---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Alternaria Leaf Spot
          '1': Cercospora Leaf Spot
          '2': Downy Mildew
          '3': Healthy
          '4': Leaf curly virus
          '5': Phyllosticta leaf spot
  splits:
  - name: train
    num_bytes: 8957179402
    num_examples: 1495
  download_size: 8792577872
  dataset_size: 8957179402
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
---
# OkraDiseaseNet Disease Classification

A dataset for disease classification of okra leaves. The dataset contains 1,495 images across 6 classes: Alternaria Leaf Spot, Cercospora Leaf Spot, Downy Mildew, Healthy, Leaf curly virus, Phyllosticta leaf spot.  
Images per class:
- Alternaria Leaf Spot: 321
- Cercospora Leaf Spot: 212
- Downy Mildew: 214
- Healthy: 313
- Leaf curly virus: 213
- Phyllosticta leaf spot: 222

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

## Citation

```bibtex
@article{sowmiya2025okra,
  title={Okra disease dataset for classification and segmentation: Dataset collection, analysis and applications},
  author={Sowmiya, K and Thenmozhi, M},
  journal={Data in Brief},
  volume={61},
  pages={111662},
  year={2025},
  publisher={Elsevier}
}
```

Kumarakuru, Sowmiya; M, Thenmozhi (2024), “Okra DiseaseNet Dataset”, Mendeley Data, V1, doi: 10.17632/nh7zk4hv8z.1