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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… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/banana_variety_classification.

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Dataset Card

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

bibtex

@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