---
configs:
- config_name: default
  default: true
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': A
          '1': AA
          '2': AAA
          '3': AB
          '4': Bits
          '5': Bulk
          '6': C
          '7': PB-I
          '8': PB-II
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- n<1K
---

# 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

```bibtex
@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