Research on marine flexible biological target detection based on improved YOLOv8 algorithm

To address the challenge of suboptimal object detection outcomes stemming from the deformability of marine flexible biological entities, this study introduces an algorithm tailored for detecting marine flexible biological targets. Initially, we compiled a dataset comprising marine flexible biologica...

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Veröffentlicht in:	PeerJ. Computer science Jg. 10; S. e2271
Hauptverfasser:	Tian, Yu, Liu, Yanwen, Lin, Baohang, Li, Peng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States PeerJ. Ltd 22.08.2024 PeerJ Inc
Schlagworte:	Algorithms Algorithms and Analysis of Algorithms Artificial Intelligence CLAHE Computer Vision Data Mining and Machine Learning Improved YOLOv8 Marine flexible biological targets Neural Networks Target detection Marine flexible biological targets Improved YOLOv8 CLAHE Target detection
ISSN:	2376-5992, 2376-5992
Online-Zugang:	Volltext
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