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Update dataset card with task category, sample usage and citation
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by nielsr HF Staff - opened
README.md
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license: cc-by-nc-4.0
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---
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# Subsampled Point Clouds for the Woven Planet Dataset
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1. Download the downsampled point clouds compressed ZIP file
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2. Create a folder called `subsampled_lidar` under the main folder for the Woven Planet Dataset
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3. Extract the contents of the `subsampled_lidar.zip` file into the `subsampled_lidar` folder
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4. Enjoy!
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---
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license: cc-by-nc-4.0
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task_categories:
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- image-segmentation
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tags:
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- autonomous-driving
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- robotics
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---
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# Subsampled Point Clouds for the Woven Planet Dataset
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1. Download the downsampled point clouds compressed ZIP file
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2. Create a folder called `subsampled_lidar` under the main folder for the Woven Planet Dataset
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3. Extract the contents of the `subsampled_lidar.zip` file into the `subsampled_lidar` folder
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4. Enjoy!
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## Sample usage
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After setting up the environment according to the [GitHub repository](https://github.com/manueldiaz96/beval), you can test the setup and dataset loading by launching the following command:
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```bash
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conda activate beval
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python train_lift_splat.py --cfg=configs/lss_lyft_vehicle.yaml
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```
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## Citation
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```bibtex
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@inproceedings{beval,
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title={BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autononomous Driving},
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author={Diaz-Zapata, Manuel and Liu, Wenqian and Baruffa, Robin and Laugier, Christian},
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booktitle={Proceedings of the 18th International Conference on Control, Automation, Robotics and Vision (ICARCV)},
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pages={tbd},
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year={2024}
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}
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```
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