Underwater Image Processing and Object Detection Based on Deep CNN Method

Table 2

mAP and precision of different iteration times by YOLO v3 and modified methods. ().

Iteration	Original network				Scheme 1				Scheme 2
	mAP (%)	Precision (%)			mAP	Precision (%)			mAP	Precision (%)
		Sea cucumber	Sea urchin	Scallop		Sea cucumber	Sea urchin	Scallop		Sea cucumber	Sea urchin	Scallop
2000	24.90	28.88	26.48	19.35	40.29	42.25	40.25	38.37	40.72	42.25	41.25	38.65
4000	33.95	38.90	36.90	26.07	52.47	54.10	53.55	49.76	52.71	54.28	52.54	51.31
6000	40.85	40.57	37.45	44.54	57.94	60.76	58.25	54.81	57.73	59.24	58.51	55.43
8000	42.51	45.51	42.34	39.67	61.63	63.49	61.93	59.46	62.22	64.60	62.26	59.79
10000	44.72	50.58	44.29	39.29	65.27	68.39	66.11	61.31	64.91	67.60	65.33	61.79
12000	49.53	48.75	48.11	51.74	68.04	71.64	67.95	64.53	67.49	69.04	68.98	64.45
14000	48.37	50.35	50.59	44.16	70.50	72.86	70.74	67.89	70.47	72.64	70.35	68.41
16000	54.12	53.40	50.48	58.49	73.61	76.17	74.23	70.44	72.72	75.16	73.45	69.54
18000	52.95	59.29	55.08	44.48	75.38	78.84	74.99	72.31	74.32	76.51	75.40	71.07
20000	57.33	58.04	54.54	59.42	77.20	80.87	77.05	73.69	76.82	78.91	78.04	73.51
22000	58.04	57.21	59.24	57.67	79.54	82.80	79.70	76.13	78.48	80.72	79.70	75.02
24000	55.44	62.44	59.14	44.75	81.18	85.61	80.80	77.14	80.37	82.28	82.03	76.80
26000	57.85	61.98	62.52	49.05	83.02	86.31	82.70	80.06	83.34	85.46	84.48	80.07
28000	60.42	62.81	62.56	55.89	85.01	88.52	85.25	81.25	84.69	87.32	86.04	80.70
30000	59.74	67.91	61.47	49.85	85.60	89.44	85.78	81.58	86.54	89.33	87.92	82.39
32000	62.32	65.73	63.52	57.72	84.90	88.06	85.56	81.06	87.65	90.15	88.55	84.25
34000	63.60	68.72	65.44	56.64	84.96	88.28	85.79	80.82	87.92	90.96	89.55	83.26
36000	64.70	72.76	65.55	55.80	85.13	88.11	85.42	81.87	87.34	89.36	88.08	84.57
38000	63.73	69.71	65.50	55.98	85.65	89.40	85.33	82.21	87.90	89.62	89.28	84.79
40000	71.77	70.26	67.52	77.54	85.02	88.46	85.83	80.76	87.69	89.88	88.17	85.04
42000	67.62	71.46	69.78	61.63	85.12	89.47	84.89	80.99	87.58	90.27	87.99	84.48
44000	69.25	71.82	66.45	69.47	84.79	87.91	84.47	81.99	87.57	90.56	88.08	84.08
46000	66.42	71.26	71.02	56.99	85.04	89.01	84.45	81.66	87.15	89.48	88.64	83.33
48000	66.19	70.46	66.96	61.15	85.05	88.37	85.10	81.66	87.21	89.27	88.42	83.95
50000	70.33	68.86	70.35	71.78	84.59	88.73	84.78	80.27	87.42	90.69	87.68	83.91