ibeta

iBeta (Level 2) Certified, Single-Image Based Face Liveness Detection (Face Anti Spoofing) Server SDK

Silicone mask attack dataset for face anti-spoofing and liveness detection. 12,500+ videos, 18 silicone masks, 40+ accessory combinations. iBeta Level 2 compliant

Display replay attack dataset for face anti-spoofing and liveness detection. 9,000+ videos from 6,500+ participants across PC monitors and mobile devices

Partial paper mask attack dataset for face anti-spoofing, liveness detection, and presentation attack detection (PAD). 3,000 videos, 50 participants, dual-device capture.

Train presentation attack detection and liveness models with this dataset for face anti-spoofing.

Face anti-spoofing dataset for AI model training. Sample preview of Axon Labs' commercial PAD library covering paper, replay, and 3D mask attacks across iBeta certification levels

iBeta Level 1 dataset for face anti-spoofing and liveness detection. 30,000+ PAD attack videos (paper, cutout, replay) from 85+ participants. ISO/IEC 30107-3 compliant

Liveness detection dataset for face anti-spoofing model training. Sample preview of Axon Labs' commercial PAD library covering iBeta Level 1, 2, and 3 attacks

Cardboard mask attack dataset with real accessories (wigs, glasses, hats) for face anti-spoofing, liveness detection, and PAD. 3,000 videos, 50 participants, multi-device capture

iBeta Level 2 dataset for face anti-spoofing and liveness detection. 25,000+ videos from 150+ IDs with silicone, latex, wrapped 3D, and cloth mask attacks