Description Learn how computers interpret visual information by studying image representation, color models, image enhancement, filtering, histogram equalization, edge detection, feature extraction, and geometric transformations. Gain a strong understanding of preprocessing techniques used before deep learning model development. Lessons Introduction to Computer Vision Digital Image Representation RGB & HSV Color Spaces Image Filtering Techniques Edge Detection Algorithms Image Augmentation