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Why, imagining is fun.

There are tons of photos of these places online, many of them tagged ("breaking news from the dome of the rock", or "here's me and Sam at the western wall"). Collect enough of these and you can attach knowledge to images. Then, you just have to know two images look similar, and you have your classification.

Neither of the above is easy - nay, it's very hard. But once you have those two building blocks, this technology is viable. And it's very exciting!

For places, could it be cheating and peeking at GPS positions in the EXIf tags?

I took a half dozen or so pictures of the sagrada familia, all have gps data in exif. Only one of my pictures contained the famous spirals, the rest were closeups of exterior detail. Only the picture of the spirals showed up in the query.

It's very impressive.

My photos don't have GPS positioning. I did manually position them roughly though, but nowhere near accurately enough to know which photo is a specific landmark and which isn't

It appears to recognize some famous mountains, including Mt Robson (Canada), Mt Rainier (USA) and Cerro Torre (Chile/Argentina).