Hands-On AI: Computer Vision Projects with Ultralytics and OpenCV
With Rizwan Munawar
Liked by 35 users
Duration: 3h 34m
Skill level: Intermediate
Released: 5/6/2025
Course details
Get an in-depth overview of computer vision algorithms in the YOLO family and demonstrate how to use these algorithms to address real-world challenges. This course includes technical walkthroughs for essential techniques like image classification, object detection, object tracking, instance segmentation, pose estimation, and oriented bounding boxes (OBB) using the Ultralytics Python package. Instructor Muhammad Munawar guides you through annotating data, training models, and exporting them, highlighting how the export process speeds up inference time. Additionally, see how Ultralytics solutions are tailored for solving practical computer vision challenges, with in-depth technical implementation examples provided throughout the course
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- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
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