4.4
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884 个评分

Aije Egwaikhide 另外 +1 位授课教师

40,795 人已注册

提供方

IBM 技能网络

课程信息

104,633 次近期查看

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, and much more. In this beginner-friendly course, you will understand computer vision and learn about its various applications across many industries.
As part of this course, you will utilize Python, Pillow, and OpenCV for basic image processing and perform image classification and object detection.

This is a hands-on course and involves several labs and exercises. Labs will combine Jupyter Labs and Computer Vision Learning Studio (CV Studio), a free learning tool for computer vision. CV Studio allows you to upload, train, and test your own custom image classifier and detection models.  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 the Python programming language and high school math is necessary.

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100% 在线

立即开始，按照自己的计划学习。

初级

完成时间大约为22 小时

英语（English）

对员工进行热门技能培训能否为您的公司带来益处？

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您将获得的技能

Deep Learning
Opencv
Artificial Intelligence (AI)
Image Processing
Computer Vision

可灵活调整截止日期

根据您的日程表重置截止日期。

可分享的证书

完成后获得证书

100% 在线

立即开始，按照自己的计划学习。

初级

完成时间大约为22 小时

英语（English）

对员工进行热门技能培训能否为您的公司带来益处？

体验 Coursera 企业版

授课教师

授课教师评分

4.45/5 （161 个评分）

Aije Egwaikhide

Senior Data Scientist

IBM

406,925 个学生

6 门课程

Joseph Santarcangelo

Ph.D., Data Scientist at IBM

IBM Developer Skills Network

877,647 个学生

25 门课程

提供方

IBM 技能网络

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.

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授课大纲 - 您将从这门课程中学到什么

内容评分92%（2,892 个评分）

周

周 1

完成时间为 1 小时

Introduction to Computer Vision

完成时间为 1 小时

4 个视频（总计 16 分钟）, 2 个阅读材料, 2 个测验

周

周 2

完成时间为 6 小时

Image Processing with OpenCV and Pillow

完成时间为 6 小时

6 个视频（总计 41 分钟）

周

周 3

完成时间为 5 小时

Machine Learning Image Classification

完成时间为 5 小时

8 个视频（总计 37 分钟）

周

周 4

完成时间为 4 小时

Neural Networks and Deep Learning for Image Classification

完成时间为 4 小时

4 个视频（总计 20 分钟）

审阅

4.4

188 条评论

5 stars
64.25%
4 stars
20.02%
3 stars
7.01%
2 stars
3.95%
1 star
4.75%

来自INTRODUCTION TO COMPUTER VISION AND IMAGE PROCESSING的热门评论

由 OO 提供Sep 8, 2022

This course helped me a lot to understanding the algorithms of the deep learning and the way of how the computer vision works

由 SM 提供Dec 12, 2020

Course is good but Watson service in IBM Cloud ran into issues repeatedly, Unfortunately! I hope IBM and community will be able to support and guide better. Thanks for the course.

由 AG 提供Dec 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.

由 TC 提供Jun 20, 2020

It was a great course that I had fun completing.

I thank the instructors and especially the course mentors for their constant and timely support.

Godspeed,

Tanisha Cijo.

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您注册课程后，将有权访问证书中的所有课程，并且会在完成作业后获得证书。您的电子证书将添加到您的成就页中，您可以通过该页打印证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
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?
Some programming knowledge, especially with Python is needed to complete this course. The following course equips you with the necessary Python background:
- Python for Data Science

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Introduction to Computer Vision and Image Processing

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