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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:
Based on the chart displayed, its graph gives you an indication of the ideal moment to stop the training.
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Extend model function is only available for the modules Classifier, Detector, OCR, Surface Detection.
This function allows you to perform further training on an already-trained model. The option to extend model is only available if you have at least one already trained model (otherwise the option is hidden).
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Extend Model for OCR Module
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Extend Model for Surface Detector Module
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Training data split
By adjusting the training data split you can choose how many of the images you annotated will be used for training and how many will be used for testin (the testing images will be used to calculate statistics that are displayed in the Confusion matrix).
The images are split between training and testing pseudo-randomly. A seed is used to initiate a random number generator that is used to split the images. This means that the same seed results in the same data split.
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The split with the same seed will only be the same with the same image set. If you add or remove images (to the project as a whole, not annotations) then the wplit will be different. |
Augmentation
For a detailed explanation regarding augmentation, visit the article Augmentation Glossary.
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To delete multiple models use CTRL for selecting the models and then click the DELETE SELECTED button.
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Model importing
To import a model click on the IMPORT MODEL button and then find your model (.zip file) in the file system.