Datasets:
Tasks:
Video Classification
Modalities:
Video
Languages:
English
Size:
< 1K
Tags:
ibeta-level-3
ibeta-certification
face-anti-spoofing
face-liveness-detection
liveness-detection
presentation-attack-detection
License:
metadata
license: cc-by-nc-4.0
tags:
- ibeta-level-3
- ibeta-certification
- face-anti-spoofing
- face-liveness-detection
- liveness-detection
- presentation-attack-detection
- pad
- biometrics
- face-recognition
- spoofing
- anti-spoofing
- 3d-mask-attack
- rubber-mask
- 3d-resin-mask
- silicone-mask-alternative
- high-fidelity-mask
- iso-30107-3
- active-liveness
- ekyc
- identity-verification
- biometric-authentication
- incode-ibeta-l3
- veridas-ibeta-l3
task_categories:
- video-classification
language:
- en
size_categories:
- 1K<n<10K
pretty_name: iBeta Level 3 Dataset
iBeta Level 3 Dataset: 10,000+ Resin Mask Attack Videos
First-to-market anti-spoofing dataset for iBeta Level 3 certification testing. 10,000+ attack videos with 12+ premium resin masks — the most advanced and realistic attack type in the PAD taxonomy.
Resin masks are custom-manufactured to replicate specific individuals' facial features with high precision, making them significantly harder to detect than silicone or latex masks.
Dataset Details
- 10,000+ videos*, multiframe
- 12+ unique resin masks — balanced mix of genders
- Captured on iOS and Android phones
- Active liveness prompts: zoom in/out, right/left head rotation, head tilt
- Indoor locations with varied lighting conditions
- Partially paired - some masks include genuine face videos of the same subject
Use Cases
- iBeta Level 3 pre-certification — evaluate liveness detection models against resin mask attacks before submitting to iBeta testing
- PAD system hardening — stress-test anti-spoofing pipelines with the most realistic attack type available
- Active liveness R&D — train models that rely on motion-based cues (zoom, rotation, tilt) to detect mask presentations

