Computer Vision Bootcamp with Python: YOLO, SAM & RF-DETR

🎉 Mastering AI with YOLO-NAS, OpenAI's SAM & Web App Development! 🤖🚀

Course Headline: YOLO-NAS, Train Custom Dataset, Object Detection, Segmentation, Object Tracking, Real World 16+ Projects & Web Apps using Flask and Streamlit

Course Introduction:

Welcome to the YOLO-NAS, OpenAI's SAM with WebApps using Flask and Streamlit course! This is not just another online course—it's a deep dive into the future of AI with hands-on projects and practical applications. We'll explore the capabilities of YOLO-NAS, the power of the Segment Anything Model (SAM), and the integrative potential of ChatGPT. You'll work with real-world datasets, build your own web applications, and push the boundaries of what's possible with AI in image and video analysis.

What You'll Learn:

YOLO-NAS Mastery:

• 🔍 Understanding YOLO-NAS: Discover the foundational aspects of YOLO-NAS and its significance in object detection.
• 🚀 Implementing YOLO-NAS: Learn to implement YOLO-NAS on various platforms, including Windows, and understand its practical applications.
• 🎥 Object Detection with YOLO-NAS: Master the art of detecting objects in images, videos, and live webcam feeds using YOLO-NAS.
• 🧪 YOLO-NAS in Action: Engage with real-world scenarios such as vehicles counting (enterings and exits) and object tracking with cutting-edge techniques like DeepSORT and SORT.

Web App Development:

• 💻 Building Web Apps: Learn the importance of UI in web applications and how to build them effectively.
• ✨ Streamlit Integration: Combine YOLO-NAS with Streamlit to create intuitive, powerful web applications for various use cases.
• 🌍 Deployment: Get hands-on experience deploying your Streamlit applications.

Advanced Object Tracking and Detection:

• 🚗 License Plate Detection: Utilize YOLO-NAS to detect and recognize license plates with OCR tools like EasyOCR and PaddleOCR.
• 🆕 Multi-Camera App: Develop a multi-camera number plate recognition application using YOLO-NAS.
• 👥 Face Detection & Blurring: Implement face detection, gender classification, and even face blurring functionalities.
• 🔥 Heatmaps: Generate vehicle intensity heatmaps for enhanced analysis.

Real-World Applications:

• 🛡️ PPE Detection: Detect Personal Protective Equipment (PPE) with YOLO-NAS and create a web app to monitor workplace safety.
• 🍳 Recipe Generation: Combine YOLO-NAS and ChatGPT to generate recipes based on detected vegetables.

Segment Anything Model (SAM):

• 🖌️ Introduction to SAM: Get started with the latest from OpenAI – the Segment Anything Model.
• 🤹‍♂️ YOLO-NAS & SAM Integration: Learn how to use YOLO-NAS in conjunction with SAM for cutting-edge image segmentation tasks.

ChatGPT Integration:

• ✍️ ChatGPT Article Generator: Create a Streamlit application that generates articles with ChatGPT.
• 📱 YOLO-NAS & ChatGPT Synergy: Explore the combination of YOLO-NAS and ChatGPT in web applications for innovative solutions.

By the end of this course, you'll have a portfolio of 16+ real-world projects that showcase your skills in object detection, segmentation, object tracking, and web app development. You'll be equipped with the knowledge to tackle complex problems using AI and transform data into actionable insights.

Join us on this journey to become an AI expert with YOLO-NAS, SAM, and Flask & Streamlit! 🌟