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My current data set is only marked with head bounding boxes. Can I take the center point of the head bounding box as the training set for your model? Consider this scenario:Bounding box A is partially covered by bounding box B. When the center point of bounding box A is taken, the center point is likely to fall on the head of the person inside bounding box B. Does this affect the training?
I look forward to your reply. Thank you
The text was updated successfully, but these errors were encountered:
I think there will be a redundant annotation of the outer head. Because the net fits on head only, the hidden head couldn' t be the training samples. However, if this hidden head can be predicted depends on the robustness of the net.
My current data set is only marked with head bounding boxes. Can I take the center point of the head bounding box as the training set for your model? Consider this scenario:Bounding box A is partially covered by bounding box B. When the center point of bounding box A is taken, the center point is likely to fall on the head of the person inside bounding box B. Does this affect the training?
I look forward to your reply. Thank you
The text was updated successfully, but these errors were encountered: