Computer Vision Masterclass

Learn how to detect faces from images and videos using Python, OpenCV and Dlib!

What you’ll learn

Understand the basic intuition about Cascade and HOG classifiers to detect faces
Implement face detection using OpenCV and Dlib library
Learn how to detect other objects using OpenCV, such as cars, clocks, eyes, and full body of people
Compare the results of three face detectors: Haarcascade, HOG (Histogram of Oriented Gradients) and CNN (Convolutional Neural Networks)
Detect faces using images and the webcam

Beginners who are starting to learn Computer Vision
Undergraduate students who are studying subjects related to Artificial Intelligence
People who want to solve their own problems using Computer Vision
Students who want to work in companies developing Computer Vision projects
People who want to know all areas inside Computer Vision, as well as know the problems that these techniques are able to solve
Anyone interested in Artificial Intelligence or Computer Vision
Data scientists who want to grow their portfolio
Professionals who want to understand how to apply Computer Vision to real projects