Update README.md

README.md

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 # FLAIR model collection
 The FLAIR models are a collection of semantic segmentation models initially developed to classify land cover on very high resolution aerial images (more specifically the French [BD ORTHO®](https://geoservices.ign.fr/bdortho) product). 
 The distributed pre-trained models differ in their :
-* dataset for training : [**FLAIR** dataset] (https://huggingface.co/datasets/IGNF/FLAIR) or the increased version of this dataset **FLAIR-INC** (x 3.5 patches). Only the FLAIR version is open at the moment.
+* dataset for training : [**FLAIR** dataset] (https://huggingface.co/datasets/IGNF/FLAIR) or the increased version of this dataset **FLAIR-INC** (x 3.5 patches). Only the FLAIR dataset is open at the moment.
 * input modalities : **RGB** (natural colours), **RGBI** (natural colours + infrared), **RGBIE** (natural colours + infrared + elevation)
 * model architecture : **resnet34_unet** (U-Net with a Resnet-34 encoder), **deeplab**
 * target class nomenclature : **12cl** (12 land cover classes) or **15cl** (15 land cover classes) 
 
 
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 # FLAIR FLAIR-INC_RVBIE_resnet34_unet_15cl_norm model
 
 The general characteristics of this specific model **FLAIR-INC_RVBIE_resnet34_unet_15cl_norm** are :