Meta SAM 2

SAM 2 is the first unified model for segmenting objects across images and videos. You can use a click, box, or mask as the input to select an object on any image or frame of video.

• Select objects and make adjustments across video frames: Using SAM 2, you can select one or multiple objects in a video frame. Use additional prompts to refine the model predictions.
• Robust segmentation, even in unfamiliar videos: SAM 2 is capable of strong zero-shot performance for objects, images and videos not previously seen during model training, enabling use in a wide range of real-world applications.
• Real-time interactivity and results: SAM 2 is designed for efficient video processing with streaming inference to enable real-time, interactive applications.

State-of-the-art performance for object segmentation

SAM 2 outperforms the best models in the field for object segmentation in videos and images.

Highlights:

• SAM 2 improves on SAM for segmentation in images
• SAM 2 outperforms existing video object segmentation models, especially for tracking parts
• SAM 2 requires less interaction time than existing interactive video segmentation methods

Track an object across any video interactively with as little as a single click on one frame, and create fun effects.

The next generation of Meta Segment Anything

SAM 2 brings state-of-the-art video and image segmentation capabilities into a single model, while preserving a simple design and fast inference speed.