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JTRNEO authored Aug 31, 2023
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# SyntheWorld
# SyntheWorld
### Overview
OpenEarthMap is a benchmark dataset for global high-resolution land cover mapping. OpenEarthMap consists of 5000 aerial and satellite images with manually annotated 8-class land cover labels and 2.2 million segments at a 0.25-0.5m ground sampling distance, covering 97 regions from 44 countries across 6 continents. OpenEarthMap fosters research including but not limited to semantic segmentation and domain adaptation. Land cover mapping models trained on OpenEarthMap generalize worldwide and can be used as off-the-shelf models in a variety of applications. Project Page: [https://open-earth-map.org/](https://open-earth-map.org/)

### Reference
```
@inproceedings{xia_2023_openearthmap,
title = {OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping},
author = {Junshi Xia and Naoto Yokoya and Bruno Adriano and Clifford Broni-Bediako},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
month = {January},
year = {2023}
}
```

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