Neolix OD

we have presented a diverse dataset for autonomous driving by capturing a wide range of interesting scenarios, which shows the domain diversity among different cities, including Beijing, Shenzhen and Xi¡¯an. The dataset are open to the public; anyone interested in training is welcome. We believe that this dataset will be highly useful in many areas of computer vision and autonomous driving. We collect the data in different cities, including Beijing, Shenzhen and Xi¡¯an. The data collection covers multiple regions, and various driving conditions, including day, night, dawn, dusk and sunny day. We sample the raw data in different sample frequency according to the different velocity of the collection car. Then our annotators discard the data whose scene is the same with other files. The remaining files are annotated by the annotators.

本工作构建了一款面向自动驾驶（Autonomous Driving）的多样化数据集，通过采集大量丰富的典型场景数据，展现了北京、深圳与西安等不同城市间的领域差异性。该数据集已面向公众开源，欢迎所有有自动驾驶训练需求的人员使用。我们相信，该数据集将在计算机视觉（Computer Vision）与自动驾驶的诸多研究领域中具备极高的应用价值。我们在包括北京、深圳与西安在内的多个城市开展数据采集工作，数据覆盖多类区域与多样驾驶工况，涵盖日间、夜间、黎明、黄昏以及晴朗天气等多种场景。我们根据采集车辆的行驶速度，对原始数据采用差异化的采样频率进行抽样处理。随后，标注人员会剔除场景重复的文件，剩余文件将由标注人员完成全部标注工作。

搜集汇总

背景与挑战

背景概述

Neolix OD是一个19.58GB的自动驾驶3D Box数据集，采集自北京、深圳和西安等多个城市，涵盖多种驾驶条件，适用于计算机视觉和自动驾驶研究。