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Analizando imágenes con Amazon Rekognition

Nestor Nicolas Campos Rojas

En este proyecto, vas a implementar un modelo de clasificación de imágenes con Amazon Rekognition, a partir de datos almacenados en S3, de forma simple sin requerir conocimientos de programación o Machine Learning avanzado.

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What's inside

Syllabus

Project Overview
En este proyectos, vamos a crear un modelo de visión computaciones para clasificar fotografías utilizando Amazon Rekognition.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Designed for individuals with no programming or advanced Machine Learning knowledge, making it accessible to a wider audience
Uses a simplified approach to image classification using Amazon Rekognition
Empowers learners with the ability to build image classification models without prior coding experience
Emphasizes practical application of image classification in the context of computer vision

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Analizando imágenes con Amazon Rekognition with these activities:
Refrescar conceptos de visión computacional
Revisa conceptos fundamentales de visión computacional para reforzar tu comprensión previa al curso.
Browse courses on Computer Vision
Show steps
  • Revisa los principios básicos de visión computacional, como segmentación de imágenes, extracción de características y reconocimiento de objetos.
  • Practica la implementación de algoritmos de visión computacional en un lenguaje de programación como Python.
Buscar mentores de la industria
Conecta con profesionales de la industria que puedan proporcionar orientación y apoyo adicionales para tu aprendizaje en el curso.
Show steps
  • Asiste a eventos de la industria y ferias de empleo.
  • Conéctate con profesionales en LinkedIn y otras plataformas de redes sociales.
  • Solicita consejos y orientación sobre tu carrera y objetivos de aprendizaje.
Participar en grupos de estudio
Colabora con compañeros para discutir conceptos, resolver problemas y compartir conocimientos, fortaleciendo tu comprensión del material del curso.
Show steps
  • Forma o únete a un grupo de estudio con otros estudiantes del curso.
  • Revisa los temas del curso, resuelve ejercicios y realiza discusiones.
One other activity
Expand to see all activities and additional details
Show all four activities
Explorar tutoriales de Amazon Rekognition
Familiarízate con las funcionalidades y el uso de Amazon Rekognition para el reconocimiento de imágenes.
Browse courses on Amazon Rekognition
Show steps
  • Sigue el tutorial oficial de Amazon Rekognition para crear un clasificador de imágenes.
  • Investiga y completa otros tutoriales en línea que cubran aspectos específicos de Amazon Rekognition.

Career center

Learners who complete Analizando imágenes con Amazon Rekognition will develop knowledge and skills that may be useful to these careers:
Computer Vision Engineer
Using Amazon Rekognition to classify images is a core skill for a Computer Vision Engineer. You will use this video recognition technology and others to analyze and interpret visual data. This is extremely useful in self-driving vehicles, security systems, and medical imaging.
See salaries and explore the career path for Computer Vision Engineer
Data Scientist
As a Data Scientist, you will gain experience using Amazon Rekognition, a cloud platform, and other AWS tools to perform machine learning tasks. In this role, you will analyze data, build models, and deploy predictive analytics.
See salaries and explore the career path for Data Scientist
Machine Learning Engineer
For Machine Learning Engineers, Amazon Rekognition is a tool for developing models, which can be used for tasks such as image classification, object detection, and facial recognition. With it, you can build a foundation for many image-based applications.
See salaries and explore the career path for Machine Learning Engineer
Software Engineer
As a Software Engineer, you may use Amazon Rekognition to integrate image analysis capabilities into software applications.
See salaries and explore the career path for Software Engineer
Business Analyst
Business Analysts can utilize Amazon Rekognition to analyze market trends, identify customer needs, and optimize business processes.
See salaries and explore the career path for Business Analyst
UX Designer
UX Designers may incorporate Amazon Rekognition into their work to improve the user experience of digital products.
See salaries and explore the career path for UX Designer
Product Manager
Product Managers may use Amazon Rekognition to analyze customer data, understand user behavior, and improve product design.
See salaries and explore the career path for Product Manager
Marketing Manager
For Marketing Managers, Amazon Rekognition can be used to analyze campaign performance, target audiences, and optimize marketing strategies.
See salaries and explore the career path for Marketing Manager
Quantitative Analyst
Quantitative Analysts may use Amazon Rekognition to analyze financial data, identify trends, and make predictions.
See salaries and explore the career path for Quantitative Analyst
Operations Research Analyst
Operations Research Analysts may utilize Amazon Rekognition to analyze operational data, optimize processes, and improve efficiency.
See salaries and explore the career path for Operations Research Analyst
Statistician
Statisticians may find Amazon Rekognition useful for analyzing large datasets, identifying patterns, and drawing conclusions.
See salaries and explore the career path for Statistician
Data Architect
For Data Architects, Amazon Rekognition can be used to design and implement data architectures that support image analysis applications.
See salaries and explore the career path for Data Architect
Database Administrator
Database Administrators may utilize Amazon Rekognition to manage and optimize databases that store image data.
See salaries and explore the career path for Database Administrator
Systems Engineer
Systems Engineers may use Amazon Rekognition to design and implement systems that incorporate image analysis capabilities.
See salaries and explore the career path for Systems Engineer
Technical Writer
Technical Writers may use Amazon Rekognition to create documentation for image analysis systems and applications.
See salaries and explore the career path for Technical Writer

