Finally, annotations return to Google Analytics. Use them to capture business context, align teams and speed up your analysis ...

Merit is making its Scholars program widely available. It's a team of experts to fine-tune generative AI models for ...

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.

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

“Best Practices for Managing Data Annotation Projects” is a practical guide to the planning, execution & evaluation of annotation used in AI/ML initiatives.

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 ...

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.

The increased implementation of picture data annotation technologies in the automotive, retail, and healthcare industries drives the expansion. North America region emerged as the largest market ...