YoVDO

Image Segmentation with Python and Unsupervised Learning

Offered By: Coursera Project Network via Coursera

Tags

Unsupervised Learning Courses Python Courses Computer Vision Courses Image Processing Courses Image Segmentation Courses

Course Description

Overview

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.

Syllabus

  • Project Overview
    • Here you will describe what the project is about...give an overview of what the learner will achieve by completing this project.

Taught by

Daniel Romaniuk

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Computational Photography
Georgia Institute of Technology via Coursera
Einführung in Computer Vision
Technische Universität München (Technical University of Munich) via Coursera
Introduction to Computer Vision
Georgia Institute of Technology via Udacity