Train a Handwritten Digit Recognizer with OpenCV KNN

Описание: 🎯 Learn how to build a Handwritten Digit Recognizer using OpenCV and the K-Nearest Neighbors (KNN) algorithm!
In this video, we walk you through a practical and beginner-friendly tutorial to train a digit classification model using real MNIST data and OpenCV in C++. Whether you're new to machine learning or want to get hands-on with OpenCV's KNN module, this guide is the perfect place to start.

🧠 What You'll Learn:

How to load and preprocess the MNIST dataset

Training a KNN classifier using OpenCV

Real-time digit prediction

Visualizing predictions and accuracy

💻 Technologies Used:

OpenCV (C++)

KNN Algorithm

MNIST Handwritten Digits Dataset

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🌠 Stackoverflow: https://stackoverflow.com/users/11048...

🌠 Github: https://github.com/yunus-temurlenk?ta...

🌠 Twitter:   / code_enjoy  

🌠Hashnode: https://yunustemurlenk.hashnode.dev/

▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬

0:00 - Introduction
2:11 - Coding Explanation
9:11 - Testing trained model
21:11 - Conclusion

If you see any mistake and any advice please comment. Thanks for watching...

#OpenCV #MachineLearning #DigitRecognizer #KNN #MNIST #AI #ComputerVision