YOLO-NAS + v8 Full-Stack Computer Vision Course
Empowering AI Innovations with NVIDIA Jetson
RKCreated by Augmented AI, Ritesh Kanjee
Explore the power of YOLO-NAS and v8 to build advanced computer vision solutions. You'll learn to train, deploy, and optimize object detection and tracking models across multiple platforms. Gain practical experience in real-time AI applications, from web to mobile and edge devices.
Packt | May 2024 | 498 min
What You Will Learn
You will start by setting up and configuring YOLO-NAS and v8 models, then move into hands-on training using custom datasets. Through step-by-step video walkthroughs, you'll practice deploying models on different operating systems and devices. Real-world projects help you master integration with web and mobile apps, ensuring you can apply these skills professionally.
Key Features
- Upgrade and configure YOLO-NAS and v8 for advanced object detection tasks
- Train and deploy models efficiently on Windows, Ubuntu, Colab, and Jetson devices
- Integrate object tracking and segmentation into real-world web and mobile projects
Target Audience
Designed for software developers, AI practitioners, and data scientists with a basic understanding of machine learning and Python. If you want to expand your computer vision expertise and work on practical AI projects across platforms, this course will help you build the confidence and skills needed for real-world applications.
