Add library_name, project page URL, and Github URL to metadata (#1)
Browse files- Add library_name, project page URL, and Github URL to metadata (943349da18b959b849a9e2cd7acc6627e9e67bfc)
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-L_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: 65.777
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-
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value: 78.238
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value: 85.306
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value: 79.091
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value: 61.59
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value: 76.579
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value: 58.249
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value: 64.664
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value: 90.521
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value: 73.412
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value: 55.133
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value: 58.63
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value: 37.548
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value: 78.56
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value: 72.26
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value: 63.548
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value: 31.121
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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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@@ -289,7 +288,6 @@ pipeline_tag: image-segmentation
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---
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-
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### Training Config Hyperparameters
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```yaml
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@@ -386,37 +384,4 @@ pipeline_tag: image-segmentation
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<div style="flex: 1;">
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<p style="margin: 0;">Aerial ROI</p>
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<img src="./model_utils/AerialROI.png" alt="AERIAL" style="width: 100%; display: block;" />
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</div>
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<div style="flex: 1;">
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<p style="margin: 0;">Inference ROI</p>
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<img src="./model_utils/FLAIR-HUB_LC-L_swinbase-upernet_inferenceROI.png" alt="INFERENCE" style="width: 100%; display: block;" />
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</div>
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</div>
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---
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## Cite
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**BibTeX:**
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```
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@article{ign2025flairhub,
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doi = {10.48550/arXiv.2506.07080},
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url = {https://arxiv.org/abs/2506.07080},
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author = {Garioud, Anatol and Giordano, Sébastien and David, Nicolas and Gonthier, Nicolas},
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title = {FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping},
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publisher = {arXiv},
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year = {2025}
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}
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```
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**APA:**
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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/10.48550/arXiv.2506.07080
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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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library_name: pytorch
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model-index:
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- name: FLAIR-HUB_LC-L_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: 65.777
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name: mIoU
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- type: OA
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value: 78.238
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name: Overall Accuracy
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- type: IoU
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value: 85.306
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name: IoU building
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- type: IoU
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value: 79.091
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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: 76.579
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name: IoU impervious surface
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- type: IoU
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value: 58.249
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name: IoU pervious surface
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- type: IoU
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value: 64.664
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name: IoU bare soil
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- type: IoU
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value: 90.521
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name: IoU water
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- type: IoU
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value: 73.412
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name: IoU snow
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- type: IoU
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value: 55.133
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name: IoU herbaceous vegetation
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- type: IoU
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value: 58.63
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name: IoU agricultural land
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- type: IoU
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value: 37.548
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name: IoU plowed land
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- type: IoU
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value: 78.56
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name: IoU vineyard
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- type: IoU
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value: 72.26
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name: IoU deciduous
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- type: IoU
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value: 63.548
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name: IoU coniferous
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- type: IoU
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value: 31.121
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name: IoU brushwood
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project_page: https://ignf.github.io/FLAIR/FLAIR-HUB/flairhub
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github: https://github.com/IGNF/FLAIR-HUB
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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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---
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### Training Config Hyperparameters
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```yaml
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<div style="flex: 1;">
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<p style="margin: 0;">Aerial ROI</p>
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<img src="./model_utils/AerialROI.png" alt="AERIAL" style="width: 100%; display: block;" />
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