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------------
status: published
title: Brainwash
desc: Brainwash is a dataset of people from Dropcam footage of the Brainwash Cafe in San Francisco being used to train face detection algorithms
subdesc: The Brainwash dataset includes 11,918 images of people getting coffee at the Brainwash cafe during 2014
caption: A pixelated sample image from the Brainwash dataset used for training face detection algorithms for surveillance
slug: brainwash
color: #ffaa00
image: assets/background.jpg
published: 2019-2-23
updated: 2019-2-23
authors: Adam Harvey
------------
### Statistics
+ Published: 2015
+ Collected: 2014
+ Location: San Franscisco
+ Images: 11,917
+ Faces: 91,146
+ Resolution: 640x480px
+ Origin: Dropcam footage
+ Created by: Stanford Department of Computer Science
### INSIGHTS
- facts about Brainwash 1
- facts about Brainwash 2
## Brainwash Dataset
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--------
RESEARCH below this line
---
> This package contains the "Brainwash" dataset. The dataset consists of images capturing the everyday life of a busy downtown cafe and is split into the following subsets:
> training set: 10769 with 81975 annotated people
> validation set: 500 images with 3318 annotated people
> test set: 500 images with 5007 annotated people
> Bounding box annotations are provided in a simple text file format. Each line in the file contains
image name followed by the list of annotation rectangles in the \[xmin, ymin, max, ymax\] format.
> We refer to the following arXiv submission for details on the dataset and the evaluation procedure:
http://arxiv.org/abs/1506.04878
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