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  language:
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  - en
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  - de
 
 
 
 
 
 
 
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  ---
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  # CITYLID: A large-scale categorized aerial Lidar dataset for street-level research
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@@ -11,17 +18,14 @@ language:
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  This repository is dedicated to providing categorized aerial Lidar datasets along with the methodology for data preparation.
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  Details regarding data preparation and usage are given in the [GitHub Repository](https://github.com/deepankverma/navigating_streetscapes)
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- ## Dataset Details
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  ### Dataset Description
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- - **License:** [More Information Needed]
 
 
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- ## Dataset Structure
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-
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- <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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-
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  ## Citation
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  language:
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  - en
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  - de
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+ tags:
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+ - code
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+ - aerial point-cloud
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+ - point-cloud classification
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+ - urban streetscapes
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+ - cross-sections
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+ pretty_name: CTLID
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  ---
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  # CITYLID: A large-scale categorized aerial Lidar dataset for street-level research
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  This repository is dedicated to providing categorized aerial Lidar datasets along with the methodology for data preparation.
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  Details regarding data preparation and usage are given in the [GitHub Repository](https://github.com/deepankverma/navigating_streetscapes)
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  ### Dataset Description
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+ The dataset covers the entire state of Berlin and is divided into 1060 tiles of 1 sq. km each. It comprises (a) [Point clouds](Lidar_point_clouds)
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+ and (b) [Raster image files providing solar radiation maps generated from the point clouds](solar_radiation_rasters). The details regarding the
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+ data preparation can be found in [GitHub Repository](https://github.com/deepankverma/navigating_streetscapes).
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  ## Citation
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