# How do I get one overall prediction, where each data point has many pictures?

My task is not a simple image -> category. I have between 5 and 10 images of an object, and I must classify it. The problem is that the category isn't "visible" in each picture, so I would need many images -> category.

For instance, let's say I'm trying to classify men vs. women. I have a number of pictures taken from random angles. I need to determine, based on the aggregated score of these pictures, which category the bunch belongs to.

All the pictures contain a little bit of unique information.