Enroll Course: https://www.udemy.com/course/yolo-nas-object-detection-tracking-web-app-in-python-2023/
If you’re looking to elevate your computer vision skills with a hands-on, practical approach, the ‘Computer Vision Bootcamp with Python: YOLO, SAM & RF-DETR’ on Udemy is an excellent choice. This course offers an in-depth exploration of cutting-edge models like YOLO-NAS, Segment Anything Model, and ChatGPT, making it suitable for both beginners and experienced developers. The course stands out due to its extensive project-based learning, covering real-world applications such as object detection, tracking, image segmentation, and web app development using popular frameworks like Flask and Streamlit.
One of the key highlights is the detailed coverage of YOLO-NAS, including its implementation on images, videos, live webcam feeds, and integration with tracking algorithms like Deep SORT. Practical projects such as vehicle counting, license plate recognition, face detection, and PPE detection provide valuable experience. Additionally, the course delves into creating interactive web applications, emphasizing UI importance and deployment, which is crucial for deploying solutions in real-world scenarios.
Furthermore, the course introduces innovative concepts like combining YOLO-NAS with ChatGPT to build intelligent applications, as well as image segmentation with the Segment Anything Model. The hands-on projects are well-structured, and the inclusion of real-world datasets ensures you gain applicable skills.
In conclusion, I highly recommend this course for anyone interested in mastering computer vision with Python. It offers a robust mix of theory, practical applications, and web development, making it a comprehensive resource for advancing your skills in this rapidly evolving field.
Enroll Course: https://www.udemy.com/course/yolo-nas-object-detection-tracking-web-app-in-python-2023/