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arXiv · 2305.05215

Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization

Lukáš Gajdošech·Peter Kravár
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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.

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Lukáš Gajdošech, Peter Kravár. 2023-05-09. Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization. https://doi.org/10.1007/978-3-031-44207-0_50

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