PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards
PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards
Arbash, E.; Fuchs, M.; Rasti, B.; Lorenz, S.; Ghamisi, P.; Gloaguen, R.
Abstract
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
- HSI/
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
Keywords: 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
Verknüpfte Publikationen
- DOI: 10.48550/arXiv.2401.06528 is supplemented by this (Id 38684) publication
-
PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed …
ROBIS: 38529 has this (Id 38684) publication as part -
PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed …
ROBIS: 38529 has used this (Id 38684) publication of HZDR-primary research data
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Forschungsdaten im HZDR-Daten-Repositorium RODARE
Publication date: 2024-01-29 Open access
DOI: 10.14278/rodare.2703
Versions: 10.14278/rodare.2733 | 10.14278/rodare.2704
License: CC-BY-4.0
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Permalink: https://www.hzdr.de/publications/Publ-38684