Cdiscount Image Classification Challenge on kaggle.com
Some scripts which I used when competing in this challenge on kaggle. The dataset contained ~10x more images than ILSVRC. I tried using multiple architectures: vgg16, xception, resnext. I trained models on images resized to 80x80 because I didn't have enough computational power to train networks full-sized images.
I finished ranked top 33%.