retrieval map=1

[appleleaves]

I made a mistake, setting and the descriptors a same value, and get an mAP=1 in the retrieval task, using Python code.
I wonder why?
It must be a big bug!

[lenck]

Sorry, I don't understand exactly what is the problem. Yes, if you use the dataset or benchmark incorrectly (e.g. in some way employing ground truth by setting equal descriptors for example), of course you can get a higher performance. For the sake of simplicity the provided data is not randomised so it is not robust against these sort of mistakes.

[appleleaves]

what I mean is that, when you work with the retrieval task, and set all the descriptors to ones. Therefore, the descriptors are useless, because all the descriptors are all the same, no matter if they are similar or not.

Then I check test the performance of these useless descriptors. The retrieval mAP is 1.0, while the matching and verification task mAP are 0.

Therefore, I believe there are mistakes in your retrieval code, but I could not fix it.

I do not need to employ ground truth. And I think it is a bug needed to fix.