ML-ASSISTED DATA-ANNOTATION

ML-ASSISTED DATA-ANNOTATION

As AI applications increase in number and scope, the need for mass amounts of high-quality training data is rising. This poses a number of challenges, from scalability to flexibility to speed. Collaboration between humans and machines is the solution. By integrating machine learning models and automation tools into the annotation process and balancing them with the context and judgment that human annotators bring to the table — companies can achieve outstanding results.

What you’ll find:

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