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Data annotation » is essential for training AI and machine learning models to accurately process and understand information. By labeling various data types—text, images, video, audio, and LiDAR—annotation enhances model precision, reduces bias, and supports automation across sectors like healthcare, autonomous vehicles, and finance. Employing methods such as manual and machine learning-based annotation, along with best practices like clear guidelines and multiple annotators, ensures high-quality data labeling.