QMNIST

该数据集是对MNIST数据集的扩展，包含了额外的5万张图片，这些图片被用作训练过程中的保留集。此外，该数据集也被用于提高训练效率。规模上，它包含了6万张图片（其中5万张为额外添加的）。其任务是对图像进行分类。

This dataset is an extension of the MNIST dataset, containing an additional 50,000 images which are used as the held-out set during training. Additionally, this dataset is employed to enhance training efficiency. In terms of scale, it consists of 60,000 images, 50,000 of which are the newly added ones. Its task is image classification.