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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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Hoofdauteurs: Ziliang Zhang, Fukun Gui, Xiaoyu Qu, Dejun Feng
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2022-07-01
Reeks:Journal of Marine Science and Engineering
Onderwerpen:
marine aquaculture
netting damage
machine vision
deep learning
object detection
feature extraction
Online toegang:https://www.mdpi.com/2077-1312/10/7/996
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