Add Yahoo as a preferred source to see more of our stories on Google. As companies have rushed to build AI models, the demand for “data annotation” and “data labeling” work has increased. Workers ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Different projects require different workflows. In data annotation platforms, flexible workflows help manage quality, speed, and complexity. Rigid workflows can lead to delays and errors, especially ...

Selecting a data annotation company is as much a business decision as it is a technical one. The wrong choice slows you down, inflates costs, and sends poor data straight into your model. The right ...

China has issued new guidelines to steer the high-quality development of its data annotation industry in the next two years, marking a critical step in fostering the high-quality growth of data ...