README.md

---
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

```bibtex
@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