It is really slow for me to load the image-net dataset for training .
I use the official example 726 to train a model on image-net classification 2012. It costs almost time to load the images from disk.
I also tried to use fuel 121 to save all images to an h5 file before training. But it seems still very slow. A min-batch of size 128 costs about 3.6s while 3.2s is used for data loading.
Is there any way to load data faster? Thanks~