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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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Source Reference

This dataset was sourced and prepared from the original dataset hosted on Roboflow:

🔗 https://universe.roboflow.com/checkbox-detection-ztyeq/checkbox-kwtcz-qkbid/dataset/7

Checkbox Cropped Binary Dataset

This dataset contains cropped checkbox regions extracted from document images for binary classification: checked vs unchecked.

Structure

train/ checked/ unchecked/ valid/ checked/ unchecked/ test/ checked/ unchecked/

Description

  • Images are cropped checkbox regions from scanned documents
  • Each image belongs to one of two classes:
    • checked
    • unchecked
  • Intended for document AI and form understanding tasks

Usage

The dataset can be loaded using the Hugging Face Datasets library or accessed directly as image files.

Notes

This dataset is used in conjunction with a fine-tuned PaliGemma-based checkbox classification model.

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