NUS-WIDE (Web)

该数据集名为NUS-WIDE（网络版），旨在用于多标签表示学习，包含了众多类别及其相关的图片。此外，该数据集还用于评估在噪声加权自监督学习设置下，CAPro的鲁棒性。其所涉及的任务是多项标签表示学习。

This dataset, named NUS-WIDE (Web Edition), is designed for multi-label representation learning and contains numerous categories and their associated images. Additionally, this dataset is also used to evaluate the robustness of CAPro under the noise-weighted self-supervised learning setting. The core task involved in this dataset is multi-label representation learning.