Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization.
This course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception. By the end of [...]
Learn how data is represented through media; audio, visual and text. This online course from the Raspberry Pi Foundation explores how computers do interesting things with data. You’ll discover how to represent and manipulate text, images and sound and compression and other algorithms.
Welcome to the Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications course! This course provides easy access to the fundamental concepts of the Intel Distribution of OpenVINO toolkit. Throughout this course, you will be introduced to demos, showcasing the capabilities of this toolkit. [...]
This course focuses on the detection of features and boundaries in images. Feature and boundary detection is a critical preprocessing step for a variety of vision tasks including object detection, object recognition and metrology – the measurement of the physical dimensions and other properties of objects. The course presents [...]
The ultimate goal of a computer vision system is to generate a detailed symbolic description of each image shown. This course focuses on the all-important problem of perception. We first describe the problem of tracking objects in complex scenes. We look at two key challenges in this context. The [...]