ELTE

DIP

Object Detection

DIP 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{ dip-tq9hz_dataset,
    title = { DIP Dataset },
    type = { Open Source Dataset },
    author = { ELTE },
    howpublished = { \url{ https://universe.roboflow.com/elte-vwl1k/dip-tq9hz } },
    url = { https://universe.roboflow.com/elte-vwl1k/dip-tq9hz },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { nov },
    note = { visited on 2023-12-04 },
}

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

Source

ELTE

Last Updated

20 days ago

Project Type

Object Detection

Subject

defects

Classes

paint_peel, rivet_damage, rust, scratch

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Views in previous 30 days: 0

Downloads: 0

Downloads in previous 30 days: 0

License

MIT