Datasets:
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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 |