i tried “apples” and got lots of nuts-and-bolts models?
edit: looks like the data is trained from machinery parts. impressive regardless, but i’d add that to the lander
There's a pretty big bias for mechanical engineering components in the dataset- very few organic forms. It's one of the limitations we call out in the dataset card.
There are a few though! Try "dog" or "cookie cutter" for example.
I think an apple would not be stored in a CAD format like IGES or STEP but rather in OBJ, USD, FBX etc.
I.e. it would not be in dataset because the use cases for 3D apples are outside of typical use cases where people resort to CAD software.
I tried "DHO804" (a popular oscilloscope that has printable accessories), got all screws.
Ok too niche, except that's exactly the use-case as I see it so if that's too niche then what good is it? Whatever call it pre-alpha poc and move on...
Tried "grommet", got all finger rings. Closer but not close enough to be useful. It wasn't a mix of ringular-shaped objects including grommets, and grommets aren't only round either. None of the rings were even slightly grommet shaped, purely tori and belts, some with add-ons and cut-outs.
Perhaps it needs a couple orders of magnitude more input samples before it becomes useful. And by "useful" I do mean even just as a proof of concept, because I don't see any concept proven here.