Task
General
Training a robust face embedding model requires a diverse dataset with multiple images per identity—capturing variations in angles, lighting, expressions, and age. Using real-world data for this purpose poses several challenges:
Training a robust face embedding model requires a diverse dataset with multiple images per identity—capturing variations in angles, lighting, expressions, and age. Using real-world data for this purpose poses several challenges: