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I would like to detect shapes namely circle, square, rectangle, triangle, etc., using Machine Learning Techniques.
Following are the specifications for shape detection,
Questions
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There is only one key idea: data has shape, and shape has meaning. In standard machine learning, the shape of the data is usually an afterthought. Topology puts the shape front and center — i.e., as being the most important aspect of your data.
Object detection and tracking based on a shape. The shape of an object can also be utilized as a global feature to detect an object with a distinct shape. This shape can be a straight line, polygons, circles, or any other irregular shapes.
Object detection algorithms typically leverage machine learning or deep learning to produce meaningful results. When humans look at images or video, we can recognize and locate objects of interest within a matter of moments. The goal of object detection is to replicate this intelligence using a computer.
Shape detection is an important part of Image Processing referring to modules that deal with identifying and detecting shapes of parts of image which differ in brightness,color or texture.
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