Clasificación de imágenes: ¿cómo reconocer el contenido de una imagen?

Overview

Embark on an enlightening journey through the world of computer vision with the "Image Classification: How to Recognize the Content of an Image?" course offered by the Universidad Autónoma de Madrid on Coursera. Discover how visual content in images can be identified and classified using groundbreaking methods. This course is meticulously designed to introduce you to the fundamental image classification scheme known as Bag of Visual Words. You will expand your skills by learning about various local image descriptors and commonly used classification methods.

Throughout the course, we will also explore advanced enhancements to the basic scheme that incorporate different descriptors, integrate spatial information, and refine the final image representation. By the end of the course, you will be equipped to:

• Design tailored solutions for diverse image classification and recognition issues.
• Understand the major techniques utilized for image description and classification.
• Gain access to tools essential for developing real-world image classification applications.

Suitable for university students engaged in degrees related to computer science, engineering, or mathematics, as well as other learners with programming expertise interested in employing computer vision techniques to extract information from images. Enroll today, and enhance your ability to recognize and classify digital visual content effectively!

Categories: Computer Vision Courses, Image Classification Courses

Syllabus

Taught by

Ernest Valveny, Ramon Baldrich Caselles and Jordi Gonzàlez Sabaté

Tags

europe