- An OpenStreetMap derived building classification dataset ...🔍
- An OpenStreetMap derived building classification dataset for the ...🔍
- An OpenStreetMap|Based Dataset of Building Footprints for ...🔍
- Henrique Ferraz de Arruda on LinkedIn🔍
- Extracting the U.S. building types from OpenStreetMap data🔍
- Predicting building types using OpenStreetMap🔍
- OSM|Building|Classification🔍
- OpenStreetMap Buildings for North America🔍
An OpenStreetMap derived building classification dataset ...
An OpenStreetMap derived building classification dataset ... - Nature
In addition to the building classifications, this dataset includes detailed information on the OpenStreetMap data used in the classification ...
An OpenStreetMap derived building classification dataset ... - PubMed
The dataset is validated using authoritative ground truth data for select counties in the U.S., which shows a high precision for non-residential ...
An OpenStreetMap derived building classification dataset for the ...
The dataset is validated using authoritative ground truth data for select counties in the U.S., which shows a high precision for non-residential ...
(PDF) An OpenStreetMap derived building classification dataset for ...
In addition to the building classifications, this dataset includes detailed information on the OpenStreetMap data used in the classification ...
An OpenStreetMap-Based Dataset of Building Footprints for ...
Abstract: We present a dataset consisting of OpenStreetMap imagery and corresponding building footprint labels. Multiple label sets are provided, ...
Henrique Ferraz de Arruda on LinkedIn: An OpenStreetMap derived ...
New publication in Scientific Data! "An OpenStreetMap derived building classification dataset for the United States" I'm excited to share ...
Extracting the U.S. building types from OpenStreetMap data - arXiv
We identified various approaches to improving the quality of the classification, such as removing sheds and garages from the dataset.
Predicting building types using OpenStreetMap | Scientific Reports
While volunteered geographic information from sources such as OpenStreetMap (OSM) has good building geometry coverage, descriptive attributes ...
OSM-Building-Classification - OSF
This dataset provides a comprehensive dataset with the classification of 67,705,475 buildings across the United States into residential and non- ...
OpenStreetMap Buildings for North America - ArcGIS Online
These features are identified with a building tag. There are thousands of different tag values for building used in the OSM database. In this ...
An OpenStreetMap derived building classification dataset for ... - YYiki
An OpenStreetMap derived building classification dataset for the United States. https://www.nature.com/articles/s41597-024-04046-w; Henrique F. de Arruda, ...
osm_buildings_streets — eGo^N Data 0.0.0 documentation
This dataset on buildings and amenities is required by several tasks in the pipeline, such as the distribution of household demand profiles or PV home systems ...
Scheme of the building classification methodology. The OSM data is...
Download scientific diagram | Scheme of the building classification methodology. The OSM data is obtained in two separate data types: the building ...
Building extraction based on OpenStreetMap tags and very high ...
How to derive contour of buildings from VHR images is the essential problem for automatic building extraction in urban area. To solve this problem, OSM data ...
Buildings derived from OpenstreetMap, December 2019 - Datasets
The dataset is a polygon layer with all types of buildings divided to the main categories. Data was extracted from openstreetmap project in December 2019.
2022: Innovating on derivative OpenStreetMap datasets - YouTube
https://media.ccc.de/v/sotm2022-18481-innovating-on-derivative-openstreetmap-datasets OpenStreetMap consists of tagged nodes, ...
Providing your data to OpenStreetMap
However, although mixing data has this stipulation (a 'Derivative Database'), independently overlaying different datasets does not (a 'Collective Database').
Open Buildings - Google Research
This large-scale open dataset contains the outlines of buildings derived from high-resolution satellite imagery in order to support these types of uses.
Building Large Network Datasets from OpenStreetMap in ArcGIS?
For reference the dataset I used was an OSM extract for all of California. It is 11GB of xml. It took me 4.5 days to turn that into feature ...
Summary report of the methodological improvement of the Urban ...
... dataset, the Danish national urban dataset was used to evaluate how many buildings derived from the OSM dataset and were classified as commercial and.