CBLV2 Object Detection Dataset and Pre-Trained Model by ChessPieceDetection

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Explore Dataset

Here are a few use cases for this project:

Chess Game Analysis: CBLV2 can be used to analyze chess games in real time by tracking the positions of the chess-pieces and providing move suggestions or detecting illegal moves made by players.
Chess Tutorial and Education Platforms: The model can be integrated into chess learning platforms to monitor students’ progress, analyze the positions of chess-pieces during practice sessions, and generate personalized feedback or recommendations.
Chess-based Augmented Reality Applications: CBLV2 can be utilized in developing interactive augmented reality apps, where users can play chess on physical boards with virtual opponents, receive real-time assistance, or visualize complex strategies.
Automatic Chess Notation: Using the model to identify chess-pieces and their positions, CBLV2 can create written records of games in standard algebraic notation, simplifying the process of documenting and sharing game data.
Assisting Visually Impaired Chess Players: By integrating CBLV2 into audio-assisted applications or special chessboards, visually impaired players can receive audio guidance about the positions of pieces, facilitating a more inclusive chess-playing experience.

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{
                            cblv2_dataset,
                            title = { CBLV2 Dataset },
                            type = { Open Source Dataset },
                            author = { ChessPieceDetection },
                            howpublished = { \url{ https://universe.roboflow.com/chesspiecedetection/cblv2 } },
                            url = { https://universe.roboflow.com/chesspiecedetection/cblv2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-06-18 },
                            }