Image Classification on Im2GPS3k

Metric: Region level (200 km) (higher is better)

LeaderboardDataset

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Results

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#	Model↕	Region level (200 km)▼	Extra Data	Paper	Date↕	Code
1	GeoRanker	61.49	No	GeoRanker: Distance-Aware Ranking for Worldwide ...	2025-05-19	-
2	G3	55.56	No	G3: An Effective and Adaptive Framework for Worl...	2024-05-23	Code
3	PIGEOTTO	53.8	No	PIGEON: Predicting Image Geolocations	2023-07-11	Code
4	GeoCLIP	50.7	No	GeoCLIP: Clip-Inspired Alignment between Locatio...	2023-09-27	Code
5	Translocator	46.7	No	Where in the World is this Image? Transformer-ba...	2022-04-29	Code
6	GeoDecoder	45.9	No	Where We Are and What We're Looking At: Query Ba...	2023-03-07	-
7	StreetCLIP (Zero-Shot)	37.4	No	Learning Generalized Zero-Shot Learners for Open...	2023-02-01	Code
8	ISNs (M, f*, S3)	36.6	No	-	-	Code
9	base (M, f*)	35.6	No	-	-	Code
10	CPlaNet (1-5, PlaNet)	34.6	No	CPlaNet: Enhancing Image Geolocalization by Comb...	2018-08-06	-
11	base (L, m)	34	No	-	-	Code
12	Im2GPS (kNN, sigma = 4)	26.9	No	Revisiting IM2GPS in the Deep Learning Era	2017-05-13	-
13	Im2GPS ([L] 7011C)	21.4	No	Revisiting IM2GPS in the Deep Learning Era	2017-05-13	-
14	Im2GPS ([M] 7011C)	21.3	No	Revisiting IM2GPS in the Deep Learning Era	2017-05-13	-

#1GeoRankerSOTA
61.49
Region level (200 km)· 2025-05-19
GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization
#2G3SOTA
55.56
Region level (200 km)· 2024-05-23
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models Code
#3PIGEOTTOSOTA
53.8
Region level (200 km)· 2023-07-11
PIGEON: Predicting Image Geolocations Code
#4GeoCLIP
50.7
Region level (200 km)· 2023-09-27
GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization Code
#5TranslocatorSOTA
46.7
Region level (200 km)· 2022-04-29
Where in the World is this Image? Transformer-based Geo-localization in the Wild Code
#6GeoDecoder
45.9
Region level (200 km)· 2023-03-07
Where We Are and What We're Looking At: Query Based Worldwide Image Geo-localization Using Hierarchies and Scenes
#7StreetCLIP (Zero-Shot)
37.4
Region level (200 km)· 2023-02-01
Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization Code
#8ISNs (M, f*, S3)
36.6
Region level (200 km)
No paperCode
#9base (M, f*)
35.6
Region level (200 km)
No paperCode
#10CPlaNet (1-5, PlaNet)SOTA
34.6
Region level (200 km)· 2018-08-06
CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps
#11base (L, m)
34
Region level (200 km)
No paperCode
#12Im2GPS (kNN, sigma = 4)SOTA
26.9
Region level (200 km)· 2017-05-13
Revisiting IM2GPS in the Deep Learning Era
#13Im2GPS ([L] 7011C)
21.4
Region level (200 km)· 2017-05-13
Revisiting IM2GPS in the Deep Learning Era
#14Im2GPS ([M] 7011C)
21.3
Region level (200 km)· 2017-05-13
Revisiting IM2GPS in the Deep Learning Era