Dataset 1 con segmentation Object Detection Dataset and Pre-Trained Model by dataset1

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Here are a few use cases for this project:

Aviation Maintenance: The model can be used to automate the inspection routine of aircraft cockpits and other parts of the aircraft, detecting those five common structural damages. Early detection and subsequent repair can contribute to safer and more efficient aviation operations.
Automobile Industry: The AI model can be applied to assess and inspect the condition of cars in production lines or used cars, identifying any imperfections such as dents, cracks, scratches or paint-offs before the car goes to market.
Building Inspection: In civil engineering, the model could be used to monitor the structural health of buildings or bridges, using the crack and dent detection capabilities to timely identify potential structural issues.
Insurance Claim Processing: Insurance companies could use this model to streamline their claim processing by automatically identifying damage in pictures of insured properties like cars, homes or commercial properties, that have been submitted for claims.
Artwork Preservation: Art galleries and museums could use this model to identify early signs of damage on art pieces (paint-off or cracks) and take preventative measures to help save valuable pieces of art.

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{
                            dataset-1-con-segmentation_dataset,
                            title = { Dataset 1 con segmentation Dataset },
                            type = { Open Source Dataset },
                            author = { dataset1 },
                            howpublished = { \url{ https://universe.roboflow.com/dataset1-yxabc/dataset-1-con-segmentation } },
                            url = { https://universe.roboflow.com/dataset1-yxabc/dataset-1-con-segmentation },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-04-29 },
                            }