Image Segmentation with Python and Unsupervised Learning
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Image Segmentation with Python and Unsupervised Learning

Highlights

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.

About the Course Provider

Coursera provides access to more than 3000+ courses across a wide variety of subjects in parntership with different universities and organizations.

Course by

  • self
    Self paced
  • dueration
    Duration 3 hours
  • domain
    Domain Data Science & AI
  • subs
    Monthly Subscription Option not available
  • fee
    Buy Now Free
  • language
    Language English