Recochess Object Detection Dataset and Pre-Trained Model by Recochess

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Explore Dataset

Here are a few use cases for this project:

Chess Game Analysis: Use Recochess in analyzing the strategies used in historic or contemporaneous chess games. The computer vision model can be used to identify the pieces and their positions on the board at various stages of the game, providing a step-by-step tactical or strategic assessment.
Interactive Chess Guide: Integrate Recochess into an interactive learning application or e-learning website for teaching chess. The model can provide users with accurate feedback on move optimality, and suggest better moves or strategies based on the current pieces location.
Chess Stream Augmentation: Use Recochess to enrich live chess game broadcasting or streaming. The model can keep track of the real-time game positions to provide viewers with enhanced information like possible moves, strategies and checkmate opportunities.
Chess Robots: Incorporate Recochess into the AI of robotic chess players. It could be the vision system that perceives the board and the pieces, allowing the robot to plan and execute its moves.
Automated Chess Record Keeping: Use Recochess to automate the process of recording chess moves in tournaments and casual games. The computer vision system can monitor the game progression and produce a standard notation record for later analysis.

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{ recochess_dataset,
    title = { Recochess Dataset },
    type = { Open Source Dataset },
    author = { Recochess },
    howpublished = { \url{ https://universe.roboflow.com/recochess/recochess } },
    url = { https://universe.roboflow.com/recochess/recochess },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { nov },
    note = { visited on 2023-12-06 },
}