Über diesen Kurs
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Stufe „Anfänger“

Ca. 13 Stunden zum Abschließen

Empfohlen: 4 weeks of study, 3-4 hours/week (Approximately 15 hours to complete)...

Englisch

Untertitel: Englisch

Kompetenzen, die Sie erwerben

Artificial Intelligence (AI)OpencvComputer Visionwatson

100 % online

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexible Fristen

Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Stufe „Anfänger“

Ca. 13 Stunden zum Abschließen

Empfohlen: 4 weeks of study, 3-4 hours/week (Approximately 15 hours to complete)...

Englisch

Untertitel: Englisch

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1
1 Stunde zum Abschließen

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.

...
4 Videos (Gesamt 16 min), 2 Lektüren, 2 Quiz
4 Videos
Applications of Computer Vision3m
Recent Research in Computer Vision4m
Brainstorming Your Own Applications3m
2 Lektüren
Welcome2m
Articles10m
2 praktische Übungen
Practice Assessment8m
Graded - (10%) Overview of Computer Vision and its Applications20m
1 Stunde zum Abschließen

Classifiers with IBM Watson Visual Recognition (VR) - Part 1

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!

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6 Videos (Gesamt 24 min), 1 Lektüre, 2 Quiz
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 Lektüre
LAB: Classifying Images with IBM Watson30m
2 praktische Übungen
Practice Assessment8m
Graded - (10%) Classifiers with IBM Watson VR - Part 120m
1 Stunde zum Abschließen

Classifiers with IBM Watson Visual Recognition (VR) - Part 2

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.

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3 Videos (Gesamt 8 min), 2 Lektüren, 1 Quiz
3 Videos
Classifying with Negative Examples2m
Retrain a Visual Recognition Model with Negative Images2m
2 Lektüren
Industry Case Studies with Custom Image Classifiers10m
LAB: Testing and Training a Custom Classifier30m
1 praktische Übung
Graded - (10%) Classifiers with IBM Watson VR - Part 225m
Woche
2
4 Stunden zum Abschließen

Face Detection and 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.

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4 Videos (Gesamt 23 min), 3 Lektüren, 4 Quiz
4 Videos
Using Watson Visual Recognition10m
Applications of Watson Visual Recognition6m
Using the Watson VR API with Python4m
3 Lektüren
[Important Reminder] : Completion of Labs2m
Instruction for Obtaining your API Key2m
Articles10m
2 praktische Übungen
Practice Assessment20m
Graded - (20%) Face Detection and Image Processing using IBM Watson40m
Woche
3
4 Stunden zum Abschließen

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

...
3 Videos (Gesamt 22 min), 2 Lektüren, 5 Quiz
3 Videos
Detecting Faces with Cascade Filters9m
Detecting Eyes with Cascade Filters6m
2 Lektüren
[Important Reminder]: Completion of Labs2m
Instruction for Obtaining your API Key2m
2 praktische Übungen
Practice Assessment20m
Graded - (20%) Face Detection and Image Processing using OpenCV40m
Woche
4
3 Stunden zum Abschließen

Project: Building a Web-Based Computer Vision App

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!

...
2 Lektüren, 2 Quiz
2 Lektüren
Project: How to deploy your VR Classifier10m
Instruction for Obtaining your API Key2m

Dozenten

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Yi Leng Yao

MSc., Data Scientist, Software Engineer
IBM Skills Network
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Sacchit Chadha

Software Engineer @IBM | Rising Computer Science Senior @UWaterloo

Über 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....

Häufig gestellte Fragen

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  • Wenn Sie sich für den Kurs anmelden, erhalten Sie Zugriff auf alle Kurse des Zertifikats und Sie erhalten nach Abschluss aller Arbeiten ein Zertifikat. Ihr elektronisches Zertifikat wird zu Ihrer Seite „Errungenschaften“ hinzugefügt – von dort können Sie Ihr Zertifikat ausdrucken oder es zu Ihrem LinkedIn-Profil hinzufügen. Wenn Sie lediglich den Inhalt des Kurses lesen und anzeigen möchten, können Sie kostenlos als Gast an dem Kurs teilnehmen.

  • 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 OpenC

    ●      create an interactive computer vision web application and deploy it to the cloud

  • 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. Instrcutions for no-charge access to IBM Cloud is provided. You will require a modern web browser (i.e. recent versions of Chrome or Firefox).

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