Add library_name and project page URL (#1)
Browse files- Add library_name and project page URL (5352764b5f9d5fc101e4fbb7326ff4640d33bd1a)
Co-authored-by: Niels Rogge <[email protected]>
README.md
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---
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license: etalab-2.0
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tags:
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- semantic segmentation
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- pytorch
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- landcover
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-
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model-index:
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- name: FLAIR-HUB_LC-A_swinbase-upernet
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results:
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name: IGNF/FLAIR-HUB/
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type: earth-observation-dataset
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metrics:
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-
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type: mIoU
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value: 64.131
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-
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-
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value: 77.453
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-
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value: 83.859
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-
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value: 78.385
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-
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value: 61.59
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-
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value: 75.696
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value: 57.171
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value: 62.939
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value: 90.35
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value: 63.381
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value: 54.34
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value: 57.135
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value: 34.85
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value: 77.743
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value: 71.732
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-
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value: 62.603
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value: 30.189
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-
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-
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---
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-
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-
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<div style="font-family:sans-serif; color:black; background-color:#F8F5F5; padding:25px; border-radius:10px; margin:auto; border:0px; ">
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<!-- Collection Section -->
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@@ -281,6 +278,7 @@ pipeline_tag: image-segmentation
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- **Contact:** [email protected]
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- **Code repository:** https://github.com/IGNF/FLAIR-HUB
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- **Paper:** https://arxiv.org/abs/2506.07080
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- **Developed by:** IGN
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- **Compute infrastructure:**
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- software: python, pytorch-lightning
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```
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Anatol Garioud, Sébastien Giordano, Nicolas David, Nicolas Gonthier.
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FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping. (2025).
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-
DOI: https://doi.org/10.
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```
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---
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license: etalab-2.0
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pipeline_tag: image-segmentation
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tags:
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- semantic segmentation
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- pytorch
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- landcover
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model-index:
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- name: FLAIR-HUB_LC-A_swinbase-upernet
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results:
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name: IGNF/FLAIR-HUB/
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type: earth-observation-dataset
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metrics:
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- type: mIoU
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value: 64.131
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name: mIoU
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- type: OA
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value: 77.453
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name: Overall Accuracy
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- type: IoU
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value: 83.859
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+
name: IoU building
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- type: IoU
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value: 78.385
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name: IoU greenhouse
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- type: IoU
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value: 61.59
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name: IoU swimming pool
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- type: IoU
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value: 75.696
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name: IoU impervious surface
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- type: IoU
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value: 57.171
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name: IoU pervious surface
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- type: IoU
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value: 62.939
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name: IoU bare soil
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- type: IoU
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value: 90.35
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name: IoU water
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- type: IoU
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value: 63.381
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name: IoU snow
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- type: IoU
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value: 54.34
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name: IoU herbaceous vegetation
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- type: IoU
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value: 57.135
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name: IoU agricultural land
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- type: IoU
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value: 34.85
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name: IoU plowed land
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- type: IoU
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value: 77.743
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name: IoU vineyard
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- type: IoU
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value: 71.732
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name: IoU deciduous
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- type: IoU
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value: 62.603
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name: IoU coniferous
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- type: IoU
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value: 30.189
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name: IoU brushwood
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library_name: pytorch
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---
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<div style="font-family:sans-serif; color:black; background-color:#F8F5F5; padding:25px; border-radius:10px; margin:auto; border:0px; ">
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<!-- Collection Section -->
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- **Contact:** [email protected]
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- **Code repository:** https://github.com/IGNF/FLAIR-HUB
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- **Paper:** https://arxiv.org/abs/2506.07080
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- **Project page:** https://ignf.github.io/FLAIR/FLAIR-HUB/flairhub
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- **Developed by:** IGN
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- **Compute infrastructure:**
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- software: python, pytorch-lightning
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```
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Anatol Garioud, Sébastien Giordano, Nicolas David, Nicolas Gonthier.
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FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping. (2025).
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+
DOI: https://doi.org/10.48
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