Cards recognition

cards recognition

Object Detection

cards recognition Computer Vision Project

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Here are a few use cases for this project:

  1. Poker Game Analysis: The "cards recognition" model could be used for analyzing online poker games. It could identify players' actions, the card in play, and decision-making patterns, thereby creating player profiles for game strategy development.

  2. Game Streaming Platforms: Within platforms like Twitch, the model could help streamers automate game commentary and create real-time analytics during a live poker game stream, offering a new and interactive experience for viewers.

  3. Cheating Detection: The model could be used in online games to monitor and detect potential cheating. By recognizing patterns in cards and player actions, the system could flag suspicious activities, helping maintain fairness in the game.

  4. AI Game Bot Development: The model could be used in the development of AI bots for card games. By understanding players' actions and card classes, the AI can determine optimal strategies and improve its gameplay over time.

  5. Enhanced Search for Game Moments: Within a gaming platform, the model could be used to enhance search functionality by tagging game moments. Users could search for specific game events or strategies used, allowing them to learn and improve their skills.

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{
                            cards-recognition-susfk_dataset,
                            title = { cards recognition Dataset },
                            type = { Open Source Dataset },
                            author = { Cards recognition },
                            howpublished = { \url{ https://universe.roboflow.com/cards-recognition-pvfc0/cards-recognition-susfk } },
                            url = { https://universe.roboflow.com/cards-recognition-pvfc0/cards-recognition-susfk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-05-06 },
                            }
                        

Connect Your Model With Program Logic

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Last Updated

9 months ago

Project Type

Object Detection

Subject

cards

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Views in previous 30 days: 39

Downloads: 6

Downloads in previous 30 days: 2

License

CC BY 4.0

Classes

' 10C 10D 10H 10S 2C 2D 2H 2S 3C 3D 3H 3S 4C 4D 4H 4S 5C 5D 5H 5S 6C 6D 6H 6S 7C 7D 7H 7S 8C 8D 8H 8S 9C 9D 9H 9S AC AD AH ALL-IN ALL-IN RUBY AS BET BET 1/3 POT BET 2.5x BET 2/3 POT BET 3x CALCULAT CALL CHECK CONFILM DI' DILL' DILLER FOLD JC JD JH JS KC KC\ KD KH KS NABOR NABOR . NABOR 0 NABOR 1 NABOR 2 NABOR 3 NABOR 4 NABOR 5 NABOR 6 NABOR 7 NABOR 8 NABOR 9 Nick name PLAYER Player action raice Player setting out Player's bet Pot QC QD QH QS RAISE RISE Stack BB Stack Cheeps \ player Big Blind player Smail Blind player actions Bet player actions Call player actions Check player actions Fold player actions Raise player actions all-in pls sm