A Comparison of Facial Feature Extraction Methods based on Professional Domain Clustering

Face images and corresponding identities and professions were automatically extracted from WikiData using SPARQL and Python's Requests library. Then four state-of-the-art feature extraction methods (FaceNet, ArcFace, OpenFace, Dlib) and common clustering algorithms were compared by their accuracy to cluster faces based on a person’s professional domain.