Michael Grüner

Mobile Chess

Object Detection

Mobile Chess Computer Vision Project

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Explore Dataset

Here are a few use cases for this project:

  1. Digital Chess Coaching: The Mobile Chess model can be used in developing a chess coaching app where users can upload images of real-life chess boards or digital games. The app will identify the positions of each piece and provide move suggestions, tactics, and strategies based on the current board state.

  2. Chess Game Reconstruction: The model can be employed to rebuild past chess games from a series of images or print materials, such as books, news articles, or photographs. By identifying the pieces and their positions, it can recreate a digital version of the game to be analyzed or shared.

  3. Live Chess Commentary: The Mobile Chess model can assist in live streaming chess events, using real-time visual information from the board to assist commentators in discussing moves, strategies, and ongoing games. The model's accurate identification of pieces can help improve the overall workflow and enable easier tracking of games.

  4. Chess Archiving and Database Management: The model can aid in cataloging chess games from various sources, such as photographs or videos, automatically detecting the piece positions and creating indexed records of each game state. This allows for easier search, comparison, and analysis of games in the database.

  5. Accessible Gameplay: The Mobile Chess model can be used to develop accessible chess apps or tools for visually impaired players. By recognizing and classifying chess pieces from images, it can provide a reliable way to communicate the current state of the board and possible moves to players with reduced vision, allowing them to play effectively.

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:

                            title = { Mobile Chess Dataset },
                            type = { Open Source Dataset },
                            author = { Michael Grüner },
                            howpublished = { \url{ https://universe.roboflow.com/michael-gruner/mobile-chess } },
                            url = { https://universe.roboflow.com/michael-gruner/mobile-chess },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-06-15 },

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Mobile Chess project in your project.

Last Updated

a year ago

Project Type

Object Detection



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CC BY 4.0


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