Web Reference: We now have the resources to answer the fundamental scientific question that was asked at the beginning of this error analysis discussion: “Does my result agree with a theoretical prediction or results from other experiments?” To address these challenges, we introduce VibE, a semantic error analysis workflow designed to identify where and why computer vision and machine learning (CVML) models fail at the subgroup level, even when labels or annotations are unavailable. Apr 17, 2023 · A step-by-step error analysis for a classification problem, including data analysis and recommendations.
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