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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:
https://pekatvision.atlassian.net/wiki/spaces/KB32/pages/934185714/Classifier
https://pekatvision.atlassian.net/wiki/spaces/KB32/pages/934185828/Detector
https://pekatvision.atlassian.net/wiki/spaces/KB32/pages/934185941/Surface+Detection
https://pekatvision.atlassian.net/wiki/spaces/KB32/pages/934186115/OCR
Below you can find a Training Overview Flowchart, which demonstrates the overall training steps. However, for detailed training information about a specific module, please access the desired module’s page.
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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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