Adaptiope

该数据集是一个大规模的无监督域自适应（UDA）数据集，包含123个类别，主要关注从合成数据到真实数据转移的任务。它为现代无监督域自适应算法提供了新的挑战，具有大规模的特点，适用于无监督域自适应这一任务。

This is a large-scale Unsupervised Domain Adaptation (UDA) dataset that contains 123 categories and primarily focuses on the task of transferring from synthetic data to real-world data. It poses novel challenges for modern unsupervised domain adaptation algorithms, and its large-scale nature makes it suitable for unsupervised domain adaptation tasks.