Traffic Sign Classification
his project presents a comparative analysis of six neural network architectures: AlexNet, DenseNet, ResNet50, ResNet101, VGGNet, and a custom CNN model, for traffic sign classification. The primary objective is to identify the architecture that achieves the highest accuracy in this task.
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Posted Jun 21, 2024
This project presents a comparative analysis of 6 neural network architectures: AlexNet, DenseNet, ResNet50, ResNet101, VGGNet, and a custom CNN model.
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