lyfesan/brats-artifact-classification

这个数据集包含了图片及其对应的标签信息，图片被分为四类：清洁、有旋转伪影、有垂直伪影和有水平伪影。数据集分为训练集和测试集，训练集有5088个样本，测试集有712个样本。

The dataset consists of images and their corresponding labels, with images categorized into four types: clean, with rotation artifact, with vertical artifact, and with horizontal artifact. The dataset is split into a training set with 5088 examples and a test set with 712 examples.