Project-AgML/oil_palm_fruit_ripeness_classification

Oil Palm Fruit Ripeness Classification

A dataset for ripeness classification of palm fruit bunches. The dataset contains 466 images across 5 classes: Damaged, Empty, Overripe, Ripe, Unripe.
Images per class:

• Damaged: 15
• Empty: 12
• Overripe: 74
• Ripe: 201
• Unripe: 164

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

Citation

@article{omar2024outdoor,
  title={Outdoor oil palm fruit ripeness dataset},
  author={Omar, Zaid and Majeed, Anwar PP Abdul and Rosbi, Munirah and Ghazalli, Shuwaibatul Aslamiah and Selamat, Hazlina},
  journal={Data in brief},
  volume={55},
  pages={110667},
  year={2024},
  publisher={Elsevier}
}

MunirahRosbi. (2024). MunirahRosbi/Outdoor-Tenera-Oil-Palm-Fruit-Image: FFB Dataset (Version v1) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.11114885

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