Simple YOLOv8 Class for Object Detection with Webcam in Real-time

In this video 📝 we are going to create a simple YOLOv8 class for Object Detection Model in Python. We will see how to deploy a trained YOLOv8 model and run live inference on a webcam. This can actually run in real-time. You can also check out my YOLOv7 Course where we cover everything from generating a dataset, setting up the model, training, and deployment. If you’re looking for courses and to extend your knowledge even more, check out this link here: 👉 If you enjoyed this video, be sure to press the 👍 button so that I know what content you guys like to see. _______________________________________________________________ 🧑🏻‍💻 My AI and Computer Vision Courses⭐: 📚 Research Paper Implementation Course: 📕 Object Detection Course:… 📗 OpenCV GPU Course: ... 📘 SegFormer Course: ... 📙 Object Tracking Course: 🦾 Online Courses with Job Guarantee on Springboard (Save $1000 with: “NICOLAINIELSEN“) _______________________________________________________________ 📞 Connect with Me: 🌍 My Website: 🤖 GitHub: 👉 LinkedIn: … 🐦 Twitter: _______________________________________________________________ ⌛TimeStamps⏳ Timestamps: 0:00 Intro 0:42 YOLOv8 Class 4:00 Load Model 5:53 Predict 6:29 Extract Info & Visualize 11:56 Main Loop 14:37 Results Tags: #yolov8 #yolo #objectdetection #ultralytics