👉 Annotated engineering refers to the process of adding detailed metadata, labels, and annotations to engineering data, models, or systems to enhance their interpretability, usability, and performance. This involves tagging datasets with precise information such as component types, material properties, operational conditions, and performance metrics, or annotating machine learning models with input-output relationships, decision boundaries, and feature importance. By providing context and structure to raw data or model outputs, annotated engineering facilitates better understanding, debugging, training, and deployment of complex engineering solutions, ultimately bridging the gap between raw data and actionable insights. This practice is crucial for advancing fields like predictive maintenance, structural health monitoring, and autonomous systems, where precise data labeling and model interpretability are essential for reliability and safety.
