Image-Based Geolocation Using Large Vision-Language Models

Understand

Geolocation is now a vital aspect of modern life, offering numerous benefits but also presenting serious privacy concerns.

• The advent of large vision-language models (LVLMs) with advanced image-processing capabilities introduces new risks, as these models can inadvertently reveal sensitive geolocation information.
• This paper presents the first in-depth study analyzing the challenges posed by traditional deep learning and LVLM-based geolocation methods.
• Our findings reveal that LVLMs can accurately determine geolocations from images, even without explicit geographic training.