A Deep Neural Network to do traffic sign recognition

Built and trained a deep neural network to classify traffic signs, using TensorFlow.

traffic sign recognition using CNN

Udacity SDCND Project 2. Deep Learning and Convolutional Neural Networks.

A traffic sign classifier built with TensorFlow

Traffic Sign Recoginition

Proyecto de control de trafico e intercepción de semáforos inteligentes.

Cuộc đua số (2017 -2018) University Round - Detect and Recognize Traffic Signs using OpenCV and Machine Learning

A Deep Learning Traffic Sign Recognition System

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

Udacity Self Driving Car Nanodegree - Traffic Sign Classification

Traffic-sign Detection

Built and trained a deep neural network to classify traffic signs, using TensorFlow. Experimented with different network architectures. Performed image pre-processing and validation to guard against overfitting. The datasets are collected from the German Traffic Sign for training and random traffic signs downloaded from internet for testing.

capsule networks that achieves outstanding performance on the German traffic sign dataset

Traffic sign classification based on German road signs.

This repository contains Traffic Sign Recognition using tenserflow.

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