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 ...

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, ...

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 ...

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 ...

New Delhi, Nov. 12, 2024 (GLOBE NEWSWIRE) -- The global data annotation tools market is estimated to witness a major jump in revenue from US$ 2.02 billion in 2023 to US$ 23.11 billion by 2032. The ...

Autonomous vehicles rely on high-quality data annotation to train AI/ML models for safe and intelligent driving. This blog explores how sensor data from cameras, LiDAR, and radar is annotated using ...

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 ...