SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction

19 Jan 2018Lingyu LiangLuojun LinLianwen JinDuorui XieMengru Li

Facial beauty prediction (FBP) is a significant visual recognition problem to make assessment of facial attractiveness that is consistent to human perception. To tackle this problem, various data-driven models, especially state-of-the-art deep learning techniques, were introduced, and benchmark dataset become one of the essential elements to achieve FBP... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Facial Beauty Prediction SCUT-FBP Combined Features + Gaussian Reg MAE 0.3931 # 2