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CASIA-FASD Face Liveness Detection Dataset
Date
3 years ago
Publish URL
Paper URL
License
Other
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.
This dataset is contributed by community users and is intended for educational and informational purposes only. If any content involves copyright infringement, please contact us at support@hyper.ai for prompt review and removal.
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