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Learn to build real time object detection in video

Learn to build real time object detection in video and images using YOLO algorithm
3.8
3.8/5
(7 reviews)
20 students
Created by

8.4

CourseMarks Score®

8.5

Freshness

8.7

Feedback

7.4

Content

Platform: Udemy
Video: 1h 51m
Language: English
Next start: On Demand

Top Object Detection courses:

Detailed Analysis

CourseMarks Score®

8.4 / 10

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

Freshness Score

8.5 / 10
This course was last updated on 4/2020.

Course content can become outdated quite quickly.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.

Student Feedback

8.7 / 10
We analyzed factors such as the rating (3.8/5) 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.

Content Score

7.4 / 10
Video Score: 7.8 / 10
The course includes 1h 51m 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 3 hours 13 minutes of 16 Object Detection courses on Udemy.
Detail Score: 8.8 / 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.

Table of contents

Description

Course Description
Learn to build real time object detection engine using YOLO deep learning algorithm.  Deep learning is popular where a machine can be trained to detect objects in video and images.  Once trained, it can be used to detect objects in any video or image.
Yolo (You only look Once) algorithm has become popular because of its real time nature. It can detect objects at 45 frames per second or within 20 ms. This makes it attractive to use it in self driving car where detecting objects in real time is key to avoid collisions. Unlike its predecessor, YOLO looks at image only once.

Build a strong foundation in image search engines  with this tutorial for beginners.
•Understanding fundamentals of YOLO
•Understanding fundamentals of deep learning and CNN 
•Benefits of YOLO for self driving car use case
•Build a real life object detection in video  using YOLO, OpenCV and Python
•Build a real life object detection in image  using YOLO, OpenCV and Python

•A Powerful Skill at Your Fingertips  Learning the fundamentals of real time object detection  puts a powerful and very useful tool at your fingertips. Python, YOLO and opencv are free, easy to learn, has excellent documentation.
No prior knowledge of CNN or deep learning is assumed. I’ll be covering topics like CNN from scratch.
Jobs in object detection area are plentiful, and being able to learn real time object detection will give you a strong edge. YOLO is  state of art technology that can quickly help you achieve your goal.
Learning object detection with YOLO will help you become a computer vision developer which is in high demand.

Content and Overview  
This course teaches you on how to build real time object detection engine using open source YOLO, OPNCV and Python .  You will work along with me step by step to build following answers
•Real time object detection in Video
•Real time object detection in image
•Fundamentals of CNN and YOLO

What am I going to get from this course?
•Learn YOLO and build real time object detection engine from professional trainer from your own desk.
•Over 10 lectures teaching you how to build real time object detection engine
•Suitable for beginner programmers and ideal for users who learn faster when shown.
•Visual training method, offering users increased retention and accelerated learning.
•Breaks even the most complex applications down into simplistic steps.
•Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.

You will learn

✓ Real time object detection using YOLO

Requirements

• No

This course is for

• Beginner Python developers who are curious about data science

How much does the Learn to build real time object detection in video course cost? Is it worth it?

The course costs $11.99. And currently there is a 52% discount on the original price of the course, which was $24.99. So you save $13 if you enroll the course now.
The average price is $23.9 of 16 Object Detection courses on Udemy.

Does the Learn to build real time object detection in video course have a money back guarantee or refund policy?

YES, Learn to build real time object detection in video has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Learn to build real time object detection in video course, but there is a $13 discount from the original price ($24.99). So the current price is just $11.99.

Who is the instructor? Is Evergreen Technologies a SCAM or a TRUSTED instructor?

Evergreen Technologies has created 45 courses that got 373 reviews which are generally positive. Evergreen Technologies has taught 20,300 students and received a 3.6 average review out of 373 reviews. Depending on the information available, Evergreen Technologies is a TRUSTED instructor.
Software Mentor
Over 20 years of experience in  programming applications in Fortune 500 companies. I have written 2 books on software design patterns and performance tuning that are published on kindle, nook and ibooks.  So far I have taught react.js, nunit, Chatbot , several courses on machine learning and design patterns.  I have also been working in machine learning area for many years. My passion is leverage my years of experience to teach students in a intuitive and enjoyable manner. I spent many years at fortune 500 companies, developing and managing the technology that automatically delivers SaaS applications to hundreds of millions of customers.  I have started my own successful company, Evergreen Technologies in 2019, which focuses on online education. I have over 8000 students spread over 145 countries on Udemy. I am also available for technical consultation, resume screening and conducting technical interviews of candidates to expedite hiring.

8.4

CourseMarks Score®

8.5

Freshness

8.7

Feedback

7.4

Content

Platform: Udemy
Video: 1h 51m
Language: English
Next start: On Demand

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