Keep these 6 important features of data annotation tools in mind to find the right fit for your AI and machine learning project.
Data Annotation Tools

One emerging feature is automation, also known as pre-annotation or auto labeling. This article will focus on some of its benefits and drawbacks.

Your choices about tooling and workforce will be important factors in your success as you design, test, validate, and deploy any ML model.

Cloud workforce solutions and integrations with leading data labeling platforms support higher quality training data for machine learning.

In our new white paper, we explore AI trends, the importance of choosing the right tools, and how to strategically deploy people in your tech-and-human stack.