CelebA-Spoof
Introduced by Zhang et al. in CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations
CelebA-Spoof is a large-scale face anti-spoofing dataset with the following properties:
- Quantity: CelebA-Spoof comprises of 625,537 pictures of 10,177 subjects, significantly larger than the existing datasets.
- Diversity: The spoof images are captured from 8 scenes (2 environments * 4 illumination conditions) with more than 10 sensors.
- Annotation Richness: CelebA-Spoof contains 10 spoof type annotations, as well as the 40 attribute annotations inherited from the original CelebA dataset.
Papers
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