Segment Anything Model 2 (SAM 2) - Advanced Image and Video Segmentation

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.