Airbus Annotation
Image
Bounding Box
RLHFWorked on a high-precision Airbus image annotation project involving detailed labeling of aircraft components and industrial environments. The task included drawing accurate bounding boxes around key objects such as aircraft parts, maintenance equipment, ground vehicles, and structural elements. Ensured pixel-level precision, consistent object tagging, and adherence to strict Airbus annotation guidelines. Performed quality checks to validate label consistency, correct class mapping, and spatial accuracy across thousands of images. Contributed to generating clean, reliable datasets essential for computer vision workflows such as object detection, component tracking, and automated inspection systems used in aerospace applications. Demonstrated strong attention to detail, annotation efficiency, and the ability to follow complex aircraft-specific standards.