GTSRB TRAFFIC SIGN CNN

Convolutional Neural Network model for German Traffic Sign Recognition Benchmark (GTSRB) dataset

Table of Contents

• Installation
• Usage
• References
• License

Installation

Install python version 3.10.13 or above to run model and backend Install necessary machine learning libraries (Tensorflow, SKlearn, OpenCV, Keras, Numpy, Pandas) install node v20.11.0 or above to run frontend

Usage

To run model

go to cd ./model and run the python model.py

make sure to download the GTSRB dataset and add it under /models/dataset

To run Backend

go to cd ./backend/src and run python app.py

sent the image to /predict route as POST method and in form with name "image"

To run Frontend

go to cd ./frontend/traffic-sign-recognition run npm install then run npm start

References

GTSRB - https://www.kaggle.com/datasets/meowmeowmeowmeowmeow/gtsrb-german-traffic-sign/

Model code reference - https://www.kaggle.com/code/suryarajendhran/starter-gtsrb-german-traffic-sign-4f9b7b92-1

License

This project is licensed under the MIT License.

You are free to use this code for open source projects, but it is not intended for use in closed source corporate projects. There is no guarantee or warranty provided with this code.