Train segmentation models without programming or AI expertise. Upload your labelled training datasets* into the interface and let VGTRAINER take it from there. You can have your first working model in a single day and can iterate as many times as you like with additional data to improve the model’s accuracy.
*Curate accurate, consistent training data in VGSTUDIO MAX.


Upload your labelled training datasets into the interface and let the software handle the rest. You can have your first working model in a single day and iterate as many times as you like with additional data to improve its accuracy.


“The results are very impressive. After training a model with just 20 labeled datasets, the resulting segmentation is about 98% accurate. It's very impressive, very efficient.”
We know the idea of generating your deep-learning models can feel overwhelming. That's exactly why we developed VGTRAINER: To put the power of AI for segmentation into the hands of everyday users. Check out this video tutorial and see just how intuitive the application is in practice!
Watch the tutorial


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With the launch of our new application, VGTRAINER, you now have the power to train your own deep-learning models for segmentation in-house — without the need for AI or programming expertise. Apply these models with the Deep Segmentation module to leverage AI to tackle segmentation challenges previously unsolvable due to CT data quality, while maintaining total control over your confidential part data.
Watch the video tutorial here.
Read the basic requirements below or download the PDF for the complete system requirements for VGTRAINER.
Windows 10* Enterprise 64-bit
Windows 10* Professional 64-bit
Windows 11 Enterprise 64-bit
Windows 11 Professional 64-bit
*VGTRAINER will no longer support Windows 10 as of version 2025.3
Minimum: x86-64 CPU. ARM processors are not supported.
Recommended: Performant Intel or AMD multi-core processors, e.g., AMD Ryzen™ 9 5950X 16-core processor or Intel® Xeon® E5-2687W v3 processor, with 3 GHz or higher
Training a model with VGTRAINER requires a minimum of 128 GB RAM. The actually required size of the main memory strongly depends on the size of your task.