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/folder...
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