ANIMAL

该数据集包含了一系列现实世界中的噪声图像，用于展示所提出的新型BLRM算法的有效性。在全面的实验中，该数据集被用来证明BLRM在修复噪声标签方面的能力。其所涉及的任务是图像分类。

This dataset consists of a series of real-world noisy images, which is employed to demonstrate the effectiveness of the proposed novel BLRM algorithm. In comprehensive experiments, this dataset is utilized to validate the capability of BLRM in correcting noisy labels. The task involved in this dataset is image classification.