FLAIR HUB LC B IR Swinbase Upernet
Trained on : FLAIR-HUB dataset 🔗
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 703 MB
- Versión
- vRevision 8fc899e
- Actualizado
- 16 sept 2026
- Descargas
- 0
- Fuente
- Hugging Face
Extracto de la fuente
Trained on : FLAIR-HUB dataset 🔗
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 1 sept
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoFLAIR-HUB_LC-B_IR_swinbase-upernet.safetensors
safetensors · 703 MB · SHA-256 cd28578a1189…6a4d · Hugging Face
DescargarExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- license: etalab-2.0 pipeline_tag: image-segmentation tags: - semantic segmentation - pytorch - landcover library_name: pytorch model-index: - name: FLAIR-HUB_LC-B_IR_swinbase-upernet results: - task: type: semantic-segmentation dataset: name: IGNF/FLAIR-HUB/ type: earth-observation-dataset metrics: - type: mIoU value: 65.1 name: mIoU - type: OA value: 78.1 name: Overall Accuracy - type: IoU value: 85.1 name: IoU building - type: IoU value: 80.4 name: IoU greenhouse - type: IoU value: 62.5 name: IoU swimming pool - type: IoU value: 76.2 name: IoU impervious surface - type: IoU value: 58.1 name: IoU pervious surface - type: IoU value: 64.1 name: IoU bare soil - type: IoU value: 91.0 name: IoU water - type: IoU value: 62.6 name: IoU snow - type: IoU value: 55.2 name: IoU herbaceous vegetation - type: IoU value: 57.8 name: IoU agricultural land - type: IoU value: 37.8 name: IoU plowed land - type: IoU value: 79.6 name: IoU vineyard - type: IoU value: 72.3 name: IoU deciduous - type: IoU value: 63.1 name: IoU coniferous - type: IoU value: 31.3 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="display:inline-block; width:10px; hei...
Source context: 0 downloads · 0 likes · Pipeline image-segmentation · Library pytorch · Repo IGNF/FLAIR-HUB_LC-B_IR_swinbase-upernet
