Infrared ship target detection algorithm based on YOLOv5

Table 1. Clustering results
View table
View in Article
Table 1. Clustering results
K-means K-median++
[10, 13] [16, 11]
[16, 30] [42, 17]
[33, 23] [22, 44]
[30, 61] [36, 81]
[62, 45] [100, 29]
[59, 119] [170, 55]
[116, 90] [92, 147]
[156, 198] [160, 221]
[373, 326] [241, 109]

Table 2. Detection accuracy of different detection algorithms

View table

View in Article

Table 2. Detection accuracy of different detection algorithms

Algorithms	mAP@0.5	AP
Algorithms	mAP@0.5	Liner	Bulk	Warship	sailboat	Canoe	Container	Fishing
YOLOv5-SE	0.934%	0.936%	0.985%	0.992%	0.920%	0.889%	0.972%	0.841%
CBAM-Yolov5	0.930%	0.940%	0.986%	0.985%	0.916%	0.873%	0.959%	0.844%
YOLOv5	0.928%	0.939%	0.983%	0.989%	0.915%	0.876%	0.952%	0.839%
Proposed algorithms	0.939%	0.944%	0.986%	0.992%	0.916%	0.875%	0.973%	0.889%

Table 3. Comparison of ablation tests of various improved methods
View table
View in Article
Table 3. Comparison of ablation tests of various improved methods
Method K-median++ MIoU
a × ×
d √ ×
c × √
Proposed method √ √

Table 4. Ablation test results

View table

View in Article

Table 4. Ablation test results

Method	mAP@0.5	AP
Method	mAP@0.5	Liner	Bulk	Warship	Sailboat	Canoe	Container	Fishing
a	92.8%	93.9%	98.3%	98.9%	91.5%	87.6%	95.2%	83.9%
b	93.5%	93.6%	98.2%	99.0%	90.7%	87.9%	96.3%	88.7%
c	93.0%	94.4%	98.6%	98.5%	91.6%	87.3%	95.9%	84.4%
Proposed method	93.9%	94.4%	98.6%	99.2%	91.6%	87.5%	97.3%	88.9%

Tools

Get Citation

Copy Citation Text

Fen Liu, Jie Sun, Shuai Zhang, Hongqiang Sang, Xiujun Sun. Infrared ship target detection algorithm based on YOLOv5[J]. Infrared and Laser Engineering, 2023, 52(10): 20230006

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites