DisasterVQA
Social media imagery offers a low-latency source of situational information during natural and human-induced disasters, but the complex, safety-critical reasoning required for disaster response is poorly served by general-purpose vision–language models. We introduce DisasterVQA, a benchmark dataset designed for perception and reasoning in crisis contexts. It comprises 1,395 real-world images and 4,405 expert-curated question–answer pairs […]