SEF Vision - houtopdruk inspectie 2ToolAnalyze Clone Clone Clone
132 samples, 58 trainedDate21-3-2017

Distribution

ROC

Predicted
GoodInterBadTotal
ActualGood11600116
Bad001616

Distribution

Shows the normalized distribution of the deviation for bad and good images. Ideally, theses two curves should not be crossing. The green line represents the threshold below which a piece will be considered as good. On the opposite the red line represents the threshold above which a piece will be considered as bad. In between those lines is a grey zone, in which the pieces will be considered as intermediate

ROC (Receiver Operating Characteristic)

Shows the separation of the classes for all possible thresholds. One can take a point on the blue line and read the corresponding true positive on the left of the graph (a defected view where the system found a defect, ideally 100%); and false positive rate on the bottom of the graph (a non defected view where the system found a defect, ideally 0%). The AUC (Area Under Curve) value summaries this curve whereas the maximum of 1.00 corresponds to a perfect classifier.
∅ processing time 61,1 ± 4,6 msec

(move the mouse over the marking to get detailed info, click on the images to hide/show the marking)

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