FloodSimBench

FloodSimBench: A High-Resolution Physical Flood Inundation Benchmark for AI FloodSimBench is a standardized, high-resolution (1m) benchmark dataset designed for urban flood inundation modeling. It bridges the gap between complex physical hydraulic modeling and deep learning foundation models (e.g., Transformers, CNNs). 1. Overview Objective: Provide a high-fidelity dataset for training and evaluating AI surrogate models for flood risk assessment and real-time… See the full description on the dataset page:

Source: Hugging Face Hub (chrimerss/FloodSimBench). Metadata imported from the dataset’s Hub tags.