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| title: README |
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| https://cdn-uploads.huggingface.co/production/uploads/654657569c4bf757d6d06f36/zNwTRM4h61awTAqng6i3X.webp |
| short_description: The largest proprietary library of human-authored 3D assets |
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| # A23D — The largest proprietary library of human-authored 3D assets — built for AI training and generative 3D |
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| A23D is a proprietary dataset of **500,000+ 3D models, PBR textures, decals, and IES profiles**, entirely human-authored in-house. Every asset is built by our own team to one concept, one vision, one structure — delivering consistency across scale, orientation, topology, materials, and metadata that open-source and marketplace datasets can't match. |
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| ## What Makes It Different |
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| Every model is textured with our own PBR materials, giving us **component-level geometry-and-material ground truth** (albedo, roughness, metallic, normals). Every asset in the corpus contains linked geometry, materials, topology, taxonomy, dimensions, and component-level metadata created under a single production standard. |
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| This forms a **structured graph connecting geometry, materials, semantics, topology, dimensions, and categories** — a depth of per-asset metadata not found in open-source or marketplace datasets. |
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| ## Dataset at a Glance |
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| - 400,000+ 3D Models |
| - 100,000+ PBR Textures |
| - 14,000+ Decals |
| - 10,000+ IES Profiles |
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| ## Use Cases |
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| - Training data for generative 3D and 3D foundation models |
| - Geometry-and-material ground truth for reconstruction and material estimation |
| - Structured 3D corpora for research in topology, semantics, and taxonomy |
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| ## Licensing |
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| We license this dataset for **AI training and generative 3D**. To discuss access, reach out via [enterprise@a23d.co](https://a23d.co/) or visit a23d.co/ai |
