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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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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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## Dataset Structure
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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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## 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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