How to Do Face Detection and Tagging in Video With Deep Learning
- Artificial Intelligence
- Computer Vision
- Project length: 2h 43m
Through this series, you are going to learn how to detect faces and develop a measure of similarity for face grouping.
In this project, you are going to learn how to use deep neural networks for face detection, tracking, and redaction. Face recognition is a broad problem of identifying or verifying people in photographs and videos. Face recognition is a process comprised of detection, alignment, feature extraction, and a recognition task. Deep learning models first approached then exceeded human performance for face recognition tasks.
What are the requirements?
- Machine Learning
- Deep Learning basics
What is the target audience?
- Data scientists
The project outline explains what you will learn in each session
We are going to have a brief introduction to the subject and the history of face recognition algorithm development.