AlayaNeW/OpenDataLab___nuScenes

数据集介绍 简介 nuScenes数据集是一个大规模的自动驾驶数据集。该数据集具有用于在波士顿和新加坡收集的1000场景的3D边界框。每个场景长20秒，注释为2Hz。这导致总共28130个用于训练的样本，6019个用于验证的样本和6008个用于测试的样本。该数据集具有完整的自动驾驶车辆数据套件: 32光束激光雷达，6个摄像头和具有完整360 ° 覆盖的雷达。3D对象检测挑战评估10个类别的性能: 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。 类定义 animal human.pedestrian.adult human.pedestrian.child human.pedestrian.construction_worker human.pedestrian.personal_mobility human.pedestrian.police_officer human.pedestrian.stroller human.pedestrian.wheelchair… See the full description on the dataset page: https://huggingface.co/datasets/AlayaNeW/OpenDataLab___nuScenes.

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