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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Multi-Cue Boundary Detection Dataset

Official dataset release by Serre Lab, Brown University.

A dataset of 100 stereo video sequences for studying the interaction of multiple early visual cues (luminance, color, stereo, motion) during boundary detection in natural scenes.

Dataset Specifications

Scenes: 100 natural scenes
Format: Binocular video sequences (left and right views)
Sequence length: 10 frames per scene
Frame rate: 30 fps
Resolution: 1280 x 720 pixels

Files

multicue-dataset.tar.bz2 — Full dataset (~3.4 GB)

Citation

@article{mely2016systematic,
  title={A systematic comparison between visual cues for boundary detection},
  author={M{\'e}ly, David A and Kim, Junkyung and McGill, Mason and Guo, Yihan and Serre, Thomas},
  journal={Vision Research},
  volume={120},
  pages={93--107},
  year={2016}
}

Multi-Cue Boundary Detection Dataset

Dataset Specifications

Files

Citation

Links