Dear @colesbury & @bartolsthoorn
I have an extremely large-scale multi-label data set (with about 12M images and 11K labels). Would you please kindly, guide me what is the best way to represent each sample with its corresponding labels? (with the best Multi-GPU utilization and data loading efficiency)
Thank you