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is there a way to implement True Negatives into the confusion matrix?
In my dataset, there are several images, that do not contain any object, that should be detected, and if the model correctly does not detect anything on that image, than I think that would count as a TN, right?
I would assume, this is only viable, if the TP,FP,TN,FN are considered imagewise and not detection wise, what do you think?
Thanks and best regards!
The text was updated successfully, but these errors were encountered:
Hi Altimis,
is there a way to implement True Negatives into the confusion matrix?
In my dataset, there are several images, that do not contain any object, that should be detected, and if the model correctly does not detect anything on that image, than I think that would count as a TN, right?
I would assume, this is only viable, if the TP,FP,TN,FN are considered imagewise and not detection wise, what do you think?
Thanks and best regards!
The text was updated successfully, but these errors were encountered: