FLAIR HUB LC D Swinbase Upernet
Trained on : FLAIR-HUB dataset 🔗
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 364 MB
- Versão
- vRevision c77d679
- Atualizado
- 16 de set. de 2026
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- 0
- Fonte
- Hugging Face
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Trained on : FLAIR-HUB dataset 🔗
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Artefatos de modelo
1 artefatoFLAIR-HUB_LC-D_swinbase-upernet.safetensors
safetensors · 364 MB · SHA-256 35b6e34e4c68…5a9c · Hugging Face
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2 trechos--- license: etalab-2.0 pipeline_tag: image-segmentation tags: - semantic segmentation - pytorch - landcover model-index: - name: FLAIR-HUB_LC-D_swinbase-upernet results: - task: type: semantic-segmentation dataset: name: IGNF/FLAIR-HUB/ type: earth-observation-dataset metrics: - type: mIoU value: 64.69 name: mIoU - type: OA value: 77.631 name: Overall Accuracy - type: IoU value: 83.967 name: IoU building - type: IoU value: 78.902 name: IoU greenhouse - type: IoU value: 61.59 name: IoU swimming pool - type: IoU value: 75.83 name: IoU impervious surface - type: IoU value: 57.539 name: IoU pervious surface - type: IoU value: 63.025 name: IoU bare soil - type: IoU value: 90.498 name: IoU water - type: IoU value: 68.274 name: IoU snow - type: IoU value: 54.417 name: IoU herbaceous vegetation - type: IoU value: 57.48 name: IoU agricultural land - type: IoU value: 36.857 name: IoU plowed land - type: IoU value: 78.136 name: IoU vineyard - type: IoU value: 71.93 name: IoU deciduous - type: IoU value: 62.922 name: IoU coniferous - type: IoU value: 29.421 name: IoU brushwood library_name: pytorch --- <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="display:in...
Source context: 0 downloads · 3 likes · Pipeline image-segmentation · Library pytorch · Repo IGNF/FLAIR-HUB_LC-D_swinbase-upernet
