Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
License:
File size: 1,666 Bytes
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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.
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