PHLinkedin - Hands-On AI Computer Vision Projects with Ultralytics and OpenCV
Released 05/2025
With Rizwan Munawar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 3h 34m 10s | Size: 1.62 GB
Learn various computer vision techniques and how to apply them to solve real-world challenges in the field.
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
Homepage
Code:
https://www.linkedin.com/learning/hands-on-ai-computer-vision-projects-with-ultralytics-and-opencv
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