Data annotation serves as the backbone of machine learning (ML) and artificial intelligence (AI) development. Whether you're training a self-driving car to identify pedestrians or teaching a model to detect sentiments in online reviews, annotated data is crucial for creating accurate AI systems. But how do you choose the right method for data annotation: manual or automated? Read full article here: - https://www.linkedin.com/pulse/what-differences-between-manual-automated-data-annotation-macgence-0strc/