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Datasets:
prithivMLmods
/
BnW-vs-Colored-10K

Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
B&W
Colored
Classification
art
BnW
10K
Libraries:
Datasets
Dask
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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BnW-vs-Colored-10K

BnW-vs-Colored-10K is a curated dataset of 10,000 images designed for binary image classification tasks distinguishing between black & white (BnW) and colored images. This dataset can be used for training models in visual recognition, restoration, or filtering pipelines involving grayscale and color detection.

Dataset Summary

  • Task: Binary Image Classification
  • Modalities: Image
  • Formats: Parquet
  • Split: Train (10,000 images)
  • Labels: B & W (Black and White), Colored
  • Language: English
  • License: Apache 2.0
  • Size: 4.15 GB

Features

Column Type Description
image Image Input image (JPEG format)
label Class Binary label: B & W or Colored

Label Information

Label ID Class Name
0 B & W
1 Colored

Example Entries

Image Label
B & W
Colored

Usage

You can load the dataset using the datasets library from Hugging Face:

from datasets import load_dataset

dataset = load_dataset("prithivMLmods/BnW-vs-Colored-10K")

To visualize an example:

import matplotlib.pyplot as plt

example = dataset["train"][0]
plt.imshow(example["image"])
plt.title(example["label"])
plt.axis("off")
plt.show()

Applications

  • Colorization model pre/post-processing
  • Restoration of old photos
  • Image enhancement and filtering
  • Historical document processing
  • AI art stylization models

License

This dataset is made available under the Apache 2.0 License.

Curated & Maintained by @prithivMLmods. For inquiries or contributions, please open an issue or submit a pull request.
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Total file size:
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