无人驾驶算法模型训练路侧数据

通过自动驾驶示范区道路的路侧设备采集的场景数据，经过抽帧后的图片，用描述文件标注出其中的要素，如：小汽车、SUV、大巴车、摩托车、骑手、行人等要素，可用于无人驾驶算法模型训练，提高算法精准度。

This dataset consists of frame-sampled images collected by roadside equipment on roads in autonomous driving demonstration zones. Relevant elements in these images are annotated via description files, including passenger cars, SUVs, coaches, motorcycles, riders, pedestrians and other related objects. It can be used for training autonomous driving algorithm models to improve their detection accuracy.