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Project-AgML/citrus_fruit_variety_classification

Citrus Fruit Variety Classification A dataset for variety classification of citrus fruits. The dataset contains raw and augmented versions.The raw dataset contains 1,379 images.Images per class: murcott: 280 ponkan: 328 tangerine: 400 tankan: 371 The augmented dataset contains 7,584 images.Images per class: murcott: 1,540 ponkan: 1,803 tangerine: 2,200 tankan: 2,041 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. The original… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/citrus_fruit_variety_classification.

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Dataset Card

Citrus Fruit Variety Classification

A dataset for variety classification of citrus fruits. The dataset contains raw and augmented versions. The raw dataset contains 1,379 images. Images per class:

—murcott: 280
—ponkan: 328
—tangerine: 400
—tankan: 371

The augmented dataset contains 7,584 images. Images per class:

—murcott: 1,540
—ponkan: 1,803
—tangerine: 2,200
—tankan: 2,041

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

The original train/test/val split has been preserved in the split column.

Citation

bibtex

@article{huang2023citrus,
  title={Citrus dataset for image classification},
  author={Huang, Mei-Ling and Chen, You-An},
  journal={Data in Brief},
  volume={51},
  pages={109628},
  year={2023},
  publisher={Elsevier}
}

Huang, Mei-Ling; Chen, You-An (2023), “A Dataset of Citrus Fruit Images”, Mendeley Data, V6, doi: 10.17632/bxfgvsn9kw.6

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