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

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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:

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:

import open3d as o3d

pcd = o3d.io.read_point_cloud("galaxy_1M.ply")
o3d.visualization.draw_geometries([pcd])

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Citation / Attribution

If you use this dataset in research or software, credit:

Ruben Roy – StarCloud: A Large GPU-Generated Galaxy Point Cloud Dataset

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License

The dataset is released under the Apache 2.0 License. Please refer to the license for usage rights and restrictions.