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- Level Intermediate
- Duration 3 hours
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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.Auto Summary
Unlock the potential of computer vision with the "Image Segmentation with Python and Unsupervised Learning" course. This engaging, project-based learning experience, brought to you by Coursera, is tailored for intermediate-level enthusiasts in the field of Data Science & AI. Over the span of just one hour, delve into the essential techniques of segmentation to solve real-world problems using Python and unsupervised learning methods. With free subscription access, this course is perfect for those looking to enhance their skill set in a concise, hands-on format under expert guidance. Join now and elevate your expertise in image segmentation!