| --- |
| configs: |
| - config_name: default |
| default: true |
| features: |
| - name: image |
| dtype: image |
| - name: label |
| dtype: |
| class_label: |
| names: |
| '0': earlyblt |
| '1': healthy |
| '2': lateblt |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # 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 |
