Tablewares Detector Computer Vision Project

National Central University

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Home Automation Application: This model can be integrated into home automation systems, for instance to alert homeowners if a particular tableware is missing from the table setting, helping to manage daily household tasks.

  2. Dishware Inventory Management: Restaurants, hotels, and catering businesses can use this model to automate inventory checking of dishware items, streamlining stock and order management processes.

  3. Elderly Care: The model could be used in the context of caregiving or assisted living facilities, notifying staff if a resident is missing necessary tableware for their meal or have not properly put away objects after use.

  4. Recycling/Biodegradable Initiatives: Local councils or environmental agencies could use this system to monitor the types of tableware people dispose of, aiding with decisions concerning recycling or biodegradable alternatives.

  5. Children's Educational Tool: An interactive game or app could employ this model to help children learn about different types of tableware, their names and their uses, supporting their learning and growth.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            tablewares-detector_dataset,
                            title = { Tablewares Detector Dataset },
                            type = { Open Source Dataset },
                            author = { National Central University },
                            howpublished = { \url{ https://universe.roboflow.com/national-central-university-hhckt/tablewares-detector } },
                            url = { https://universe.roboflow.com/national-central-university-hhckt/tablewares-detector },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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