基于卷积神经网络的交通标志识别模型，通过TensorFlow构建LeNet-5模型，并使用GTSRB德国交通标志数据集进行训练，所划分的测试集最终准确度超过98%，原数据集自带的测试数据准确度超过95%,实现了较好的交通标志识别模型。
☆11Jun 26, 2022Updated 4 years ago
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