Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab: Benchmark Models

These are the benchmark models created as part of the Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab Project: https://s.fhg.de/gorissen-2025a. Models are Tensorflow Models. For implementation details, check the project website for the code repository link. In the folder pre-trained you can find both the foundation and instance specific used for transfer learning approaches in the benchmark, as well as associated hyperparameters.