StreetCLIP is a robust foundation model for open-domain image geolocalization and other geographic and climate-related tasks.
Trained on an original dataset of 1.1 million street-level urban and rural geo-tagged images, it achieves state-of-the-art performance on multiple open-domain image geolocalization benchmarks in zero-shot, outperforming supervised models trained on millions of images.
04-Oct-2023
Serge Retkowsky | [email protected] | https://www.linkedin.com/in/serger/