Have you ever wondered how Instagram filters work?
Or, how computers perform face detection in crowds?
Are you curious how virtual meeting applications blur the background or replace the background with other images?
How do self-driving cars navigate safely in a busy city environment?
Also, isn’t it amazing how the ball is tracked with such accuracy in televised sporting events such as Tennis, Soccer, and Basketball?
If we’ve piqued your curiosity then this course is what you need. Show your support by backing us right away and learn about topics in Computer Vision such as Object Tracking, Augmented Reality, Face Detection, Optical Flow, Human Pose Estimation and many more.
Unlike many Computer Vision courses available online, this hands-on course approaches Computer Vision more practically, experientially and intuitively. All you need is a working knowledge of the Python programming language. And, if you are not confident about your Python skills, we will direct you to some of the best-curated resources on Python, so that you come up to speed with Python in the shortest possible time.
In short, beginners, coding enthusiasts, start-up owners, Tony Stark fans – everyone is welcome to this introductory course.
OpenCV is the largest and the most popular Computer Vision library in the world. It is utilized by thousands of companies, products and devices, and is tested for scalability and performance every single day.
We, at OpenCV.org, are on a mission to educate a global workforce. We have been offering very comprehensive online courses in Computer Vision to professionals, job-seekers and enthusiasts from over 100 countries.
After the success of our first Kickstarter campaign in 2019, AI Courses By OpenCV.org, we want to make the practical knowledge of Computer Vision available to anyone who is interested in entering the world of Computer Vision.
Designed By Industry Experts: OpenCV For Beginners has been designed by our team of engineers and researchers, currently working in the field of Computer Vision and Deep Learning.
Powered By Python: The programming language of choice for this course is Python, one of the most comprehensive and widely used languages in AI.
Foundational & Experiential Learning: This course will help you develop essential understanding and practice of the subject matter before committing to more intermediate and advanced learning paths. This has been done using real-life examples which can be executed using your own data as well. As you proceed through the course, regular quizzes will also keep testing your level of understanding while providing important feedback to you.
Practical & Intuitive: The field of Computer Vision contains many theoretical underpinnings which can become a stumbling block for beginners, especially, when courses contain heavy mathematics. With this in mind, we have created this course with an emphasis on understanding through concrete, practical examples and explanations based on intuition rather than detailed mathematics which are covered in our advanced courses.
Once the course begins, we will provide you with extensive forum support in order to get you and your system ready for the course. We will always be there with you to troubleshoot any technical issues associated with software installation or executing any of the code provided in the course. Your questions will be answered by a team of instructors. In addition, we encourage you to brainstorm with your peers in the discussion forum and maybe even find a future collaborator to work with.
Each module in this well-structured course contains a tutorial introduction to a particular topic. This is followed by an application example to further reinforce the concepts. In these tutorials, we aim to provide the intuition necessary for true understanding as well as an explanation of the code. The applications developed in this course will be something you can actually use and build upon.
The unique curriculum offered in this course is aimed at providing you with a solid foundation in the field of Computer Vision. We will take great pride in each and everyone who completes it successfully. Upon completion of the course, we will award you with a digital certificate from OpenCV.org. You can showcase it across your social profiles and give a kickstart to your career and continued studies in the field of Computer Vision.
This course also gives you a fantastic chance to win lifetime access to another course of your choice. All you need to do is submit a project that you created during the course, end up in the top three of all submissions and get lifetime access to a course of your choice for FREE along with getting featured on the OpenCV.org website.
Have a look at some of the applications we plan to offer in this course.
Getting Started With Images
Basic Image Operations
Image Enhancement Techniques
Image Analysis
Augmented Reality
Computational Photography
Image Retrieval and Object Detection
Video Processing
OpenCV DNN Module
Text In Images (OCR)
Using OpenCV High-Level GUI For Creating Applications
Creating Web Applications Using Streamlit
Ethical And Socially Responsible Ways Of Using OpenCV
All courses offered in our Kickstarter bundles, including OpenCV For Beginners, are the only official and certified courses by OpenCV.org available online.
The courses are created in collaboration with Big Vision LLC, a California-based Computer Vision and Machine Learning consulting company. Big Vision LLC owns the popular Computer Vision blog LearnOpenCV.com, and is the exclusive and official course provider of OpenCV.org. Have a look at the industry experts that form our core course team.
