chess pieces Object Detection Dataset and Pre-Trained Model by tj gabor chess

Images

522 images

Explore Dataset

Here are a few use cases for this project:

Chess Game Analysis: Use the "chess pieces" computer vision model to analyze recorded chess games or live streaming matches to automatically track and record the moves made by each player. This data can be used to facilitate commentary, review games for improving player strategies, or generate GIFs and visualizations of game progress.
Online Chess Platforms: Integrate the computer vision model into online chess platforms and mobile apps to enable users to play chess by simply moving physical pieces on a real chessboard. The model can capture the positions of the pieces and update the digital board accordingly, allowing users to enjoy a more tactile and traditional experience while playing online.
Chess Tutoring: Use the "chess pieces" model to develop an AI-powered chess tutoring application that can analyze a student's movements on a physical board and provide real-time guidance, feedback, and suggestions for improvement. Such a tool can significantly engage and enhance the learning experience for beginners and intermediate players.
Augmented Reality Chess: The computer vision model can be employed to create augmented reality (AR) chess experiences for both entertainment and educational purposes. By identifying chess pieces and their positions on the board, the AR system can overlay annotations, suggested moves, and interactive elements on the physical board, making it more engaging for users.
Chess Content Curation: Implement the "chess pieces" model in content platforms or social media channels to automatically index and tag chess-related content for better categorization and discovery. Whether it's videos, articles, or images, the model can be used to accurately identify and classify content featuring chess elements, making it easier for users to find and consume relevant materials.

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-pieces-paoho_dataset,
                            title = { chess pieces Dataset },
                            type = { Open Source Dataset },
                            author = { tj gabor chess },
                            howpublished = { \url{ https://universe.roboflow.com/tj-gabor-chess/chess-pieces-paoho } },
                            url = { https://universe.roboflow.com/tj-gabor-chess/chess-pieces-paoho },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-04-29 },
                            }