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Improve model card: Add library name, link to paper, project page, and improve formatting (#1)

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- Improve model card: Add library name, link to paper, project page, and improve formatting (0d1001b090817cd9c8dcadbadb445e08c039c62b)


Co-authored-by: Niels Rogge <[email protected]>

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  1. README.md +40 -52
README.md CHANGED
@@ -1,10 +1,10 @@
1
  ---
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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_RVB_swinlarge-upernet
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  results:
@@ -14,63 +14,60 @@ model-index:
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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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- - name: mIoU
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- type: mIoU
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  value: 63.356
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- - name: Overall Accuracy
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- type: OA
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  value: 76.954
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- - name: IoU building
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- type: IoU
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  value: 83.972
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- - name: IoU greenhouse
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- type: IoU
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  value: 77.247
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- - name: IoU swimming pool
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- type: IoU
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  value: 61.59
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- - name: IoU impervious surface
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- type: IoU
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  value: 75.642
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- - name: IoU pervious surface
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- type: IoU
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  value: 57.941
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- - name: IoU bare soil
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- type: IoU
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  value: 63.61
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- - name: IoU water
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- type: IoU
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  value: 90.07
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- - name: IoU snow
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- type: IoU
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  value: 54.777
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- - name: IoU herbaceous vegetation
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- type: IoU
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  value: 53.235
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- - name: IoU agricultural land
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- type: IoU
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  value: 57.935
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- - name: IoU plowed land
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- type: IoU
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  value: 38.391
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- - name: IoU vineyard
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- type: IoU
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  value: 78.814
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- - name: IoU deciduous
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- type: IoU
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  value: 69.909
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- - name: IoU coniferous
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- type: IoU
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  value: 59.468
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- - name: IoU brushwood
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- type: IoU
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  value: 30.173
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-
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- pipeline_tag: image-segmentation
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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 -->
@@ -280,7 +277,8 @@ pipeline_tag: image-segmentation
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  ## General Informations
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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
@@ -380,7 +378,7 @@ pipeline_tag: image-segmentation
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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-A_RVB_swinlarge-upernet_inferenceROI.png" alt="INFERENCE" style="width: 100%; display: block;" />
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  </div>
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  </div>
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@@ -399,14 +397,4 @@ pipeline_tag: image-segmentation
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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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-
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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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- ```
 
1
  ---
2
  license: etalab-2.0
3
+ pipeline_tag: image-segmentation
4
  tags:
5
  - semantic segmentation
6
  - pytorch
7
  - landcover
 
8
  model-index:
9
  - name: FLAIR-HUB_LC-A_RVB_swinlarge-upernet
10
  results:
 
14
  name: IGNF/FLAIR-HUB/
15
  type: earth-observation-dataset
16
  metrics:
17
+ - type: mIoU
 
18
  value: 63.356
19
+ name: mIoU
20
+ - type: OA
21
  value: 76.954
22
+ name: Overall Accuracy
23
+ - type: IoU
24
  value: 83.972
25
+ name: IoU building
26
+ - type: IoU
27
  value: 77.247
28
+ name: IoU greenhouse
29
+ - type: IoU
30
  value: 61.59
31
+ name: IoU swimming pool
32
+ - type: IoU
33
  value: 75.642
34
+ name: IoU impervious surface
35
+ - type: IoU
36
  value: 57.941
37
+ name: IoU pervious surface
38
+ - type: IoU
39
  value: 63.61
40
+ name: IoU bare soil
41
+ - type: IoU
42
  value: 90.07
43
+ name: IoU water
44
+ - type: IoU
45
  value: 54.777
46
+ name: IoU snow
47
+ - type: IoU
48
  value: 53.235
49
+ name: IoU herbaceous vegetation
50
+ - type: IoU
51
  value: 57.935
52
+ name: IoU agricultural land
53
+ - type: IoU
54
  value: 38.391
55
+ name: IoU plowed land
56
+ - type: IoU
57
  value: 78.814
58
+ name: IoU vineyard
59
+ - type: IoU
60
  value: 69.909
61
+ name: IoU deciduous
62
+ - type: IoU
63
  value: 59.468
64
+ name: IoU coniferous
65
+ - type: IoU
66
  value: 30.173
67
+ name: IoU brushwood
68
+ library_name: pytorch
69
  ---
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  <div style="font-family:sans-serif; color:black; background-color:#F8F5F5; padding:25px; border-radius:10px; margin:auto; border:0px; ">
72
 
73
  <!-- Collection Section -->
 
277
  ## General Informations
278
  - **Contact:** [email protected]
279
  - **Code repository:** https://github.com/IGNF/FLAIR-HUB
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+ - **Paper:** https://huggingface.co/papers/2506.07080
281
+ - **Project Page:** https://ignf.github.io/FLAIR/FLAIR-HUB/flairhub
282
  - **Developed by:** IGN
283
  - **Compute infrastructure:**
284
  - software: python, pytorch-lightning
 
378
  </div>
379
  <div style="flex: 1;">
380
  <p style="margin: 0;">Inference ROI</p>
381
+ <img src="./model_utils/FLAIR-HUB_LC-A_RVB_swinlarge-upernet_inferenceROI.png" alt="INFERENCE" style="width: 100%; display: block;\" />
382
  </div>
383
  </div>
384
 
 
397
  url = {https://arxiv.org/abs/2506.07080},
398
  author = {Garioud, Anatol and Giordano, Sébastien and David, Nicolas and Gonthier, Nicolas},
399
  title = {FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mapping},
400
+ publisher =