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README.md
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---
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license: apache-2.0
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---
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license: apache-2.0
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task_categories:
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- image-segmentation
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- image-feature-extraction
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language:
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- en
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tags:
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- climate
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pretty_name: d
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size_categories:
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- 100M<n<1B
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---
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Manual crown delineation of individual trees in two countries: Denmark and Finland.
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---------- Denmark data---------- :
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More than 20k individual trees growing in different landscapes.
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Annotation masks are paired with aerial photographs with a spatial resolution of 20cm.
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Images contain RGB and near-infrared bands and were taken in summer 2018.
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Image credits: Danish Agency for Data Supply and Infrastructure (https://sdfi.dk/)
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---------- Finland data---------:
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More than 4k individual tree crowns in random sampling regions
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Annotation masks are paired with aerial photographs containing near-infrared, green, and blue bands with a spatial resolution of 50cm
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Image credits: National Survey of Finland (https://www.maanmittauslaitos.fi/en/maps-and-spatial-data)
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Tasks:
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Segmentation of individual tree crowns
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Transfer learning/domain adaptation between datasets with different visual semantics, band compositions, forest species, etc.
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Paper: https://doi.org/10.1093/pnasnexus/pgad076
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