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license: cc-by-nc-4.0
---
# Koreatech-CGH
This dataset consists of RGBD–complex hologram pairs designed for training machine learning–based computer-generated holography (ML-CGH) models.
It can be used for tasks such as hologram generation, hologram upscaling, and related applications.
The holograms were generated using a layer-based hologram generation method[[arxiv](https://doi.org/10.48550/arXiv.2512.21040)].
Note that this dataset is licensed under the **Creative Commons Attribution 4.0 International License Non Commercial (CC BY-NC 4.0)**.
---
## Dataset Sample
|RGB|Depth|
|:-------------------------:|:-------------------------:|
|<img width="512" alt="RGB" src="rgb_1024.png">|<img width="512" alt="Depth" src="depth_1024.png">|
|Amplitude|Phase|
|:-------------------------:|:-------------------------:|
|<img width="512" alt="Amplitude" src="amplitude_1024.webp">|<img width="512" alt="Phase" src="phase_1024.webp">|
## Data Details
### Directory structure
```
root
├─test
│ ├─amp
│ └─*.exr
│ ├─depth
│ ├─img
│ └─phs
├─train
│ ├─amp
│ ├─depth
│ ├─img
│ └─phs
└─validation
├─amp
├─depth
├─img
└─phs
```
### Dataset Configuration
| | Format | Channels | Resolution | Precision | Range |
|-----------|--------|----------|------------|-----------|-------------------------|
| RGB | .exr | 3 | 1024 × 1024 | fp32 | 0-1 |
| Depth | .exr | 1 | 1024 × 1024 | fp32 | 0-1 |
| Amplitude | .exr | 3 | 1024 × 1024 | fp32 | dependent to data |
| Phase | .exr | 3 | 1024 × 1024 | fp32 | 0-1 |
### Hologram Parameters
| Parameter | Value |
|-----------------------------|-----------------------------------------|
| Resolution | 1024 × 1024 |
| Pixel Pitch | 3.6 μm |
| Wavelength (R,G,B) | 638 nm, 532 nm, 450 nm |
| Physical Extent (H × W × D) | 3.6864 mm × 3.6864 mm × 40.66723 mm |
### Data Splits
| Split | Number of Samples |
|-------------|-------------------|
| Train | 5,000 |
| Validation | 500 |
| Test | 500 |
---
### Source 3D Models
The RGB-D scenes were generated from 3D meshes obtained from the [Google Scanned Objects](https://research.google/blog/scanned-objects-by-google-research-a-dataset-of-3d-scanned-common-household-items/
).
---
# License
© 2025, SPIN Lab, Korea University of Technology and Education (KOREATECH) and Digital Holography Research Group, Electronics and Telecommunications Research Institute (ETRI)
This dataset is licensed under the **Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)** license.
You are free to use, modify, and distribute this work **for non-commercial purposes**, with proper attribution.
**Commercial use is strictly prohibited.**
See [LICENSE](./LICENSE.txt) and the [official CC BY-NC 4.0 license](https://creativecommons.org/licenses/by-nc/4.0/) for full terms.
For inquiries, please contact the corresponding author: **bluekdct@gmail.com**
---
## Acknowledgements
This work was supported by the National Research Foundation of Korea (NRF) through the Ministry of Education's Basic Science Research Program (Grant 2021R1I1A3048263, 50\%) and by the Institute of Information and Communications Technology Planning and Evaluation (IITP) grant funded by the Korea Government (MSIT) (Grant 2019-0-00001, 50\%).
---
## Citation
```
@misc{lee2025largedepthrangelayerbasedhologramdataset,
title={A Large-Depth-Range Layer-Based Hologram Dataset for Machine Learning-Based 3D Computer-Generated Holography},
author={Jaehong Lee and You Chan No and YoungWoo Kim and Duksu Kim},
year={2025},
eprint={2512.21040},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2512.21040},
}
```
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