{
 "id": "KeenForgeAI/RoadCrack_DL_HY-corrected",
 "owner": "KeenForgeAI",
 "name": "RoadCrack_DL_HY-corrected",
 "downloads": 2986,
 "likes": 0,
 "last_modified": "2026-10-14T04:26:40.000Z",
 "stated_licence": "other",
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 "licence_name": "non-commercial-research-only",
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 "file_licence": null,
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  "LICENSE"
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 "sources": [],
 "gated": false,
 "tasks": [
  "object-detection"
 ],
 "citation": "@article{huyan2019crackunet,\n  title   = {CrackU-net: A novel deep convolutional neural network for pixelwise\n             pavement crack detection},\n  author  = {Huyan, Ju and Li, Wei and Tighe, Susan and Xu, Zhengchao and Zhai, Junzhi},\n  journal = {Structural Control and Health Monitoring},\n  pages   = {e2551},\n  publisher = {Wiley Online Library}\n}\n\n@article{huyan2019detection,\n  title   = {Detection of sealed and unsealed cracks with complex backgrounds using\n             deep convolutional neural network},\n  author  = {Huyan, Ju and Li, Wei and Tighe, Susan and Zhai, Junzhi and Xu, Zhengchao and Chen, Yao},\n  journal = {Automation in Construction},\n  volume  = {107},\n  pages   = {102946},\n  year    = {2019},\n  publisher = {Elsevier}\n}",
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}