Re-ID模型评估结果

预训练Resnet-18模型直接用于人车对

Dataset	Rank-1	Rank-5	Rank-10	mAP	mINP	metric
BikePerson	0.12	0.65	1.22	0.19	0.09	0.15

VehicleID模型直接用于人车对

Dataset	Rank-1	Rank-5	Rank-10	mAP	mINP	metric
BikePerson	0.97	2.47	3.71	0.60	0.13	0.78

Market1501 People Re-ID模型直接用于人车对

Dataset	Rank-1	Rank-5	Rank-10	mAP	mINP	metric
BikePerson	0.93	2.55	3.80	0.62	0.13	0.77

Market1501 People Re-ID模型训练后用于人车对

Dataset	Rank-1	Rank-5	Rank-10	mAP	mINP	metric
BikePerson	67.95	81.73	88.68	66.71	51.75	67.33

Market1501 People Re-ID模型训练后用于自行车

Dataset	Rank-1	Rank-5	Rank-10	mAP	mINP	metric
BikePerson	56.25	71.43	79.53	52.79	34.39	54.52