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------------
status: published
title: Brainwash
desc: Brainwash is a dataset of webcam images taken from the Brainwash Cafe in San Francisco in 2014
subdesc: The Brainwash dataset includes 11,918 images of "everyday life of a busy downtown cafe" and is used for training head detection surveillance algorithms
slug: brainwash
cssclass: dataset
image: assets/background.jpg
year: 2015
published: 2019-2-23
updated: 2019-2-23
authors: Adam Harvey
------------
## Brainwash Dataset
### sidebar
### end sidebar
*Brainwash* is a head detection dataset created from San Francisco's Brainwash Cafe livecam footage. It includes 11,918 images of "everyday life of a busy downtown cafe"[^readme] captured at 100 second intervals throught the entire day. Brainwash dataset was captured during 3 days in 2014: October 27, November 13, and November 24. According the author's reserach paper introducing the dataset, the images were acquired with the help of Angelcam.com.[^end_to_end]
People's Liberation Army National University of Defense Science and Technology
Brainwash is not a widely used dataset but since its publication by Stanford University in 2015, it has notably appeared in several research papers from the National University of Defense Technology in Changsha, China. In 2016 and in 2017 researchers there conducted studies on detecting people's heads in crowded scenes for the purpose of surveillance. [^localized_region_context] [^replacement_algorithm]
If you happen to have been at Brainwash cafe in San Francisco at any time on October 26, November 13, or November 24 in 2014 you are most likely included in the Brainwash dataset and have unwittingly contributed to surveillance research.
{% include 'dashboard.html' %}
{% include 'supplementary_header.html' %}
TODO
- change supp images to 2x2 grid with bboxes
- add bounding boxes to the header image
- remake montage with randomized images, with bboxes
- add ethics link to Stanford
- add optout info
{% include 'cite_our_work.html' %}
### 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.
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