IBM - Introduction to Computer Vision with Watson and OpenCV
- Offered byCoursera
Introduction to Computer Vision with Watson and OpenCV at Coursera Overview
Duration | 16 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Introduction to Computer Vision with Watson and OpenCV at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 7 of 7 in the IBM Applied AI
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level
- Approx. 16 hours to complete
- English Subtitles: French, Portuguese (European), Russian, English, Spanish
Introduction to Computer Vision with Watson and OpenCV at Coursera Course details
- 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.
- As part of this course you will utilize Python, Watson AI, and OpenCV to process images and interact with image classification models. You will also build, train, and test your own custom image classifiers.
- This is a hands-on course and involves several labs and exercises. All the labs will be performed on the Cloud and you will be provided access to a Cloud environment completely free of charge. At the end of the course, you will create your own computer vision web app and deploy it to the Cloud.
- This course does not require any prior Machine Learning or Computer Vision experience, however some knowledge of Python programming language is necessary.
Introduction to Computer Vision with Watson and OpenCV at Coursera Curriculum
Introduction to Computer Vision
Welcome to Introduction to Computer Vision
Introduction to Computer Vision
Applications of Computer Vision
Recent Research in Computer Vision
Brainstorming Your Own Applications
Welcome
Articles
Practice Assessment
Graded - (10%) Overview of Computer Vision and its Applications
Image Classification with IBM Watson
Watson Visual Recognition in Action
Getting Started with Watson Visual Recognition
Classification with Watson Visual Recognition
Working with Custom Classifiers
Custom Image Classifiers with IBM Watson
Practice Assessment
Graded - (10%) Classifiers with IBM Watson VR - Part 1
Create, Train and Test a Visual Recognition Model
Classifying with Negative Examples
Retrain a Visual Recognition Model with Negative Images
Industry Case Studies with Custom Image Classifiers
Graded - (10%) Classifiers with IBM Watson VR - Part 2
Image Processing using IBM Watson and Python
Introduction on Using the Watson APIs
Using Watson Visual Recognition
Applications of Watson Visual Recognition
[Important Reminder] : Completion of Labs
Instruction for Obtaining your API Key
Articles
Practice Assessment
Graded - (20%) Image Processing using IBM Watson
Image Processing using OpenCV and Python
Getting Started with OpenCV in Python
Object Detection with Haar Classifiers
Object Detection with OpenCV
[Important Reminder]: Completion of Labs
Instruction for Obtaining your API Key
Practice Assessment
Graded - (20%) Image Processing using OpenCV
Project: Building a Web-Based Computer Vision App using IBM Cloud
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