---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': earlyblt
          '1': healthy
          '2': lateblt
  splits:
  - name: train
    num_bytes: 8054339920
    num_examples: 55453
  download_size: 7471422377
  dataset_size: 8054339920
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
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