Meta SAM 3 - Segment Anything with Text, Clicks & Concepts

Meta SAM 3 AI (Segment Anything Model 3) is Meta AI Research’s newest “segment anything” model that can detect, precisely segment (mask), and track objects in images and videos using simple prompts.
What makes SAM 3 special is how you can tell it what to segment:

Meta SAM 3 Image Segmentation enables precise, pixel level object masking in images using simple text prompts, visual examples, or click‑based guidance. Powered by Meta AI's latest Segment Anything Model, it lets you quickly identify, segment, and refine objects of any type making image editing, background removal, and visual analysis fast, accurate, and intuitive.

Meta SAM 3 Video Segmentation lets you detect, segment, and track objects across entire videos with just a few simple prompts. Whether you use text, clicks, or example boxes, SAM 3 delivers precise object masks that automatically follow movement across frames perfect for effects, editing, object tracking, or research. Built for creators, developers, and AI powered media workflows.

While Meta SAM 3 AI is powerful and flexible, it does have some limitations. It may struggle with complex occlusions, low-resolution images, or highly overlapping objects. Its text prompt accuracy can vary depending on the vocabulary used, and non-English prompts may produce less consistent results. Additionally, while SAM 3 supports video tracking, long or fast-moving sequences may require manual refinement. Finally, using SAM 3 at scale requires GPU resources or access to third-party APIs, which may add compute costs.

Meta SAM 3D is an advanced extension of the Segment Anything Model 3 (SAM 3), designed to bring segmentation into the 3D space. It enables precise reconstruction and analysis of 3D people, objects, and environments, unlocking new levels of spatial understanding for augmented reality, virtual production, robotics, and scientific research. With support for 3D aware masking and object tracking, SAM 3D expands SAM's capabilities beyond 2D images and videos making it a powerful tool for developers, researchers, and creators working with depth, motion, and spatial applications.

SAM 3 Text Prompt Segmentation is a groundbreaking feature from Meta AI’s Segment Anything Model 3 that allows users to segment and identify objects in images or videos using simple natural language prompts—like “yellow school bus” or “person on bike.” Instead of relying on clicks, boxes, or manual labels, SAM 3 understands these short phrases and generates pixel-accurate masks for all matching instances, complete with unique IDs for tracking across video frames. This open-vocabulary, promptable segmentation unlocks faster workflows for video editing, dataset labeling, AR/VR, robotics, and more—making advanced segmentation accessible with just a few words.

SAM 3 Concept Prompts are a powerful feature of Meta AI’s Segment Anything Model 3 that allow users to find and segment all instances of an object in images or video using natural language or visual examples. Whether prompted with a short text phrase like “yellow school bus,” an image exemplar, or both, SAM 3 can return pixel perfect segmentation masks and unique object IDs. These concept prompts eliminate the need for manual clicks or predefined categories enabling open vocabulary, promptable segmentation and object tracking for real world use cases across video editing, robotics, e-commerce, surveillance, and more.

Promptable Concept Segmentation (PCS) is an advanced AI capability introduced in Meta’s SAM 3 that allows users to segment and track multiple instances of any object in images or videos using simple text prompts, image exemplars, or both. Unlike traditional models restricted to fixed categories, PCS supports open vocabulary segmentation meaning you can prompt anything from “red cars” to “wooden chairs” or “people wearing hats” and get pixel perfect masks for all matching objects. It enables faster annotation, automated video editing, robotics, and more driven entirely by your intent, not manual clicks.

SAM 3 brings a revolutionary leap in segmentation with open vocabulary support, letting you identify and mask any object not just predefined categories using simple text prompts like “blue backpack” or “person holding phone.” Whether you describe it with words, show it with an example image, or combine both, SAM 3 will find and segment all matching objects, across still images or entire videos.

This means no more manual labeling or fixed class limits. SAM 3 adapts to your intent, enabling powerful applications in video editing, robotics, AR/VR, data annotation, and more using just the language you speak.

SA-Co (Segment Anything with Concepts) is the official benchmark introduced by Meta AI to evaluate the performance of Promptable Concept Segmentation (PCS) in SAM 3. Unlike earlier segmentation benchmarks that focused on fixed class labeling or single object prompts, SA-Co is designed specifically for open vocabulary and multi instance segmentation tasks.

It measures how well a model like SAM 3 can segment all instances of a concept given a natural language prompt (like “red cars”) or an image exemplar across both images and video. SA-Co includes a diverse dataset covering millions of visual concepts with varying complexity, including rare objects, hard negatives, and fine grained distinctions.

This benchmark is a crucial step toward standardizing evaluations for concept level segmentation and tracking, pushing the community to move beyond interactive segmentation toward language driven, scalable, and automated vision systems.

Dive into the official GitHub repository for Segment Anything Model 3 (SAM 3) Meta AI’s powerful open source tool for image and video segmentation using text, image, and hybrid prompts. The repo includes full access to pretrained models, inference code, video tracking workflows, Promptable Concept Segmentation (PCS), and links to benchmarks like SA-Co.

Whether you're a developer, researcher, or AI enthusiast, SAM 3 GitHub gives you the tools to build cutting edge applications in computer vision, video editing, robotics, privacy, AR, and more right out of the box.

Discover SAM 3, the latest foundation model by Meta AI, now hosted on Hugging Face. Try powerful features like text and image prompt segmentation, multi object tracking, and open-vocabulary understanding without complex setup. Whether you're a researcher, developer, or creator, you can start segmenting anything with just a few clicks.

The SAM 3 License is Meta’s custom agreement for using Segment Anything Model 3. It allows broad research and commercial use, including running, modifying, and integrating SAM 3 into your own tools while adding clear restrictions around military, ITAR, nuclear, and weapons-related applications.