Annotation
I worked on a data labeling project focused on object detection, where I was responsible for accurately annotating images to help train computer vision models. The project involved drawing bounding boxes around objects, classifying them into predefined categories, and ensuring consistency across large datasets. I followed strict annotation guidelines and used labeling tools to maintain high precision and quality, while meeting tight deadlines. In addition to labeling, I performed data validation and quality checks to identify and correct errors, improving the overall reliability of the dataset. I also collaborated with team members to resolve ambiguous cases and refine labeling standards. This project strengthened my attention to detail, consistency, and understanding of how well-annotated data directly improves object detection model accuracy.