DGU

RCNN

Object Detection

RCNN 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{
                            rcnn-64ys2_dataset,
                            title = { RCNN Dataset },
                            type = { Open Source Dataset },
                            author = { DGU },
                            howpublished = { \url{ https://universe.roboflow.com/dgu-exhvr/rcnn-64ys2 } },
                            url = { https://universe.roboflow.com/dgu-exhvr/rcnn-64ys2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { dec },
                            note = { visited on 2024-05-19 },
                            }
                        

Connect Your Model With Program Logic

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

Source

DGU

Last Updated

6 months ago

Project Type

Object Detection

Subject

defect

Views: 12

Views in previous 30 days: 0

Downloads: 0

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

Others Porosity Porotisy Slag slag inclusion
weld-lop-crack-null-prosity-slag
259 images
lop-crack-null.porosity-slag-tqd7
259 images
lop-crack-null.porosity-slag
259 images