I'm doing research on object detection for aerial images (drone capture from above).
And many datasets I think their ground truth is not perfect (but also buggy), some object obviously but be ignored by annotator while some objects took long time to recognized with guesses is labelled ? But for some reasons (they love publishing), the datasets got a lot of citations and results on boarding blah blah from variety of methods.
In that case, should I do something ? (I'm newbie to academia world and I know nothing much)
Get higher metrics and claim SOTA on something not good is quite confusing in my opinion. And from that, lead to a question that those question is really workable or just a trick only work for those bend ruler ?