Datasets:

webxos
/

webXOS-blackhole-synthetic

license: mit
task: image-to-parameter
tags:
  - black-hole
  - gravitational-lensing
  - simulation
  - webxos
  - multi-modal
  - time-lapse
datasets:
  - webxOS/blackhole
task_categories:
  - image-to-text
  - image-classification
  - tabular-to-text
  - tabular-classification

webXOS_galaxy_synthetic v1.0

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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