Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
License:
Update README.md
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README.md
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pretty_name: Grape Leaf Disease Augmented Dataset
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size_categories:
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pretty_name: Grape Leaf Disease Augmented Dataset
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---
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# ๐๐ Grape Leaf Disease Augmented Dataset`
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## Information
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This dataset consists of 18,054 grape leaf images across 4 class (ESCA, Leaf Blight, Black Rot, Healthy) for use in image classification tasks.
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Dataset has been created as a modification to the original dataset from the PlantVillage dataset: https://www.kaggle.com/datasets/abdallahalidev/plantvillage-dataset
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The images have been used from this dataset: https://www.kaggle.com/datasets/rm1000/grape-disease-dataset-original/data
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This dataset has been created and used as a part of the work on a bachelor thesis.
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---
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## Supported Tasks
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- `image-classification`
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---
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## Dataset Structure
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The dataset consists of 4 classes, with the following distribution across the training and test sets:
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### Class Distribution
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| Class Name | Train | Test | Total |
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|------------------|-------|------|-------|
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| Black Rot | 3,776 | 944 | 4,720 |
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| ESCA | 3,840 | 960 | 4,800 |
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| Leaf Blight | 3,444 | 860 | 4,304 |
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| Healthy | 3,384 | 846 | 4,230 |
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| **Total** |14,444 | 3,610 |18,054 |
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## Dataset Creation
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### Original Sources
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- https://www.kaggle.com/datasets/abdallahalidev/plantvillage-dataset
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- https://www.kaggle.com/datasets/rm1000/grape-disease-dataset-original/data
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### Creation Process
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This dataset has been created using OpenCV Python library.
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Background pictures were taken in the region of Bratislava, Slovakia in January 2025.
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