Türkiye Trafik İşaretleri Veriseti - Turkish Traffic Sign Dataset
-
Updated
Jun 11, 2024 - Python
Türkiye Trafik İşaretleri Veriseti - Turkish Traffic Sign Dataset
Traffic sign detection and recognition using YOLO 93.2% Accuracy
Deep Learning project that uses yolov5 to detect and classify traffic signals in videos.
Identifying traffic signs in real time using YOLO for autonomous self driving car
Workflow for Executing CNN Networks on Zynq Ultrascale+ with VITIS AI. Detailed analysis, configuration, and execution of Convolutional Neural Networks on ZCU102 using VITIS AI, evaluating performance on the board compared to Cloud infrastructure. Developed for educational exam purposes.
Workflow for executing CNN Networks on Zynq Ultrascale+ with Vitis AI toolchain. Detailed analysis, configuration and execution of Convolutional Neural Networks on ZCU102 using Vitis AI, evaluating performance on the board compared to Cloud infrastructure (eg. Kaggle). Developed for educational exam purposes.
This repository is for German Traffic Sign Detection using Ultralytics YOLOv8
This code implements a CNN using TensorFlow for German traffic sign classification with the GTSRB dataset. It preprocesses data, builds the model, trains it, evaluates accuracy, and generates a confusion matrix for performance analysis.
Autonomous Vehicle Risk Management Profile for Traffic Sign Recognition based on NIST AI RMF.
This Python-based project features an intuitive graphical user interface (GUI) facilitating image uploads for the identification of essential road signs prevalent on streets, including 20kmph, 30kmph, 50kmph, stop, and right turn signs.
Repository to store shared code and notebooks with experiments
Our project focuses on developing a traffic sign detection model using the YOLO framework.
Using lenet for Traffic Sign Recognition
Traffic signs detection and classification in real time
This project is a multi-class, single-image classification to recognize traffic signs images using Convolutional Neural Networks (CNN).
A basic warning system for driver to assist him regarding the traffic signs and introduces negative reward system also
Convolution Neural Network model to recognize traffic signs by processing the images that containing traffic signs.
PBL project for SE
Traffic Sign Recognition Project for my Internship on Prime Layer
A deep learning model has been developed especially for self-driving cars like Tesla, which uses complete automatic support to drive the vehicle to recognizes traffic signs and follow them properly
Add a description, image, and links to the traffic-sign-recognition topic page so that developers can more easily learn about it.
To associate your repository with the traffic-sign-recognition topic, visit your repo's landing page and select "manage topics."