Image Segmentation with Python and Unsupervised Learning
half-circle
vector

Image Segmentation with Python and Unsupervised Learning

أبرز محتويات الدورة

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.

حول مقدم الدورة

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

الطبع بواسطة

  • self
    التعلم الذاتي
  • dueration
    المدة 3 ساعات
  • domain
    الاختصاص علم البيانات والذكاء الاصطناعي
  • subs
    Monthly Subscription Option not available
  • fee
    Buy Now مجاني
  • language
    اللغة الإنكليزية