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

SpaceNet AOI 3 - Paris

Catalog ID: 1040010018805C00

Image Time: 2016-02-29T11:19:13Z

SpaceNet Simple Storage Service (S3) Directory Structure (AOI 3)

AOI_3_Paris
├── srcData/rasterData
│   ├── MUL            # Raw souce geotiffs of 8-Band Multi-Spectral raster data from WorldView-3
│   ├── MUL-PanSharpen # Raw souce geotiffs of 8-Band Multi-Spectral raster data pansharpened to 0.3m
│   ├── PAN            # Raw souce geotiffs of Panchromatic raster data from Worldview-3
│   └── RGB-PanSharpen # Raw souce geotiffs of RGB raster data from Worldview-3 pansharpened to 0.3m
│      
├── AOI_3_Paris_Train.tar.gz
│      ├── geojson
│      │   └── buildings  # Contains GeoJson labels of buildings for each tile
│      ├── MUL            # Contains Tiles of 8-Band Multi-Spectral raster data from WorldView-3
│      ├── MUL-PanSharpen # Contains Tiles of 8-Band Multi-Spectral raster data pansharpened to 0.3m
│      ├── PAN            # Contains Tiles of Panchromatic raster data from Worldview-3
│      ├── RGB-PanSharpen # Contains Tiles of RGB raster data from Worldview-3
│      └── summaryData    # Contains CSV with pixel based labels for each building in the Tile Set.
├── AOI_3_Paris_Test_Public.tar.gz
│      ├── MUL            # Contains Tiles of 8-Band Multi-Spectral raster data from WorldView-3
│      ├── MUL-PanSharpen # Contains Tiles of 8-Band Multi-Spectral raster data pansharpened to 0.3m
│      ├── PAN            # Contains Tiles of Panchromatic raster data from Worldview-3
│      └── RGB-PanSharpen # Contains Tiles of RGB raster data from Worldview-3
│
├── AOI_3_Paris_Roads_Train.tar.gz
│      ├── geojson
│      │   └── spacenetroads  # Contains GeoJson labels of Roads for each tile
│      ├── MUL                # Contains Tiles of 8-Band Multi-Spectral raster data from WorldView-3
│      ├── MUL-PanSharpen     # Contains Tiles of 8-Band Multi-Spectral raster data pansharpened to 0.3m
│      ├── PAN                # Contains Tiles of Panchromatic raster data from Worldview-3
│      ├── RGB-PanSharpen     # Contains Tiles of RGB raster data from Worldview-3
│      └── summaryData        # Contains CSV with pixel based labels for each road in the Tile Set.
└── AOI_3_Paris_Roads_Test_Public.tar.gz
       ├── MUL                # Contains Tiles of 8-Band Multi-Spectral raster data from WorldView-3
       ├── MUL-PanSharpen     # Contains Tiles of 8-Band Multi-Spectral raster data pansharpened to 0.3m
       ├── PAN                # Contains Tiles of Panchromatic raster data from Worldview-3
       └── RGB-PanSharpen     # Contains Tiles of RGB raster data from Worldview-3   

Download instructions

AOI 3 - Paris

To view the contents of the dataset

aws s3 ls s3://spacenet-dataset/AOI_3_Paris/ 

SpaceNet Roads Dataset

AOI 3 - Paris - Road Network Extraction Training

To download processed 400mx400m tiles of AOI 3 (5.6 GB) with associated building footprints for training do the following:

aws s3 cp s3://spacenet-dataset/SpaceNet_Roads_Competition/AOI_3_Paris_Roads_Train.tar.gz .

AOI 3 - Paris - Road Network Extraction Testing

To download processed 400mx400m tiles of AOI 3 (1.9 GB) for testing do:

aws s3 cp s3://spacenet-dataset/SpaceNet_Roads_Competition/AOI_3_Paris_Roads_Test_Public.tar.gz  .

SpaceNet Buildings Dataset

AOI 3 - Paris - Training - Building Extraction Training

To download processed 200mx200m tiles of AOI 3 (5.3 GB) with associated building footprints do the following:

aws s3 cp s3://spacenet-dataset/AOI_3_Paris/AOI_3_Paris_Train.tar.gz .

AOI 3 - Paris - Testing - Building Extraction Testing

To download processed 200mx200m tiles of AOI 3 (1.8 GB) for testing do:

aws s3 cp s3://spacenet-dataset/AOI_3_Paris/AOI_3_Paris_Test_public.tar.gz .