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Answer the following questions:
1. How do we see and understand objects?

2. What does Computer Vision aim to achieve in training machines?

Why is Computer Vision Important?

Computer Vision enables machines to perceive and interpret images and videos much like
humans. This ability unlocks numerous applications across industries, improving both accuracy
and decision-making.

Here are few more factors:

1. Better automation and faster work: Computer Vision helps
machines do jobs that take a lot of time for people, like
checking if products are made correctly in a factory. Machines

can look at many pictures very fast—much faster than humans.
This saves time and money.

2. More accurate results and smarter choices: Computer Vision
can find tiny details in pictures that humans might miss. It is
very useful in places like hospitals, where it helps doctors find

diseases, or in factories, where it checks for mistakes. This helps
people make better decisions.

3. Cool experiences with AR and VR: In Augmented Reality (AR)
and Virtual Reality (VR), Computer Vision mixes the real world with the digital world. For
example, it helps people try clothes online or find things by just taking a picture. In factories,
it helps with keeping track of items and finding broken things.

4. Helping humans see more: Computer Vision can show people things they might not notice
on their own. It gives extra information that helps people understand pictures, videos, and
their surroundings better.

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