Datasets:
File size: 2,643 Bytes
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license: cc-by-nc-4.0
pretty_name: OmniRooms
task_categories:
- depth-estimation
- image-to-3d
tags:
- panorama
- depth
- synthetic
- indoor-scene
- 3d
- vla
size_categories:
- 100K<n<1M
---
# OmniRooms
OmniRooms is a synthetic indoor-scene dataset containing panoramic RGB renderings,
depth maps, sampled camera positions, and camera metadata. The repository keeps
the original file tree intact so downstream users can consume the data without a
lossy conversion step.
## Dataset Structure
The repository root mirrors the contents of the source `smx_sim/` directory:
```text
.
├── <scene_name>/
│ ├── Original/ # RGB panorama JPG files
│ └── Depth/ # HDF5 depth files
├── AIUE5_vol8_04/
│ ├── fov120*/
│ ├── fov130*/
│ └── fov130_fisheye*/ # Derived camera-view subsets and metadata
├── 30cm/ # sampled XYZ camera positions
└── original/ # original XYZ camera positions and processing script
```
Top-level scene folders include:
```text
AI_vol3_01, AI_vol3_02, AI_vol3_03, AI_vol3_04,
AI_vol4_01, AI_vol4_02, AI_vol4_03, AI_vol4_04, AI_vol4_05,
AIUE5_vol8_03, AIUE5_vol8_04, AIUE5_vol8_05,
AIUE_V01_001, AIUE_V01_003, AIUE_V01_004, AIUE_V02_001
```
## Files
The upload contains approximately 968 GiB of raw data:
| Extension | Count | Description |
| --- | ---: | --- |
| `.jpg` | 292,159 | RGB panoramic images and derived camera-view images |
| `.h5` | 271,020 | HDF5 depth maps |
| `.csv` | 64 | sampled/original XYZ positions and pose metadata |
| `.json` | 4 | camera intrinsics and transform metadata |
| `.png` | 32 | auxiliary image assets |
| `.py` | 1 | processing utility |
Total files: 563,280.
## Metadata Conventions
- `Original/Panoramagram*.jpg` stores RGB panorama frames.
- `Depth/Depth*.h5` stores depth data aligned with corresponding frame indices.
- `30cm/*.csv` stores sampled positions with `X`, `Y`, and `Z` columns.
- `original/*.csv` stores source positions before 30 cm sampling.
- `poses.csv` files store derived camera-view pose rows.
- `transforms.json` files store camera model, intrinsics, image resolution, and
per-frame transform matrices for derived camera-view subsets.
## License and Use
This dataset is released under CC BY-NC 4.0. It is intended for research and
non-commercial use. Users are responsible for complying with the license and
with any applicable restrictions from the underlying assets used to generate the
synthetic scenes.
## Citation
Citation information will be added when available.
## Acknowledgements
Prepared by Insta360 Research.
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