Concrete Cracks Detection Computer Vision Project

ENSI

Updated a year ago

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Classes (4)
Bullet_imapct
Explosion_Impact
normal_crack
severe_crack

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Description

Here are a few use cases for this project:

  1. Infrastructure Health Monitoring: This model could be used by civil engineering companies or government bodies for assessing the integrity of structures like bridges, roads, tunnels and buildings. The classification of cracks could aid in prioritizing repair or maintenance requests based on the type and severity of detected cracks.

  2. Military Applications: In military or defense facilities, the detection of bullet impacts or explosion impacts using this model could be paramount in damage assessment, especially in war zones or during military training exercises.

  3. Insurance Claim Investigations: Insurance companies could use this model to assess damage to insured structures, helping to discern whether damage was due to general wear and tear (normal crack) or the results of severe incidents or deliberate harmful actions (bullet or explosion impacts).

  4. Disaster Assessment: In the wake of natural disasters like earthquakes or man-made disasters such as bombings, this model would help teams assess the safety of remaining structures, prioritize repairs and gather evidence for investigations.

  5. Historic Preservation: The model could be used by preservation societies or museums to monitor the condition of historic buildings and monuments over time, identify damage and take appropriate action whenever bullet impact, severe cracks or explosion impacts are detected.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            concrete-cracks-detection-kyzaz_dataset,
                            title = { Concrete Cracks Detection Dataset },
                            type = { Open Source Dataset },
                            author = { ENSI },
                            howpublished = { \url{ https://universe.roboflow.com/ensi-swy06/concrete-cracks-detection-kyzaz } },
                            url = { https://universe.roboflow.com/ensi-swy06/concrete-cracks-detection-kyzaz },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-09-27 },
                            }