Tetromino Detection Computer Vision Project
Updated 16 days ago
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downloadThis dataset was gathered by screenshotting random matches from various sources, such as: YouTube, friends' gameplays, and personal gameplays. Such gameplays came from: Tetr.io; Jstris; Tetris 99; and Puyo Puyo Tetris 1 & 2. The focus of this project was to train Yolo v9 model and test its reliability on detecting and counting intrinsic components in Tetris, for instance: Tetris pieces; Queue; Hold; and Tetris Board. In nearly all modern Tetris games, the said components are mostly similar.
Each data in the dataset annotates the shape of Tetris objects and label them with their class name. The tool used for annotating the data was Roboflow. Regarding the labels, we use the appropriate Tetris' component names, i.e., I piece, J piece, L piece, O piece, S piece, T piece, Z piece, Hold, Queue, and Board.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
tetromino-detection_dataset,
title = { Tetromino Detection Dataset },
type = { Open Source Dataset },
author = { Trustacean and Yohpx },
howpublished = { \url{ https://universe.roboflow.com/trustacean-and-yohpx/tetromino-detection } },
url = { https://universe.roboflow.com/trustacean-and-yohpx/tetromino-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { oct },
note = { visited on 2024-11-13 },
}