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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
Classify traffic signs by three classic ConvNets architecture using GTSRB dataset.
German Traffic Sign Recognition Benchmark (GTSRB) AlexNet pycaffe model. http://benchmark.ini.rub.de/
TensorFlow Lite classification model for German Traffic Sign Benchmarks dataset, built on top of MobileNet v1
Traffic Sign Detection 🇩🇪 Praktische Implementierung einer Verkehrszeichenerkennung mit OpenCV und Tensorflow im Rahmen einer Studienarbeit.
Detect traffic sign and recognize them using Image Processing algorithms and Machine Learning(Random Forest)
GTSRB (Traffic sign), MNIST, CIFAR image classification and other good starting point
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 ?
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.
Robust Transformer with Locality Inductive Bias and Feature Normalization (JESTECH 2023)
Generating synthetic traffic sign datasets
Building autonomous vehicles from the ground up!
Classify traffic signs by using the AlexNet and GoogLeNet architecture using GTSRB dataset and comparing the two
A CNN model to classify German traffic signs
Detect and Analyze Trojan attacks on deep neural networks that are designed to be difficult to detect.
Training a VGG16 Network to Classify Traffic Signs using the German Traffic Sign Recognition Benchmark (GTSRB)
Traffic sign classifier trained using fastai and deployed to Android using PyTorch Mobile
Open source neural network solutions for the GTSRB challenge
Part of my Master Thesis in Autonomous Driving.
Notebook and model for German Traffic Sign Recognition Benchmark (GTSRB) Dataset. The notebook contains an extensive EDA for the dataset and trains a CNN classifier on the benchmark.
Convolutional Neural Networks (CNN) with Computer Vision (CV) for GTSRB Traffic Sign Classification
Comparison of Different CNN Frameworks for image classification. TensorFlow
Traffic Sign Classification (GTSRB dataset) using Random Forest Classifier
Classify Traffic Signs.