Dataset Open Access

PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards

Arbash, Elias; Fuchs, Margret; Rasti, Behnood; Lorenz, Sandra; Ghamisi, Pedram; Gloaguen, Richard

PCB-Vision Dataset

Description:

The PCB-Vision dataset is a multiscene RGB-Hyperspectral benchmark dataset comprising 53 Printed Circuit Boards (PCBs). The RGB images are collected using a Teledyne Dalsa C4020 camera on a conveyor belt, while hyperspectral images (HSI) are acquired with a Specim FX10 spectrometer. The HSI data contains 224 bands in the VNIR range [400 - 1000]nm.

Data Format

  • RGB Images: .png files
  • PCB Masks: .jpg files
  • HSI Data: Each hyperspectral data cube is accompanied by a data file and a .hdr file.

Folder Organization

  • PCBVision
    • HSI/
      • 53 subfolders (one for each PCB)
      • 'General_masks' folder for 'General' segmentation ground truth
      • 'Monoseg_masks' folder for 'Monoseg' segmentation ground truth
      • 'PCB_Masks' folder for masks of the 53 PCBs in the hyperspectral cube
    • RGB/
      • 53 .jpg images
      • 'General' folder for RGB images 'General' segmentation ground truth
      • 'Monoseg_masks' folder for RGB images 'Monoseg' segmentation ground truth

Data Classes in Masks

  • Masks (both 'General' and 'Monoseg') contain 1 to 4 segmentation classes:
    • 0: "Others"
    • 1: "IC"
    • 2: "Capacitors"
    • 3: "Connectors"

Code Repository

To facilitate reading and working with the data, Python codes are available on the GitHub repository:

https://github.com/hifexplo/PCBVision

Citation

If you use this dataset, please cite the following article:

Word:

Arbash, Elias, Fuchs, Margret, Rasti, Behnood, Lorenz, Sandra, Ghamisi, Pedram, & Gloaguen, Richard. (2024). PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards (Version 1) [Data set]. Rodare. http://doi.org/10.14278/rodare.2704

Latex:

@article{arbash2024pcb, title={PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards}, author={Arbash, Elias and Fuchs, Margret and Rasti, Behnood and Lorenz, Sandra and Ghamisi, Pedram and Gloaguen, Richard}, journal={arXiv preprint arXiv:2401.06528}, year={2024} }

Contact

For further information or inquiries, please visit our website:

https://www.iexplo.space/

Contact Email: e.arbash@hzdr.de

Files (11.4 GB)
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PCBDataset.zip
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Publication date:
January 29, 2024
DOI:
10.14278/rodare.2704

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10.14278/rodare.2704

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Keyword(s):
circular economy automated data processing optical sensors recycling e-waste printed circuit board hyperspectral dataset RGB conveyor belt sensors machine learning deep learning PCBVision open-source data digitalization
Related identifiers:
Identical to:
https://www.hzdr.de/publications/Publ-38684
Supplement to:
10.48550/arXiv.2401.06528
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1 10.14278/rodare.2704 Jan 29, 2024
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