Roboflow Universe Chess Piece Detection Chess Piece Detection

Chess Piece Detection Computer Vision Project

Download this Dataset Try Pre-Trained Model

TRY THIS MODEL

Drop an image or

browse your device

Images

774 images

Explore Dataset

Here are a few use cases for this project:

Chess Game Analysis: This model can be used to analyze the arrangement of chess pieces from images of previous or ongoing matches for strategy development, game replay, or learning purposes.
Augmented Reality Chess: The model can be used in creating an Augmented Reality (AR) chess app where users can play chess with real physical pieces, and the app maintains the state of the game digitally.
Automated Chess Movement: In combination with robotic arms, the model can identify chess pieces and perform moves, enabling solo practice or game simulations.
Chess Broadcast Enhancement: The model can be utilized to create more engaging broadcasts of chess matches, automatically tracking and projecting the exact moves of the chess pieces onto a digital board for live-streaming viewers.
Chess Tutoring App: A learning tool for beginners, the model can identify pieces and suggest moves, teaching strategic gameplay and helping improve their game 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{
                            chess-piece-detection-sifm1_dataset,
                            title = { Chess Piece Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Chess Piece Detection },
                            howpublished = { \url{ https://universe.roboflow.com/chess-piece-detection/chess-piece-detection-sifm1 } },
                            url = { https://universe.roboflow.com/chess-piece-detection/chess-piece-detection-sifm1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-06-11 },
                            }