vertical chess Object Detection Dataset and Pre-Trained Model by Instituto Superior Tcnico

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Explore Dataset

Here are a few use cases for this project:

Chess Training and Tutoring: Utilizing the "vertical chess" model, an application or website can be created to assist beginners and intermediate players in understanding and learning the game. Users can upload pictures of chess positions, and the model will identify the pieces and provide suggestions on potential moves or strategies.
Augmented Reality Gaming: With the model's capability of recognizing different chess pieces, an augmented reality (AR) chess application can be developed, where players can interact with physical chess sets and see real-time feedback, such as hints or move suggestions, on their mobile devices.
Automated Chess Analysis: By leveraging the "vertical chess" model, users can turn photos of historic or complex chess matches into digital representations that can be further analyzed using chess engine software. This would allow for the extraction of valuable insight, such as detecting strategies or measuring the quality of moves.
Accessible Gaming Interface: The model can be employed in creating an accessible gaming interface for the visually impaired or those with limited mobility. The software could recognize chess positions using images or videos, converting board states into voice commands or specific tactile sensations so that users can actively participate and enjoy the game.
Chess Competition Judging and Broadcasting: In live chess competitions, the "vertical chess" model can be applied to continuously analyze and output the board positions in real-time, enabling accurate game tracking, online broadcasting, and automatic alerts for significant events, such as checkmate or stalemate. This improves the viewing experience and facilitates the judges' ability to verify fair gameplay.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            vertical-chess_dataset,
                            title = { vertical chess Dataset },
                            type = { Open Source Dataset },
                            author = { Instituto Superior Tcnico },
                            howpublished = { \url{ https://universe.roboflow.com/instituto-superior-tcnico-hnqhv/vertical-chess } },
                            url = { https://universe.roboflow.com/instituto-superior-tcnico-hnqhv/vertical-chess },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-26 },
                            }