Final Dataset Object Detection Dataset and Pre-Trained Model by Weld 1

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Explore Dataset

Here are a few use cases for this project:

Welding Quality Control: This model can be implemented in manufacturing industries where welding is a vital part of the assembly process. It can help identify defects such as incorrect welding lines or porosity in real time, thereby reducing manual inspection time and cost, and improving overall product quality.
Automated Deficiency Reporting: The model can be used to automate the process of reporting welding deficiencies in large construction projects, such as building construction, shipbuilding, or bridge construction. This could ensure timely maintenance and prevention of potential structural issues.
Welding Training/Education: Education institutions or training centers teaching welding skills can use the model to provide learners with immediate feedback on their welding practice. This could help make the learning process more efficient and effective.
Monitoring Welds in Oil and Gas Pipelines: The model can be used to inspect and monitor the welding quality in oil and gas pipelines. This would ensure asset integrity, reduce risks of leaks and avoid potential environmental disasters.
In-Service Inspections for Aerospace: In the aerospace industry, the model can be used for in-service inspections to detect any weld defects in the aircrafts. This can prove crucial in ensuring safety by enabling corrective actions to be taken before any serious incident occurs.

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{
                            final-dataset-rc2vm_dataset,
                            title = { Final Dataset Dataset },
                            type = { Open Source Dataset },
                            author = { Weld 1 },
                            howpublished = { \url{ https://universe.roboflow.com/weld-1-mba6s/final-dataset-rc2vm } },
                            url = { https://universe.roboflow.com/weld-1-mba6s/final-dataset-rc2vm },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-29 },
                            }