Informações sobre o curso
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Nível iniciante

Aprox. 13 horas para completar

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

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Habilidades que você terá

Artificial Intelligence (AI)OpencvComputer Visionwatson

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível iniciante

Aprox. 13 horas para completar

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

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
1 hora para concluir

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.

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4 vídeos ((Total 16 mín.)), 2 leituras, 2 testes
4 videos
Applications of Computer Vision3min
Recent Research in Computer Vision4min
Brainstorming Your Own Applications3min
2 leituras
Welcome2min
Articles10min
2 exercícios práticos
Practice Assessment8min
Graded - (10%) Overview of Computer Vision and its Applications20min
1 hora para concluir

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 vídeos ((Total 24 mín.)), 1 leitura, 2 testes
6 videos
Watson Visual Recognition in Action2min
Getting Started with Watson Visual Recognition2min
Classification with Watson Visual Recognition2min
Working with Custom Classifiers5min
Custom Image Classifiers with IBM Watson4min
1 leituras
LAB: Classifying Images with IBM Watson30min
2 exercícios práticos
Practice Assessment8min
Graded - (10%) Classifiers with IBM Watson VR - Part 120min
1 hora para concluir

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 vídeos ((Total 8 mín.)), 2 leituras, 1 teste
3 videos
Classifying with Negative Examples2min
Retrain a Visual Recognition Model with Negative Images2min
2 leituras
Industry Case Studies with Custom Image Classifiers10min
LAB: Testing and Training a Custom Classifier30min
1 exercício prático
Graded - (10%) Classifiers with IBM Watson VR - Part 225min
Semana
2
4 horas para concluir

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 vídeos ((Total 23 mín.)), 3 leituras, 4 testes
4 videos
Using Watson Visual Recognition10min
Applications of Watson Visual Recognition6min
Using the Watson VR API with Python4min
3 leituras
[Important Reminder] : Completion of Labs2min
Instruction for Obtaining your API Key2min
Articles10min
2 exercícios práticos
Practice Assessment20min
Graded - (20%) Face Detection and Image Processing using IBM Watson40min
Semana
3
4 horas para concluir

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

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3 vídeos ((Total 22 mín.)), 2 leituras, 5 testes
3 videos
Detecting Faces with Cascade Filters9min
Detecting Eyes with Cascade Filters6min
2 leituras
[Important Reminder]: Completion of Labs2min
Instruction for Obtaining your API Key2min
2 exercícios práticos
Practice Assessment20min
Graded - (20%) Face Detection and Image Processing using OpenCV40min
Semana
4
3 horas para concluir

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 leituras, 2 testes
2 leituras
Project: How to deploy your VR Classifier10min
Instruction for Obtaining your API Key2min

Instrutores

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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

Sobre 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....

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve em um curso, ganha acesso a todos os cursos no certificado e obtém um certificado quando completar o trabalho. Seu certificado eletrônico pode ser adicionado à sua página de Participações, de onde você pode imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, pode participar como ouvinte sem custo.

  • 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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