Enroll Course: https://www.udemy.com/course/yolo-nas-object-detection-tracking-web-app-in-python-2023/
In the rapidly evolving world of artificial intelligence, computer vision stands out as a particularly exciting and impactful field. If you’re looking to get hands-on experience with cutting-edge techniques and build practical applications, the “Computer Vision Bootcamp with Python: YOLO, SAM & RF-DETR” course on Udemy is an absolute must-have.
This comprehensive course takes you on a journey through the latest advancements in object detection and image segmentation, focusing on powerful tools like YOLO-NAS, the Segment Anything Model (SAM), and even integrating the capabilities of ChatGPT. What sets this course apart is its incredibly practical approach, packed with over 16 real-world projects that cover everything from basic object detection on images and videos to complex web app development using Flask and Streamlit.
One of the standout features is the in-depth exploration of YOLO-NAS, a new foundation model for object detection. The course meticulously details its implementation, whether you’re working on Windows or prefer the flexibility of Google Colab. You’ll learn how to perform object detection on static images, dynamic videos, and even live webcam feeds. The integration with DeepSORT for object tracking is also thoroughly covered, leading to practical applications like vehicle counting and analyzing traffic flow.
The course doesn’t stop at object detection. It seamlessly transitions into image segmentation using both YOLO-NAS and the groundbreaking Segment Anything Model. This opens up a world of possibilities for precise object isolation and analysis.
Beyond the core computer vision tasks, the course shines in its web application development modules. You’ll learn how to build intuitive and interactive web UIs using Streamlit, integrating your YOLO-NAS models for tasks like empty shelf detection, license plate recognition (with OCR integration using EasyOCR and PaddleOCR), face detection and blurring, and even PPE detection. The ability to deploy these applications is also a key takeaway.
What truly elevates this bootcamp is the forward-thinking integration of ChatGPT. You’ll discover how to combine the power of YOLO-NAS with ChatGPT to create innovative applications, such as a recipe generator based on detected vegetables or an article generator. This blend of computer vision and natural language processing is where the future of AI is heading.
With its wealth of hands-on projects, clear explanations, and coverage of the most relevant tools in computer vision today, this Udemy course is an exceptional resource for anyone looking to build real-world AI applications. Whether you’re a beginner eager to dive in or an experienced developer looking to upskill, this course provides the knowledge and practical skills you need to succeed.
Enroll Course: https://www.udemy.com/course/yolo-nas-object-detection-tracking-web-app-in-python-2023/