Facial Emotion Detection & Recognition | Python, YOLOv9 & Computer Vision + Source Code #aiprojects
🤖 Build a real-time Facial Emotion Detection and Recognition System using Python, YOLOv9, and OpenCV! In this video, you’ll learn to: Detect faces in real-time using YOLOv9 Recognize emotions like 😊 Happiness, 😔 Sadness, 😡 Anger, 😲 Surprise, 😨 Fear, 😒 Disgust Preprocess images for robust detection under different lighting, angles, and occlusions Optimize AI models for real-time performance Deploy facial emotion recognition for healthcare, customer service, and human-computer interaction (HCI) 💻 Key Techniques Used: Python, OpenCV, YOLOv9, Deep Learning, Real-Time Video Processing, Face Detection, Emotion Recognition 🎓 Want this full project (source code + dataset + documentation) AND 21 more Computer Vision projects with certificate? 👉 Visit here → [ https://www.udemy.com/course/computer-vision-mastery-real-time-projects-opencv-python-ai-yolo/?referralCode=C219F7481A635FD9196A ] ✅ Perfect for: Students exploring AI & Computer Vision Developers building real-world emotion recognition apps Professionals interested in mental health monitoring and HCI applications ✨ Check out more AI & Computer Vision projects here: [Your Projects Playlist/Channel Link] 🔔 Don’t forget to Like, Share & Subscribe for more AI & Computer Vision Projects! ⏱ Timestamps 00:00-00:28 - Project Outcome 00:29-02:47 - Project Introduction 02:48-04:14 - Python 3.12 Installation 04:15-06:14 - VS Code Setup 06:14-06:43 - Project Overview 06:44-08:08 - Google Colab Setup 08:09-09:38 - Dataset Download 09:10-12:58 - Dataset Visualization 12:59-15:02 - Pre-Trained YOLOv9 Model Weights Download 15:03-17:43 - YOLOv9 Algorithm Overview 17:43-31:33 - YOLOv9 Model Training Code Implementation 31:34-35:58 - YOLOv9 Model Training 35:59-47:01 - YOLOv9 Model Inference Code Explanation 47:01-51:21 - Code Execution 51:21-51:46 - Conclusion #yolov8 #pythonai #computervision #deeplearning #realtimeai #aiprojects #emotionrecognition #opencv #machinelearning #scratchlearn
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