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license: mit |
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This is 125,160 _(out of 800,000)_ 3D models 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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As a result each model is much smaller in size, every model is uniform and faster to process. |
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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). |
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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. |
