Mask R-CNN Weld Defect Computer Vision Project
Mubessirul Ummah
Updated 5 days ago
8
views0
downloadsClasses (13)
arc strike
burn through
cluster porosity
excessive reinforcement
incomplete filled groove
incomplete root penetration
mechanical damage
overlap
perosity
slag inclusion
spatter
suck back
undercut
A description for this project has not been published yet.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
mask-r-cnn-weld-defect_dataset,
title = { Mask R-CNN Weld Defect Dataset },
type = { Open Source Dataset },
author = { Mubessirul Ummah },
howpublished = { \url{ https://universe.roboflow.com/mubessirul-ummah/mask-r-cnn-weld-defect } },
url = { https://universe.roboflow.com/mubessirul-ummah/mask-r-cnn-weld-defect },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-11-14 },
}