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

SAM 2 is a unified model for segmenting objects across images and videos, allowing users to select objects using clicks, boxes, or masks as input.

Is SAM 2 open source?

Yes, the models are open source and available under an Apache 2.0 license.

What kind of inputs does SAM 2 accept?

SAM 2 accepts clicks, boxes, or masks as input to select an object in an image or video frame.

What is the SA-V dataset?

The SA-V dataset is a large and diverse video segmentation dataset used to train SAM 2. It includes ~600K+ masklets collected on ~51K videos from geographically diverse, real-world scenarios.

Meta Segment Anything Model 2 - Unified model for segmenting objects across images and videos with high precision.

Name: Meta Segment Anything Model 2
Brand: Meta
Availability: InStock

Meta Segment Anything Model 2 Introduction

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.

Why Choose Meta Segment Anything Model 2?

You should choose this if you want the latest in image segmentation tech that’s super accurate and versatile. It’s perfect for developers and creators who need precise visual data processing.