课程信息
15,011 次近期查看

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

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初级

完成时间大约为13 小时

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

英语(English)

字幕:英语(English)

您将获得的技能

Artificial Intelligence (AI)OpencvComputer Visionwatson

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

初级

完成时间大约为13 小时

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

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 1 小时

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 个视频 (总计 16 分钟), 2 个阅读材料, 2 个测验
4 个视频
Brainstorming Your Own Applications3分钟
2 个阅读材料
Welcome2分钟
Articles10分钟
2 个练习
Practice Assessment8分钟
Graded - (10%) Overview of Computer Vision and its Applications20分钟
完成时间为 1 小时

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 个视频 (总计 24 分钟), 1 个阅读材料, 2 个测验
6 个视频
Classification with Watson Visual Recognition2分钟
Working with Custom Classifiers5分钟
Custom Image Classifiers with IBM Watson4分钟
1 个阅读材料
LAB: Classifying Images with IBM Watson30分钟
2 个练习
Practice Assessment8分钟
Graded - (10%) Classifiers with IBM Watson VR - Part 120分钟
完成时间为 1 小时

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 个视频 (总计 8 分钟), 2 个阅读材料, 1 个测验
2 个阅读材料
Industry Case Studies with Custom Image Classifiers10分钟
LAB: Testing and Training a Custom Classifier30分钟
1 个练习
Graded - (10%) Classifiers with IBM Watson VR - Part 225分钟
2
完成时间为 4 小时

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 个视频 (总计 23 分钟), 3 个阅读材料, 4 个测验
4 个视频
Using the Watson VR API with Python4分钟
3 个阅读材料
[Important Reminder] : Completion of Labs2分钟
Instruction for Obtaining your API Key2分钟
Articles10分钟
2 个练习
Practice Assessment20分钟
Graded - (20%) Face Detection and Image Processing using IBM Watson40分钟
3
完成时间为 4 小时

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 个视频 (总计 22 分钟), 2 个阅读材料, 5 个测验
2 个阅读材料
[Important Reminder]: Completion of Labs2分钟
Instruction for Obtaining your API Key2分钟
2 个练习
Practice Assessment20分钟
Graded - (20%) Face Detection and Image Processing using OpenCV40分钟
4
完成时间为 3 小时

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 个阅读材料, 2 个测验
2 个阅读材料
Project: How to deploy your VR Classifier10分钟
Instruction for Obtaining your API Key2分钟

讲师

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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

关于 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....

常见问题

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  • 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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