Data · dataset · 2024
PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards
Listed in RODARE
PCB-Vision Dataset Description: The PCB-Vision dataset is a multiscene RGB-Hyperspectral benchmark dataset comprising 53 Printed Circuit Boards (PCBs).
Description
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: github.com/hifexplo/PCBVision
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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. 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: iexplo.space/ Contact Email: e.arbash@hzdr.de
Links
Where it is published
- RODARE record rodare.hzdr.de/record/2704 ↗
landing page · from rodare hzdr de
- DOI doi.org/10.14278/rodare.2704 ↗
DOI / persistent id · from rodare hzdr de
Catalogue records · 1
- InvenioRDM API rodare.hzdr.de/api/records/2704 ↗
metadata API · from rodare hzdr de
Topics
- From keywords
- Computer Science & AI · Deep learning · Economics & Finance · Machine learning
- Inferred from text
- Image 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| RODARE | 2704 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · rodare hzdr de | connector:rodare_hzdr_de@1.0.0 | |
| concepts[field].anzsrc:field:461103 | mapping · rodare hzdr de | vocabulary-mapper@1.0.0 | keywords['deep learning'] |
| concepts[field].anzsrc:group:4611 | mapping · rodare hzdr de | vocabulary-mapper@1.0.0 | keywords['machine learning'] |
| concepts[field].local:field:computer-science-ai | mapping · rodare hzdr de | connector:rodare_hzdr_de@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · rodare hzdr de | connector:rodare_hzdr_de@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · rodare hzdr de | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · rodare hzdr de | connector:rodare_hzdr_de@1.0.0 | /metadata/description |
| license | source · rodare hzdr de | connector:rodare_hzdr_de@1.0.0 | |
| publication_date | source · rodare hzdr de | connector:rodare_hzdr_de@1.0.0 | |
| title | source · rodare hzdr de | connector:rodare_hzdr_de@1.0.0 | /metadata/title |
| updated_date | source · rodare hzdr de | connector:rodare_hzdr_de@1.0.0 | |
| version_label | source · rodare hzdr de | connector:rodare_hzdr_de@1.0.0 |