/RSI-Segmentation

Semantic Segmentation for Remote Sensing Images;Officail Repo for the EarthNets Platform. https://arxiv.org/pdf/2210.04936.pdf

Primary LanguagePythonMIT LicenseMIT

RSI-Segmentation

segmentation

Changelog

Initial version.

Benchmark and model zoo

Results and models are available in the [model zoo].

Supported datasets:

Continually updating

Supported backbones:

Supported methods:

Installation

Please refer to get_started.md for installation and dataset_prepare.md for dataset preparation.

Get Started

Please see train.md and inference.md for the basic usage. There are also tutorials for customizing dataset, designing data pipeline, customizing modules, and customizing runtime. We also provide many training tricks for better training and useful tools for deployment.

A Colab tutorial is also provided. You may preview the notebook here or directly run on Colab.

Please refer to FAQ for frequently asked questions.

Contributing

We appreciate all contributions. Please refer to CONTRIBUTING.md for the contributing guideline.

Acknowledgement

We thank openMMlab for the open-source libraries with excellent features.

Projects in EarthNets

  • Dataset4EO: Datasets downloading and loading for Remote sensing community.

Citation

If you find this project useful in your research, please consider cite:

@article{earthnets4eo,
    title={EarthNets: Empowering AI in Earth Observation},
    author={Zhitong Xiong, Fahong Zhang, Yi Wang, Yilei Shi, Xiao Xiang Zhu},
    journal = {arXiv:2210.04936},
    year={2022}
}

License

This project is released under the Apache 2.0 license.