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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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3DPE-Crack22: Crack Detection in Earthen 3D-Printing

License: CC-BY-4.0 Hugging Face

Overview

The crack-detection-earthen-3dp dataset has been curated by the
Institute of Construction Management, Digital Engineering & Robotics in Construction (ICoM)
at RWTH Aachen University.

It focuses on automated crack detection in earthen 3D-printed structures, aiming to support research in:

  • Defect identification in additive manufacturing for construction.
  • Quality control and monitoring of earthen 3D-printing processes.
  • Computer vision approaches for defect detection and an increase in overall process control and quality.

Dataset Structure

Data Format

  • Images: High-resolution RGB images of 3D-printed earthen walls.
  • Annotations: Pixel-wise masks or bounding boxes for detected cracks.

Additional raw footage exports (optional)

We provide optional original-footage exports in the folder org_footages/:

  • frames_*.zip: 1 fps frame extraction from the corresponding source video.
  • videos_*.zip: the corresponding source video split into short snippets (1 minute per clip).
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