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Research On Vehicle Detection Based On Improved YOLOv8 by Ceresskhr is a document available to read on EtoBox.

What is Research On Vehicle Detection Based On Improved YOLOv8 about?

This document presents an improved vehicle detection method based on the YOLOv8 network, incorporating FasterNet as the backbone, the CBAM attention mechanism, and a modified loss function to enhance detection accuracy and speed. Experimental results indicate significant improvements in detection accuracy for cars, persons, and motorcycles, achieving 98.3%, 89.1%, and 88.4% respectively, along with enhanced performance metrics compared to previous models. Future work aims to address challenges in complex en

Author

Ceresskhr

Language

EN