rock-paper-scissors Computer Vision Project

mySmoke

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Description

Background Information

This dataset was created as part of the World's Largest Game of Rock, Paper, Scissors talk and challenge introduced by Joseph Nelson and Salo Levy @ SXSW 2023.

World's Largest Game of Rock, Paper, Scissors Contest Announcement

  • the above image is linked to the entry page

Version 11: Deploy Tab Inference

  • the demo video was prepared from the Deploy Tab, and utilizes v11 (YOLOv8n-100epochs)

The dataset includes an aggregation of images cloned from the following datasets:

  1. https://universe.roboflow.com/brad-dwyer/egohands-public/ - null images
  2. https://universe.roboflow.com/presentations/rock-paper-scissors-presentation/
  3. https://universe.roboflow.com/team-roboflow/rock-paper-scissors-detection
  4. universe.roboflow.com/popular-benchmarks/mit-indoor-scene-recognition/

New images were added to the dataset and labeled to supplement the examples from the cloned datasets. Members of Team Roboflow, and more close friends of the team, are included in the dataset to assist with creating a more robust, generalized, model.

Example Labeled Image from the dataset: Two people playing Rock, Paper, Scissors

Participation Rules and FAQ

Contest Rules and FAQ

  • the above image is linked to the FAQ and contest entry page
Supervision

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Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            rock-paper-scissors-sxsw-sra9m_dataset,
                            title = { rock-paper-scissors Dataset },
                            type = { Open Source Dataset },
                            author = { mySmoke },
                            howpublished = { \url{ https://universe.roboflow.com/mysmoke/rock-paper-scissors-sxsw-sra9m } },
                            url = { https://universe.roboflow.com/mysmoke/rock-paper-scissors-sxsw-sra9m },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-12-24 },
                            }
                        
                    

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