Source data-free domain adaptation for a faster R-CNN

•We proposed a novel prototype-based source data-free domain adaptation method without accessing the source datasets.•An iteratively updated scheme for global class prototype was proposed to save the category semantic information.•Combining the semantic information of prototype and image features, a more accurate pseudo-labeling method was proposed.