manycore-research/SpatialLM-Dataset
SpatialLM Dataset The SpatialLM dataset is a large-scale, high-quality synthetic dataset designed by professional 3D designers and used for real-world production. It contains point clouds from 12,328 diverse indoor scenes comprising 54,778 rooms, each paired with rich ground-truth 3D annotations. SpatialLM dataset provides an additional valuable resource for advancing research in indoor scene understanding, 3D perception… See the full description on the dataset page: https://huggingface.co/datasets/manycore-research/SpatialLM-Dataset.
| Author / organization | manycore-research |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 1.2K (as reported by Hugging Face) |
| Likes | 17 |
| Created | 19 September 2025 |
| Last updated at source | 24 September 2025 |
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- 17 Oct 2026 Description: SpatialLM Dataset The SpatialLM dataset is a large-scale, high-quality synthetic dataset designed by professional 3D designers and used for real-world production. It contains point clouds from 12,328 diverse indoor scenes comprising 54,778 → SpatialLM Dataset The SpatialLM dataset is a large-scale, high-quality synthetic dataset designed by professional 3D designers and used for real-world production. It contains point clouds from 12,328 diverse indoor scenes comprising 54,778
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