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@@ -91,7 +91,7 @@ pipeline_tag: image-segmentation
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  <br>
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  <div style="border:1px solid black; padding:25px; background-color:#FDFFF4 ; padding-top:10px; padding-bottom:1px;">
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- <h1>FLAIR-INC_rgbie_15cl_resnet34-unet</h1>
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  <p>The general characteristics of this specific model <strong>FLAIR-INC_rgbi_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>
@@ -119,7 +119,7 @@ The product called ([BD ORTHO®](https://geoservices.ign.fr/bdortho)) has its ow
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  Consequently, the model’s prediction would improve if the user images are similar to the original ones.
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  _**Radiometry of input images**_ :
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- The BD ORTHO input images are distributed in 8-bit encoding format per channel. When traning the model, input normalization was performed (see section **Trainingg Details**).
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  It is recommended that the user apply the same type of input normalization while inferring the model.
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  _**Multi-domain model**_ :
 
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  <br>
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  <div style="border:1px solid black; padding:25px; background-color:#FDFFF4 ; padding-top:10px; padding-bottom:1px;">
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+ <h1>FLAIR-INC_rgbi_15cl_resnet34-unet</h1>
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  <p>The general characteristics of this specific model <strong>FLAIR-INC_rgbi_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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  Consequently, the model’s prediction would improve if the user images are similar to the original ones.
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  _**Radiometry of input images**_ :
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+ The BD ORTHO input images are distributed in 8-bit encoding format per channel. When traning the model, input normalization was performed (see section **Training Details**).
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  It is recommended that the user apply the same type of input normalization while inferring the model.
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  _**Multi-domain model**_ :