Datasaur appears to be a useful tool to manage the operational aspects of data-labeling projects. I am able to get an idea on the progress of the project, coordinate the activity of reviewers, keep an eye on quality metrics, and make sure that all labeling processes comply with necessary structures. By bringing all project details and reviewer activity into one place, it becomes possible to identify any issues and flaws in the workflow. Review collected by and hosted on G2.com.

In order to manage the operational process of data labeling, a lot of efforts still have to be put into defining rules of labeling and reviewing the results. When dealing with projects containing large taxonomies or various kinds of annotations, managing the workflow might become more complicated due to different interpretations of the same data by different reviewers. Review collected by and hosted on G2.com.