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Datasets:
prithivMLmods
/
Math-Shapes

Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
10K - 100K
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
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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Math-Symbols Dataset

Overview

The Math-Symbols dataset is a collection of images representing various mathematical symbols. This dataset is designed for machine learning applications, particularly in the fields of image recognition, optical character recognition (OCR), and symbol classification.

Dataset Details

  • Name: Math-Symbols
  • Type: Image dataset
  • Format: Images with corresponding labels
  • Size: 131MB (downloaded dataset files), 118MB (auto-connected Parquet files)
  • Number of Rows: 20,000
  • Image Dimensions: 224px x 224px
  • Classes: 128 different mathematical symbols (e.g., circle, plus, minus, etc.)

Usage

This dataset is intended for use in machine learning models that require image recognition and classification of mathematical symbols. It can be used for training, validation, and testing of models in various image processing tasks.

Structure

The dataset is structured as follows:

  • Images: Each image is a 224px x 224px representation of a mathematical symbol.
  • Labels: Each image is associated with a class label indicating the mathematical symbol it represents.

Examples

Here are a few examples of the classes included in the dataset:

  1. Circle
  2. Plus
  3. Minus
  4. Integral
  5. Square root

Splits

The dataset is divided into the following splits:

  • Train: 12,000 rows
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Models trained or fine-tuned on prithivMLmods/Math-Shapes