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@@ -85,6 +85,8 @@ The models are most accurate on more closed water areas such as denser archipela
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  The model is trained using the following Sentinel-2 mosaics and manually annotated marine vessel data. Archipelago sea 2 and Kvarken were used as test data. Other three locations were sliced into 320x320 pixel patches. These patches were then spatially split into five equal sized folds so that each fold contained data from all timesteps and locations, and all patch locations that contained an annotated vessel in any timestep were included in the folds. In total, this dataset contained 3264 320x320 pixel image patches, of which 1974 contained annotated vessels and 1290 were background patches.
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  Training and validation data:
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  |Location|Date|Number of annotations|Annotated patches|Background patches|
 
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  The model is trained using the following Sentinel-2 mosaics and manually annotated marine vessel data. Archipelago sea 2 and Kvarken were used as test data. Other three locations were sliced into 320x320 pixel patches. These patches were then spatially split into five equal sized folds so that each fold contained data from all timesteps and locations, and all patch locations that contained an annotated vessel in any timestep were included in the folds. In total, this dataset contained 3264 320x320 pixel image patches, of which 1974 contained annotated vessels and 1290 were background patches.
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+ The annotations are available as GeoPackages on Zenodo portal: [https://zenodo.org/doi/10.5281/zenodo.10046341](https://zenodo.org/doi/10.5281/zenodo.10046341)
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  Training and validation data:
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  |Location|Date|Number of annotations|Annotated patches|Background patches|