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- ---
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- license: mit
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- datasets:
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- - pawlo2013/EarthLoc_2021_Database
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- base_model:
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- - facebook/dinov2-base
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- pipeline_tag: image-feature-extraction
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- ---
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  ## EarthLoc2 model
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  This is the EarthLoc2 model = DINOv2 base with SALAD aggregator out dim = 3072.
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- Achieves R@10 = 90.6 on the original EarthLoc test and val sets (when retrieving against whole db as is)
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  Trained on the original EarthLoc dataset (zooms 9,10,11) , in range -60,60 latitude, polar regions not supported.
 
 
 
 
 
 
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  5000 iterations with a batch size of 96.
 
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  See EarthLoc for more details https://earthloc-and-earthmatch.github.io/
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+ ---
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+ license: mit
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+ datasets:
4
+ - pawlo2013/EarthLoc_2021_Database
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+ base_model:
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+ - facebook/dinov2-base
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+ pipeline_tag: image-feature-extraction
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+ ---
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  ## EarthLoc2 model
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  This is the EarthLoc2 model = DINOv2 base with SALAD aggregator out dim = 3072.
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+
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  Trained on the original EarthLoc dataset (zooms 9,10,11) , in range -60,60 latitude, polar regions not supported.
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+
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+ Training included additional queries which were not part of the test/val sets
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+
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+
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+ Achieves R@10 = 90.6 on the original EarthLoc test and val sets (when retrieving against whole db as is).
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+
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  5000 iterations with a batch size of 96.
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+
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  See EarthLoc for more details https://earthloc-and-earthmatch.github.io/
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