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@@ -76,6 +76,7 @@ known model biases:
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  - v1 of this model leans heavily towards rural locations due to dataset bias, will be fixed in v2 as I collect more locations
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  - it managed to generalize to locations not available on geoguessr, like china, although it drifts towards generic locs
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  - its trained on lowercase country names, and flux is case sensitive. results may vary
 
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  geoguessr_v2 with a much larger dataset and less location bias will be out eventually.
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  - v1 of this model leans heavily towards rural locations due to dataset bias, will be fixed in v2 as I collect more locations
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  - it managed to generalize to locations not available on geoguessr, like china, although it drifts towards generic locs
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  - its trained on lowercase country names, and flux is case sensitive. results may vary
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+ - it LOVES orange/red dirt colors. this will be fixed in v2 also
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  geoguessr_v2 with a much larger dataset and less location bias will be out eventually.
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