Try the Model

Use the widget below to experiment with Segment Anything 3. You can detect COCO classes such as people, vehicles, animals, household items.

Overview

Segment Anything 3 (SAM-3) is an as-yet-unreleased segmentation model announced by Meta at the LlamaCon 2025 event in April. This would be the latest in the Segment Anything model series that generates accurate masks around the contours of objects in images.

In the SAM-3 model announcement Meta described the model as offering "object segmentation and tracking using natural language prompts," a feature that was not available in previous versions of SAM. This means that SAM-3 could allow you to provide an arbitrary text prompt like “ice” or “pothole” and generate segmentation masks for matching objects:

Meta has a SAM-3 waitlist available on their website that you can use to get notified when the model is released.

Try SAM 2

You can try out the previous model - SAM 2 - in the interactive demo below.

Segment Anything 3 License

Segment Anything 3

is licensed under a

license.

Performance

Deploy a Segment Anything 3 API

You can use Roboflow Inference to deploy a

Segment Anything 3

API on your hardware. You can deploy the model on CPU (i.e. Raspberry Pi, AI PCs) and GPU devices (i.e. NVIDIA Jetson, NVIDIA T4).

Below are instructions on how to deploy your own model API.

Label Data Automatically with Segment Anything 3

You can automatically label a dataset using Segment Anything 3 with help from Autodistill, an open source package for training computer vision models. You can label a folder of images automatically with only a few lines of code. Below, see our tutorials that demonstrate how to use Segment Anything 3 to train a computer vision model.

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