Introduction to Computer Vision and Image Processing

Computer Vision is an exciting area of Machine Learning and AI. There are many applications for it, including in self-driving cars and robotics. Augmented reality is another example. This course is easy to understand and will cover the various applications of computer vision across many industries.

This course will teach you how to use Python, Pillow, OpenCV, and OpenCV to perform basic image processing, object classification, and object detection. This course is hands-on and includes several exercises and labs. Labs will include Jupyter Labs combined with Computer Vision Learning Studio (CV Studio), which is a free tool for learning computer vision. CV Studio allows users to upload, train and test their own detection and image classifier models. You will be able to create and deploy your own web-based computer vision app at the end of this course. This course doesn't require any previous Machine Learning or Computer Vision experience. It is however necessary to have some knowledge of Python programming language and high school mathematics.