Classbaze

Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Learn OpenCV in 2 Hours with 6 Hands-On Projects in 2020

Learn the best of Computer Vision by working on real world applications. No Boring Stuff, Projects will help you learn
4.1
☆☆☆☆☆ 4.1/5
(3 reviews)
26 students
Created by
SRM Labs

8.0

Classbaze Grade®

8.1

Freshness

7.9

Popularity

7.5

Material

Detailed Analysis »

Learn the best of Computer Vision by working on real world applications. No Boring Stuff
Go to course »
Platform: Udemy
Price: check current price
Video: 1h 42m
Language: English
Next start: On Demand

Best Computer Vision classes:

Skillshare_logo_2020
Best Computer Vision classes on Skillshare »
Coursera Logo
Best Computer Vision classes on Coursera »
Pluralsight Logo
BestComputer Vision classes on PluralSight »
Udemy logo
Best Computer Vision classes on Udemy »
linkedin
Best Computer Vision classes on LinkedIn (Free trial) »

Classbaze Rating

Classbaze Grade®

8.0 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

8.1 / 10
This course was last updated on 10/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

7.9 / 10
We analyzed factors such as the rating (4.1/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

7.5 / 10
Video Score: 7.8 / 10
The course includes 1h 42m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 08 minutes of 36 Computer Vision courses on Udemy.
Detail Score: 9.2 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

In this page

About this course

  The course will teach you this
  What you need to START the course
  Who can start this course?
General questions
  Coupons & Discounts
  Guarantees & money back
  Financial aid
Teacher
Classbaze hand picked recommendations

About the course

Welcome to the ultimate online course on Computer Vision!
In this course we’ll go over everything you need to know to become an expert in computer vision! This $20 billion dollar industry will be one of the most important job markets in the years to come.
We’ll start the course by learning about the basics of the OpenCV library and how to open and manipulate images. Then will move on to using the library to understand how to process images and apply a variety of effects, including color mappings, blending, thresholds, gradients, and more.
Then we’ll move on to understanding video basics with OpenCV,. Afterwards we’ll learn about direct video topics, such as object detection, face detection, human pose detection etc.
We’ll look into state of the art technologies using the latest face recognition applications and using OpenPose to detect Human Poses
All in all, this course is designed to take a beginner in Python and get them experienced the advanced concepts in computer vision.

What can you learn from this course?

✓ Understand basics of OpenCV and Computer Vision
✓ Using OpenCV to work with image files
✓ Perform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations.
✓ Use Python and OpenCV to draw shapes on images and videos
✓ Create Face Detection Application
✓ Understand edge detection and it’s applications
✓ Create a Document Scanner Application
✓ Understand color profiles in images and how to selectively target them
✓ Create Object Detection Application, using simple color profiles
✓ Face Recognition using state of the art systems
✓ Human Pose Detection System
✓ Create a Face Mask Detection System

What you need to start the course?

• Having some background of Python will help, but not necessary

Who is this course is made for?

• Beginner students who are interested in learning Computer Vision by doing practical projects
• Programmers, college students or anyone enthusiastic about computer vision
• Those wanting to be on the forefront of the job market for the AI Revolution
• Anyone who wants to shorten training time and build state-of-the-art computer vision projects
• Students and professionals who want to take their knowledge of computer vision and deep learning to the next level

Are there coupons or discounts for Learn OpenCV in 2 Hours with 6 Hands-On Projects in 2020 ? What is the current price?

The course costs $14.99. And currently there is a 82% discount on the original price of the course, which was $18. So you save $3 if you enroll the course now.
The average price is $14.7 of 36 Computer Vision courses. So this course is 2% more expensive than the average Computer Vision course on Udemy.

Will I be refunded if I'm not satisfied with the Learn OpenCV in 2 Hours with 6 Hands-On Projects in 2020 course?

YES, Learn OpenCV in 2 Hours with 6 Hands-On Projects in 2020 has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Learn OpenCV in 2 Hours with 6 Hands-On Projects in 2020 course, but there is a $3 discount from the original price ($18). So the current price is just $14.99.

Who will teach this course? Can I trust SRM Labs?

SRM Labs has created 1 courses that got 3 reviews which are generally positive. SRM Labs has taught 26 students and received a 4.1 average review out of 3 reviews. Depending on the information available, we think that SRM Labs is an instructor that you can trust.

Learn everything about

SRM Labs

Computer Vision & Machine Learning Research Scientist
I am a Machine Learning, IoT Robotics, and Computer Vision Engineer.
I have a BS in Electrical & Communication Engineering and an MS in Electrical Engineering with specialization in Machine Learning and Computer Vision.
In my 8 yrs of experience as a research scientist, I have had the opportunity to work on state of the art technologies and solving real world problems using computer vision, machine learning and IoT. Where I gained extensive knowledge of machine learning, computer vision, and intelligent robotics.
In my role as a senior developer I have trained and taught several engineers and guided them in their respective project tasks. This has helped me in becoming a better teacher and mentor.
Browse all courses by on Classbaze.
SRM Labs's full profile and courses »
Go to class »

8.0

Classbaze Grade®

8.1

Freshness

7.9

Popularity

7.5

Material

Detailed Analysis »

Learn the best of Computer Vision by working on real world applications. No Boring Stuff
Go to course »
Platform: Udemy
Price: check current price
Video: 1h 42m
Language: English
Next start: On Demand

Classbaze recommendations for you

Other courses by ​SRM Labs

Go to class »