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  ---
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  license: cc-by-nc-sa-4.0
 
 
 
 
 
 
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  ---
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  # OpenSatMap Dataset Card
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  ## Description
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  }
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  ```
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  ## Paper or resources for more information:
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- [Paper](https://arxiv.org/abs/2410.23278)
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- [Project](https://opensatmap.github.io/)
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  [Code]()
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  ## Intended use
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  ### Task 1: Instance-level Line Detection
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  The aim of this task is to extract road structures from satellite images at the instance level. For each instance, we use polylines as the vectorized representation and pixel-level masks as the rasterized representation.
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  ### Task 2: Satellite-enhanced Online Map Construction
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- We use satellite images to enhance online map construction for autonomous driving. Inputs are carema images of an autonomous vehicle and satellite images of the same area and outputs are vectorized map elements around the vehicle.
 
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  ---
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  license: cc-by-nc-sa-4.0
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+ language:
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+ - en
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+ tags:
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+ - OpenSatMap
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+ - Satellite
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+ pretty_name: a
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  ---
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  # OpenSatMap Dataset Card
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  ## Description
 
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  }
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  ```
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  ## Paper or resources for more information:
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+ [Paper](https://arxiv.org/abs/2410.23278),
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+ [Project](https://opensatmap.github.io/),
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  [Code]()
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  ## Intended use
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  ### Task 1: Instance-level Line Detection
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  The aim of this task is to extract road structures from satellite images at the instance level. For each instance, we use polylines as the vectorized representation and pixel-level masks as the rasterized representation.
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  ### Task 2: Satellite-enhanced Online Map Construction
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+ We use satellite images to enhance online map construction for autonomous driving. Inputs are carema images of an autonomous vehicle and satellite images of the same area and outputs are vectorized map elements around the vehicle.