Crack Instance Segmentation Dataset for Civil Infrastructure

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Main Author: Jiang, Bowen
Format: Recurso digital
Published: Zenodo 2026
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_version_ 1866901559883857920
author Jiang, Bowen
author_facet Jiang, Bowen
contents <p class="ng-star-inserted"><strong class="ng-star-inserted"><span class="ng-star-inserted">Dataset Overview:</span></strong><br class="ng-star-inserted"><span class="ng-star-inserted">This dataset is designed for crack instance segmentation research and consists of three components:</span></p> <ol class="ng-star-inserted"> <li class="ng-star-inserted"> <p class="ng-star-inserted"><strong class="ng-star-inserted"><span class="ng-star-inserted">CrackTree200:</span></strong><span class="ng-star-inserted"> A public dataset for crack detection.</span></p> </li> <li class="ng-star-inserted"> <p class="ng-star-inserted"><strong class="ng-star-inserted"><span class="ng-star-inserted">CrackTree260:</span></strong><span class="ng-star-inserted"> A public dataset for crack detection.</span></p> </li> <li class="ng-star-inserted"> <p class="ng-star-inserted"><strong class="ng-star-inserted"><span class="ng-star-inserted">crack-seg-new:</span></strong><span class="ng-star-inserted"> A curated dataset specifically optimized for high-precision evaluation.</span></p> </li> </ol> <p class="ng-star-inserted"><strong class="ng-star-inserted"><span class="ng-star-inserted">Key Feature - High-Fidelity Annotations:</span></strong><br class="ng-star-inserted"><span class="ng-star-inserted">Unlike traditional datasets that often use coarse polygon approximations, the validation and test subsets of </span><strong class="ng-star-inserted"><span class="ng-star-inserted">crack-seg-new</span></strong><span class="ng-star-inserted"> have been manually re-annotated with fine-grained vertex editing. This ensures that the masks accurately capture thin lateral branches, hairline extensions, and complex bifurcation topologies of cracks.</span></p> <p class="ng-star-inserted"><strong class="ng-star-inserted"><span class="ng-star-inserted">Contents:</span></strong></p> <ul class="ng-star-inserted"> <li class="ng-star-inserted"> <p class="ng-star-inserted"><span class="inline-code ng-star-inserted">crack-seg-new/</span><span class="ng-star-inserted">: Contains refined validation and test images and their corresponding high-precision masks.</span></p> </li> <li class="ng-star-inserted"> <p class="ng-star-inserted"><span class="inline-code ng-star-inserted">CrackTree200/</span><span class="ng-star-inserted">: Original public images and annotations.</span></p> </li> <li class="ng-star-inserted"> <p class="ng-star-inserted"><span class="inline-code ng-star-inserted">CrackTree260/</span><span class="ng-star-inserted">: Original public images and annotations.</span></p> </li> </ul>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19604633
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Crack Instance Segmentation Dataset for Civil Infrastructure
Jiang, Bowen
<p class="ng-star-inserted"><strong class="ng-star-inserted"><span class="ng-star-inserted">Dataset Overview:</span></strong><br class="ng-star-inserted"><span class="ng-star-inserted">This dataset is designed for crack instance segmentation research and consists of three components:</span></p> <ol class="ng-star-inserted"> <li class="ng-star-inserted"> <p class="ng-star-inserted"><strong class="ng-star-inserted"><span class="ng-star-inserted">CrackTree200:</span></strong><span class="ng-star-inserted"> A public dataset for crack detection.</span></p> </li> <li class="ng-star-inserted"> <p class="ng-star-inserted"><strong class="ng-star-inserted"><span class="ng-star-inserted">CrackTree260:</span></strong><span class="ng-star-inserted"> A public dataset for crack detection.</span></p> </li> <li class="ng-star-inserted"> <p class="ng-star-inserted"><strong class="ng-star-inserted"><span class="ng-star-inserted">crack-seg-new:</span></strong><span class="ng-star-inserted"> A curated dataset specifically optimized for high-precision evaluation.</span></p> </li> </ol> <p class="ng-star-inserted"><strong class="ng-star-inserted"><span class="ng-star-inserted">Key Feature - High-Fidelity Annotations:</span></strong><br class="ng-star-inserted"><span class="ng-star-inserted">Unlike traditional datasets that often use coarse polygon approximations, the validation and test subsets of </span><strong class="ng-star-inserted"><span class="ng-star-inserted">crack-seg-new</span></strong><span class="ng-star-inserted"> have been manually re-annotated with fine-grained vertex editing. This ensures that the masks accurately capture thin lateral branches, hairline extensions, and complex bifurcation topologies of cracks.</span></p> <p class="ng-star-inserted"><strong class="ng-star-inserted"><span class="ng-star-inserted">Contents:</span></strong></p> <ul class="ng-star-inserted"> <li class="ng-star-inserted"> <p class="ng-star-inserted"><span class="inline-code ng-star-inserted">crack-seg-new/</span><span class="ng-star-inserted">: Contains refined validation and test images and their corresponding high-precision masks.</span></p> </li> <li class="ng-star-inserted"> <p class="ng-star-inserted"><span class="inline-code ng-star-inserted">CrackTree200/</span><span class="ng-star-inserted">: Original public images and annotations.</span></p> </li> <li class="ng-star-inserted"> <p class="ng-star-inserted"><span class="inline-code ng-star-inserted">CrackTree260/</span><span class="ng-star-inserted">: Original public images and annotations.</span></p> </li> </ul>
title Crack Instance Segmentation Dataset for Civil Infrastructure
url https://doi.org/10.5281/zenodo.19604633