Flooding affects ~1.81 billion people worldwide, rising with urban growth. Flood patterns and impacts differ across locations due to varying geography and severity. Deucalion and Pyrrha datasets enable AI to detect flooded areas, wet surfaces, damages, vehicles and people in photos. Expanding them with geographically diverse images is expected to improve AI accuracy and effectiveness, enhancing disaster response by sourcing from thousands of social media posts and protecting lives and property.