README.md

---
configs:
- config_name: raw
  default: true
  data_dir: raw
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': healthy
          '1': not_healthy
- config_name: augmented
  data_dir: augmented
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': healthy
          '1': not_healthy
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 10K<n<100K
---

# Hog Plum Leaf Disease Classificatio

A dataset for disease classification of Hog plum leaves. The dataset contains raw and augmented versions.  
The raw dataset contains 3,782 images.  
Images per class:
- healthy: 2,829
- not_healthy: 953

The augmented dataset contains 20,000 images.  
Images per class:
- healthy: 10,000
- not_healthy: 10,000


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

## Citation

```bibtex
@article{durjoy2025comprehensive,
  title={A comprehensive hog plum leaf disease dataset for enhanced detection and classification},
  author={Durjoy, Sabbir Hossain and Shikder, Md Emon and Mojumdar, Mayen Uddin},
  journal={Data in Brief},
  volume={59},
  pages={111311},
  year={2025},
  publisher={Elsevier}
}
```

Durjoy, Sabbir Hossain; EMON, MD EMON SHIKDER; Mojumdar, Mayen Uddin  (2024), “Hog Plum Leaf Disease Detection Dataset”, Mendeley Data, V1, doi: 10.17632/yvtn2gp8zg.1