---
license: other
task_categories:
  - image-classification
  - image-regression
task_ids:
  - facial-beauty-prediction
language:
  - en
tags:
  - beauty-prediction
  - face-analysis
  - facial-beauty
pretty_name: SCUT-FBP5500
size_categories:
  - 1K<n<10K
---

# SCUT-FBP5500 Dataset

## Dataset Description

The SCUT-FBP5500 dataset is a diverse benchmark for facial beauty perception test. It includes 5500 frontal faces with diverse properties (male/female, Asian/Caucasian, ages) which are rated with beauty scores ranging from [1, 5] by 60 volunteers.

### Dataset Summary

- **Number of instances**: 5500 facial images
- **Demographic breakdown**:
  - 2000 Asian females
  - 2000 Asian males
  - 750 Caucasian females
  - 750 Caucasian males
- **Beauty scores**: Range from 1 to 5 (average of 60 raters)
- **Facial landmarks**: 86 landmarks per face

## Dataset Structure

- `image`: The facial image
- `beauty_score`: Beauty score (average rating from 60 volunteers)
- `race`: Race of the person (Asian or Caucasian)
- `gender`: Gender of the person (Male or Female)
- `image_name`: Original image filename
- `has_landmarks`: Whether facial landmarks are available for this image

## Dataset Splits

The dataset provides:
- Standard 60/40 train/test split
- 5-fold cross-validation splits (available in the original dataset)

## Citation

```
@article{liang2017SCUT,
title     = {SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction},
author    = {Liang, Lingyu and Lin, Luojun and Jin, Lianwen and Xie, Duorui and Li, Mengru},
jurnal    = {ICPR}, 
year      = {2018}
}
```

## License

The dataset was collected for research purposes. Please contact the original authors for commercial use.

## Source

This dataset was created by South China University of Technology.

For any questions about this database, please contact the authors by sending email to lianwen.jin@gmail.com and lianglysky@gmail.com.