Update README.md

README.md

@@ -95,6 +95,7 @@ pipeline_tag: image-segmentation
   <p>The general characteristics of this specific model <strong>FLAIR-INC_rgb_15cl_mitb5-unet</strong> are :</p>
   <ul style="list-style-type:disc;">
     <li>Trained with the FLAIR-INC dataset</li>
+    <li>Trained with the SegmentationModelsPytorch library</li>  
     <li>RGB images (true colours)</li>
     <li>U-Net with a mit-b5 encoder</li>
     <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
 - **Compute infrastructure:** 
     - software: python, pytorch-lightning
     - hardware: HPC/AI resources provided by GENCI-IDRIS
-- **License:** : Etalab 2.0
+- **License:** Etalab 2.0
 
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