FLAIR HUB LC A IR Convnextv2base Upernet
Trained on : FLAIR-HUB dataset 🔗
Source du modèle
- Type
- Other
- Taille du fichier
- 350 MB
- Version
- vRevision 56e0043
- Mis à jour
- 16 sept. 2026
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- 0
- Source
- Hugging Face
Extrait de la source
Trained on : FLAIR-HUB dataset 🔗
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1 source
Sources
1 sourceVérifié 1 sept.
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Artefacts du modèle
1 artefactFLAIR-HUB_LC-A_IR_convnextv2base-upernet.safetensors
safetensors · 350 MB · SHA-256 6a9e813cf636…8c36 · Hugging Face
TéléchargerExtraits de sources
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Extraits de sources
2 extraits--- license: etalab-2.0 pipeline_tag: image-segmentation tags: - semantic segmentation - pytorch - landcover library_name: pytorch model-index: - name: FLAIR-HUB_LC-A_convnextv2base-upernet results: - task: type: semantic-segmentation dataset: name: IGNF/FLAIR-HUB/ type: earth-observation-dataset metrics: - type: mIoU value: 63.771 name: mIoU - type: OA value: 77.031 name: Overall Accuracy - type: IoU value: 83.5 name: IoU building - type: IoU value: 76.548 name: IoU greenhouse - type: IoU value: 59.37 name: IoU swimming pool - type: IoU value: 74.837 name: IoU impervious surface - type: IoU value: 56.544 name: IoU pervious surface - type: IoU value: 63.005 name: IoU bare soil - type: IoU value: 89.533 name: IoU water - type: IoU value: 67.806 name: IoU snow - type: IoU value: 53.766 name: IoU herbaceous vegetation - type: IoU value: 57.318 name: IoU agricultural land - type: IoU value: 34.667 name: IoU plowed land - type: IoU value: 78.533 name: IoU vineyard - type: IoU value: 70.751 name: IoU deciduous - type: IoU value: 61.192 name: IoU coniferous - type: IoU value: 29.189 name: IoU brushwood --- <div style="font-family:sans-serif; color:black; background-color:#F8F5F5; padding:25px; border-radius:10px; margin:auto; border:0px; "> <!-- Collection Section --> <div style="background:#FFFFFF; color:black; padding:20px; border-radius:8px; box-shadow:0 2px 5px rgba(0,0,0,0.05); margin-bottom:20px;"> <h1 style="margin-top:0; color:black;">🌐 FLAIR-HUB Model Collection</h1> <ul style="padding-left:0; list-style:none; line-height:1.6; margin:0;"> <li> <span style="display:inline-block; width:10px; height:10px; background:#555; border-radius:2px; margin-right:10px; box-shadow:1px 1px 2px rgba(0,0,0,0.2); vertical-align:middle;"></span> <b>Trained on</b>: <span style="color:black;">FLAIR-HUB dataset</span> <a href="https://huggingface.co/datasets/IGNF/FLAIR-HUB" target="_blank" style="margin-left:5px;">🔗</a> </li> <li> <span style="display:inline-block; width:10px; height:10px; background:#555; border-radius:2px; margin-right:10px; box-shadow:1px 1px 2px rgba(0,0,0,0.2); vertical-align:middle;"></span> <b>Available modalities</b>: Aerial images, SPOT images, Topographic info, Sentinel-2 yearly time-series, Sentinel-1 yearly time-series, Historical aerial images </li> <li> <span style="di...
Source context: 0 downloads · 1 likes · Pipeline image-segmentation · Library pytorch · Repo IGNF/FLAIR-HUB_LC-A_IR_convnextv2base-upernet
