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.
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