Computer Vision: Face Recognition Quick Starter in Python is a training course on building a deep Python-based learning model for face recognition, emotion, gender, and age. This is the second course in the machine vision training series (Computer Vision training series). Face detection and detection are the most important and widely used parts in machine vision. Using the techniques taught in this course, computers will be able to extract one or more faces from an image or video and then adapt it to existing data to identify the people in the image. Face detection and face recognition are widely used by governments and organizations for security and safety issues, and of course we use these capabilities in our daily use in applications such as unlocking cell phone screens with faces.
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Subtitle: None (based on the course specifications in the image, this course has no subtitles.)