Project-AgML/rice_variety_classification_bangladesh
Rice Variety Classification Bangladesh 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. Citation @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.
Conversations for this repository live on Hugging Face.
CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.
Open discussions on Hugging Face