DENGmbH

RackInspectAIV2

Instance Segmentation

RackInspectAIV2 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{
                            rackinspectaiv2_dataset,
                            title = { RackInspectAIV2 Dataset },
                            type = { Open Source Dataset },
                            author = { DENGmbH },
                            howpublished = { \url{ https://universe.roboflow.com/dengmbh/rackinspectaiv2 } },
                            url = { https://universe.roboflow.com/dengmbh/rackinspectaiv2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-06-16 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the RackInspectAIV2 project in your project.

Source

DENGmbH

Last Updated

20 days ago

Project Type

Instance Segmentation

Subject

Nokia-Airscale

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Downloads: 0

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License

CC BY 4.0

Classes

ALCP2E Ericsson-Termination-Shelf-(24-Ports) Huawei-Router-ATN910D Huawei-Router-ATN950 Huawei-Router-ATN980C Nokia-Airscale OSA-5411-(IP-Clock) Spleißbox other_hardware_1HU other_hardware_2HU other_hardware_3HU other_hardware_4HU other_hardware_5HU other_hardware_6HU other_hardware_7HU rack_rails