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).
The full database description and the download can be found here: 3DMAD