Project-AgML/coffee_bean_quality_classification

Coffee Bean Quality Classification

A dataset for quality classification of Coffee Beans. The dataset contains 464 images across 9 classes: A, AA, AAA, AB, Bits, Bulk, C, PB-I, PB-II. Images per class:

• A: 50
• AA: 61
• AAA: 50
• AB: 50
• Bits: 51
• Bulk: 50
• C: 51
• PB-I: 51
• PB-II: 50

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{bj2025cbd,
  title={CBD: Coffee Beans Dataset},
  author={BJ, Bipin Nair and KM, Abrav Nanda and Raghavendra, V and others},
  journal={Data in Brief},
  volume={59},
  pages={111434},
  year={2025},
  publisher={Elsevier}
}```

Nair, Bipin (2024), “CBD_Coffee Bean Dataset”, Mendeley Data, V1, doi: 10.17632/52877z55vr.1