Acerca de este Curso
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Nivel principiante

Aprox. 13 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English)

Habilidades que obtendrás

Artificial Intelligence (AI)OpencvComputer Visionwatson

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel principiante

Aprox. 13 horas para completar

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

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
1 hora para completar

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 videos (Total 16 minutos), 2 readings, 2 quizzes
2 lecturas
Welcome2m
Articles10m
2 ejercicios de práctica
Practice Assessment8m
Graded - (10%) Overview of Computer Vision and its Applications20m
1 hora para completar

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 (Total 24 minutos), 1 reading, 2 quizzes
6 videos
Classification with Watson Visual Recognition2m
Working with Custom Classifiers5m
Custom Image Classifiers with IBM Watson4m
1 lectura
LAB: Classifying Images with IBM Watson30m
2 ejercicios de práctica
Practice Assessment8m
Graded - (10%) Classifiers with IBM Watson VR - Part 120m
1 hora para completar

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 videos (Total 8 minutos), 2 readings, 1 quiz
2 lecturas
Industry Case Studies with Custom Image Classifiers10m
LAB: Testing and Training a Custom Classifier30m
1 ejercicio de práctica
Graded - (10%) Classifiers with IBM Watson VR - Part 225m
Semana
2
4 horas para completar

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 (Total 23 minutos), 3 readings, 4 quizzes
3 lecturas
[Important Reminder] : Completion of Labs2m
Instruction for Obtaining your API Key2m
Articles10m
2 ejercicios de práctica
Practice Assessment20m
Graded - (20%) Face Detection and Image Processing using IBM Watson40m
Semana
3
4 horas para completar

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 (Total 22 minutos), 2 readings, 5 quizzes
2 lecturas
[Important Reminder]: Completion of Labs2m
Instruction for Obtaining your API Key2m
2 ejercicios de práctica
Practice Assessment20m
Graded - (20%) Face Detection and Image Processing using OpenCV40m
Semana
4
3 horas para completar

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 lecturas
Project: How to deploy your VR Classifier10m
Instruction for Obtaining your API Key2m

Instructores

Avatar

Yi Leng Yao

MSc., Data Scientist, Software Engineer
IBM Skills Network
Avatar

Sacchit Chadha

Software Engineer @IBM | Rising Computer Science Senior @UWaterloo

Acerca de 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....

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos del Certificado y te darán un certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

  • 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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