January 29, 2024 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