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In anomalib, the threshold is determined in a way that optimizes the F1 score on the validation set, which uses anomaly samples. I wonder, is this still an unsupervised algorithm? Or should I change my definition to semi-supervised?
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In anomalib, the threshold is determined in a way that optimizes the F1 score on the validation set, which uses anomaly samples. I wonder, is this still an unsupervised algorithm? Or should I change my definition to semi-supervised?
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