Computer Vision Image Annotation Project
I worked on an image annotation project focused on sports analytics and athlete performance data. The scope of the project involved labeling sports images by identifying athletes, equipment, field markings, and key action-related elements. Specific tasks included drawing precise bounding boxes and polygons around players, annotating body positions, classifying action types, and tagging relevant contextual details based on detailed annotation guidelines. The project covered several hundred images across multiple sports categories, requiring consistent labeling to support action recognition and computer vision model training. Throughout the project, I adhered to strict quality measures such as accuracy thresholds, consistency checks, cross-review processes, and guideline compliance. My work ensured that every annotation met the required precision level to support high-quality model development in sports analytics and motion understanding.