Open-sourced dataset: https://huggingface.co/datasets/daveferbear/3d-model-images-...
Blog writeup: https://www.finalrev.com/blog/embedding-one-million-3d-model...
Open-sourced dataset: https://huggingface.co/datasets/daveferbear/3d-model-images-...
Blog writeup: https://www.finalrev.com/blog/embedding-one-million-3d-model...
For example if I search “supercolumns” I get regular household furniture.
- Some are clearly miscategorized - ABC-00131096 is a coffee table but has a very detailed description of its chair attributes.
- Many others are weird nonsense geometry, like ABC-00991744, ABC-00807798, ABC-00349255 or ABC-00822766.
- Some have a partially accurate description (if you pretend it's a chair), like ABC-00685912 has a blocky geometric structure with a horizontal piece off a vertical piece, but then it starts talking about an armrest on one side that doesn't exist at all.
- ABC-00388826 is a silhouette of a cat, which the description misses completely, and I don't see how you would sit on this "unique chair design characterized by its fluid and sculptural form."
Overall the descriptions are pretty useless and ascribe a lot of chairness to things that are not chairs.
Is a dataset with this much junk in it good for something?