Meta Segment Anything Model 2

A comprehensive AI model that precisely segments objects across images and videos, enhancing visual analysis and editing workflows.

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About Meta Segment Anything Model 2

Meta Segment Anything Model 2 (SAM 2) introduces a unified approach to object segmentation in both images and videos. It enables users to select objects via clicks, bounding boxes, or masks, providing fast and highly accurate results. Designed for versatility, SAM 2 excels in real-time applications and is openly available under an Apache 2.0 license, making it ideal for developers, researchers, and content creators seeking advanced segmentation tools.

How to Use

Select objects in images or video frames by providing a click, bounding box, or mask. The model then performs segmentation based on your input, with options to refine results through additional prompts, especially in dynamic video scenes.

Features

Exceptional zero-shot segmentation accuracy on new videos and images

High-performance object segmentation across diverse media

Unified approach for image and video segmentation tasks

Fast, real-time interactive segmentation capabilities

User-friendly selection through clicks, boxes, or masks

Use Cases

Tracking and analyzing objects in video sequences

Enhancing editing precision in video production

Refining segmentation with supplementary prompts

Developing interactive video-based applications

Best For

Computer vision developersAI research professionalsVideo editors and producersContent creators and digital artistsAI application engineers

Pros

Excellent zero-shot segmentation performance

Open-source availability under Apache 2.0 license

Supports real-time interaction and results

Achieves state-of-the-art segmentation accuracy

Unified solution for image and video analysis

Cons

May need additional prompts for complex scenes

Effectiveness can depend on video quality and object clarity

Frequently Asked Questions

Find answers to common questions about Meta Segment Anything Model 2

What is Meta Segment Anything Model 2 (SAM 2)?

SAM 2 is an integrated AI model designed for precise object segmentation in images and videos, allowing selection via clicks, boxes, or masks.

Is SAM 2 available as open source?

Yes, SAM 2 is open source and licensed under the Apache 2.0 license for broad accessibility.

What input methods does SAM 2 support?

SAM 2 accepts clicks, bounding boxes, or masks to identify and segment objects within images or video frames.

What is the SA-V dataset used for?

The SA-V dataset is a large, diverse collection of over 600,000 masks across approximately 51,000 videos, used for training SAM 2 in real-world scenarios.

Can SAM 2 handle real-time video segmentation?

Yes, SAM 2 is optimized for real-time interactivity, enabling quick and accurate segmentation in live video feeds.