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b.tech-project-traffic-signal-recognition's Introduction

Traffic-Signal-Recognition

"This is Machine Learning and Data Science Project"

In this project, the knowledge and Idea about deep neural networks and convolution neuronal networks in special was applied to a real-world problem by using the deep learning Framework Keras with TensorFlow as backend. A convolutional neural network was built and then trained to classify german traffic signs. For that purpose, a dataset with over 50000 images was used. Afterwards, the model is tested with different traffic signs images from the web, to see how it performs in the real world.

Data Discription :

The size of training set is 34799 images

The size of the validation set is 4410 images, that are 12.67% of the training set size

The size of test set is 12630 images

The shape of a traffic sign image is 32 x 32 x 3

The number of unique classes/labels in the data set is 43


This Can be your B.tech Project. {Project Guide and Mentor will happily accept this project}

It's fully Python programming Project.

Contact me Now ([email protected]) for Project Code, PPT, Report, Synopsis and Research paper.

Feel free to contact me for any kind of help on projects related to Machine Learning, Data Science, Cryptography, DIP, Web technologies and Cloud.

If you are not able to Understand this Project then Mail me now, I will explain every details and description to you very easily. Happy to help you learn and prosper.

This Project is very easy to Understand, Implement and Interesting !

Lets Join, Learn and Grow together !!!!

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