graviti
Products
Resources
About us
FaceScrub
Classification
Face
|...
License: CC BY-NC-ND 3.0

Overview

A Dataset With Over 100,000 Face Images of 530 People

Large face datasets are important for advancing face recognition research, but they are tedious
to build, because a lot of work has to go into cleaning the huge amount of raw data. To facilitate
this task, we developed an approach to building face datasets that detects faces in images
returned from searches for public figures on the Internet, followed by automatically discarding
those not belonging to each queried person.

The FaceScrub dataset was created using this
approach, followed by manually checking and cleaning the results. It comprises a total of 106,863
face images* of male and female 530 celebrities, with about 200 images per person. As such,
it is one of the largest public face databases.

The images were retrieved from the Internet
and are taken under real-world situations (uncontrolled conditions). Name and gender annotations
of the faces are included.

FaceScrub Male Female Total
# people: 265 265 530
# images: 55,306 51,557 106,863

Sample images

Data Summary
Type
Image,
Amount
106.863K
Size
8.45MB
Provided by
Vintage(Vision & InterAction Group)
Led by Dr. Stefan Winkler, Vintage's research focuses on perception-based image/video processing and analysis.Vintage is now part of the School of Computing at the National University of Singapore (NUS).
| Amount 106.863K | Size 8.45MB
FaceScrub
Classification
Face
License: CC BY-NC-ND 3.0

Overview

A Dataset With Over 100,000 Face Images of 530 People

Large face datasets are important for advancing face recognition research, but they are tedious
to build, because a lot of work has to go into cleaning the huge amount of raw data. To facilitate
this task, we developed an approach to building face datasets that detects faces in images
returned from searches for public figures on the Internet, followed by automatically discarding
those not belonging to each queried person.

The FaceScrub dataset was created using this
approach, followed by manually checking and cleaning the results. It comprises a total of 106,863
face images* of male and female 530 celebrities, with about 200 images per person. As such,
it is one of the largest public face databases.

The images were retrieved from the Internet
and are taken under real-world situations (uncontrolled conditions). Name and gender annotations
of the faces are included.

FaceScrub Male Female Total
# people: 265 265 530
# images: 55,306 51,557 106,863

Sample images

0
Start building your AI now
graviti
wechat-QR
Long pressing the QR code to follow wechat official account

Copyright@Graviti