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README.md
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# FLAIR model collection
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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).
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The distributed pre-trained models differ in their :
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* 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
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* input modalities : **RGB** (natural colours), **RGBI** (natural colours + infrared), **RGBIE** (natural colours + infrared + elevation)
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* model architecture : **resnet34_unet** (U-Net with a Resnet-34 encoder), **deeplab**
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* 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
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The general characteristics of this specific model **FLAIR-INC_RVBIE_resnet34_unet_15cl_norm** are :
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# FLAIR model collection
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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).
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The distributed pre-trained models differ in their :
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* 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.
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* input modalities : **RGB** (natural colours), **RGBI** (natural colours + infrared), **RGBIE** (natural colours + infrared + elevation)
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* model architecture : **resnet34_unet** (U-Net with a Resnet-34 encoder), **deeplab**
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* 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
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The general characteristics of this specific model **FLAIR-INC_RVBIE_resnet34_unet_15cl_norm** are :
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