what is data annotation

Data annotation is the process of labeling data with relevant tags to make it easier for computers to understand and interpret. This labeled data is essential for training machine learning and artificial intelligence models, as it allows the models to process, understand, and learn from the input patterns to arrive at desired outputs. Data annotation can be done manually by humans or automatically using advanced machine learning algorithms and tools. It is used for various types of data, including images, text, audio, and video, and is crucial for supervised learning models, as their performance and accuracy depend on the quality and quantity of annotated data