Ship detection in optical sensing images based on YOLOv5

Yuwen Chen; Chao Zhang; Tengfei Qiao; Jianlin Xiong; Bin Liu

doi:10.1117/12.2589395

27 January 2021 Ship detection in optical sensing images based on YOLOv5

Yuwen Chen, Chao Zhang, Tengfei Qiao, Jianlin Xiong, Bin Liu

Proceedings Volume 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020); 117200E (2021) https://doi.org/10.1117/12.2589395
Event: Twelfth International Conference on Graphics and Image Processing, 2020, Xi'an, China

Abstract

Ship detection technology is an important development direction in the field of optical remote sensing image processing. In recent years, convolutional neural networks have achieved good results in ship target detection and recognition. We train the latest model YOLOv5 on our dataset in this paper. The results show that YOLOv5 can be well applied in the field of ship detection.

Citation Download Citation

Yuwen Chen, Chao Zhang, Tengfei Qiao, Jianlin Xiong, and Bin Liu "Ship detection in optical sensing images based on YOLOv5", Proc. SPIE 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020), 117200E (27 January 2021); https://doi.org/10.1117/12.2589395

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