RefCOCO (avg)

RefCOCO (avg) is a benchmark for understanding where things are in space. The official description says: "RefCOCO (avg) - referring expression comprehension benchmark, average score". Below we describe in simple words what benchmarks of this type generally examine.

RefCOCO (avg) 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: RefCOCO (avg) - referring expression comprehension benchmark, average score.

What is the RefCOCO (avg) benchmark?

RefCOCO (avg) is a benchmark for understanding where things are in space. The official description says: 'RefCOCO (avg) - referring expression comprehension benchmark, average score'. Below we describe in simple words what benchmarks of this type generally examine.

What does RefCOCO (avg) test?

RefCOCO (avg) 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 RefCOCO (avg) 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 RefCOCO (avg) 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/refcoco-avg/scores) or pull it directly from the Open LLM Radar API with any HTTP client.