YOLOv8 Object Detection - First Look Live Coding

Explore the newly released YOLOv8 model for object detection in Python through this comprehensive live coding session. Dive into the installation process, learn to detect objects in images and webcam feeds, and experiment with larger model weights. Discover the Python API, utilize Kaggle notebooks and Google Colab, and apply the model to predict objects in car driving videos. Follow along as debugging techniques for orientation issues are demonstrated, and engage in discussions about the results and various aspects of the YOLOv8 model.

Intro
YOLOv8 Overview and Install
Detecting Object in Image
Detecting on Webcam
Using Larger Model Weights
Python API
Kaggle Notebook and Google Colab
Discussion with Chat
Predicting on Car Driving Video
Debugging Orientation Issue
Car Driving Video Results
Misc Discussion