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Please note the chart is not available for the Module /wiki/spaces/KB3141/pages/533529141 Anomaly Detector, since by default we have the following:
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For a detailed explanation regarding augmentation, visit the article /wiki/spaces/KB3141/pages/533463892 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 Change button and then clicking on the Preview button desired model to check the model’s results, as shown in the picture pictures 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
At first, we recommend running different models in Fast Training mode, using different sizes of view-finder and training parameters (brightness resistance, resistance to deviation, etc.) to find out what combination works best in your case. When you find suitable settings, but you would like to achieve even more precise results, you may try Deep Training mode, with more training cycles, however, using the same training parameters (settings).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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