Brainwash is a dataset of people from webcams the Brainwash Cafe in San Francisco being used to train face detection algorithms" />
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Brainwash is a dataset of people from webcams the Brainwash Cafe in San Francisco being used to train face detection algorithms
Brainwash dataset includes 11,918 images of people getting coffee at the Brainwash cafe during 2014

Brainwash Dataset

Brainwash is a face detection dataset created from the Brainwash Cafe's livecam footage. The stream is It was published in 2015 by researchers at the Stanford University and has been used 1122 Folsom Street​ | USA

The photos were collected on

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 An sample image from the Brainwash dataset used for training face detection algorithms for surveillance. The datset contains over 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)
An sample image from the Brainwash dataset used for training face detection algorithms for surveillance. The datset contains over 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)

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Biometric Trade Routes

To understand how this dataset has been used, its citations have been geocoded to show an approximate geographic digital trade route of the biometric data. Lines indicate an organization (education, commercial, or governmental) that has cited the LFW dataset in their research..

Academic
Industry
Government
Data is compiled from Semantic Scholar

A short analysis of the map information

Supplementary Information

Citations

Add graph showing distribution by country. Add information about how the citations were generated. Add button/link to download CSV

RESEARCH below this line

The file is 4.1GB

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