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Datasets:
AxonData
/
ibeta-level-3-dataset

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
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
 Community
1
Dataset Viewer
The dataset viewer is not available for this dataset.
The JWT signature verification failed. Check the signing key and the algorithm.
Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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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.

For feedback and additional sample requests, please contact us!

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