Datasets › 3DMAD
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
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 3 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- 3DMAD
1 variant name, as the archive lists them.
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