Datasets › CelebA-Spoof

CelebA-Spoof

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.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

No paper in the archive has a leaderboard row on this dataset; the archive counts 28 papers for it but never published that list.

1 loader as listed in the archive; links are outbound and not re-checked here.

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

No language tagged.

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections