This workshop provides a general introduction to computer vision. It covers typical tasks where computer vision algorithms are employed, elaborationg on the basic principles and how to implement solutions (libraries, data prep, best practices,…). Such tasks include supervised and non-supervised learning (image recognition, object detection), transfer learning and diffusion models. At the end of the course we present a concrete use case from a company that uses computer vision to map & track marine plastic.