Cross-domain analysis of YOLOv8 and faster R-CNN models for enhanced precision in maritime object detection

Recent advancements in machine vision, particularly through Convolutional Neural Networks (CNNs), have significantly improved object detection in maritime environments. This study evaluates the performance of two leading object detection algorithms—YOLOv8 and Faster R-CNN—along with their respective...

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Bibliographic Details

Main Authors:	Zainal Abidin, Zulkifli, Norazaruddin, Muhammad Aiman, Tengku Anuar, Tengku Aizat
Format:	Article
Language:	en en
Published:	Taylor’s University 2025
Subjects:	AI Indexes (General) T54 Industrial safety
Online Access:	http://irep.iium.edu.my/122816/7/122816_%20Cross-domain%20analysis%20of%20YOLOv8.pdf http://irep.iium.edu.my/122816/8/122816_%20Cross-domain%20analysis%20of%20YOLOv8_Scopus.pdf http://irep.iium.edu.my/122816/ https://jestec.taylors.edu.my/Vol%2020%20Issue%201%20February%202025/20_1_11.pdf
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