Face Detection - find relevant face [closed]

asked 2018-07-25 17:06:05 -0500

holger gravatar image

updated 2018-07-25 17:07:18 -0500


Disclaimer: This is not about identity finding - we dicussed that very long and successfull("Facenet", "Siamese Networks") here on open cv.

I am currently importing and processing(creating embeddings) images of popular persons. Some of these popular persons i am interested in are not the only person in the image(some crowd for a wrestler image for example) and my face detector gets multiple detections.

Its a bit sad - i dont want to skip these pictures. Hmm what can i do to get the right? Some trivial thoughts:

  • pick biggest bounding box
  • pick bounding box with highest confidence

I could also combine these two things and maybe thats already enough? Any thoughts / hints on this?

Thank you a lot + Greetings, Holger

edit retag flag offensive reopen merge delete

Closed for the following reason question is not relevant or outdated by holger
close date 2018-07-25 17:30:08.348789


I guess i will have to review the "failed" pictures anyway. I could generate some suggestion for bounding boxes with the points from above. And then i can explicitly pick suggestion or set bounding boxes (with my annotation tool)

Well nothing is perfect - feeling a bit stupid now. Closing the question.

holger gravatar imageholger ( 2018-07-25 17:29:06 -0500 )edit