LabelU is an open-source annotation platform designed to create training data for machine learning models. It provides tools for annotating images, videos, and audio across multiple task types including object detection, semantic segmentation, keypoint annotation, video tracking, and audio classification. The platform includes AI-assisted auto-annotation capabilities to accelerate labeling workflows and explicitly targets model training pipelines.