Update README.md

README.md

@@ -77,8 +77,25 @@ model-index:
 pipeline_tag: image-segmentation
 ---
 
+# FLAIR model collection
+The FLAIR models is a collection of semantic segmentation models initially developed to classify land cover on very high resolution aerial ortho-images ([BD ORTHO®](https://geoservices.ign.fr/bdortho)). 
+The distributed pre-trained model differ in their :
+- input modalities : RVB (true colours), RVBI (true colours + infrared), RVBIE (true colours + infrared + elevation)
+- model architecture : U-Net with a Resnet-34 encoder, Deeplab
+- class nomenclature : 12 or 15 land cover classes
+- dataset for training : [FLAIR dataset](https://huggingface.co/datasets/IGNF/FLAIR) or the increased version of this dataset FLAIR-INC.
+
+
+# FLAIR FLAIR-INC_RVBIE_resnet34_unet_15cl_norm model
+The general characteristics of this specific model *FLAIR-INC_RVBIE_resnet34_unet_15cl_norm* are :
+* RVBIE images (true colours + infrared + elevation)
+* U-Net with a Resnet-34 encoder
+ 
+
+
+
+
 
-The FLAIR models is a collection of semantic segmentation models developed to classify very high resolution aerial ortho-images ([BD ORTHO®](https://geoservices.ign.fr/bdortho)).
 
 
 Lorem ipsum dolor sit amet. Hic galisum tenetur et perspiciatis odit et aliquid perferendis ut galisum quisquam. 
@@ -119,6 +136,8 @@ Ab maiores tempore 33 deleniti ipsam a molestiae dolor eos optio optio aut perfe
 
 {{ bias_risks_limitations | default("[More Information Needed]", true)}}
 
+
+
 ### Recommendations
 
 <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->