Application of Computer Vision : Object Classification

Object classification from a photographic image is a complex process and is fast becoming an important task in the field of computer vision. Real-time object classification from images has been used in various fields such as healthcare, manufacturing, retail, etc. Object classification from photographic images is a technique that includes classifying or predicting the class of an object in an image, with a goal to accurately identify the feature in an image. Object classification includes labelling and classifying the images into predefined classes based on the feature/object observed. Object Classification from images is an important application in the domain of Computer Vision and the field involves different techniques and algorithms to acquire, analyse, and process the images. To put it common terms, Object Classification from images is a process of classifying and predicting the class of the objects in an image, with a goal to unambiguously distinguish the feature/object in the image. In general, object classification is an algorithm that takes in a set of features that represent the objects in the image and makes use of the same to predict the class for each object.