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

Citation

@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.