I think even if the model wasn’t specifically trained for geolocation, it’s a reasonable assumption that metadata from photos (which often includes geo data) somehow gets passed to the models and this created a huge annotated dataset of (geo, photo) pairs during training for stuff like searching Google images.
I think even if the model wasn’t specifically trained for geolocation, it’s a reasonable assumption that metadata from photos (which often includes geo data) somehow gets passed to the models and this created a huge annotated dataset of (geo, photo) pairs during training for stuff like searching Google images.