Data Science Education for Physics Students: Automated Object Detection for lab courses

This module introduces computer vision and deep learning algorithms with applications to physics problems. It covers the basics of extracting trajectories and dynamics from videos of physical phenomena, as well as how computer vision algorithms work for detection and tracking of objects. Students will gain an understanding of how information is extracted from pixels from first principles and then learn how to apply commonly used computer vision libraries. By the end of this module, participants will have an understanding of the use of computer vision and deep learning algorithms and can apply them to analyze videos from lab experiments.