Project-AgML/BananaImageBD_ripeness_classification

BananaImageBD Ripeness Classification

A dataset for ripeness classification of bananas. The dataset contains raw and augmented versions.
The raw dataset contains 820 images.
Images per class:

• Green: 212
• Overripe: 203
• Ripe: 201
• Semi-ripe: 204

The augmented dataset contains 2,457 images.
Images per class:

• Green: 636
• Overripe: 609
• Ripe: 603
• Semi-ripe: 609

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

Citation

@article{ferdaus2025bananaimagebd,
  title={BananaImageBD: A comprehensive banana image dataset for classification of banana varieties and detection of ripeness stages in Bangladesh},
  author={Ferdaus, Md Hasanul and Prito, Rizvee Hassan and Rasel, Ahmed Abdal Shafi and Ahmed, Masud and Saykot, Md Jahid Hassan and Shanta, Shanjida Sultan and Akter, Sonali and Das, Ankan Chandra and Islam, Mohammad Manzurul and Hasan, Mahamudul and others},
  journal={Data in Brief},
  volume={58},
  pages={111239},
  year={2025},
  publisher={Elsevier}
}

Ferdaus, Md Hasanul; Prito, Rizvee Hassan; Rasel, Ahmed Abdal Shafi Rasel; Ahmed, Masud; Saykot, Md. Jahid Hassan; Shanta, Shanjida Sultan; Akter, Sonali; Das, Ankan Chandra; Islam, Mohammad Manzurul; Hasan, Mahamudul; Ali, Sawkat (2024), “BananaImageBD: A Comprehensive Image Dataset of Common Banana Varieties with Different Ripeness Stages in Bangladesh.”, Mendeley Data, V2, doi: 10.17632/ptfscwtnyz.2