CoolFace
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MLap/GeoDE

Official Paper Number of country classes: 40Total number of images: 61925 Image count per country_ip class Country Number of Images Angola 10 Argentina 3193 Botswana 3 Brazil 16 Bulgaria 1 Cameroon 1 China 1565 Colombia 3703 Egypt 2449 France 59 Ghana 1 Greece 45 Indonesia 5311 Ireland 2 Italy 3933 Japan 6500 Jordan 43 Malaysia 55 Mexico 2723 Moldova 2 Netherlands 18 Nigeria 5729 Philippines 2906 Poland 68 Portugal 139… See the full description on the dataset page: https://huggingface.co/datasets/MLap/GeoDE.

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Official Paper

Number of country classes: 40 Total number of images: 61925

Image count per country_ip class

CountryNumber of Images
Angola10
Argentina3193
Botswana3
Brazil16
Bulgaria1
Cameroon1
China1565
Colombia3703
Egypt2449
France59
Ghana1
Greece45
Indonesia5311
Ireland2
Italy3933
Japan6500
Jordan43
Malaysia55
Mexico2723
Moldova2
Netherlands18
Nigeria5729
Philippines2906
Poland68
Portugal139
Romania1087
Saudi_Arabia1022
Singapore14
South_Africa3926
South_Korea1682
Spain3163
Thailand2264
Turkey6551
UnitedArabEmirates1127
United_Kingdom2594
Uruguay7
Venezuela1
Vietnam1
Yemen9
Zambia2

Citation

 @inproceedings{ramaswamy2022geode,
        author = {Vikram V. Ramaswamy and Sing Yu Lin and Dora Zhao and Aaron B. Adcock and Laurens van der Maaten and Deepti Ghadiyaram and 
                  Olga Russakovsky},
        title = {GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition},
        booktitle = {NeurIPS Datasets and Benchmarks},
        year = {2023}
    }