Which is not bad imo. Infact SAM actively proposed a fix for this. Bounding box algorithms are relatively easier to train and SAM can take in a rough bounding b

Which is not bad imo. Infact SAM actively proposed a fix for this. Bounding box algorithms are relatively easier to train and SAM can take in a rough bounding box of the laptop as input prompt and create a detailed segmentation of laptop. Their webpage has an example with a bunch of cats. SAM is good at (i) deciding detailed mask around segments, (ii) taking a wide range of prompts as input to decide what exactly the user wants to be segmented, and it processes these prompts at very low compute requirements. I think SAM is very well designed architecture and I'm not sure how better it can be. I mean coming back to your question, there should be some signal that user wants a segmentation of laptop. SAM takes exactly that as prompt input.