We provide different datasets for downloading. See below for a more detailed description of each dataset. You can also have a look at the full data repository.
This dataset contains shapes that are ready to use in the HOT Tasking Manager. Currently, the geometries consist of maximum 15 MapSwipe Tasks, where at least one user indicated the presence of a building. The filter criteria and size of the tasks can be adapted on request. Download sample data.
This dataset contains all results where at least one mapswipe user submitted a yes or maybe classification. The output dataset depicts the union of all selected results. Download sample data.
This dataset contains all results where at least one mapswipe user submitted a bad_image classification and no other classifications are more frequently submitted. The output dataset depicts the union of all selected results. Download sample data.
Raw Result contain information on MapSwipe Tasks where at least one user submitted a results. If there are several results per task by different users, the individual results are aggregated. For each task a yes_count, maybe_count and bad_imagery_count is provided. However, there isn't a no_building_count per task. Download sample data.
This dataset contains all results and additional information for each task. For example we provide information on agreement, the size (in square meters) and perimeter (in meter) for each task. You might also have a look at our geoserver for more information.Download sample data.
This dataset contains a subset of all results and additional information for each task. For this dataset we applied the following filter: yes_count >= 2. Thus, only tasks are selected, for which at least two users chose "yes". You can find out more about CQL-Filters here. Download sample data.
This work has kindly been supported by the Klaus Tschira Foundation (KTS) Heidelberg in the context of establishing the Heidelberg Institute for Geoinformation Technology (HeiGIT).