STARDUST

Photorealistic, multi-modal synthetic data, in minutes

Describe a scenario and Stardust renders it: diverse, labeled, photorealistic data with rich time-series metadata. Generate in minutes what a fleet collects in months.

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scene.ipynb
import bbi world = bbi.World()world.spawn("container_ship", quantity=12)world.spawn("buoy", quantity=30, scatter=True) world.ocean(sea_state=4)world.weather(fog=0.3, time="dusk")cam = world.camera(preset="maritime_eo") imgs = world.render(frames=4000)imgs.download(annotations=["bbox", "segmentation"])

Real data alone will not get you there

// real data today

  • ✕Real data is slow and expensive to collect and label
  • ✕The long tail is missing: rare, dangerous, and edge-case scenarios never make the dataset
  • ✕Sensor coverage is fixed to whatever hardware you flew, so you cannot test what you did not capture
SENSORS & LABELS

Multi-domain, photorealistic data matching your operational requirements

One scene, rendered across modalities in perfect registration, with ground-truth labels generated automatically for every frame.

RGBPhotorealistic visible spectrum
IRInfrared and thermal bands
DEPTHPer-pixel depth and range
SEGMENTATION + BBOXESPixel-perfect masks and 2D/3D boxes
MULTIMODAL SENSOR SUPPORT

One scene, multiple sensors

Render the same world across modalities in perfect registration, so you train and test the whole fusion stack, not just the camera.

AVAILABLE RGB Photorealistic visible spectrum
AVAILABLE IR Infrared and thermal bands
AVAILABLE Depth Per-pixel depth and range
IN DEVELOPMENT Radar Range-Doppler returns and clutter
RERUN

Explore a real maritime scene, frame by frame

Every Stardust scene exports to Rerun. Pan and zoom the 3D world, scrub the timeline, and toggle sensor streams in registration. Live, interactive, real Stardust output.

Interactive viewer · loads a live recording from Rerun

NEURAL RENDERING

Realism and diversity with AI post-processing

A learned post-processing pass closes the domain gap and multiplies diversity. One scene, every condition: weather, lighting, and time of day, all photorealistic, so models transfer cleanly to the real world.

Synthetic maritime scene, clear conditions
CLEAR
Synthetic maritime scene, overcast conditions
OVERCAST
Synthetic maritime scene, fog conditions
FOG
Synthetic maritime scene, dawn conditions
DAWN
Synthetic maritime scene, dusk conditions
DUSK
Synthetic maritime scene, rain conditions
RAIN
3D ASSETS

A 1,000+ object 3D asset library, and counting

Drag and drop from over a thousand production-ready, physically-accurate 3D assets, each tagged with real-world dimensions. Need something rare? Generate new assets with AI on demand, or request a custom asset from our 3D team.

Container ship
Container ship213 × 43 × 52 m
Container ship (Maersk)
Container ship (Maersk)400 × 60 × 73 m
Cruise ship
Cruise ship366 × 69 × 78 m
Response boat
Response boat14 × 4.7 × 8.1 m
Kayak
Kayak5.5 × 2.1 × 0.5 m
Monitoring buoy
Monitoring buoy1.0 × 1.0 × 1.1 m
Special mark buoy
Special mark buoy2.8 × 2.6 × 6.1 m
Cardinal mark buoy
Cardinal mark buoy1.3 × 1.3 × 3.0 m
Cessna 208 Caravan
Cessna 208 Caravan13 × 16 × 4.6 m
Pilatus PC-12
Pilatus PC-1214 × 16 × 4.2 m
Harbor crane
Harbor crane12 × 28 × 29 m
Shipping port
Shipping port912 × 1979 × 82 m
100×faster than collecting and labeling real-world data
4synthetic modalities: EO, IR, SWIR, LiDAR
0manual labels, every frame is pixel-perfect and training-ready

Built for the hardest domains

Robotics →Maritime →Aerial →Space →Off-road →
NEXT

Trained a policy? Evaluate it on Manifold

Stardust trains and tests your perception models. When you are ready to evaluate a full policy, Manifold runs it on any benchmark and ranks it on a shared leaderboard.

EXPLORE MANIFOLD

Validate perception before the field does

Tell us what you’re building, and we’ll get you the data to make your models better.

BOOK A DEMO READ THE DOCS