We built a GPU → CVAT human-in-the-loop video annotation pipeline, here’s what actually happened

One problem with embodied AI isn't just collecting video; it's turning all that video into usable training data. Manually annotating every frame doesn't scale particularly well. Automated detection can do much of the initial work, but real-world footage still contains occlusions, partial objects, tracking errors, and boxes that a human may want to correct. So we wanted to test something practical: "Can GPU-based automated annotation and human review work together as one complete data-production loop?" We built a small end-to-end experiment to find out. I. The workflow The pipeline was fairly s