BNaT

该数据集包含了真伪钞票的图像信息特征，如图像的熵或小波变换后的方差等。这些特征旨在帮助识别钞票的真伪，其标签则明确指出每张钞票是真实还是伪造。该数据集的任务是进行二分类。

This dataset contains image-derived informational features for both genuine and counterfeit banknotes, such as image entropy and variance derived from wavelet transform, among others. These features are designed to facilitate banknote authenticity identification, with labels clearly indicating whether each individual banknote is genuine or counterfeit. The task corresponding to this dataset is binary classification.