Enroll Course: https://www.coursera.org/learn/deteccion-objetos
Are you fascinated by the world of computer vision and eager to learn how machines can ‘see’ and identify objects in images? If so, Coursera’s ‘Detección de objetos’ (Object Detection) course is an excellent starting point.
This course provides a solid introduction to the fundamental principles behind automatic object detection and recognition systems. It systematically breaks down the process, starting with the very basics of image formation and analysis. You’ll gain a deep understanding of how simple detectors are designed using pixel characteristics, and you’ll explore the crucial concepts of correlation and convolution and their application in object detection.
The syllabus is thoughtfully structured to build your knowledge progressively. Week one lays the groundwork with an overview of object detector fundamentals. Week two delves into object classification, introducing window classifiers, LBP descriptors, and logistic regression. You’ll learn about both training and utilizing these classifiers. Week three focuses on the detection phase itself, covering candidate generation, data preparation for training and evaluation, and objective performance assessment.
The course then moves on to practical examples, dedicating weeks to specific, widely-used methods. You’ll explore detectors based on HOG (Histogram of Oriented Gradients) with SVM (Support Vector Machine) classifiers, and another based on Haar features with AdaBoost classifiers. The latter week provides an in-depth explanation of Haar features, integral images, and how AdaBoost selects optimal features, culminating in the implementation of cascade classifiers for robust detection.
Finally, the course touches upon advanced techniques in its last week. This includes non-holistic models like Deformable Part Models (DPM) and Random Forests, domain adaptation methods, the exciting realm of Convolutional Neural Networks (CNNs), leveraging multi-modal image data, and alternative candidate generation techniques. These advanced topics offer a glimpse into more complex and cutting-edge applications.
Overall, ‘Detección de objetos’ is a comprehensive and well-structured course for anyone looking to understand the core concepts of object detection. It balances theoretical knowledge with practical examples, making it accessible yet informative. Whether you’re a student, a researcher, or a professional looking to enhance your computer vision skills, this course comes highly recommended.
Enroll Course: https://www.coursera.org/learn/deteccion-objetos