Datasets:
| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: label | |
| dtype: | |
| class_label: | |
| names: | |
| '0': bacterial_leaf_blight | |
| '1': brown_spot | |
| '2': healthy | |
| '3': leaf_blast | |
| '4': leaf_scald | |
| '5': narrow_brown_spot | |
| splits: | |
| - name: train | |
| num_bytes: 90185777 | |
| num_examples: 773 | |
| download_size: 90205016 | |
| dataset_size: 90185777 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| license: cc-by-4.0 | |
| task_categories: | |
| - image-classification | |
| size_categories: | |
| - n<1K | |
| # Rice Leaf Disease Classification Bd | |
| This dataset features real RGB images of rice leaves collected in field environments across Bangladesh during the Aman 2025 rice season. Captured using a handheld iPhone 12 Pro, the images depict various disease conditions on rice leaves under natural agricultural settings. The collection provides a practical resource for developing and evaluating computer vision models focused on rice disease detection. The dataset contains 773 images across 6 classes: bacterial_leaf_blight, brown_spot, healthy, leaf_blast, leaf_scald, narrow_brown_spot. | |
| Images per class: | |
| - bacterial_leaf_blight: 116 | |
| - brown_spot: 190 | |
| - healthy: 110 | |
| - leaf_blast: 133 | |
| - leaf_scald: 107 | |
| - narrow_brown_spot: 117 | |
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. | |
| ## Citation | |
| ```bibtex | |
| @article{masud2026iot, | |
| title={IoT-RiceMobileNet: An improved lightweight MobileNetV2 Model for real-time multi-class rice disease detection using IoT}, | |
| author={Masud, Khawja Imran and Zihad, Md Yasin and Shuvo, Mehedi Hasan and Jannat, Mst Raonik and Uddin, Jia and Ali, Sahara}, | |
| journal={PLOS One}, | |
| volume={21}, | |
| pages={e0356383}, | |
| year={2026}, | |
| publisher={Public Library of Science} | |
| } | |
| ``` | |
| The dataset itself can be cited as: | |
| eimran. (2026). *eimran/IoT-RiceMobileNet: IoT-RiceMobileNet v1.0.0* (Version v1.0.0) [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.21140529 | |
| *This dataset was reformatted from its original format to match HuggingFace standards.* | |