Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    ValueError
Message:      Please provide either num_classes, names or names_file.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                      path=dataset,
                      token=hf_token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                      path,
                  ...<4 lines>...
                      **download_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1217, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1192, in dataset_module_factory
                  ).get_module()
                    ~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 621, in get_module
                  metadata_configs = MetadataConfigs.from_dataset_card_data(dataset_card_data)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/metadata.py", line 157, in from_dataset_card_data
                  param: value if param != "features" else Features._from_yaml_list(value)
                                                           ~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2148, in _from_yaml_list
                  return cls.from_dict(from_yaml_inner(yaml_data))
                         ~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1993, in from_dict
                  obj = generate_from_dict(dic)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1574, in generate_from_dict
                  return {key: generate_from_dict(value) for key, value in obj.items()}
                               ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1593, in generate_from_dict
                  return class_type(**{k: v for k, v in obj.items() if k in field_names})
                File "<string>", line 5, in __init__
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1040, in __post_init__
                  raise ValueError("Please provide either num_classes, names or names_file.")
              ValueError: Please provide either num_classes, names or names_file.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Papaya Leaf Disease Detection

A dataset for disease detection of Papaya leaves. The dataset contains 1,050 images with 7,616 bounding box annotations across 5 categories.
The dataset can be used as a classification dataset based on the label column, which contains integer based labels for the following classes:
Anthracnose: 0
Bacterial Spot: 1
Curl: 2
Ring Spot: 3
Healthy: 4

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{mustofa2024bdpapayaleaf,
  title={BDPapayaLeaf: A dataset of papaya leaf for disease detection, classification, and analysis},
  author={Mustofa, Sumaya and Ahad, Md Taimur and Emon, Yousuf Rayhan and Sarker, Arpita},
  journal={Data in Brief},
  volume={57},
  pages={110910},
  year={2024},
  publisher={Elsevier}
}

Sarker, Arpita ; Mustofa, Sumaya; Ahad, Md Taimur (2024), “BDPapayaLeaf: A annotation based image dataset of papaya leaf disease.”, Mendeley Data, V2, doi: 10.17632/p997fvf526.2

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