---
license: cc-by-nc-sa-4.0
task_categories:
- image-classification
language:
- en
tags:
- biology
- grape
- leaf
- disease
size_categories:
- 10K<n<100K
pretty_name: Grape Leaf Disease Augmented Dataset
---

# 🍇🍃 Grape Leaf Disease Augmented Dataset`

## Information

This dataset consists of 18,054 grape leaf images across 4 class (ESCA, Leaf Blight, Black Rot, Healthy) for use in image classification tasks.

Dataset has been created as a modification to the original dataset from the PlantVillage dataset: https://www.kaggle.com/datasets/abdallahalidev/plantvillage-dataset

The images have been used from this dataset: https://www.kaggle.com/datasets/rm1000/grape-disease-dataset-original/data

This dataset has been created and used as a part of the work on a bachelor thesis.

---

## Supported Tasks

- `image-classification`

---

## Dataset Structure
The dataset consists of 4 classes, with the following distribution across the training and test sets:

### Class Distribution

| Class Name       | Train | Test | Total |
|------------------|-------|------|-------|
| Black Rot        | 3,776 | 944  | 4,720 |
| ESCA             | 3,840 | 960  | 4,800 |
| Leaf Blight      | 3,444 | 860  | 4,304 |
| Healthy          | 3,384 | 846  | 4,230 |
| **Total**        |14,444 | 3,610 |18,054 |

## Dataset Creation

### Original Sources

- https://www.kaggle.com/datasets/abdallahalidev/plantvillage-dataset
- https://www.kaggle.com/datasets/rm1000/grape-disease-dataset-original/data

### Creation Process

This dataset has been created using OpenCV Python library.
Background pictures were taken in the region of Bratislava, Slovakia in January 2025.