About this document
YOLOv8 Pedestrian Detection in Low Light by mailtochipmatrix is a document available to read on EtoBox.
This document presents a pedestrian detection framework utilizing the YOLOv8 algorithm, which outperforms the Single Shot Multibox Detector (SSMD) in low light and dense crowd scenarios. The proposed system achieves a 98% accuracy rate and incorporates advanced object tracking techniques for real-time detection and classification. The advantages include reduced classification complexity, higher precision, and improved overall performance.
- Author
- mailtochipmatrix
- Language
- EN