siddhartamukherjee/NEU-DET-Steel-Surface-Defect-Detection
This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.
This project helps quality control inspectors or manufacturing engineers automatically identify common defects like rolled-in scale, patches, or scratches on hot-rolled steel strips. By inputting grayscale images of steel surfaces, it outputs a mask highlighting the exact location and type of any identified defects. This tool is for professionals responsible for maintaining product quality in steel production.
131 stars. No commits in the last 6 months.
Use this if you need an automated way to detect and locate surface defects on steel images to improve quality control.
Not ideal if you are looking for a solution to detect defects on materials other than steel or require real-time, high-speed inspection on a production line.
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May 22, 2021
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