<p>One possible approach is to treat this as a verification problem instead of multi-classification. That is, train a binary classifier for each person. You can also consult this paper: <a href="https://arxiv.org/abs/1503.03832" rel="nofollow noreferrer">https://arxiv.org/abs/1503.03832</a></p>
classification with large number of classes
<p>Let us say I have a training dataset of 10 million images containing images of 100,000 different people. I want to create an ML model that can identify which person is in a given image.
What would be the best approach considering the huge number of people(classes) ?</p>