AI Training and Annotation for Object Detection
I created software for training artificial intelligence using both real and synthetic image data, focusing on object recognition. The work involved constructing AR demonstrators for machine component identification and integrating these trained models into operational workflows. My tasks included curating datasets, defining annotation standards, and ensuring accurate detection capabilities. • Developed datasets of machine component images for object detection training. • Annotated images to implement supervised learning for component recognition. • Utilized Unity Engine and AR platforms to validate model performance on real devices. • Evaluated recognition accuracy and refined labeling to improve results.