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Don't get me wrong. I totally get it. But my professor is saying:

"So this is precision? 0 to 1? 1 being totally accurate? And you got 96.5? I assume it is percentage?"




It says "mAP result values on the WIDERFACE validation dataset:"

If your professor is working in on object detection they know what mAP is - all the major datasets use it as their standard evaluation criteria.


So is it mAP of 0.956 or 95.6? Why not 956?


Not to be rude, but if you can't work that out you shouldn't be working on this. I'm sure the author would take a pull request, but but it really sounds like you are nitpicking.

Figures like precision and recall are often expressed either as 66% or 0.66. Confusion really isn't that big a problem.


Not rude at all because I am totally nitpicking.

If you would write mAP: 0.9 or mAP (%): 90 or similar my "professor" would be OK with that.

I guess general rule in science (or maybe engineering) is to define units. I have no doubt that e.g. when you are building rockets (or maybe model airplanes) you would know that e.g. velocity is in m/s. Until somebody thinks in some other way and things blow up.

I just wanted to make some fun comment about missing units and that is it. I have no doubt that anybody browsing that repo would not be confused about mAP being 95.6.




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