What do you know about data annotation?

Question

Accepted Answer

Data annotation is the process of labeling or tagging data to make it understandable for machines.

Data annotation involves adding metadata or labels to raw data.
It helps in training machine learning models by providing labeled examples.
Common types of data annotation include image labeling, text categorization, and sentiment analysis.
Data annotation can be done manually by human annotators or through automated tools.
Examples of data annotation tasks include identifying objects in images, classifying emails as spam or not, and tagging sentiment in social media posts.

Accepted Answer

The data annotation is refered to the labeling of data to make decision, take action and understandable for machine learning models also it is very important to have accurate set for ml

Accepted Answer

Data annotation is a critical step in supervised learning, it is the process of labelling data to teach the AI and ML models to recognise specific data types to produce relevant output.

What do you know about data annotation?

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