Rock Paper Scissors SXSW Object Detection Dataset and Pre-Trained Model by Roboflow

Images

3129 images

Explore Dataset

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.

https://roboflow.com/rps

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:

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

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

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{
                            rock-paper-scissors-sxsw_dataset,
                            title = { Rock Paper Scissors SXSW Dataset },
                            type = { Open Source Dataset },
                            author = { Roboflow },
                            howpublished = { \url{ https://universe.roboflow.com/roboflow-58fyf/rock-paper-scissors-sxsw } },
                            url = { https://universe.roboflow.com/roboflow-58fyf/rock-paper-scissors-sxsw },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-04-25 },
                            }