I’m not a 100% sure how yolo works but I think images are cut into grids and then detection is done per grid square. The results are processed, the bounding boxes are computed the old fashioned way from the predictions. That’s also how they get multiple predictions per image I think.

In your case, even if you detect corners how do you know they belong to the same card?