| --- |
| license: cc-by-nc-4.0 |
| pretty_name: KoSim-GL |
| tags: |
| - uav |
| - geo-localization |
| - cross-view-retrieval |
| - simulation |
| --- |
| |
| # KoSim-GL |
|
|
| KoSim-GL is a benchmark for matching simulated UAV views to satellite imagery |
| in urban areas of Daejeon, Republic of Korea. The UAV images were generated |
| with an AirSim and ROS flight simulator. The satellite imagery was collected |
| through the Google Maps Tile API. See the [project repository](https://github.com/ahn-heejin/KoSim-GL) |
| and [paper](https://doi.org/10.3390/electronics15122720) for the collection |
| method and benchmark protocol. |
|
|
| ## Dataset contents |
|
|
| | Split | Locations | UAV images | Satellite images | |
| | --- | ---: | ---: | ---: | |
| | Train | 255 | 2,188,425 | 1,530 | |
| | Test | 29 | 261,890 | 174 | |
| | Train + test | 284 | 2,450,315 | 1,704 | |
|
|
| The archive also contains a `subset_eval` directory with 162 query UAV images |
| and 162 gallery satellite images. These 324 additional image entries are not |
| included in the train and test totals above. The archive also contains six |
| text metadata files and one Python counting script. |
|
|
| The full dataset is a 394,614,137,420-byte ZIP, distributed as ten consecutive |
| binary parts. It contains the train and test splits in a |
| University-1652-compatible layout. UAV views cover six altitude levels from |
| 100 to 600 m and five camera views (one nadir and four oblique). |
|
|
| ## Download and reconstruction |
|
|
| Download all ten files named `20261013_multi_sinsungdong_data_v2.zip.part01` |
| through `20261013_multi_sinsungdong_data_v2.zip.part10` from |
| [Files and versions](https://huggingface.co/datasets/hhhuugging/KoSim-GL/tree/main) |
| into one directory. Each part is 39,461,413,742 bytes. Use only the `v2` |
| parts and keep their names unchanged. Run this Python code from that directory |
| to restore the original ZIP: |
|
|
| ```python |
| from pathlib import Path |
| import hashlib |
| |
| base = "20261013_multi_sinsungdong_data_v2.zip" |
| digest = hashlib.sha256() |
| with Path("multi_sinsungdong_data.zip").open("xb") as output: |
| for number in range(1, 11): |
| with Path(f"{base}.part{number:02d}").open("rb") as source: |
| while block := source.read(16 * 1024 * 1024): |
| output.write(block) |
| digest.update(block) |
| |
| assert digest.hexdigest() == "c6a51312f03f001210cb58e675d050514bfbe596890ff6f66f1f128194d85840" |
| ``` |
|
|
| The SHA-256 above is for the original unsplit ZIP. Individual part checksums |
| are in the [machine-readable manifest](https://huggingface.co/datasets/hhhuugging/KoSim-GL/blob/main/20261013_KoSim-GL_virtual_parts_manifest_v3.json). |
| Reconstruction needs approximately 395 GB of free space in addition to the |
| downloaded parts. |
|
|
| ## Intended use |
|
|
| Research and evaluation of cross-view image retrieval and UAV |
| geo-localization. The [project repository](https://github.com/ahn-heejin/KoSim-GL) |
| lists the dataset license as Creative Commons Attribution-NonCommercial 4.0. |
|
|
| ## Citation |
|
|
| Ahn, H., Lee, C., Lee, S., Wi, H., Jang, I., and Choi, D.-G. |
| "KoSim-GL: A Large-Scale Simulation-Based Dataset for UAV Cross-View |
| Geo-Localization in Korean Urban Environments." *Electronics* 15(12), 2720 |
| (2026). [https://doi.org/10.3390/electronics15122720](https://doi.org/10.3390/electronics15122720) |
|
|
| ## Contact |
|
|
| For dataset questions, open an issue in the |
| [project repository](https://github.com/ahn-heejin/KoSim-GL/issues). |
|
|
