Project-AgML/tomato_quality_classification

Tomato Quality Classification A dataset for quality classification of Tomatoes. The dataset contains raw and augmented versions.The raw dataset contains 1,986 images.Images per class: Fresh: 1,350 Rotten: 636 The augmented dataset contains 6,000 images.Images per class: Fresh: 3,000 Rotten: 3,000 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{khatun2023extensive, title={An extensive real-world… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/tomato_quality_classification.