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@@ -95,6 +95,7 @@ pipeline_tag: image-segmentation
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  <p>The general characteristics of this specific model <strong>FLAIR-INC_rgb_15cl_resnet34-unet</strong> are :</p>
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  <ul style="list-style-type:disc;">
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  <li>Trained with the FLAIR-INC dataset</li>
 
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  <li>RGB images (true colours)</li>
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  <li>U-Net with a Resnet-34 encoder</li>
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  <li>15 class nomenclature : [building, pervious surface, impervious surface, bare soil, water, coniferous, deciduous, brushwood, vineyard, herbaceous, agricultural land, plowed land, swimming pool, snow, greenhouse]</li>
@@ -108,7 +109,7 @@ pipeline_tag: image-segmentation
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  - **Compute infrastructure:**
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  - software: python, pytorch-lightning
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  - hardware: HPC/AI resources provided by GENCI-IDRIS
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- - **License:** : Etalab 2.0
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  ---
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  <p>The general characteristics of this specific model <strong>FLAIR-INC_rgb_15cl_resnet34-unet</strong> are :</p>
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  <ul style="list-style-type:disc;">
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  <li>Trained with the FLAIR-INC dataset</li>
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+ <li>Trained with the SegmentationModelsPytorch library</li>
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  <li>RGB images (true colours)</li>
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  <li>U-Net with a Resnet-34 encoder</li>
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  <li>15 class nomenclature : [building, pervious surface, impervious surface, bare soil, water, coniferous, deciduous, brushwood, vineyard, herbaceous, agricultural land, plowed land, swimming pool, snow, greenhouse]</li>
 
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  - **Compute infrastructure:**
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  - software: python, pytorch-lightning
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  - hardware: HPC/AI resources provided by GENCI-IDRIS
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+ - **License:** Etalab 2.0
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  ---
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