SAM 3 vs Florence-2+ 1 other
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Model Overviews
Released on November 19th, 2025, Segment Anything 3 (SAM 3) is a zero-shot image segmentation model that “detects, segments, and tracks objects in images and videos based on concept prompts.” This model was developed by Meta as the third model in the Segment Anything series.
Unlike its previous SAM models (Segment Anything and Segment Anything 2), you can provide SAM 3 with the prompt “shipping container” and it will generate precise segmentation masks for all shipping containers in an image. SAM 3 generates segmentation masks that correspond to the location of the objects found with a text prompt.
SAM 3 vs Florence-2 Comparison Table + 1 other
| Property | SAM 3 | Florence-2 | YOLO World |
|---|---|---|---|
| Organization | Meta | Microsoft | Tencent AI Lab |
| Category | closed | open | open |
| Modality | multimodal | multimodal | multimodal |
| Release Date | Nov 2025 | Jun 2025 | Feb 2024 |
| Context Window | — | — | 13.0M |
| Parameters | 230M | ||
| License | Proprietary | MIT | GPL v3 |
| Vision Tasks | |||
| Object Detection | Demo | Demo | Demo |
| Instance Segmentation | |||
| Open Vocabulary Object Detection | |||
| Phrase Grounding | |||
| Captioning | Demo | ||
| OCR | Demo | ||
| Promptable Concept Segmentation | Demo | ||
| Region Proposal | |||
| Video Object Tracking | |||
| Zero Shot Segmentation | |||
| Model Features | |||
| Zero-shot Detection | |||
| Foundation Vision | |||
| Multimodal Vision | |||
| Real-Time Vision | |||