| --- |
| 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 |
