Surf Maneuver Recognition Dataset The Surf Maneuver Recognition Dataset is a comprehensive collection of data aimed at facilitating the development and evaluation of machine learning models for recognizing various surf maneuvers. This dataset is designed to support researchers and developers in creating advanced recognition systems that can identify specific actions performed by surfers, enhancing the analysis of surfing techniques and potentially contributing to coaching and automated event judging. The dataset includes the following: Video Clips: Short clips of surfers performing different maneuvers, captured from various angles and locations. Surf Maneuvers The dataset includes annotations for a variety of common surf maneuvers, such as: - Cutback-Frontside: A sharp turn back towards the breaking part of the wave. - Take-off: The act of catching the wave and standing up on the surfboard. - 360: A full rotation maneuver while on the wave. (all rotation maneuver] - Roller: Riding on top of the breaking wave. --- language: - en size_categories: - 1K