gtsrb-dataset

alexhagiopol/multiscale-CNN-classifier

Reproduce GTSRB results of classic deep learning papers.

Vicondrus/Roadster

In this project, a traffic sign recognition system, divided into two parts, is presented. The first part is based on classical image processing techniques, for traffic signs extraction out of a video, whereas the second part is based on machine learning, more explicitly, convolutional neural networks, for image labeling.

harsh-99/Traffic-sign-detection

Traffic sign detection and classification

Praveenterax/Traffic-sign-Detection-Recognition-Matlab-RandomForest

Detect traffic sign and recognize them using Image Processing algorithms and Machine Learning(Random Forest)

sonu275981/GTSRB---German-Traffic-Sign-Recognition

GTSRB - German Traffic Sign Recognition

AmeyaWagh/Traffic_sign_classifier

A traffic sign classifier using LeNet for Self driving cars

johpetsc/traffic-sign-recognition

Detection and recognition of traffic signs.

mmoraes-rafael/gtsrb_resnet

Fast and accurate ResNet for the GTSRB dataset

Tom-Haustein/GTSRB_Neural_Network

Dieses Projekt beschäftigt sich mit der Entwicklung eines flachen CNN zur Erkennung von Verkehrsschildern. Das Projekt beinhaltet alle dazu benötigten Programme und Tools.

bornabesic/dl4ad

Deep Learning for Autonomous Driving - Laboratory

djr111/OpenCV_Traffic_Sign_Detection_Arduino_Robot

Road traffic sign recognition and detection with use of OpenCV, ROS and Arduino build up robot

EhsanR47/Traffic-Sign-Classification---GTSRB-dataset

Traffic Sign Classification - GTSRB dataset

junthbasnet/Traffic-Sign-Classification-using-ConvNets

🚸⛔Novel Deep Convolutional Network is proposed for traffic sign classification that achieves outstanding performance on GTSRB surpassing the best human performance of 98.84%.

languephone/AI50-Traffic

An implementation of CS50's AI project using computer vision to determine the type of traffic signs in photos.

cecchilinux/machine_learning

We build a traffic sign classifier with multi-scale Convolutional Networks using Keras

dharayush/Road-Sign-Classification

Classify traffic signs by using the AlexNet and GoogLeNet architecture using GTSRB dataset and comparing the two

m-niemeyer/Traffic-Sign-Classification

A CNN model to classify German traffic signs

schroederbianca/project_1_deep_learning

This project accompanies the lecture deep learning and handles the GTSRB dataset. Neural networks are fooled by the help of popular adversarial attacks.

waniashafqat/Image-Scaling-Attacks-on-Machine-Learning-Algorithms

Image Scaling Attack on German Traffic Sign Recognition Benchmark CNN Model.

esdrascosta/Matrix-Capsules

Matrix Capsules experiment on German Traffic Sign Recognition Benchmark (GTSRB)

fanisspr/traffic-sign-recognition

My thesis code for Traffic Sign Recognition using 2 different datasets (GTSRB and DFG) and different kinds of models (CNN, STN, ViT).

Henvezz95/GTSRB-Classification

Training a Convolutional Neural Network to perform multi-class classification on the German Traffic Sign Recognition Benchmark

jameseoconnor/vgg-traffic-light-detection

Training a VGG16 Network to Classify Traffic Signs using the German Traffic Sign Recognition Benchmark (GTSRB)

MohamedMohy10/The-Sparks-Foundation-Internship-Computer-Vision-IoT

Computer Vision and IoT projects at The Sparks Foundation internship

sreesankar711/TRAFFIC-SIGNAL-CLASSIFICATION-USING-CNN

To implement a CNN model that can detect and recognize traffic signals present in images. Next step is to implement a live dashcam traffic-signal prediction using the model.

alvisxp/GTSRB-classification

traffic sign classification on the german traffic sign recognition benchmark dataset using CNN

rv2442/GTSRB_Mnist_Model

Tensorflow2, working on Mnist and GTSRB

srrtth/GTSRB-DNN-ImageClassifier

This code implements a deep neural network (DNN) model for image classification using the German Traffic Sign Recognition Benchmark (GTSRB) dataset. The goal is to accurately classify traffic sign images into their respective categories.

Annu117/Traffic-Sign-Detection

ansarTheScientist/Traffic-Sign-Detector

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.

drakyanerlanggarizkiwardhana/Traffic-Sign-Classifier

A traffic sign classifier using LeNet for Self driving cars

op1009/ai4av

AI for Autonomous Vehicles

op1009/customCNN

Custom CNN for GTSRB traffic sign detection

SenanS/ML-Sign-Recognition

This project attempts to implement transfer learning by retraining VGG16 network to recognise traffic signs

sonu275981/GTSRB---German-Traffic-Sign-Recognition-App

Use of Deep neural networks and convolutional neural networks to classify German traffic signs. Try this app :- https://trafficsignapp.herokuapp.com/