Building Facade Parsing R-CNN.

• This dataset is created based on the Oxford RobotCar Dataset (https://robotcar-dataset.robots.ox.ac.uk/) and the Oxford Radar RobotCar Dataset (https://oxford-robotics-institute.github.io/radar-robotcar-dataset/). Specifically, it comes from 2019-01-18-14-14-42 Oxford Radar RobotCar Dataset.

• The train split contains 400 images, while the test split contains 100 images.

• There are 5 classes for semantic labels: { window, door, balcony, shop, facade }

• We also provide extra instance and panoptic labels.

• Palette:

  Class	RGB
  window	(255, 0, 0)
  door	(255, 128, 0)
  balcony	(128, 0, 255)
  shop	(0, 255, 0)
  facade	(255, 255, 0)

If you use this dataset in your research, please cite:

@misc{https://doi.org/10.48550/arxiv.2205.05912,
  doi = {10.48550/ARXIV.2205.05912},
  url = {https://arxiv.org/abs/2205.05912},
  author = {Wang, Sijie and Kang, Qiyu and She, Rui and Tay, Wee Peng and Navarro, Diego Navarro and Hartmannsgruber, Andreas},
  keywords = {Computer Vision and Pattern Recognition (cs.CV), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Building Facade Parsing R-CNN},
  publisher = {arXiv},
  year = {2022},
  copyright = {Creative Commons Attribution 4.0 International}
}

• Google Drive: https://drive.google.com/file/d/1ASDkxdjPd3xVMeFq9R3HrxtYZIQz_B5s/view?usp=sharing
• Microsoft OneDrive: https://entuedu-my.sharepoint.com/:u:/g/personal/wang1679_e_ntu_edu_sg/EQztd88hEpNPk-tqVlYCaSABDhvNabf1P-I7Wnegup8EzA?e=QEYNp0