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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    Titel :

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


    Erscheinungsdatum :

    2023


    Medientyp :

    Forschungsdaten


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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