Data for: In-Process Virtual Verification of Weld Seam Removal in Robotic Abrasive Belt Grinding Process Using Deep Learning

Published: 18 Jan 2019 | Version 1 | DOI: 10.17632/2pcnt8kpw9.1

Description of this data

-Dataset folder contains 5 classes of weld seam geomentry
#2000 images
#All images are in 640X480 pixels
#2000 images for background class
#500 images for four weldseam classes

-Label folder contains pixel wise labelling of the 5 classes
#2000 label images for each class
---------------------------------
Colour codes for each class

000 000 000 %background 2000 images
192 200 20 %seam1 500 images
000 000 192 %seam2 500 images
192 000 000 %seam3 500 images
128 192 000 %seam4 500 images
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Experiment data files

This data is associated with the following publication:

In-process virtual verification of weld seam removal in robotic abrasive belt grinding process using deep learning

Published in: Robotics and Computer Integrated Manufacturing

Latest version

  • Version 1

    2019-01-18

    Published: 2019-01-18

    DOI: 10.17632/2pcnt8kpw9.1

    Cite this dataset

    Tjahjowidodo, Tegoeh; Murugan, Pushparaja; Manyar, Omey Mohan; Then, David Jin Hong; Pandiyan, Vigneash; Caesarendra, Wahyu (2019), “Data for: In-Process Virtual Verification of Weld Seam Removal in Robotic Abrasive Belt Grinding Process Using Deep Learning”, Mendeley Data, v1 http://dx.doi.org/10.17632/2pcnt8kpw9.1

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Downloads: 15

Categories

Computer Vision, Manufacturing, Abrasive Wear, Deep Learning

Licence

CC BY NC 3.0 Learn more

The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

What does this mean?
You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.

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