Meta has announced an AI model ' Segment Anything Model (SAM) ' that can identify individual objects in images and videos, even those that have not been learned. 'Image segmentation', which ...

Within this context, Meta's Segment Anything Model (SAM) achieved a significant breakthrough in 2023, demonstrating exceptional performance in the field of image segmentation, ...

Making that easier is the goal of the Segment Anything Model (SAM), just released under the Apache 2.0 license. The online demo has a bank of examples, but also works with uploaded images.

The company said it’s releasing both its new Segment Anything Model, known as “SAM,” and a Segment Anything 1-Billion mask dataset, called SA-1B, to the research community.

The Segment Anything AI model can identify an object within pictures even if they were not part of the training set. Users can select items by clicking them or using free-form text prompts.

Segment Anything 2 (SA2) is a natural follow-up in that it applies natively to video and not just still images; though you could, of course, run the first model on every frame of a video ...

Recently, Meta AI Research approaches a general, promptable segment anything model (SAM) pre-trained on an unprecedentedly large segmentation dataset (SA-1B). Without a doubt, the emergence of SAM ...

I tried out a demo of Meta's segmentation AI model 'Segment Anything Model 2 (SAM 2)' - YouTube SAM 2 is open source under the Apache 2.0 license and is available on GitHub.