Earlier quoted context omitted.
Fascinating - I just got a little lost thinking about how and why you selected this exact image. If you were able to select a single image containing the maximum aggregate count of unique features for any given location and describe them textually, that would make a very useful training data set... for competitive geoguessr and neural networks alike!
I have had so many ideas related to this. Particularly around automation. Because the way the community arrives at meta knowledge and its geographical distribution is very informal. There are quite a few false metas out there, or the commonly understood range of the meta is inaccurate. What needs to happen is automated image recognition and mapping of the metas. I started building an open source tool that allows for…
Re: Watching o3 guess a photo's location is surreal, dystopian and entertaining
#451Do you have a link? I'm curious what your approach to mapping the metas is... I guess somehow identify features and their frequency of appearing in images, then clustering them?