Simplest approach image classification approach. • r/MachineLearning

I'm working on a PoC of some system and part of the project is to classify images. Let's say there are many (hundreds) "tags" and for each tag there is a hundred of images. Each image is produced as a result of some technological process and looks like set of lines and dots. What would be the simplest way to "learn" the existing images such that for a new image/tag pair I could be able to tell whether it matches the classification. Is there a ready to use library or solution for such a problem?