---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Bacterial_Spot
          '1': Brown_Blight
          '2': Dry
          '3': Healthy
          '4': Powdery_Mildew
          '5': Sooty_Mold
  splits:
  - name: train
    num_bytes: 114997934
    num_examples: 2400
  download_size: 114274185
  dataset_size: 114997934
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Java Plum Leaf Disease Classification

A dataset for disease classification of Java Plum leaves. The dataset contains 2,400 images across 6 classes: Bacterial_Spot, Brown_Blight, Dry, Healthy, Powdery_Mildew, Sooty_Mold.  
Images per class:
- Bacterial_Spot: 400
- Brown_Blight: 400
- Dry: 400
- Healthy: 400
- Powdery_Mildew: 400
- Sooty_Mold: 400

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

## Citation

```bibtex
@article{bhowmik2024customised,
  title={A customised Vision Transformer for accurate detection and classification of Java Plum leaf disease},
  author={Bhowmik, Auvick Chandra and Ahad, Md Taimur and Emon, Yousuf Rayhan and Ahmed, Faruk and Song, Bo and Li, Yan},
  journal={Smart Agricultural Technology},
  volume={8},
  pages={100500},
  year={2024},
  publisher={Elsevier}
}
```

Bhowmik, Auvick Chandra; Ahad, Taimur (2024), “Java Plum Leaf Disease Dataset”, Mendeley Data, V3, doi: 10.17632/43d75vptz4.3