Command Palette
Search for a command to run...
Photo Geolocation Estimation On Yfcc26K
Metrics
City level (25 km)
Continent level (2500 km)
Country level (750 km)
Region level (200 km)
Street level (1 km)
Training Images
Results
Performance results of various models on this benchmark
| Paper Title | Repository | |||||||
|---|---|---|---|---|---|---|---|---|
| PIGEOTTO | 25.8 | 79.0 | 63.2 | 42.7 | 10.5 | 4.5M | PIGEON: Predicting Image Geolocations | |
| GeoDecoder | 23.9 | 69.0 | 49.6 | 34.1 | 10.1 | 4.7M | Where We Are and What We're Looking At: Query Based Worldwide Image Geo-localization Using Hierarchies and Scenes | - |
| GeoCLIP | 22.2 | 76.0 | 57.5 | 36.7 | 11.6 | 4.7M | GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization | |
| Translocator | 17.8 | 60.6 | 41.3 | 28.0 | 7.2 | 4.7M | Where in the World is this Image? Transformer-based Geo-localization in the Wild | |
| ISNs (M, f*, S3) | 12.3 | 50.7 | 31.9 | 19.0 | 5.3 | 4.7M | Geolocation Estimation of Photos using a Hierarchical Model and Scene Classification | - |
| PlaNet | 11.0 | 47.7 | 28.5 | 16.9 | 4.4 | 30.3M | PlaNet - Photo Geolocation with Convolutional Neural Networks |
0 of 6 row(s) selected.