Traffic Signals Detector using YOLOv8

Published: 28 April 2026| Version 4 | DOI: 10.17632/g6mnc24f5b.4
Contributors:
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Description

This repository presents the obtained products from the research article "Commissioning of the NVIDIA Jetson AGX Orin module for a traffic signals detector based on YOLO"; this article, among other things, presents a real-time Traffic Signals Detector model trained on the NVIDIA Jetson AGX Orin module using CUDA cores. The proposed TSD is based on a pre-trained YOLOv8m model. Some detections and metrics of the TSD are shown to evaluate its performance.

Files

Steps to reproduce

1) Unzip the compressed file. 2) Read Readme.txt file. ***Note: The obtained TSD model can be found in the "\runs\detect\train13\weights\" directory as "best.pt". 3) If it is only desired to evaluate the model, the "TSD_testing.7z" file may be unzipped in order to run the "TSD_testing.py" script.

Institutions

Categories

Computer Vision, Object Detection, Convolutional Neural Network, Deep Neural Network, Computer Vision Algorithms, Deep Transfer Learning, Transfer Learning

Funders

Licence