defectfull

dd

Object Detection

dd 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{
                            dd-efvma_dataset,
                            title = { dd Dataset },
                            type = { Open Source Dataset },
                            author = { defectfull },
                            howpublished = { \url{ https://universe.roboflow.com/defectfull/dd-efvma } },
                            url = { https://universe.roboflow.com/defectfull/dd-efvma },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-04-28 },
                            }
                        

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Source

defectfull

Last Updated

a year ago

Project Type

Object Detection

Subject

def

Views: 133

Views in previous 30 days: 0

Downloads: 6

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

C residue deviation large missing cupper large residue