I would like to analyze / estimate the influence of the architecture on scale invariance in photos.To clarify: It is possible that a network can classify objects well if they are close, but totally fails when they are far away. Although the main object of the photo is still the same. Is there a dataset which is suitable for this task?
Is there an image classification dataset which has objects in varying distances?
dataset;image classification