Age and gender recognition, along with other demographical profiling, streamline personalized experiences and market targeting. Essential for tailored content, advertising, and societal research.
Key Features
— YOLOV8-Face facial detection model with landmarks — NumPy/Numba output postprocessing (box and landmarks) — Facial tracking (with Nvidia Tracker) — Landmark-based facial alignment with OpenCV-CUDA — Age/Gender prediction with a custom model based on MobileNet V2