D²-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios
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D²-City is a large-scale driving video dataset that provides more than 10,000 dashcam videos recorded in 720p HD or 1080p FHD. Around 1000 of the videos come with detection and tracking annotation in each frame of all road objects, including bounding boxes and the tracking IDs of cars, vans, buses, trucks, pedestrians, motorcycles, bicycles, open- and closed-tricycles, forklifts, and large- and small-blocks. Some of the remainders of the videos come with road objects annotated in keyframes. Compared with existing datasets, D²-City benefits from its huge amount of diversity as data is collected from several cities throughout China and features varying weather, road, and traffic conditions. D²-City pays special attention to challenges in complex and various traffic scenarios. By bring more challenging cases to the community, we hope that this dataset will encourage and help new advances in the perception area of intelligent driving. The D²-City dataset and the corresponding challenges are originally hosted on DiDi GAIA's platform (URL: https://outreach.didichuxing.com/d2city/d2city)
D²-City是一款大规模驾驶视频数据集，共收录逾10000段由行车记录仪采集的720p高清（HD）或1080p全高清（FHD）视频。其中约1000段视频的所有帧均针对各类道路目标完成了检测与跟踪标注，标注内容包含轿车、面包车、公交车、卡车、行人、摩托车、自行车、开式与闭式三轮车、叉车，以及大型块体与小型块体的边界框（bounding box）与跟踪ID（tracking ID）。其余视频中，部分仅在关键帧上标注了道路目标。相较于现有公开数据集，D²-City具备极强的样本多样性——数据采集自中国境内多个城市，涵盖了多变的天气、道路与交通工况。该数据集特别聚焦于复杂多样交通场景下的感知挑战。通过为社区提供更多高难度场景案例，我们期望本数据集能够推动智能驾驶感知领域的技术创新与发展。D²-City数据集及配套挑战赛最初托管于滴滴GAIA（DiDi GAIA）平台，相关访问网址为：https://outreach.didichuxing.com/d2city/d2city
