german-traffic-signs
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I utilized deep neural networks and convolutional neural networks to classify traffic signs. I trained and validated a model so it can classify traffic sign images using the German Traffic Sign Dataset.
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Apr 26, 2021 - Python
Solving German Traffic Signs Classification problem with VGG model
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Dec 20, 2018 - Jupyter Notebook
German-Traffic-Sign-Classification
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Apr 16, 2021 - Jupyter Notebook
Self-Driving Nano Degree Program : Traffic Sign Recognition
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Apr 21, 2017 - Jupyter Notebook
Classification of German traffic signs using deep neural network. Lenet is used as model to train on data set provided by Udacity. The result comprises prediction on downloaded traffic sign images.
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Apr 3, 2018 - HTML
Traffic sign recognition project of Udacity Self-driving car nano degree
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Mar 5, 2021 - HTML
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May 2, 2020 - HTML
Traffic Sign classifier based on TensorFLow
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Jun 16, 2020 - Jupyter Notebook
building a classifier to recognize traffic signs using deep neural networks and convolutional neural networks.
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Aug 7, 2019 - HTML
Third Project in the Udacity Self-Driving Car Nanodegree where Deep Neural Networks and Convolutional Neural Networks are used to classify traffic signs.
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Jun 24, 2021 - Jupyter Notebook
From traffic sign database downloaded from https://www.kaggle.com/datasets/meowmeowmeowmeowmeow/gtsrb-german-traffic-sign It is produced using a CNN based on resnet and pytorch, a model to recognize traffic signs previously detected using the model produced at https://github.com/ablanco1950/DetectTrafficSign
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Aug 30, 2024 - Python
Convolutional Neural Net to Classify Traffic Signs
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May 28, 2018 - Jupyter Notebook
Build a Traffic Sign Recognition Program
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Jan 28, 2018 - Jupyter Notebook
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