Project-AgML/FruitVision_quality_classification

FruitVision Quality Classification A dataset for quality classification of apples, bananas, mangoes, grapes, and oranges. The dataset contains raw and augmented versions.The raw dataset contains 10,154 images.Images per class: Formalin-mixed: 3,176 Fresh: 3,800 Rotten: 3,178 The augmented dataset contains 73,389 images.Images per class: Formalin-mixed: 22,228 Fresh: 30,400 Rotten: 20,761 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/FruitVision_quality_classification.