10,071 AI-generated 3D meshes across 65 categories, curated by Zero One Creative. The dataset is designed for spatial alignment, with assets being metric-scaled and semantically anchored. It was last updated on April 17, 2026.
Use Cases
- Zero-shot deployment of 3D assets in game engines based on metric-scale meshes.
- Training embodied AI agents in robotics simulators based on semantically anchored 3D environments.
- Populating AR/VR scenes with pre-aligned assets based on the spatial computing focus.
- Benchmarking generative 3D models based on the curated, multi-category synthetic data.
Strengths
- 10,071 assets provide a substantial collection for training and testing.
- 65 categories offer a wide range of object types, from basilisks to bassoons.
- Metric-scale and semantic anchoring addresses a known gap for spatial alignment.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Last updated 2026-04-17 15:23:56; freshness should be verified.
Provenance
- Source
- Zero One Creative
- Collection Method
- AI-generated and curated.
- Freshness
- 2026-04-17 15:23:56