NED University

tear-and-adhesion

Object Detection

tear-and-adhesion Computer Vision Project

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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{
                            tear-and-adhesion_dataset,
                            title = { tear-and-adhesion Dataset },
                            type = { Open Source Dataset },
                            author = { NED University },
                            howpublished = { \url{ https://universe.roboflow.com/ned-university-vx4x6/tear-and-adhesion } },
                            url = { https://universe.roboflow.com/ned-university-vx4x6/tear-and-adhesion },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-05-08 },
                            }
                        

Connect Your Model With Program Logic

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Last Updated

a year ago

Project Type

Object Detection

Subject

defects

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Views in previous 30 days: 2

Downloads: 0

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License

CC BY 4.0

Classes

A_adhesion A_tear M_adhesion M_tear POB_marginal POB_unacceptable U_adhesion U_tear dent_marginal dent_unacceptable scuff_marginal scuff_unacceptable