README.md

metadata

license: cc-by-nc-4.0
tags:
  - video-classification
  - ibeta level 3
  - ibeta 3
  - ibeta
  - ibeta certification
  - resin mask
  - 3d mask attack
  - liveness detection
  - anti-spoofing
  - face anti-spoofing
  - presentation attack detection
  - PAD attack
  - biometrics
  - facial recognition
  - face recognition
  - deep learning
  - machine learning
  - computer vision
  - security
task_categories:
  - video-classification
language:
  - en
size_categories:
  - 1K<n<10K

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

1. iBeta Level 3 pre-certification — evaluate liveness detection models against resin mask attacks before submitting to iBeta testing
2. PAD system hardening — stress-test anti-spoofing pipelines with the most realistic attack type available
3. Active liveness R&D — train models that rely on motion-based cues (zoom, rotation, tilt) to detect mask presentations

Full version of dataset is available for commercial usage — leave a request on Axon Labs website.