This is a fork of the original repository at https://github.com/aws-samples/amazon-sagemaker-satellite-imagery-segmentation
# Deep Learning with Amazon SageMaker on Satellite Imagery

In this workshop, we will demonstrate how to train and host a semantic segmentation model with different deep learning models (DeepLab, UNet, and more) on a SpaceNet dataset to train a building segmentation model.

We will use the SpaceNet SN6: Multi-Sensor All-Weather Mapping dataset. The data is hosted on AWS as a [public dataset on Amazon S3](https://registry.opendata.aws/spacenet/). 

To get started open this [notebook](!./SpaceNet-SAR-Building-Segmentation.ipynb)

## Security

See [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information.

## License

This library is licensed under the MIT-0 License. See the [LICENSE](LICENSE) file.
The [NOTICE](THIRD-PARTY) includes third-party licenses used in this repository.