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Found 3 papers, 2 papers with code
PIGEON: Predicting Image Geolocations
We train two models for evaluations on street-level data and general-purpose image geolocalization; the first model, PIGEON, is trained on data from the game of Geoguessr and is capable of placing over 40% of its guesses within 25 kilometers of the target location globally.
Ranked #1 on
Photo geolocation estimation
on YFCC4k
Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization
Image geolocalization is the challenging task of predicting the geographic coordinates of origin for a given photo.
Ranked #1 on
Photo geolocation estimation
on Im2GPS
(Training images metric)
Estimating building energy efficiency from street view imagery, aerial imagery, and land surface temperature data
Current methods to determine the energy efficiency of buildings require on-site visits of certified energy auditors which makes the process slow, costly, and geographically incomplete.
