khanhha/crack_segmentation
This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu
This project helps structural engineers and inspectors automatically find and outline cracks in images of pavement and concrete structures like bridges. You provide images, possibly taken by a drone, and it outputs segmented images highlighting the exact areas of damage. This tool is designed for professionals in infrastructure inspection or maintenance who need to quickly identify structural defects.
431 stars. No commits in the last 6 months.
Use this if you need to automate the detection of cracks in large sets of concrete or pavement images, reducing the manual effort of visual inspection.
Not ideal if you require highly precise measurements of crack width or depth, or if your images contain damage types other than cracks.
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431
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Language
Python
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Last pushed
May 06, 2024
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