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Multiclass classification model for the recognition of 21 different road signs used in autonomous car systems using pytorch.

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road-sings-recogniton

Multiclass classification model for the recognition of 21 different road signs used in autonomous car systems using pytorch. To run this code, clone the repository and open the file Road_signs_recognition.ipynb on a jupyter notebook server. Then scroll down and read the section Documentation where you will find all the neccessary informations.

Results: 96% of accuracy on test set.

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Multiclass classification model for the recognition of 21 different road signs used in autonomous car systems using pytorch.

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