IGNF
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FLAIR-INC_rgbie_15cl_resnet34-unet

Image Segmentation

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AGarioud commited on Feb 8

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 # 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 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 patch size)  .
 * 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)

 # 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 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)  .
 * 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)