Images about active learning and iterative labeling, automated label generation, automatic text annotation for nlp tasks, continuous learning and mlops integration, domain adaptation and customization, enhanced ui-ux for annotation tools, error highlighting and confidence scoring, human-in-the-loop feedback loops, intelligent label propagation, model-assisted quality control, multi-modal annotation improvements, object detection and image segmentation at scale, personalized annotation workflows, scalable cloud-based labeling platforms, self-supervised and unsupervised techniques, synthetic data generation and augmentation, time-series and sensor data annotation, transfer learning for efficient labeling, video annotation automation, and weak supervision and data programming.