Roboflow Universe Image AI development Crack Segmentation

Crack Segmentation Computer Vision Project

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Here are a few use cases for this project:

Infrastructure Maintenance: The model can be used by infrastructure or transportation departments to detect and analyze cracks in roads, bridges, or pavements. This will inform timely repairs, ensuring safety and preventing damages from escalating.
Building Safety: Engineers or architects could use it to identify cracks in building structures, walls, or foundations, which is critical for building safety assessments and mitigation of potential hazards.
Art Conservators: The model can be used by art conservation specialists to detect cracks in works of art, assisting in restoration and preservation processes.
Geological Studies: Geologists may use it to detect and study cracks on the earth's surface, aiding in efforts to understand seismic activity or land movement.
Aircraft Maintenance: Aviation companies could use this to detect cracks in aircraft exteriors during maintenance checks, ensuring flight safety.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            crack-segmentation-ryckv_dataset,
                            title = { Crack Segmentation Dataset },
                            type = { Open Source Dataset },
                            author = { Image AI development },
                            howpublished = { \url{ https://universe.roboflow.com/image-ai-development/crack-segmentation-ryckv } },
                            url = { https://universe.roboflow.com/image-ai-development/crack-segmentation-ryckv },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-05-15 },
                            }