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English(EN) PCBnet: A Dataset and Automatic Construction of SPICE Netlists from Schematic Images

新的PCBnet数据集和流水线助力AI在电路板设计中的应用

研究人员推出了PCBnet,一个旨在推进人工智能驱动的印刷电路板(PCB)设计自动化的新数据集。该数据集包含超过300个真实世界的PCB设计,拥有超过50,000个组件实例和150,000条导线,并配有SPICE网表。为了促进从原理图图像到网表的转换,开发了一个自动化流水线,结合了视觉识别、拓扑构建和多智能体校正,在组件检测、文本识别和连通性方面取得了高精度。 AI

影响 该数据集和流水线通过提供原理图到网表转换的基准,有望加速电子行业中人工智能驱动的自动化。

排序理由 该集群描述了在arXiv上发布的新数据集和方法论,符合研究类别。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的PCBnet数据集和流水线助力AI在电路板设计中的应用

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该集群描述了在arXiv上发布的新数据集和方法论,符合研究类别。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Zhen Huang, Yuhao Gao, Yuzhi Liu, Daian Cheng, Chengyuan Shao, Yucheng Chen, Yongjian Jia, Futing Zhang, Yichen Shi, Wenhao Wang, Zuyan He, Yangbo Wei, Zhanfei Chen, Jinlong Yan, Yu Zhang, Haoying Wu, Ting-Jung Lin, Lei He ·

    PCBnet:从原理图图像自动构建 SPICE 网表的数据集

    arXiv:2608.27923v1 Announce Type: new Abstract: Printed circuit boards (PCBs) are fundamental to modern electronic systems, yet AI-driven PCB design automation remains constrained by the lack of large-scale paired schematic-netlist datasets. PCB schematics are particularly challe…