Traffic Signals Detector using YOLOv8
Published: 18 September 2024| Version 1 | DOI: 10.17632/g6mnc24f5b.1
Contributors:
Gibran López , 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
Unzip the compressed file. Read Readme.txt file.
Institutions
Tecnologico Nacional de Mexico, Instituto Tecnologico de la Laguna
Categories
Computer Vision, Object Detection, Convolutional Neural Network, Deep Neural Network, Computer Vision Algorithms, Deep Transfer Learning, Transfer Learning
Funding
Tecnológico Nacional de México
Consejo Nacional de Humanidades, Ciencias y Tecnologías