Introducción a la Visión Artificial con Watson y OpenCV from Coursera

La visión por computadora es uno de los campos más emocionantes en Machine Learning y AI. Tiene aplicaciones en muchas industrias, como automóviles autónomos, robótica, realidad aumentada, detección de rostros en agencias de aplicación de la ley. En este curso para principiantes, comprenderá la visión por computadora y aprenderá sobre sus diversas aplicaciones en muchas industrias. Como parte de este curso, utilizará Python, Watson AI y OpenCV para procesar imágenes e interactuar con modelos de clasificación de imágenes. También construirá, entrenará y probará sus propios clasificadores de imágenes personalizados. Este es un curso práctico e involucra varios laboratorios y ejercicios. Todos los laboratorios se realizarán en la nube y se le proporcionará acceso a un entorno de nube completamente gratuito. Al final del curso, creará su propia aplicación web de visión por computadora y la implementará en la nube. Este curso no requiere ninguna experiencia previa de Machine Learning o Computer Vision, sin embargo, es necesario cierto conocimiento del lenguaje de programación Python. Esta es una traducción al español de un curso que se creó originalmente en inglés. Muchos de los componentes del curso se han traducido al español, incluidos títulos de lecciones, transcripciones de videos, lecturas, instrucciones de laboratorio y cuestionarios. Sin embargo, algunos componentes del curso, incluidos los videos originales y su narración, todavía están en inglés.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by Yi Leng Yao and Sacchit Chadha, who are experts in the field of Computer Vision

Teaches Python, Watson AI, and OpenCV, which are widely used in the industry

Covers the fundamentals of Computer Vision and its applications in diverse industries

Hands-on labs and interactive exercises reinforce the learning process

Offers the opportunity to create and implement a web application using Computer Vision

Reviews summary

Spanish language introduction to computer vision

This course provides a practical and beginner-friendly introduction to computer vision and its applications. Students will utilize Python, Watson AI, and OpenCV for image processing and classification tasks. The course includes hands-on labs and exercises to reinforce concepts and build projects. Despite being originally created in English, many course components have been translated to Spanish, such as lesson titles and transcripts. However, some components, including videos and narration, remain in English.

Build and deploy projects

"Al final del curso, creará su propia aplicación web de visión por computadora y la implementará en la nube."

Hands-on application

"Este es un curso práctico e involucra varios laboratorios y ejercicios."

Partial translation

"Muchos de los componentes del curso se han traducido al español... Sin embargo, algunos componentes del curso... todavía están en inglés."

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 Introducción a la Visión Artificial con Watson y OpenCV with these activities:

Connect with Experienced Computer Vision Professionals

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Gain valuable insights and guidance from experts in the field.

Browse courses on Computer Vision

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Attend industry events and conferences to network with computer vision professionals.
Reach out to individuals on LinkedIn and ask for informational interviews.

Review Computer Vision: Algorithms and Applications

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Develop a foundational understanding of computer vision algorithms and techniques.

View Computer Vision on Amazon

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Read chapters 1-3 to gain an overview of computer vision and its applications.
Work through the exercises in chapters 1-3 to practice implementing basic computer vision algorithms.

Walkthrough OpenCV Tutorials

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Gain hands-on experience with OpenCV, a popular computer vision library.

Browse courses on OpenCV

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Follow the OpenCV tutorials on image processing, feature detection, and object recognition.
Experiment with different OpenCV functions and parameters to see how they affect the results.

Five other activities

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Participate in Course Discussion Forums

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Engage with other learners and solidify your understanding of course concepts.

Browse courses on Computer Vision

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Regularly participate in the course discussion forums.
Answer questions from other learners and provide helpful insights.

Build a Simple Image Classifier

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Apply your knowledge of computer vision to build a practical application.

Browse courses on Image Classification

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Gather a dataset of images for the desired classification task.
Preprocess the images by resizing, normalizing, and converting them to grayscale.
Train a simple image classifier using a machine learning algorithm such as SVM or KNN.
Evaluate the performance of the classifier on a test set.

Contribute to Open Source Computer Vision Projects

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Gain practical experience and make meaningful contributions to the computer vision community.

Browse courses on Computer Vision

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Identify an open source computer vision project that aligns with your interests.
Start contributing to the project by fixing bugs, adding features, or improving documentation.

Write a Blog Post on Computer Vision Applications

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Develop a deeper understanding of computer vision applications and practice communicating technical concepts.

Browse courses on Computer Vision

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Research different applications of computer vision in various industries.
Write a blog post summarizing your findings, explaining the benefits and challenges of each application.

Develop a Computer Vision Research Proposal

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Demonstrate your understanding of computer vision research methodologies and articulate a novel research idea.

Browse courses on Computer Vision

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Identify a specific problem or challenge in computer vision.
Review existing research and propose a novel approach to address the problem.
Develop a detailed research plan, including methodology, experiments, and evaluation metrics.

Career center

Learners who complete Introducción a la Visión Artificial con Watson y OpenCV will develop knowledge and skills that may be useful to these careers:

Computer Vision Engineer

Computer Vision Engineers are responsible for developing and implementing computer vision systems. These systems can be used for a variety of purposes, such as object detection, facial recognition, and medical imaging. The course 'Introducción a la Visión Artificial' provides a foundation in computer vision concepts and techniques, which can be helpful for those interested in a career in this field. The course covers topics such as image processing, feature extraction, and classification, which are all essential skills for Computer Vision Engineers.

