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Meta Segment Anything Model 2

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Unified model for segmenting objects across images and videos with high precision.

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Meta Segment Anything Model 2

About Meta Segment Anything Model 2

Everything you need to know about this tool

Tool Description:

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.

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.

Tags

Image segmentation
Video segmentation
Object tracking
AI model
Machine learning
Open source
Zero-shot learning
Interactive segmentation

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

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