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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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+ # ๐Ÿ‡๐Ÿƒ 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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