James Y.

Worked on an image annotation project supporting the development of machine learning and computer vision models. Responsible for labeling and categorizing images to improve AI accuracy in object detection, image recognition, and data classification. Ensured high-quality annotations by following detailed guidelines and maintaining consistency across datasets. Collaborated with quality reviewers and project leads to refine labeling standards and meet project timelines. Key Responsibilities Annotated images using bounding boxes, polygons, keypoints, and segmentation tools Labeled objects, scenes, and attributes according to project guidelines Reviewed and corrected annotations to maintain data accuracy Followed quality assurance processes to reduce labeling errors Managed large datasets while meeting productivity targets Communicated with team leads regarding unclear edge cases Maintained consistency across multiple annotation tasks Skills for Image Annotation Image annotation tools used: CVAT, Labelbox, Supervisely, VGG Image Annotator, LabelImg. Bounding box, polygon, semantic segmentation, and keypoint labeling