Why Using Data Scientists for Data Labeling is a Big Mistake [Infographic]

Your in-house data scientists shouldn't be doing tedious data labeling work for machine learning projects. They should be focusing on more important innovation.

How much might it cost for a data scientist to annotate a one-hour video? If you have a big AI project, all that annotation and labeling could take a long time and cost a lot of money.