HTTP418 Object Detection Dataset and Pre-Trained Model by new-workspace-l20xm

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Explore Dataset

Here are a few use cases for this project:

Smart Kitchen Inventory System: HTTP418 can be integrated into smart kitchen devices, helping users track and monitor different types of tea cups in their kitchen inventory. By identifying specific cups and distinguishing between them, users can more easily locate and manage their tea ware collection.
Tea Tasting and Pairing Recommendations: The model can be used in a tea-commerce platform to assist users in finding the perfect tea cup to match their preferred tea type. By recognizing specific tea cup classes, the platform can suggest tea varieties and optimal tea cup pairings, enhancing the user's tea drinking experience.
Customized Tea Cup Design: HTTP418 can be employed in designing user-customized tea cups based on their tea preferences. By identifying different cups-of-tea classes, the model can recognize popular design elements, themes, and colors to create a unique cup tailored to the user's taste.
Virtual Reality Tea Parties: The computer vision model can be integrated into virtual reality (VR) applications, allowing users to experience immersive tea parties with their friends. By identifying different tea cups, the model can enhance the realism of the virtual environment, making the experience more enjoyable and memorable.
Cultural Tea Exhibitions and Tourism: HTTP418 can be used in interactive museum exhibits and historical sites focused on tea-related traditions and culture. By identifying various tea cup types and styles, the model can provide visitors with detailed information about each tea ware's origin, cultural significance, and history. This would enhance the visitors' educational experience and appreciation for the art of tea drinking.

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{
                            http418_dataset,
                            title = { HTTP418 Dataset },
                            type = { Open Source Dataset },
                            author = { new-workspace-l20xm },
                            howpublished = { \url{ https://universe.roboflow.com/new-workspace-l20xm/http418 } },
                            url = { https://universe.roboflow.com/new-workspace-l20xm/http418 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-05-02 },
                            }