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+ ---
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+ configs:
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+ - config_name: default
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+ default: true
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: label
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+ dtype:
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+ class_label:
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+ names:
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+ '0': A
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+ '1': AA
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+ '2': AAA
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+ '3': AB
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+ '4': Bits
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+ '5': Bulk
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+ '6': C
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+ '7': PB-I
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+ '8': PB-II
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+ license: cc-by-4.0
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+ task_categories:
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+ - image-classification
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # Coffee Bean Quality Classification
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+
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+ 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.
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+ Images per class:
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+ - A: 50
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+ - AA: 61
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+ - AAA: 50
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+ - AB: 50
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+ - Bits: 51
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+ - Bulk: 50
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+ - C: 51
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+ - PB-I: 51
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+ - PB-II: 50
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+
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+ This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @article{bj2025cbd,
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+ title={CBD: Coffee Beans Dataset},
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+ author={BJ, Bipin Nair and KM, Abrav Nanda and Raghavendra, V and others},
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+ journal={Data in Brief},
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+ volume={59},
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+ pages={111434},
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+ year={2025},
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+ publisher={Elsevier}
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+ }```
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+
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+ Nair, Bipin (2024), “CBD_Coffee Bean Dataset”, Mendeley Data, V1, doi: 10.17632/52877z55vr.1