Meta Segment Anything Model 2
A unified model for high-precision segmentation of objects in images and videos.
Introduction
Unified model for segmenting objects across images and videos with high precision.
What is the Meta Segment Anything Model 2?
The Meta Segment Anything Model 2 (SAM 2) is the first unified model designed for segmenting objects within images and videos. It allows users to select objects in any image or video frame by clicking, selecting them with a box, or using masking techniques as input methods. SAM 2 is intended to enable fast and accurate object selection, providing state-of-the-art performance in the field of object segmentation for both images and videos. These models are open-source and are licensed under the Apache 2.0 license.
How to use the Meta Segment Anything Model 2?
Users can select objects within an image or video frame by providing clicks, box selections, or maskings as input. The model will then segment the objects based on these indications. Additional hints can be used to refine the model’s predictions, especially in the case of video frames.
The core capabilities of the Meta Segment Anything Model 2
Unified image and video segmentation
Use clicking, selection within boxes, or masking to select objects interactively.
Real-time interaction and results
Robust zero-shot performance on unfamiliar videos and images
State-of-the-art object segmentation capabilities
Use clicking, selection within boxes, or masking to select objects interactively.
Real-time interaction and results
Robust zero-shot performance on unfamiliar videos and images
State-of-the-art object segmentation capabilities
Visits：12
Updated：2026-11-07
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