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Description

Data annotation is the process of labeling data to make it usable for machine learning models. This labeling can be done manually or automatically, depending on the type of data and the desired outcome.
Data annotation is an essential step in the machine learning pipeline since it provides the necessary input for the model to learn from. Data annotation can be applied to many types of data, including text, images, audio, and video. The labeling process can vary depending on the type of data, but the goal is always the same: to provide a clear and consistent label that the model can use to learn from.

Description

Data annotation is the process of labeling data to make it usable for machine learning models. This labeling can be done manually or automatically, depending on the type of data and the desired outcome.
Data annotation is an essential step in the machine learning pipeline since it provides the necessary input for the model to learn from. Data annotation can be applied to many types of data, including text, images, audio, and video. The labeling process can vary depending on the type of data, but the goal is always the same: to provide a clear and consistent label that the model can use to learn from.