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No.	file path	predict time	object detected	accuracy	left_x	top_y	width	height	group	city
1	0000000000.png	0.010684	null	null	null	null	null	null	0	Pittsburgh
2	0000000001.png	0.010619	null	null	null	null	null	null	0	Pittsburgh
3	0000000002.png	0.010679	null	null	null	null	null	null	0	NewYork
4	0000000003.png	0.010638	null	null	null	null	null	null	0	California
5	0000000004.png	0.010654	bus	30%	323	217	138	95	1
6	0000000005.png	0.010603	bus	53%	295	211	152	102	1
7	0000000006.png	0.010626	car	36%	293	240	117	79	1
8	0000000007.png	0.010622	null	null	null	null	null	null	0
9	0000000008.png	0.01065	car	30%	319	244	124	83	1
9	0000000008.png	0.01065	car	42%	228	249	141	85	1
10	0000000009.png	0.010759	car	47%	199	253	153	85	1
11	0000000010.png	0.010663	car	38%	168	248	176	95	1
12	0000000011.png	0.010644	bus	27%	97	127	295	185	1
12	0000000011.png	0.010644	car	30%	331	245	105	74	1
13	0000000012.png	0.010652	car	57%	299	248	120	72	1
13	0000000012.png	0.010652	car	51%	70	238	227	124	1
14	0000000013.png	0.010627	car	36%	293	248	97	75	1
15	0000000014.png	0.010628	car	52%	249	247	120	88	1
16	0000000015.png	0.010652	car	67%	237	245	130	89	1
16	0000000015.png	0.010652	bus	45%	-8	26	326	386	1
17	0000000016.png	0.010661	car	74%	201	247	146	89	1
17	0000000016.png	0.010661	car	61%	-1	199	164	193	1
18	0000000017.png	0.010633	car	36%	5	222	76	151	1
18	0000000017.png	0.010633	car	69%	181	253	147	89	1
19	0000000018.png	0.010617	car	32%	332	253	97	58	1
19	0000000018.png	0.010617	car	66%	107	250	167	103	1
20	0000000019.png	0.010624	car	46%	319	257	100	55	1
20	0000000019.png	0.010624	car	83%	39	244	225	127	1
21	0000000020.png	0.010638	car	61%	22	242	211	135	1
21	0000000020.png	0.010638	car	56%	308	256	109	58	1
22	0000000021.png	0.010656	car	38%	14	261	197	132	1
22	0000000021.png	0.010656	car	42%	303	257	110	55	1
23	0000000022.png	0.010639	car	64%	18	247	116	167	1
23	0000000022.png	0.010639	car	33%	314	257	115	58	1
24	0000000023.png	0.010637	car	53%	-1	254	104	151	1
24	0000000023.png	0.010637	car	27%	352	242	81	54	1
25	0000000024.png	0.010653	car	40%	1	246	53	175	1
25	0000000024.png	0.010653	car	29%	315	255	98	57	1
26	0000000025.png	0.011282	car	68%	125	262	147	78	1
26	0000000025.png	0.011282	car	47%	305	248	106	68	1
27	0000000026.png	0.010746	car	76%	95	264	163	85	1
27	0000000026.png	0.010746	car	44%	294	249	111	70	1
28	0000000027.png	0.010665	car	60%	82	270	148	75	1
28	0000000027.png	0.010665	car	33%	302	251	109	68	1
29	0000000028.png	0.010673	car	59%	57	266	151	83	1
29	0000000028.png	0.010673	car	39%	442	239	97	54	1
30	0000000029.png	0.010687	car	30%	439	237	103	52	1
30	0000000029.png	0.010687	car	44%	20	269	121	119	1
31	0000000030.png	0.0107	car	60%	16	268	117	116	1
31	0000000030.png	0.0107	car	43%	442	242	102	49	1
32	0000000031.png	0.010671	car	48%	-3	243	85	129	1
32	0000000031.png	0.010671	car	30%	444	238	88	50	1
33	0000000032.png	0.010676	car	43%	431	238	99	49	1
33	0000000032.png	0.010676	car	60%	84	258	146	87	1
34	0000000033.png	0.010659	car	26%	13	253	80	97	1
34	0000000033.png	0.010659	car	44%	421	241	108	48	1
35	0000000034.png	0.010629	car	33%	16	251	96	108	1
35	0000000034.png	0.010629	bus	26%	779	210	70	40	1
36	0000000035.png	0.010647	bus	30%	778	209	67	42	1
36	0000000035.png	0.010647	car	38%	4	248	81	114	1
37	0000000036.png	0.010633	bus	30%	772	208	71	44	1
37	0000000036.png	0.010633	car	46%	14	269	108	118	1
38	0000000037.png	0.010696	car	32%	414	243	97	48	1
38	0000000037.png	0.010696	car	47%	80	261	133	94	1
