Annotatorenanzahl
Annotatorenanzahl refers to the number of annotators involved in a data annotation project. This metric is crucial in fields like machine learning and natural language processing, where large datasets need to be labeled by humans to train algorithms. The choice of annotatorenanzahl impacts the quality, consistency, and cost of the annotation process.
A higher annotatorenanzahl can lead to improved data quality and consistency. Multiple annotators labeling the same
Conversely, a lower annotatorenanzahl might be more cost-effective and faster. However, it can also increase the