Comments (1)
Hi @luliuzee , yes this a known issue. In fact, almost none of the existing anomaly detection algorithms addresses this issue. We are currently working on a solution that wouldn't require any validation or test images to find the threshold in an unsupervised manner. We have some promising results. We'll make it available here once we publish our results.
Meanwhile, what you could do is to choose manual threshold and set it in the config.yaml file. By default, config.yaml file uses adaptive threshold that uses validation/tests sets.
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Related Issues (20)
- [Bug]: mask layer is not being converted correctly in the 103_folder.ipynb example?
- [Bug]: top-level linter settings are deprecated in favour of their counterparts in the `lint` section.
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