Computer vision performance summary data

Taking the Wikipedia definition :

Cherry picking, suppressing evidence, or the fallacy of incomplete evidence is the act of pointing to individual cases or data that seem to confirm a particular position while ignoring a significant portion of related and similar cases or data that may contradict that position. Cherry picking may be committed intentionally or unintentionally

I am not accusing you of intentionally cherry-picking. I am just trying to describe the issue with the dataset you have chosen and understand your argument for using it. To me, your responses seemed to be sidestepping the problem.

As the Wikipedia definition describes, by only using research grade observations in your dataset, it: confirms a particular position and ignores a significant portion of other data which may contradict it.

What you do or do not state in your methodology is completely irrelevant.
Whether other people have drawn up better or worse data analysis is also, irrelevant.

But I’ll try to leave it there - I’m probably repeating myself at this point.