huangyebiaoke/steel-pipe-weld-defect-detection
Deep Learning Based Steel Pipe Weld Defect Detection
This project helps quality control engineers and manufacturing plant managers automatically identify common defects in steel pipe welds. By inputting images of welded steel pipes, the system outputs classifications of various weld flaws like cracks, air-holes, or slag inclusions. This enables faster, more consistent quality inspection on the production line.
104 stars. No commits in the last 6 months.
Use this if you need an automated system to detect and classify defects in steel pipe welds from image data.
Not ideal if you are looking for a general-purpose object detection tool outside of steel pipe weld inspection.
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104
Forks
25
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Dec 06, 2021
Commits (30d)
0
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