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---
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.*