CERBERUS: Crack Evaluation & Recognition Benchmark for Engineering Reliability & Urban Stability
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915361356513280 |
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| author | Reinman, Justin Choi, Sunwoong |
| author_facet | Reinman, Justin Choi, Sunwoong |
| contents | CERBERUS is a synthetic benchmark designed to help train and evaluate AI models for detecting cracks and other defects in infrastructure. It includes a crack image generator and realistic 3D inspection scenarios built in Unity. The benchmark features two types of setups: a simple Fly-By wall inspection and a more complex Underpass scene with lighting and geometry challenges. We tested a popular object detection model (YOLO) using different combinations of synthetic and real crack data. Results show that combining synthetic and real data improves performance on real-world images. CERBERUS provides a flexible, repeatable way to test defect detection systems and supports future research in automated infrastructure inspection. CERBERUS is publicly available at https://github.com/justinreinman/Cerberus-Defect-Generator. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_21909 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | CERBERUS: Crack Evaluation & Recognition Benchmark for Engineering Reliability & Urban Stability Reinman, Justin Choi, Sunwoong Computer Vision and Pattern Recognition CERBERUS is a synthetic benchmark designed to help train and evaluate AI models for detecting cracks and other defects in infrastructure. It includes a crack image generator and realistic 3D inspection scenarios built in Unity. The benchmark features two types of setups: a simple Fly-By wall inspection and a more complex Underpass scene with lighting and geometry challenges. We tested a popular object detection model (YOLO) using different combinations of synthetic and real crack data. Results show that combining synthetic and real data improves performance on real-world images. CERBERUS provides a flexible, repeatable way to test defect detection systems and supports future research in automated infrastructure inspection. CERBERUS is publicly available at https://github.com/justinreinman/Cerberus-Defect-Generator. |
| title | CERBERUS: Crack Evaluation & Recognition Benchmark for Engineering Reliability & Urban Stability |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2506.21909 |