I have a collection of vehicle-focused images that must be labelled with three kinds of information: every visible licence plate, the vehicle type, and any traffic signs appearing in frame. The end product I need from you is a clean, well-structured XML file (or batch of XMLs) that captures those annotations precisely, ready for downstream computer-vision training. All bounding boxes or polygons must be tight around the objects, with class names exactly as agreed—no typos or extra spacing—so the dataset stays consistent. If you prefer tools such as CVAT, LabelImg or similar that export directly to XML, feel free to use them; just ensure the coordinates map back to the original image size without shifting. Before final hand-off I’ll check a small random sample for accuracy, overlap, and correct class tagging. Once everything passes, the whole annotated set along with the XML files completes the job.