TensorFlow face recognition

Face recognition systems use computer algorithms to pick out specific, distinctive details about a person’s face . These details, such as distance between the eyes or shape of the chin, are then converted into a mathematical representation and compared to data on other faces collected in a face recognition database.

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Facial recognition is the process of identifying or verifying the identity of a person using their face . It captures, analyzes, and compares patterns based on the person’s facial details. The face detection process is an essential step in detecting and locating human faces in images and videos.

We detect whether any photo has a face in it.