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> simplistic housing price models I'm pretty sure the next step here will be to build algorithms that pull in colorized 3D data of comparable resolution to wha
by semi-extrinsic 5y ago
> simplistic housing price models
I'm pretty sure the next step here will be to build algorithms that pull in colorized 3D data of comparable resolution to what Google Maps has today. Then the algorithm should be able to classify stuff like "this is a nice garden with sunlight all evening", "this has a nice view from the living room", "this one has windows facing the neighbour's windows" etc.
I recently pulled down Google Maps data for my neighborhood into Blender (using Chrome+RenderDoc and a plugin for GMaps import). To a human, the resulting colorized 3D model is more than enough to understand most there is to know about the exterior of a property.
- taeric 5y agoI'm pretty sure the largest factor to consider is the buying power of people in the city. Just look at the Seattle market, where houses often goo for +30% of asking. The houses are definitely not magic compared to other similar cities nearby.