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Side question: what are the current top goto open models for image captioning and building image embeddings dbs, with somewhat reasonable hardware requirements?
I would suggest YOLO. Depending on your domain, you might also finetune these models. Its relativly easy as they are not big LLMs but either image classification or bounding boxes. I would recommend bounding boxes.
Earlier quoted context omitted.
Segmentation doesn't need to count legs. I'd guess something like YOLO could segment 5 legged dogs too.
YOLO is not a segmentation model.
Released last week. Looks like all the weights are now out and published. Don’t sleep on the SAM 3D series — it’s seriously impressive. They have a human pose model which actually rigs and keeps multiple humans in a scene with objects, all from one 2D photo (!), and their straight object 3D model is by far the best I’ve played with - it got a really very good lamp with translucency and woven gems in usable shape in u…
Released last week. Looks like all the weights are now out and published. Don’t sleep on the SAM 3D series — it’s seriously impressive. They have a human pose model which actually rigs and keeps multiple humans in a scene with objects, all from one 2D photo (!), and their straight object 3D model is by far the best I’ve played with - it got a really very good lamp with translucency and woven gems in usable shape in u…
Miss the old segment anything page, used it a lot. This UI I found very complex to use
Checkout https://github.com/MiscellaneousStuff/meta-sam-demo
It's a rip of the previous sam playground. I use it for a bunch of things.
Sam 3 is incredible. I'm surprised it's not getting more attention.