AI and Statistics Terminology Glossary: "Annotation"
Very important in AI development! It is used for machine learning of AI models.
Annotation refers to the process of adding information such as tags or metadata to data. This allows for a clear understanding of what each data element represents across various data formats, including text, images, audio, and video. In AI development, annotation is extremely important. Annotated data is referred to as training data and is used for the machine learning of AI models. *For more details on the glossary, you can view it through the related links. Please feel free to contact us for more information.*
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