l*, defaults to `True`):
            Whether or not to normalize the input with mean and standard deviation.
        image_mean (`int`, *optional*, defaults to `[0.485, 0.456, 0.406]`):
            The sequence of means for each channel, to be used when normalizing images. Defaults to the ImageNet mean.
        image_std (`int`, *optional*, defaults to `[0.229, 0.224, 0.225]`):
            The sequence of standard deviations for each channel, to be used when normalizing images. Defaults to the
            ImageNet std.
        ignore_index (`int`, *optional*):
            Label to be assigned to background pixels in segmentation maps. If provided, segmentation map pixels
            denoted with 0 (background) will be replaced with `ignore_index`.
        do_reduce_labels (`bool`, *optional*, defaults to `False`):
            Whether or not to decrement all label values of segmentation maps by 1. Usually used for datasets where 0
            is used for background, and background itself is not included in all classes of a dataset (e.g. ADE20k).
            The background label will be replaced by `ignore_index`.

    