SCUT-FBP5500 Dataset

Dataset Description

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

• 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

Source