From 68c66807c5338a14b8b06cb0eeba4449c7f38a88 Mon Sep 17 00:00:00 2001 From: adamhrv Date: Sun, 2 Jun 2019 13:32:58 +0200 Subject: update brainwash license --- site/public/datasets/brainwash/index.html | 22 +++++++++++++++++----- 1 file changed, 17 insertions(+), 5 deletions(-) (limited to 'site/public/datasets/brainwash') diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html index 5a3ba175..898a77e3 100644 --- a/site/public/datasets/brainwash/index.html +++ b/site/public/datasets/brainwash/index.html @@ -53,7 +53,7 @@
-
Brainwash is a dataset of webcam images taken from the Brainwash Cafe in San Francisco
The Brainwash dataset includes 11,917 images of "everyday life of a busy downtown cafe" and is used for training head detection surveillance algorithms +
Brainwash is a dataset of webcam images taken from the Brainwash Cafe in San Francisco
It includes 11,917 images of "everyday life of a busy downtown cafe" and is used for training face and head detection algorithms

Brainwash Dataset

Published
@@ -80,7 +80,9 @@

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.

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 research projects on advancing the capabilities of object detection to more accurately isolate the target region in an image. 3 4 The National University of Defense Technology is controlled by China's top military body, the Central Military Commission.

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." 5. Megvii is the parent company of Face++, who has provided surveillance technology to monitor Uighur Muslims in Xinjiang and may be blacklisted in the United States.

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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)
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)
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)
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)
+

Updates

+

Since posting about this dataset and showing 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."

+
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)
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: Open Data Commons Public Domain Dedication (PDDL)
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)
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: Open Data Commons Public Domain Dedication (PDDL)

Who used Brainwash Dataset?

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Supplementary Information

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Nine of 11,917 images from the the Brainwash dataset. Graphics credit: megapixels.cc. License: Open Data Commons Public Domain Dedication (PDDL)
Nine of 11,917 images from the the Brainwash dataset. Graphics credit: megapixels.cc. License: Open Data Commons Public Domain Dedication (PDDL)
+
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)
Nine of 11,917 images from the the Brainwash dataset. Graphic: megapixels.cc based on Brainwash dataset by Russel et. al. License: Open Data Commons Public Domain Dedication (PDDL)

Cite Our Work

- If you use our data, research, or graphics please cite our work: + If you find this analysis helpful, please cite our work: 

 @online{megapixels,
@@ -157,7 +159,17 @@
 }

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References

Citing Brainwash Dataset

+

If you use any data from the Brainwash dataset, please follow their license and cite their work as:

+
+@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}
+}
+

References

  • 1 a"readme.txt" https://exhibits.stanford.edu/data/catalog/sx925dc9385.
  • 2 aStewart, Russel. Andriluka, Mykhaylo. "End-to-end people detection in crowded scenes". 2016.
  • 3 aLi, 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.
  • 4 aZhao. X, Wang Y, Dou, Y. A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering. -- cgit v1.2.3-70-g09d2