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.
Authors
- Nazila Fough
- Faisal Mehmood Shah (ORCID: https://orcid.org/0000-0002-6588-8106)
- Yafan Zhao (ORCID: https://orcid.org/0000-0002-3238-7567)
- Faranak Fough
- Zohaib Mehmood Shah
Institutions
- Robert Gordon University (GB)
- National University of Sciences and Technology (PK)
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