39	0000000038.png	0.010652	car	39%	46	276	153	94	1
39	0000000038.png	0.010652	car	48%	353	250	103	59	1
40	0000000039.png	0.010708	car	30%	432	246	72	42	1
40	0000000039.png	0.010708	car	71%	20	277	118	112	1
41	0000000040.png	0.010695	car	65%	1	272	104	118	1
41	0000000040.png	0.010695	car	56%	314	251	108	63	1
42	0000000041.png	0.010709	car	29%	10	259	74	142	1
42	0000000041.png	0.010709	car	59%	302	252	120	63	1
43	0000000042.png	0.010651	car	31%	5	249	225	115	1
43	0000000042.png	0.010651	bus	27%	754	207	83	49	1
44	0000000043.png	0.010658	car	51%	6	239	156	183	1
44	0000000043.png	0.010658	car	54%	298	252	107	66	1
45	0000000044.png	0.01066	car	49%	15	246	112	166	1
45	0000000044.png	0.01066	car	51%	312	252	100	66	1
46	0000000045.png	0.010665	car	51%	305	253	90	62	1
46	0000000045.png	0.010665	car	48%	2	253	85	156	1
47	0000000046.png	0.010667	car	28%	462	242	72	37	1
47	0000000046.png	0.010667	car	69%	184	260	156	82	1
48	0000000047.png	0.010649	car	54%	123	260	144	89	1
48	0000000047.png	0.010649	car	26%	454	240	79	38	1
49	0000000048.png	0.010661	car	41%	115	261	139	85	1
49	0000000048.png	0.010661	train	39%	738	206	85	54	1
50	0000000049.png	0.010654	car	62%	80	258	163	99	1
50	0000000049.png	0.010654	train	52%	735	203	100	59	1
51	0000000050.png	0.010655	car	29%	22	274	113	106	1
51	0000000050.png	0.010655	car	45%	423	247	81	34	1
52	0000000051.png	0.010675	car	37%	417	244	78	38	1
52	0000000051.png	0.010675	car	64%	15	268	138	121	1
53	0000000052.png	0.010642	car	73%	17	266	115	132	1
53	0000000052.png	0.010642	train	37%	728	203	93	57	1
54	0000000053.png	0.010606	car	38%	405	247	80	38	1
54	0000000053.png	0.010606	car	53%	4	272	93	116	1
55	0000000054.png	0.01128	car	26%	20	270	49	125	1
55	0000000054.png	0.01128	train	55%	714	202	119	60	1
56	0000000055.png	0.010667	car	78%	14	268	161	115	1
56	0000000055.png	0.010667	train	56%	721	204	108	57	1
57	0000000056.png	0.010655	car	78%	13	265	143	124	1
57	0000000056.png	0.010655	train	57%	738	210	95	65	1
58	0000000057.png	0.010677	train	64%	728	204	110	75	1
58	0000000057.png	0.010677	car	73%	7	262	115	127	1
59	0000000058.png	0.010629	car	70%	10	263	85	129	1
59	0000000058.png	0.010629	train	55%	726	207	111	67	1
60	0000000059.png	0.010652	car	49%	13	271	53	131	1
60	0000000059.png	0.010652	train	30%	731	217	89	47	1
61	0000000060.png	0.010652	train	53%	704	202	128	59	1
61	0000000060.png	0.010652	car	62%	300	251	117	57	1
62	0000000061.png	0.010637	car	72%	290	253	119	58	1
62	0000000061.png	0.010637	train	54%	710	203	112	60	1
63	0000000062.png	0.010648	car	73%	275	251	124	63	1
63	0000000062.png	0.010648	train	30%	717	202	118	60	1
64	0000000063.png	0.010645	dog	34%	823	0	307	115	1
64	0000000063.png	0.010645	car	68%	261	252	138	63	1
65	0000000064.png	0.010673	car	27%	86	258	183	65	1
65	0000000064.png	0.010673	dog	31%	813	1	329	110	1
66	0000000065.png	0.010634	car	75%	216	256	146	63	1
66	0000000065.png	0.010634	train	35%	714	208	116	49	1
67	0000000066.png	0.010624	train	45%	712	205	112	56	1
67	0000000066.png	0.010624	car	75%	198	252	145	71	1
68	0000000067.png	0.010621	train	43%	722	215	116	51	1
68	0000000067.png	0.010621	car	77%	189	253	137	73	1
69	0000000068.png	0.01066	train	31%	718	208	114	50	1
69	0000000068.png	0.01066	car	80%	161	256	156	76	1
70	0000000069.png	0.010648	car	82%	134	255	174	87	1
70	0000000069.png	0.010648	train	52%	722	215	120	51	1
71	0000000070.png	0.010676	train	50%	722	214	107	52	1
71	0000000070.png	0.010676	car	78%	102	257	183	89	1
72	0000000071.png	0.01065	train	28%	745	202	577	90	1
