![]() The geometric shapes were generated by using the turtle library and the Python programming language.Įach geometric shape was drawn on a 200 × 200 pixel image, and each shape has a random background colour, random filling colour, a random position inside the image, an arbitrary rotation angle between -180° and 180°, and a random perimeter under the condition that the drawn shape must be fully visible inside the containing image.Įach geometric shape was drawn 10 000 times under the conditions described above, and each image was saved into a PNG image. Moreover, the choice of a 2D geometrical shape dataset provides the ability to understand as well to have good knowledge of the number of patterns stored inside each data class.Īutomatically generated 2D geometric shapes dataset that contains nine types of shapes (Triangles, Squares, Pentagons, Hexagons, Heptagons, Octagons, Nonagons, Circles and Stars) is a 3D shape with 2 flat surface at the top and the bottom and a continuing surface that is curved. The fact that this dataset is generated synthetically provides the ability to use it to study the behaviour of machine learning models independently of the nature of the dataset or the possible noise or data leak that can be found in any other datasets. Yes, the famous pyramid of Egypt is considered a 3D shape. The proposed dataset aims to provide a perfectly clean dataset, for classification as well as clustering purposes. This paper also includes a GitHub URL to the generator source code used for the generation, which can be reused to generate any desired size of data. (iii) It is a closed figure with three straight sides. (ii) It has one pair of opposite sides parallel to each other while the other two sides are non-parallel. Each class is composed of 10k generated images. Example 3: Match the 2D shape with its property. The published dataset is composed of 9 classes of data, and each class represent a type of geometric shape (Triangle, Square, Pentagon, Hexagon, Heptagon, Octagon, Nonagon, Circle and Star). ![]() In general, plane figures made of lines are known as polygons. Also, these figures can have any number of sides. Straight or curved lines make up the sides of this shape. In other words, a plane object that has only length and breadth is 2 dimensional. Three-dimensional, or 3D, objects are different than 2D objects because. The rotation angle of each shape is chosen randomly for each image within an interval between -180° and 180°, as well as the background colour of each image and the filling colour of each shape are selected randomly and independently. In geometry, a shape or a figure that has a length and a breadth is a 2D shape. A mathematical plane is a flat surface (it has length and width) that can go on forever. During the generation of this dataset, the perimeter and the position of each shape are selected randomly and independently for each image. Check out our Math Dictionary For Kids And Parents. In this paper, we present a data article that describes a dataset of nine 2D geometric shapes, and each shape is drawn randomly on a 200 × 200 RGB image. Definitions and examples of 2D shapes, plus a list of 2D shape names and properties for elementary school.
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