You have to share your contact information, including DoB, and then be approved access, to obtain the models, and given that it's Meta I assume they're actually validating it against their All Humans database. They made their own DINOv3 license for this release (whereas DINOv2 used the Apache 2.0 license). Neat though. Will still check it out. As a first comment, I had to install the latest transformer==4.56.0dev (e.…
DINOv3
11–20 of 32 posts
Re: DINOv3
#12I have no idea what this even is.
> An extended family of versatile vision foundation models producing high-quality dense features and achieving outstanding performance on various vision tasks including outperforming the specialized state of the art across a broad range of settings, without fine-tuning
Re: DINOv3
#13You have to share your contact information, including DoB, and then be approved access, to obtain the models, and given that it's Meta I assume they're actually validating it against their All Humans database. They made their own DINOv3 license for this release (whereas DINOv2 used the Apache 2.0 license). Neat though. Will still check it out. As a first comment, I had to install the latest transformer==4.56.0dev (e.…
Yes, it's pretty disappointing for a seemingly big improvement over SOTA to be commercially licensed compared the previous version.. At least in the press release they're not portraying it as open source just because it's on GitHub/HuggingFace.
Seems like the tides are shifting at meta
Re: DINOv3
#14Earlier quoted context omitted.
Yes, it's pretty disappointing for a seemingly big improvement over SOTA to be commercially licensed compared the previous version.. At least in the press release they're not portraying it as open source just because it's on GitHub/HuggingFace.
The new Facebook AI Czar wang hinted on previous interviews that Meta might change their stand on licensing/open source. Seems like the tides are shifting at meta
Re: DINOv3
#15Earlier quoted context omitted.
> An extended family of versatile vision foundation models producing high-quality dense features and achieving outstanding performance on various vision tasks including outperforming the specialized state of the art across a broad range of settings, without fine-tuning
So, a group of AI models that can look at images and understand them, working well for many different tasks without needing extra training?
Re: DINOv3
#16Re: DINOv3
#17I have no idea what this even is.
> An extended family of versatile vision foundation models producing high-quality dense features and achieving outstanding performance on various vision tasks including outperforming the specialized state of the art across a broad range of settings, without fine-tuning
Re: DINOv3
#18Earlier quoted context omitted.
The new Facebook AI Czar wang hinted on previous interviews that Meta might change their stand on licensing/open source. Seems like the tides are shifting at meta
This has nothing to do with the newly appointed fellow nor Meta Superintelligence Labs, but rather work from FAIR that would have gone through a lengthy review process before seeing the light of day. Not fun to see the license change in any case
Re: DINOv3
#19Earlier quoted context omitted.
The new Facebook AI Czar wang hinted on previous interviews that Meta might change their stand on licensing/open source. Seems like the tides are shifting at meta
This has nothing to do with the newly appointed fellow nor Meta Superintelligence Labs, but rather work from FAIR that would have gone through a lengthy review process before seeing the light of day. Not fun to see the license change in any case
Re: DINOv3
#20DINOV3: Self-supervised learning for vision at unprecedented scale | https://news.ycombinator.com/item?id=44904608