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CelebA-Spoof

Large-scale face anti-spoofing dataset

CelebA-Spoof

CelebA-Spoof is a large-scale face anti-spoofing dataset that has 625,537 images from 10,177 subjects, which includes 43 rich attributes on face, illumination,environment and spoof types. Live image selected from the CelebA dataset. We collect and annotate spoof images of CelebA-Spoof.Among 43 rich attributes, 40 attributes belong to live images including all facial components and accessories such as skin, nose, eyes, eyebrows, lip, hair, hat, eyeglass. 3 attributes belong to spoof images including spoof types, environments and illumination conditions.CelebA-Spoof can be used to train and evaluate algorithms of face anti-spoofing.

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Beijing Jiaotong University, Beijing, China
http://en.njtu.edu.cn
Task
Face Recognition
Annotation Types
Bounding Boxes
625537
Items
10177
Classes
625537
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Research Only
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