Go Positions Computer Vision Project
Updated a year ago
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Synthetic dataset of black and white stones on go boards. Generated using Unity Perception
Use Case
To be able to take a picture of a go game and figure out the position of each stone in order to score the game or analyze with AI. Project inspiration stems from this blog post along with past ideas we've had for this: https://blog.roboflow.com/chess-boards/
Classes
blackStone
: Black go stones, 90,501
labels whiteStone
: White go stones, 89,963
labels grid
: Cross section grid of a go board, 1,000
labels
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
go-positions_dataset,
title = { Go Positions Dataset },
type = { Open Source Dataset },
author = { Synthetic Data },
howpublished = { \url{ https://universe.roboflow.com/synthetic-data-3ol2y/go-positions } },
url = { https://universe.roboflow.com/synthetic-data-3ol2y/go-positions },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-12-13 },
}