Ask HN: How to handle no detection in Deep Learning?

Hello dear friends,

I try to develop a Deep Learning Model for my PhD Work that detect a set of objects. And I heavily struggle on one point. How do you handle the fact that none of the "known objects" is detected ? I mean even if I input a black or white image, I still have an output such as "ObjectX: xx%". How to change it for a blank result or "no detection".

I obviously can't input millions of situations where there is no object on the image with the label "no image".

I hope my explanation will be clear.

Best regards and thansk for the help.