Independent AI Data Labeler & Annotator (Practice)
Independently performs image annotation for computer-vision datasets using CVAT, with a focus on bounding-box labeling. Annotates and tracks objects within sports imagery to support analytics on fast-paced motion, such as tracking volleyballs. Manages data export configurations in structured formats to ensure compatibility with downstream training pipelines.• Uses CVAT to create precise bounding boxes for object detection/tracking use cases.• Formats annotation exports using .json and .xml configuration structures.• Specializes in bounding box tracking behavior for sports data analytics.• Ensures high accuracy and adherence to annotation guidelines throughout the task workflow.