CSMX

We Do 3D Synthetic Data Generation

Training Vision AI models with synthetic data has never been easier.

We generate large scale annotated image datasets using physically accurate 3D rendering. Whether you need data for object detection, segmentation, anomaly detection, or other computer vision applications, we can create thousands or even millions of labeled images tailored to your project. The edge cases? We can get the to you in bulk, you don't have to worry about missing any scenario or waiting for ages to get the real edge case data.

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We have successfully delivered synthetic datasets for a wide range of industrial and commercial machine learning applications.

Annotations

Eliminate the need for manual labeling. Annotations are generated automatically during rendering, ensuring perfect alignment between images and labels.

Depending on your requirements, we can create:

  • Bounding boxes
  • Segmentation masks
  • Instance segmentation
  • Rotation matrices
  • Depth maps
  • Custom annotation formats
Annotation example

Augmentation

Build more robust models, improve generalization, and reduce overfitting.

transform

Spatial Randomization

We programmatically randomize object position, rotation, scale, and custom camera perspectives to ensure your model generalizes to any view.

Animated image showing spatial randomization of a surigical scissors
texture

Material Variations

Simulate wear and tear, surface imperfections, manufacturing defects, and multi-color variants using advanced procedural material pipelines.

Animated image showing material variations of mechanical gear
wb_sunny

Environment & Lighting

Utilize randomized studio lighting setups, procedural environments, and high dynamic range (HDRI) backgrounds to maximize dataset diversity.

Animated image showing environmental variations on a scene with inudstrial electrical device
settings

Object Variations

We can generate setups with dynamic geomtry control, both for product variations, or for abnormalities like manufacturing errors.

Animated image showing object variations with parametric control of cream jar

Great Results on Real Data

Synthetic data delivers the best results when combined with a small set of real validation images. This allows us to measure performance on real world data, stop training at the right moment, and avoid synthetic overfitting.

Connectors detection quality control animation

Quality Control

Automatic detection of objects and manufacturing errors for industrial connectors using models trained entirely on synthetic data.

Synthetic donuts rendering variation 1 Synthetic donuts rendering variation 2

Counting & Classification

Varied donuts models textured with realistic glazing and icing offsets, used to train food production line cameras.

From Scratch

We can create training assets from:

  • CAD files such as STEP (.stp)
  • Product photographs
  • Technical drawings
  • Existing 3D models

We also build parametric 3D models that can generate virtually unlimited variations for training. To improve model robustness and reduce false positives, we can include negative samples generated from similar 3D models and related objects.

Render from CAD data
Photorealistic 3D Render of Industrial Pipe

Get Data for Your Training

Looking for high quality synthetic data for your computer vision project?

Contact us to discuss your requirements and receive a custom proposal.

Schedule a call Contact us