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@@ -20,7 +20,7 @@ These models were trained on expert-annotated deadwood data, acquired on during
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  ## Results
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- Patch-level data are non-overlapping 512x512 pixel tiles extracted from larger virtual plots. The results presented here are the run with test-time augmentation.
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  Scene-level data are the full virtual plots extracted from the full images. For Hiidenportti, the virtual plot sizes vary between 2560x2560px and 8192x4864px. These patches contain also non-annotated buffer areas in order to extract the complete annotated area. For Sudenpesänkangas, all 71 scenes are 100x100 meters (2063x2062) pixels, and during inference they are extracted from the full mosaic with enough buffer to cover the full area. The results presented here are run for 512x512 pixel tiles with 256 px overlap, with both edge filtering and mask merging described in the workflow.
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  ## Results
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+ Patch-level data are non-overlapping 512x512 pixel non-overlapping tiles extracted from larger virtual plots. The results presented here are the run with test-time augmentation.
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  Scene-level data are the full virtual plots extracted from the full images. For Hiidenportti, the virtual plot sizes vary between 2560x2560px and 8192x4864px. These patches contain also non-annotated buffer areas in order to extract the complete annotated area. For Sudenpesänkangas, all 71 scenes are 100x100 meters (2063x2062) pixels, and during inference they are extracted from the full mosaic with enough buffer to cover the full area. The results presented here are run for 512x512 pixel tiles with 256 px overlap, with both edge filtering and mask merging described in the workflow.
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