Object detection for images and video. I build and fine-tune YOLO-family detection models in Python, prepare and label training data, and review accuracy on real footage before hand-off. Typical work: surveillance and inventory tracking, automated quality inspection, and annotation for detection datasets. You get a runnable detection pipeline, the labelled dataset, and a short report on performance and limitations.