dataset corrosao Computer Vision Project

defect

Updated 2 months ago

0

views

0

downloads
Description

Here are a few use cases for this project:

  1. Pipeline Maintenance: The "dataset corrosao" could be used to detect corrosion in oil, gas, and water pipelines. This could assist in proactive maintenance and disaster prevention.

  2. Infrastructure Inspections: The dataset could be employed in public infrastructure inspections, such as bridges, tunnels, and other metal-based structures, to identify areas needing repair or replacement due to corrosion.

  3. Vehicle Health: In the automotive industry, this dataset can be used to identify corrosion on vehicle bodies, hence aiding in vehicle health assessments and reducing long-term damage and associated costs.

  4. Maritime Applications: This model could be of value in the maritime realm, allowing the detection of corrosion on ships, submarines, and offshore platforms, thereby improving maintenance schedules and preventing potential damage.

  5. Artwork Preservation: In museums or art restoration, the dataset could help identify corrosion on metallic elements of artwork, which would enable timely intervention and ensure the art's longevity.

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{
                            dataset-corrosao-faca2-gdebn_dataset,
                            title = { dataset corrosao Dataset },
                            type = { Open Source Dataset },
                            author = { defect },
                            howpublished = { \url{ https://universe.roboflow.com/defect-ivsz7/dataset-corrosao-faca2-gdebn } },
                            url = { https://universe.roboflow.com/defect-ivsz7/dataset-corrosao-faca2-gdebn },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { sep },
                            note = { visited on 2024-11-10 },
                            }