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Classifies traffic Sign from 43 different classes.

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Traffic Sign Classifier

The Traffic Sign Classifier is a Convolution deeplearning model that classifies 43 classes of Traffic Signs. A Traffic Sign Classifier is very popularly used in self driving cars for its effectiveness in preventing road accidents.

Code is used to preprocess, Train and model Evaluation.

DATASET: The Dataset used is German Traffic Sign Benchmarks(GTSRB) and can be downloaded from the link below

link: GTSRB

Result: The Model accuracy is 97%.

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Classifies traffic Sign from 43 different classes.

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Python 100.0%