The Vehicle-1M dataset is constructed by National Laboratory of Pattern Recognition, Institute of Automation, University of Chinese Academy of Sciences (NLPR, CASIA). This dataset involves vehicle images captured across day and night, from head or rear, by multiple surveillance cameras installed in several cities in China. There are totally 936,051 images from 55,527 vehicles and 400 vehicle models in the dataset. Each image is attached with a vehicle ID label denoting its identity in real world as well as a vehicle model label indicating the make, model and year of the vehicle(i.e. "Audi-A6-2013").
- The images and the corresponding annotation results for download are part of Vehicle-1M dataset.
- The images and the corresponding annotation results can only be used for ACADEMIC PURPOSES. NO COMERCIAL USE is allowed.
- Copyright © National Laboratory of Pattern Recognition, Institute of Automation, University of Chinese Academy of Sciences. All rights reserved.
All publications using Vehicle-1M dataset should cite the paper below:
Haiyun Guo, Chaoyang Zhao, Zhiwei Liu, Jinqiao Wang, Hanqing Lu: Learning coarse-to-fine structured feature embedding for vehicle re-identification. AAAI 2018.
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