Datasets:

Project-AgML
/

OkraDiseaseNet_disease_classification

dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': Alternaria Leaf Spot
            '1': Cercospora Leaf Spot
            '2': Downy Mildew
            '3': Healthy
            '4': Leaf curly virus
            '5': Phyllosticta leaf spot
  splits:
    - name: train
      num_bytes: 8957179402
      num_examples: 1495
  download_size: 8792577872
  dataset_size: 8957179402
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K

OkraDiseaseNet Disease Classification

A dataset for disease classification of okra leaves. The dataset contains 1,495 images across 6 classes: Alternaria Leaf Spot, Cercospora Leaf Spot, Downy Mildew, Healthy, Leaf curly virus, Phyllosticta leaf spot.
Images per class:

Alternaria Leaf Spot: 321
Cercospora Leaf Spot: 212
Downy Mildew: 214
Healthy: 313
Leaf curly virus: 213
Phyllosticta leaf spot: 222

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

Citation

@article{sowmiya2025okra,
  title={Okra disease dataset for classification and segmentation: Dataset collection, analysis and applications},
  author={Sowmiya, K and Thenmozhi, M},
  journal={Data in Brief},
  volume={61},
  pages={111662},
  year={2025},
  publisher={Elsevier}
}

Kumarakuru, Sowmiya; M, Thenmozhi (2024), “Okra DiseaseNet Dataset”, Mendeley Data, V1, doi: 10.17632/nh7zk4hv8z.1