Datasets:
File size: 1,164 Bytes
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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 |