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A deep learning-powered web application built using Streamlit to classify traffic signs from the German Traffic Sign Recognition Benchmark dataset with high accuracy.

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German Traffic Sign Recognition Benchmark

The German Traffic Sign Benchmark is a multi-class, single-image classification challenge held at the International Joint Conference on Neural Networks (IJCNN) 2011. The benchmark has the following properties:

Single-image, multi-class classification problem More than 40 classes More than 50,000 images in total Large, lifelike database

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https://ecen-gtsrb.streamlit.app/

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A deep learning-powered web application built using Streamlit to classify traffic signs from the German Traffic Sign Recognition Benchmark dataset with high accuracy.

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