A trap street doesn't damage other data. Not even remotely useful as an analogy. That's to allow detection of copies, not to corrupt the copies from being useable.
Sure it does. Suppose the data you want to publish is about the number of streets, or he average street length, or the distribution of street names, or the angles of intersections. Trap streets will corrupt that, even if it's just a tiny bit. Likewise, ghost imagery slipped into desirable imagery only slightly corrupts the model, but like the trap streets, that's the model-maker's problem.
You have a legal right to scrape data and use it as input into a model, you don't have a right to good data. It's up to you to sanitize it before training your model on it.
