Printed Circuit Board Processed Image
Donated on 4/17/2024
This CSV dataset, originally used for test-pad coordinate retrieval from PCB images, presents potential applications like classification (e.g., Grey test pad detection), anomaly detection (e.g., fake test pads), or clustering for grey test pads discovery. The dataset includes X and Y representing pixel positions, and R, G, B values determining pixel color (minmax normalized from 0-255). A 'Grey' field indicates approximate grey pixels. This dataset was originally used for a 2-stage discovery of high number of test pad clusters (>100) in a dataset presented in: @article{Tan2016FastRO, title={Fast retrievals of test-pad coordinates from photo images of printed circuit boards}, author={Swee Chuan Tan and Schumann Tong Wei Kit}, journal={2016 International Conference on Advanced Mechatronic Systems (ICAMechS)}, year={2016}, pages={464-467}, url={https://api.semanticscholar.org/CorpusID:38544897} } More pixels here than that in the paper due to different extraction method.
Dataset Characteristics
Tabular, Image, Other
Subject Area
Computer Science
Associated Tasks
Classification, Clustering
Feature Type
Real, Categorical, Integer
# Instances
723552
# Features
5
Dataset Information
Has Missing Values?
No
Introductory Paper
By Swee Chuan Tan, Schumann Tong Wei Kit. 2016
Published in International Conference on Advanced Mechatronic Systems
Variables Table
Variable Name | Role | Type | Description | Units | Missing Values |
---|---|---|---|---|---|
X | Feature | Integer | x-coordinate | no | |
Y | Feature | Integer | y-coordinate | no | |
R | Feature | Continuous | red | no | |
G | Feature | Continuous | green | no | |
B | Feature | Continuous | blue | no | |
Grey | Other | Binary | ~grey indicator | no |
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Dataset Files
File | Size |
---|---|
TestPad_PCB_XYRGB_V2.csv | 31.9 MB |
PowerPoint Presentation.pdf | 636.5 KB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset printed_circuit_board_processed_image = fetch_ucirepo(id=990) # data (as pandas dataframes) X = printed_circuit_board_processed_image.data.features y = printed_circuit_board_processed_image.data.targets # metadata print(printed_circuit_board_processed_image.metadata) # variable information print(printed_circuit_board_processed_image.variables)
Tan, S. & Tan, S. (2016). Printed Circuit Board Processed Image [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5DK8H.
Keywords
Creators
Swee Chuan Tan
jamestansc@yahoo.com.sg
Swee Chuan Tan
jamestansc@yahoo.com.sg
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.