Project-AgML/banana_variety_classification

Banana Variety Classification

A dataset for variety classification of bananas. The dataset contains raw and augmented versions.
The raw dataset contains 1,166 images.
Images per class:

• Anaji: 209
• Bichi: 182
• Champa: 136
• Deshi: 237
• Shagor: 239
• Shobri: 163

The augmented dataset contains 6,000 images.
Images per class:

• Anaji: 1,000
• Bichi: 1,000
• Champa: 1,000
• Deshi: 1,000
• Shagor: 1,000
• Shobri: 1,000

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

Citation

@article{sheikh2024bananaset,
  title={BananaSet: a dataset of banana varieties in Bangladesh},
  author={Sheikh, Md Ripon and Hossain, Md Anwar and Hossain, Moazzem and Islam, Md Masudul and Himel, Galib Muhammad Shahriar},
  journal={Data in Brief},
  volume={54},
  pages={110513},
  year={2024},
  publisher={Elsevier}
}

Islam, Md Masudul; Sheikh, Ripon; Hossain, Md. Anwar; Hossain, Moazzem ; Himel, Galib Muhammad Shahriar (2024), “BananaSet: A Dataset of Banana Varieties in Bangladesh”, Mendeley Data, V4, doi: 10.17632/35gb4v72dr.4