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Project-AgML/african_plum_grading_classification

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… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/african_plum_grading_classification.

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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

bibtex

@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