SimulaMet-HOST/HockeyAI

HockeyAI数据集是一个开源的数据集，专为冰球计算机视觉研究而设计。它包含了约2100个高分辨率帧和详细的YOLO格式注释，为在快节奏的运动环境中进行对象检测提供了丰富的数据基础。数据集从瑞典冰球联赛（SHL）的广播比赛中提取帧，并且每个帧都经过手动注释，确保了动态对象（如球员、冰球）和静态冰场元素（如球门柱、中心点）的高质量标签。

The HockeyAI dataset is an open-source dataset designed specifically for advancing computer vision research in ice hockey. It contains approximately 2,100 high-resolution frames with detailed YOLO-format annotations, providing a rich foundation for addressing the challenges of object detection in fast-paced sports environments. The dataset is extracted from broadcasted Swedish Hockey League (SHL) games and each frame is manually annotated to ensure high-quality labels for both dynamic objects (e.g., players, puck) and static rink elements (e.g., goalposts, center ice).