Traffic Signals Detector using YOLOv8
Published: 18 September 2024| Version 2 | DOI: 10.17632/g6mnc24f5b.2
Contributors:
, , 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 MexicoMexico DF, Mexico City
Categories
Computer Vision, Object Detection, Convolutional Neural Network, Deep Neural Network, Computer Vision Algorithms, Deep Transfer Learning, Transfer Learning
Funders
- Tecnológico Nacional de MéxicoMexico City, MexicoGrant ID: Consejo Nacional de Humanidades, Ciencias y Tecnologías