FaceNet is a deep metric learning framework for face recognition and verification that maps face images into a compact embedding space where distances directly correspond to face similarity.
This model uses FaceNet with a MobileNetV1 backbone, providing a lightweight, efficient architecture suitable for real-time face recognition on mobile and embedded devices. It is well suited for applications such as authentication, access control, and edge-based identity verification.
