DUT

Farbic_error

Object Detection

Farbic_error 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{
                            farbic_error_dataset,
                            title = { Farbic_error Dataset },
                            type = { Open Source Dataset },
                            author = { DUT },
                            howpublished = { \url{ https://universe.roboflow.com/dut-uay31/farbic_error } },
                            url = { https://universe.roboflow.com/dut-uay31/farbic_error },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { oct },
                            note = { visited on 2024-02-21 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Farbic_error project in your project.

Source

DUT

Last Updated

a year ago

Project Type

Object Detection

Subject

Error

Classes

0 Crease_Error Float_Error Hole_Error Nep_Error Stain_Error

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Downloads: 3

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License

CC BY 4.0