An integration of ensemble deep learning with hybrid optimization approaches for effective underwater object detection and classification model

An integration of ensemble deep learning with hybrid optimization approaches for effective underwater object detection and classification model

Abstract Underwater object detection (UOD) is essential in maritime environmental study and underwater species protection. The development of associated technology holds real-world importance. While current object recognition methods have attained an outstanding performance on terrestrial, they are...

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Bibliographic Details
Main Authors: G. Abirami, S. Nagadevi, J. D. Dorathi Jayaseeli, T. Prabhakara Rao, R S M Lakshmi Patibandla, Rajanikanth Aluvalu, K Srihari
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Underwater object detection
Ensemble deep learning
CLAHE
Siberian tiger optimization
Attention mechanism
YOLOv9
Online Access:https://doi.org/10.1038/s41598-025-95596-5
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https://doi.org/10.1038/s41598-025-95596-5

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