def METHOD_NAME(model, images, target_scale, target_max_size, device):
    """
    Performs bbox detection on the horizontally flipped image.
    Function signature is the same as for im_detect_bbox.
    """
    transform = TT.Compose([
        T.Resize(target_scale, target_max_size),
        TT.RandomHorizontalFlip(1.0),
        TT.ToTensor(),
        T.Normalize(
            mean=cfg.INPUT.PIXEL_MEAN, std=cfg.INPUT.PIXEL_STD, to_bgr255=cfg.INPUT.TO_BGR255
        )
    ])
    images = [transform(image) for image in images]
    images = to_image_list(images, cfg.DATALOADER.SIZE_DIVISIBILITY)
    boxlists = model(images.to(device))
    # Invert the detections computed on the flipped image
    boxlists_inv = [boxlist.transpose(0) for boxlist in boxlists]
    return boxlists_inv