SBL Insights
The blog
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The Real QA Problem in Retail Computer Vision Annotation
Retail vision models do not break only on bad models. They break on taxonomy drift, label ambiguity and weak reviewer loops.
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Taxonomy Drift Is a Data Governance Problem, Not a Labelling One
When the label set changes faster than the guideline, every downstream metric quietly stops meaning what it used to mean.
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Annotation Guidelines Are a Product, Not a Document
Guidelines that are written once and never revised become folklore. The reviewer loop is what keeps them true.