See salaries and explore the career path for Computer Vision Engineer

Machine Learning Engineer

Machine Learning Engineers are responsible for developing and implementing machine learning models. These models can be used for a variety of purposes, such as predictive analytics, natural language processing, and computer vision. The course 'Introducción a la Visión Artificial' provides a foundation in machine learning concepts and techniques, which can be helpful for those interested in a career in this field. The course covers topics such as supervised learning, unsupervised learning, and deep learning, which are all essential skills for Machine Learning Engineers.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists are responsible for collecting, analyzing, and interpreting data. They use their skills to solve problems and make informed decisions. The course 'Introducción a la Visión Artificial' provides a foundation in data science concepts and techniques, which can be helpful for those interested in a career in this field. The course covers topics such as data collection, data cleaning, and data visualization, which are all essential skills for Data Scientists.

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Software Engineer

Software Engineers are responsible for designing, developing, and testing software applications. They use their skills to create software that meets the needs of users. The course 'Introducción a la Visión Artificial' provides a foundation in software engineering concepts and techniques, which can be helpful for those interested in a career in this field. The course covers topics such as software design, software development, and software testing, which are all essential skills for Software Engineers.

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Data Analyst

Data Analysts are responsible for collecting, analyzing, and interpreting data. They use their skills to identify trends and patterns in data, which can be used to make informed decisions. The course 'Introducción a la Visión Artificial' provides a foundation in data analysis concepts and techniques, which can be helpful for those interested in a career in this field. The course covers topics such as data collection, data cleaning, and data visualization, which are all essential skills for Data Analysts.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts are responsible for analyzing business processes and identifying opportunities for improvement. They use their skills to help businesses improve their efficiency and profitability. The course 'Introducción a la Visión Artificial' provides a foundation in business analysis concepts and techniques, which can be helpful for those interested in a career in this field. The course covers topics such as business process mapping, data analysis, and financial analysis, which are all essential skills for Business Analysts.

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Project Manager

Project Managers are responsible for planning, organizing, and executing projects. They use their skills to ensure that projects are completed on time, within budget, and to the required quality standards. The course 'Introducción a la Visión Artificial' provides a foundation in project management concepts and techniques, which can be helpful for those interested in a career in this field. The course covers topics such as project planning, project scheduling, and project budgeting, which are all essential skills for Project Managers.

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Technical Writer

Technical Writers are responsible for creating documentation for software and other technical products. They use their skills to clearly and concisely explain complex technical concepts. The course 'Introducción a la Visión Artificial' provides a foundation in technical writing concepts and techniques, which can be helpful for those interested in a career in this field. The course covers topics such as technical writing style, technical grammar, and technical documentation tools, which are all essential skills for Technical Writers.

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User Experience Designer

User Experience Designers are responsible for designing the user interface for software and other products. They use their skills to create user interfaces that are easy to use and enjoyable to interact with. The course 'Introducción a la Visión Artificial' provides a foundation in user experience design concepts and techniques, which can be helpful for those interested in a career in this field. The course covers topics such as user research, user interface design, and user testing, which are all essential skills for User Experience Designers.

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Product Manager

Product Managers are responsible for planning, developing, and marketing products. They use their skills to ensure that products meet the needs of customers. The course 'Introducción a la Visión Artificial' provides a foundation in product management concepts and techniques, which can be helpful for those interested in a career in this field. The course covers topics such as product planning, product development, and product marketing, which are all essential skills for Product Managers.

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Quality Assurance Analyst

Quality Assurance Analysts are responsible for testing software and other products to ensure that they meet quality standards. They use their skills to identify and fix bugs, and to ensure that products are reliable and user-friendly. The course 'Introducción a la Visión Artificial' provides a foundation in quality assurance concepts and techniques, which can be helpful for those interested in a career in this field. The course covers topics such as test planning, test execution, and test reporting, which are all essential skills for Quality Assurance Analysts.

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Information Security Analyst

Information Security Analysts are responsible for protecting computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. They use their skills to identify and mitigate security risks, and to ensure that computer systems and networks are secure. The course 'Introducción a la Visión Artificial' provides a foundation in information security concepts and techniques, which can be helpful for those interested in a career in this field. The course covers topics such as security risk management, security controls, and security incident response, which are all essential skills for Information Security Analysts.

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Network Administrator

Network Administrators are responsible for managing and maintaining computer networks. They use their skills to ensure that networks are reliable and secure. The course 'Introducción a la Visión Artificial' provides a foundation in network administration concepts and techniques, which can be helpful for those interested in a career in this field. The course covers topics such as network design, network configuration, and network troubleshooting, which are all essential skills for Network Administrators.

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Systems Administrator

Systems Administrators are responsible for managing and maintaining computer systems. They use their skills to ensure that computer systems are reliable and secure. The course 'Introducción a la Visión Artificial' provides a foundation in systems administration concepts and techniques, which can be helpful for those interested in a career in this field. The course covers topics such as systems design, systems configuration, and systems troubleshooting, which are all essential skills for Systems Administrators.

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Database Administrator

Database Administrators are responsible for managing and maintaining databases. They use their skills to ensure that databases are reliable and secure. The course 'Introducción a la Visión Artificial' provides a foundation in database administration concepts and techniques, which can be helpful for those interested in a career in this field. The course covers topics such as database design, database configuration, and database troubleshooting, which are all essential skills for Database Administrators.

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