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

• In terms of quantity: 625,537 photos of 10,177 individuals, larger than existing datasets.
• Diversity: The spoof images are captured from 8 scenes (2 environments * 4 lighting conditions) with more than 10 camera sensors.
• Annotation richness: CelebA-Spoof contains 10 spoofing type annotations, as well as CelebA datasetInherited 40 property annotations.

Citation

@inproceedings{ CelebA-Spoof, title={CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations}, author={Zhang, Yuanhan and Yin, Zhenfei and Li, Yidong and Yin, Guojun and Yan, Junjie and Shao, Jing and Liu, Ziwei} booktitle={European Conference on Computer Vision (ECCV)}, year={2020} }