July 2020
Intermediate to advanced
4h 16m
English
Closed Captioning available in English
Overview
In this 4 hr course, you will explore the fundamentals of computer vision and learn to build face recognition systems using Python. Starting from setup and basics, the course covers face detection from images and video streams, emotion detection, and predicting age and gender. By the end, you'll feel confident applying face detection and recognition techniques to real-world scenarios.
What I will be able to do after this course
- Understand how to set up your Python environment with libraries like OpenCV and dlib to implement computer vision projects.
- Develop the skills to perform face detection and recognition using static images and video footage.
- Become proficient in using machine learning models to recognize facial expressions and predict age and gender in real-time.
- Gain hands-on experience in customizing face detection applications such as dynamic face blurring in streaming webcam video.
- Learn to interpret and manipulate face landmarks for advanced face-related tasks such as creating custom effects.
Course Instructor(s)
Abhilash Nelson brings a deep expertise in computer vision as a Python instructor and developer. With experience creating practical AI applications, he prioritizes a hands-on, example-driven teaching style that makes complex concepts approachable and engaging. Abhilash is dedicated to sharing his knowledge and helping learners understand the exciting field of AI.
Who is it for?
This course is perfect for beginners and tech enthusiasts interested in exploring computer vision and face recognition using Python. If you have no prior Python experience, this course will guide you through the basics, ensuring you can keep up. The course also suits developers looking to integrate face recognition capabilities into practical applications or hobby projects, helping them achieve skills in this in-demand area.
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