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I have set up a project using DeepLabV3 for image semantic segmentation using the pre-trained DeepLabV3 model from Apple. This works consistently well for delineating (creating a black/white mask) the main object in a given image, but only as long as that main object is a person. When I try other random objects (coffee cups, tractor, stapler), with very clear outline/contrast, I get very poor results, if not a completely black mask. Is the pre-trained DeepLabV3 model just for people? If I need to do something (re-training, config, etc), what is it? Thanks, Neal