Datasets:
| configs: | |
| - config_name: raw | |
| default: true | |
| license: cc-by-4.0 | |
| task_categories: | |
| - image-classification | |
| size_categories: | |
| - 1K<n<10K | |
| dataset_info: | |
| config_name: raw | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: label | |
| dtype: | |
| class_label: | |
| names: | |
| '0': Aphid | |
| '1': Downy mildew | |
| '2': Healthy | |
| '3': Leaf curl | |
| '4': Leaf miner | |
| splits: | |
| - name: train | |
| num_bytes: 1191382310 | |
| num_examples: 2676 | |
| download_size: 1169242117 | |
| dataset_size: 1191382310 | |
| # Ash Gourd Disease Classification | |
| A dataset for disease classification of ash gourd. | |
| The dataset contains 2,676 images. | |
| Images per class: | |
| - Aphid: 140 | |
| - Downy mildew: 1066 | |
| - Healthy: 803 | |
| - Leaf curl: 528 | |
| - Leaf miner: 139 | |
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. | |
| ## Citation | |
| ```bibtex | |
| @article{jahan2025dataset, | |
| title={Dataset of Ash gourd plant leaf images for detection and classification}, | |
| author={Jahan, Nusrat and Hasan, Md Zahid}, | |
| journal={Data in Brief}, | |
| pages={111997}, | |
| year={2025}, | |
| publisher={Elsevier} | |
| } | |
| ``` | |
| Jahan, Nusrat; Hasan, Md Zahid (2024), “Ash Gourd Leaf Healthy and Disease Dataset”, Mendeley Data, V2, doi: 10.17632/zj4th6xvdp.2 |