CelebA-Spoof

CelebA-Spoof is a large-scale face anti-spoofing dataset with the following properties:

1. Quantity: CelebA-Spoof comprises of 625,537 pictures of 10,177 subjects, significantly larger than the existing datasets.
2. Diversity: The spoof images are captured from 8 scenes (2 environments * 4 illumination conditions) with more than 10 sensors.
3. Annotation Richness: CelebA-Spoof contains 10 spoof type annotations, as well as the 40 attribute annotations inherited from the original CelebA dataset.

Source: CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations