WildFireVQA - Localization and Direction: leaderboard

Metric: Accuracy (%) on the 4 localization and direction question types of the WildFireVQA wildfire-monitoring multiple-choice questions (34 question types, 6,097 aerial frames each, from FLAME drone imagery with sensor-derived labels), RGB image input without retrieved thermal statistics; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 4 models tracked.

Top models

#ModelScore
1Qwen 3 VL 8B Instruct40.35
2InternVL2-8B38.08

Interactive version: theaggregate.ai/benchmark?slug=wildfirevqa-localization-and-direction · How It Works · Data refreshed daily, snapshot 2026-10-07.