HUST

Riichi Mahjong

Object Detection

1

Riichi Mahjong Computer Vision Project

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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{
                            riichi-mahjong_dataset,
                            title = { Riichi Mahjong Dataset },
                            type = { Open Source Dataset },
                            author = { HUST },
                            howpublished = { \url{ https://universe.roboflow.com/hust-xq5rx/riichi-mahjong } },
                            url = { https://universe.roboflow.com/hust-xq5rx/riichi-mahjong },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { dec },
                            note = { visited on 2024-04-28 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Riichi Mahjong project in your project.

Source

HUST

Last Updated

4 months ago

Project Type

Object Detection

Subject

mahjong-tiles

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Views in previous 30 days: 7

Downloads: 0

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License

CC BY 4.0

Classes

1man 1pin 1sou 2man 2pin 2sou 3man 3pin 3sou 4man 4pin 4sou 5man 5pin 5sou 6man 6pin 6sou 7man 7pin 7sou 8man 8pin 8sou 9man 9pin 9sou chun east haku hatsu north south west
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