Datasets:

Project-AgML
/

cauliflower_leaf_disease_classification

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
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': Black Rot
            '1': Healthy
            '2': Insect Hole
  splits:
    - name: train
      num_bytes: 5068797196
      num_examples: 2661
  download_size: 5260015832
  dataset_size: 5068797196

Cauliflower Leaf Disease Classification

A dataset for disease classification of Cauliflower leaves. The dataset contains 2,661 images across 3 classes: Black Rot, Healthy, Insect Hole.
Images per class:

Black Rot: 1,088
Healthy: 934
Insect Hole: 639

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

Citation

@article{durjoy2025cauliflower,
  title={Cauliflower leaf diseases: A computer vision dataset for smart agriculture},
  author={Durjoy, Sabbir Hossain and Shikder, Md Emon and Shoib, Md Mehedi Hasan and Bijoy, Md Hasan Imam},
  journal={Data in Brief},
  volume={60},
  pages={111594},
  year={2025},
  publisher={Elsevier}
}

Durjoy, Sabbir Hossain; Shikder, Md Emon; Shoib, Md Mehedi Hasan; Bijoy, Md Hasan Imam (2025), “Cauliflower Leaf Diseases: A Computer Vision Dataset for Smart Agriculture”, Mendeley Data, V1, doi: 10.17632/x995snz7p3.1