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--- |
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pretty_name: "CARD – Germany 2 Days" |
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license: cc-by-sa-4.0 |
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task_categories: |
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- depth-estimation |
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- object-detection |
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- autonomous-driving |
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tags: |
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- autonomous-driving |
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- depth |
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- stereo |
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- lidar |
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- computer-vision |
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size_categories: |
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- 100K<n<1M |
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--- |
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# CARD – Germany 2 Days |
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A comprehensive multi-modal driving dataset with stereo cameras, LiDAR, and depth annotations. |
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## Dataset Structure |
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This dataset contains 28 sequences across 1 region(s): |
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- **germany_2days**: 28 sequences |
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## Data Format |
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Each sequence contains: |
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- `img/`: Stereo camera images (cam_0, cam_1) |
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- `raw/`: Raw sensor data |
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- `labels/`: YOLO-format annotations |
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- `export/`: Trajectory and calibration data |
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- `agg_depth/`: Aggregated depth point clouds |
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## License and Usage Terms |
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The CARD – Germany 2 Days subset is the property of CARD-Data (© 2025 CARD-Data) and is licensed under CC BY-SA 4.0. Any public use, distribution, or display of this dataset must contain this entire notice. |
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We have taken reasonable measures to remove personally identifiable information (e.g., faces and license plates). To request removal of specific images from the dataset, please contact **privacy@card-dataset.org**. |
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The purpose of the CARD project is to help improve road safety. We encourage use of this dataset toward that goal; it is **not intended for military use**. |
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> Note: CC BY-SA 4.0 permits commercial use and requires derivatives to be shared under the same license. |
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## Development Kit |
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A development kit (CARD-SDK) with tools to get started is released separately and licensed under the MIT License. |
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## Citation |
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```bibtex |
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@dataset{card_germany_2days, |
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title = {{CARD} – Germany 2 Days}, |
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author = {{CARD-Data}}, |
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year = {2025} |
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} |
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``` |
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