Crack Detection-final Object Detection Dataset and Pre-Trained Model by ProjectsforDissertation

Images

854 images

Explore Dataset

Here are a few use cases for this project:

Pipeline Inspection: The "Crack Detection-final" model can be used by oil and gas companies to analyze and inspect their pipeline networks. Digital images of the pipelines can be analyzed to quickly spot cracks and flaws, leading to faster repairs and prevention of costly leaks and failures.
Infrastructure Maintenance: Government entities or civil engineers can employ the model to examine public infrastructure such as bridges, roads, and tunnels. The use of such technology could significantly boost efficiency and safety by providing early detection of potential structural damage.
Aircraft Safety Inspections: Aviation companies and authorities can use this model to detect cracks or deformities in airplane structures. Regular usage as part of aircraft maintenance could even preemptively detect issues, increasing the safety of flights.
Historical Architecture Conservation: This model could play a crucial role in preserving historical or heritage buildings. By catching cracks before they amplify, it could help prevent damage to invaluable architecture, ensuring preservation for future generations.
Auto-Industry Applications: Car manufacturers and garages can utilize the model to inspect vehicle parts for small cracks or deformities that might compromise safety. It can hence improve the quality control process, ensuring only robust components are used.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            crack-detection-final_dataset,
                            title = { Crack Detection-final Dataset },
                            type = { Open Source Dataset },
                            author = { ProjectsforDissertation },
                            howpublished = { \url{ https://universe.roboflow.com/projectsfordissertation/crack-detection-final } },
                            url = { https://universe.roboflow.com/projectsfordissertation/crack-detection-final },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-05-02 },
                            }