---
dataset_info:
- config_name: augmented
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': murcott
          '1': ponkan
          '2': tangerine
          '3': tankan
  - name: split
    dtype: string
  splits:
  - name: train
    num_bytes: 7252176971
    num_examples: 7584
  download_size: 6759680132
  dataset_size: 7252176971
- config_name: raw
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': murcott
          '1': ponkan
          '2': tangerine
          '3': tankan
  - name: split
    dtype: string
  splits:
  - name: train
    num_bytes: 3496855700
    num_examples: 1379
  download_size: 3421334751
  dataset_size: 3496855700
configs:
- config_name: augmented
  data_files:
  - split: train
    path: augmented/train-*
- config_name: raw
  data_files:
  - split: train
    path: raw/train-*
  default: true
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# 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.*