Image segmentation
Project Description – Aya Data (CVAT Annotation Project) At Aya Data, I contributed to a computer vision project focused on generating high-quality training data for autonomous systems. Using CVAT, I performed detailed annotations on image and video datasets, including object detection with bounding boxes, polygon segmentation, and frame-by-frame tracking. The datasets primarily involved urban environments, where precision in labeling vehicles, pedestrians, road signs, and lane markings was critical. My role required strong attention to detail, a deep understanding of annotation guidelines, and consistent communication with the QA team to ensure all data met client standards. I also helped flag edge cases and inconsistencies, which improved dataset quality and annotation workflow efficiency. The experience strengthened my skills in visual data analysis, annotation tool usage, and remote team collaboration.