Sign inGet started
Dataset · Hugging Face

turhancan97/SpaRRTa

SpaRRTa: A Synthetic Benchmark for Evaluating Spatial Intelligence in Visual Foundation Models SpaRRTa is a synthetic benchmark that probes whether Visual Foundation Models (VFMs) — such as DINO, DINOv2/v3, MAE, CroCo, VGGT, SPA and CLIP — encode the spatial relations between objects in a scene, rather than only their semantic identity. 📄 Paper: arXiv:2601.11729 💻 Code: github.com/gmum/SpaRRTa 🧱 Real-world (lego) split: turhancan97/SpaRRTa-Lego 🔬 Attention-analysis split (images +… See the full description on the dataset page: https://huggingface.co/datasets/turhancan97/SpaRRTa.

Author / organizationturhancan97
License (as declared)mit
Downloads132 (as reported by Hugging Face)
Likes1
Created9 March 2026
Last updated at source26 June 2026
spatial-reasoningspatial_intelligencevision-foundation-modelsprobingbenchmarkunreal-engine
Embed this entry
<iframe src="https://silytics.si/embed/item/81ede039-06b2-43da-ab99-7d871e27b1d0" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

132 now (-7 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from turhancan97

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.