Spacewanderer8263/Proxy3D-SpaceSpan-318K
SpaceSpan Dataset SpaceSpan is a large-scale dataset curated for the training and evaluation of 3D vision-language models (VLMs), specifically introduced in the paper Proxy3D: Efficient 3D Representations for Vision-Language Models via Semantic Clustering and Alignment. Project Page | GitHub Repository Dataset Description The SpaceSpan dataset is designed to help VLMs develop spatial intelligence through 3D proxy representations. It incorporates heterogeneous… See the full description on the dataset page: https://huggingface.co/datasets/Spacewanderer8263/Proxy3D-SpaceSpan-318K.
| Author / organization | Spacewanderer8263 |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.1K (as reported by Hugging Face) |
| Likes | 2 |
| Created | 7 May 2026 |
| Last updated at source | 15 May 2026 |
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- 16 Oct 2026 Description: SpaceSpan Dataset SpaceSpan is a large-scale dataset curated for the training and evaluation of 3D vision-language models (VLMs), specifically introduced in the paper Proxy3D: Efficient 3D Representations for Vision-Language Models via Sema → SpaceSpan Dataset SpaceSpan is a large-scale dataset curated for the training and evaluation of 3D vision-language models (VLMs), specifically introduced in the paper Proxy3D: Efficient 3D Representations for Vision-Language Models via Sema
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