AlayaNeW/OpenDataLab___nuScenes

nuScenes数据集是一个大规模的自动驾驶数据集，包括在波士顿和新加坡收集的1000个场景的3D边界框，每个场景时长20秒，注释频率为2Hz。该数据集提供了完整的自动驾驶车辆数据套件，包括32光束激光雷达、6个摄像头和360°雷达覆盖。数据集针对10个类别进行3D对象检测性能评估，包括汽车、卡车、公共汽车、拖车、建筑车辆、行人、摩托车、自行车、交通锥和障碍物。

nuScenes is a large-scale autonomous driving dataset that includes 3D bounding boxes from 1000 scenes collected in Boston and Singapore, each lasting 20 seconds with a 2Hz annotation frequency. The dataset provides a complete suite of autonomous driving vehicle data, including a 32-beam LiDAR, 6 cameras, and 360-degree radar coverage. The dataset evaluates the performance of 3D object detection for 10 categories, including car, truck, bus, trailer, construction vehicle, pedestrian, motorcycle, bicycle, traffic cone, and obstacle.