Image Annotator for Hilal Detection ML Project
I performed manual annotation of moon images to classify them based on their phases for use in a Hilal Detection machine learning model. My labeling work contributed directly to training a YOLO object detection model and integrating these results into a research-focused telescope system GUI. Maintaining the quality and consistency of annotations was critical to the success of this research. • Annotated images of the moon across various phases for classification. • Used internal or proprietary tools in coordination with machine learning workflows. • Supported model training and validation with accurate labeled data. • Provided ongoing data updates and quality control for research material.