Mindtech Announces Enhanced Scalability Support for Chameleon

Mindtech Global Ltd, a UK based start-up, has announced container support to allow running multiple instances of their Chameleon synthetic data generation tool on clustered platforms. This approach enables full use of available compute resources leading to a significant reduction in training cycle times for neural networks using Synthetic data. Mindtech's Chameleon was built from the outset with the capability to scale for generating large amounts of data to meet the demands of training visual neural networks for AI systems. The simulator incorporates a scripting engine, enabling easy capabilities for repeated simulation runs, changing single variables at a time. The scenario editor is intended to allow the quick and easy creation of multiple different sequences, to create the data required for the intended use case.