Computer Vision with Python

Unlock the world of Computer Vision! Learn to create stunning image processing apps with Python in a fun and friendly way. Join now!

  • Overview
  • Curriculum
  • Instructor
  • Review

Brief Summary

This course is all about Computer Vision with Python, perfect for newbies who want to dive into creating cool apps. You'll learn by doing, and we'll tackle everything from theory to practical coding together!

Key Points

  • Learn the basics of Computer Vision.
  • Use Python to create image processing apps.
  • Build a portfolio with exciting projects like face detection and reverse image search.

Learning Outcomes

  • Understand key Computer Vision concepts.
  • Create various multimedia and image processing applications.
  • Gain confidence in using OpenCV and other tools.

About This Course

Introduction to Computer Vision, make vision apps

Introduction course to Computer Vision with Python. 

  • Make Computer Vision Apps?

  • Learn Computer Vision theory?

  • Build a strong portfolio with Computer Vision & Image Processing Projects?

  • Looking to add Computer Vision algorithms in your current software project ?

Whatever be your motivation to learn Computer Vision, I can assure you that you’ve come to the right course.

This course is tailor made for an individual who wishes to transition quickly from an absolute beginner to a Computer Vision expert in a few weeks. The most difficult concepts are explained in plain and simple manner using code examples.

We will build:

  • Multimedia apps

  • Image Similarity apps

  • Obect Detection apps

  • Face detection apps

  • Reverse Image Search app

I personally guarantee this is the number one course for you. This may not be your first OpenCV course, but trust me - It will definitely be your last.

I assure you, that you will receive fast, friendly, responsive support by email, and on the Udemy.

Don't believe me? I offer a full money back guarantee, so long as you request it within 30 days of your purchase of the course.

Also the course is updated on a regular basis to add more new and exciting content.

Join the course right now.  So what are you waiting for ?

Let’s meet at the other side of the course.

  • Do image processing

  • Use basic Computer Vision techniques

  • Build: Image Similarity app

Instructor

Profile photo of Frank Anemaet
Frank Anemaet

Unlock Your Potential in Cyber Security, Ethical Hacking and Software Engineering!As an experienced professional, I'm here to help you achieve greatness in the world of technology. With my practical expertise and proven strategies, I offer hands-on courses that will strengthen your skills and boost your confidence.Learn how to protect digital systems, identify vulnerabilities, and ethically hack into systems to reinforce...

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Review
4.9 course rating
4K ratings
ui-avatar of Mohammed Baih
Mohammed B.
5.0
10 months ago

Un cours bien structuré, et qui répond au besoin

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ui-avatar of Sahil Saurav
Sahil S.
4.0
1 year ago

it was a nice experience but it could be more elaborative with coding part

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ui-avatar of Zahra ghanbarpour
Zahra G.
4.0
1 year ago

it was usefull for getting to know and understand the subject of image detection and opencv library in python , but not enough and not detailed .

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ui-avatar of Ayon Rahman
Ayon R.
3.5
1 year ago

Good Exprience

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ui-avatar of Shehzad Ibrahim
Shehzad I.
3.0
2 years ago

very short ,certainly not fit for paid but great for introduction as a free course.If a big project would have been there the it would have been worth it.

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ui-avatar of Yusuf Usman Kwajaffa
Yusuf U. K.
5.0
2 years ago

It was an amazing course. The videos were short and straight to the point

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ui-avatar of Harish Balaji Sivasankaran
Harish B. S.
5.0
2 years ago

OK super

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ui-avatar of Fernando Cáceres
Fernando C.
3.0
2 years ago

Muy interesante

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ui-avatar of Nicolas Loyola
Nicolas L.
5.0
2 years ago

un curso bastante bueno a nivel de introducción a Open CV. Espero ver contenido más avanzado en futuros cursos.

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ui-avatar of Shinzo Takahashi
Shinzo T.
2.0
3 years ago

not much explanation and code already seemed completed at beginnings

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