SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception

• Published in: 2015 IEEE International Conference on Systems, Man, and Cybernetics pp. 1821 - 1826
• Main Authors: Duorui Xie, Lingyu Liang, Lianwen Jin, Jie Xu, Mengru Li
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2015
• Subjects: Benchmark testing; Correlation; Face; Face dataset; facial attractiveness prediction; facial beautification; facial beauty assessment; Feature extraction; Machine learning

In this paper, a novel face dataset with attractiveness ratings, namely the SCUT-FBP dataset, is developed for automatic facial beauty perception. This dataset provides a benchmark to evaluate the performance of different methods for facial attractiveness prediction, including the state-of-the-art d...