In this guest post, Superb AI discusses the importance of manual annotation or the direct involvement of human labelers and shares 4 great tips on how to write better annotation guidelines for human labelers. Let’s dive in! It goes without saying, that the quality of data used to train ML models is a primary determinant for how well they’ll ultimately perform, namely, how accurate they will or won’t be in carrying out their intended function. Acknowledging that significant factor – it’s no surprise that in recent years, ML dev teams are recognizing the need to optimize data labeling processes.
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📝 Guest post: How to Write Better Annotation…
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In this guest post, Superb AI discusses the importance of manual annotation or the direct involvement of human labelers and shares 4 great tips on how to write better annotation guidelines for human labelers. Let’s dive in! It goes without saying, that the quality of data used to train ML models is a primary determinant for how well they’ll ultimately perform, namely, how accurate they will or won’t be in carrying out their intended function. Acknowledging that significant factor – it’s no surprise that in recent years, ML dev teams are recognizing the need to optimize data labeling processes.