The paper presents a new dataset with recordings and annotations of camera network for the analysis of traffic flow. The main originality is the graph based structure of the relationships between cameras. The Reviewers agree that the dataset has been properly designed and might have a potential impact on scientific community. The paper includes an empirical evaluation of some reference methods.

I encourage you to continue to expand the baselines, include the details about the annotations in the appendix of the paper, and work on providing a well-documented code release. I trust you will do all of these things. Though I'm impressed with the rebuttal, I will probably not change my score since I think it is already quite high. I do however think the paper should be accepted. Best, R3 ### Originality -STREETS differs from previous work in several ways: --The dataset is collected from a camera network with a graph-based structure, and the relationship between cameras is available --The dataset focuses on the suburban setting --The dataset accumulates temporal traffic data from multiple intersections Overall, the authors have clearly explained how STREETS is different from prior work and have explicitly developed STREETS to address shortcomings in this work.

In this paper, we introduce STREETS, a novel traffic flow dataset from publicly available web cameras in the suburbs of Chicago, IL. We seek to address the limitations of existing datasets in this area. Many such datasets lack a coherent traffic network graph to describe the relationship between sensors. The datasets that do provide a graph depict traffic flow in urban population centers or highway systems and use costly sensors like induction loops. These contexts differ from that of a suburban traffic body.

In this paper, we introduce STREETS, a novel traffic flow dataset from publicly available web cameras in the suburbs of Chicago, IL. We seek to address the limitations of existing datasets in this area. Many such datasets lack a coherent traffic network graph to describe the relationship between sensors. The datasets that do provide a graph depict traffic flow in urban population centers or highway systems and use costly sensors like induction loops. These contexts differ from that of a suburban traffic body.