Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization

arXiv:2305.05215v2 Announce Type: replace
Abstract: 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.

abstract application arxiv automated box capabilities cs.cv data data-driven data tool factories industrial localization networks neural networks novel paper production solutions synthetic synthetic data tool type