Generate Large, Synthetic, Annotated, & Photorealistic Datasets
Our goal is to make it quick and easy to generate a lot of training data for computer vision object recognition / semantic segmentation / instance segmentation.
Please read our beta announcement blog post.
In a nutshell, you (1) create a type of thing "Thing" you want to recognize, like a bottle or coffee machine. (2) Then, you upload 3D/CAD models of different variations of that thing you'll come across.
(3) you attach "Materials" to each 3D/CAD model you upload, and (4) specify its parts that you want to recognize as well.