Project-AgML/rice_leaf_disease_classification_2

Rice Leaf Disease Classification 2

This dataset provides real RGB images of rice leaves affected by various diseases, captured in typical agricultural field environments. The images reflect natural farming conditions and disease manifestations, offering a practical resource for developing computer vision models in crop health monitoring. The dataset contains 1,914 images across 3 classes: Bacterial leaf blight, Brown spot, Leaf Blast.
Images per class:

• Bacterial leaf blight: 638
• Brown spot: 638
• Leaf Blast: 638

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

The original train/test/val split has been preserved in the split column.

Citation

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The dataset itself can be cited as:

Shakeel, U. (2025). Rice Leaf Disease [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.15817084

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