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2D Mask Attack Dataset - 26 436 videos
The dataset comprises 26,436 videos of real faces, 2D print attacks (printed photos), and replay attacks (faces displayed on screens), captured under varied conditions. Designed for attack detection research, it supports the development of robust face antispoofing and spoofing detection methods, critical for facial recognition security.
Ideal for training models and refining anti-spoofing methods, the dataset enhances detection accuracy in biometric systems. - Get the data
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Researchers can leverage this training data to improve detection accuracy, validate models trained on adversarial examples, and advance recognition systems against sophisticated masked attacks.
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