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README.md
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## Uses
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The model was specifically trained for the **semantic segmentation of aerial lidar point clouds from the Lidar HD program (2020-2025)**.
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**_Aerial Lidar scene understanding_**: the model is designed for the segmentation of aerial lidar point clouds into 7 classes: other | ground | vegetation | building | water | bridge | permanent structure.
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While the model could be applied to other types of point clouds (mobile, terrestrial), aerial lidar scanning has specific geometric specifications (occlusions, homogeneous densities, variable scanner angle...).
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## Uses
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The model was specifically trained for the **semantic segmentation of aerial lidar point clouds from the [Lidar HD program (2020-2025)](https://geoservices.ign.fr/lidarhd)**.
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**_Aerial Lidar scene understanding_**: the model is designed for the segmentation of aerial lidar point clouds into 7 classes: other | ground | vegetation | building | water | bridge | permanent structure.
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While the model could be applied to other types of point clouds (mobile, terrestrial), aerial lidar scanning has specific geometric specifications (occlusions, homogeneous densities, variable scanner angle...).
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