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@@ -104,7 +104,7 @@ Therefore, the model is best optimized for aerial lidar point clouds with simila
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  ## Bias, Risks, Limitations and Recommendations
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- **_Spatial Generalization_**: The FRACTAL dataset used for training covers 5 spatial domains from 5 southern regions of metropolitan France,
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  While large and diverse, the dataset covers only a fraction of the French territory, and are not representative of its full diversity (landscapes, hardscapes, human-made objects...).
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  Adequate verifications and evaluations should be done when applied to new spatial domains.
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  ## Bias, Risks, Limitations and Recommendations
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+ **_Spatial Generalization_**: The FRACTAL dataset used for training covers 5 spatial domains from 5 southern regions of metropolitan France.
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  While large and diverse, the dataset covers only a fraction of the French territory, and are not representative of its full diversity (landscapes, hardscapes, human-made objects...).
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  Adequate verifications and evaluations should be done when applied to new spatial domains.
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