Is the real annotation like this? (Including a large number of tiny-bounding boxes)
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qingtianwu commented
Hello, thank you very much for your work.
During the process of checking the training set, I found that the annotations contain many samples with tiny-boxes, and their key point information is lost. Is this reasonable?
Should I filter out these samples with tiny boxes? Since the AP from my trained model is very bad.
jin-s13 commented
These are original annotations, we did not filter out them.