General Data Labeling
Worked on a computer vision project focused on human action recognition and multi-object tracking in video datasets. Responsible for annotating and tracking moving objects frame-by-frame using bounding boxes and action tags. Ensured high-quality, consistent labeling for activities such as walking, running, sitting, and interaction-based actions. Used tools such as CVAT and applied tracking techniques compatible with models like YOLO and DeepSORT. Maintained annotation accuracy, quality control standards, and dataset consistency to support AI model training.