The objective of this project is to build powerful Deep Learning Neural network that can classify the German Traffic Signs with high accuracy.

In this project we made use of TensorFlow

We would also be using transfer learning. The model used is the Xception model.

• Single-image, multi-class classification problem
• 43 classes
• More than 50,000 images in total

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

• Validation accuracy of 98%+ while training model.
• Accuracy of 94%+ on new unseen test dataset.

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