We're shipping the following:
Apache licensed optimised model checkpoints - tiny, small, base ad large!: https://huggingface.co/collections/apple/core-ml-segment-anything-2-66e4571a7234dc2560c3db26
Open source application to annote any image in a sub-second: https://github.com/huggingface/sam2-studio
Conversion guides for SAM2 fine tunes like Medical SAM and much more!
P.S. Video support on its way, what would you like to see next? 🤗
Looks good!
I have one question about the optimized aspect -- fairly obviously you've optimized it FOR inference and running under core-ml and your devices, which I assume may be all of the scope of the optimization. But are there any other highly significant noteworthy "generic" aspects of optimization that simply make it more efficient in general that are not particularly platform specific that were encompassed?
That looks fantastic! Imagine an image editor where you can just drag objects around with Stable Diffusion automatically inpainting in the missing background. No lasso selection, no manually clone stamping the background, just simple and intuitive dragging.
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