It may be a trivial question but while reading this tutorial: TorchVision Object Detection Finetuning Tutorial — PyTorch Tutorials 1.7.1 documentation
I found this custom Dataset
class PennFudanDataset(object):
    def __init__(self, root, transforms):
        #random code

Which does not inherit torch.utils.data.Dataset (even though pytorch itself recommends us to "inherit Dataset ")
My question is simple, can I just create a custom dataset with just ‘object’ and not ‘Dataset’? if so is there a drawback for using ‘object’ instead of ‘Dataset’?
And since we are already here, why do we need to inherit ‘torch.utils.data.Dataset’ to create a custom dataset?
I’ve checked the source code and it only contains getitem and add, do we do it only  because of “good practices” or is there something about this class I’m missing here??
Thanks for any help!!