🤖 VIVID 3D · VISUAL DATA PLATFORM
Simulation-ready 3D assets for Robotics & Physical AI
Create and manage 3D assets. Prepare for simulation. Build visual data for perception systems.
Vivid 3D helps robotics and Physical AI teams organize reusable 3D content, design controlled environments, and develop synthetic visual data for computer vision workflows.
Explore Robotics Solutions · Public Datasets · Book a Demo
A modular approach: 3D content production, project-specific simulation preparation, controllable visual-data generation and model evaluation.
Simulation readiness depends on the target stack. Scale, coordinate systems, pivots, collision meshes, articulation, material properties, metadata, performance and simulator compatibility must be reviewed for each project. A visual render does not demonstrate physics validation.
- Robot perception: visual data for detection, classification, segmentation and localization.
- Scenario development: controlled variations in object arrangements, camera viewpoints, lighting, occlusion and clutter.
- Industrial inspection: training and evaluation data for visual quality and component-recognition workflows.
Real synthetic visual sample
SeaDrone synthetic maritime image supplied by Vivid. Shown as an RGB rendering sample. It is not a demonstration of collision geometry, physics properties, robot articulation or simulator-ready export.
Synthetic datasets & Computer Vision
Once scene and asset requirements have been defined, Vivid can support visual dataset generation, scenario design and computer-vision workflows, including labels and exports specified for the use case. Confirm modalities, annotation types and formats in the project scope.
Explore public datasets
These example datasets are hosted under the Vivid3Dai organization.
| Dataset | Focus |
|---|---|
| Boat Detection — Synthetic Data | Maritime object detection |
| SAR Boat Detection — Synthetic Data | SAR-style vessel detection |
| Airport Detection — Synthetic Data | Airport scenes |
| Top-Down Aircraft Detection | Aerial aircraft detection |
| Top-Down SAR Aircraft Detection | SAR-style aircraft detection |
| Middle East City | Overhead urban imagery with boxes and masks |
| Middle East Desert | Overhead desert structures with boxes and masks |
| Oil Spill | Oil-spill detection and segmentation |
| Kitchen Edge Cases | Indoor object detection and instance segmentation |
| Home Robot View: Indoor Objects and Edge Cases | Robot-view indoor detection and instance segmentation |
Interactive Vivid Lab
A separate public Lab can showcase asset-readiness criteria, visual-data samples and dataset previews. This Organization Card does not run a simulator.
Building a perception or robotics pipeline?
Tell us which simulator, object classes, sensors and visual edge cases matter most to your team.
Robotics & Physical AI · Synthetic Data Services · Talk to Vivid