Enroll Course: https://www.udemy.com/course/yolo-nas-the-ultimate-course-for-object-detection-tracking/
If you’re passionate about computer vision and eager to learn the latest in object detection, the ‘YOLO-NAS: The Ultimate Course for Object Detection & Tracking’ on Coursera is a must-enroll. This comprehensive course introduces you to YOLO-NAS, a cutting-edge object detection model built using Neural Architecture Search (NAS) technology, which outperforms previous versions like YOLOv6 and YOLOv8.
Throughout the course, you’ll explore a wide range of topics including the basics of YOLO-NAS, its implementation on Windows, and how to apply it to real-world scenarios such as image and video detection, live webcam feeds, and custom datasets. Notable hands-on projects include potholes detection, PPE detection, vehicle counting, face mask detection, fire detection, and license plate recognition, among others.
The course excels in teaching practical skills like dataset annotation, training with transfer learning, and deploying models via Google Colab. It also delves into advanced applications such as multi-object tracking with SORT, privacy blurring, and creating interactive Streamlit apps integrated with YOLO-NAS and ChatGPT.
What sets this course apart is its focus on real-time applications and project-based learning, making it ideal for aspiring data scientists, developers, and AI enthusiasts. Whether you’re looking to enhance your portfolio or implement solutions for industrial automation, this course provides a solid foundation in modern object detection and tracking techniques.
I highly recommend this course for its thorough content, practical projects, and up-to-date technology. Enroll today to stay ahead in the rapidly evolving field of computer vision!
Enroll Course: https://www.udemy.com/course/yolo-nas-the-ultimate-course-for-object-detection-tracking/