1. Specialized in Data Annotation: Completed over 10,000 annotations with a 98% accuracy rate, ensuring high-quality labeling for various machine learning projects.2. Collaborative Enhancement: Worked with a team of 15 image annotation experts, improving annotation accuracy by 20% through streamlined processes.3. Polyline Annotation: Successfully annotated 1,500+ images using polylines for complex object shapes, contributing to a 15% improvement in model training accuracy.4. Polygon Annotation: Applied polygon annotation techniques to label 2,000+ objects with irregular shapes, ensuring precise boundaries and improving detection rates by 12%.5. 2D and 3D Labeling: Created detailed 2D labels for over 5,000 images and 3D labels for 1,200+ objects, increasing model accuracy by 18%.6. Bounding Box Creation: Developed 2D and 3D bounding boxes for 3,000+ objects, aiding in the creation of robust machine-learning models with a 20% increase in detection accuracy.7. Lidar Data Annotation: Utilized Lidar Linker to annotate 800+ Lidar datasets and performed Lidar marking for 600+ datasets, enhancing spatial data annotation accuracy.8. Video and Text Labeling: Gained an overview of video labeling processes and the nuances of temporal data annotation; familiar with text labeling techniques, contributing to natural language processing projects.