Data Labeling (Opportunity Overview)
Data labeling (also called data annotation) involves adding labels to raw data (e.g. images, videos, text files, etc.) to make it easier for machines to understand and learn from. For example, a data labeler may be tasked with viewing and labeling all the fire hydrants in a collection of images. That's just one example, but there are many reasons why data annotators are needed. Labeled data is used for things like machine learning, computer vision, natural language processing, speech recognition, and more.
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