Classification_with_Cleanlab is an open source image classification toolbox using Cleanlab based on PyTorch. The toolbox efficiently utilize Cleanlan to learn with noisy labels and finding label errors in datasets.
While the clean lab claims to handle the multi-label classification. we have yet to see any implementation example of it. This repository gives an excellent starting point for many working with noisy labels. Is there an example planned for multi-label classification? or can you guide to the right direction? Thanks a lot.