Enroll Course: https://www.coursera.org/learn/deteccion-objetos
Introduction to Detección de Objetos
If you have ever looked at an image and wondered how computers are able to detect and recognize objects within it, then Coursera’s “Detección de objetos” course is tailored just for you! This course dives deep into the fundamentals of automatic object detection and recognition within images. It serves as an excellent entry point for anyone keen on the intriguing field of computer vision.
Course Structure
The course is designed to guide you through a series of well-structured modules. Each week focuses on a different aspect of object detection:
- Week 1 – Introduction to Object Detection: You will start by learning the basics of image formation and analysis, which are crucial for designing simple detectors based on pixel characteristics. This week also covers essential concepts like correlation and convolution.
- Week 2 – Object Classification: The second week introduces the concept of a window classifier, which decides whether a candidate window contains an instance of the desired object. You will learn about using LBP as an image descriptor and logistic regression as a classification method.
- Week 3 – Object Detection: This week focuses on detecting potential candidates in images, and how to prepare the necessary data for training and evaluating detectors. You will also explore objective performance evaluations of your detector.
- Week 4 – HOG/SVM Based Detector: Dive into the workings of a system that uses HOG as an image descriptor and SVM as a classifier.
- Week 5 – Haar/Adaboost Based Detector: Here, you’ll work with Haar features and implement a complete detection system using Adaboost. The concept of integral images will also be introduced.
- Week 6 – Advanced Techniques: This final week covers advanced techniques used in complex detection problems, including non-holistic models like DPM and Random Forests, domain adaptation methods, and the use of Convolutional Neural Networks.
Final Thoughts
This course not only provides theoretical knowledge but also practical applications, which can help bridge the gap between mere understanding and real-world problem-solving in the field of computer vision. By the end of the course, you will have a robust understanding of how to implement object detection systems, making it an invaluable resource for aspiring data scientists and computer vision enthusiasts.
Whether you are looking to enhance your skills or start a journey into the world of computer vision, I highly recommend the “Detección de objetos” course on Coursera. Get ready to dive deep into this fascinating field and become proficient in detecting and recognizing objects in images!
Enroll Course: https://www.coursera.org/learn/deteccion-objetos