new camera 2023 game piece detection Computer Vision Project

orbit 1690 labeling team

Updated 2 years ago

52

views

1

download
Classes (2)
Purple-Cube
Yellow-Cone
Description

Here are a few use cases for this project:

  1. Board Game Augmentation: The model could be used to enhance a board game experience, identifying the position and type of game pieces in play, and providing digital aid such as scoring, tracking turns or aiding in strategy.

  2. Automated Game Piece Manufacturing Quality Control: Companies that produce board games or puzzles could implement this model in their production line to ensure the correct game pieces are being manufactured. It could identify any inconsistencies in shape or color of the game pieces.

  3. Game Design and Development: This model could be leveraged by game designers and developers to automatically create digital representations of real-world game components, facilitating the development process of digital or hybrid games.

  4. Assisting Visually Impaired Players: The model could be implemented into an application that helps visually impaired individuals play games by identifying and verbally describing the location and type of game pieces on a board.

  5. Interactive Learning Environment: Schools or educational organizations can use this model to create an immersive learning experience. It could be integrated into an intelligent system that guides children through learning games, identifying pieces and explaining rules.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

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{
                            new-camera-2023-game-piece-detection_dataset,
                            title = { new camera 2023 game piece detection Dataset },
                            type = { Open Source Dataset },
                            author = { orbit 1690 labeling team },
                            howpublished = { \url{ https://universe.roboflow.com/orbit-1690-labeling-team/new-camera-2023-game-piece-detection } },
                            url = { https://universe.roboflow.com/orbit-1690-labeling-team/new-camera-2023-game-piece-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-11-21 },
                            }