detect_corrosion_is Computer Vision Project

computervision

Updated 9 months ago

900

views

69

downloads
Description

Here are a few use cases for this project:

  1. Infrastructure Maintenance: The model can be used for periodic checks of infrastructure such as bridges, railway tracks, pipelines etc. By identifying areas displaying signs of corrosion, maintenance teams can focus their resources more effectively.

  2. Marine Vessel Inspection: The automation of corrosion detection on ships and submarines can aid maritime industries in maintaining the safety and longevity of their vessels.

  3. Oil & Gas Industry: The model can be deployed for inspection of oil and gas equipment. Early detection of corrosion can prevent potential accidents and equipment failures.

  4. Automotive Industry: Car manufacturers can utilize the model in quality control, helping them identify corrosion in vehicle components and ensuring longer lifespan for vehicles.

  5. Art Conservation: The model could be used in the maintenance and preservation of metal-based artworks and monuments, providing early warnings for any corrosion related damages.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

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{
                            detect_corrosion_is_dataset,
                            title = { detect_corrosion_is Dataset },
                            type = { Open Source Dataset },
                            author = { computervision },
                            howpublished = { \url{ https://universe.roboflow.com/computervision-a8zib/detect_corrosion_is } },
                            url = { https://universe.roboflow.com/computervision-a8zib/detect_corrosion_is },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { dec },
                            note = { visited on 2024-09-28 },
                            }