xlzhou126/SpaceDG-Bench
SpaceDG-Bench π Homepage | π arXiv | π» GitHub SpaceDG-Bench is a human-verified benchmark designed to evaluate the spatial intelligence of Multimodal Large Language Models (MLLMs) under visual degradation. It contains 1,102 questions spanning 11 reasoning categories and 9 visual degradation types (such as motion blur, low light, adverse weather, lens distortion, and compression artifacts), yielding over 10K VQA instances. The benchmark is part of the SpaceDG project, whichβ¦ See the full description on the dataset page: https://huggingface.co/datasets/xlzhou126/SpaceDG-Bench.
| Author / organization | xlzhou126 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 579 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 9 May 2026 |
| Last updated at source | 16 June 2026 |
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