River Surface Optical Flow Dataset for Surface Velocity Estimation

It consists of consecutive image pairs captured from natural river surfaces under a variety of flow conditions, including laminar flow, structure-induced flow, tracer-enhanced flow, and turbulent flow.Each data sample contains two temporally consecutive frames together with the corresponding optical flow field.

The optical flow is represented in a two-channel format, where each pixel encodes the horizontal and vertical displacement components of motion.The dataset aims to facilitate the development, evaluation, and benchmarking of both traditional optical flow algorithms and deep learning–based motion estimation methods for hydrological applications.For each sample, the original images are provided in JPG format and follow a sequential naming convention (e.g., 0001_a.jpg and 0001_b.jpg), which together form the input image pair for optical flow estimation.