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Object Classification by Humans and Computers/Machines
"Object classification" is still a challenge/issue in computer vision systems. For the Humans, it's not an effort to
recognise the multitude of objects in an image. There are various approaches that have been used over the decades
to achieve the near human object classification, and the latest is the Deep Neural Networks, it is a class of human
brain inspired algorithms. It tends to achieve near human object classification and in some cases even better.
To understand in simple language, say we have a cup. As a human, our system is able to simply see it and identify
it as a cup. But when we talk about computers to identify it as a cup, it has to be fed with the information about
the cup in the form of images, etc, for it to be able to recognise it as a cup. So the process of identifying Cup as a
cup and not glass using the Machine Learning algorithm through computer vision is object classification.
How Does an Object Classified?
Computer Vision
Bowl, grapes, apple, orange,
watermelon, banana
Sensing Interpreting
Input Output
device device
Human Vision
Bowl, grapes, apple, orange,
watermelon, banana
Input Eye Brain Output
Machine Learning
Machine learning is an application of Artificial Intelligence (AI) that enables systems to learn and improve automatically
from experience without the need for explicit programming. It focuses on the development of computer programs
that can access data and use it to learn. Data is critical for machine learning to work. The more data the machine is
given (assuming that this data is reliable), with each iteration the more accurate is its prediction.
Artificial Intelligent machines that think
Intelligence and act like human beings
Machine
Learning Systems learn things without
being programmed to do so
Deep Subset of ML which make the
Learning computation of multi-layer neural
network feasible.
Machine learning is a subset of AI which uses statistical methods to enable machines to improve decision making
with experience. It is one of the most popular techniques to build AI systems across the globe. It is the science of
getting machines to interpret, process and analyse data in order to solve problems. It provides us statistical tools
to explore the data. Machine Learning has a subset of Deep Learning that is inspired by the functionality of our
brain cells called neurons which led to the concept of artificial neural networks. It is a process of implementing
neural networks on high dimensional data to gain insight and form solutions.
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