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#

german-traffic-sign-classifier

Here are 26 public repositories matching this topic...

In this project, I used Python and TensorFlow to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 50,000 images of 43 classes. I was able to reach a +99% validation accuracy, and a 97.3% testing accuracy.

  • UpdatedDec 3, 2019
  • HTML

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

  • UpdatedOct 21, 2019
  • Python

Detect The German Traffic Sign Using YoloV5

  • UpdatedSep 9, 2024
  • Jupyter Notebook

German Traffic Sign Classification Project for Self-Driving Car Nano Degree Term 1. A CNN is designed and trained to detect the traffic signs using the German Traffic Sign Dataset. The system is also tested on German traffic signs to measure its performance.

  • UpdatedMay 9, 2020
  • HTML

Recognizing Traffic signs from GTSRB dataset ||:red_circle:||:small_red_triangle:||:small_red_triangle_down:||

  • UpdatedDec 14, 2019
  • Python

This is a Classifier Algorithm that can classify German Traffic-Signs. It uses the good old convolution network inspired by the Nvidia Model used in their self-driving car.

  • UpdatedApr 3, 2018
  • Jupyter Notebook

Traffic Sign Classifier using Deep Neural Networks and CNN.

  • UpdatedMar 10, 2017
  • HTML

Ford Otosan Internship Project 2021 || Traffic Sign Detection and Recognition.

  • UpdatedOct 21, 2021
  • Jupyter Notebook

German-Traffic-Sign-Classification

  • UpdatedApr 16, 2021
  • Jupyter Notebook

Traffic Sign Classifier using the German Traffic Sign Dataset

  • UpdatedNov 7, 2019
  • HTML

German Traffic Signs Classification

  • UpdatedMay 2, 2020
  • Jupyter Notebook

Predicting the class of traffic signs from the german traffic sign dataset with TensorFlow

  • UpdatedApr 1, 2017
  • HTML

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