---
configs:
- config_name: default
  default: true
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': Bacterial Leaf Spot
          '1': Downy Mildew
          '2': Healthy Leaves
          '3': Powdery Mildew
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---

# Grape Leaf Disease Classification

A dataset for image classification of Grape Leaf Disease.  The dataset contains 2,726 images across 4 classes: Bacterial Leaf Spot, Downy Mildew, Healthy Leaves, Powdery Mildew.
Images per class:
- Bacterial Leaf Spot: 100
- Downy Mildew: 966
- Healthy Leaves: 1,254
- Powdery Mildew: 406

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

## Citation

```bibtex
@article{dharrao2025grapes,
  title={Grapes leaf disease dataset for precision agriculture},
  author={Dharrao, Madhuri and Zade, Nilima and Kamatchi, R and Sonawane, Rakesh and Henry, Rabinder and Dharrao, Deepak},
  journal={Data in Brief},
  volume={61},
  pages={111716},
  year={2025},
  publisher={Elsevier}
}```

Dharrao, Madhuri; Dharrao, Deepak; Sonawane, Rakesh; zade, Nilima (2025), “Niphad Grape Leaf Disease Dataset (NGLD)”, Mendeley Data, V5, doi: 10.17632/8nnd2ypcv3.5