Analyzing and Transforming Faces in Python

Analyzing and Transforming Faces in Python


50 Lessons


Certificate of Completion

AI Explanations
AI Explanations
Analyzing and Transforming Faces in Python
39 Playgrounds
6 Quizzes
90 Illustrations

Takeaway Skills

A strong understanding of the basics of facial recognition

A working knowledge of three unique machine learning libraries: MediaPipe, Dlib, and DeepFace

A deep familiarity with common facial analysis techniques using Python

The ability to use deep neural networks to identify age, gender, race, and emotion from facial expressions

The ability to apply various artistic effects to faces

A complete perspective on facial recognition models and the tools to build a multifaceted model to common facial analysis tasks

Hands-on experience with Python, MediaPipe, Dlib, and DeepFace for facial analysis

Course Overview

Face analysis technology is a rapidly growing biometric software discipline with wide-ranging applications in surveillance, forensics, game design, and social media. As with other machine learning domains, Python has several libraries for computer vision, image analysis, and pattern recognition that make it ideal for facial analysis. This course is a hands-on introduction to facial recognition with three unique libraries—MediaPipe, Dlib, and DeepFace. You’ll start with face detection, landmarking, and face...Show More


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