Synthetic Training Data for AI & Computer Vision

In short: DOSCH DESIGN turns its library of CAD-accurate, AI-free 3D models into synthetic training data for AI and computer vision. Because the scenes are rendered, you get pixel-perfect ground truth (automatic labels and masks), infinite variance and safe edge cases - all with clean, legally compliant IP for commercial models, available even as USD/USDZ or low-poly on request.

High-quality 3D assets as fuel for the next generation of intelligent algorithms.

Developing robust AI models and high-performance computer vision systems requires vast amounts of precise, classified data. However, real-world datasets often reach their limits: they are expensive to collect, raise data-privacy concerns (GDPR), or fail to cover rare scenarios (edge cases). DOSCH DESIGN offers the solution: synthetic training data based on our extensive library of high-end 3D models.
 

Synthetic training data pipeline using DOSCH 3D models for computer vision
 
 
DOSCH 3D vehicle asset rendered as labeled training image in a virtual environment
 

Why is the IP behind your training data legally safe?

A crucial criterion for enterprise AI solutions is the legal compliance of the training data. Unlike datasets that have been indiscriminately scraped from the internet, DOSCH DESIGN offers complete transparency and legal certainty through clean IP. The result: you can use our data for commercial AI models without fear of copyright infringement.

Clean-IP, license-safe 3D dataset for commercial AI training

Annotated synthetic image generated from a DOSCH 3D model


Which AI use cases does DOSCH data cover?

Our library includes thousands of detailed objects that can be used immediately for training neural networks in virtual environments such as NVIDIA Omniverse, Unity and Unreal Engine.

1. Autonomous Driving & Automotive - train object-recognition systems with detailed vehicles (cars, trucks, commercial vehicles, e-mobility), traffic infrastructure (signs, traffic lights, road barriers) and realistic pedestrians and road users.

2. Robotics & Logistics - for gripper robots and autonomous warehouse systems: packaging and consumer goods (bottles, boxes, products), industrial components and tools, plus shelf systems and warehouse environments.

3. Smart City & Surveillance - improve security algorithms with diverse scenarios: crowds and individual characters in varied clothing, urban furniture (benches, lampposts, trash cans) and vegetation for realistic outdoor environments.

4. Medicine & Research - anatomically accurate models for medical image-processing AI, plus laboratory equipment and scientific instruments.

Synthetic dataset scenarios for autonomous driving, robotics and smart city AI

Warehouse and logistics 3D scene rendered as robotics training data


Why is 3D the perfect source of ground truth?

Using DOSCH 3D models to generate synthetic images offers technical advantages that are virtually impossible to achieve with real-world photographs:

  • Perfect segmentation: because the data is synthetically generated, the exact location of every object is known down to the pixel (automatic labeling and masking).
  • Infinite variance: change lighting, weather, camera positions or textures to make your AI more robust against disturbances.
  • Coverage of edge cases: simulate accident scenarios or rare environmental conditions that are difficult or unsafe to photograph in reality.

Real photos vs. scraped datasets vs. DOSCH synthetic data - how do they compare?

Criterion Real-world photos Scraped web datasets DOSCH synthetic data
Pixel-perfect labels / masks Manual, error-prone Inconsistent Automatic, exact
Cost per new variation High (re-shoot) Low Near zero (re-render)
Edge / rare cases Hard or unsafe Rarely covered Freely simulated
Privacy / GDPR Sensitive Risky No real persons
IP / license clarity Varies Often unclear Clean IP, commercial-safe
AI-generated source (quality risk) No Often No - 100% hand-modeled


Pixel-perfect segmentation mask generated automatically from a 3D scene
 

Edge-case scenario simulated with DOSCH 3D models for robust AI training


Can you build a custom dataset for our pipeline?

Do you require specific datasets or modifications to existing models - for example low-poly variants for real-time simulations, or special file formats such as USD/USDZ? DOSCH DESIGN is your partner for custom data generation. We create customized packages tailored precisely to the requirements of your training pipeline.
 

Custom synthetic dataset package in USD and low-poly formats for AI training
 

Tailored 3D training data integrated into an NVIDIA Omniverse pipeline


How do enterprise AI licenses work?

Contact us for enterprise licenses. Would you like to use DOSCH assets to train your AI? We are happy to advise you on our special licensing models for machine learning and AI development.

Frequently asked questions

What is synthetic training data and why use 3D models for it?

Synthetic training data is rendered, not photographed. Generating it from CAD-accurate 3D models gives you pixel-perfect ground truth (automatic labels and masks), unlimited variations and safe edge cases that are hard or unsafe to capture in the real world.

Is the data legally safe for commercial AI models?

Yes. Unlike datasets scraped from the internet, DOSCH data is based on clean, transparent IP, so you can train commercial AI models without fear of copyright infringement.

Which engines and formats are supported?

The assets work in virtual environments such as NVIDIA Omniverse, Unity and Unreal Engine, and are available in common 3D formats - including OBJ, FBX, glTF and, on request, USD/USDZ or low-poly variants for real-time simulation.

Which AI use cases are covered?

Autonomous driving and automotive, robotics and logistics, smart city and surveillance, and medicine and research - with vehicles, people, infrastructure, packaging, industrial parts, vegetation and anatomical models.

Are these AI-generated 3D models?

No. Every DOSCH model is 100% hand-modeled with clean, CAD-accurate topology - which is exactly why it produces reliable ground truth, unlike AI-generated meshes with uncertain quality and rights.

Can you create a custom dataset for our training pipeline?

Yes. We build tailored packages to your specification, including specific objects, low-poly variants for real-time use and special formats such as USD/USDZ, plus enterprise licensing for machine learning.

DD
DOSCH DESIGN - professional 3D models, HDRIs and render scenes for industry, simulation and AI.
Last updated: June 2026



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