Datasets:
| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: label | |
| dtype: | |
| class_label: | |
| names: | |
| '0': Bacterial leaf blight | |
| '1': Brown spot | |
| '2': Leaf Blast | |
| - name: split | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 512417530 | |
| num_examples: 1914 | |
| download_size: 464347363 | |
| dataset_size: 512417530 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| license: cc-by-4.0 | |
| task_categories: | |
| - image-classification | |
| size_categories: | |
| - 1K<n<10K | |
| # 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 | |
| ```bibtex | |
| <!-- TODO: add BibTeX citation --> | |
| ``` | |
| <!-- TODO: add plain text citation --> | |
| 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.* | |