Datasets:

Project-AgML
/

hog_plum_leaf_disease_classification

configs:
  - config_name: raw
    default: true
    data_dir: raw
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': healthy
              '1': not_healthy
  - config_name: augmented
    data_dir: augmented
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': healthy
              '1': not_healthy
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 10K<n<100K

Hog Plum Leaf Disease Classificatio

A dataset for disease classification of Hog plum leaves. The dataset contains raw and augmented versions.
The raw dataset contains 3,782 images.
Images per class:

healthy: 2,829
not_healthy: 953

The augmented dataset contains 20,000 images.
Images per class:

healthy: 10,000
not_healthy: 10,000

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{durjoy2025comprehensive,
  title={A comprehensive hog plum leaf disease dataset for enhanced detection and classification},
  author={Durjoy, Sabbir Hossain and Shikder, Md Emon and Mojumdar, Mayen Uddin},
  journal={Data in Brief},
  volume={59},
  pages={111311},
  year={2025},
  publisher={Elsevier}
}

Durjoy, Sabbir Hossain; EMON, MD EMON SHIKDER; Mojumdar, Mayen Uddin (2024), “Hog Plum Leaf Disease Detection Dataset”, Mendeley Data, V1, doi: 10.17632/yvtn2gp8zg.1