Excercises description and useful resources will be added throughout the course.
Getting familiar with the dataset, and loading the images and masks.
Numerical exploration and basic manipulation of the images, and an introduction to data annotation.
Getting familiar with the basics of Git and GitHub.
Exploring approaches to image segmentation and feature extraction.
Analyzing and improving previous feature extraction implementations, practicing modular scripting, generating feature CSVs for model training, and performing exploratory feature analysis.