D²-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios

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，提供超1万段以720p高清（720p HD）或1080p全高清（1080p FHD）格式录制的行车记录仪视频。其中约1000段视频对全帧内的所有道路目标均提供检测与跟踪标注，涵盖汽车、厢式货车、公交车、卡车、行人、摩托车、自行车、开式与闭式三轮车、叉车以及大型块体和小型块体的边界框及跟踪ID。剩余视频中，部分仅在关键帧上完成了道路目标标注。与现有同类数据集相比，D²-City具备极强的场景多样性：数据采集自中国多座城市，涵盖不同天气、道路与交通状况。D²-City特别关注复杂多样的交通场景中的感知挑战。通过向社区开放更多高难度场景案例，我们期望本数据集能够助力智能驾驶感知领域的技术创新与进步。D²-City数据集及配套挑战赛最初部署于滴滴GAIA（DiDi GAIA）平台，相关访问网址为：https://outreach.didichuxing.com/d2city/d2city

搜集汇总

背景与挑战

背景概述

D²-City是一个大规模行车记录仪视频数据集，包含超过10,000个高清视频，其中约1,000个视频提供了每帧的道路对象检测和跟踪标注，涵盖多种车辆和行人类型。数据集以其多样性为特点，数据收集自中国多个城市，覆盖不同天气和交通条件，旨在推动智能驾驶感知技术的研究。