Data Labelling
Labeled a comprehensive computer vision dataset of technical components and hardware infrastructure at USIU. Performed precise image annotation using bounding boxes to classify and tag diverse technological assets for an automated inventory and anomaly detection system. Handled a project size of over 1,500 high-resolution images, adhering to strict data quality control standards and team audit protocols to minimize labeling error rates and ensure high-accuracy training inputs for the object detection model.