Unsupervised defect detection methods have garnered substantial attention in industrial defect detection owing to their capacity to circumvent complex fault sample collection. However. these models grapple with establishing a robust boundary between normal and abnormal conditions in intricate scenarios. leading to a heightened frequency of false-positive predictions. https://www.roneverhart.com/Clos-Pegase-Cabernet-Sauvignon-Hommage-Tenma-Vineyard-Napa-Valley-2014/