---
license: cc-by-4.0
pretty_name: Real-world Polarimetric Environment Map Dataset
language:
  - en
tags:
  - computer-vision
  - computer-graphics
  - polarization
  - stokes
  - hdr
  - environment-map
  - image-based-lighting
size_categories:
  - n<1K
configs:
  - config_name: full_stokes
    data_files:
      - split: train
        path: full_stokes/metadata.csv
  - config_name: linear_stokes
    data_files:
      - split: train
        path: linear_stokes/metadata.csv
---

# Real-world Polarimetric Environment Map Dataset

A real-world dataset of full-sphere **HDR RGB polarization environment maps** at **2048 × 1024** resolution, with processed EXRs, RAW captures, calibration files and masks.

[Project page](https://yongheeoh.github.io/PolarimetricEnvironmentMap/) · [Code](https://github.com/yongheeoh/PolarimetricEnvironmentMap) · [Contact](mailto:dhdydgml1019@gmail.com)

## Collections

| Collection | Released scenes | Scene IDs | Measured components |
| --- | --- | --- | --- |
| `full_stokes` | 97: 30 indoor, 67 outdoor | 1–100 | S0, S1, S2, S3 |
| `linear_stokes` | 9: 4 indoor, 5 outdoor | 1–9 | S0, S1, S2 |

Linear S3 is **not measured**; stored zeros are placeholders (`s3_measured=false`). IDs are local to each collection. Full-Stokes scenes **74, 87 and 98** are withheld for privacy; their metadata rows have empty data paths. Contact the author for access inquiries.

## Folder structure

```text
{full_stokes,linear_stokes}/
  calibration/
  penvmap/{thetaphi,duff,s2l2}/{scene_id}.exr
  preview/{s0,s1n,s2n,s3n,aolpn}/{scene_id}.jpg
  mask/{saturation,privacy,invalid}/{scene_id}.png
  raw/{scene_id}/
  metadata.csv
load_scene.py
requirements.txt
README.md
LICENSE
SHA256SUMS
```

Metadata paths are relative to each collection directory. Use EXRs for numerical analysis; JPEGs are previews. In masks, 255 marks the condition and 0 means unflagged.

## Usage

From the dataset root:

```bash
pip install -r requirements.txt
python load_scene.py --root . --subset full_stokes --scene-id 1
python load_scene.py --root . --subset linear_stokes --scene-id 1
```

```python
from load_scene import load_scene

scene = load_scene(".", 1, subset="full_stokes")
stokes = scene["data"]  # float32, (1024, 2048, 3, 4): RGB × S0–S3
valid = ~(scene["saturation_mask"] | scene["privacy_mask"] | scene["invalid_mask"])
```

The default representation is `thetaphi`; use `representation="duff"` or `"s2l2"` to select another. S2L2 arrays have shape `(1024, 2048, 3, 12)`.

## License

Released dataset assets, including RAW, processed data and calibration, are licensed under **[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)**; see [LICENSE](LICENSE). Withheld data are excluded. Software licensing is separate.

## Citation

```bibtex
@inproceedings{oh2026penvmap,
  author    = {Oh, Yonghee and Maeda, Ryota and Moon, Yunseong and Baek, Seung-Hwan},
  title     = {Real-world Polarimetric Environment Map Dataset},
  booktitle = {SIGGRAPH Asia 2026 Conference Papers},
  year      = {2026},
  doi       = {10.1145/3829340.3842262}
}
```