Data annotation may appear simple at first glance, but it’s far more intricate than it seems. Here are the main challenges you face during data annotation projects.

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

The Global Data Annotation and Labelling Market is expected to reach USD 2,072.2 million in 2024 which is further projected to grow up to USD 29,584.2 million by the end of 2033, growing at a CAGR ...

Dataloop, a startup developing data annotation tools for AI and machine learning tasks, has raised $16 million across two funding rounds.

As the backbone of AI growth, data annotation has emerged as a promising profession, with over 90 percent of the workforce in this sector being data annotators.

As AI evolves, data annotation—or the work done by humans to train AI—has emerged as a potential way to make money.

Dataloop, a data annotation and labeling startup, has raised $33 million in a venture capital funding round.

In recent years, the idea of Artificial Intelligence has revolutionized the healthcare scene, and data annotation is at the forefront of this revolution, persistently driving progress in the ...