Download RAW data sources#
The INRIA dataset has been made from open and public domains data sources. Theses sources could be retrieved and used to reproduce the dataset, to script it creation and to improve it by :
Enabling the use of original vector data and so doing instance segmentation and not only image segmentation witk a building pixel mask.
Retrieving the data sources for the test area of the dataset who have not been redistributed during the initial challenge. These redistribution will enable to compare methodologies with the initial attended test data.
The area are located on two countries : United State of America and Austria. For the former vector data are retrieved from different towns or counties open-data portal. For the area in USA the raster data come from the USGS high resolution aerial image and could be downloaded with the EarthExplorer portal and machine to machine API.
If only the raw data sources link and metadata are needed see the following part on vector and data sources. For detail on how-to donwload data, mnaually or in script, see the link in the two following sections. And for a detailled step by step instructions to download and pre-process the data see Step by step instructions to download data by area
Download vector data sources#
Image (Raster) data sources#
Area Name |
Data source access |
dates |
location / bounding box |
|---|---|---|---|
Austin |
Site EarthExplorer portal. Collection : “high_res_ortho”. Dataset : 201112_austin_tx_6in_sp_cnir |
“2011-09-01”, “2012-09-01”] |
Austin, Texas; ll : [30.216, -97.790], ur : [30.2990, -97.6947] |
Bellingham |
Site EarthExplorer portal. Collection : “high_res_ortho”. Dataset : 200905_seattle-tacoma-olympia_wa_0x3000m_utm10_clr |
“2009-01-01”, “2012-01-01” |
Bellingham, Whatcom county, Washington; ll : [48.6976, -122.518], ur : [48.7925, -122.374] |
Bloomington |
Site EarthExplorer portal. Collection : “high_res_ortho”. Dataset : 201103_monroe_county_in_1ft_sp_cnir |
“2010-01-01”, “2012-01-01” |
Bloomington, Monroe county, Indiana; ll : [39.122, -86.607], ur : [39.2041, -86.4673] |
Chicago |
Site EarthExplorer portal. Collection : “high_res_ortho”. Dataset : 201203_cook_county_il_6in_sp_cnir |
“2011-01-01”, “2013-01-01” |
Chicago, Cook county, Illinois; ll : [41.824, -87.7298], ur : [41.9059, -87.6200] |
Innsbruck |
TODO |
TODO |
TODO |
Kitsap |
Site EarthExplorer portal. Collection : “high_res_ortho”. Dataset : 200905_seattle-tacoma-olympia_wa_0x3000m_utm10_clr |
“2009-01-01”, “2010-01-01” |
Port Orchard, kitsap county, Washington; ll : [47.4566, -122.7082], ur : [47.5788, -122.5880] |
sfo (san francisco) |
Site EarthExplorer portal. Collection : “high_res_ortho”. Dataset : 201104_san_francisco_ca_0x3000m_utm_clr |
“2010-01-01”, “2012-01-01” |
san francisco, san francisco county, California; ll : [37.7161, -122.4952], ur : [37.7979, -122.3921] |
Tyrol-e (Tyrol east) |
TODO |
TODO |
TODO |
Tyrol-w (Tyrol West) |
TODO |
TODO |
TODO |
Vienna |
TODO |
TODO |
TODO |
ll* is for lower left coordinates and ur for upper right coordinates.
To download data from EarthExplorer portal see the detailled instructions
Step by step instructions to download data by area#
Detailled step by step instructions to download and pre-process the data by area
Bellingham
Bloomington
Chicago
Innsbruck
Kitsap
sfo (san fransisco)
Tyrol-e (Tyrol east)
Tyrol-w (Tyrol West)
Vienna