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04/06/2026

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Synthetic data for training machine learning models

Service description

Experimentation with the concept of training machine vision solutions with the use of synthetic training data. A set of reference parts will be used to train your machine vision solution. The result of the service will be a feasibility report and a set of suggestions for improvement
Expected results: 1. Tech provider benefit:Access to quality data, reduction of testing time, cost reduction in equipment and tech team. 2. Product Benefit: Increased accuracy, faster integration in the production. Deliverables: feasibility report, recommendations for improvement
Methodology: Exploration with the client, e.g. technical analysis, feasibility concept.
Target: Technology providers developing AI-based machine vision solutions and want to test it with the use of synthetic data. Industrial end-users wanting to enhance their systems using AI. Customer required infrastructure: Reference parts or samples access, CAD files, operational constraints, equipment information, or existing models and algorithms
  • Organisation: LMS
  • Type: study, test, experiment
  • SUT/E: Datasets
  • Average duration: 12-24 weeks
  • Contact: LMS

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