| --- |
| configs: |
| - config_name: augmented |
| data_files: |
| - split: train |
| path: augmented/train-* |
| - config_name: raw |
| data_dir: raw |
| default: true |
| license: cc-by-nc-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| dataset_info: |
| - config_name: augmented |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Alternaria_Leaf |
| '1': Bacterial_Blight |
| '2': Fusarium_Wilt |
| '3': Healthy_Leaf |
| '4': Verticillium_Wilt |
| splits: |
| - name: train |
| num_bytes: 355269281 |
| num_examples: 4963 |
| download_size: 359213105 |
| dataset_size: 355269281 |
| - config_name: raw |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Alternaria_Leaf |
| '1': Bacterial_Blight |
| '2': Fusarium_Wilt |
| '3': Healthy_Leaf |
| '4': Verticillium_Wilt |
| splits: |
| - name: train |
| num_bytes: 60642991 |
| num_examples: 1373 |
| download_size: 61250807 |
| dataset_size: 60642991 |
| --- |
| |
| # Cotton Leaf Disease Classification |
|
|
| A dataset for disease classification of cotton leaves. The dataset contains both the raw data and augmented version. |
| The raw data contains 1373 images distributed between the classes as follows: |
| - Alternaria Leaf Spot: 173 images |
| - Bacterial Blight: 218 images |
| - Fusarium Wilt: 337 images |
| - Healthy Leaf: 333 images |
| - Verticillium Wilt: 312 images |
|
|
| The augmented data contains 4963 images, again distributed as follows: |
| - Alternaria_Leaf: 987 images |
| - Bacterial_Blight: 1027 images |
| - Fusarium_Wilt: 957 images |
| - Healthy_Leaf: 1015 images |
| - Verticillium_Wilt: 977 images |
| |
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
| |
| ## Citation |
| |
| ```bibtex |
| @article{ripon2025cotton, |
| title={Cotton leaf image dataset for disease classification and health monitoring}, |
| author={Ripon, Shamim and Gani, Raiyan and Niha, Nazratan Mazumder and Rahat, Wasimul Bari and Toufiq, Shafaeat Hasan and Maisha, Mushfida Ferdous and Ahmed, Jubaer}, |
| journal={Data in Brief}, |
| pages={112142}, |
| year={2025}, |
| publisher={Elsevier} |
| } |
| ``` |
| |
| Ripon, Shamim; Gani , Raiyan ; Niha, Nazratan Mazumder ; Rahat, Wasimul Bari ; Toufiq, Shafaeat Hasan ; Maisha, Mushfida Ferdous ; Ahmed, Jubaer (2025), “Cotton Leaf Image Dataset for Disease Classification ”, Mendeley Data, V1, doi: 10.17632/t9hgvk2h9p.1 |
| |
