What is Data Labeling/Annotation?
Data labeling, also known as data annotation, is the process of assigning meaningful tags or annotations to raw data, typically in the form of text, images, or videos. It plays a crucial role in training and fine-tuning machine learning and artificial intelligence (AI) models. The process involves human annotators or specialized tools systematically labeling data with specific attributes or categories, making it understandable and useful for AI algorithms.Data labeling is essential because it provides labeled datasets that serve as ground truth or reference for AI models. These labeled datasets enable supervised learning, where AI algorithms learn from labeled examples to make predictions or perform specific tasks accurately.Related terms
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