Even though data annotation has long served as a crucial connecting factor for AI-based systems and technologies, the use of automation in this field is still in its infancy. Automatic labeling data, however, holds promising potential for helping annotators deal with massive amounts of raw and unstructured data. By automating minor and repetitive labeling tasks, annotators can focus on edge cases that require human supervision.Read more:
https://www.computertechreviews.com/advantages-of-automation-labeling-process-for-machine-learning/