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@@ -10,4 +10,6 @@ As a result each model is much smaller in size, every model is uniform and faste
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  This dataset is great for training networks about shapes of 3D objects.
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- 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.
 
 
 
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  This dataset is great for training networks about shapes of 3D objects.
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+ 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.
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+ The filenames will match up with the [Allen-AI Objaverse Metadata](https://huggingface.co/datasets/allenai/objaverse/tree/main/metadata)/