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The Unsupervised module available is https://pekatvision.atlassian.net/wiki/x/p4abKQ Anomaly Detector,where the only required end-user input is to assign at least 30% of the images to the OK class.

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The Training mode for PEKAT is available for the following AI Modules:

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For a detailed explanation regarding augmentation, visit the article https://pekatvision.atlassian.net/wiki/x/e4WbKQ. Augmentation Glossary.

Model Validation

After training, the new model is automatically selected and its preview is shown. A different model can be selected from the model list using the Change button and then clicking on the desired model to check the model’s results, as shown in the pictures below. When a model is selected, the statistics will then be based on the selected model.

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Information on the training process and conditions used for a particular model are available by clicking on the info icon in the list of models, as shown in the picture below.

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This is how the information display looks like for the detector module:

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And this is how it looks like for the classifier module:

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To understand the Confusion Matrix evaluation have a look at Confusion Matrix

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