YOLOv8 Complete Tutorial - Object Detection, Segmentation and Classification Explained

Learn comprehensive computer vision techniques through this tutorial playlist covering YOLOv8's object detection, segmentation, and classification capabilities. Master the anchor-free detection system architecture and convolutional block refinements while implementing real-world applications using Python and command-line interfaces. Explore custom dataset training for object detection and image segmentation, then advance to keypoint detection and pose estimation techniques. Build practical web applications using Flask integration and implement real-time object tracking with DeepSORT and ByteTrack algorithms. Develop specialized applications including automatic number plate recognition with EasyOCR, vehicle detection and counting systems, and speed detection for autonomous driving scenarios using the KITTI dataset. Optimize model performance through TensorRT integration and explore oriented bounding box detection for complex object orientations. Gain hands-on experience with the Ultralytics Python package installation and seamless integration workflows, progressing from beginner-friendly introductions to advanced multi-object tracking and counting implementations suitable for production deployment.