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The UW‑Bench dataset, created by the School of Microelectronics and Communication Engineering at Chongqing University, focuses on urban flood detection, containing 7,677 annotated images sourced from surveillance cameras and handheld devices. The dataset was collected under various adverse conditions such as low light, strong reflections, and clear water, aiming to improve model generalization in real‑world applications. Manual annotation ensures data quality, suitable for enhancing accuracy and efficiency of urban flood detection.
