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.

翻译：神经网络在自动化工厂等工业环境中的应用（如基于料箱拣选方案的场景）往往需要耗费大量成本来生成标注数据集。本文提出一种基于程序化纸箱模型的自动数据生成工具。我们简要展示了该系统的功能及其多样化的参数设置，并通过训练一个简易神经网络，实证验证了所生成合成数据的实际效用。此外，我们公开了该工具生成的示例合成数据集。