Benchmark
VQAv2 (val)
VQAv2 is a balanced Visual Question Answering dataset containing open-ended questions about images that require understanding of vision, language, and…
- Modality
- multimodal
- Categories
- multimodal, reasoning, image_to_text, language, vision
- Openness
- unknown
- Source
- llm_stats
- Reported scores
- 3
Reported scores
llm_stats
| Model | Organization | Reported value | Reported | Evidence |
|---|---|---|---|---|
| Gemma 3 12B | 0.716 | 2025-03-12 | evidence | |
| Gemma 3 27B | 0.71 | 2025-03-12 | evidence | |
| Gemma 3 4B | 0.624 | 2025-03-12 | evidence |
Scores are partitioned by the source that reported them and are never merged into a single cross-source ranking, because the sources measure different things and say so.