# Which Country Is This? Automatic Country Ranking of Street View Photos

arXiv: https://arxiv.org/abs/2406.07227 · HTML: https://mlsanity.com/paper/2406.07227/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 13 references that are in the map.
- First posted on arXiv 11 Jun 2024.

## Builds on (most cited first, 3 of 3)

- [ClipCap: CLIP Prefix for Image Captioning](https://mlsanity.com/paper/2111.09734/) (2021)
- [PlaNet - Photo Geolocation with Convolutional Neural Networks](https://mlsanity.com/paper/1602.05314/) (2016)
- [Which country is this picture from? New data and methods for DNN-based country recognition](https://mlsanity.com/paper/2209.02429/) (2022)

## Abstract (arXiv)

In this demonstration, we present Country Guesser, a live system that guesses the country that a photo is taken in. In particular, given a Google Street View image, our federated ranking model uses a combination of computer vision, machine learning and text retrieval methods to compute a ranking of likely countries of the location shown in a given image from Street View. Interestingly, using text-based features to probe large pre-trained language models can assist to provide cross-modal supervision. We are not aware of previous country guessing systems informed by visual and textual features.