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Niantic announces “Large Geospatial Model” trained on Pokémon Go player data

(nianticlabs.com)
383 points bookstore-romeo | 1 comments | 19 Nov 24 20:02 UTC | HN request time: 0.001s | source
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krick ◴[21 Nov 24 02:10 UTC] No.42200358[source]▶
I still don't get what LGM is. From what I understood, it isn't actually about any "geospatial" data at all, is it? It is rather about improving some vision models to predict how the backside of a building looks, right? And training data isn't of people walking, but from images they've produced while catching pokemons or something?

P.S.: Also, if that's indeed what they mean, I wonder why having google street view data isn't enough for that.

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1. jayd16 ◴[21 Nov 24 03:56 UTC] No.42200944[source]▶
The ultimate goal is to use the phone camera to get very accurate mapping and position. They're able to merge images from multiple sources which means they're able to localize an image against their database, at least relatively.