Datasets:
| configs: | |
| - config_name: default | |
| default: true | |
| license: cc-by-4.0 | |
| task_categories: | |
| - image-classification | |
| size_categories: | |
| - 10K<n<100K | |
| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: label | |
| dtype: | |
| class_label: | |
| names: | |
| '0': earlyblt | |
| '1': healthy | |
| '2': lateblt | |
| # Potato Leaf Blight Classification | |
| A dataset for disease classification of Irish Potato leaves. The dataset contains 58,709 images across 3 classes: earlyblt, healthy, lateblt. | |
| Images per class: | |
| - earlyblt: 17,772 | |
| - healthy: 20,438 | |
| - lateblt: 20,499 | |
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. | |
| ## Citation | |
| ```bibtex | |
| @article{laizer2025irish, | |
| title={Irish potato imagery dataset for detection of early and late blight diseases}, | |
| author={Laizer, Hudson and Mduma, Neema}, | |
| journal={Data in Brief}, | |
| volume={60}, | |
| pages={111549}, | |
| year={2025}, | |
| publisher={Elsevier} | |
| } | |
| ``` | |
| Laizer, H., Mduma, N., Machuve, D., Lyimo, T., Babirye, C., Swai, J., & Siwingwa, A. (2023). Irish Potato Imagery Dataset for Early Detection of Crop Diseases (Version 01) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8286529 |