| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Bacterial leaf Blight |
| '1': Dry_leaf |
| '2': Healthy |
| '3': Root_images |
| '4': Septoria_Brown_Spot |
| '5': Vein Necrosis |
| splits: |
| - name: train |
| num_bytes: 2839590431 |
| num_examples: 1176 |
| download_size: 2848562521 |
| dataset_size: 2839590431 |
| 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 |
| --- |
| |
| # Soybean Leaf Disease Classification |
|
|
| A dataset for disease classification of soybean leaves. The dataset contains 1,176 images across 6 classes: Bacterial leaf Blight, Dry_leaf, Healthy, Root_images, Septoria_Brown_Spot, Vein Necrosis. |
| Images per class: |
| - Bacterial leaf Blight: 226 |
| - Dry_leaf: 230 |
| - Healthy: 288 |
| - Root_images: 10 |
| - Septoria_Brown_Spot: 284 |
| - Vein Necrosis: 138 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{kotwal2024india, |
| title={An India soyabean dataset for identification and classification of diseases using computer-vision algorithms}, |
| author={Kotwal, Jameer and Kashyap, Ramgopal and Pathan, Mohd Shafi}, |
| journal={Data in Brief}, |
| volume={53}, |
| pages={110216}, |
| year={2024} |
| } |
| ``` |
|
|
| Kotwal, Jameer ; kashyap, Ramgopal (2023), “ An India soyabean leaf dataset”, Mendeley Data, V1, doi: 10.17632/bshkvgbzpt.1 |
