| --- |
| configs: |
| - config_name: default |
| default: true |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': Black leaf spot |
| '1': Downey mildew |
| '2': Fresh leaf |
| '3': Mosaic virus |
| '4': flea beetle |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Radish Leaf Disease Classification |
|
|
| A dataset for disease classification of radish leaves. The dataset contains 2,801 images across 5 classes: Black leaf spot, Downey mildew, Fresh leaf, Mosaic virus, flea beetle. |
| Images per class: |
| - Black leaf spot: 526 |
| - Downey mildew: 601 |
| - Fresh leaf: 613 |
| - Mosaic virus: 548 |
| - flea beetle: 513 |
|
|
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{hasan2025smartphone, |
| title={Smartphone image dataset for radish plant leaf disease classification from Bangladesh}, |
| author={Hasan, Mahamudul and Gani, Raiyan and Rashid, Mohammad Rifat Ahmmad and Isty, Maherun Nessa and Kamara, Raka and Tarin, Taslima Khan}, |
| journal={Data in Brief}, |
| volume={58}, |
| pages={111263}, |
| year={2025}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| Rashid, Mohammad Rifat Ahmmad; Hasan, Mahamudul; Gani, Raiyan ; Tarin, Taslima Khan ; Kamara, Raka ; Rabbi, Sheikh Fajlay (2024), “Image Dataset for Radish Plant Leaf Disease Detection and Freshness Assessment from Bangladesh ”, Mendeley Data, V1, doi: 10.17632/s973cz2jcd.1 |
