Datasets:

Project-AgML
/

potato_leaf_blight

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

@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