Data Labeling for AI
Data labeling for AI is essentially tagging data. This operation is intended to create a labeled dataset that can be used to train, test, and improve machine learning models. A labeled dataset provides an AI system with the required information to learn and make predictions accurately. Machine learning algorithms rely on labeled examples to recognize patterns and relationships within the data. The desired result may be jeopardized if data labeling is not executed to a high standard of quality.