@skalskip92: there's no catch; SAM3 is open source and really good one of the things it does really well is object tracking, even in…
Summary
SAM3 (Segment Anything Model 3) is open source and performs exceptionally well at object tracking even in complex scenes like basketball, making it a standout computer vision model.
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Cached at: 05/19/26, 08:51 PM
there’s no catch; SAM3 is open source and really good
one of the things it does really well is object tracking, even in crazy complex scenes like basketball
probably my favorite computer vision model ever https://t.co/PfPIFbWVDp
ludwig (@ludwigABAP): what’s the catch with SAM models from Meta that no one seems to be using them to build the obvious awesome products one could build on top of them? I don’t get it
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@AYi_AInotes: Damn it! SAM3 is going to be legendary! Not only open source but also incredibly powerful! The most impressive thing is its tracking capability, even in complex scenes like a basketball game, it is rock solid!!
SAM3 model is open source with powerful tracking capabilities, maintaining stability even in complex scenes like basketball games.
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@lillyguisnet: WEEE!!! I had not had the opportunity to try SAM3.1 yet, but simply prompting for "worm" perfectly segmented my images!…
A user shares enthusiastic feedback about SAM 3.1's ability to accurately segment images using simple text prompts like 'worm', highlighting significant improvements over SAM 1.