Table 4.
Authors | Reference | Year | Country | AI Algorithm Model | The Purpose of AI Algorithm | Image (Datasets) Recourse | No. of Images in Datasets | Types of Images | Accuracy/Precision (%) |
---|---|---|---|---|---|---|---|---|---|
Eisentha et al. | [64] | 2006 | Israel | Deep learning algorithm | Predicting facial attractiveness ratings | Volunteer images | 194 | Macroscopy | 0.65 correlation with human |
Kagian et al. | [65] | 2008 | Israel | Linear regression algorithm | Extraction of facial features from raw images and rating facial attractiveness | Volunteer images | 91 | Macroscopy | 0.82 correlation with human |
Zhang et al. | [108] | 2017 | China | Hypergraph-based semi-supervised learning method (HSSL) | Analysis of human face attractiveness | Shanghai Database and celebrity portrait from Internet | 2354 | Macroscopy | 81.47–84.21 |