21:I[4606,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 23:I[1895,["9139","static/chunks/9139-29aac3297803e837.js","5162","static/chunks/5162-971519dd5e179b15.js","1163","static/chunks/app/%5Blocale%5D/(with-footer)/ai/%5BwebsiteName%5D/page-93c09f9a3f0813c2.js"],""] 22:T684,

What is Meta Segment Anything Model 2?

Meta Segment Anything Model 2 (SAM 2) is the first unified model for segmenting objects across images and videos. It allows users to select objects in any image or video frame using a click, box, or mask as input. SAM 2 is designed for fast, precise object selection and offers state-of-the-art performance for object segmentation in both images and videos. The models are open source under an Apache 2.0 license.

How to use Meta Segment Anything Model 2?

Users can select objects in images or video frames by providing a click, box, or mask as input. The model then segments the object based on the provided prompt. Additional prompts can be used to refine the model predictions, especially in video frames.

Meta Segment Anything Model 2's Core Features

Unified image and video segmentation

Interactive object selection using clicks, boxes, or masks

Real-time interactivity and results

Robust zero-shot performance on unfamiliar videos and images

State-of-the-art performance for object segmentation

Meta Segment Anything Model 2's Use Cases

#1 Selecting and tracking objects across video frames

#2 Refining object segmentation with additional prompts

#3 Enabling precise editing capabilities in video generation models

#4 Creating interactive applications with real-time video processing

Meta Segment Anything Model 2

📋Introduction

User Rating