Go Positions Dataset
收藏universe.roboflow.com2023-08-04 更新2025-01-21 收录
下载链接：
https://universe.roboflow.com/synthetic-data-3ol2y/go-positions
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资源简介：
Synthetic dataset of black and white stones on go boards. Generated using [Unity Perception](https://blog.roboflow.com/unity-perception-synthetic-dataset-tutorial/)
### 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
本数据集为围棋盘上黑白棋子之合成数据集，采用[Unity感知](https://blog.roboflow.com/unity-perception-synthetic-dataset-tutorial/)技术生成。
### 应用场景
旨在通过捕捉围棋比赛的照片，精确识别每颗棋子的位置，以实现计分或AI分析。项目灵感源于该博客文章以及我们过往关于棋盘的想法：https://blog.roboflow.com/chess-boards/
### 类别
- "blackStone": 黑色围棋子，标签数量为90,501
- "whiteStone": 白色围棋子，标签数量为89,963
- "grid": 围棋盘截面网格，标签数量为1,000
提供机构：
Roboflow
