CASIA-FASD Face Liveness Detection Dataset

CASIA-FASD is a small face liveness detection dataset containing 50 subjects. Currently, the main methods of face liveness detection include: photo printing, video playback detection, 3D face, etc. The Cornell University team mainly designed two CNN models to improve the versatility and applicability of face anti-spoofing methods.