use mixed datsets to train YOLO-World

[pixiaopi2018]

Hello, I want to use my own datasets to train a YOLO-World detector. But there is a question, for example, dataset_A has car/person in images, but only 'car' is labeled; datset_B also has car/person in images, but only 'person' is labeled. Thus, how can I put dataset_A and B to train YOLO-World simultaneously, the unlabeled objects won't affect the learning ?

Because this is an ovd detector, the distribution of its train data is very wide (like Flickr/GQA/Object365). Some categories in Flickr, must not be labeled in obj365. So I have this question.