---
dataset_info:
  features:
  - name: mask
    dtype: image
  - name: rgb
    dtype: image
  - name: nir
    dtype: image
  splits:
  - name: train
    num_bytes: 1793525480.3296545
    num_examples: 11355
  - name: test
    num_bytes: 199471314.24834555
    num_examples: 1262
  download_size: 1987272673
  dataset_size: 1992996794.578
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---


# Citation and Attribution

The annotation for the mask images in this dataset was created by correcting and processing the **Parking Reform Network (PRN)** data and **OpenStreetMap (OSM)** data to make it suitable for our task. These original datasets were adjusted to meet the specific requirements of our research.

If you use this dataset in your work, please cite the following:

```bibtex
@article{qiam2024,
  title={A Pipeline and NIR-Enhanced Dataset for Parking Lot Segmentation},
  author={Shirin Qiam and Saipraneeth Devunuri and Lewis J. Lehe},
  journal={arXiv preprint arXiv:2412.13179},
  year={2024},
  url={https://arxiv.org/pdf/2412.13179}
}
```

**Note: This citation will be updated with the final publication details once the paper is officially published.**