Spectro-polarimetric Dataset

We provide a spectro-polarimetric dataset. This dataset consists of full-Stokes images for both hyperspectral and trichromatic scenes. Hyperspectral dataset has 311 scenes and trichromatic dataset has 2022 scenes.

For more details, see our paper on Spectral and Polarization Vision: Spectro-polarimetric Real-world Dataset.

📦 Contents

• File Hierarchy
• Trichromatic Data Overview
• Hyperspectral Data Overview
• Labeling Information
• Citation
• Contact

💾 File Hierarchy

• 📂 trichromatic/: Trichromatic polarimetric dataset

  • 📂 original/: Data processed from captured raw files
    • 📄 0000.npy ~
  • 📂 denoised/: Data processed from denoised raw files
    • 📄 0000.npy ~
  • 📂 mask/: Masks for the scenes
    • 📄 0000.png ~
  • 📄 labeling_trichromatic.csv: Labeling each scene

• 📂 hyperspectral/: Hyperspectral polarimetric dataset

  • 📂 original/: Data processed from captured raw files
    • 📄 0000.npy ~
  • 📂 denoised/: Data processed from denoised raw files
    • 📄 0000.npy ~
  • 📂 mask/: Mask fors the scenes
    • 📄 0000.png ~
  • 📄 labeling_hyperspectral.csv: Labeling each scene

• 📄 README.md

📷 Trichromatic Data Overview

• original & denoised:

  • Format: Stokes numpy files (1900, 2100, 4, 3)
  • Dimensions:
    • R: Spatial dimension
    • C: Spatial dimension
    • s: Stokes axis (s0, s1, s2, s3)
    • c: Spectral axis (R G B)

• mask:

  • Binary mask images (1900, 2100)
  • Dimensions:
    • R: Spatial dimension
    • C: Spatial dimension

📷 Hyperspectral Data Overview

• original & denoised:

  • Format: Stokes numpy files (512, 612, 4, 21)
  • Dimensions:
    • R: Spatial dimension
    • C: Spatial dimension
    • s: Stokes axis (s0, s1, s2, s3)
    • c: Spectral axis (450nm ~ 650nm at 10nm intervals)

• mask:

  • Binary mask images (512, 612)
  • Dimensions:
    • R: Spatial dimension
    • C: Spatial dimension

🗂️ Labeling Information

• SceneNum: Indices of scenes (0 ~ 310 for hyperspectral, 0 ~ 2021 for trichromatic)
• Content: Type of content (scene, object)
• Timezone: Scene environment (indoor, day, night)
• Illumination: Illumination condition (white, yellow, sunny, cloudy)

📜 Citation

@misc{jeon2023spectral,
      title={Spectral and Polarization Vision: Spectro-polarimetric Real-world Dataset}, 
      author={Yujin Jeon and Eunsue Choi and Youngchan Kim and Yunseong Moon and Khalid Omer and Felix Heide and Seung-Hwan Baek},
      year={2023},
      eprint={2311.17396},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

📫 Contact

If you have any questions, please contact

• Yujin Jeon: jyj7913@postech.ac.kr
• Eunsue Choi: ches7283@postech.ac.kr
• Seung-hwan Baek: shwbaek@postech.ac.kr