A Large-Scale Car Dataset for Fine-Grained Categorization and Verification

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Updated on 24/09/2015: This update provides preliminary experiment results for fine-grained classification on the surveillance data of CompCars. The train/test splits are provided in the updated dataset. See details in Section 6.

Linjie Yang, Ping Luo, Chen Change Loy, Xiaoou Tang · 2015

Related benchmarks

Task	Dataset	Result
Vehicle Re-identification	VeRi-776 (test)	Rank-178.64	232
Vehicle Re-identification	VehicleID 1600 (test)	Rank-1 Score43.45	69
Vehicle Re-identification	VehicleID 800 (test)	Rank-1 Acc47.9	69
Vehicle Re-identification	VehicleID 2400 (test)	Rank-138.24	63
Vehicle Re-identification	VehicleID (Small)	R-147.9	61
Vehicle Re-identification	VehicleID (Large)	R-138.24	39
Image Classification	CompCars Web (test)	Top-1 Acc91.2	33
Vehicle Re-identification	VehicleID (Medium)	Rank-143.45	28
Vehicle Re-identification	VeRi-Wild (test 3000)	R1 Accuracy57.16	25
Vehicle Re-identification	VeRi-Wild (test5000)	Rank-1 Accuracy53.16	24