Project-AgML/FruitNet_quality_classification

Fruitnet Quality Classification A dataset for image classification of Fruitnet Quality Classification. The dataset contains 19,526 images across 3 classes: Bad, Good, Mixed.Images per class: Bad: 6,788 Good: 11,664 Mixed: 1,074 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{meshram2022fruitnet, title={FruitNet: Indian fruits image dataset with quality for machine learning applications}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/FruitNet_quality_classification.