Netting Damage Detection for Marine Aquaculture Facilities Based on Improved Mask R-CNN

Netting damage limits the safe development of marine aquaculture. In order to identify and locate damaged netting accurately, we propose a detection method using an improved Mask R-CNN. We create an image dataset of different kinds of damage from a mix of conditions and enhance it by data augmentati...

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Bibliographic Details

Published in:	Journal of Marine Science and Engineering
Main Authors:	Ziliang Zhang, Fukun Gui, Xiaoyu Qu, Dejun Feng
Format:	Article
Language:	English
Published:	MDPI AG 2022-07-01
Subjects:	marine aquaculture netting damage machine vision deep learning object detection feature extraction
Online Access:	https://www.mdpi.com/2077-1312/10/7/996