SAM 3: Segment Anything with Concepts
Blog post from Roboflow
Released by Meta on November 19, 2025, Segment Anything 3 (SAM 3) is an advanced zero-shot image segmentation model capable of detecting, segmenting, and tracking objects in both images and videos using concept prompts. Unlike its predecessors, SAM 3 supports Promptable Concept Segmentation (PCS) and open-vocabulary instance detection, allowing it to identify multiple instances of a concept with unique masks and IDs simultaneously. This model integrates several segmentation paradigms, including single-image and video processing, interactive refinement, and concept-driven detection, unified under a single interface. SAM 3 can run efficiently on various platforms, such as the Roboflow Playground, and can be fine-tuned for domain-specific tasks. The model is licensed under a custom license by Meta, facilitating public use and adaptation. SAM 3's architecture builds upon previous versions with improvements in zero-shot segmentation, small object performance, boundary accuracy, and robustness across domains, and is supported by a comprehensive dataset known as the SA-Co dataset, developed through a multi-phase data engine involving AI and human annotators.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Model Fine-tuning | 11 | 473 | 154 | 74 | -14% |
| Real-time | 3 | 5,641 | 1,255 | 287 | -21% |
| Vector Search | 3 | 1,573 | 326 | 154 | -18% |
| LLM | 2 | 5,261 | 879 | 232 | +8% |
| Serverless | 2 | 860 | 188 | 87 | +4% |
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