Sageanschlag gap detection Object Detection Dataset and Pre-Trained Model by sgeanschlag

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Explore Dataset

Here are a few use cases for this project:

Industrial Quality Control: This computer vision model can be used to automatically detect manufacturing defects such as misalignments and gaps in parts such as pipes. Quick detection of such issues can help to significantly reduce the time needed for rectifications and enhance overall product quality.
Construction Industry: The model can be used for monitoring the alignment, gaps, and profiles of pipes, beams, and other structures during construction. This can help increase the precision and safety of the construction process.
Automotive manufacturing: In the creation of automobiles, precision and correct alignment of parts are crucial. This system could be used to identify any potential issues on assembly lines, increasing efficiency and reducing chances of defects before cars reach consumers.
Plumbing maintenance and repair: With this model, workers can easily find gaps or misalignments in water or gas pipelines, making repair jobs more efficient and increasing reliability of service delivery.
Archaeological use: When reconstructing old or potentially damaged artifacts, accurate alignment is important. The model can be used to identify any discrepancies or misalignments in the relic restoration process.

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{
                            sageanschlag-gap-detection_dataset,
                            title = { Sageanschlag gap detection Dataset },
                            type = { Open Source Dataset },
                            author = { sgeanschlag },
                            howpublished = { \url{ https://universe.roboflow.com/sgeanschlag/sageanschlag-gap-detection } },
                            url = { https://universe.roboflow.com/sgeanschlag/sageanschlag-gap-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-06-19 },
                            }