Image Segmentation with Python and Unsupervised Learning

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In this Guided Project, you will:
1 hour
Intermediate
No download needed
Split-screen video
English
Desktop only

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.

Skills you will develop

  • Machine Learning

  • Unsupervised Learning

  • Matplotlib

  • Numpy

  • Computer Vision

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

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