AI Image Annotation for Object Detection
Annotated large-scale image datasets for object detection models, including vehicles, pedestrians, traffic signs, and road features. Tasks involved drawing bounding boxes, assigning class labels, and conducting quality assurance checks to ensure consistency across the dataset. Implemented structured guidelines to maintain annotation accuracy and reduce labelling discrepancies. Supported iterative feedback cycles and improved labelling efficiency through batch processing and internal review workflows.