CV-Cities comprises $223,736$ ground panoramic images and an equal number of satellite images all accompanied by high-precision GPS coordinates. These images represent sixteen representative cities across five continents. The ground images are $360^{\circ}$ panorama images with a resolution of $4,096 \times 2,048$ pixels, while the resolution of satellite images is $746 \times 746$ pixels, and are captured at a zoom level of $20$. The spatial resolution is $0.298 m$, corresponding to a latitude and longitude range of $0.002 \times 0.002^{\circ}$ (about $222 \times 222 m$). The images of each city in the dataset can be used for training and testing purposes.
Variants: CV-Cities
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Visual Place Recognition | CV-Cities | CV-Cities: Advancing Cross-View Geo-Localization in … | 2024-11-19 |
| Visual Place Recognition | Sample4Geo | Sample4Geo: Hard Negative Sampling For … | 2023-03-21 |
| Visual Place Recognition | SAIG-D | Simple, Effective and General: A … | 2023-02-03 |
Recent papers with results on this dataset: