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---
license: apache-2.0
pretty_name: StarCloud
size_categories:
- 1B<n<10B
viewer: false
---
# StarCloud
**StarCloud** is a GPU-generated synthetic starfield dataset representing a reconstruction of the Milky Way galaxy. It contains point cloud data of up to **1 billion stars**, each with spatial coordinates and RGB color values depending on the location of the star within the galaxy.
**1 Million Star 3D Demo:** https://starcloud.ruben-roy.com
---
## Dataset Overview
| File | Points | Approx. Size |
|-------------------|----------------|---------------|
| `galaxy_10K.ply` | 10,000 | ~0.4 MB |
| `galaxy_100K.ply` | 100,000 | ~4 MB |
| `galaxy_1M.ply` | 1,000,000 | ~38 MB |
| `galaxy_10M.ply` | 10,000,000 | ~382 MB |
| `galaxy_100M.ply` | 100,000,000 | ~3.82 GB |
| `galaxy_1B.ply` | 1,000,000,000 | ~38.2 GB |
Each file is stored in **PLY format** with 6 fields per point:
- `x, y, z` (spatial coordinates, `float32`)
- `r, g, b` (color values, `uint8`)
The dataset was generated using an **NVIDIA A100 40GB GPU** over the total span of 2 hours (for all files).
**DISCLAIMER:** The dataset was created entirely synthetically and no real astronomical data was used.
## Usage
Pandas:
```python
import pandas as pd
df = pd.read_csv("galaxy_1M.ply", comment="e", sep=" ", header=None)
df.columns = ["x", "y", "z", "r", "g", "b"]
print(df.head())
```
Open3D for visualization:
```python
import open3d as o3d
pcd = o3d.io.read_point_cloud("galaxy_1M.ply")
o3d.visualization.draw_geometries([pcd])
```
---
## Citation / Attribution
If you use this dataset in research or software, credit:
**Ruben Roy** – *StarCloud: A Large GPU-Generated Galaxy Point Cloud Dataset*
---
## License
The dataset is released under the **[Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0)**. Please refer to the license for usage rights and restrictions. |