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Project-AgML/banana_bunch_maturity_classification

Banana Bunch Maturity Classification A dataset for mautrity classification of banana bunches. The dataset contains 2,685 images across 2 classes: Cut, Keep. Images per class: Cut: 1,143 Keep: 1,542 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{baglat2025multi, title={A multi-stage dataset for banana bunch detection and harvesting decision support}, author={Baglat, Preety and Mendon{\c{c}}a… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/banana_bunch_maturity_classification.

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Banana Bunch Maturity Classification

A dataset for mautrity classification of banana bunches. The dataset contains 2,685 images across 2 classes: Cut, Keep. Images per class:

—Cut: 1,143
—Keep: 1,542

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

bibtex

@article{baglat2025multi,
  title={A multi-stage dataset for banana bunch detection and harvesting decision support},
  author={Baglat, Preety and Mendon{\c{c}}a, F{\'a}bio and Mostafa, Shanawaz and Morgado-Dias, Fernando},
  journal={Data in Brief},
  pages={112337},
  year={2025},
  publisher={Elsevier}
}```

Hayat, Ahatsham; Baglat, Preety; Mendonça, Fabio; Mostafa, Sheikh Shanawaz; Morgado-Dias, Fernando  (2024), “Banana Bunch Harvesting Dataset”, Mendeley Data, V1, doi: 10.17632/kjrsb7ztr9.1