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Hello, I would like to ask about the structure of the Real-IAD dataset, what specific images correspond to the 'OK' and 'NG' folders under each category? What do the 'AK', 'HS', 'PS', and other folders in the 'NG' folder represent? Why are these classifications made?
The text was updated successfully, but these errors were encountered:
OK represents normal images, while NG represents anomalous images. AK, HS, PS, and others correspond to specific defect types. For more details, please refer to the descriptions in the paper.
Hello, I would like to ask about the structure of the Real-IAD dataset, what specific images correspond to the 'OK' and 'NG' folders under each category? What do the 'AK', 'HS', 'PS', and other folders in the 'NG' folder represent? Why are these classifications made?
The text was updated successfully, but these errors were encountered: