A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"

Deep leaning for traffic sign classification in keras and python

German Traffic Sign Recognition Benchmark, Keras implementation with Spatial Transformer Networks

Code for the paper entitled "Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods".

Classify traffic signs by three classic ConvNets architecture using GTSRB dataset.

German Traffic Sign Recognition Benchmark (GTSRB) AlexNet pycaffe model. https://benchmark.ini.rub.de/

Traffic Sign Detection 🇩🇪 Praktische Implementierung einer Verkehrszeichenerkennung mit OpenCV und Tensorflow im Rahmen einer Studienarbeit.

TensorFlow Lite classification model for German Traffic Sign Benchmarks dataset, built on top of MobileNet v1

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

The German Traffic Sign Benchmark is a multi-class, single-image classification challenge. Humans are capable of recognizing the large variety of existing road signs with close to 100% correctness.Then what about machines, Can we make them intelligent like humans ?

GTSRB (Traffic sign), MNIST, CIFAR image classification and other good starting point

Robust Transformer with Locality Inductive Bias and Feature Normalization (JESTECH 2023)

Fast and accurate ResNet for the GTSRB dataset

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

Generating synthetic traffic sign datasets

Building autonomous vehicles from the ground up!

Detect and Analyze Trojan attacks on deep neural networks that are designed to be difficult to detect.

Traffic sign classifier trained using fastai and deployed to Android using PyTorch Mobile

A CNN model to classify German traffic signs

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