Automated Wildfire Damage Assessment from Multi view Ground level Imagery Via Vision Language Models

ArXi:2509.01895v2 Announce Type: replace The escalating intensity and frequency of wildfires demand innovative computational methods for rapid and accurate property damage assessment. Traditional methods are often time-consuming, while modern computer vision approaches typically require extensive labeled datasets, hindering immediate post-disaster deployment. This research