Classification of large numbers of classes.

I am working on a problem that requires the classification of more than 80k classes. I have around 1k to 1.5k images per class. I am using synthetic data for training and want to evaluate it on real data. I have enough computing power but want to keep it computationally efficient and highly accurate (the tradeoff can be further adjusted).

Currently, I am looking for papers in this direction. All papers mostly work with ImageNet 1k. I have a few …

class classification computing computing power data deeplearning images numbers per power real data synthetic synthetic data training