Microsoft Ai image annotation
Performing precise data annotation for computer vision models, creating high-quality training datasets that directly improved model accuracy and performance. · Expertly labeled thousands of images using techniques such as bounding boxes, semantic segmentation, and keypoint annotation to identify and delineate objects, scenes, and features. · Applied strict labeling guidelines to ensure consistency and reliability across datasets, contributing to robust model training for applications in [mention field, e.g., autonomous vehicles, medical imaging, or e-commerce]. · Participated in quality assurance cycles, reviewing peer annotations and refining labeling protocols to enhance dataset integrity and inter-annotator agreement. · Collaborated with data scientists and engineers to clarify edge cases and adapt annotation strategies, bridging the gap between project requirements and practical data preparation.