2D Geometric shapes with properties

The presented data is a set of 3,80,000 black and white images of a fixed resolution of 200 x 200 pixels Each image consists of one of the geometric shapes: Circle, Triangle, square, Rectangle, Rhombus, Parallelogram, Trapezium with one of the properties: diagonal, perpendicular, chord, radius, diameter., symbol showing sides are equal. In total 76 such classes are created. The background color is white and the foreground color when the shape is drawn is black. o A random rotation angle between -180° and 180°. A random shape perimeter. A random shape position inside the containing image. This dataset can be used for identification of shape using classification approach with deep learning. Choosing a 2D geometrical form dataset also helps understand the number of patterns in each class of particular shape.

本数据集包含380000张分辨率固定为200×200像素的黑白图像。每张图像内包含以下几何形状之一：圆形、三角形、正方形、矩形、菱形、平行四边形、梯形，且附带如下属性之一：对角线、垂线、弦、半径、直径，或是用于标示边长相等的符号，总计涵盖76个类别。数据集背景色为白色，图形绘制的前景色为黑色。每个图形会被随机赋予-180°至180°之间的旋转角度、随机的周长，以及在图像范围内的随机摆放位置。本数据集可用于基于深度学习分类方法的图形识别任务；选用二维几何形状数据集，还有助于探究特定形状各类别中蕴含的模式数量。

搜集汇总

背景与挑战

背景概述

该数据集包含380,000张200x200像素的黑白图像，涵盖圆形、三角形、正方形等几何形状及其属性（如对角线、垂直），共76个类别，具有随机旋转、周长和位置。它专为深度学习分类任务设计，用于形状识别和模式分析。