3 months ago
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Meta had a palpable hit last year with Segment Anything, a machine learning model that could quickly and reliably identify and outline just about anything in an image. The sequel, which CEO Mark Zuckerberg debuted on stage today at SIGGRAPH, takes the model to the video domain, showing how fast the field is moving.
Segmentation is the technical term for when a vision model looks at a picture and picks out the parts: “this is a dog, this is a tree behind the dog” — hopefully, and not “this is a tree growing out of a dog.” This has been happening for decades, but recently it’s gotten way better and faster, with Segment Anything being a major step forward.
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 individually, it’s not the most efficient workflow.
“Scientists use this stuff to study, like, coral reefs and natural habitats, things like that. But being able to do this in video and have it be zero shot and tell it what you want, it’s pretty cool,” said Zuckerberg, in a conversation with Nvidia CEO Jensen Huang.
Processing video is, of course, much more computationally demanding, and it’s testament to the advances made across the industry in efficiency that SA2 can run without melting the datacenter. Of course, it’s still a huge model that needs serious hardware to work, but fast, flexible segmentation was practically impossible even a year ago.
Image Credits: Meta
The model will, like the first, be open and free to use, and although there’s no word of a hosted version, something these AI companies sometimes offer. But there is a free demo.
Naturally such a model takes a ton of data to train, and Meta is also releasing a large, annotated database of 50,000 videos that it had created just for this purpose. In the paper describing SA2, another database of over 100,000 “internally available” videos was also used for training, and this one is not being made public — I’ve asked Meta for more information on what this is and why it is not being released. (Our guess would be that it’s sourced from public Instagram and Facebook profiles.)
Examples of labeled training data.Image Credits: Meta
Meta has been a leader in the “open” AI domain for a couple years now, though it actually (as Zuckerberg opined in the conversation) has been doing so for a a long time with tools like PyTorch. But more recently LLaMa, Segment Anything, and a few other models its put out freely have, although their “openness” is a matter of debate, become a relatively accessible bar for AI performance in those areas.
Zuckerberg mentioned that the openness is not entirely out of the goodness of their hearts over at Meta, but that doesn’t mean their intentions are impure:
“This isn’t just like a piece of software that you can build — you need an ecosystem around it. It almost wouldn’t even work that well if we didn’t open source it, right? We’re not doing this because we’re altruistic people, even though I think that this is going to be helpful for the ecosystem — we’re doing it because we think that this is going to make the thing that we’re building the best.”
It will certainly be well used, anyway. Check out the GitHub here.
