Data annotation The key to AI model accuracy
Data annotation is adding labels or tags to a training dataset to provide context and meaning to the data. All kinds of data, including text, images, audio and video, are annotated before being fed into an AI model. Annotated data helps machine learning models to learn and recognize patterns, make predictions, or generate insights from labeled data.
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