Underwater Image Processing and Object Detection Based on Deep CNN Method

Table 1

mAP and precision of different iteration times by Fast RCNN, Faster RCNN, and YOLO V3. ().

Iteration	Fast RCNN				Faster RCNN				YOLO V3
	mAP (%)	Precision (%)			mAP	Precision (%)			mAP (%)	Precision (%)
		Sea cucumber	Sea urchin	Scallop		Sea cucumber	Sea urchin	Scallop		Sea cucumber	Sea urchin	Scallop
2000	27.26	30.13	26.79	24.87	27.53	30.18	27.29	25.13	35.43	37.14	35.42	33.74
4000	37.56	40.51	38.23	33.93	38.74	40.80	39.35	36.06	45.90	48.12	45.50	44.08
6000	41.83	44.45	41.36	39.67	43.15	45.30	42.80	41.35	49.61	51.81	49.87	47.16
8000	45.37	48.67	45.85	41.59	46.59	48.35	47.35	44.08	52.40	54.56	53.14	49.51
10000	48.22	51.33	47.84	45.50	50.28	52.09	50.76	48.00	55.89	58.17	56.99	52.50
12000	50.90	53.75	51.31	47.65	52.53	53.96	53.44	50.20	58.34	59.77	59.48	55.77
14000	53.09	55.69	54.20	49.38	54.43	56.18	54.78	52.31	60.58	63.39	60.91	57.44
16000	55.04	58.85	54.92	51.35	57.32	59.66	56.98	55.34	62.02	64.09	62.50	59.47
18000	56.66	60.49	56.81	52.67	58.62	60.35	59.55	55.95	64.18	66.79	65.15	60.58
20000	58.63	62.12	58.49	55.27	60.93	62.30	61.86	58.63	66.00	68.87	66.20	62.93
22000	60.42	63.95	60.63	56.67	63.07	64.33	63.93	60.95	67.22	70.37	68.02	63.26
24000	61.35	64.57	62.19	57.29	64.37	65.94	64.67	62.51	68.88	71.50	70.54	64.60
26000	63.40	66.60	63.94	59.65	66.38	68.07	67.17	63.90	70.44	72.85	71.83	66.64
28000	65.03	68.81	65.36	60.92	68.15	69.98	68.67	65.82	72.00	74.79	73.17	68.03
30000	66.84	70.09	68.19	62.24	69.42	70.49	70.53	67.24	71.99	74.84	73.44	67.70
32000	67.68	70.73	68.53	63.78	70.68	72.78	71.47	67.79	72.24	74.47	73.78	68.47
34000	69.26	72.65	71.03	64.11	71.72	73.96	72.17	69.01	72.15	74.62	74.01	67.81
36000	70.96	74.75	72.23	65.90	73.75	74.44	75.02	71.79	71.88	74.87	72.82	67.95
38000	71.25	74.83	71.98	66.95	74.80	76.83	75.53	72.03	71.69	74.05	72.37	68.63
40000	72.88	76.46	74.09	68.08	75.75	77.53	76.13	73.58	72.70	75.55	73.70	68.83
42000	73.23	76.30	74.68	68.71	75.99	77.41	76.96	73.59	71.96	75.34	73.21	67.33
44000	73.13	76.19	74.49	68.70	74.86	77.65	73.26	73.67	71.57	74.83	72.59	67.28
46000	72.82	76.00	74.93	67.53	74.46	76.19	74.33	72.85	71.87	74.58	73.41	67.61
48000	73.01	76.46	74.07	68.49	74.62	76.16	74.41	73.30	71.59	74.19	73.39	67.20
50000	72.84	76.35	74.69	67.48	74.64	76.40	73.26	74.25	71.44	74.32	72.32	67.69

The detection results obtained by the methods proposed in this paper are shown in Table 1.