Can anyone provide any general guidance on how small of an object
should be labeled? Should the “size” parameter be a function of
percentage of square pixels to the whole image size? Would a too
small of a labeled object be detrimental to the model’s performance if
it is too small? I envision if an object is too small, there is not
sufficient detail in the boxed object to properly train the model and
be counter productive. Is this correct?
Additionally, is it detrimental to the model’s performance if the
bounding box for an isolated labeled object is larger than the object
itself? When is over sized too large?