visioninmyblood

6 ms·

61.
by visioninmyblood 11mo ago
Agreed that Unet has been the most used model for medical imaging for the last 10 years since the initial Unet paper. I think a combination of Llm+VLMs could be a way forward for medical imaging. I tried it out here and it works great. htt
62.
by visioninmyblood 11mo ago
you can download it at https://github.com/facebookresearch/sam3 . for 3d https://github.com/facebookresearch/sam-3d-objects I actually found the easiest way was to run it for free to see if it work
63.
by visioninmyblood 11mo ago
Wow this is actually pretty cool, I was able to segment out the people and dog in the same chat. https://chat.vlm.run/chat/cba92d77-36cf-4f7e-b5ea-b703e612ea...
64.
by visioninmyblood 11mo ago
I just check and it seems to commercial permissiable.Companies like vlm.run and roboflow are using for commercial use as show by thier comments below. So i guess it can be used for commercial purposes.
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by visioninmyblood 11mo ago
It's interesting how some research in this space never took off as this needs government and regulation support over corporate profits. https://www.cs.cmu.edu/smartheadlight/
66.
by visioninmyblood 11mo ago
really great results although the results are so high i was trying a simple example of object detection and the performance was kind of poor in agentic frameworks. Need to see how this performs on other other tasks.
67.
by visioninmyblood 11mo ago
Really exciting results on paper. But truly interesting to see what data this has been trained on. There is a thin line between accuracy improvements and the data used from users. Hope the data used to train was obtained with consent from t