Project-AgML/Dhan-Shomadhan_rice_leaf_disease_classification

Dhan Shomadhan Rice Leaf Disease Classification

This dataset provides real-world RGB images of rice leaves affected by multiple disease symptoms, captured under natural agricultural conditions. It offers a practical resource for developing and evaluating computer vision models in agricultural disease detection and monitoring applications. The dataset contains 1,106 images across 8 classes: Brown Spot, Browon Spot, Leaf Scaled, Rice Blast, Rice Tungro, Rice Turgro, Shath Blight, Sheath Blight.
Images per class:

• Brown Spot: 90
• Browon Spot: 49
• Leaf Scaled: 217
• Rice Blast: 272
• Rice Tungro: 119
• Rice Turgro: 76
• Shath Blight: 219
• Sheath Blight: 64

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

Citation

@article{hossain2023dhan,
  title={Dhan-Shomadhan: A dataset of rice leaf disease classification for Bangladeshi local rice},
  author={Hossain, Md Fahad},
  journal={arXiv preprint arXiv:2309.07515},
  year={2023}
}

Hossain, Md Fahad; Abujar , Sheikh ; Noori, Sheak Rashed Haider ; Hossain, Syed Akhter (2021), “Dhan-Shomadhan: A Dataset of Rice Leaf Disease Classification for Bangladeshi Local Rice”, Mendeley Data, V1, doi: 10.17632/znsxdctwtt.1

This dataset was reformatted from its original format to match HuggingFace standards.