If you're looking to delve deeper into the world of computer vision, the Computer Vision Masterclass might be just what you need. This course offers a practical overview of all areas of computer vision, including implementation of the 14 main computer vision techniques. By the end of the course, students will be well-equipped to work on such projects as detecting faces in images, tracking objects in videos, and recognizing gestures and actions.
What is Computer Vision?
Computer Vision is a subarea of Artificial Intelligence focused on creating systems that can process, analyze, and identify visual data in a similar way to the human eye. It's a rapidly evolving field, with many commercial applications in a variety of sectors, including security, marketing, decision making, and production. There are numerous examples of computer vision usage in everyday life, such as smartphones and self-driving cars.
What Will I Learn?
In this course, you will learn everything you need to know to become proficient in computer vision. You'll gain practical knowledge of the 14 main computer vision techniques, including:
- Detecting faces in images and videos using OpenCV and Dlib libraries
- Training the LBPH algorithm to recognize faces, also using OpenCV and Dlib libraries
- Tracking objects in videos using KCF and CSRT algorithms
- Theory behind artificial neural networks and implementing them to classify images
- Implementing convolutional neural networks to classify images
- Using transfer learning and fine-tuning to improve the results of convolutional neural networks
- Detecting emotions in images and videos using neural networks
- Compressing images using autoencoders and TensorFlow
- Detecting objects using YOLO, one of the most powerful techniques for this task
- Recognizing gestures and actions in videos using OpenCV
- Creating hallucinogenic images using the Deep Dream technique
- Combining the style of images using style transfer
- Creating images that don't exist in the real world with GANs (Generative Adversarial Networks)
- Extracting useful information from images using image segmentation
The course offers step-by-step instruction on implementing each technique using Python and Google Colab. This means that by the end of the course, you'll have gained practical experience on how to apply these techniques in real-world scenarios.
Course Overview
The course is designed to be accessible to people who may be new to the field of computer vision. Its overarching goal is to help students build practical skills and mastery in the subject matter. The course consists of video lectures, slides, and quizzes, which are designed to reinforce the material presented in the lectures. The instructor is highly experienced in the field of computer vision, and in addition to the course material, there are also opportunities for students to ask questions and get help from the instructor.
Course Reviews
With over 600 reviews and a rating of 4.44, this course has been highly-rated by the learners. Many have praised the hands-on learning experience provided in the course, stating that it is easy to follow and well-structured. The instructor has been praised for his expertise in the field and the ability to explain complex concepts in a simple and concise manner. Many students have noted that the course offers a practical understanding of computer vision beyond the theoretical, which has helped them in their professional work.
Is This Course Right for Me?
If you're interested in computer vision and want to learn more about it, then this course would be well-suited for you. It's ideal for anyone who wants to learn the fundamental principles of computer vision and gain practical experience in implementing the techniques. The course is suitable for both beginners as well as individuals who may be more familiar with the field, but are looking to expand their knowledge.
Start Your Computer Vision Journey Today
In today's world, computer vision is becoming increasingly important in many different fields. Whether you're interested in marketing, security, or production, gaining proficiency in computer vision techniques can open up new opportunities and advance your career. The Computer Vision Masterclass offers a comprehensive and practical introduction to the field. By the time you complete the course, you'll have acquired a wide range of skills and knowledge that will give you a competitive edge in your career.
