このコースについて
13,285 最近の表示

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

初級レベル

約13時間で修了

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

英語

字幕:英語

習得するスキル

Artificial Intelligence (AI)OpencvComputer Visionwatson

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

初級レベル

約13時間で修了

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

英語

字幕:英語

シラバス - 本コースの学習内容

1
1時間で修了

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件のビデオ (合計16分), 2 readings, 2 quizzes
4件のビデオ
Applications of Computer Vision3 分
Recent Research in Computer Vision4 分
Brainstorming Your Own Applications3 分
2件の学習用教材
Welcome2 分
Articles10 分
2の練習問題
Practice Assessment8 分
Graded - (10%) Overview of Computer Vision and its Applications20 分
1時間で修了

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!

...
6件のビデオ (合計24分), 1 reading, 2 quizzes
6件のビデオ
Watson Visual Recognition in Action2 分
Getting Started with Watson Visual Recognition2 分
Classification with Watson Visual Recognition2 分
Working with Custom Classifiers5 分
Custom Image Classifiers with IBM Watson4 分
1件の学習用教材
LAB: Classifying Images with IBM Watson30 分
2の練習問題
Practice Assessment8 分
Graded - (10%) Classifiers with IBM Watson VR - Part 120 分
1時間で修了

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.

...
3件のビデオ (合計8分), 2 readings, 1 quiz
3件のビデオ
Classifying with Negative Examples2 分
Retrain a Visual Recognition Model with Negative Images2 分
2件の学習用教材
Industry Case Studies with Custom Image Classifiers10 分
LAB: Testing and Training a Custom Classifier30 分
1の練習問題
Graded - (10%) Classifiers with IBM Watson VR - Part 225 分
2
4時間で修了

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.

...
4件のビデオ (合計23分), 3 readings, 4 quizzes
4件のビデオ
Using Watson Visual Recognition10 分
Applications of Watson Visual Recognition6 分
Using the Watson VR API with Python4 分
3件の学習用教材
[Important Reminder] : Completion of Labs2 分
Instruction for Obtaining your API Key2 分
Articles10 分
2の練習問題
Practice Assessment20 分
Graded - (20%) Face Detection and Image Processing using IBM Watson40 分
3
4時間で修了

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件のビデオ (合計22分), 2 readings, 5 quizzes
3件のビデオ
Detecting Faces with Cascade Filters9 分
Detecting Eyes with Cascade Filters6 分
2件の学習用教材
[Important Reminder]: Completion of Labs2 分
Instruction for Obtaining your API Key2 分
2の練習問題
Practice Assessment20 分
Graded - (20%) Face Detection and Image Processing using OpenCV40 分
4
3時間で修了

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 readings, 2 quizzes
2件の学習用教材
Project: How to deploy your VR Classifier10 分
Instruction for Obtaining your API Key2 分

講師

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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

IBMについて

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....

よくある質問

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  • コースに登録する際、修了証のすべてのコースにアクセスできます。コースの完了時には修了証を取得できます。電子修了証が成果のページに追加され、そこから修了証を印刷したり、LinkedInのプロフィールに追加したりできます。コースの内容の閲覧のみを希望する場合は、無料でコースを聴講できます。

  • 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).

さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。