Sudoku Cell Vision Object Detection Dataset and Pre-Trained Model by Pete

Images

33 images

Explore Dataset

Here are a few use cases for this project:

Sudoku Solving App: Utilize the "Sudoku Cell Vision" model to create a mobile application or web-based tool that captures an image of a Sudoku puzzle, detects the filled and empty cells, and automatically solves the puzzle for users, providing step-by-step solutions if needed.
Sudoku Puzzle Generation: Use the model to analyze existing Sudoku puzzles and determine their difficulty level based on the number of filled cells and complexity. This data can be used to generate new puzzles with varying difficulty levels, providing personalized challenges for users.
Accessible Sudoku for Visually Impaired Players: Integrate the model into an app or tool that reads and interprets Sudoku puzzles for visually impaired individuals, providing audio descriptions of the cells, making it accessible for a wider audience to enjoy the game.
Sudoku Game Cheats and Hints: Implement the "Sudoku Cell Vision" model to design an app or web-service as an add-on for existing Sudoku gaming platforms that provides real-time hints, suggestions, or solutions for players when they are stuck or to validate their decisions.
Educational Tool for Logic and Critical Thinking: Design a suite of educational materials and applications leveraging the "Sudoku Cell Vision" model to teach logical thinking and problem-solving skills by presenting students with various Sudoku puzzles and solutions that adapt to their skill level.

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{
                            sudoku-cell-vision_dataset,
                            title = { Sudoku Cell Vision Dataset },
                            type = { Open Source Dataset },
                            author = { Pete },
                            howpublished = { \url{ https://universe.roboflow.com/pete-mksb1/sudoku-cell-vision } },
                            url = { https://universe.roboflow.com/pete-mksb1/sudoku-cell-vision },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { feb },
                            note = { visited on 2024-05-06 },
                            }