UniSA ICT capstone 2022 SP2 02

Check tube status

Object Detection

Check tube status 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{
                            check-tube-status-oivkx_dataset,
                            title = { Check tube status Dataset },
                            type = { Open Source Dataset },
                            author = { UniSA ICT capstone 2022 SP2 02 },
                            howpublished = { \url{ https://universe.roboflow.com/unisa-ict-capstone-2022-sp2-02/check-tube-status-oivkx } },
                            url = { https://universe.roboflow.com/unisa-ict-capstone-2022-sp2-02/check-tube-status-oivkx },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-04-20 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Check tube status project in your project.

Last Updated

2 years ago

Project Type

Object Detection

Subject

broken-tube

Views: 44

Views in previous 30 days: 0

Downloads: 2

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

broken tube intact tube