  Application of neural networks in industrial settings, such as automated
factories with bin-picking solutions requires costly production of large
labeled data-sets. This paper presents an automatic data generation tool with a
procedural model of a cardboard box. We briefly demonstrate the capabilities of
the system, its various parameters and empirically prove the usefulness of the
generated synthetic data by training a simple neural network. We make sample
synthetic data generated by the tool publicly available.
