Contact

Evaluation of Image Data Simulation Systems

Read more

Description of the service

Evaluation and/or improvement of Image Simulation/Generation Systems for optimization of Vision Systems: Training of models on real and generated data to determine domain gap and feasibility of Image Simulation approach for Vision AI Use Cases.
Expected results: Test results/Feasability Report/Recommendation Report/Synthetic Training Dataset/Trained Model
The methodology:

  • identify requirements

  • use standardized synthetic data pipeline to generate data suitable for comparison with client’s pipeline

  • optionally train suitable AI models on synthetic data for comparison

  • evaluate and compare models on synthetic and real data

Target: Vision AI Providers that want to employ better vision AI models but lack sufficient amount of data.
  • Organization: IPA
  • Type: Experiment
  • SUT/E: Vision AI Models
  • Average duration: 1.0 -- 3.0 months
  • Contact: ira.effenberger@ipa.fraunhofer.de; andreas.frommknecht@ipa.fraunhofer.de

Improve your project
around production and
automation with AI technologies

Sign up for our newsletter to receive the latest news and events from the AI Matters community.

subscribe

Contact

Legal notice GDPR

Co-financed by the European Union under grant agreement number 101100707

Supported by the Baden-Württemberg Ministry of Economic Affairs, Labor and Tourism.

However, the views and opinions expressed are solely those of the author(s) and do not necessarily reflect those of the European Union or the Directorate-General for Communication Networks, Content and Technology. Neither the European Union nor the granting authority can be held responsible for them.

© copyright 2024 AI-Matters