YOLO Object Detection Model Training and Deployment
I trained YOLO models for object detection using image datasets. The process included preparing the image data, annotating objects, and evaluating detection accuracy through automated pipelines. I also integrated and deployed these models for real-time inference in a robotics environment. • Processed and labeled image data for training object detection algorithms. • Implemented and evaluated automated evaluation workflows for annotated images. • Conducted iterative improvements based on detection metrics and feedback. • Deployed trained models in ROS2-controlled systems for sensor integration.