72	0000000071.png	0.01065	car	83%	86	261	190	89	1
73	0000000072.png	0.010653	train	35%	728	215	95	50	1
73	0000000072.png	0.010653	car	81%	69	260	174	92	1
74	0000000073.png	0.010622	train	34%	727	221	92	43	1
74	0000000073.png	0.010622	car	79%	35	261	187	99	1
75	0000000074.png	0.010639	train	48%	729	220	95	47	1
75	0000000074.png	0.010639	car	73%	4	261	191	124	1
76	0000000075.png	0.010626	train	56%	718	217	111	50	1
76	0000000075.png	0.010626	car	77%	9	266	172	118	1
77	0000000076.png	0.010642	train	27%	734	220	84	46	1
77	0000000076.png	0.010642	car	78%	15	261	144	128	1
78	0000000077.png	0.010606	car	73%	10	259	126	126	1
78	0000000077.png	0.010606	train	33%	719	216	105	51	1
79	0000000078.png	0.010637	car	68%	13	253	88	137	1
79	0000000078.png	0.010637	train	42%	725	218	94	48	1
80	0000000079.png	0.010644	car	70%	6	211	79	191	1
80	0000000079.png	0.010644	train	32%	716	200	102	63	1
81	0000000080.png	0.010635	car	31%	287	235	120	45	1
81	0000000080.png	0.010635	train	31%	719	203	97	56	1
82	0000000081.png	0.010676	car	30%	293	233	125	45	1
82	0000000081.png	0.010676	train	46%	715	203	97	60	1
83	0000000082.png	0.01065	car	42%	-9	246	365	96	1
83	0000000082.png	0.01065	train	30%	722	203	97	56	1
84	0000000083.png	0.010657	null	null	null	null	null	null	0
85	0000000084.png	0.010696	null	null	null	null	null	null	0
86	0000000085.png	0.010649	null	null	null	null	null	null	0
87	0000000086.png	0.010711	null	null	null	null	null	null	0
88	0000000087.png	0.010642	train	31%	1280	205	95	98	1
89	0000000088.png	0.010663	null	null	null	null	null	null	0
90	0000000089.png	0.010637	train	26%	1294	198	90	111	1
91	0000000090.png	0.010665	car	26%	199	236	142	44	1
92	0000000091.png	0.010662	null	null	null	null	null	null	0
93	0000000092.png	0.010656	null	null	null	null	null	null	0
94	0000000093.png	0.010628	train	26%	1089	191	310	111	1
94	0000000093.png	0.010628	car	34%	217	245	119	41	1
95	0000000094.png	0.010644	null	null	null	null	null	null	0
96	0000000095.png	0.010625	null	null	null	null	null	null	0
97	0000000096.png	0.010667	null	null	null	null	null	null	0
98	0000000097.png	0.010654	null	null	null	null	null	null	0
99	0000000098.png	0.010665	horse	26%	1321	201	72	113	1
100	0000000099.png	0.010645	car	32%	190	243	132	46	1
101	0000000100.png	0.010644	car	29%	9	249	121	85	1
101	0000000100.png	0.010644	car	37%	194	241	131	45	1
102	0000000101.png	0.011312	person	26%	582	2	96	54	1
102	0000000101.png	0.011312	car	27%	125	247	116	45	1
103	0000000102.png	0.010633	car	33%	3	232	96	67	1
103	0000000102.png	0.010633	car	40%	129	246	119	46	1
104	0000000103.png	0.010637	car	32%	103	249	133	47	1
105	0000000104.png	0.01064	car	46%	119	251	113	42	1
106	0000000105.png	0.010686	car	51%	93	252	126	53	1
106	0000000105.png	0.010686	car	29%	6	253	70	84	1
107	0000000106.png	0.010646	car	62%	101	249	121	47	1
108	0000000107.png	0.010622	car	57%	89	251	104	55	1
109	0000000108.png	0.010654	car	63%	85	251	109	57	1
110	0000000109.png	0.010648	bicycle	31%	1365	209	33	103	1
110	0000000109.png	0.010648	car	67%	74	253	121	55	1
111	0000000110.png	0.010607	car	65%	66	253	137	55	1
112	0000000111.png	0.01064	car	64%	63	253	140	56	1
113	0000000112.png	0.010668	car	61%	56	250	146	58	1
113	0000000112.png	0.010668	car	33%	32	253	70	60	1
114	0000000113.png	0.010624	car	35%	38	254	80	58	1
114	0000000113.png	0.010624	car	35%	38	254	80	58	1
114	0000000113.png	0.010624	car	57%	56	252	147	55	1

TRAFFICNET 2.0

An online traffic database

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