Datasets:

Project-AgML
/

banana_bunch_maturity_classification

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': Cut
            '1': Keep
  splits:
    - name: train
      num_bytes: 4766231111
      num_examples: 2685
  download_size: 4881450853
  dataset_size: 4766231111

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, 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