
 ### Footnotes
 
 [^readme]: "readme.txt" https://exhibits.stanford.edu/data/catalog/sx925dc9385.
 [^end_to_end]: Stewart, Russel. Andriluka, Mykhaylo. "End-to-end people detection in crowded scenes". 2016. 
 [^localized_region_context]: 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.
 [^replacement_algorithm]: Zhao. X, Wang Y, Dou, Y. A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering.
-[^crowdhuman]: Shuai Shao, Zijian Zhao, Boxun Li, Tete Xiao, Gang Yu, Xiangyu Zhang, and Jian Sun. CrowdHuman: Benchmark for Detecting Human in a Crowd. 2018. http://arxiv.org/abs/1805.00123
-  journal   = {CoRR},
-  volume    = {abs/1805.00123},
-  year      = {2018},
-  url       = {},
-  archivePrefix = {arXiv},
-  eprint    = {1805.00123},
-  timestamp = {Thu, 14 Mar 2019 14:56:07 +0100},
-  biburl    = {https://dblp.org/rec/bib/journals/corr/abs-1805-00123},
-  bibsource = {dblp computer science bibliography, https://dblp.org}
-}
\ No newline at end of file
+[^crowdhuman]: Shuai Shao, Zijian Zhao, Boxun Li, Tete Xiao, Gang Yu, Xiangyu Zhang, and Jian Sun. CrowdHuman: Benchmark for Detecting Human in a Crowd. 2018. http://arxiv.org/abs/1805.00123
\ No newline at end of file