Detecting marine pollution made simple with YOLOv12: A multi-class approach for real-time debris recognition

Key Points

• Real-time detection of marine pollution effectively identifies various debris types, aiding cleanup efforts.
• Accuracy metrics indicate up to 92% precision in recognizing different plastics and organic waste.
• This analysis employs a computer vision framework, utilizing the YOLOv12 architecture for efficient real-time processing.
• The findings highlight the potential for using advanced recognition algorithms to enhance environmental management efforts.