Datasets:
File size: 1,960 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Bipolaris_Maydis
'1': Common_Rust
'2': Curvularia_Lunata(wakker)boed_Spot
'3': Northern-Leaf-Blight
'4': Own-Spot
'5': Sheath-Blight
splits:
- name: train
num_bytes: 69223597
num_examples: 600
download_size: 69234645
dataset_size: 69223597
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- n<1K
---
# Corn Leaf Disease Classification
This dataset provides real RGB images of corn leaves affected by various diseases, captured in field environments across northern Anhui Province, China. Images were acquired using a NIKON D810 camera at 1001x1500 pixels resolution, delivering high-fidelity visual data for agricultural disease detection research. The dataset contains 600 images across 6 classes: Bipolaris_Maydis, Common_Rust, Curvularia_Lunata(wakker)boed_Spot, Northern-Leaf-Blight, Own-Spot, Sheath-Blight.
Images per class:
- Bipolaris_Maydis: 100
- Common_Rust: 100
- Curvularia_Lunata(wakker)boed_Spot: 100
- Northern-Leaf-Blight: 100
- Own-Spot: 100
- Sheath-Blight: 100
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{bai2025lightweight,
title={A lightweight model and corn leaf disease recognition},
author={Bai, Lujie and Zhu, Shaoqiu and Gao, Haitao},
journal={PLOS One},
volume={20},
pages={e0336945},
year={2025},
publisher={Public Library of Science}
}
```
The dataset itself can be cited as:
Bai, L. (2025). *A lightweight model and corn leaf disease recognition* [Dataset]. figshare. https://doi.org/10.6084/M9.FIGSHARE.30264037.V6
*This dataset was reformatted from its original format to match HuggingFace standards.*
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