A brief history. SAM 1 - Visual prompt to create pixel-perfect masks in an image. No video. No class names. No open vocabulary. SAM 2 - Visual prompting for tracking on images and video. No open vocab. SAM 3 - Open vocab concept segmentation on images and video.

Roboflow has been long on zero / few shot concept segmentation. We've opened up a research preview exploring a SAM 3 native direction for creating your own model: https://rapid.roboflow.com/

can anyone confirm if this fits in a 3090? the files look about 3.5GB, but I can't work out what the memory needs will be overall.

a quick question. is it possible in a single prompt to identify multiple type of objects or do you need to send multiple queries? like if i have a prompt "donkey, dogs" will sam3 return in one shot boxes with the class they belong to or do i need to send two queries?

This thing rocks. i can imagine soo many uses for it. I really like the 3d pose estimation especially

I wonder if we'll get an updated DeepSeek-OCR that incorporates this. Would be very cool!

Can it detect the speed of a vehicle on any video unsupervised ?

Reminder that Nano Banana is also capable of image segmentation: https://x.com/phillip_lippe/status/1991555954908025123

Obligatory xkcd: https://xkcd.com/1425/

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