Datasets:

Project-AgML
/

coffee_bean_quality_classification

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - n<1K
dataset_info:
  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
  splits:
    - name: train
      num_bytes: 337112006
      num_examples: 464
  download_size: 337127494
  dataset_size: 337112006

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