Samrat Sahoo

Rock Paper Scissors (Small)

Classification

Roboflow Universe Samrat Sahoo Rock Paper Scissors (Small)

Rock Paper Scissors (Small) Computer Vision Project

Images

900 images
Explore Dataset

Overview

Via Laurence Maroney:

Rock Paper Scissors contains images from a variety of different hands, from different races, ages and genders, posed into Rock / Paper or Scissors and labelled as such. You can download the training set here, and the test set here. These images have all been generated using CGI techniques as an experiment in determining if a CGI-based dataset can be used for classification against real images. I also generated a few images that you can use for predictions. You can find them here.

Note that all of this data is posed against a white background.

Each image is 300×300 pixels in 24-bit color.

Note: This is an smaller version of the original dataset which can be found here

Cite This Project

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

@misc{
                            rock-paper-scissors-(small)_dataset,
                            title = { Rock Paper Scissors (Small) Dataset },
                            type = { Open Source Dataset },
                            author = { Laurence Maroney  },
                            howpublished = { \url{ https://universe.roboflow.com/samrat-sahoo/rock-paper-scissors-(small) } },
                            url = { https://universe.roboflow.com/samrat-sahoo/rock-paper-scissors-(small) },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { jul },
                            note = { visited on 2024-03-28 },
                            }
                        

Connect Your Model With Program Logic

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Maintainer

Samrat Sahoo

Last Updated

3 years ago

Project Type

Classification

Subject

Hand-Signs

Views: 28

Views in previous 30 days: 2

Downloads: 3

Downloads in previous 30 days: 2

License

CC BY 4.0

Classes