German Traffic Sign Benchmark (GTSB)

该数据集是一个真实世界的数据集，用于训练和评估深度径向基函数网络在检测异常方面的性能。此外，该数据集还用于评估数据投毒攻击的影响。其所涉及的任务包括交通标志识别中的分类和异常检测。

This dataset is a real-world dataset utilized for training and evaluating the performance of deep radial basis function networks in anomaly detection. Additionally, it is also employed to assess the impact of data poisoning attacks. The tasks involved include classification and anomaly detection in traffic sign recognition.