Action and Object Tracking for Autonomous Driving Videos
Annotated and tracked moving objects across video frames to train perception models for autonomous driving. Used bounding boxes to identify vehicles, pedestrians, cyclists, and other dynamic road elements. Ensured temporal consistency and high precision in frame-by-frame labeling to support object tracking, motion prediction, and behavioral recognition tasks. Maintained strict QA standards and reviewed peer annotations for accuracy and continuity.