👁 Website
👁 GitHub
👁 Hugging Face
👁 Follow on X

webXOS_galaxy_synthetic v1.0

 _______ ___ _______ _______ ___ _ __ __ _______ ___ _______ 
| _ || | | _ || || | | | | | | || || | | |
| |_| || | | |_| || || |_| | | |_| || _ || | | ___|
| || | | || || _| | || | | || | | |___ 
| _ | | |___ | || _|| |_ | || |_| || |___ | ___|
| |_| || || _ || |_ | _ | | _ || || || |___ 
|_______||_______||__| |__||_______||___| |_| |__| |__||_______||_______||_______|
 

webxOS Black Hole Time-Lapse Dataset

This dataset contains synthetic black hole renderings with gravitational lensing, generated by a Three.js simulation in webxOS. Each sample includes a time-lapse sequence of PNG images and associated physical parameters.

Structure

• images/: PNG frames named sample_X_frame_Y.png
• metadata.json: JSON array with per-frame entries including mass, pulse speed, virtual time, lensing samples, and image file name.

Usage

Ideal for multi-modal model training (image + parameter regression), physics-inspired ML, or satellite image study analogies.

Fields

• sample_id: int
• frame_id: int (time step)
• mass: gravitational lensing strength (0.05–0.5)
• pulse_speed: animation speed factor (0.2–2.5)
• virtual_time: simulated time in seconds
• image_file: relative path to PNG
• lensing_samples: array of 120 radial bending values (emulated)

Generated by webxOS Blackhole Generator. Download the app in the /generator/ folder to create your own similar datasets.

License

MIT

Citation

webXOS 2026