So Meta just released SAM 3 and honestly, it’s pretty impressive.
The gist? You type “red baseball cap” and the model finds all matching objects in your image or video. No more clicking on each item one by one like with SAM 2.
It works with text, clicks, bounding boxes — or a mix of all three. And it tracks objects across video frames without losing them.
Performance-wise, Meta claims double the accuracy compared to other systems on open-vocabulary segmentation tasks. The model was trained on 4M+ unique concepts, so it handles even niche stuff pretty well.
It’s open source, available on GitHub with weights and notebooks to get started.
Worth bookmarking if you’re into computer vision.
🔗 <a href="https://ai.meta.com/sam3/" target="_blank" rel="noopener nofollow">ai.meta.com/sam3</a>

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Meta released SAM 3, an open-source computer vision model that enables text-based object segmentation in images and videos. The model supports multiple input methods including text prompts, clicks, and bounding boxes, and can track objects across video frames. Trained on over 4 million unique concepts, it reportedly delivers double the accuracy of competing systems on open-vocabulary segmentation tasks. The model is available on GitHub with weights and starter notebooks.

SAM 3 just dropped, and it's a big deal

This is what i was looking for ,
Wow Amazing .
Thank You for sharing