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YOLOv8 for Real-Time Vehicle Detection by Sandeep N is a document available to read on EtoBox.

What is YOLOv8 for Real-Time Vehicle Detection about?

This research paper presents a real-time image segmentation and object tracking system for autonomous vehicles, utilizing the YOLOv8 algorithm to enhance vehicle detection and sign recognition. The proposed system integrates various functionalities to improve the safety and autonomy of self-driving cars in complex environments. The methodology includes data collection, model training, and performance evaluation using metrics such as accuracy, precision, and recall.

Author

Sandeep N

Language

EN