Recognizing and classifying traffic signs is a challenging task that can significantly improve road safety. However, deep neural networks have achieved impressive results in various applications, including object identification and automatic recognition of traffic signs. In this comparison, we present neural network-based traffic sign detection and recognition frameworks evaluated based on precision, recall, F1-score, and trainable parameters.


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    Title :

    Comparison of Neural Network-Based Traffic Sign Detection and Recognition Frameworks


    Publication date :

    2023


    Type of media :

    Research Data


    Type of material :

    Electronic Resource


    Language :

    English





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