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African Plum Grading Classification
A dataset for grade classification of plums. The dataset contains 4,507 images across 6 classes: bruised, cracked, rotten, spotted, unaffected, unripe. Images per class:
- bruised: 319
- cracked: 162
- rotten: 720
- spotted: 759
- unaffected: 1,721
- unripe: 826
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{fadja2025dataset,
title={A dataset of annotated African plum images from Cameroon for AI-based quality assessment},
author={Fadja, Arnaud Nguembang and Tagni, Armel Gabin Fameni and Che, Sain Rigobert and Atemkeng, Marcellin},
journal={Data in Brief},
volume={59},
pages={111351},
year={2025},
publisher={Elsevier}
}
Arnaud Nguembang Fadja, and Armel Gabin Fameni Tagni. (2024). African Plums Dataset [Dataset]. Kaggle. https://doi.org/10.34740/KAGGLE/DSV/9694239
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