{"url":"/dataset/vehicle-1m","name":"Vehicle-1M","full_name":null,"description_markdown":"Vehicle-1M  involves vehicle images captured across day and night, from head or rear, by multiple surveillance cameras installed in cities. 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\"). All publications using Vehicle-1M dataset should cite the paper below:\r\nHaiyun Guo, Chaoyang Zhao, Zhiwei Liu, Jinqiao Wang, Hanqing Lu: Learning coarse-to-fine structured feature embedding for vehicle re-identification. AAAI 2018.","description_withheld":null,"homepage":"http://www.nlpr.ia.ac.cn/iva/homepage/jqwang/Vehicle1M.htm","introduced_date":"2018-02-08","introduced_date_note":null,"introduced_by":null,"license":{"name":"Copyright © National Laboratory of Pattern Recognition, Institute of Automation, University of Chinese Academy of Sciences. All rights reserved.","url":"http://www.nlpr.ia.ac.cn/iva/homepage/jqwang/assets/pdf/Vehicle-1MAGREEMENT.pdf"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Vehicle Re-Identification","url":"/task/vehicle-re-identification","datasets_with_task":"/datasets/task/vehicle-re-identification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Vehicle-1M"],"data_loaders":[],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}