Image Segmentation with Python and Unsupervised Learning

About this guided project

In this one hour long project-based course, you will tackle a real-world problem in computer vision called segmentation. Segmentation means taking an image and partitioning it into different regions that capture the different elements of interest in the scene. We will tackle this problem using an unsupervised learning technique called K-means. By the end of this project, you will have segmented an image with unsupervised learning, using code you will write in Python.

What skills will you gain?

Unsupervised Learning

Machine Learning Methods

Machine Learning

Computer Vision

Artificial Intelligence

Artificial Intelligence and Machine Learning (AI/ML)