hi SpaceNet Roads Dataset | SpaceNet on AWS
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The SpaceNet Roads Dataset

The Problem

The commercialization of the geospatial industry has led to an explosive amount of data being collected to characterize our changing planet. One area for innovation is the application of computer vision and deep learning to extract information from satellite imagery at scale. CosmiQ Works, Radiant Solutions and NVIDIA have partnered to release the SpaceNet data set to the public to enable developers and data scientists to work with this data.

Today, map features such as roads, building footprints, and points of interest are primarily created through manual techniques. We believe that advancing automated feature extraction techniques will serve important downstream uses of map data including humanitarian and disaster response, as observed by the need to map road networks during the response to recent flooding in Bangladesh and Hurricane Maria in Puerto Rico. Furthermore, we think that solving this challenge is an important stepping stone to unleashing the power of advanced computer vision algorithms applied to a variety of remote sensing data applications in both the public and private sector.

The Data - Over 8000 Km of roads across the four SpaceNet Areas of Interest.

See the labeling guide and schema for details about the creation of the dataset

AOI Area of Raster (Sq. Km) Road Centerlines (LineString)
AOI_2_Vegas 216 3685 km
AOI_3_Paris 1,030 425 km
AOI_4_Shanghai 1,000 3537 km
AOI_5_Khartoum 765 1030 km

Road Type Breakdown (km of Road)

Road Type AOI_2_Vegas AOI_3_Paris AOI_4_Shanghai AOI_5_Khartoum Total
Motorway 115 9 102 13 240
Primary 365 14 192 98 669
Secondary 417 58 501 66 1042
Tertiary 3 11 34 68 115
Residential 1646 232 939 485 3301
Unclassified 1138 95 1751 165 3149
Cart track 2 6 19 135 162
Total 3685 425 3537.9 1030 8677

Catalog

The data is hosted on AWS in a requester pays bucket.

aws s3 ls s3://spacenet-dataset/SpaceNet_Roads_Competition/ --request-payer requester

Sample Data

10 Samples from each AOI - Road Network Extraction Samples

To download processed 400mx400m tiles of AOI 2 (728.8 MB) with associated road centerlines for training do the following:

aws s3api get-object --bucket spacenet-dataset --key SpaceNet_Roads_Competition/SpaceNet_Roads_Sample.tar.gz --request-payer requester SpaceNet_Roads_Sample.tar.gz

Training Data

AOI 2 - Vegas - Road Network Extraction Training

To download processed 400mx400m tiles of AOI 2 (25 GB) with associated road centerlines for training do the following:

aws s3api get-object --bucket spacenet-dataset --key SpaceNet_Roads_Competition/AOI_2_Vegas_Roads_Train.tar.gz --request-payer requester AOI_2_Vegas_Roads_Train.tar.gz

AOI 3 - Paris - Road Network Extraction Training

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

aws s3api get-object --bucket spacenet-dataset --key SpaceNet_Roads_Competition/AOI_3_Paris_Roads_Train.tar.gz --request-payer requester AOI_3_Paris_Roads_Train.tar.gz

AOI 4 - Shanghai - Road Network Extraction Training

To download processed 400mx400m tiles of AOI 4 (25 GB) with associated road centerlines for training do the following:

aws s3api get-object --bucket spacenet-dataset --key SpaceNet_Roads_Competition/AOI_4_Shanghai_Roads_Train.tar.gz --request-payer requester AOI_4_Shanghai_Roads_Train.tar.gz

AOI 5 - Khartoum - Road Network Extraction Training

To download processed 400mx400m tiles of AOI 5 (25 GB) with associated road centerlines for training do the following:

aws s3api get-object --bucket spacenet-dataset --key SpaceNet_Roads_Competition/AOI_5_Khartoum_Roads_Train.tar.gz --request-payer requester AOI_5_Khartoum_Roads_Train.tar.gz

Test Data

AOI 2 - Vegas - Road Network Extraction Testing

To download processed 400mx400m tiles of AOI 2 (8.1 GB) for testing do:

aws s3api get-object --bucket spacenet-dataset --key SpaceNet_Roads_Competition/AOI_2_Vegas_Roads_Test_Public.tar.gz --request-payer requester AOI_2_Vegas_Roads_Test_Public.tar.gz

AOI 3 - Paris - Road Network Extraction Testing

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

aws s3api get-object --bucket spacenet-dataset --key SpaceNet_Roads_Competition/AOI_3_Paris_Roads_Test_Public.tar.gz --request-payer requester AOI_3_Paris_Roads_Test_Public.tar.gz

AOI 4 - Shanghai - Road Network Extraction Testing

To download processed 400mx400m tiles of AOI 4 (8.1 GB) for testing do:

aws s3api get-object --bucket spacenet-dataset --key SpaceNet_Roads_Competition/AOI_4_Shanghai_Roads_Test_Public.tar.gz --request-payer requester AOI_4_Shanghai_Roads_Test_Public.tar.gz

AOI 5 - Khartoum - Road Network Extraction Testing

To download processed 400mx400m tiles of AOI 5 (8.1 GB) for testing do:

aws s3api get-object --bucket spacenet-dataset --key SpaceNet_Roads_Competition/AOI_5_Khartoum_Roads_Test_Public.tar.gz --request-payer requester AOI_5_Khartoum_Roads_Test_Public.tar.gz

The Metric

In the SpaceNet Roads Challenge, the metric for ranking entries is the APLS metric. This metric is based on graph theory and empahsizes the creation of a valid road network

The current version of the metric is open sourced on github: Average Path Length Similarity (APLS) metric For more information read the SpaceNet Road Detection and Routing Challenge Series, Part 1, and Part 2, written by Adam Van Etten at The DownlinQ.

For more information read the full article written by Adam Van Etten at The DownlinQ.

Competition Updates:

Pre-Register for the competition now. Pre-Register Here

Check out CosmiQ Work’s Blog, The DownLinQ or follow the SpaceNetUtilities Github Page

For previous SpaceNet Competitions see the Round 2 Site

License

Creative Commons License
The SpaceNet Dataset by SpaceNet Partners is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.