A dataset for image classification of rice varieties.The raw dataset contains 19,000 images, with 500 per class.The augmented dataset contains 76,000 images, with 2,000 per class.
This dataset is indexed on
https://project-agml.github.io/ as part of the AgML python library.
@article{tahsin2024extensive,
title={An extensive image dataset for deep learning-based classification of rice kernel varieties in Bangladesh}… See the full description on the dataset page:
https://huggingface.co/datasets/Project-AgML/rice_variety_classification_bangladesh.