Segment Anything Model 2 (SAM 2) - Advanced Image and Video Segmentation
Offered By: Code With Aarohi via YouTube
Course Description
Overview
Explore the advanced capabilities of Meta AI's Segment Anything 2 (SAM 2) in this comprehensive video tutorial. Learn how this open-source image and video segmentation foundation model allows for zero-shot segmentation of objects in images and video frames. Discover the improvements over the original Segment Anything Model, including its six-fold increase in accuracy for image segmentation tasks. Follow step-by-step instructions to set up and run SAM 2, including creating a conda environment, cloning the repository, and installing necessary dependencies. Gain insights into how SAM 2 functions, its applications in various vision tasks, and how to leverage the model for your own image segmentation projects. By the end of this 32-minute guide, you'll be equipped to utilize SAM 2's powerful features for generating and tracking segmentation masks across images and video frames.
Syllabus
SAM 2 | Segment Anything Model 2
Taught by
Code With Aarohi
Related Courses
Introduction to Data Science in PythonUniversity of Michigan via Coursera Julia Scientific Programming
University of Cape Town via Coursera Python for Data Science
University of California, San Diego via edX Probability and Statistics in Data Science using Python
University of California, San Diego via edX Introduction to Python: Fundamentals
Microsoft via edX