DisasterBench (UAV) - Situation Understanding and Classification: leaderboard
Metric: Accuracy (%) on situation understanding and classification (SUC) questions on the 3,000-question test split of low-altitude UAV disaster images (14 disaster scene types), multiple choice scored by strict exact match on the final option letter; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 21 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 2.5 Pro | 94.14 |
| 2 | Gemini 2.5 Flash | 92.83 |
| 3 | GPT-5 | 92.51 |
| 4 | Claude Sonnet 4.5 | 91.86 |
| 5 | Gemini 2.0 Flash | 89.9 |
| 6 | Grok 4 | 89.58 |
| 7 | GPT-4o | 86.32 |
| 8 | Qwen 2.5 VL 7B Instruct | 85.02 |
| 9 | InternVL3.5-8B | 83.71 |
| 10 | GPT-4o Mini | 81.76 |
| 11 | InternVL2-8B | 81.43 |
Interactive version: theaggregate.ai/benchmark?slug=disasterbench-uav-situation-understanding-and-classification · How It Works · Data refreshed daily, snapshot 2026-09-29.