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README.md
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license: mit
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This is 125,160 _(out of 800,000)_
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These models have had their materials & normals removed, have been normalised in scale and origin recentered, and are all triangulated.
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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).
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license: mit
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This is 125,160 _(out of 800,000)_ 3D bmodels from [AllenAI Objaverse 1.0](https://huggingface.co/datasets/allenai/objaverse).
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These models have had their materials & normals removed, have been normalised in scale and origin recentered, and are all triangulated.
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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).
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If you want an even smaller dataset then [Plyverse-1.0](https://huggingface.co/datasets/tfnn/Plyverse-1.0) is the same pre-processing on 10,000 3D models.
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