SUNRGBD

SUNRGBD is a benchmark for understanding where things are in space. The official description says: "SUNRGBD - 3D spatial understanding benchmark using RGB-D indoor scenes". Below we describe in simple words what benchmarks of this type generally examine.

SUNRGBD measures understanding where things are in space. In detail, it checks:

• locating and pointing to regions in images
• reasoning about positions, counts and relations between objects
• 3D-aware questions such as depth, perspective and room layout
• grounded perception tasks that must stay anchored to pixel locations

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Official methodology note: SUNRGBD - 3D spatial understanding benchmark using RGB-D indoor scenes.

What is the SUNRGBD benchmark?

SUNRGBD is a benchmark for understanding where things are in space. The official description says: 'SUNRGBD - 3D spatial understanding benchmark using RGB-D indoor scenes'. Below we describe in simple words what benchmarks of this type generally examine.

What does SUNRGBD test?

SUNRGBD mainly measures understanding where things are in space. Concretely, it checks: locating and pointing to regions in images; reasoning about positions, counts and relations between objects; 3D-aware questions such as depth, perspective and room layout.

How is the SUNRGBD score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.

Where do I get SUNRGBD data and scores?

The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/sunrgbd/scores) or pull it directly from the Open LLM Radar API with any HTTP client.