[Q] looking for statistical term and formula for stated problem-story.

I'm looking for the statistical term or formula for this: it is related to the recall of .79 of an AI algorithm that detects objects in the field, based on aerial photo.

Story:

Imagine I've 100 objects in the field. Per time I take a look in the field, I detect 79 objects. And I miss 21. How many times do I have to take a look in the field to detect all 100 independent objects? When I take a second, ... N, look I can detect an object I already knew it was there.

Now the other way around. I know there are N objects. My 'recall' is 0.79. So when I detect 1.370 objects the first time. Is it okay to say that the totall number of objects in the field are: 1.370 / 0.79 = 1.734?
Then how many itterations does it takes to detect all 1.734 independent objects with a recall of 79%?

my solution:
I wrote a little python script which calculates 4 itterations by 100 objects and 6 itterations by 1.734 objects. I think that is plausible.
But how do I write it in a statistical-formula or how do you call something like this in statistical terms?