/Traffic-Sign-Detection-using-TF-and-OpenCV

Traffic sign detection is a high relevance computer vision problem and is the basis for a lot of applications in industry such as Automotive etc. Traffic signs can provide a wide range of variations between classes in terms of color, shape, and the presence of pictograms or text. In this project, I implemented a deep learning algorithm that will train on German traffic sign images and then check accuracy of the classification and output it. The deep learning model will be built using TensorFlow and we will also understand various ways to pre-process images using OpenCV. Dataset Used :- https://www.kaggle.com/datasets/meowmeowmeowmeowmeow/gtsrb-german-traffic-sign

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