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https://github.com/SpaceNetChallenge/SpaceNet7_Multi-Temporal_Solutions

Last synced: 3 months ago
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Host: GitHub
URL: https://github.com/SpaceNetChallenge/SpaceNet7_Multi-Temporal_Solutions
Owner: SpaceNetChallenge
License: apache-2.0
Created: 2021-01-29T03:43:37.000Z (almost 4 years ago)
Default Branch: master
Last Pushed: 2021-01-29T15:54:36.000Z (almost 4 years ago)
Last Synced: 2024-07-23T04:36:03.902Z (4 months ago)
Language: Python
Size: 10.3 MB
Stars: 54
Watchers: 3
Forks: 22
Open Issues: 2
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

awesome-remote-sensing-change-detection - SpaceNetChallenge/SpaceNet7_Multi-Temporal_Solutions

README

The SpaceNet 7 Multi-temporal Urban Development Challenge

Winning Solutions

## Summary

The five subdirectories in this repository comprise the code for the winning solutions of SpaceNet 7 hosted by TopCoder. Each subdirectory contains the competitors' written descriptions of their solution to the challenge. See the blog post on CosmiQ Works' blog [The DownlinQ](?) for an additional summary. Baseline code can be found [here](https://github.com/CosmiQ/CosmiQ_SN7_Baseline).

Data is hosted on aws at:
```
s3://spacenet-dataset/spacenet/SN7_buildings/
```

Winning model weights are hosted at:
```
s3://spacenet-dataset/spacenet-model-weights/spacenet-7/
```

The winning solutions all use Docker, and assume SpaceNet 7 data is mounted in the `/data/` directory.

Performance of the algorithms on the SpaceNet 7 final test set is shown below:

![alt text](_figs/table1.png)

![alt text](_figs/scot_rate_plot.png)

---------

Questions about SpaceNet? Check out our website at [https://spacenet.ai](https://spacenet.ai).