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

As companies have rushed to build AI models, the demand for “data annotation” and “data labeling” work has increased. Workers complete tasks such as writing and coding, which tech ...

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 ...

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 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 ...

In 2020, the market size of the data annotation sector in China reached 3.1 billion yuan ($425 million). By 2025, the figure is expected to reach 10.5 billion yuan, according to research services ...