Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries such as self-driving cars, robotics, augmented reality, face detection in law enforcement agencies. In this beginner-friendly course you will understand about computer vision, and will learn about its various applications across many industries.
This course is part of the IBM Applied AI Professional Certificate
Introduction to Computer Vision with Watson and OpenCV
Offered By
About this Course
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Skills you will gain
Artificial Intelligence (AI)OpencvComputer Visionwatson
Shareable Certificate
Earn a Certificate upon completion
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Beginner Level
Approx. 14 hours to complete
Suggested: 4 weeks of study, 3-4 hours/week (Approximately 15 hours to complete)
English
Subtitles: English
Syllabus - What you will learn from this course
1 hour to complete
Introduction to Computer Vision
This short module will introduce you to the field of computer vision. We will cover the course expectations and highlight how computer vision is making an impact across various industries. You will also be introduced to the tools used in computer vision.
1 hour to complete
5 videos (Total 19 min), 2 readings, 2 quizzes
5 videos
Introduction to Computer Vision4m
Applications of Computer Vision3m
Recent Research in Computer Vision4m
Brainstorming Your Own Applications3m
2 readings
Welcome2m
Articles10m
2 practice exercises
Practice Assessment8m
Graded - (10%) Overview of Computer Vision and its Applications20m
1 hour to complete
Image Classification with IBM Watson
In this module, we start by introducing the topic of image classification. We will then talk about Watson Visual Recognition, an industry-leading service provided by IBM that is used for image classification. Finally, you will create your own instance of Watson Visual Recognition and will use it to upload images and perform image classification. Let's get started!
1 hour to complete
6 videos (Total 24 min), 1 reading, 2 quizzes
6 videos
Watson Visual Recognition in Action2m
Getting Started with Watson Visual Recognition2m
Classification with Watson Visual Recognition2m
Working with Custom Classifiers5m
Custom Image Classifiers with IBM Watson4m
1 reading
LAB: Classifying Images with IBM Watson30m
2 practice exercises
Practice Assessment8m
Graded - (10%) Classifiers with IBM Watson VR - Part 120m
1 hour to complete
Custom Classifiers with Watson Visual Recognition
This module delves deeper into IBM Watson's image classifiers. You will learn to create a custom classifier in your Visual Recognition Instance and will train and test your custom classifier to classify dog images into different breeds.
1 hour to complete
3 videos (Total 8 min), 2 readings, 1 quiz
3 videos
Classifying with Negative Examples2m
Retrain a Visual Recognition Model with Negative Images2m
2 readings
Industry Case Studies with Custom Image Classifiers10m
LAB: Testing and Training a Custom Classifier30m
1 practice exercise
Graded - (10%) Classifiers with IBM Watson VR - Part 225m
4 hours to complete
Image Processing using IBM Watson and Python
This week, you will learn about image processing and face detection. You will then use Python and the Watson Visual Recognition API to perform image classification.
4 hours to complete
4 videos (Total 23 min), 3 readings, 4 quizzes
4 videos
Using Watson Visual Recognition10m
Applications of Watson Visual Recognition6m
Using the Watson VR API with Python4m
3 readings
[Important Reminder] : Completion of Labs2m
Instruction for Obtaining your API Key2m
Articles10m
2 practice exercises
Practice Assessment20m
Graded - (20%) Image Processing using IBM Watson40m
4 hours to complete
Face Detection and Image Processing using OpenCV and Python
This week, you will learn how to use the Haar Cascade classifiers for detecting eyes and faces in images. You will then do a variety of hands-on labs that will teach you how to perform license plate recognition using the Tesseract OCR, colour quantization, image compression, and image processing. While completing these labs, you will also learn how to use the OpenCV package in Python
4 hours to complete
3 videos (Total 22 min), 2 readings, 5 quizzes
3 videos
Detecting Faces with Cascade Filters9m
Detecting Eyes with Cascade Filters6m
2 readings
[Important Reminder]: Completion of Labs2m
Instruction for Obtaining your API Key2m
2 practice exercises
Practice Assessment20m
Graded - (20%) Face Detection and Image Processing using OpenCV40m
3 hours to complete
Project: Building a Web-Based Computer Vision App using IBM Cloud
In the final week of this course, you will build a computer vision app that you will deploy on the web. For the project, you will create a custom classifier, train it and connect it to your app. You will then deploy your app to the cloud for making it accessible to anyone around the globe!
3 hours to complete
3 readings
3 readings
Copy of Project: How to deploy your VR Classifier10m
Project: How to deploy your VR Classifier10m
Instruction for Obtaining your API Key2m
1 practice exercise
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Reviews
4.5
TOP REVIEWS FROM INTRODUCTION TO COMPUTER VISION WITH WATSON AND OPENCV
by MONov 12, 2019
Thoroughly enjoyed this course. Learned about OpenCV a bit and added to my small knowledge of Python. The ability to know how to train Watson to do optical recognizition will be invaluable.
by SSAug 19, 2019
This is one of the best course by IBM. I specifically enjoyed Computer Vision modelling and its related project and also enjoyed the way team put in effort for designing this course.
by AGDec 17, 2019
much better use of notebooks, and good to be able to compare openCV's (free) capabilities and use Watson computer vision directly via API. Liked the classroom videos too.
by SCJul 13, 2019
Great introduction to Visual Recognition and Computer Vision! Lots of examples are provided for me to grasp the concepts behind complicated applications!
by SHDec 14, 2019
I enjoyed the course. I had problems with the last lab with error messages cause by the updates but the forum was helpful in figuring things out.
by BWJul 28, 2019
Its perfect course to start learning about computer vision and how to make it more easy with using Watson !
by PSFeb 25, 2020
Good Content but very hard to submit assignments as the web page is getting lots of errors
by LKNov 5, 2019
Great Introduction for new learner with some labs experience.
by EADec 6, 2019
A challenging and very satisfying course! Recommended!!
by SSMar 21, 2020
Excellent Course for beginners to know basics of opencv
About IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
About the IBM Applied AI Professional Certificate
Artificial Intelligence (AI) is transforming our world. Whether you’re a student, developer, or a technology consultant, understanding AI and knowing how to create AI powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI Application Developer.
It will give you a firm understanding of AI, its applications, and its use cases. You will become familiar with IBM Watson AI services and APIs. Even if you have no programming background, you will be able to create AI driven chatbots as well as pick up practical Python skills to work with AI. The courses will also enable you to apply pre-built AI smarts to your products and solutions. A learner with no prior knowledge of AI will learn to design, build, and deploy AI-powered applications on the web.
Rather than create complex AI algorithms and interfaces from scratch, learners will use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, learners will complete several projects that showcase proficiency in applying AI and building AI powered solutions.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
What will I be able to do after completing this course?
After completing this course you will be able to:
● explain what computer vision is and its applications
● understand the roles of Python, OpenCV and IBM Watson in computer vision
● classify images utilizing IBM Watson, Python, and OpenCV
● build and train custom image classifiers using Watson Visual Recognition API
● process images in Python using OpenCV
● create an interactive computer vision web application and deploy it to the cloud
Are there any software or hardware pre-requistes for this course?
No specialized hardware or software is required to complete this course. You will perform all labs and projects in a cloud environment and work with Python in Jupyter Notebooks, OpenCV, and IBM Watson Visual Recognition. Instructions for no-charge access to IBM Cloud is provided. You will require a modern web browser (i.e. recent versions of Chrome or Firefox).
Are there any pre-requisties or prior experience necssary for this course?
More questions? Visit the Learner Help Center.