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"The GraphPCB Dataset"

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DataCite Commons2026-03-02 更新2026-05-03 收录
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https://ieee-dataport.org/documents/graphpcb-dataset
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资源简介:
"This dataset consists of graph-based representations of printed circuit boards (PCBs), created from two sources: WACV 2019 PCB dataset and FPIC-PCB dataset. Each PCB image is converted into a graph where components are nodes, and spatial\/electrical relationships are edges. This structure is useful for tasks such as graph classification and component detection in electronic hardware.The GraphPCB dataset is constructed from two publicly available PCB component detection datasets:Graph-WACV is derived from the WACV 2019 PCB Dataset, which contains annotated images of printed circuit boards for defect detection and component localization tasks. It contains 47 high-resolution images, 31 component types, and ~62k component instances.Graph-FPIC originates from the FPIC-PCB dataset, a dataset designed for instance segmentation tasks. We uses 116 images from it that contains ICs."
提供机构:
IEEE DataPort
创建时间:
2026-03-02
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