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Understanding machine learning models
Improving data analysis and decision-making
How Google uses logic in machine learning
Face detection
In this article, we learn about Face Detection using OpenCV & Python, and discuss a very popular method called Haar Cascades for face detection. We are using OpenCV – a popular library for Computer Vision.
OpenCV uses machine learning algorithms to find the face within the image or in real-time video. We have thousands of small features which help to search for faces. The algorithm helps to identify with the help of small patterns or features and makes the task easier.
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![[Easy way] - Face Detection using OpenCV & Python - SidTechTalks](/_next/image?url=https%3A%2F%2Fd3t70bohx4vuj7.cloudfront.net%2F_7wyJzr-SLhTHXS8yMyouDLKzS8GtKZ8XY9pk5xHJqY%2Fresize%3Afill%3A500%3A0%2Fgravity%3Asm%2FaHR0cHM6Ly9zaWR0ZWNodGFsa3MuaW4vd3AtY29udGVudC91cGxvYWRzLzIwMjEvMDMvZmFjZV9kZXRlY3Rpb24tODAweDQ0NS5wbmc&w=3840&q=75)
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I am a professional Full-stack developer. I write articles on the technologies and make websites with proper and interactive user interfaces using new tech stacks. I like to develop and solve problems.
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Get Started with Image Processing
The most common library used for image processing is OpenCV (Open Source Computer Vision Library). OpenCV supports many algorithms related to Computer Vision and Machine Learning, and it is expanding day-by-day.
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