metadata
license: mit
This is 125,160 models from AllenAI Objaverse 1.0.
These models have had their materials & normals removed, have been normalised in scale and origin recentered, and are all triangulated.
As a result each model is much smaller in size and faster to process.
This dataset is great for training networks about shapes of 3D objects.
My suggested use of this dataset is to raytrace a point-cloud of 𝑥 density from the triangle faced meshes, this can then be used to train a neural network to produce point-cloud shapes which can then be re-meshed.