Datasets:
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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 |