Micro_wave_tunning Object Detection Dataset and Pre-Trained Model by DTU

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Explore Dataset

Here are a few use cases for this project:

Kitchen Appliance Manufacturers: These manufacturers can use the "Micro_wave_tunning" model to validate the designs and placement of tuning knobs or buttons across production lines, ensuring consistency and quality control.
Appliance Repair and Maintenance: Service technicians can use the system to help identify issues with microwave knobs or control panels by comparing real-time images to standardize models, helping them diagnose problems more quickly.
Assistive Technology Applications: The model can be used in applications for visually impaired people, to help identify the settings or adjustments needed on a microwave by detecting the positions of the knobs or buttons.
Education and Training: Can be employed in tutorials or simulations to teach users about operating various microwave models and demonstrate the functions of different knobs or buttons.
Microwave User Interfaces (UI): This model could help UI designers to benchmark and compare their designs with those on the market, identify trends or user preferences, or generate new design ideas for microwave controls.

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{
                            micro_wave_tunning_dataset,
                            title = { Micro_wave_tunning Dataset },
                            type = { Open Source Dataset },
                            author = { DTU },
                            howpublished = { \url{ https://universe.roboflow.com/dtu-q4xdg/micro_wave_tunning } },
                            url = { https://universe.roboflow.com/dtu-q4xdg/micro_wave_tunning },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-06-29 },
                            }