Datasets:
File size: 1,581 Bytes
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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
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```
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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.*
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