Presentations

Rock Paper Scissors Presentation

Object Detection

Roboflow Universe Presentations Rock Paper Scissors Presentation
2

Rock Paper Scissors Presentation Computer Vision Project

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Images

201 images
Explore Dataset

Use this to make a scoring app of rock paper scissors (Cheaters beware)!

This dataset contains images of the rock, paper, scissors hand gestures that are detected in the model and can be used in gaming. Repo with counter (Human vs Computer) here

This dataset needs additional data on:

  • diverse representaion
  • null images

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.

Cite This Project

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

@misc{
                            rock-paper-scissors-presentation_dataset,
                            title = { Rock Paper Scissors Presentation Dataset },
                            type = { Open Source Dataset },
                            author = { Presentations },
                            howpublished = { \url{ https://universe.roboflow.com/presentations/rock-paper-scissors-presentation } },
                            url = { https://universe.roboflow.com/presentations/rock-paper-scissors-presentation },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { mar },
                            note = { visited on 2024-04-22 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Rock Paper Scissors Presentation project in your project.

Source

Presentations

Last Updated

2 years ago

Project Type

Object Detection

Subject

hand-gestures

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Views in previous 30 days: 84

Downloads: 29

Downloads in previous 30 days: 3

License

CC BY 4.0

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