Is duplicating images which are good representations of the type of thing being classified a good idea?

Say you’re classifying the flowers dataset. Some images aren’t
as good as others. Would duplicating the images that are good
examples of a certain type help propagate the desired features in
the network?

E.g. if I duplicate a close-up of a certain type flower head
within the dataset (say a rose within /roses), would it make the
network more bias towards the duplicates?

I have a handful of ideal examples, and thousands of very
variable examples. I’m unsure what’s the best strategy to be more
biased towards the good examples in my data..