Facial Recognition: Execution and how Data Annotation is useful for it?

Description

Facial recognition is a way of recognizing a human face through technology. A facial recognition system uses biometrics to map facial features from a photograph or video. It compares the information with a database of known faces to find a match.
Most people can recognize about 5,000 faces, and it takes a human 0.2 seconds to recognize a specific one. We also interpret facial expressions and detect emotions automatically. In other words, we’re naturally good at facial recognition and analysis. But, in recent years, Computer Vision has been catching up and in some cases outperforming humans in facial recognition.
Use of artificial intelligence and machine learning technologies has made the facial recognition process carried out in real-time. There are two processes that matter the most in the development of an AI. These are data collection and data labeling. Both high quality data and secure data annotation solutions have a dramatic impact on technology development.
At TagX, we do all this with precision through our facial landmark recognition techniques. All intricate details and aspects of facial recognition are annotated for accuracy by our own in-house veterans, who have been into the AI spectrum for years.