Datasets:

Project-AgML
/

plum_leaf_fruit_disease_classification

configs:
  - config_name: augmented
    data_files:
      - split: train
        path: augmented/train-*
  - config_name: raw
    data_dir: raw
    default: true
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 10K<n<100K
dataset_info:
  - config_name: augmented
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Bacterial Spot
              '1': Healthy Fruit
              '2': Healthy Leaf
              '3': Shot Hole
              '4': Unhealthy Fruit
              '5': Wilted Leaf
    splits:
      - name: train
        num_bytes: 247715610
        num_examples: 18000
    download_size: 228339604
    dataset_size: 247715610
  - config_name: raw
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': Dead Leaf
              '1': Healthy Fruit
              '2': Healthy Leaf
              '3': Insect Hole
              '4': Unhealthy Fruit
              '5': Yellow
    splits:
      - name: train
        num_bytes: 6007284321
        num_examples: 3554
    download_size: 7375456333
    dataset_size: 6007284321

Plum Leaf Fruit Disease Classification

A dataset for disease classification of plum leaves and fruit. The dataset contains raw and augmented versions.
The raw dataset contains 3,554 images.
Images per class:

Dead Leaf: 548
Healthy Fruit: 560
Healthy Leaf: 735
Insect Hole: 643
Unhealthy Fruit: 476
Yellow: 592

The augmented dataset contains 18,000 images.
Images per class:

Bacterial Spot: 3,000
Healthy Fruit: 3,000
Healthy Leaf: 3,000
Shot Hole: 3,000
Unhealthy Fruit: 3,000
Wilted Leaf: 3,000

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

Citation

@article{nayeem2025comprehensive,
  title={A comprehensive image dataset of Plum leaf and fruit for disease classification},
  author={Nayeem, Rejowan Arifin and Al Muhib, SM Abdullah and Marjan, Shahriar and Bijoy, Md Hasan Imam and Assaduzzaman, Md},
  journal={Data in Brief},
  volume={60},
  pages={111625},
  year={2025},
  publisher={Elsevier}
}

Nayeem, Rejowan Arifin; Muhib, S.M. Abdullah Al; Marjan, Shahriar; Bijoy, Md Hasan Imam; Assaduzzaman, Md (2025), “A Comprehensive Image Dataset of Plum Leaf and Fruit for Disease Detection and Classification”, Mendeley Data, V1, doi: 10.17632/w7sdx55m7z.1