This depends on how well those 10 images are representing the disribution of data for your actual task. With only 10 samples thats highly unlikely. What you ar

This depends on how well those 10 images are representing the disribution of data for your actual task. With only 10 samples thats highly unlikely. What you are talking about is data augmentation, a strategy we can use to expand our training dataset synthetically, mostly in a bid to prevent over-fitting.