Spilekort Object Detection Dataset and Pre-Trained Model by qwertyuiop

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Explore Dataset

Here are a few use cases for this project:

Digital Card Games: The "Spilekort" model could be used in digital card games for automatic recognition and tracking of cards on the table, improving accuracy and speed in real-time online card games.
Casino Surveillance: In physical casinos, this system can help to automatically track and record each play, aiding in dispute resolution, detecting any irregularities, potential cheating or card counting.
Accessibility Tools: This model can be used to create tools or apps that help visually impaired individuals play card games. The app could identify and read out the cards content to the player, making the gaming experience more accessible.
Card Sorting: The model can be employed in automatic card sorting machines at card game factories or casinos, ensuring accuracy in card packs.
Card Games Tutor Apps: The "Spilekort" model could be integrated into a card game tutoring app, providing real-time, accurate analysis of game situations, helping beginners learn strategies, and understand the mechanics of a game better.

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{
                            spilekort_dataset,
                            title = { Spilekort Dataset },
                            type = { Open Source Dataset },
                            author = { qwertyuiop },
                            howpublished = { \url{ https://universe.roboflow.com/qwertyuiop/spilekort } },
                            url = { https://universe.roboflow.com/qwertyuiop/spilekort },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-04-26 },
                            }