Enroll Course: https://www.coursera.org/learn/deteccion-objetos
If you’re fascinated by the field of computer vision and eager to learn how to detect and recognize objects in images, the ‘Detección de objetos’ course on Coursera is an excellent choice. This course provides a comprehensive introduction to the fundamental principles of automatic object detection and recognition systems, making it suitable for both beginners and those with some prior knowledge.
### Course Overview
The course is structured into several weeks, each focusing on different aspects of object detection:
1. **Introduction to Object Detection**: The first week lays the groundwork by explaining the basics of image formation and analysis. You’ll learn about simple detectors based on pixel characteristics, as well as key concepts like correlation and convolution, which are essential for object detection.
2. **Object Classification**: In the second week, the course delves into the concept of window classifiers. You’ll explore how to determine whether a candidate window contains the object of interest, using LBP as an image descriptor and logistic regression for classification.
3. **Object Detection**: The third week focuses on detecting potential candidates in images. You’ll learn how to prepare data for training and evaluating detectors, and how to objectively assess their performance.
4. **HOG/SVM Based Detector**: The fourth week introduces a second object detection system that utilizes HOG as an image descriptor and SVM as a classifier, providing practical insights into these techniques.
5. **Haar/Adaboost Based Detector**: In the fifth week, you’ll explore Haar features and Adaboost for classification. The course explains how to train a classifier with Adaboost and how to implement a complete detection system using cascaded classifiers.
6. **Advanced Techniques**: The final week covers advanced techniques for object detection, including non-holistic models, domain adaptation methods, convolutional neural networks, and alternative candidate generation techniques.
### Why You Should Take This Course
The ‘Detección de objetos’ course is not just about theory; it provides practical knowledge that can be applied in real-world scenarios. The structured syllabus ensures that you build a solid foundation before moving on to more complex topics. The course is well-paced, allowing you to absorb the material thoroughly.
Additionally, the hands-on projects and assessments help reinforce your learning, making it easier to grasp the concepts and apply them in practice. Whether you’re looking to enhance your skills for a career in computer vision or simply want to explore a new area of interest, this course is a valuable resource.
### Conclusion
In conclusion, if you’re interested in computer vision and want to learn about object detection, the ‘Detección de objetos’ course on Coursera is highly recommended. With its comprehensive syllabus, practical applications, and expert instruction, you’ll be well-equipped to tackle the challenges of object detection in images. Don’t miss the opportunity to expand your knowledge and skills in this exciting field!
Enroll Course: https://www.coursera.org/learn/deteccion-objetos