SpaceNet 7
The SpaceNet 7 Multi-Temporal Urban Development Challenge aims to help address this deficit and develop novel computer vision methods for non-video time series data.
In this challenge, participants will identify and track buildings in satellite imagery time series collected over rapidly urbanizing areas.
The competition centers around a new open source dataset of Planet satellite imagery mosaics, which includes 24 images (one per month) covering ~100 unique geographies.
Dataset ID | spacenet7 |
Creator | SpaceNet LLC |
Contact | https://spacenet.ai/contact-us/ |
Documentation
Tools & Applications
Publications
Citation
SpaceNet on Amazon Web Services (AWS). “Datasets.” The SpaceNet Catalog. Last modified April 30, 2018. Accessed on [Insert Date]. https://spacenetchallenge.github.io/datasets/datasetHomePage.html.
Python Client example
from radiant_mlhub import Dataset
ds = Dataset.fetch('spacenet7')
for c in ds.collections:
print(c.id)
Download Dataset
Source Imagery Collections
Description | SpaceNet 7 Training Source Imagery |
License | CC-BY-SA-4.0 |
Collection ID | sn7_train_source |
Download | |
Description | SpaceNet 7 Test Source Imagery |
License | CC-BY-SA-4.0 |
Collection ID | sn7_test_source |
Download | |
Labels Collections
Description | SpaceNet 7 Training Labels |
License | CC-BY-SA-4.0 |
Collection ID | sn7_train_labels |
Download | |
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