Rock Paper Scissors Classification Dataset - raw-300x300

# 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.

There are 2520 examples examples in the trianing set, 840 per class. The validation set contains 372 examples (124 per class). The test set contains 9 unlabeled images per class. (Note: in the source, Laurence calls "validation" as the "test," and "test" the "validation.")

# Examples




[Source](http://www.laurencemoroney.com/rock-paper-scissors-dataset/)

概述

通过劳伦斯·莫尼的描述：
> “剪刀石头布”数据集包含了来自不同种族、年龄和性别的各种手部图像，这些图像被摆成剪刀、石头或布的姿势，并相应地进行标注。您可以在此下载训练集，以及在此下载测试集。这些图像均采用计算机生成图像（CGI）技术生成，旨在探究基于CGI的数据集是否能够用于对真实图像的分类。此外，我还生成了一些可用于预测的图像，您可以在以下链接找到它们。

请注意，所有这些数据均以白色背景为背景。

每张图像均为300×300像素，24位颜色。

训练集中包含2520个示例，每类840个。验证集包含372个示例（每类124个）。测试集包含每类9张未标注的图像。（注：在原始资料中，劳伦斯将“验证集”称为“测试集”，而将“测试集”称为“验证集”。

示例

[来源](http://www.laurencemoroney.com/rock-paper-scissors-dataset/)