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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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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:
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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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Trained on the original EarthLoc dataset (zooms 9,10,11) , in range -60,60 latitude, polar regions not supported.
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Training included additional queries which were not part of the test/val sets
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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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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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