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The ideas and methodologies implemented in this project are inspired by YOLO (You Only Look Once) version 8, a state-of-the-art object detection model known for its speed and accuracy. The system leverages YOLOv8 to detect and classify objects on the road

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kiritoInd/Autonomous-Driving-Object-Detection

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Autonomous Driving System

Welcome to the Autonomous Driving System project! This repository contains the codebase for an autonomous vehicle system designed to detect and respond to road conditions, objects, and traffic signs using machine learning and computer vision technologies.

Final ouput

pred_video_compressed2.mp4

Input

road_video_compressed2.mp4

Acknowledgments

The ideas presented in this notebook came primarily from the two YOLO papers. The implementation here also took significant inspiration and used many components from Allan Zelener's GitHub repository. The pre-trained weights used in this exercise came from the official YOLO website.

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The ideas and methodologies implemented in this project are inspired by YOLO (You Only Look Once) version 8, a state-of-the-art object detection model known for its speed and accuracy. The system leverages YOLOv8 to detect and classify objects on the road

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