Name: New crack Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

3541 images

Explore Dataset

Here are a few use cases for this project:

Infrastructure Maintenance: Civil engineers or inspectors can use this model to assess the health of public infrastructure, such as bridges, roads, or buildings. By detecting different types of cracks, it can help prioritize repair work and schedule maintenance activities.
Safety Inspections in Factories: This model can be utilized in industrial settings to identify cracks in machinery, equipment, or factory floors. Early detection can prevent accidents, maintain operational safety, and reduce downtime due to unexpected equipment failure.
Historical and Architectural Conservation: Experts in heritage conservation can leverage this model to detect cracks in historical monuments or architectural sites. Detecting and fixing cracks at the earliest can help conserve these structures for longer periods.
Aerospace and Automotive Industries: The model can be used for inspecting aircraft and vehicle parts for any cracks. Rendering these components safe will ensure the overall safety of vehicles while drastically reducing the risk of malfunctions.
Pipeline and Tank inspections: In the oil and gas industry, or any industry that uses large storage tanks and long networks of pipes, this model can aid in identifying cracks that may lead to dangerous leaks if not repaired in a timely manner.

Cite This Project

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

@misc{
                            new-crack_dataset,
                            title = { New crack Dataset },
                            type = { Open Source Dataset },
                            author = { sanha choi },
                            howpublished = { \url{ https://universe.roboflow.com/sanha-choi/new-crack } },
                            url = { https://universe.roboflow.com/sanha-choi/new-crack },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { dec },
                            note = { visited on 2024-04-28 },
                            }