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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 Modules.
The Unsupervised module available is Anomaly Detector,where the only required end-user input is to assign at least 10 30% of the images to OK class.
The remaining modules are supervised, where the end-user is required to perform detailed annotations, however, the results are extremely accurate.
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The Training mode for PEKAT is available for the following AI Modules:
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 Start Training button, from that point a dialog window will display a training chart only for the following modules:
Based on the chart displayed, its graph gives you an indication of the ideal moment to stop the training.
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Please note the chart is not available for the Module Anomaly Detector, since by default we have the following:
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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 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 Classifier, Detector, and OCR.
This function allows you to perform further training on an already-trained model.
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Extend Model for Classifier Module
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Extend Model for OCR Module
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Augmentation
For a detailed explanation regarding augmentation, visit the article 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 radio button and then clicking the Preview button to check the model’s results, as shown in the picture below. When a model is selected, the statistics will then be based on the selected model.
It is also possible to select multiple models by pressing CTRL and clicking on the models you want to select.
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Fast Training Mode & Deep Learning Mode
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