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},
  author={Tahsin, Md and Matin, Md Mafiul Hasan and Khandaker, Mashrufa and Reemu, Redita Sultana and Arnab, Mehrab Islam and Rashid, Mohammad Rifat Ahmmad and Rasel, Md Mostofa Kamal and Islam, Mohammad Manzurul and Islam, Maheen and Ali, Md Sawkat},
  journal={Data in Brief},
  volume={57},
  pages={111109},
  year={2024},
  publisher={Elsevier}
}

Tahsin, Md ; Matin , Md. Mafiul Hasan ; Khandaker, Mashrufa ; Reemu, Redita Sultana ; Arnab , Mehrab Islam ; Rashid, Mohammad Rifat Ahmmad ; Rasel, Md Mostofa Kamal ; Islam, Mohammad Manzurul ; Islam, Maheen; Ali, Sawkat (2024), “An Extensive Image Dataset for Classifying Rice Varieties in Bangladesh”, Mendeley Data, V1, doi: 10.17632/2fgv99854n.1

This dataset was reformatted from its original format to match HuggingFace standards.