1 code implementation • 11 Jul 2023 • Lukas Haas, Michal Skreta, Silas Alberti, Chelsea Finn
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
1 code implementation • 1 Feb 2023 • Lukas Haas, Silas Alberti, Michal Skreta
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)
no code implementations • 5 Jun 2022 • Kevin Mayer, Lukas Haas, Tianyuan Huang, Juan Bernabé-Moreno, Ram Rajagopal, Martin Fischer
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.