From 76417182962d8d8e497e916ca7686fdd57d81ed2 Mon Sep 17 00:00:00 2001 From: dlindenbaum Date: Wed, 27 Dec 2017 11:20:12 -0500 Subject: [PATCH 1/2] Update Readme to redirect to website --- content/download_instructions/README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/content/download_instructions/README.md b/content/download_instructions/README.md index 14aac15..6b1bb0d 100644 --- a/content/download_instructions/README.md +++ b/content/download_instructions/README.md @@ -1,5 +1,7 @@ ## Hosting -[SpaceNet](https://aws.amazon.com/public-datasets/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](https://aws.amazon.com/public-datasets/). +[SpaceNet](https://spacenetchallenge.github.io/) 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](https://aws.amazon.com/public-datasets/spacenet/). + +For additonal information about the datasets visit the [SpaceNet Challenge Website](https://spacenetchallenge.github.io/) ## Catalog 1. Area of Interest 1 (AOI 1) - Location: Rio de Janeiro. 50cm imagery collected from DigitalGlobe’s [WorldView-2 satellite](http://satimagingcorp.s3.amazonaws.com/site/pdf/WorldView-2_datasheet.pdf). The dataset includes building footprints and 8-band multispectral data. From 03919c163c8220b786c780dc8d486d333a58de80 Mon Sep 17 00:00:00 2001 From: dlindenbaum Date: Wed, 27 Dec 2017 11:28:22 -0500 Subject: [PATCH 2/2] Update README.md --- content/download_instructions/README.md | 103 +----------------------- 1 file changed, 4 insertions(+), 99 deletions(-) diff --git a/content/download_instructions/README.md b/content/download_instructions/README.md index 6b1bb0d..e798a58 100644 --- a/content/download_instructions/README.md +++ b/content/download_instructions/README.md @@ -14,108 +14,13 @@ For additonal information about the datasets visit the [SpaceNet Challenge Websi ## Dependencies The [AWS Command Line Interface (CLI)](https://aws.amazon.com/cli/) must be installed with an active AWS account. Configure the AWS CLI using 'aws configure' +## [The SpaceNet Roads Dataset](https://spacenetchallenge.github.io/datasets/spacenetRoads_summary.html) +Visit the [SpaceNet Roads Dataset website](https://spacenetchallenge.github.io/datasets/spacenetRoads_summary.html) for additional information about the dataset including instructions on how to access and download the data. -## SpaceNet Simple Storage Service (S3) Directory Structure (AOI 1) -``` -s3://spacenet-dataset/ --- AOI_1_Rio - |-- processedData - | -- processedBuildingLabels.tar.gz # Compressed 3band and 8band 200m x 200m tiles with associated building foot print labels # This dataset is the Training Dataset for the first Top Coder Competition - `-- srcData - |-- rasterData - | |-- 3-Band.tar.gz # 3band (RGB) Raster Mosaic for Rio De Jenairo area (2784 sq KM) collected by WorldView-2 - | -- 8-Band.tar.gz # 8band Raster Mosaic for Rio De Jenairo area (2784 sq KM) collected by WorldView-2 - -- vectorData - |-- Rio_BuildingLabels.tar.gz # Source Dataset that contains Building the building foot prints traced from the Mosaic - |-- Rio_HGIS_Metro.gdb.tar.gz # Source Point of Interest Dataset in GeoDatabase Format. Best if Used with ESRI - -- Rio_HGIS_Metro_extract.tar # Source Point of Interest Dataset in GeoJSON with associated .jpg. Easy to Use without ESRI toolset --- AOI_1_Rio - |-- processedData - | -- processedBuildingLabels.tar.gz # Compressed 3band and 8band 200m x 200m tiles with associated building foot print labels # This dataset is the Training Dataset for the first Top Coder Competition - `-- srcData - |-- rasterData - | |-- 3-Band.tar.gz # 3band (RGB) Raster Mosaic for Rio De Jenairo area (2784 sq KM) collected by WorldView-2 - | -- 8-Band.tar.gz # 8band Raster Mosaic for Rio De Jenairo area (2784 sq KM) collected by WorldView-2 - -- vectorData - |-- Rio_BuildingLabels.tar.gz # Source Dataset that contains Building the building foot prints traced from the Mosaic - |-- Rio_HGIS_Metro.gdb.tar.gz # Source Point of Interest Dataset in GeoDatabase Format. Best if Used with ESRI - -- Rio_HGIS_Metro_extract.tar # Source Point of Interest Dataset in GeoJSON with associated .jpg. Easy to Use without ESRI toolset --- AOI_1_Rio - |-- processedData - | -- processedBuildingLabels.tar.gz # Compressed 3band and 8band 200m x 200m tiles with associated building foot print labels # This dataset is the Training Dataset for the first Top Coder Competition - `-- srcData - |-- rasterData - | |-- 3-Band.tar.gz # 3band (RGB) Raster Mosaic for Rio De Jenairo area (2784 sq KM) collected by WorldView-2 - | -- 8-Band.tar.gz # 8band Raster Mosaic for Rio De Jenairo area (2784 sq KM) collected by WorldView-2 - -- vectorData - |-- Rio_BuildingLabels.tar.gz # Source Dataset that contains Building the building foot prints traced from the Mosaic - |-- Rio_HGIS_Metro.gdb.tar.gz # Source Point of Interest Dataset in GeoDatabase Format. Best if Used with ESRI - -- Rio_HGIS_Metro_extract.tar # Source Point of Interest Dataset in GeoJSON with associated .jpg. Easy to Use without ESRI toolset -``` -## SpaceNet Simple Storage Service (S3) Directory Structure (AOI 2-5) -``` -├── AOI_[Num]_[City]_Train -│ ├── 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. -``` +## [The SpaceNet Catalog](https://spacenetchallenge.github.io/datasets/datasetHomePage.html) +Visit the [SpaceNet Data Corpus website](https://spacenetchallenge.github.io/datasets/spacenetRoads_summary.html) for additional information about all SpaceNet datasets including instructions on how to access and download the data. -## Download instructions - -### AOI 1 - Rio de Janeiro -To download processed 200mx200m tiles of AOI 1 (3.4 GB) with associated building footprints do the following: -``` -aws s3api get-object --bucket spacenet-dataset --key AOI_1_Rio/processedData/processedBuildingLabels.tar.gz --request-payer requester processedBuildingLabels.tar.gz -``` -To download the Source Imagery Mosaic (3-band = 2.3 GB and 8-band = 6.5 GB): -``` -aws s3api get-object --bucket spacenet-dataset --key AOI_1_Rio/srcData/rasterData/3-Band.tar.gz --request-payer requester 3-Band.tar.gz -aws s3api get-object --bucket spacenet-dataset --key AOI_1_Rio/srcData/rasterData/8-Band.tar.gz --request-payer requester 8-Band.tar.gz -``` -To download the Source Vector Data (0.18 GB): -``` -aws s3api get-object --bucket spacenet-dataset --key AOI_1_Rio/srcData/vectorData/Rio_BuildingLabels.tar.gz --request-payer requester Rio_BuildingLabels.tar.gz -``` - -### AOI 2 - Vegas -To download processed 200mx200m tiles of AOI 2 (23 GB) with associated building footprints do the following: -``` -aws s3api get-object --bucket spacenet-dataset --key AOI_2_Vegas/AOI_2_Vegas_Train.tar.gz --request-payer requester AOI_2_Vegas_Train.tar.gz -``` - -### AOI 3 - Paris -To download processed 200mx200m tiles of AOI 3 (5 GB) with associated building footprints do the following: -``` -## Warning this file is 5 GB -aws s3api get-object --bucket spacenet-dataset --key AOI_3_Paris/AOI_3_Paris_Train.tar.gz --request-payer requester AOI_3_Paris_Train.tar.gz -``` - -### AOI 4 - Shanghai -To download processed 200mx200m tiles of AOI 4 (23 GB) with associated building footprints do the following: -``` -aws s3api get-object --bucket spacenet-dataset --key AOI_4_Shanghai/AOI_4_Shanghai_Train.tar.gz --request-payer requester AOI_4_Shanghai_Train.tar.gz -``` - -### AOI 5 - Khartoum -To download processed 200mx200m tiles of AOI 5 (4 GB) with associated building footprints do the following: -``` -aws s3api get-object --bucket spacenet-dataset --key AOI_5_Khartoum/AOI_5_Khartoum_Train.tar.gz --request-payer requester AOI_5_Khartoum_Train.tar.gz -``` - -### Point of Interest Dataset in ESRI GeoDatabase Form (31 GB) -``` -aws s3api get-object --bucket spacenet-dataset --key AOI_1_Rio/srcData/vectorData/Rio_HGIS_Metro.gdb.tar.gz --request-payer requester Rio_HGIS_Metro.gdb.tar.gz -``` - -### Point of Interest Dataset Extracted into GeoJSONs with associated .jpg (29 GB) -``` -aws s3api get-object --bucket spacenet-dataset --key AOI_1_Rio/srcData/vectorData/Rio_HGIS_Metro_extract.tar --request-payer requester Rio_HGIS_Metro_extract.tar -```