Data annotation (bounding boxes and key points) for AI model training
Performed complex bounding-box labeling and key point tagging for dynamic objects used in AI model training. Ensured the annotations were consistent and suitable for downstream training workflows. Contributed to building high-quality training datasets for computer vision tasks. • Labeled dynamic objects using bounding boxes • Tagged key points on moving entities • Maintained annotation quality for training data • Supported dataset preparation for AI models