fMoW

该数据集是用于组织病理学图像分析的，旨在评估在不同条件下适应性能的表现。为了适应性的研究，该数据集还被进一步细分为小型的标签平衡数据集。原始数据集中包含了数千个数据点。研究任务是在目标数据有限的情况下进行域自适应。

This dataset is developed for histopathological image analysis, aiming to assess model adaptation performance across various conditions. To enable rigorous adaptation-related research, this dataset is further subdivided into small-scale label-balanced subsets. The original dataset comprises thousands of data points. The core research task is to perform domain adaptation under the condition of limited target data.