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Detector confusion matrix
The detector confusion matrix works much like the classifier confusion matrix but it has one extra misdetections - when the model detects defect when there is none in annotations. If the classification is turned off, the confusion matrix is like matrix with one unnamed class.
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For more details on how the confusion matrix works you can read the module confusion matrix section.
Surface Detector confusion matrix
Again, the Surface Detector confusion matrix can be accessed by clicking on the “CONFUSION MATRIX“ button:
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It looks like this and works just like detector confusion matrix, except that surface detector doesn’t provide the “RECALC MATRIX” function:
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OCR confusion matrix
OCR confusion matrix is very dofferent from the rest of the modules. First, it’s accessed by clicking on the “MODEL STATISTICS” button:
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Second, it is more of a table than a matrix, with each row being for one type of annotated text and it has three columns:
Detection column - shows the text that is supposed to be detected (annotated by user)
OK column - shows how many times was the text detected correctly
NG column - shows how many times the text wasn’t detected correctly
| Info |
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By clicking on a number under either the OK or the NG column, the images with those annotation will be filtered in the image list on the right side of the screen |
| Note |
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OCR modul doesn’t have the recalculate matrix functionality |
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