Meta Segment Anything Model 2
Object segmentation in videos and images
Score
60
User Rating
3.0
Free/Trial Support
Supported
Starting Price
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Last Updated
Sep 02, 2026
Overview
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.
What is Meta Segment Anything Model 2 used for?
Top 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
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.
Alternative Tools
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Pros & Cons
No Data
Use Cases
- Selecting and tracking objects across video frames
- Refining object segmentation with additional prompts
- Enabling precise editing capabilities in video generation models
- Creating interactive applications with real-time video processing
Meta Segment Anything Model 2 Pricing
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No detailed pricing information available
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