Enroll Course: https://www.udemy.com/course/yolo-nas-object-detection-tracking-web-app-in-python-2023/
In the rapidly evolving field of computer vision, staying ahead of the curve is paramount. If you’re looking to gain practical, hands-on experience with cutting-edge technologies, then the “Computer Vision Bootcamp with Python: YOLO, SAM & RF-DETR” course on Udemy is an absolute must-have. This comprehensive program doesn’t just introduce you to new models; it immerses you in their real-world application, equipping you with the skills to build powerful computer vision solutions.
The course masterfully breaks down complex topics, starting with the revolutionary YOLO-NAS, a new foundation model for object detection. You’ll learn not only what makes YOLO-NAS special but also how to implement it across various platforms, including Windows and Google Colab. The practical exercises are plentiful, covering object detection on images, videos, and even live webcam feeds. What truly sets this course apart is its integration of advanced tracking techniques, such as YOLO-NAS + DeepSORT, allowing you to count vehicles entering and leaving specific areas – a fantastic real-world application.
Beyond object detection, the bootcamp delves into the fascinating world of Image Segmentation using both YOLO-NAS and the groundbreaking Segment Anything Model (SAM). This opens up a new dimension of image analysis, enabling precise object isolation and manipulation.
A significant portion of the course is dedicated to building practical web applications using Python frameworks like Flask and Streamlit. You’ll learn how to seamlessly integrate your computer vision models into user-friendly web interfaces. Projects include creating a vehicle counting app, license plate detection and recognition systems (utilizing libraries like EasyOCR and PaddleOCR), face detection and blurring, and even PPE detection. The ability to deploy these applications makes this course incredibly valuable for aspiring computer vision engineers and developers.
The course doesn’t stop there. It boldly steps into the realm of AI integration by showing you how to combine YOLO-NAS with ChatGPT. Imagine building a Streamlit app that generates recipes based on detected vegetables – this course shows you how! The final modules explore advanced topics like multi-camera number plate recognition and creating vehicle intensity heatmaps, further solidifying your expertise.
With over 16 real-world projects, this course offers an unparalleled learning experience. The instructors provide clear explanations and practical guidance, making even the most advanced concepts accessible. Whether you’re a beginner looking to enter the field or an experienced developer wanting to update your skill set, this bootcamp is an investment that will undoubtedly pay dividends.
Recommendation: Highly Recommended!
Enroll Course: https://www.udemy.com/course/yolo-nas-object-detection-tracking-web-app-in-python-2023/