YOLO11 Tutorial on Object Detection, Segmentation, Pose Estimation and Image Classification
Offered By: Code With Aarohi via YouTube
Course Description
Overview
Learn to perform object detection, instance segmentation, pose estimation, and image classification using YOLO11 in this comprehensive video tutorial. Explore the cutting-edge Ultralytics YOLO11 model, which builds upon previous YOLO versions with enhanced features and improved performance. Discover how this state-of-the-art model combines speed, accuracy, and ease of use for a wide range of computer vision tasks. Gain hands-on experience with practical examples and access the accompanying GitHub repository for further exploration. Perfect for developers and researchers looking to leverage the power of YOLO11 in their projects.
Syllabus
YOLO11 Tutorial on Object Detection, Segmentation, Pose Estimation & Image Classification
Taught by
Code With Aarohi
Related Courses
Advanced Computer Vision with Python - Full CoursefreeCodeCamp Pose Estimation - Deep Learning Using OpenPose Tutorials
Augmented Startups via YouTube TensorFlow Computer Vision Tutorials - OpenCV Python
Augmented Startups via YouTube AI for Everyone - Parsing Pose and Hand Landmark Data in Mediapipe
Paul McWhorter via YouTube UniFormer
Launchpad via YouTube