SpaceNet: Accelerating geospatial machine learning Areas of Interest | SpaceNet on AWS
AOI 1 Rio AOI 2 Las Vegas AOI 3 Paris AOI 4 Shanghai AOI 5 Khartoum AOI 6 Atlanta

Hosting

SpaceNet is a corpus of commercial satellite imagery and labeled training data to use for machine learning research. The dataset is currently hosted as an Amazon Web Services (AWS) Public Dataset.

SpaceNet offers

Catalog

  1. Area of Interest 1 (AOI 1) - Location: Rio de Janeiro. 50cm imagery collected from DigitalGlobe’s WorldView-2 satellite. The dataset includes building footprints and 8-band multispectral data.
  2. Area of Interest 2 (AOI 2) - Location: Vegas. 30cm imagery collected from DigitalGlobe’s WorldView-3 satellite. The dataset includes building footprints and 8-band multispectral data.
  3. Area of Interest 3 (AOI 3) - Location: Paris. 30cm imagery collected from DigitalGlobe’s WorldView-3 satellite. The dataset includes building footprints and 8-band multispectral data.
  4. Area of Interest 4 (AOI 4) - Location: Shanghai. 30cm imagery collected from DigitalGlobe’s WorldView-3 satellite. The dataset includes building footprints and 8-band multispectral data.
  5. Area of Interest 5 (AOI 5) - Location: Khartoum. 30cm imagery collected from DigitalGlobe’s WorldView-3 satellite. The dataset includes building footprints and 8-band multispectral data.
  6. Area of Interest 6 (AOI 6) - Location: Atlanta 27 50cm images collected from DigitalGlobes’ WorldView-2 satellite. The dataset includes building footprints and 8-band multi-spectral data
AOI Area of Raster (Sq. Km) Building Labels (Polygons) Road Labels (LineString)
AOI_1_Rio 2,544 4,082,529 N/A
AOI_2_Vegas 216 151,367 3685 km
AOI_3_Paris 1,030 23,816 425 km
AOI_4_Shanghai 1,000 92,015 3537 km
AOI_5_Khartoum 765 710,960 1030 km
AOI_6_Atlanta 655 x 27 126,747 3000 km

Dependencies

The AWS Command Line Interface (CLI) must be installed with an active AWS account. Configure the AWS CLI using ‘aws configure’

aws s3 ls s3://spacenet-dataset/