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We collected and annotated 60,000 frames

with rich information, leading to about 900,000 annotated objects.

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You can see the the sample annotation on the right

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The dataset is released under Creative Commons Attribution 4.0 License and our user agreement.

test_citycam.png

You can try out our sample data by click the button below. it contains data from one camera with three different time window.

Full Dataset download: By clicking on the Download button, you agree to our License and our user agreement. If you have any questions regarding the dataset, please contact us at citycam12@gmail.com

All submitted papers or any publicly available text using the CityCam database must cite the following paper:

Shanghang Zhang, Guanhang Wu, João P. Costeira, and José MF MouraUnderstanding Traffic Density from Large-Scale Web Camera Data, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, pp. 4264-4273.

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Related papers:

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H Zhao, S Zhang, G Wu, JP Costeira, JMF Moura, GJ Gordon, Adversarial Multiple Source Domain Adaptation, Neural Information Processing Systems (NIPS) 2018

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S Zhang, G Wu, JP Costeira, JMF Moura, FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras, International Conference on Computer Vision (ICCV) 2017

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