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README.md
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---
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tags:
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library_name: configilm
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license: mit
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widget:
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---
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[TU Berlin](https://www.tu.berlin/) | [RSiM](https://rsim.berlin/) | [DIMA](https://www.dima.tu-berlin.de/menue/database_systems_and_information_management_group/) | [BigEarth](http://www.bigearth.eu/) | [BIFOLD](https://bifold.berlin/)
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year={2024},
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publisher={Elsevier}
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}
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```
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thumbnail: >-
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https://raw.githubusercontent.com/wiki/lhackel-tub/ConfigILM/static/imgs/RSiM_Logo_1.png
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tags:
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- convnextv2_base
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- BigEarthNet v2.0
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- Remote Sensing
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- Classification
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- image-classification
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- Multispectral
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library_name: configilm
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license: mit
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widget:
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- src: example.png
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example_title: Example
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output:
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- label: Agro-forestry areas
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score: 0.000005
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- label: Arable land
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score: 0.00009
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- label: Beaches, dunes, sands
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score: 0.000094
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- label: Broad-leaved forest
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score: 0.000325
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- label: Coastal wetlands
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score: 0.000057
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new_version: BIFOLD-BigEarthNetv2-0/convnextv2_base-s1-v0.2.0
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---
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[TU Berlin](https://www.tu.berlin/) | [RSiM](https://rsim.berlin/) | [DIMA](https://www.dima.tu-berlin.de/menue/database_systems_and_information_management_group/) | [BigEarth](http://www.bigearth.eu/) | [BIFOLD](https://bifold.berlin/)
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year={2024},
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publisher={Elsevier}
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}
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```
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