Solid annotation guidelines are an essential requirement for producing good training data. These guidelines distinguish correct from incorrect results, define the task and ensure that the annotation process is reliable and repeatable for independent human annotators.
What are the top three barriers to better machine learning models? Annotating data, annotating data, and annotating data. Okay, so it’s not that simple, but producing quality training data to produce accurate models takes up the lion’s share of human labor and time in the entire process. This includes collecting and cleaning data, making sure […]