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Editorial Team
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Asked: 2026-05-15T23:58:46+00:00

I’am trying to measure the performance of a computer vision program that tries to

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I’am trying to measure the performance of a computer vision program that tries to detect objects in video. I have 3 different versions of the program which have different parameters.
I’ve benchmarked each of this versions and got 3 pairs of (False positives percent, False negative percent).

Now i want to compare the versions with each other and then I wonder if it makes sense to combine false positives and false negatives into a single value and use that to do the comparation. for example, take the equation falsePositives/falseNegatives and see which is smaller.

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  1. Editorial Team

    A couple of other possible solutions:

    -Your false-positive rate (fp) and false-negative rate (fn) may depend on a threshold. If you plot the curve where the y-value is (1-fn), and the x-value is (fp), you’ll be plotting the Receiver-Operator-Characteristic (ROC) curve. The Area Under the ROC Curve (AUC) is one popular measure of quality.

    -AUC can be weighted if there are certain regions of interest

    -Report the Equal-Error Rate. For some threshold, fp=fn. Report this value.

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