multimodal benchmark
RefCOCOg
RefCOCOg is a referring expression comprehension benchmark that evaluates spatial grounding in images. Given a natural language expression describing an object, the model must localize the correct region, evaluated by accuracy at a 0.5 IoU threshold. It features longer, more descriptive expressions than RefCOCO and RefCOCO+.
Updated Aug 11, 2026
Models1
Model coverage1
MetricScore
EvidenceB
RefCOCOg Ranking
Higher score ranks better on this benchmark.
| 1 | AM Nova 2 OmniAmazon | 86.3% | 100.0% | 1 | C |
RefCOCOg Highlights
The leading models and scores on this benchmark.
What is RefCOCOg?
What RefCOCOg measures and how its scores work.
RefCOCOg is a referring expression comprehension benchmark that evaluates spatial grounding in images. Given a natural language expression describing an object, the model must localize the correct region, evaluated by accuracy at a 0.5 IoU threshold. It features longer, more descriptive expressions than RefCOCO and RefCOCO+.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- RefCOCOg
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- refcocog|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about RefCOCOg.
Which model scores highest on RefCOCOg?
Nova 2 Omni is currently ranked first with 86.3%.
What does RefCOCOg measure?
RefCOCOg is a referring expression comprehension benchmark that evaluates spatial grounding in images. Given a natural language expression describing an object, the model must localize the correct region, evaluated by accuracy at a 0.5 IoU threshold. It features longer, more descriptive expressions than RefCOCO and RefCOCO+.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.