3DMAD (3D Mask Attack Dataset)

The 3D Mask Attack Database (3DMAD) is a biometric (face) spoofing database. It currently contains 76500 frames of 17 persons, recorded using Kinect for both real-access and spoofing attacks. Each frame consists of:

  • a depth image (640x480 pixels – 1x11 bits)
  • the corresponding RGB image (640x480 pixels – 3x8 bits)
  • manually annotated eye positions (with respect to the RGB image).
Source: 3D Mask Attack Dataset

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