Face Detection & Verification with MTCNN & FaceNet | ML Project #3 | End to End Project

Title: Facial Recognition Attendance System using Python | Face Recognition | Customer Verification | Online Identity Verification | Computer Vision | Machine Learning | Neural Network | Deep Learning | Python Project

Welcome to Machine Learning Project #3! In this step-by-step tutorial, we dive into face detection and verification using Python in Google Colab. Learn how to detect faces with MTCNN and verify them with FaceNet—two powerful pre-trained ML models. Perfect for beginners and computer vision fans!

🔍 What You’ll Learn:
- Setting up MTCNN and FaceNet in Google Colab
- Detecting faces in images with bounding boxes and key points
- Verifying if two faces match using embeddings
- Coding it all in Python with real football player pictures!

Resources:
- Dataset: https://drive.google.com/drive/folders/1pzvTPBuEZowMWtJIRT8AIUeLabEc-Yfs?usp=sharing
- Google Colab: https://colab.research.google.com/

🕒 Timestamps:
0:00 - Intro: Why Face Detection & Verification?
00:46 - Setup: Installing Tools & adding libraries
03:27 - Loading Images & Adding Styles
12:52 - Face Detection with MTCNN Explained
25:06 - Verification with FaceNet Made Simple
36:01 - Outro: Wrap-Up & Next Steps

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#MachineLearning #FaceDetection #ComputerVision #Python #GoogleColab #MTCNN #FaceNet

Видео Face Detection & Verification with MTCNN & FaceNet | ML Project #3 | End to End Project канала Mr. Data Scientist