Machine Learning for Computer Vision

The first module, Image Classification with Machine Learning, provides an in-depth introduction to the machine learning workflow for computer vision. You will learn the fundamentals of preparing images for classification and optimizing model hyperparameters. This module culminates in graded quizzes and concept checks to solidify your understanding.

Next, delve into Image Classification Using Bag of Features, which equips you with the skills to utilize bag of features for image classification. You will explore projects focused on ground cover classification using different models, ensuring you gain practical experience in this area.

Evaluating Classification Models delves into assessing and troubleshooting classification models. Through projects such as classifying traffic sign images, you will gain practical experience in evaluating classification models using MATLAB, enhancing your proficiency in this critical aspect of computer vision.

The final module, Object Detection with Machine Learning, guides you through the process of labeling images for machine learning and implementing object detection in MATLAB. You will apply these skills to a wood knots detection project, honing your ability to detect objects within images for diverse applications.