Automated labeling systems typically involve several key steps:
1. Data Capture: Collecting raw data from experimental setups or simulations. 2. Pre-processing: Cleaning and normalizing data to ensure consistency. 3. Feature Extraction: Identifying key characteristics or features of the data. 4. Labeling: Using algorithms to categorize the data based on identified features. 5. Validation: Ensuring the accuracy of labeled data through cross-validation techniques.
