Enroll Course: https://www.udemy.com/course/yolov8-seg/
If you’re interested in computer vision and deep learning, the YOLOv8实战课程 on Udemy is a must-try. This course provides an in-depth, hands-on approach to training your own instance segmentation datasets using Ultralytics’ latest YOLOv8 framework. The instructor guides you through the entire process, from environment setup on Windows and Ubuntu, including Nvidia drivers, CUDA, and CUDNN, to installing PyTorch and YOLOv8. A significant highlight is the practical project focused on automotive driving scenes, where students learn to annotate images using LabelMe, convert datasets into the correct formats, and fine-tune models for multi-object segmentation tasks such as detecting potholes, vehicles, and lane markings. The course emphasizes real-world applications, making it highly valuable for aspiring AI engineers and hobbyists alike. The step-by-step tutorials ensure that even beginners can follow along and achieve results. Overall, this course is a comprehensive resource that equips you with the skills to implement YOLOv8 for complex instance segmentation projects, boosting your confidence and technical abilities in computer vision.
Enroll Course: https://www.udemy.com/course/yolov8-seg/