2 Ways in Which Automatic Data Labeling Saves Time and Costs - DataScienceCentral.com

Data scientists face a problem: machine learning models need to be trained on labeled datasets, but labeling the data is tedious and time-consuming. Enter automatic data labeling, in which most of the preprocessing work is done by a computer. At first glance, automatic data labeling sounds too good to be true. Of course, more automation is typically a good thing regarding efficiency. In many industries, automation has increased productivity and production and has increased the quality of both while keeping them consistent.