Plastic Waste Over the Ocean: An Approach to Surface Recognition

To address the challenges of low detection accuracy and slow recognition of floating objects on water surfaces, an enhanced YOLOv5 algorithm has been developed. This improved algorithm incorporates a coordinate attention mechanism to enhance spatial recognition and employs the GIOU loss function with updated anchor matching for quicker decision-making. The new method achieved a 97.39% mAP, marking a 15.28% improvement over the original YOLOv5, demonstrating its effectiveness.

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Publication Details

Published
2024-11-18
DOI
https://doi.org/10.1109/icecs61496.2024.10849157
Citations
2
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
0.27
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article

Plastic Waste Over the Ocean: An Approach to Surface Recognition

Nazila Fough, Faisal Mehmood Shah, Yafan Zhao, Faranak Fough et al.
2 citations
Microplastics and Plastic Pollution
0.27
article

Plastic Waste Over the Ocean: An Approach to Surface Recognition

Nazila Fough, Faisal Mehmood Shah, Yafan Zhao, Faranak Fough, Zohaib Mehmood Shah
article en
2 citations

Abstract

To address the challenges of low detection accuracy and slow recognition of floating objects on water surfaces, an enhanced YOLOv5 algorithm has been developed. This improved algorithm incorporates a coordinate attention mechanism to enhance spatial recognition and employs the GIOU loss function with updated anchor matching for quicker decision-making. The new method achieved a 97.39% mAP, marking a 15.28% improvement over the original YOLOv5, demonstrating its effectiveness.

Robert Gordon University (GB), National University of Sciences and Technology (PK)
Openalex Percentile: Top 51%
Microplastics and Plastic Pollution
0.27
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Plastic Waste Over the Ocean: An Approach to Surface Recognition — Nazila Fough, Faisal Mehmood Shah, et al. · (2024) | TGRS Research Map | TGRS