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Analizando imágenes con Amazon Rekognition.
Cover image
Computer Vision
Save
Este libro de texto integral cubre los fundamentos de la visión artificial, brindando una base teórica sólida para comprender los algoritmos y técnicas utilizados en Amazon Rekognition.
Computer Vision
Paperback
Check
Computer Vision
Kindle Edition
Check
Cover image
Concurrent NumPy in Python
Save
Este libro práctico guía a los lectores a través de la implementación de algoritmos de aprendizaje profundo para tareas de visión artificial, lo que proporciona conocimientos valiosos para aprovechar al máximo Amazon Rekognition.
(English) Concurrent NumPy in Python: Faster NumPy With BLAS,...
Paperback
$$
(English) Concurrent NumPy in Python: Faster NumPy With BLAS,...
Kindle Edition
$$
Cover image
Deep Learning with Python, Second Edition
Save
Este libro proporciona una introducción práctica al aprendizaje profundo con Python, sentando las bases para comprender los algoritmos y técnicas utilizados en Amazon Rekognition.
(English) Deep Learning with Python, Second Edition
Paperback
$$
(English) Deep Learning with Python, Second Edition
Kindle Edition
$$
Pattern Recognition and Machine Learning
Save
Este libro de texto clásico ofrece una cobertura integral del reconocimiento de patrones y el aprendizaje automático, proporcionando una base teórica para comprender los métodos de Amazon Rekognition.
(English) Pattern Recognition and Machine Learning...
Hardcover
$$$
(English) Pattern Recognition and Machine Learning...
Paperback
$$$
(English) Pattern Recognition and Machine Learning (text...
Unknown Binding
$$$$
Cover image
The Elements of Statistical Learning
Save
Este libro fundamental ofrece una introducción integral a los métodos estadísticos utilizados en el aprendizaje automático, proporcionando una base sólida para comprender los algoritmos de Amazon Rekognition.
(English) The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
(English) The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
(English) The Elements of Statistical Learning: Data Mining,...
Kindle Edition
$$$
Cover image
Probability and Statistics for Computer Science
Save
Esta obra clásica proporciona una base sólida en los fundamentos de la visión artificial, sentando las bases para comprender los algoritmos de Amazon Rekognition.
(English) Probability and Statistics for Computer Science
Paperback
$$$
(English) Probability and Statistics for Computer Science
Kindle Edition
$$$
Cover image
Probabilistic Machine Learning
Save
Este libro ofrece una introducción teórica al aprendizaje automático desde una perspectiva probabilística, proporcionando una comprensión profunda de los modelos subyacentes a Amazon Rekognition.
(English) Probabilistic Machine Learning: Advanced Topics...
Hardcover
$$$$
Cover image
Computer Vision Metrics
Save
Esta guía práctica proporciona una descripción general de las métricas de evaluación utilizadas en la visión artificial, ayudando a los lectores a medir y mejorar el rendimiento de los modelos de Amazon Rekognition.
(English) Computer Vision Metrics: Survey, Taxonomy, and...
Paperback
$$
(English) Computer Vision Metrics: Textbook Edition
Hardcover
$$$
(English) Computer Vision Metrics: Survey, Taxonomy, and...
Hardcover
$$$$
(English) Computer Vision Metrics: Survey, Taxonomy, and...
Kindle Edition
Check Price
(English) Computer Vision Metrics: Textbook Edition
Kindle Edition
$$$
(English) Computer Vision Metrics: Survey, Taxonomy, and...
Kindle Edition
$$$$

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Effort
1 hora
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Nestor Nicolas Campos Rojas
Language
Español
Good to know
Designed for individuals with no programming or advanced Machine Learning knowledge, making it accessible to a wider audience
Uses a simplified approach to image classification using Amazon Rekognition
Empowers learners with the ability to build image classification models without prior coding experience
Emphasizes practical application of image classification in the context of computer vision
Share and help others discover this course.
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