| --- |
| 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 |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Bacterial wilt |
| '1': Blight |
| '2': Fresh Leaf |
| '3': Mosaic Virus |
| '4': Rust |
| '5': Septoria leaf spot |
| - name: crop_type |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 848551862 |
| num_examples: 4467 |
| download_size: 1254776423 |
| dataset_size: 848551862 |
| --- |
| |
| # Bean Cowpea Leaf Disease Classification |
|
|
| A dataset for disease classification of bean and cowpea leaves. The dataset contains 4,467 images across 6 classes: Bacterial wilt, Blight, Fresh Leaf, Mosaic Virus, Rust, Septoria leaf spot. |
| Images per class: |
| - Bacterial wilt: 581 |
| - Blight: 510 |
| - Fresh Leaf: 1,090 |
| - Mosaic Virus: 1,141 |
| - Rust: 568 |
| - Septoria leaf spot: 577 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{hasan2024comprehensive, |
| title={Comprehensive smartphone image dataset for bean and cowpea plant leaf disease detection and freshness assessment from Bangladesh vegetable fields}, |
| author={Hasan, Mahamudul and Gani, Raiyan and Rashid, Mohammad Rifat Ahmmad and Kamara, Raka and Tarin, Taslima Khan and Rabbi, Sheikh Fajlay}, |
| journal={Data in Brief}, |
| volume={57}, |
| pages={111023}, |
| year={2024}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Rashid, Mohammad Rifat Ahmmad; Hasan, Mahamudul; Gani, Raiyan ; Kamara, Raka ; Tarin, Taslima Khan ; Rabbi, Sheikh Fajlay (2024), “Image Dataset for Bean and Cowpea Plant Leaf Disease Detection and Freshness Assessment from Bangladesh ”, Mendeley Data, V1, doi: 10.17632/ykvcrjffzd.1 |
