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Joined 6か月前
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Cake day: 2025年6月5日

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  • I wouldn’t call it a city, when I was there it was it felt like it’s a village. And thank you for calling it circular because it’s not, and the spire helps with that illusion. The town covers only one side of the rock, the other side is empty.

    About similar things, the “abbey on the top of a lonely rock/hill” trope is not unheard of in Europe, on the top of my head: Monte Cassino, Assisi, Melk, Pannonhalma…

    But that’s not the point I tried to make. Here is the contour of Mont-Saint-Michel, you can recognize it at first glance, even at small resolution, because it’s very unique:

    But can you also recognise it as quickly if I remove the spire from the same drawing:

    That’s the point I tried to make, that small touch added a lot to it’s unique look. And it also fits really well, just it’s not as old as other parts.







  • We utilized building footprint datasets from various sources (see Table 2), including OSM (OpenStreetMap contributors, 2025), Google Open buildings (Google Research, 2023), Microsoft Building Footprints (Microsoft, 2024), and CLSM (Shi et al., 2024). Since none of the above-mentioned footprints is complete, we also generated our own global building polygons from an updated version of GlobalBuildingMap (Zhu et al., 2024),

    As I’m a frequent OSM contributor, I’m familiar with those other datasets, and they are shit. Just zoom in any river or lake near a city and you will find houses in the water, clearly grid based building are nicely dancing around, etc. The demoed areas are from OSM, and mostly drawn manually, you can see them on a lot other sources without the low quality AI gen contours, e.g.:

    Edit: I read it through, and the actual research is they acquired building height data, and added it to the already existing datasets:

    All the aforementioned datasets are mostly 2d. OSM has some building height data.

    And their point is not to have a detailed and end user friendly dataset, just a global one,