PKU VehicleID


The PKU VehicleID dataset is constructed by National Engineering Laboratory for Video Technology (NELVT), Peking University, sponsored by the National Basic Research Program of China and Chinese National Natural Science Foundation.

The “VehicleID” dataset contains data captured during daytime by multiple real-world surveillance cameras distributed in a small city in China. There are 26267 vehicles(221763 images in total) in the entire dataset. Each image is attached with an id label corresponding to its identity in real world. In addition, we manually labeled 10319 vehicles(90196 images in total) of their vehicle model information(i.e.“MINI-cooper”, “Audi A6L” and “BWM 1 Series”).

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The PKU VehicleID dataset is now partly made available for the academic purpose only on a case-by-case basis. The NELVT at Peking University is serving as the technical agent for distribution of the dataset and reserves the copyright of all the images in the dataset. Any researcher who requests the PKUVehicleID dataset must sign this agreement and thereby agrees to observe the restrictions listed in this document.


  • The images and the corresponding annotation results for download are part of PKU VehicleID dataset.
  • The images and the corresponding annotation results can only be used for ACADEMIC PURPOSES. NO COMERCIAL USE is allowed.
  • Copyright © National Engineering Laboratory for Video Technology (NELVT) and Institute of Digital Media, Peking University (PKU-IDM). All rights reserved.

All publications using PKU VehicleID dataset should cite the paper below:

  title={Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles},
  author={Liu, Hongye and Tian, Yonghong and Wang, Yaowei and Pang, Lu and Huang, Tiejun},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},


You can download the agreement (pdf) from here. After filling it, please send the electrical version to our Email: pkuml at (Subject: PKU-VehicleID-Agreement)  .

Please send it through an academic or institute email-addresses such as xxx at Requests from free email addresses (outlook, gmail, qq etc) will be kindly refused.

After confirming your information, we will send the download link and password to you via Email. You need to follow the agreement.

Usually we will reply in a week. But sometimes the mail does not arrive and display successfully for some unknown reason. If this happened, please change the content or title and try sending again.