Project-AgML/Musa_banana_tier_classification

Musa Banana Tier Classification

This dataset contains real RGB images of banana tiers (post-harvest segments of Musa acuminata bunches) captured in a controlled laboratory environment across locations in the Philippines. Images were acquired using a fixed-position A4Tech PK-910H camera, providing standardized visual data for tier classification research in agricultural settings. The dataset contains 1,164 images across 4 classes: 1, 2, 3, 4.
Images per class:

• 1: 390
• 2: 294
• 3: 180
• 4: 300

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

Citation

@article{piedad2023post,
  title={Post-harvested Musa acuminata Banana Tiers Dataset},
  author={Piedad, Eduardo Jr and Caladcad, June Anne},
  journal={Data in Brief},
  volume={46},
  pages={108856},
  year={2023},
  publisher={Elsevier}
}

Piedad, Eduardo Jr; Ferrer, Laura Vithalie; Pojas, Glydel; Cascabel, Honey Faith; Pantilgan, Rosemarie; Larada, Julaiza; Cabinatan, Ian Paul (2018), “Tier-based Dataset: Musa-Acuminata Banana Fruit Species”, Mendeley Data, V2, doi: 10.17632/zk3tkxndjw.2

This dataset was reformatted from its original format to match HuggingFace standards.