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Unveiling Meta's Impressive CV Model - SAM 2: Segment Anything in Images and Videos

Offered By: Sam Witteveen via YouTube

Tags

Computer Vision Courses Machine Learning Courses Deep Learning Courses Neural Networks Courses Object Detection Courses Image Segmentation Courses Semantic Segmentation Courses

Course Description

Overview

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Explore Meta's impressive Computer Vision model, SAM 2, in this informative video. Delve into the evolution from SAM 1 to SAM 2, examining the unified architecture that enables segmentation of both images and videos. Witness the model's capabilities through a live demonstration, showcasing its ability to segment objects with remarkable precision. Gain insights into the technical aspects of SAM 2, including its architecture and performance improvements. Learn where to access the official blog post, research paper, and interactive demo for hands-on experimentation. Discover resources for implementing SAM 2, including GitHub repositories and code samples. For those interested in building LLM Agents, find information on how to get involved in this cutting-edge field.

Syllabus

Intro
Sam 1: Segment Anything Model
Sam 2
Meta Blog
Sam 2 Unified Architecture
Meta Sam 2 Demo
Meta Segment Anything Model Github
Sam 2 Code Samples


Taught by

Sam Witteveen

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