Dice Object Detection Dataset and Pre-Trained Model by zoom

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Here are a few use cases for this project:

Board Game Assistants: This Dice model can be used in a digital assistant for board games. It would help users track dice results automatically, thereby enhancing the experience for games involving dice such as Monopoly, Yahtzee, or Dungeons and Dragons.
Educational Games Development: Educational organizations and ed-tech companies can use this model to develop interactive learning games or applications that teach probability, math or statistics through a dice game.
Gambling Supervision: Casinos or online gambling platforms can apply the model to monitor dice games and ensure fair play, automatically and meticulously track game statistics, and verify or dispute any contentious throws.
Virtual Reality Gaming: The Dice model can be integrated into VR gaming systems to interact with physical dice. For instance, in a VR board game setup, the model can compute the numbers rolled on the dice and translate that into the virtual game.
Assistive Technology for Visually-Impaired: Application for visually impaired people, where the app can detect the number rolled on a dice and communicate it via audio, enabling visually impaired people to participate in dice-based games.

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{
                            dice-1nsjm_dataset,
                            title = { Dice Dataset },
                            type = { Open Source Dataset },
                            author = { zoom },
                            howpublished = { \url{ https://universe.roboflow.com/zoom-awet2/dice-1nsjm } },
                            url = { https://universe.roboflow.com/zoom-awet2/dice-1nsjm },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { oct },
                            note = { visited on 2024-04-29 },
                            }