Computer Vision (CV) is a set of techniques that are used to machines “see” and comprehend what is contained in photos and videos. It has varied applications, such as in medical imaging, motion capture, surveillance, automating retail checkouts, and optical character recognition.

This course starts with the basics of Computer Vision, such as digitizing images, sampling them, and compressing them. It covers various methods to work with images, including classification, identification, detection, etc. We will also learn about Convolutional Neural Networks (CNNs ) and why these networks are needed. This course will also make you execute a case study after learning Computer Vision basics and another one after learning CNNs. Enroll today in computer vision course and get a free course certificate upon the course completion from Great Learning Academy