Rating

Place	Team	AP, %			mAP, %	Admission to the final
		Bus	Car	Truck
1	fitpredict	86.65	85.24	57.65	76.52
2	icegas	88.11	73.67	53.54	71.77
3	AwesomeNet	90.98	75.84	48.20	71.68
4	DL_Team	51.78	29.29	16.43	32.50
5	SSDTeam	46.61	24.21	18.64	29.82	+
6	Bold_Boys	46.57	24.58	18.13	29.76	+
7	Team-A	47.64	25.21	2.36	25.07
8	LSCF	42.62	23.57	2.17	22.79
9	RSREU	19.32	32.34	0.67	17.44	+
10	Лицей_№10	31.87	19.96	0.00	17.28	+
11	BYLB [Big Yandex Lyceum Brothers]	17.63	16.34	6.52	13.50	+
12	Jurru	8.28	21.25	1.34	10.29	+

 

The rating is formed on basis of  the test sample recognition results. The AP (average precision) metric for each object type and mAP (mean average precision) metric for the entire sample are computed.

The threshold value of the measure IoU (Intersection over union) in the calculations is taken equal to 0.5.

To determine the quality of detection of AP and mAP objects, the library is used: https://github.com/rafaelpadilla/Object-Detection-Metrics