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3. [SMART SORTING] - Click on the ‘SMART SORTING’ button, and type what’s the prefix for the
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Tip: It is also possible to select multiple images at once using the ‘Shift’ key and classify them in bulk, by selecting the first image, then holding 'Shift' and selecting the last image from the range. |
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Attention: For 3. [SMART SORTING], please note that if the filename standard is, for instance, ‘testpart_OK52’, you would have to type ‘testpart_OK' - if you type only ‘OK’ as part of the name it won’t classify, as it classifies literally by prefix. Another approach is to check the Regex checkbox which allows you to write regular expressions instead of prefixes - then if you write only ‘OK’ it matches all images which contain ‘OK’ anywhere in their name. |
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Assigning at least 1 image as ‘OK’ already enables you to Start Training, but we usually recommend using at least 20% of OK images for optimal results, depending on the surface variability. |
Feature size
The Feature Size option configures the expected and also allowed size of defect features that the trained model is going to be able to find in an image. This acts as optimalization for training and evaluation.
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