Data annotation, or the process of adding labels to images, text, audio and other forms of sample data, is typically a key step in developing AI systems. The vast majority of systems learn to make ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Artificial intelligence (AI) has made significant strides in recent years, largely due to ...

The data annotation tools market size is anticipated to surpass USD 10 billion by 2028, as reported in a research study by Global Market Insights Inc. The market growth can be attributed to the ...

GUEST OPINION: Are you planning on buying or building a data annotation tool for your AI project? Find out about your options and their corresponding use cases. Data annotation is the process of ...

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, ...

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 of ...

For the first time, China has released a plan to allow the use of public data for labelling as the nation aims to empower its fast-growing digital economy and facilitate artificial intelligence (AI) ...

With the global economy, including China's, facing challenges, some Western politicians and media outlets have stepped up smear campaigns against the world's second-largest economy. They selectively ...