Project-AgML/plum_leaf_fruit_disease_classification

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