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PEKAT VISION software offers training of models using both Supervised and Unsupervised methods. Detailed modules information can be found within the article /wiki/spaces/KB3141/pages/533528878 Modules.
The Unsupervised module available is /wiki/spaces/KB3141/pages/533529141 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:
/wiki/spaces/KB3141/pages/533529141
/wiki/spaces/KB3141/pages/533529197
/wiki/spaces/KB3141/pages/533529217
/wiki/spaces/KB3141/pages/533529284
/wiki/spaces/KB3141/pages/533529386Anomaly Detector
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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The Training begins after clicking on the Start Training button, from that point a dialog window will display a training chart only for the following modules:
/wiki/spaces/KB3141/pages/533529197
/wiki/spaces/KB3141/pages/533529217
/wiki/spaces/KB3141/pages/533529284 Classifier
Based on the chart displayed, its graph gives you an indication of the ideal moment to stop the training.
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As described above, for both functions, the number of epochs is determined before training starts, therefore loss function graph is not available.
For the /wiki/spaces/KB3141/pages/533529386 OCR module, the number of epochs is also set before starting the training.
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Extend model function is only available for the modules /wiki/spaces/KB3141/pages/533529197, /wiki/spaces/KB3141/pages/533529217, and /wiki/spaces/KB3141/pages/533529386 Classifier, Detector, and OCR.
This function allows you to perform further training on an already-trained model.
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To delete the trained model click the trash icon on the right or use CTRL for selecting the model and then click the DELETE SELECTED button.
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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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