Data for STREETS: A Novel Camera Network Dataset for Traffic Flow

This dataset accompanies the paper "STREETS: A Novel Camera Network Dataset for Traffic Flow" at Neural Information Processing Systems (NeurIPS) 2019. Included are:

*Over four million still images form publicly accessible cameras in Lake County, IL. The images were collected across 2.5 months in 2018 and 2019.
*Directed graphs describing the camera network structure in two communities in Lake County.
*Documented non-recurring traffic incidents in Lake County coinciding with the 2018 data.
*Traffic counts for each day of images in the dataset. These counts track the volume of traffic in each community.
*Other annotations and files useful for computer vision systems.

Refer to the accompanying "readme.txt" or "readme.pdf" for further details.

本数据集配套发表于2019年神经信息处理系统大会（Neural Information Processing Systems, NeurIPS）的论文《STREETS：面向交通流的新型摄像头网络数据集》。包含内容如下：
* 采集自伊利诺伊州莱克县公开可访问摄像头的超400万张静态图像，采集周期覆盖2018至2019年间的2.5个月。
* 用于描述莱克县两个社区摄像头网络拓扑结构的有向图。
* 记录有莱克县2018年采集数据同期发生的非重复性交通事件的文档。
* 数据集内各图像对应日期的交通流量统计数据，用于追踪各社区的交通通行总量。
* 其他可供计算机视觉系统使用的标注文件与辅助资源。
更多详细信息请参阅配套的"readme.txt"或"readme.pdf"文档。